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Patient opinions regarding ‘pay for performance for patients’. J Gen Intern Med. 2008;23(10):1647–52.\nRitter A, Cameron J. Australian clinician attitudes towards contingency management: comparing down under with America. Drug Alcohol Dep. 2007;87(2–3):312–5.\nPromberger M, Dolan P, Marteau TM. “Pay them if it works”: Discrete choice experiments on the acceptability of financial incentives to change health related behaviour. Soc Sci Med. 2012;75(12):2509–14.\nWhelan B, Van Cleemput P, Strong M, Relton C. Views on the acceptability of financial incentives for breastfeeding: a qualitative study. Lancet. 2013;382:S103.\nKesten J, Cohn S, Ogilvie D. The contribution of media analysis to the evaluation of environmental interventions: the commuting and health in Cambridge study. BMC Public Health. 2014;14(1):482.\nRelton C. NOSH: Feasibility study and RCT. UK: Clinical Research Network; 2013.\nBreastfeeding mothers offered £200 in shop vouchers. [http:\u002F\u002Fwww.bbc.co.uk\u002Fnews\u002Fhealth-24900650]\nMothers to get a £200 incentive to breastfeed… in Poundstretcher vouchers: Critics claim scheme is form of bribery. [http:\u002F\u002Fwww.dailymail.co.uk\u002Fnews\u002Farticle-2501812\u002FMothers-200-incentive-breastfeed%2D-Poundstretcher-vouchers-Critics-claim-scheme-form-bribery.html]\nResearchers to offer shopping vouchers to mothers who breastfeed. [http:\u002F\u002Fwww.theguardian.com\u002Flifeandstyle\u002F2013\u002Fnov\u002F12\u002Fresearchers-offer-shopping-vouchers-breastfeed#start-of-comments]\nNew mothers will NOT be paid to breastfeed, Nick Clegg says as he insists controversial voucher scheme is not government policy. [http:\u002F\u002Fwww.dailymail.co.uk\u002Fnews\u002Farticle-2507269\u002FNew-mothers-NOT-paid-breastfeed-Nick-Clegg-says-insists-controversial-voucher-scheme-government-policy.html]\nThe nanny state? Mothers could be given shopping vouchers for breastfeeding their babies. [http:\u002F\u002Fwww.independent.co.uk\u002Flife-style\u002Fhealth-and-families\u002Fhealth-news\u002Fthe-nanny-state-mothers-could-be-paid-to-breastfeed-their-babies-8933503.html]\nOffering poorer mothers £200 to breastfeed is barmy, middle-class lactivism. [http:\u002F\u002Fwww.independent.co.uk\u002Fvoices\u002Fcomment\u002Foffering-poorer-mothers-200-to-breastfeed-is-barmy-middleclass-lactivism-8935416.html]\nNew mothers ‘bribed to breastfeed’ by NHS with £200 shopping vouchers. [http:\u002F\u002Fwww.telegraph.co.uk\u002Fhealth\u002Fhealthnews\u002F10442290\u002FNew-mothers-bribed-to-breastfeed-by-NHS-with-200-shopping-vouchers.html#disqus_thread]\nThe worst breastfeeding initiative I’ve ever come across. [http:\u002F\u002Fwww.theguardian.com\u002Fcommentisfree\u002F2013\u002Fnov\u002F12\u002Fworst-breastfeeding-initiative-shopping-vouchers?INTCMP=ILCNETTXT3487]\nVouchers for breastfeeding are an insult to mums. 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Oxford: Oxford University Press; 2001.\nCameron J, Ritter A. Contingency management: perspectives of Australian service providers. Drug Alcohol Rev. 2007;26(2):183–9.\nNoar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133(4):673–93.\nSorensen K, Van den Broucke S, Fullam J, Doyle G, Pelikan J, Slonska Z, et al. Health literacy and public health: a systematic review and integration of definitions and models. BMC Public Health. 2012;12(1):80.\nCensus and geodemographics. [https:\u002F\u002Fwww.mrs.org.uk\u002Fmrs\u002Fcensus_and_geodemographics_group]",{"EN":188,"VI":189},"Whilst it is recommended that babies are breastfed exclusively for the first six months, many mothers do not maintain breastfeeding for this length of time. Previous research confirms that women and midwives value financial incentives for breastfeeding, but limited research has explored the wider acceptability of these interventions to the general public. This paper examines opinion towards financial incentives for breastfeeding using reader responses to UK on-line media coverage of a study undertaken in this area. This study used netnography to undertake a thematic analysis of 3,373 reader comments posted in response to thirteen articles, published in November 2013, which reported findings from a feasibility study of financial incentives for breastfeeding. All articles were published on one of six UK news websites that achieved a monthly audience of at least five million viewers across laptop and desktop computers and mobile devices during April-May 2013. Nine analytical themes were identified, with a majority view that financial incentives for breastfeeding are unacceptable. These themes cover a range of opinions: from negligent parents unable to take responsibility for their own actions; through to psychologically vulnerable members of society who should be protected from coercion and manipulation; to capable and responsible women who can, and should be allowed to, make their own decisions. Many views focused on the immediate costs of the intervention, concluding that this was something that was currently unaffordable to fund (e.g. by the NHS). Others contrasted the value of the incentive against other ‘costs’ of breastfeeding. There was some consideration of the issue of cost-effectiveness and cost-saving, where the potential future benefit from initial investment was identified. Many commenters identified that financial incentives do not address the many structural and cultural barriers to breastfeeding. Overall, those commenting on the on-line UK news articles viewed financial incentives for breastfeeding as unacceptable and that alternative, structural, interventions were likely to be more effective. Further consideration of how best to conduct internet-based qualitative research to elicit opinion towards public health issues is required.","Mặc dù được khuyến nghị rằng trẻ sơ sinh nên được cho bú hoàn toàn trong sáu tháng đầu đời, nhưng nhiều bà mẹ không duy trì việc cho bú lâu như vậy. Nghiên cứu trước đây xác nhận rằng phụ nữ và những người hỗ trợ sinh đẻ đánh giá cao các khoản khuyến khích tài chính cho việc cho bú, nhưng số lượng nghiên cứu hạn chế đã khám phá khả năng chấp nhận rộng rãi những can thiệp này từ công chúng. Bài báo này xem xét ý kiến về các khoản khuyến khích tài chính cho việc cho bú thông qua phản hồi của độc giả đối với các báo cáo truyền thông trực tuyến tại Vương quốc Anh về một nghiên cứu thực hiện trong lĩnh vực này. Nghiên cứu này đã sử dụng netnography để thực hiện phân tích chủ đề từ 3.373 ý kiến độc giả được đăng sau mười ba bài báo, được xuất bản vào tháng 11 năm 2013, báo cáo kết quả từ một nghiên cứu khả thi về các khoản khuyến khích tài chính cho việc cho bú. Tất cả các bài báo đều được phát hành trên một trong sáu trang web tin tức tại Vương quốc Anh, đạt được một lượng người xem hàng tháng ít nhất năm triệu người trên máy tính xách tay, máy tính để bàn và thiết bị di động trong tháng 4-5 năm 2013. Chín chủ đề phân tích đã được xác định, với quan điểm chủ yếu cho rằng các khoản khuyến khích tài chính cho việc cho bú là không thể chấp nhận. Những chủ đề này bao gồm một loạt ý kiến: từ những bậc cha mẹ thiếu trách nhiệm không thể tự chịu trách nhiệm về hành động của mình; cho đến các thành viên của xã hội dễ bị tổn thương về tâm lý cần được bảo vệ khỏi sự ép buộc và thao túng; đến những người phụ nữ có khả năng và trách nhiệm có thể, và nên được phép, tự đưa ra quyết định của riêng mình. Nhiều ý kiến tập trung vào chi phí ngay lập tức của can thiệp, kết luận rằng đây là điều mà hiện tại không thể chi trả được (ví dụ: từ NHS). Những ý kiến khác đã so sánh giá trị của khoản khuyến khích với các ‘chi phí’ khác của việc cho bú. Có một số xem xét về vấn đề tính hiệu quả chi phí và tiết kiệm chi phí, trong đó lợi ích tiềm năng trong tương lai từ khoản đầu tư ban đầu đã được nhận diện. Nhiều bình luận viên đã chỉ ra rằng các khoản khuyến khích tài chính không giải quyết được nhiều rào cản cơ cấu và văn hóa đối với việc cho bú. Tổng thể, những người bình luận về các bài báo tin tức trực tuyến tại Vương quốc Anh đã coi các khoản khuyến khích tài chính cho việc cho bú là không thể chấp nhận và rằng các can thiệp cơ cấu thay thế có khả năng hiệu quả hơn. Cần tiếp tục xem xét cách tốt nhất để thực hiện nghiên cứu định tính dựa trên internet nhằm thu thập ý kiến về các vấn đề sức khỏe cộng đồng.",{"EN":191,"VI":192},"Acceptability of financial incentives for breastfeeding: thematic analysis of readers’ comments to UK online news reports","Tính chấp nhận của các khoản khuyến khích tài chính cho việc cho con bú: phân tích chủ đề từ các ý kiến của độc giả về các báo cáo tin tức trực tuyến của Vương quốc Anh",{"VOID":194},"10.1186\u002Fs12884-015-0549-5",{"VI":196},"khuyến khích tài chính, cho bú, nghiên cứu chất lượng, chấp nhận xã hội, rào cản văn hóa","PUBLICATION","VERIFIED","2025-02-05T17:05:17.014+00:00","Auto Verify",[202],"VI","https:\u002F\u002Fbmcpregnancychildbirth.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12884-015-0549-5",[205,221,237,253,268],{"id":206,"sortIndex":154,"researcher":18,"roles":207,"affiliations":209,"properties":218},"989937e2-f0e4-45d8-a4b7-babcd43eb2e5",[208],"AUTHOR",[210],{"id":18,"sortIndex":19,"affiliation":211,"properties":18},{"id":212,"createTime":213,"updateTime":213,"relativeEntities":214,"slug":18,"properties":215,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"de9656f1-1127-46b2-87bb-f6f84bf36db7","2024-02-07T10:07:06.694+00:00",[],{"title":216},{"VI":217},"Institute of Health & Society, Newcastle Clinical Trials Unit, The Medical School, Newcastle University, Newcastle upon Tyne, UK",{"title":219},{"VI":220},"Elaine McColl",{"id":222,"sortIndex":223,"researcher":18,"roles":224,"affiliations":225,"properties":234},"e573fe18-220b-453a-a529-500c87d3a12d",1,[208],[226],{"id":18,"sortIndex":19,"affiliation":227,"properties":18},{"id":228,"createTime":229,"updateTime":229,"relativeEntities":230,"slug":18,"properties":231,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"c71e905c-b948-43ba-b0d2-9514f658627e","2023-12-21T07:13:04.790+00:00",[],{"title":232},{"VI":233},"The Medical School, Newcastle University, Newcastle Upon Tyne, UK",{"title":235},{"VI":236},"Matthew Holmes",{"id":238,"sortIndex":239,"researcher":18,"roles":240,"affiliations":241,"properties":250},"be8ced8c-8e0c-44bf-ba7d-9ea8f04a105e",3,[208],[242],{"id":18,"sortIndex":19,"affiliation":243,"properties":18},{"id":244,"createTime":245,"updateTime":245,"relativeEntities":246,"slug":18,"properties":247,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"cac3e768-e155-4079-906a-d8d46dcd8d8b","2024-02-07T10:07:06.673+00:00",[],{"title":248},{"VI":249},"Health and Social Care Institute, Teesside University, Middlesbrough, UK",{"title":251},{"VI":252},"Falko F Sniehotta",{"id":254,"sortIndex":110,"researcher":18,"roles":255,"affiliations":256,"properties":265},"aaffd2e6-eea4-4a6a-a153-d311f4d14269",[208],[257],{"id":18,"sortIndex":19,"affiliation":258,"properties":18},{"id":259,"createTime":260,"updateTime":260,"relativeEntities":261,"slug":18,"properties":262,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"253d1900-1766-45d3-8a0b-7970fd9f9a34","2024-02-07T10:07:06.725+00:00",[],{"title":263},{"VI":264},"Centre for Diet and Activity Research, MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Level 3 Institute of Metabolic Science, Addenbrooke’s Treatment Centre, Cambridge, UK",{"title":266},{"VI":267},"Jean M Adams",{"id":269,"sortIndex":19,"researcher":18,"roles":270,"affiliations":271,"properties":277},"1c4e20e4-b287-40a8-9c8d-d9c4d4e47124",[208],[272],{"id":18,"sortIndex":19,"affiliation":273,"properties":18},{"id":244,"createTime":245,"updateTime":245,"relativeEntities":274,"slug":18,"properties":275,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":276},{"VI":249},{"title":278},{"VI":279},"Emma L 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GJ. Labor among primitive peoples. St Louis: J.H. Chambers & Co; 1883. p. 260.\nda Silva FMB, de Oliveira SMJV, Bick D, Osava RH, Tuesta EF, Riesco MLG. Risk factors for birth-related perineal trauma: a cross-sectional study in a birth centre. J Clin Nurs. 2012;21:2209–18.\nLien Y-S, Chen G-D, Ng S-C. Prevalence of and risk factors for pelvic organ prolapse and lower urinary tract symptoms among women in rural Nepal. Int J Gynaecol Obstet Off Organ Int Fed Gynaecol Obstet. 2012;119:185–8.\nAtwood RJ. Parturitional posture and related birth behavior. Acta Obstet Gynecol Scand Suppl. 1976;57:1–25.\nDesseauve D, Fradet L, Lacouture P, Pierre F. Position for labor and birth: state of knowledge and biomechanical perspectives. Eur J Obstet Gynecol Reprod Biol. 2017;208:46–54.\nDas De SBP, Bose K. Squatting posture in Asians and development of the inferior hip sourcil. J Orthop Surg. 1994;2:33–7.\nHemmerich A, Brown H, Smith S, Marthandam SSK, Wyss UP. Hip, knee, and ankle kinematics of high range of motion activities of daily living. J Orthop Res Off Publ Orthop Res Soc. 2006;24:770–81.\nKlein M. Alternative birth positions. Can Fam Physician. 1988;34:2621–2.\nReid AJ, Harris NL. Alternative birth positions. Can Fam Physician. 1988;34:1993–8.\nGold EM. “Pelvic drive” in obstetrics: an x-ray study of 100 cases. Am J Obstet Gynecol. 1950;59:890–6.\nForrester SE. Selecting the number of trials in experimental biomechanics studies. Int Biomech. 2015;2:62–72.\nDesseauve D, Pierre F, Gachon B, Decatoire A, Lacouture P, Fradet L. New approaches for assessing childbirth positions. J Gynecol Obstet Hum Reprod. 2017;46:189–95.\nSakakibara R, Tsunoyama K, Hosoi H, Takahashi O, Sugiyama M, Kishi M, et al. Influence of body position on defecation in humans. Low Urin Tract Symptoms. 2010;2:16–21.",{"EN":327},"The squatting birth position is widely used for “natural” birth or in countries where childbirth occurs in non-medical facilities. Squatting birth positions, like others, are roughly defined so a biomechanical assessment is required with the availability of noninvasive technology in pregnant women. In practice, we can observe spontaneously two kinds of squatting birth position: on tiptoes and with feet flat. To compare the impact of foot posture on biomechanical parameters considered essential in obstetrical biomechanics during a squatting birth position: on tiptoes versus with feet flat on the floor. Thirteen pregnant women beyond 32 weeks of gestational age who were not in labor were assessed during squatting birth position firstly spontaneously and secondly with the foot posture that was not taken spontaneously (on the tiptoes vs with feet flat). For each position, ANGle of flexion on the spine of the plane of the pelvis external conjugate (ANGec), hip flexion and abduction, and lumbar curve were assessed using an optoelectronic motion capture system and a biomechanical model adapted from the conventional gait model as well as a measuring system of the lumbar curve. Spontaneously, 11 out of 13 women squatted on tiptoe at the first test. On tiptoes the hip flexion was lower than with feet flat (p \u003C 0.02), whereas hip abduction was not significantly different (p = 0.28). A lower ANGec angle (p = 0.003) was noticed for the tiptoe position than feet flat. The lumbar curve (lordosis) was more marked for the squatting position on tiptoes than for the position with feet flat (p \u003C 0.001). On tiptoes no woman had a pelvic inlet plane perpendicular to the spine and none had a flat back or kyphosis. No woman on tiptoes fulfilled the two conditions necessary for the position that we consider optimal. In squatting birth position, foot posture has a biomechanical impact on lumbar curve and pelvic orientation. When comparing squatting positions (on tiptoes vs feet flat), feet flat on the ground is closer to optimal birth conditions than on tiptoes.",{"EN":329},"Is there an impact of feet position on squatting birth position? An innovative biomechanical pilot study",{"VOID":331},"10.1186\u002Fs12884-019-2408-2","https:\u002F\u002Fbmcpregnancychildbirth.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12884-019-2408-2",[334,349,391,403],{"id":335,"sortIndex":154,"researcher":18,"roles":336,"affiliations":337,"properties":346},"8e7410b8-4508-4b39-aa66-9d3b9146e5e3",[208],[338],{"id":18,"sortIndex":19,"affiliation":339,"properties":18},{"id":340,"createTime":341,"updateTime":341,"relativeEntities":342,"slug":18,"properties":343,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"59b995e4-703f-41fc-9822-cc622c4ca9eb","2024-01-03T05:47:09.331+00:00",[],{"title":344},{"VI":345},"Pprime Institute - CNRS UPR 3346, Axis RoBioSS, Poitiers University, Poitiers, France",{"title":347},{"VI":348},"Patrick Lacouture",{"id":350,"sortIndex":19,"researcher":18,"roles":351,"affiliations":352,"properties":388},"3961f4bf-8277-4572-9125-425cf77298d3",[208],[353,363,373,380],{"id":354,"sortIndex":239,"affiliation":355,"properties":362},"efe1137a-5fde-47a1-8d86-e8f411e03f3d",{"id":356,"createTime":357,"updateTime":357,"relativeEntities":358,"slug":18,"properties":359,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"541938e4-0bbf-4b37-8109-658e791fe2d9","2024-01-03T05:47:09.384+00:00",[],{"title":360},{"VI":361},"Present Address: Department of Obstetrics and Gynecology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland",{},{"id":364,"sortIndex":154,"affiliation":365,"properties":372},"b55abdac-74b5-4d04-bdaa-9241490af851",{"id":366,"createTime":367,"updateTime":367,"relativeEntities":368,"slug":18,"properties":369,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"a9cc89ed-bcdf-493a-a771-24efbb228f15","2024-01-03T05:47:09.362+00:00",[],{"title":370},{"VI":371},"Faculty of Biology and Medicine, Lausanne University, Lausanne, Switzerland",{},{"id":374,"sortIndex":223,"affiliation":375,"properties":379},"3d55b243-659f-4591-8a7d-5e558daea8fa",{"id":340,"createTime":341,"updateTime":341,"relativeEntities":376,"slug":18,"properties":377,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":378},{"VI":345},{},{"id":18,"sortIndex":19,"affiliation":381,"properties":18},{"id":382,"createTime":383,"updateTime":383,"relativeEntities":384,"slug":18,"properties":385,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"2c1146c9-7084-413c-b331-66a431faf16a","2024-01-03T05:47:09.303+00:00",[],{"title":386},{"VI":387},"Department of Obstetrics and Gynecology and Reproductive Medicine, University Hospital, Poitiers University, Poitiers, France",{"title":389},{"VI":390},"David 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AP, et al. The increasing trend in caesarean section rates: global, regional and national estimates: 1990-2014. PLoS One. 2016;11(2):e0148343.\nBetran AP, et al. Interventions to reduce unnecessary caesarean sections in healthy women and babies. Lancet. 2018;392(10155):1358–68.\nBetran AP, et al. WHO statement on caesarean section rates. BJOG. 2016;123(5):667–70.\nMariani GL, Vain NE. The rising incidence and impact of non-medically indicated pre-labour cesarean section in Latin America. Semin Fetal Neonatal Med. 2019;24(1):11–7.\nSobhy S, et al. Maternal and perinatal mortality and complications associated with caesarean section in low-income and middle-income countries: a systematic review and meta-analysis. Lancet. 2019;393(10184):1973–82.\nOlogunde R, et al. Assessment of cesarean delivery availability in 26 low-and middle-income countries: a cross-sectional study. Am J Obstet Gynecol. 2014;211(5):504.e1–504.e12.\nGibson K, Bailit JL. Cesarean delivery as a marker for obstetric quality. Clin Obstet Gynecol. 2015;58(2):211–6.\nWorld Health Organization. Global survey on maternal and perinatal health. 2019. [June 5, 2019]. Available from: https:\u002F\u002Fwww.who.int\u002Freproductivehealth\u002Ftopics\u002Fmaternal_perinatal\u002Fglobalsurvey\u002Fen\u002F.\nShah A, et al. Methodological considerations in implementing the WHO global survey for monitoring maternal and perinatal health. Bull World Health Organ. 2008;86(2):126–31.\nLumbiganon P, et al. Method of delivery and pregnancy outcomes in Asia: the WHO global survey on maternal and perinatal health 2007–08. Lancet. 2010;375(9713):490–9.\nShah A, et al. Cesarean delivery outcomes from the WHO global survey on maternal and perinatal health in Africa. Int J Gynecol Obstet. 2009;107(3):191–7.\nVillar J, et al. Caesarean delivery rates and pregnancy outcomes: the 2005 WHO global survey on maternal and perinatal health in Latin America. Lancet. 2006;367(9525):1819–29.\nVogel JP, et al. Use of the Robson classification to assess caesarean section trends in 21 countries: a secondary analysis of two WHO multicountry surveys. Lancet Glob Health. 2015;3(5):e260–70.\nMaswime S, Buchmann E. A systematic review of maternal near miss and mortality due to postpartum hemorrhage. Int J Gynecol Obstet. 2017;137(1):1–7.\nHuman Development Index. Human Development Index. 2008. [July 17, 2019]. Available from: http:\u002F\u002Fhdr.undp.org\u002Fen\u002Fdata.\nRobson MS. Classification of caesarean sections. Fetal Matern Med Rev. 2001;12(1):23–39.\nWorld Health Organization. Robson classification: implementation manual. 2017. [June 5, 2019]. Available from: https:\u002F\u002Fwww.who.int\u002Freproductivehealth\u002Fpublications\u002Fmaternal_perinatal_health\u002Frobson-classification\u002Fen\u002F.\nNimi T, et al. Prenatal care and pregnancy outcomes: a cross-sectional study in Luanda, Angola. Int J Gynecol Obstet. 2016;135(S1):S72–8.\nWilson RD, et al. Guidelines for antenatal and preoperative care in cesarean delivery: enhanced recovery after surgery society recommendations (part 1). Am J Obstet Gynecol. 2018;219(6):523.e1–523.e15.\nWorld Health Organization. WHO recommendations on antenatal care for a positive pregnancy experience; 2016. p. 1–172.\nVogel JP, et al. Antenatal care packages with reduced visits and perinatal mortality: a secondary analysis of the WHO antenatal care trial. Reprod Health. 2013;10(1):19.\nYeoh PL, Hornetz K, Dahlui M. Antenatal care utilisation and content between low-risk and high-risk pregnant women. PLoS One. 2016;11(3):e0152167.\nMalouf R, Redshaw M. Specialist antenatal clinics for women at high risk of preterm birth: a systematic review of qualitative and quantitative research. BMC Pregnancy Childbirth. 2017;17(1):51.\nHumphrey MD, Foxcroft KF, Callaway LK. Obstetric risk score - revalidated for triaging high-risk pregnancies in rural areas. Aust N Z J Obstet Gynaecol. 2017;57(1):63–7.\nSay L, et al. Global causes of maternal death: a WHO systematic analysis. Lancet Glob Health. 2014;2(6):e323–33.\nAbalos E, et al. Pre-eclampsia, eclampsia and adverse maternal and perinatal outcomes: a secondary analysis of the World Health Organization multicountry survey on maternal and newborn health. BJOG. 2014;121(Suppl 1):14–24.\nWorld Health Organization. WHO recommendations for prevention and treatment of pre-eclampsia and eclampsia. Chicago: World Health Organization; 2011.\nAmerican College of Obstetricians and Gynecologists. Gestational hypertension and preeclampsia: ACOG Practice Bulletin, number 222. Obstet Gynecol. 2020;135(6):e237–e260.\nWorld Health Organization. WHO recommendations: intrapartum care for a positive childbirth experience; 2018. p. 1–210.\nWorld Health Organization. WHO safe childbirth checklist implementation guide: improving the quality of facility-based delivery for mothers and newborns. 2015 [June 11, 2019]. Available from: https:\u002F\u002Fapps.who.int\u002Firis\u002Fbitstream\u002Fhandle\u002F10665\u002F199177\u002F9789241549455_eng.pdf?sequence=1.\nSuwal A, Shrivastava VR, Giri A. Maternal and fetal outcome in elective versus emergency cesarean section. JNMA J Nepal Med Assoc. 2013;52(192):563–6.\nBenzouina S, et al. Fetal outcome in emergency versus elective cesarean sections at Souissi Maternity Hospital, Rabat, Morocco. Pan Afr Med J. 2016;23:197.\nBetran AP. Reducing unnecessary cesarean section: a generic formative phase protocol for implementation preparation: World Health Organization; 2019. p. 1–148.\nBetran AP, et al. What is the optimal rate of caesarean section at population level? A systematic review of ecologic studies. Reprod Health. 2015;12:57.\nACOG, Safe prevention of the primary cesarean delivery. 2016.\nSmith H, Peterson N, Lagrew D, Main E. Toolkit to support vaginal birth and reduce primary cesareans: a quality improvement toolkit. Stanford: California Maternal Quality Care Collaborative; 2016.",{"EN":460},"To identify risk factors associated with a composite adverse maternal outcomes in women undergoing intrapartum cesarean birth. We used the facility-based, multi-country, cross-sectional WHO Global Survey of Maternal and Perinatal Health (2004–2008) to examine associations between woman-, labor\u002Fobstetric-, and facility-level characteristics and a composite adverse maternal outcome of postpartum morbidity and mortality. This analysis was performed among women who underwent intrapartum cesarean birth during the course of labor. We analyzed outcomes of 29,516 women from low- and middle-income countries who underwent intrapartum cesarean birth between the gestational ages of 24 and 43 weeks, 3.5% (1040) of whom experienced the composite adverse maternal outcome. In adjusted analyses, factors associated with a decreased risk of the adverse maternal outcome associated with intrapartum cesarean birth included having four or more antenatal visits (AOR 0.60; 95% CI: 0.43–0.84; p = 0.003), delivering in a medium- or high-human development index country (vs. low-human development index country: AOR 0.07; 95% CI: 0.01–0.85 and AOR 0.02; 95% CI: 0.001–0.39, respectively; p = 0.03), and malpresentation (vs. cephalic: breech AOR 0.52; CI: 0.31–0.87; p = 0.04). Women who were medically high risk (vs. not medically high risk: AOR 1.81; CI: 1.30–2.51, p \u003C 0.0004), had less education (0–6 years) (vs. 13+ years; AOR 1.64; CI: 1.03–2.63; p = 0.01), were obstetrically high risk (vs. not high risk; AOR 3.67; CI: 2.58–5.23; p \u003C 0.0001), or had a maternal or obstetric indication (vs. elective: AOR 4.74; CI: 2.36–9.50; p \u003C 0.0001) had increased odds of the adverse outcome. We found reduced adverse maternal outcomes of intrapartum cesarean birth in women with ≥ 4 antenatal visits, those who delivered in a medium or high human development index country, and those with malpresenting fetuses. Maternal adverse outcomes associated with intrapartum cesarean birth were medically and obstetrically high risk women, those with less education, and those with a maternal or obstetric indication for intrapartum cesarean birth.",{"EN":462},"Risk factors associated with adverse maternal outcomes following intrapartum cesarean birth: a secondary analysis of the WHO global survey on maternal and perinatal health, 2004–2008",{"VOID":464},"10.1186\u002Fs12884-020-03390-0","https:\u002F\u002Fbmcpregnancychildbirth.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12884-020-03390-0",[467,482,499,515,527,542],{"id":468,"sortIndex":109,"researcher":18,"roles":469,"affiliations":470,"properties":479},"fdf3d39a-7295-4f6d-a568-77940e1b7007",[208],[471],{"id":18,"sortIndex":19,"affiliation":472,"properties":18},{"id":473,"createTime":474,"updateTime":474,"relativeEntities":475,"slug":18,"properties":476,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"50fab69a-d688-4f66-8c09-c3499ed54693","2024-01-05T03:10:37.000+00:00",[],{"title":477},{"VI":478},"UNDP\u002FUNFPA\u002FUNICEF\u002FWHO\u002FWorld Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland",{"title":480},{"VI":481},"A. 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Harrison",{"id":516,"sortIndex":223,"researcher":18,"roles":517,"affiliations":518,"properties":524},"f1adc722-b142-4e7d-baf8-ac053d55578d",[208],[519],{"id":18,"sortIndex":19,"affiliation":520,"properties":18},{"id":473,"createTime":474,"updateTime":474,"relativeEntities":521,"slug":18,"properties":522,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":523},{"VI":478},{"title":525},{"VI":526},"Ana Pilar Betrán",{"id":528,"sortIndex":154,"researcher":18,"roles":529,"affiliations":530,"properties":539},"de3da146-e892-498f-aedb-03ec6a08e209",[208],[531],{"id":18,"sortIndex":19,"affiliation":532,"properties":18},{"id":533,"createTime":534,"updateTime":534,"relativeEntities":535,"slug":18,"properties":536,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"a19e029d-4b40-47c9-9e05-8221a20f9154","2024-01-11T23:34:30.592+00:00",[],{"title":537},{"VI":538},"Department of Biostatistics and Informatics, University of Colorado, Aurora, USA",{"title":540},{"VI":541},"Krithika Suresh",{"id":543,"sortIndex":239,"researcher":18,"roles":544,"affiliations":545,"properties":562},"a0a0a0d3-451e-417e-998c-dbd352e97945",[208],[546,557],{"id":547,"sortIndex":223,"affiliation":548,"properties":556},"65bb1a31-9d05-4138-905d-3ee6d1fb549b",{"id":549,"createTime":550,"updateTime":550,"relativeEntities":551,"slug":552,"properties":553,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"af9a9bb2-3210-4f50-9aea-6b52ef07c40b","2024-04-19T04:02:45.970+00:00",[],"Maternal-Child-and-Adolescent-Health-Program-Burnet-Institute-Melbourne-Australia",{"title":554},{"EN":555},"Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, Australia",{},{"id":18,"sortIndex":19,"affiliation":558,"properties":18},{"id":473,"createTime":474,"updateTime":474,"relativeEntities":559,"slug":18,"properties":560,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":561},{"VI":478},{"title":563},{"VI":564},"Joshua P. 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Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1545–602. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0140-6736(16)31678-6.\nZunszain PA, Anacker C, Cattaneo A, Carvalho LA, Pariante CM. Glucocorticoids, cytokines and brain abnormalities in depression. Prog Neuro-Psychopharmacol Biol Psychiatry. 2010;35:722–9. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.pnpbp.2010.04.011.\nThase ME. Preventing relapse and recurrence of depression: a brief review of therapeutic options. CNS Spectr. 2006;11:12–21. https:\u002F\u002Fdoi.org\u002F10.1017\u002Fs1092852900015212.\nAccortt EE, Cheadle ACD, Schetter CD. Prenatal depression and adverse birth outcomes: an updated systematic review. Matern Child Health J. 2015;19:1306–37. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10995-014-1637-2.\nBennett HA, Einarson A, Taddio A, Koren G, Einarson TR. Prevalence of depression during pregnancy: systematic review. Obstet Gynecol. 2004;103:698–709. https:\u002F\u002Fdoi.org\u002F10.1097\u002F01.AOG.0000116689.75396.5f.\nGaynes BN, Gavin N, Meltzer-Brody S, et al. Perinatal depression: prevalence, screening accuracy, and screening outcomes. Evid Rep Technol Assess (Summ). 2005;119:1–8. https:\u002F\u002Fdoi.org\u002F10.1037\u002Fe439372005-001.\nFairbrother N, Janssen P, Antony MM, Tucker E, Young AH. Perinatal anxiety disorder prevalence and incidence. J Affect Disord. 2016;200:148–55. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jad.2015.12.082.\nKang Y-T, Yao Y, Dou J, Guo X, Li S-Y, Zhao C-N, et al. Prevalence and risk factors of maternal anxiety in late pregnancy in China. Int J Environ Res Public Health. 2016;13(5):468. https:\u002F\u002Fdoi.org\u002F10.3390\u002Fijerph13050468.\nBritton JR. Maternal anxiety: course and antecedents during the early postpartum period. Depress Anxiety. 2008;25:793–800. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fda.20325.\nDennis CL, Falah-Hassani K, Shiri R. Prevalence of antenatal and postnatal anxiety: systematic review and meta-analysis. Br J Psychiatry. 2017;210(5):315–23. https:\u002F\u002Fdoi.org\u002F10.1192\u002Fbjp.bp.116.187179.\nChinchilla-Ochoa D, Peón PB-C, Farfán-Labonne BE, Garza-Morales S, Leff-Gelman P, Flores-Ramos M. Depressive symptoms in pregnant women with high trait and state anxiety during pregnancy and postpartum. Int J Womens Health. 2019;11:257–65. https:\u002F\u002Fdoi.org\u002F10.2147\u002FIJWH.S194021.\nLeff-Gelman P, Mancilla-Herrera I, Flores-Ramos M, Cruz-Fuentes C, Reyes-Grajeda JP, Garcia-Cuetara Mdel P, et al. The immune system and the role of inflammation in perinatal depression. 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J Neurosci Res. 2020;98(7):1309–21. https:\u002F\u002Fdoi.org\u002F10.1002\u002Fjnr.24312.\nMina TH, Denison FC, Forbes S, Stirrat LI, Norman JE, Reynolds RM. Associations of mood symptoms with ante- and postnatal weight change in obese pregnancy are not mediated by cortisol. Psychol Med. 2015;45(15):3133–46. https:\u002F\u002Fdoi.org\u002F10.1017\u002FS0033291715001087.\nStokkeland LMT, Giskeødegård GF, Stridsklev S, Ryan L, Steinkjer B, Tangerås LH, et al. Serum cytokine patterns in first half of pregnancy. Cytokine. 2019;119:188–96. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cyto.2019.03.013.",{"EN":608},"Cytokine levels have been extensively described in pregnant subjects under normal and pathological conditions, including mood-related disorders. Concerning chemokines, very few studies have reported their association with psychiatric disorders during pregnancy. Therefore, we explored the chemokine profile in women exhibiting anxiety and depression during late pregnancy in the present study. One hundred twenty-six pregnant women in the 3rd trimester of pregnancy, displaying moderate to severe anxiety (ANX) alone and women exhibiting moderate to severe anxiety with comorbid depression (ANX + DEP), and 40 control pregnant women without affective disorders (CTRL) were evaluated through the Hamilton Anxiety Rating Scale (HARS) and the Hamilton Depression Rating Scale (HDRS). Serum chemokine levels of MCP-1 (CCL2), RANTES (CCL5), IP-10 (CXCL10), Eotaxin (CCL11), TARC (CCL17), MIP-1α (CCL3), MIP-1β (CCL4), MIG (CXCL9), MIP-3α (CCL20), ENA-78 (CXCL5), GROα (CXCL1), I-TAC (CXCL11) and IL-8 (CXCL8)] were measured by immunoassay. Clinical, biochemical, and sociodemographic parameters were correlated with HARS and HDRS score values. Serum levels of most chemokines were significantly higher in the ANX and in the ANX + DEP groups, when compared to the CTRL group. Positive correlations were observed between MIP-1α\u002FCCL3, MIP-1β\u002FCCL4, MCP-1\u002FCCL2, MIP-3α\u002FCCL20, RANTES\u002FCCL5, Eotaxin\u002FCCL11, and I-TAC\u002FCXCL11 with high scores for anxiety (HARS) (p \u003C 0.05) and for depression (HDRS) (p \u003C 0.004). After controlling clinical measures for age + gwk + BMI, chemokines such as IL-8\u002FCXCL8, MCP-1\u002FCCL2 and MIP-1β\u002FCCL4 were found associated with high scores for anxiety (p \u003C 0.05) in the ANX group. TARC\u002FCCL17 and Eotaxin\u002FCCL11 showed significant associations with high scores for depression (p \u003C 0.04) whereas, MCP-1\u002FCCL2 and MIP-1α\u002FCCL3 were significantly associated with high scores for anxiety (p \u003C 0.05) in the ANX + DEP group. Using a multivariate linear model, high serum levels of MIP-1β\u002FCCL4 and Eotaxin\u002FCCL11 remained associated with depression (p \u003C 0.01), while, IL-8\u002FCXCL8, MIP-1β\u002FCCL4, MCP-1\u002FCCL2, and MIP-1α\u002FCCL3 were associated with anxiety (p \u003C 0.05) in the symptomatic groups. Our data show that serum levels of distinct chemokines are increased in women exhibiting high levels of affective symptoms during late pregnancy. Our results suggest that increased levels of anxiety, depressive symptoms, and mood-related disorders may promote changes in specific functional chemokines associated with a chronic inflammatory process. If not controlled, it may lead to adverse obstetric and negative neonate outcomes, child development and neuropsychiatric alterations in the postnatal life. Chemokine levels increase in affective disorders during pregnancy.",{"EN":610},"Chemokine profile in women with moderate to severe anxiety and depression during pregnancy",{"VOID":612},"10.1186\u002Fs12884-021-04225-2","https:\u002F\u002Fbmcpregnancychildbirth.biomedcentral.com\u002Farticles\u002F10.1186\u002Fs12884-021-04225-2",[615,630,643,668,680,693,705,720,737],{"id":616,"sortIndex":109,"researcher":18,"roles":617,"affiliations":618,"properties":627},"05f1e497-1a2a-4f80-8623-6ce37228f513",[208],[619],{"id":18,"sortIndex":19,"affiliation":620,"properties":18},{"id":621,"createTime":622,"updateTime":622,"relativeEntities":623,"slug":18,"properties":624,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"4b5f2eaa-844f-43eb-a693-f8c440a1d074","2024-02-06T23:59:18.139+00:00",[],{"title":625},{"VI":626},"Departamento de Neurociencias, Instituto Nacional de Perinatología, Mexico City, 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D, Overton C, Bender-Atik R. Diagnosis and management of first trimester miscarriage. BMJ. 2013;346:f3676.\nAsiki G, Baisley K, Newton R, Marions L, Seeley J, Kamali A, Smedman L. Adverse pregnancy outcomes in rural Uganda (1996–2013): trends and associated factors from serial cross-sectional surveys. BMC Pregnancy Childbirth. 2015;15(1):279.\nRigterink ES, Saftlas AF, Atrash HK Induced Abortion. In Women and Health. 2013; 235–250. Academic Press.\nGanatra B, Tuncalp O, Johnston HB, Johnson BR Jr, Gulmezoglu AM, Temmerman M. From concept to measurement: operationalizing WHO’s definition of unsafe abortion. Bull World Health Organ. 2014;92:155. doi:https:\u002F\u002Fdoi.org\u002F10.2471\u002FBLT.14.136333.\nWHO.2020.https:\u002F\u002Fwww.who.int\u002Fmaternal_child_adolescent\u002Fepidemiology\u002Fstillbirth\u002Fen\u002F.\nKebede AS, Muche AA, Alene AG. Factors associated with adverse pregnancy outcome in Debre Tabor town, Northwest Ethiopia: a case control study. BMC Research Notes. 2018;11(1):820.\nScott J. Stillbirths: breaking the silence of a hidden grief. The Lancet. 2011;23(9775):1386–8. 377(.\nFrederiksen LE, Ernst A, Brix N, Lauridsen LL, Roos L, Ramlau-Hansen CH, Ekelund CK. Risk of adverse pregnancy outcomes at advanced maternal age. Obstetrics Gynecology. 2018;131(3):457–63.\nPatki A, Chauhan N. An epidemiology study to determine the prevalence and risk factors associated with recurrent spontaneous miscarriage in India. The Journal of Obstetrics Gynecology of India. 2016;66(5):310–5.\nYeshialem E, Abera M, Tesfay A. Determinants of Adverse Pregnancy Outcomes among Mothers Who Gave Birth from Jan 1-Dec 31\u002F2015 in Jimma University Specialized Hospital, Case Control Study, 2016. Ethiopian Journal of Reproductive Health. 2019 Jan 21;11(1):10–19.\nWelegebriel TK, Dadi TL, Mihrete KM. Determinants of stillbirth in Bonga General and Mizan Tepi University Teaching Hospitals southwestern Ethiopia, 2016: a case–control study. BMC Res Notes. 2017 Dec;10(1):713.\nGhana Statistical Service (GSS). Ghana Health Service (GHS), and Macro International. (2009). Ghana Maternal Health Survey 2007. Calverton, Maryland, USA: GSS, GHS, and Macro International.\nGhana Statistical Service (GSS), Ghana Health Service (GHS), and Macro International. (2018). Ghana Maternal Health Survey 2017. Calverton, Maryland, USA: GSS, GHS, and Macro International.\nAngell JN, Abdul-Mumin AR, Gold KJ. Determining the cause of stillbirth in Kumasi, Ghana. International Journal of Gynecology Obstetrics. 2019 Nov;147(2):173–8.\nMoyer CA, McLaren ZM, Adanu RM, Lantz PM. Understanding the relationship between access to care and facility-based delivery through analysis of the 2008 Ghana Demographic Health Survey. International Journal of Gynecology Obstetrics. 2013;122(3):224–9.\nAppiah PC, Arhin-Wiredu K, Adjei MR, Noora CL, Baafi JV, Letsa TS, Yawson AE. (2019). Stillbirths in Primary Level Hospitals in Sunyani, Ghana: A Retrospective Data Analysis. Asian Journal of Pregnancy and Childbirth, 1–8.\nBadimsuguru AB, Nyarko KM, Afari EA, Sackey SO, Kubio C. Determinants of stillbirths in Northern Ghana: a case control study. The Pan African Medical Journal. 2016;25(Suppl 1).\nAfulani PA. Determinants of stillbirths in Ghana: does quality of antenatal care matter? BMC pregnancy and childbirth. 2016 Dec;16(1):132.\nRominski SD, Lori JR. Abortion care in Ghana: a critical review of the literature. Afr J Reprod Health. 2014;18(3):17–35.\nAppiah-Agyekum NN, Sorkpor C, Ofori-Mensah S. Determinants of abortion decisions among Ghanaian university students. International journal of adolescent medicine and health. 2015 Feb 1;27(1):79–84.\nDickson KS, Adde KS, Ahinkorah BO. Socio–economic determinants of abortion among women in Mozambique and Ghana: evidence from demographic and health survey. Archives of Public Health. 2018 Dec;76(1):37.\nBoah M, Bordotsiah S, Kuurdong S. Predictors of Unsafe Induced Abortion among Women in Ghana. Journal of pregnancy. 2019;2019.\nRutstein SO, Rojas G. Guide to DHS statistics. Calverton: ORC Macro; 2006. Sep;38.\nKramer MS. The epidemiology of adverse pregnancy outcomes: an overview. The Journal of nutrition. 2003 May 1;133(5):1592S-6S.\nAthukorala C, Rumbold AR, Willson KJ, Crowther CA. The risk of adverse pregnancy outcomes in women who are overweight or obese. BMC Pregnancy Childbirth. 2010 Dec;10(1):56.\nPadhi BK, Baker KK, Dutta A, Cumming O, Freeman MC, Satpathy R, Das BS, Panigrahi P. Risk of adverse pregnancy outcomes among women practicing poor sanitation in rural India: a population-based prospective cohort study. PLoS medicine. 2015 Jul 7;12(7):e1001851.\nSeidu AA, Ahinkorah BO, Agbemavi W, Amu H, Bonsu F. Reproductive health decision-making capacity and pregnancy termination among Ghanaian women: Analysis of the 2014 Ghana demographic and health survey. Journal of Public Health. 2019 Jun 25:1–0.\nUnited Nations Children’s. Fund, Ending child marriage: Progress and prosects, UNICEF, New York, 2014.\nMinistry of Gender, Children and Social Protection. (2019). National Stakeholders’ Meeting on ending Child Marriage in Ghana. Retrieved from https:\u002F\u002Fwww.mogcsp.gov.gh\u002Fnational-stakeholders-meeting-on-ending-child-marriage-in-ghana\u002F on October 15, 2020.\nNaidoo S, London L, Burdorf A, Naidoo R, Kromhout H. Spontaneous miscarriages and infant deaths among female farmers in rural South Africa. Scand J Work Environ Health. 2011 May;1:227–36.\nTayie FA, Lartey A. Antenatal care and pregnancy outcome in Ghana, the importance of women\\‘s education. Afr J Food Agric Nutr Dev. 2008;8(3):291–303.\nBrinton MC, Oh E. Babies, work, or both? Highly educated women’s employment and fertility in East Asia. Am J Sociol. 2019 Jul;125(1)(1):105–40.\nQu F, Wu Y, Zhu YH, Barry J, Ding T, Baio G, Muscat R, Todd BK, Wang FF, Hardiman PJ. The association between psychological stress and miscarriage: A systematic review and meta-analysis. Sci Rep. 2017 May 11;7(1):1731. doi: https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-017-01792-3. PMID: 28496110; PMCID: PMC5431920.\nLi W, Newell-Price J, Jones GL, Ledger WL, Li TC. Relationship between psychological stress and recurrent miscarriage. Reproductive biomedicine online. 2012 Aug 1;25(2):180-9.\nKicia M, Skurzak A, Wiktor K, Iwanowicz-Palus G, Wiktor H. Anxiety and stress in miscarriage. Polish Journal of Public Health. 2015 Sep 1;125(3):162-5.\nShaimaa MH, Shukriya SCA. Risk Factors Associated with Spontaneous Abortion at Al-Najaf City. Int J Sci Res Publ,2017; 7(8).\nBalayla J, Azoulay L, Abenhaim HA. Maternal marital status and the risk of stillbirth and infant death: a population-based cohort study on 40 million births in the United States. Women’s Health Issues. 2011 Sep 1;21(5):361-5.\nTsanova DK, Vekov TY. Regional variations in stillbirth and relation between extramarital birth and stillbirth in Bulgaria. Journal of Biomedical and Clinical Research. 2018 Jul 1;11(1):30 – 5.\nYeshialem E, Abera M, Tesfay A. Determinants of Adverse Pregnancy Outcomes among Mothers Who Gave Birth from Jan 1-Dec 31\u002F2015 in Jimma University Specialized Hospital, Case Control Study, 2016. 2016. Ethiopian Journal of Reproductive Health. 2019 Jan 21;11(1):10-.\nAliyu MH, Salihu HM, Keith LG, Ehiri JE, Islam MA, Jolly PE. Extreme parity and the risk of stillbirth. Obstetrics & Gynecology. 2005 Sep 1;106(3):446 – 53.\nKozuki N, Lee AC, Silveira MF, Sania A, Vogel JP, Adair L, Barros F, Caulfield LE, Christian P, Fawzi W, Humphrey J. The associations of parity and maternal age with small-for-gestational-age, preterm, and neonatal and infant mortality: a meta-analysis. BMC public health. 2013 Sep 1;13(S3):S2.\nGardosi J, Madurasinghe V, Williams M, Malik A, Francis A. Maternal and fetal risk factors for stillbirth: population based study. Bmj. 2013 Jan 24;346.\nSwaminathan A, Fell DB, Regan A, Walker M, Corsi DJ. Association between interpregnancy interval and subsequent stillbirth in 58 low-income and middle-income countries: a retrospective analysis using Demographic and Health Surveys. The Lancet Global Health. 2020;8(1):e113-22.",{"EN":802},"Inasmuch as induced abortions, miscarriages and stillbirths constitute common adverse pregnancy outcomes contributing to poor maternal health, there is paucity of literature about these in Ghana. We investigated the factors associated with induced abortions, miscarriages and stillbirths in Ghana. Data derived from the 2017 Ghana Maternal Health Survey was used in this study. Women aged 15–49 constituted the target for the study. This study examined the relationship between socio-demographic characteristics and induced abortions, stillbirths and miscarriages. Subsequently, multivariable binary logistic regression models were fitted to investigate the factors associated with induced abortions, stillbirths and miscarriages at 95 % confidence interval (CI). The prevalence of miscarriages, induced abortions and stillbirths in Ghana in 2017 were 10.8 %, 10.4 % and 2 % respectively. Induced abortions (12.9 %) and miscarriages (11.1 %) were found to be higher among urban residents whiles rural residents had more of stillbirths (2.1 %). Compared to women aged 15–24, those in all age categories had lower odds of experiencing induced abortions, with the lowest odds occurring among women aged 35–49 (AOR = 0.26, 95 % CI = 0.21-32). Conversely, women of all age categories had higher odds of experiencing miscarriages compared to those aged 15–24 with the highest odds among those aged 25–34 (AOR = 1.62, 95 % CI = 1.39–1.89). Women with at least primary education were more likely to experience miscarriages than those with no formal education, with those with higher level of education having the highest odds (AOR = 1.42, 95 % CI = 1.13–1.78). While the likelihood of induced abortions was lower among Muslims, compared to Christians (AOR = 0.65, 95 % CI = 0.52–0.82), the odds of miscarriages were higher among Muslims, compared to Christians (AOR = 1.31, 95 % CI = 1.13–1.52). Women with parity 1 or more were less likely to experience induced abortions, miscarriages and stillbirths compared to those with parity 0. Our study indicates that efforts to limit induced abortions, miscarriages and stillbirths in Ghana need to focus on the disparities in socio-demographic characteristics of women. Synergy between government health institutions and the private sector cannot be left out if much success can be achieved in efforts to subside the current prevalence of induced abortions, stillbirths and miscarriages confronting the country.",{"EN":804},"Beyond counting induced abortions, miscarriages and stillbirths to understanding their risk factors: analysis of the 2017 Ghana maternal health 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National de la Statistique et de la Démographie (INSD), ORC Macro. 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Available from: http:\u002F\u002Fwww.insd.bf\u002Fn\u002Fcontenu\u002Fpub_periodiques\u002Fannuaires_stat\u002FAnnuaires_stat_nationaux_BF\u002FAnnuaire_stat_2013.pdf. Accessed 8 Sept 2015.\nKouanda S, Coulibaly A, Ouedraogo A, Millogo T, Meda BI, Dumont A. Audit of cesarean delivery in Burkina Faso. Int J Gynaecol Obstet. 2014;125(3):214–8.\nOuedraogo C, Zoungrana T, Dao B, Dujardin B, Ouedraogo A, Thieba B, et al. La césarienne de qualité au Centre Hospitalier Yalgado Ouedragogo de Ouagadougou. Analyse des déterminants à propos de 478 cas colligés dans le service de gynécologie obstétrique. Médecine Afr Noire. 2001;48(11):443–51. Available from: http:\u002F\u002Fcat.inist.fr\u002F?aModele=afficheN&cpsidt=13379807.\nMaaløe N, Sorensen BL, Onesmo R, Secher NJ, Bygbjerg IC. Prolonged labour as indication for emergency caesarean section: a quality assurance analysis by criterion-based audit at two Tanzanian rural hospitals. 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Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fbooks\u002FNBK114747\u002F. Accessed 8 Sept 2015.\nChaillet N, Dumont A, Abrahamowicz M, Pasquier J-C, Audibert F, Monnier P, et al. A cluster-randomized trial to reduce cesarean delivery rates in Quebec. N Engl J Med. 2015;372(18):1710–21.\nChaillet N, Dumont A. Evidence-based strategies for reducing cesarean section rates: a meta-analysis. Birth. 2007;34(1):53–64.\nRowe AK, De Savigny D, Lanata CF, Victora CG. How can we achieve and maintain high-quality performance of health workers in low-resource settings? Lancet. 2005;366(9490):1026–35.\nCole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32(1):56–69.\nFjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009;36(2):165–73.\nKrishna S, Boren SA, Balas EA. Healthcare via cell phones: a systematic review. Telemed J E Health. 2009;15(3):231–40.\nCallan P, Miller R, Sithole R, Daggett M, Altman D, O’Byrne D. Harnessing the mobile revolution to bridge the health education and training gap in developing countries. iHeed Institute. 2011. Available from: http:\u002F\u002Fmhealthknowledge.org\u002Fresources\u002Fmhealth-education. Accessed 8 Sept 2015.\nJones COH, Wasunna B, Sudoi R, Githinji S, Snow RW, Zurovac D. “Even if you know everything you can forget”: health worker perceptions of mobile phone text-messaging to improve malaria case-management in Kenya. PLoS One. 2012;7(6):e38636.\nZurovac D, Sudoi RK, Akhwale WS, Ndiritu M, Hamer DH, Rowe AK, et al. The effect of mobile phone text-message reminders on Kenyan health workers’ adherence to malaria treatment guidelines: a cluster randomised trial. Lancet. 2011;378(9793):795–803.\nBlack RS, Brocklehurst P. A systematic review of training in acute obstetric emergencies. BJOG. 2003;110(9):837–41.\nDumont A, Chergui M, Gaye A, Landry A, Tourigny C, Fournier P. Identifying barriers and facilitators towards implementing facility-based maternal death reviews in Senegal, The International Women’s Health Program of the SOGC: Special Report. 2008. p. 22–7.\nGrant A, Treweek S, Dreischulte T, Foy R, Guthrie B. Process evaluations for cluster-randomised trials of complex interventions: a proposed framework for design and reporting. Trials. 2013;14:15.\nMoore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258.\nHawe P, Shiell A, Riley T, Gold L. Methods for exploring implementation variation and local context within a cluster randomised community intervention trial. J Epidemiol Community Health. 2004;58(9):788–93.\nHawe P, Di Ruggiero E, Cohen E. Frequently asked questions about population health intervention research. 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Avoiding type III error in program evaluation: results from a field experiment. Eval Program Plann. 1980;3:269–76.\nCambon L, Minary L, Ridde V, Alla F. A tool to analyze the transferability of health promotion interventions. BMC Public Health. 2013;13:1184.\nRongère J, Domecq S, Djihoud A, Pourin C. Accouchements par césarienne programmée à terme avant début de travail. Revue de pertinence. Bordeaux: CCECQA; 2013.\nACOG Practice Bulletin no. 115: Vaginal birth after previous cesarean delivery. Obstet Gynecol. 2010;116(2 Pt 1):450–63.\nAlauddin M, Bal R, Kundu MK, Dey S, Biswas A. Current trends in delivery of eclampsia patients. J Indian Med Assoc. 2009;107(10):672–4.\nCollège National des Gynécologues et Obstétriciens Français (CNGOF). Recommandations pour la pratique clinique. Accouchement en cas d’utérus cicatriciel. 36èmes Journées Nationales. Paris; 2012.\nCollège National des Gynécologues et Obstétriciens Français (CNGOF). Item 17, item 218: Principales complications de la grossesse – Pré-éclampsie et syndrome pré-éclamptique. Université Médicale Virtuelle Francophone; 2010. Available from: http:\u002F\u002Fcampus.cerimes.fr\u002Fgynecologie-et-obstetrique\u002Fenseignement\u002Fitem17_5\u002Fsite\u002Fhtml\u002F. Accessed 8 Sept 2015.\nElkousy MA, Sammel M, Stevens E, Peipert JF, Macones G. The effect of birth weight on vaginal birth after cesarean delivery success rates. Am J Obstet Gynecol. 2003;188(3):824–30.\nEsposito MA, Menihan CA, Malee MP. Association of interpregnancy interval with uterine scar failure in labor: a case-control study. Am J Obstet Gynecol. 2000;183(5):1180–3.\nRooth G, Huch A, Huch R. Guidelines for the use of fetal monitoring. Int J Gynecol Obstet. 1987;25:159–67.\nFraser WD, Turcot L, Krauss I, Brisson-Carrol G. WITHDRAWN: Amniotomy for shortening spontaneous labour. Cochrane Database Syst Rev. 2006;(3):CD000015. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F17636574. Accessed 8 Sept 2015.\nHannah ME, Hannah WJ, Hewson SA, Hodnett ED, Saigal S, Willan AR. Term Breech Trial Collaborative Group. Planned caesarean section versus planned vaginal birth for breech presentation at term: a randomised multicentre trial. Lancet. 2000;356(9239):1375–83.\nHofmeyr GJ, Hannah ME. Planned caesarean section for term breech delivery. Cochrane Database Syst Rev. 2000;(2):CD000166. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F10796165. Accessed 8 Sept 2015.\nJohanson R, Menon V. WITHDRAWN: Vacuum extraction versus forceps for assisted vaginal delivery. Cochrane Database Syst Rev. 2010;(11):CD000224. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F21069665. Accessed 8 Sept 2015.\nListon R, Sawchuck D, Young D. Fetal health surveillance: antepartum and intrapartum consensus guideline. J Obstet Gynaecol Can. 2007;29(9 Suppl 4):S3–56.\nMarpeau L. Traité d’obstétrique. Paris: Elsevier Masson; 2010.\nMartel MJ, MacKinnon CJ, et al. Guidelines for vaginal birth after previous caesarean birth [Internet]. February 2005, pp. 164–74. Report No. 155. Available from: http:\u002F\u002Fsogc.org\u002Fwp-content\u002Fuploads\u002F2013\u002F01\u002F155E-CPG-February2005.pdf. Accessed 8 Sept 2015.\nMashiloane CD, Moodley J. Induction or caesarean section for preterm pre-eclampsia? J Obstet Gynaecol. 2002;22(4):353–6.\nRouse DJ, Owen J, Savage KG, Hauth JC. Active phase labor arrest: revisiting the 2-hour minimum. Obstet Gynecol. 2001;98(4):550–4.\nRoyal College of Obstetricians & Gynaecologists. Operative vaginal delivery (Green-top guideline No. 26). London: RCOG; 2012. Available from: https:\u002F\u002Fwww.rcog.org.uk\u002Fen\u002Fguidelines-research-services\u002Fguidelines\u002Fgtg26\u002F. Accessed 8 Sept 2015.\nThomas J, Callwood A, Paranjothy S. National Sentinel Caesarean Section Audit: update. Pract Midwife. 2000;3(11):20.\nVayssière C, Beucher G, Dupuis O, Feraud O, Simon-Toulza C, Sentilhes L, et al. Instrumental delivery: clinical practice guidelines from the French College of Gynaecologists and Obstetricians. Eur J Obstet Gynecol Reprod Biol. 2011;159(1):43–8.\nCargill YM, MacKinnon CJ, Arsenault M-Y, Bartellas E, Daniels S, Gleason T, et al. Guidelines for operative vaginal birth. J Obstet Gynaecol Can. 2004;26(8):747–61.\nMultidisciplinary management of severe pre-eclampsia (PE). Ann Fr Anesth Reanim. 2009;28(3):275–81.\nSOGC clinical practice guidelines. Guidelines for vaginal birth after previous caesarean birth. Number 155 (Replaces guideline Number 147), February 2005. Int J Gynaecol Obstet. 2005;89(3):319–31.\nHill JB, Ammons A, Chauhan SP. Vaginal birth after cesarean delivery: comparison of ACOG practice bulletin with other national guidelines. Clin Obstet Gynecol. 2012;55(4):969–77.\nDumont A, Fournier P, Abrahamowicz M, Traoré M, Haddad S, Fraser WD, et al. Quality of care, risk management, and technology in obstetrics to reduce hospital-based maternal mortality in Senegal and Mali (QUARITE): a cluster-randomised trial. Lancet. 2013;382:146–57.\nOkong P, Byamugisha J, Mirembe F, Byaruhanga R, Bergstrom S. Audit of severe maternal morbidity in Uganda--implications for quality of obstetric care. Acta Obstet Gynecol Scand. 2006;85(7):797–804.\nVillar J, Valladares E, Wojdyla D, Zavaleta N, Carroli G, Velazco A, et al. Caesarean delivery rates and pregnancy outcomes: the 2005 WHO Global Survey on Maternal and Perinatal Health in Latin America. Lancet. 2006;367(9525):1819–29.\nGibbons L, Belizan JM, Lauer JA, Betran AP, Merialdi M, Althabe F. Inequities in the use of cesarean section deliveries in the world. Am J Obstet Gynecol. 2012;206(4):331.e1–19.\nSouza JP, Gülmezoglu A, Lumbiganon P, Laopaiboon M, Carroli G, Fawole B, et al. Caesarean section without medical indications is associated with an increased risk of adverse short-term maternal outcomes: the 2004–2008 WHO Global Survey on Maternal and Perinatal Health. BMC Med. 2010;8:71.\nCampbell MK, Piaggio G, Elbourne DR, Altman DG, CONSORT Group. Consort 2010 statement: extension to cluster randomised trials. BMJ. 2012;345:e5661.\nMedical Research Council. Cluster randomised trials: methodological and ethical considerations. London, UK: MRC; 2002.\nDonner A, Klar N. Design and analysis of cluster randomization trials in health research. New York: Oxford University Press; 2000.\nZeger SL, Liang KY, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988;44(4):1049–60.\nPatton MQ. Qualitative research and evaluation methods. 3rd ed. Thousand Oaks: Sage Publications; 2002.",{"EN":951},"Since 2006, Burkina Faso has subsidized the cost of caesarean sections to increase their accessibility. Caesareans are performed by obstetricians, general practitioners, and nurses trained in emergency surgery. While the national caesarean rate is still too low (only 2 % in 2010), 12 to 24 % of caesareans performed in hospital are, in fact, not medically indicated. The objective of this study is to evaluate the effectiveness and analyze the implementation of a multi-faceted intervention to lower the rate of non-medically indicated caesareans in Burkina Faso. This study combines a multicentre cluster randomized controlled trial with an implementation analysis in a mixed-methods approach. The evidence-based intervention will consist of three strategies to improve the competencies of maternity teams: 1) clinical audits based on objective criteria; 2) training of personnel; and 3) decision-support reminders of indications for caesareans via text messages. The unit of randomization and of intervention is the public hospital equipped with a functional operating room. Using stratified randomization on hospital type and staff qualifications, 11 hospitals have been assigned to the intervention group and 11 to the control group. The intervention will cover 1 year. Every patient who delivered by caesarean during a 6-month period in the year preceding the intervention and the 6 months following its end will be included in the trial. The change in the rate of non-medically indicated caesareans is the main criterion by which the intervention’s impact will be assessed. To analyze the intervention process, a longitudinal qualitative study consisting of deliberative workshops and individual in-depth interviews will be conducted. The target outcome is a 50 % reduction in the rate of non-medically indicated caesareans. This study will provide evidence regarding the effectiveness of a multi-faceted intervention for reducing non-medically indicated caesareans in a low-income country. By combining qualitative and quantitative methods, the study’s findings will allow understanding the factors that could influence the intervention process and ultimately the intended outcomes. The DECIDE trial is registered on the Current Controlled Trials website under the number \n                    ISRCTN48510263\n                    \n                   on January 28, 2014.",{"EN":953},"DECIDE: a cluster randomized controlled trial to reduce non-medically indicated caesareans in Burkina 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Somé",{"id":974,"sortIndex":154,"researcher":18,"roles":975,"affiliations":976,"properties":985},"79ef3b81-a058-4758-8d7d-062ab34e3527",[208],[977],{"id":18,"sortIndex":19,"affiliation":978,"properties":18},{"id":979,"createTime":980,"updateTime":980,"relativeEntities":981,"slug":18,"properties":982,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"9ff82842-1f85-44db-9e86-552c520643cc","2023-11-30T05:57:01.699+00:00",[],{"title":983},{"VI":984},"Institut de recherche en science de la santé (IRSS), Ouagadougou, Burkina Faso",{"title":986},{"VI":987},"Séni 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Intimate partner violence and psychosocial health, a cross-sectional study in a pregnant population. BMC Pregnancy Childbirth. 2015;15. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12884-015-0710-1.\nWani AL, Bhat SA, Ara A. Omega-3 fatty acids and the treatment of depression: a review of scientific evidence. Integr Med Res. 2015;4:132–41. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.imr.2015.07.003.\nFontein-Kuipers Y, van Limbeek E, Ausems M, de Vries R, Nieuwenhuijze M. Responding to maternal distress: from needs assessment to effective intervention. Int J Public Health. 2016. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00038-016-0910-0.\nSparling TM, Henschke N, Nesbitt RC, Gabrysch S. The role of diet and nutritional supplementation in perinatal depression: a systematic review: review of dietary intake and perinatal depression. Matern Child Nutr. 2017;13. https:\u002F\u002Fdoi.org\u002F10.1111\u002Fmcn.12235.\nSemahegn A, Mengistie B. 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PLoS Curr. 2013. https:\u002F\u002Fdoi.org\u002F10.1371\u002Fcurrents.dis.54a8b618c1bc031ea140e3f2934599c8.\nNestel P. Adjusting Hemoglobin Values in Program Surveys. 2002. https:\u002F\u002Fdokumen.tips\u002Fdocuments\u002Fadjusting-hemoglobin-values-in-program-hemoglobin-values-in-programsurveys-.html.\nCoates J, Swindale A, Bilinsky P. Household food insecurity access scale (HFIAS) for measurement of food access: Indicator guide. Washington, D.C.; 2007. http:\u002F\u002Fwww.fao.org\u002Ffileadmin\u002Fuser_upload\u002Feufao-fsi4dm\u002Fdoc-training\u002Fhfias.pdf.\nDeshpande NA, Lewis-O’Connor A. Screening for intimate partner violence during pregnancy. Rev Obstet Gynecol. 2013;6:141–8.\nMercer RT, Ferketich SL. Stress and social support as predictors of anxiety and depression during pregnancy. ANS Adv Nurs Sci. 1988;10:26–39.\nWHO. Mental Health Atlas 2011-Ethiopia. 2011.\nSchumacher JA, Feldbau-Kohn S, Smith Slep AM, Heyman RE. Risk factors for male-to-female partner physical abuse. Aggress Violent Behav. 2001;6:281–352. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS1359-1789(00)00027-6.\nStith SM, Smith DB, Penn CE, Ward DB, Tritt D. Intimate partner physical abuse perpetration and victimization risk factors: a meta-analytic review. Aggress Violent Behav. 2004;10:65–98. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.avb.2003.09.001.\nCoyne JC, Thompson R, Palmer SC. Marital quality, coping with conflict, marital complaints, and affection in couples with a depressed wife. J Fam Psychol. 2002;16:26–37.\nDu Rocher Schudlich TD, Papp LM, Cummings EM. Relations of husbands’ and wives’ dysphoria to marital conflict resolution strategies. J Fam Psychol. 2004;18:171–83. https:\u002F\u002Fdoi.org\u002F10.1037\u002F0893-3200.18.1.171.\nHernandez DC, Marshall A, Mineo C. Maternal depression mediates the association between intimate partner violence and food insecurity. 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JAMA. 1999;282:1737–44.\nNational Collaborating Centre for Mental Health. The treatment and management of depression in adults (Updated edition) National Clinical Practice Guideline 90. London: The British Psychological Society and The Royal College of Psychiatrists; 2010.\nBromet E, Andrade LH, Hwang I, Sampson NA, Alonso J, de Girolamo G, et al. Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 2011;9. https:\u002F\u002Fdoi.org\u002F10.1186\u002F1741-7015-9-90.\nPatel V, Araya R, de Lima M, Ludermir A, Todd C. Women, poverty and common mental disorders in four restructuring societies. Soc Sci Med. 1999;49:1461–71. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0277-9536(99)00208-7.\nHavenaar JM, Geerlings MI, Vivian L, Collinson M, Robertson B. Common mental health problems in historically disadvantaged urban and rural communities in South Africa: prevalence and risk factors. Soc Psychiatry Psychiatr Epidemiol. 2008;43:209–15. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00127-007-0294-9.\nGureje O. Lifetime and 12-month prevalence of mental disorders in the Nigerian survey of mental health and well-being. Br J Psychiatry. 2006;188:465–71. https:\u002F\u002Fdoi.org\u002F10.1192\u002Fbjp.188.5.465.\nWorld Health Organization. World Health Organization. Putting women first: Ethical and safety recommendations for research on domestic violence against women. Geneva. 2001. http:\u002F\u002Fwww.who.int\u002Fgender\u002Fviolence\u002Fwomenfirtseng.pdf. Accessed 1 Feb 2017.\nWorld Medical Association Declaration of Helsinki: Ethical Principles for Medical Research Involving Human Subjects. JAMA. 2013;310:2191. https:\u002F\u002Fdoi.org\u002F10.1001\u002Fjama.2013.281053.",{"EN":1106},"Depression during pregnancy has far-reaching adverse consequences on mothers, children and the whole family. The magnitude and determinants of prenatal depressive symptoms in low-resource countries are not well established. This study aims to describe the prevalence of prenatal depressive symptoms and whether it is associated with maternal nutrition, intimate partner violence and social support among pregnant women in rural Ethiopia. This study is based on the baseline data from a large prospective, community-based, birth cohort study conducted in the South Western part of Ethiopia from March 2014 to March 2016. A total of 4680 pregnant women were recruited between 12 and 32 weeks of gestation. Depressed mood was assessed using the Patient Health Questionnaire (PHQ-9) scale and a cut off of ≥8 was taken to define prenatal depressive symptoms. Data collection was conducted electronically on handheld tablets and submitted to a secured server via an internet connection. Bivariate and multivariate logistic regression analyses were computed using IBM SPSS version 20 software. The community based prevalence of depressive symptoms during pregnancy was 10.8% (95%Confidence Interval (CI): 9.92–11.70). Adjusting for confounding variables, moderate household food insecurity (OR 1.74; 95% CI: 1.31–2.32), severe household food insecurity (OR 7.90; 95% CI: 5.87–10.62), anaemia (OR = 1.30; 95% CI: 1.04–1.61) and intimate partner violence (OR 3.08; 95% CI: 2.23–4.25) were significantly associated with prenatal depressive symptoms. On the other hand, good social support from friends, families and husband reduced the risk of prenatal depressive symptoms by 39% (OR 0.61; 95% CI: 0.50–0.76). Prenatal depressive symptomatology is rather common during pregnancy in rural Ethiopia. In this community based study, household food insecurity, anaemia and intimate partner violence were significantly associated with prenatal depressive symptoms. Good maternal social support from friends, families and spouse was rather protective. 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Soc Sci Med. 2001, 53: 721-732. 10.1016\u002FS0277-9536(00)00382-8.",{"doi":1458},"10.1016\u002FS0277-9536(00)00382-8",{"id":18,"text":1460,"url":18,"identifiers":1461},"Fullwood C, Kennedy A, Rogers A, Eden M, Gardner C, Protheroe J, Reeves D: Patients’ experiences of shared decision making in primary care practices in the United Kingdom. Med Decis Mak. 2013, 33: 26-36. 10.1177\u002F0272989X12464825.",{"doi":1462},"10.1177\u002F0272989X12464825",{"id":18,"text":1464,"url":18,"identifiers":1465},"Queensland Health: Perinatal Statistics Queensland 2010. 2012, Brisbane, Australia: Queensland Health",{},{"id":18,"text":1467,"url":18,"identifiers":1468},"Zikmund-Fisher BJ, Couper MP, Singer E, Ubel PA, Ziniel S, Fowler FJ, Levin CA, Fagerlin A: Deficits and variations in patients’ experience with making 9 common medical decisions: the DECISIONS survey. Med Decis Mak. 2010, 30 (5 Suppl): 85S-95S. 10.1177\u002F0272989X10380466.",{"doi":1469},"10.1177\u002F0272989X10380466",{"id":18,"text":1471,"url":18,"identifiers":1472},"Vlemmix F, Warendorf JK, Rosman AN, Kok M, Mol BWJ, Morris JM, Nassar N: Decision aids to improve informed decision-making in pregnancy care: a systematic review. BJOG. 2013, 120: 257-266. 10.1111\u002F1471-0528.12060.",{"doi":1473},"10.1111\u002F1471-0528.12060",{"id":18,"text":1475,"url":18,"identifiers":1476},"Coulter A: Shared decision-making: the debate continues [editorial]. Heal Expect. 2005, 8: 95-96. 10.1111\u002Fj.1369-7625.2005.00330.x.",{"doi":1477},"10.1111\u002Fj.1369-7625.2005.00330.x",{"id":18,"text":1479,"url":18,"identifiers":1480},"Pass M, Belkora J, Moore D, Volz S, Sepucha K: Patient and observer ratings of physician shared decision making behaviors in breast cancer consultations. Patient Educ Couns. 2012, 88: 93-99. 10.1016\u002Fj.pec.2012.01.008.",{"doi":1481},"10.1016\u002Fj.pec.2012.01.008",{"id":18,"text":1483,"url":18,"identifiers":1484},"Wunderlich T, Cooper G, Divine G, Flocke S, Oja-Tebbe N, Stange K, Elston Lafata J: Inconsistencies in patient perceptions and observer ratings of shared decision making: the case of colorectal cancer screening. Patient Educ Couns. 2010, 80: 358-363. 10.1016\u002Fj.pec.2010.06.034.",{"doi":1485},"10.1016\u002Fj.pec.2010.06.034",{"id":18,"text":1487,"url":18,"identifiers":1488},"Kasper J, Heesen C, Köpke S, Fulcher G, Geiger F: Patients’ and observers’ perceptions of involvement differ. Validation study on inter-relating measures for shared decision making. PLoS One. 2011, 6: e26255-10.1371\u002Fjournal.pone.0026255.",{"doi":1489},"10.1371\u002Fjournal.pone.0026255",{"id":18,"text":1491,"url":18,"identifiers":1492},"Laslett AM, Brown S, Lumley J: Women’s views of different models of antenatal care in Victoria, Australia. Birth. 1997, 24: 81-89. 10.1111\u002Fj.1523-536X.1997.00081.pp.x.",{"doi":1493},"10.1111\u002Fj.1523-536X.1997.00081.pp.x",{"id":18,"text":1495,"url":18,"identifiers":1496},"Brown SJ, Davey M-A, Bruinsma FJ: Women’s views and experiences of postnatal hospital care in the Victorian Survey of Recent Mothers 2000. Midwifery. 2005, 21: 109-126. 10.1016\u002Fj.midw.2004.09.006.",{"doi":1497},"10.1016\u002Fj.midw.2004.09.006",{"id":18,"text":1499,"url":18,"identifiers":1500},"Van Teijlingen ER, Hundley V, Rennie A-M, Graham W, Fitzmaurice A: Maternity satisfaction studies and their limitations: “what is, must still be best.”. Birth. 2003, 30: 75-82. 10.1046\u002Fj.1523-536X.2003.00224.x.",{"doi":1501},"10.1046\u002Fj.1523-536X.2003.00224.x",{"id":18,"text":1503,"url":18,"identifiers":1504},"Kaplan SH, Gandek B, Greenfield S, Rogers W, Ware JE: Patient and visit characteristics related to physicians’ participatory decision-making style: results from the medical outcomes study. Med Care. 1995, 33: 1176-1187. 10.1097\u002F00005650-199512000-00002.",{"doi":1505},"10.1097\u002F00005650-199512000-00002",{"id":18,"text":1507,"url":18,"identifiers":1508},"Frongillo M, Feibelmann S, Belkora J, Lee C, Sepucha K: Is there shared decision making when the provider makes a recommendation?. Patient Educ Couns. 2013, 90: 69-73. 10.1016\u002Fj.pec.2012.08.016.",{"doi":1509},"10.1016\u002Fj.pec.2012.08.016",{"id":18,"text":1511,"url":18,"identifiers":1512},"Gartland D, Lansakara N, Flood M, Brown SJ: Assessing obstetric risk factors for maternal morbidity: congruity between medical records and mothers’ reports of obstetric exposures. Am J Obstet Gynecol. 2012, 206: 152.e1-10.",{"doi":1513},"10.1016\u002Fj.ajog.2011.10.863",{"id":18,"text":1515,"url":18,"identifiers":1516},"Rice F, Lewis A, Harold G, van den Bree M, Boivin J, Hay DF, Owen MJ, Thapar A: Agreement between maternal report and antenatal records for a range of pre and peri-natal factors: the influence of maternal and child characteristics. Early Hum Dev. 2007, 83: 497-504. 10.1016\u002Fj.earlhumdev.2006.09.015.",{"doi":1517},"10.1016\u002Fj.earlhumdev.2006.09.015",{"id":18,"text":1519,"url":18,"identifiers":1520},"Yawn BP, Suman VJ, Jacobsen SJ: Maternal recall of distant pregnancy events. J Clin Epidemiol. 1998, 51: 399-405. 10.1016\u002FS0895-4356(97)00304-1.",{"doi":1521},"10.1016\u002FS0895-4356(97)00304-1",{"id":18,"text":1523,"url":18,"identifiers":1524},"Flynn D, Knoedler MA, Hess EP, Murad MH, Erwin PJ, Montori VM, Thomson RG: Engaging patients in health care decisions in the emergency department through shared decision-making: a systematic review. Acad Emerg Med. 2012, 19: 959-967. 10.1111\u002Fj.1553-2712.2012.01414.x.",{"doi":1525},"10.1111\u002Fj.1553-2712.2012.01414.x",{"id":1527,"createTime":1528,"updateTime":1529,"relativeEntities":1530,"slug":1531,"properties":1532,"entityType":197,"verifyStatus":198,"verifyTime":1529,"verifyNote":200,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1541,"fullTextUrl":18,"authors":1542,"publicationType":280,"publisherRelationship":1644,"citationCount":18,"citationInfo":18,"publishDate":1677,"publishYear":1678,"citationAnalyzeStatus":17,"lastCitationAnalyze":18,"indexDatabases":18,"openAccess":18,"references":18,"isForceReanalyzing":316},"a9cf9ab7-bcdd-4e73-8b4f-125ea26937ed","2024-01-09T10:04:16.341+00:00","2024-12-18T23:58:15.395+00:00",[],"An-exploratory-study-of-the-variables-impacting-preterm-birth-rates-in-New-Mexico",{"references":1533,"abstract":1535,"title":1537,"doi":1539},{"VOID":1534},"Anderson RN, Smith BL: Deaths: leading causes for 2002. Natl Vital Stat Rep. 2005, 53 (17): 1-90. Hyattsville, Maryland: National Center for Health Statistics\nBirth and mortality monograph: 2004 preliminary data. New Mexico Department of Health, Bureau of Vital Records and Health Statistics, Epidemiology and Response Division. 2005, NMDH, BVRHS, Santa Fe, New Mexico\nCaughey A: Definition, incidence, significance, and demographic characteristics of preterm birth. 2006, Up To Date, In\nMeis PJ, Michielutte R, Peters TJ, Wells HB, Sands RE, Coles EC, Johns KA: Factors associated with preterm birth in Cardiff. Wales. II. Indicated and spontaneous preterm birth. Am J Obstet Gynecol. 1995, 173 (2): 597-602.\nMercer BM, Goldenberg RL, Moawad AH, Meis PJ, Iams JD, Das AF, Caritis SN, Miodovnik M, Menard MK, Thurnau GR, et al: The preterm prediction study: effect of gestational age and cause of preterm birth on subsequent obstetric outcome. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network. Am J Obstet Gynecol. 1999, 181 (5 Pt 1): 1216-1221.\nKotelchuck M: The Adequacy of Prenatal Care Utilization Index: its US distribution and association with low birthweight. Am J Public Health. 1994, 84 (9): 1486-1489.\nMustard CA, Roos NP: The relationship of prenatal care and pregnancy complications to birthweight in Winnipeg, Canada. Am J Public Health. 1994, 84 (9): 1450-1457.\nKramer MS, Goulet L, Lydon J, Seguin L, McNamara H, Dassa C, Platt RW, Chen MF, Gauthier H, Genest J, et al: Socio-economic disparities in preterm birth: causal pathways and mechanisms. Paediatr Perinat Epidemiol. 2001, 15 (Suppl 2): 104-123.\nGoldenberg RL, Culhane JF, Iams JD, Romero R: Epidemiology and causes of preterm birth. Lancet. 2008, 371 (9606): 75-84.\nPreterm birth: causes, consequences, and prevention Washington, D.C. Edited by: Behrman Butler. 2007, National Academies Press, Washington, D.C\nHamilton BE, Martin JA, Sutto PD: Births: preliminary data for 2003. Natl Vital Stat Rep. 2004, 53 (9): 1-17. Hyattsville, Maryland: National Center for Health Statistics\nNew Mexico Selected Health Statistics Annual Report: New Mexico Department of Health, Bureau of Vital Records and Health Statistics. 2004, NMDH, BVRHS, Santa Fe, New Mexico\nAlexander GR, Wingate MS, Boulet S: Pregnancy outcomes of American Indians: contrasts among regions and with other ethnic groups. Matern Child Health J. 2008, 12 (Suppl 1): 5-11.\nSchillaci MA, Waitzkin H, Carson EA, Romain SJ: Prenatal care utilization for mothers from low-income areas of New Mexico, 1989-1999. PLoS One. 2010, 5 (9): e12809-\nVanderWeele TJ, Lantos JD, Siddique J, Lauderdale DS: A comparison of four prenatal care indices in birth outcome models: comparable results for predicting small-for-gestational-age outcome but different results for preterm birth or infant mortality. J Clin Epidemiology. 2009, 62 (4): 438-445.\nAndersen AM, Mortensen LH: Socioeconomic inequality in birth outcomes: what do the indicators tell us, and where do we find the data?. C M A J. 2006, 174 (10): 1429-1430.\nKelly MM: The basics of prematurity. J Pediatr Health Care. 2006, 20 (4): 238-244.\nPeristats: Prematurity Profile New Mexico. New Mexico March of Dimes. 2006, March of Dimes Birth Defects Foundation, Albuquerque, New Mexico\nParker JD, Schoendorf KC, Kiely JL: Associations between measures of socioeconomic status and low birth weight, small for gestational age, and premature delivery in the United States. Ann Epidemiol. 1994, 4 (4): 271-278.\nMisra DP, O'Campo P, Strobino D: Testing a sociomedical model for preterm delivery. Paediatr Perinat Epidemiol. 2001, 15 (2): 110-122.\nKaufman JS, Dole N, Savitz DA, Herring AH: Modeling community-level effects on preterm birth. Ann Epidemiol. 2003, 13 (5): 377-384.\nPickett KE, Collins JW, Masi CM, Wilkinson RG: The effects of racial density and income incongruity on pregnancy outcomes. Soc Sci Med. 2005, 60 (10): 2229-2238.\nGuendelman S, English PB: Effect of United States residence on birth outcomes among Mexican immigrants: an exploratory study. Am J Epidemiol. 1995, 142 (9 Suppl): S30-38.\nBuck GM, Mahoney MC, Michalek AM, Powell EJ, Shelton JA: Comparison of Native American births in upstate New York with other race births, 1980-86. Public Health Rep. 1992, 107 (5): 569-575.\nVinikoor LC, Messer LC, Laraia BA, Kaufman JS: Reliability of variables on the North Carolina birth certificate: a comparison with directly queried values from a cohort study. Paediatr Perinat Epidemiol. 2010, 24 (1): 102-112.\nThe pre-publication history for this paper can be accessed here:http:\u002F\u002Fwww.biomedcentral.com\u002F1471-2393\u002F12\u002F53\u002Fprepub",{"EN":1536},"Preterm birth (PTB) is a substantial health problem that accounts for significant infant morbidity and mortality and poses an economic burden to both individuals and the state of residence. The goal of this study was to identify maternal risk factors for PTB in New Mexico, a poor state with a unique ethnic background, in order to identify populations at increased risk that would benefit from intervention. This was a cross-sectional retrospective exploratory analysis of 377,770 singleton live births in the state of New Mexico from 1991-2005. Gestational age of less than 37 weeks was defined as PTB. The Kotelchuck Index was used as a measure for level of prenatal care described as inadequate, intermediate, adequate, and intensive. Of the live births analyzed, 28,036 of these were preterm (7.4%). Overall the PTB rate rose at a rate of 0.18% per year from 1991-2005. Among patients with medical risk factors, the absence of prenatal care was associated with higher odds for PTB as compared to adequate prenatal care. Other risk factors were unmarried status, education less than high school, tobacco\u002Falcohol use, black, Asian, and white Hispanic ethnicity, and the presence of one or more medical risk factors. Statistically significant protective factors for PTB were age 25-29, education surpassing high school, and Native American race. This study identified several factors that correlate with increased PTB in New Mexico, in particular ethnicity and level of prenatal care. The finding that Native American patients have a lower PTB rate compared to other groups, even though this group is traditionally one of low socioeconomic status in New Mexico, signifies that other factors yet to be identified affect PTB.",{"EN":1538},"An exploratory study of the variables impacting preterm birth rates in New Mexico",{"VOID":1540},"10.1186\u002F1471-2393-12-53","https:\u002F\u002Fbmcpregnancychildbirth.biomedcentral.com\u002Farticles\u002F10.1186\u002F1471-2393-12-53",[1543,1558,1570,1602,1617,1629],{"id":1544,"sortIndex":239,"researcher":18,"roles":1545,"affiliations":1546,"properties":1555},"81cee19a-c040-4d80-b1a6-88773123dbdd",[208],[1547],{"id":18,"sortIndex":19,"affiliation":1548,"properties":18},{"id":1549,"createTime":1550,"updateTime":1550,"relativeEntities":1551,"slug":18,"properties":1552,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"8cc22775-19d6-4788-9292-c9cb452839f1","2024-01-09T10:04:16.397+00:00",[],{"title":1553},{"VI":1554},"Department of Obstetrics and Gynecology, University of New Mexico, Albuquerque, USA",{"title":1556},{"VI":1557},"Armida Moreno",{"id":1559,"sortIndex":19,"researcher":18,"roles":1560,"affiliations":1561,"properties":1567},"bb211601-da01-40f5-90f9-548c01af8723",[208],[1562],{"id":18,"sortIndex":19,"affiliation":1563,"properties":18},{"id":1549,"createTime":1550,"updateTime":1550,"relativeEntities":1564,"slug":18,"properties":1565,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1566},{"VI":1554},{"title":1568},{"VI":1569},"Kara M Gwin",{"id":1571,"sortIndex":109,"researcher":18,"roles":1572,"affiliations":1573,"properties":1599},"6b9c15bf-a7cf-4838-abd4-cbb1a75f8819",[208],[1574,1579,1589],{"id":18,"sortIndex":19,"affiliation":1575,"properties":18},{"id":1549,"createTime":1550,"updateTime":1550,"relativeEntities":1576,"slug":18,"properties":1577,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},[],{"title":1578},{"VI":1554},{"id":1580,"sortIndex":154,"affiliation":1581,"properties":1588},"5cba5a75-1031-4d39-a5f6-54432418bd55",{"id":1582,"createTime":1583,"updateTime":1583,"relativeEntities":1584,"slug":18,"properties":1585,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"3506e569-799a-400f-95fd-92a420318171","2024-01-13T05:48:52.774+00:00",[],{"title":1586},{"VI":1587},"Holden Comprehensive Cancer Center, University of Iowa, Iowa City, USA",{},{"id":1590,"sortIndex":223,"affiliation":1591,"properties":1598},"ec4d33dc-8eb3-40ed-8a79-108db8141876",{"id":1592,"createTime":1593,"updateTime":1593,"relativeEntities":1594,"slug":18,"properties":1595,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"82a22b9b-9d91-4d51-81cf-441030963b0a","2024-01-09T10:04:16.424+00:00",[],{"title":1596},{"VI":1597},"Department of Obstetrics and Gynecology, University of Iowa, Iowa City, USA",{},{"title":1600},{"VI":1601},"Kimberly K 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College of Obstetricians and Gynecologists. ACOG practice bulletin no. 134: fetal growth restriction. Obstet Gynecol. 2013;121:1122–33.\nKozuki N, Katz J, Christian P, Lee ACC, Liu L, Silveira MF, et al. Comparison of US birth weight references and the international fetal and newborn growth consortium for the 21st century standard. JAMA Pediatr. 2015;169(7):e151438.\nYi KH, Yi YY, Hwang IT. Behavioral and intelligence outcome in 8- to 16-year-old born small for gestational age. Korean J Pediatr. 2016;59(10):414–20.\nSteiner N, Wainstock T, Sheiner E, Segal I, Landau D, Waslfisch A. Small for gestational age as an independent risk factor for long-term pediatric gastrointestinal morbidity of the offspring. J Matern Fetal Neonatal Med. 2017;4:1–5.\nChauhan SP, Rice MM, Grobman WA, Bailit J, Reddy UM, Wapner RJ, et al. MSCE, for the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) maternal-fetal medicine units (MFMU) network. Neonatal morbidity of small- and large-for-gestational-age neonates born at term in uncomplicated pregnancies. Obstet Gynecol. 2017;130(3):511–9.\nMendez-Figueroa H, Truong VT, Pedroza C, Khan AM, Chauhan SP. Small-for-gestational-age infants among uncomplicated pregnancies at term: a secondary analysis of 9 maternal-fetal medicine units network studies. Am J Obstet Gynecol. 2016;215(5):628.e1–7.\nLee AC, Kozuki N, Cousens S, Setevens GA, Blencowe H, Silveira MF, et al. Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21st standard: analysis of CHERG datasets. BMJ. 2017;358:j3677. https:\u002F\u002Fdoi.org\u002F10.1136\u002Fbmj.j3677.\nBlack RE. Global prevalence of small for gestational age births. Nestle Nutr Inst Workshop Ser. 2015. https:\u002F\u002Fdoi.org\u002F10.1159\u002F000365790.\nGaudineau A. Prevalence, risk factors, maternal and fetal morbidity and mortality of intrauterine growth restriction and small-for-gestational age. J Gynecol Obstet Biol Reprod (Paris). 2013;42(8):895–910.\nChiavaroli V, Castorani V, Guidone P, Derraik JG, Liberati M, Chiarelli F, et al. Incidence of infants born small- and large-for-gestational-age in an Italian cohort over a 20-year period and associated risk factors. Ital J Pediatr. 2016;26(42):42.\nBushnik T, Yang S, Kaufman JS, Kramer MS, Wilkins R. Socioeconomic disparities in small-for-gestational-age birth and preterm birth. Health Rep. 2017;28(11):3–10.\nFisher SC, Van Zutphen AR, Romitti PA, Browne ML. National Birth Defects Prevention Study. Maternal hypertension, antihypertensive medication use, and small for gestational age births in the National Birth Defects Prevention Study, 1997–2011. Matern Child Health J. 2018;22(2):237–46.\nMargerison Zilko CE, Rehkopf D, Abrams B. Association of maternal gestational weight gain with short- and long-term maternal and child health outcomes. Am J Obstet Gynecol. 2010;202(6):574.e1–8.\nUsynina AA, Grjibovski AM, Odland JØ, Krettek A. Social correlates of term small for gestational age babies in a Russian Arctic setting. Int J Circumpolar Health. 2016;75:32883. https:\u002F\u002Fdoi.org\u002F10.3402\u002Fijch.v75.32883 eCollection 2016.\nMcCowan L, Horgan RP. Risk factors for small for gestational age infants. Best Pract Res Clin Obstet Gynaecol. 2009;23(6):779–93.\nParlapani E, Agakidis C, Karagiozoglou-Lampoudi T, Sarafidis K, Agakidou E, Athanasiadis A, et al. The Mediterranean diet adherence by pregnant women delivering prematurely: association with size at birth and complications of prematurity. J Matern Fetal Neonatal Med. 13:1–8. https:\u002F\u002Fdoi.org\u002F10.1080\u002F14767058.2017.1399120.\nBain E, Crane M, Tieu J, Han S, Crowther CA, Middleton P. Diet and exercise interventions for preventing gestational diabetes mellitus. Cochrane Database Syst Rev. 2015;4:CD010443. https:\u002F\u002Fdoi.org\u002F10.1002\u002F14651858.CD010443.pub2.\nRamón R, Ballester F, Iñiguez C, Rebagliato M, Murcia M, Esplugues A, et al. Vegetable but not fruit intake during pregnancy is associated with newborn anthropometric measures. J Nutr. 2009;139(3):561–7.\nMikkelsen TB, Osler M, Orozova-Bekkevold I, Knudsen VK, Olsen SF. Association between fruit and vegetable consumption and birth weight: a prospective study among 43,585 Danish women. Scand J Public Health. 2006;34(6):616–22.\nMurphy MM, Stettler N, Smith KM, Reiss R. Associations of consumption of fruits and vegetables during pregnancy with infant birth weight or small for gestational age births: a systematic review of the literature. Int J Womens Health. 2014;6:899–912. https:\u002F\u002Fdoi.org\u002F10.2147\u002FIJWH.S67130 eCollection 2014.\nCatov J, Bodnar LM, Ness RB, Markovic N, Roberts JM. Association of periconceptional multivitamin use and risk of preterm or small-for-gestational-age births. Am J Epidemiol. 2007;166(3):296–303.\nChen Y, Zhu B, Wu X, Li S, Tao F. Association between maternal vitamin D deficiency and small for gestational age: evidence from a meta-analysis of prospective cohort studies. BMJ Open. 2017;7(8):e016404. https:\u002F\u002Fdoi.org\u002F10.1136\u002Fbmjopen-2017-016404.\nGhaemi SZ, Forouhari S, Dabbaghmanesh MH, Sayadi M, Bakhshayeshkaram M, Vaziri F, et al. A prospective study of selenium concentration and risk of. Preeclampsia in pregnant Iranian women: a nested case-control study. Biol Trace Elem Res. 2013;152(2):174–9.\nMistry HD, Kurlak LO, Young SD, Briley AL, Pipkin FB, Baker PN, et al. Maternal selenium, copper and zinc concentrations in pregnancy associated with. Small-for-gestational-age infants. Matern Child Nutr. 2014;10(3):327–34.\nSun H, Chen W, Wang D, Jin Y, Chen X, Xu Y. The effects of prenatal exposure to low-level cadmium, lead and selenium on birth outcomes. Chemosphere. 2014;108:33–9.\nHoran MK, McGowan CA, Gibney ER, Donnelly JM, FM MA. The association between maternal dietary micronutrient intake and neonatal. Anthropometry-secondary analysis from the ROLO study. Nutr J. 2015;14:105.\nZaragoza-Noguera R. Influence of the diet of the pregnant woman on fetal growth, Doctoral thesis. Murcia: University of Murcia; 2017.\nRayman MP. Selenium and human health. Lancet. 2012;379(9822):1256–68. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0140-6736(11)61452-9.\nRicci E, Chiaffarino F, Cipriani S, et al. Diet in pregnancy and risk of small for gestational age birth: results from a retrospective case control study in Italy. Matern Child Nutr. 2010;6:297–305.\nDelgado-Beltrán P, Melchor-Marcos JC, Rodríguez-Alarcón J, Linares-Uribe A, Fernández-Llebrez del Rey L, Barbazán-Cortés MJ, et al. The fetal development curves of newborn infants in the hospital de cruces (Vizcaya). I. Weight. An Esp Pediatr. 1996;44(1):50–4\nÁlvarez-Dardet C, Alonso J, Domingo A, Regidor E. La Medición de la Clase Social en Ciencias de la Salud, Informe de un Grupo de Trabajo de la Sociedad Española de Epidemiología. Madrid: SG Editores; 1995.\nTownsend P, Davidson N. Inequalities in health, the Black report. Hammonsworth: Penguin; 1982.\nKessner DM, Singer J, Kalk CE. Infant death: an analysis by maternal risk and health care. Contrasts in health status. Washington: Institute of Medicine, National Academy of Sciences; 1973.\nFernández-Ballart JD, Piñol JL, Zazpe I, et al. Relative validity of a semi-. Quantitative food-frequency questionnaire in an elderly Mediterranean population of. Spain. Br J Nutr. 2010;103:1808.\nMataix VJ. Tabla de composición de alimentos españoles (Spanish food composition tables). Granada: Universidad de Granada; 2003.\nMoreiras O, Carbajal A, Cabrera L, Cuadrado C. Tablas de composición de alimentos (Spanish food composition tables). Madrid: Pirámide; 2003.\nWillett WC. Nutritional epidemiology. New York: Oxford University Press; 1998.\nInstitute of Medicine (US) Committee to Review Dietary Reference Intakes for Vitamin D and Calcium, Ross AC, Taylor CL, Yaktine AL, et al. Recommended dietary allowances and adequate intakes, elements. Washington: National Academies Press (US); 2011.\nMitchell EA, Robinson E, Clark PM, Becroft DM, Glavish N, Pattison NS, et al. Maternal birth size is not associated with maternal intake and status of folate during the second trimester nutritional risk factors for small for gestational age babies in a developed country: a case-control study. Arch Dis Child Fetal Neonatal Ed. 2004;89(5):F431–5.\nRao S, Yajnik CS, Kanade A, Fall CH, Margetts BM, Jackson AA, et al. Intake of micronutrient-rich foods in rural Indian mothers is associated with the size of their babies at birth: Pune maternal nutrition study. J Nutr. 2001;131(4):1217–24.\nSalcedo-Bellido I, Martínez-Galiano JM, Olmedo-Requena R, Mozas-Moreno J, Bueno-Cavanillas A, Jimenez-Moleon JJ, et al. Association between vitamin intake during pregnancy and risk of small for gestional age. Nutrients. 2017;9(12):1277.\nMartínez-González MA, Salas-Salvadó J, Estruch R, Corella D, Fitó M, Ros E, et al. Benefits of the Mediterranean diet: insights from the PREDIMED study. Prog Cardiovasc Dis. 2015;58(1):50–60.\nAsociación EuroFIR AISBL. Spanish Database of Food Composition. http:\u002F\u002Fwww.bedca.net\u002F Accessed 26 Jan 2018.\nDe la Fuente-Arrillaga C, Ruiz ZV, Bes-Rastrollo M, Sampson L, Martinez-González MA. Reproducibility of an FFQ validated in Spain. Public Health Nutr. 2010;13(9):1364–72. https:\u002F\u002Fdoi.org\u002F10.1017\u002FS1368980009993065.\nOlmedo-Requena R, Amezcua-Prieto C, de Dios L-D-CJ, Lewis-Mikhael AM, Mozas-Moreno J, Bueno-Cavanillas A, et al. Association between low dairy intake during pregnancy and risk of small-for-gestational-age infants. Matern Child Health J. 2016;20(6):1296–304.\nBibiloni MM, González M, Julibert A, Llompart I, Pons A, Tur JA. Ten-year trends (1999–2010) of adherence to the Mediterranean diet among the Balearic Islands’ adult population. Nutrients. 2017;9(7):749.",{"EN":1689},"Different diets during pregnancy might have an impact on the health, reflected in the birthweight of newborns. The consumption of fruits and vegetables during pregnancy and the relationship with newborn health status have been studied by several authors. However, these studies have shown inconsistent results. Purpose: We assessed whether certain foods were related to the risk of small for gestational age (SGA). A matched by age (± 2 years) and hospital 1:1 case-control study of 518 pairs of pregnant Spanish women in five hospitals was conducted. The cases were women with an SGA newborn at delivery (neonates weighting less than the 10th percentile, adjusted for gestational age at delivery and sex, were diagnosed as SGA). The control group comprised women giving birth to babies adequate for gestational age (AGA). Mothers who gave birth to babies large for gestational age (LGA) were excluded. Data were gathered concerning demographic characteristics, socioeconomic status, toxic habits and diet. A food frequency questionnaire (FFQ) comprising 137 items was completed by all participants. The intake of vegetables, legumes and fruits was categorized in quintiles (Q1–Q5). Crude values and and adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression. The variables for adjustment were as follows: preeclampsia, education, smoking, weight gain per week during pregnancy, fish intake and previous preterm\u002Flow birthweight newborns. Total pulse intake showed an inverse association with the risk of SGA (trend p = 0.02). Women with an intake of fruits above 420 g\u002Fday (Q5), compared with women in Q1 (≤ 121 g\u002Fday) showed a decreased risk of SGA (AOR = 0.63, 95% CI = 0.40–0.98). The total consumption of vegetables was not associated with the risk of SGA. The intake of selenium was assessed: a protective association was observed for Q3–5; a daily intake above 60 μg was associated with a lower risk of SGA (AOR = 0.39, 95% CI: 0.22–0.69). Fruits, pulses and selenium reduce the risk of SGA in Spanish women.",{"EN":1691},"Maternal dietary consumption of legumes, vegetables and fruit during pregnancy, does it protect against small for gestational 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Spain",{},{"id":18,"sortIndex":19,"affiliation":1711,"properties":18},{"id":1712,"createTime":1713,"updateTime":1713,"relativeEntities":1714,"slug":18,"properties":1715,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"489bd937-86cb-47b5-94da-066586c8501e","2024-01-17T04:12:27.790+00:00",[],{"title":1716},{"VI":1717},"CIBER de Epidemiología y Salud Pública (CIBERESP), Jaén, Spain",{"id":1719,"sortIndex":223,"affiliation":1720,"properties":1727},"7b095849-39fb-442b-b68a-e1f2fa10f356",{"id":1721,"createTime":1722,"updateTime":1722,"relativeEntities":1723,"slug":18,"properties":1724,"entityType":38,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"syncStatus":17,"languages":18,"translateLanguages":18,"viewCount":19},"622c01e4-3ffb-4386-b040-f75a4f53689d","2023-12-28T07:38:59.420+00:00",[],{"title":1725},{"VI":1726},"Department of Preventive Medicine and Public Health, University of Granada, Granada, 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