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This longitudinal retrospective study investigated the relationship between TG\u002FHDL-C ratio and the risk of progression to prediabetes. We investigated 24,604 Japanese participants (14,609 men and 9,995 women) who underwent annual medical health checkups in 2017 (baseline) and 2022. All participants had no diabetes and prediabetes at baseline. No lipid-lowering medications were taken during the follow-up period. Participants were divided into four groups according to the quartiles of TG\u002FHDL-C ratio at baseline. Multivariable-adjusted Cox regression analysis was conducted to examine hazard ratios (HRs) of progression to prediabetes. Receiver operating characteristic curves were used to determine the optimal cutoff value of TG\u002FHDL-C ratio for prediction of prediabetes. Compared with the lowest TG\u002FHDL-C ratio quartile (Q1) group, the adjusted HRs (95% confidence intervals (CI)) of progression to prediabetes in the Q2, Q3, and Q4 groups, respectively, were 1.17 (0.92–1.47), 1.26 (1.01–1.56), and 1.77 (1.41–2.23) for men and 1.07 (0.60–1.11), 1.19 (1.08–1.29), and 1.58 (1.18–2.31) for women. For every 1 unit increase in TG\u002FHDL-C ratio, the adjusted HRs (95% CI) for progression to prediabetes was 1.09 (1.04–1.13) in men and 1.10 (1.04–1.15) in women. The optimal TG\u002FHDL-C ratio cutoffs were 1.71 and 0.97 in men and women, respectively, but the area under the curve was > 0.70 in both sexes. High TG\u002FHDL-C ratio is a risk factor for progression to prediabetes in Japanese men and women, but it had low discriminative ability in predicting prediabetes risk.",{"EN":143,"VI":144},"Elevated triglyceride\u002Fhigh-density lipoprotein-cholesterol ratio as a risk factor for progression to prediabetes: a 5-year retrospective cohort study in Japan","Tỷ số triglyceride\u002Fcholesterol lipoprotein tỷ trọng cao tăng cao là yếu tố nguy cơ tiến triển thành tiền đái tháo đường: nghiên cứu đoàn hệ hồi cứu 5 năm tại Nhật Bản",{"VOID":146},"Heianza Y, Hara S, Arase Y, Saito K, Fujiwara K, Tsuji H, et al. HbA1c 5.7–6.4% and impaired fasting plasma glucose for diagnosis of prediabetes and risk of progression to Diabetes in Japan (TOPICS 3): a longitudinal cohort study. Lancet. 2011;378:147–55. https:\u002F\u002Fdoi.org\u002F10.1016\u002FS0140-6736(11)60472-8.\nEchouffo-Tcheugui JB, Selvin E. Prediabetes and what it means: the epidemiological evidence. Annu Rev Public Health. 2021;42:59–77. https:\u002F\u002Fdoi.org\u002F10.1146\u002Fannurev-publhealth-090419-102644.\nAbbasi A, Corpeleijn E, Gansevoort RT, Gans RO, Hillege HL, Stolk RP, Navis G, Bakker SJ, Dullaart RP. Role of HDL cholesterol and estimates of HDL particle composition in future development of type 2 Diabetes in the general population: the PREVEND study. J Clin Endocrinol Metab. 2013;98:E1352–9. https:\u002F\u002Fdoi.org\u002F10.1210\u002Fjc.2013-1680.\nBeshara A, Cohen E, Goldberg E, Lilos P, Garty M, Krause I. Triglyceride levels and risk of type 2 Diabetes Mellitus: a longitudinal large study. J Investig Med. 2016;64:383–7. https:\u002F\u002Fdoi.org\u002F10.1136\u002Fjim-2015-000025.\nLin D, Qi Y, Huang C, Wu M, Wang C, Li F, Yang C, Yan L, Ren M, Sun K. Associations of lipid parameters with insulin resistance and Diabetes: a population-based study. Clin Nutr. 2018;37:1423–9. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.clnu.2017.06.018.\nKim-Dorner SJ, Deuster PA, Zeno SA, Remaley AT, Poth M. Should triglycerides and the triglycerides to high-density lipoprotein cholesterol ratio be used as surrogates for insulin resistance? Metabolism. 2010;59:299–304. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.metabol.2009.07.027.\nHadaegh F, Hatami M, Tohidi M, Sarbakhsh P, Saadat N, Azizi F. Lipid ratios and appropriate cut off values for prediction of Diabetes: a cohort of Iranian men and women. Lipids Health Dis. 2010;9:85. https:\u002F\u002Fdoi.org\u002F10.1186\u002F1476-511X-9-85.\nLim TK, Lee HS, Lee YJ. Triglyceride to HDL-cholesterol ratio and the incidence risk of type 2 Diabetes in community dwelling adults: a longitudinal 12-year analysis of the Korean Genome and Epidemiology Study. Diabetes Res Clin Pract. 2020;163:108150. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.diabres.2020.108150.\nSun Y, Wang Z, Huang Z, Hu H, Han Y. The association between the triglyceride-to-high-density lipoprotein cholesterol ratio and the risk of progression to Diabetes from prediabetes: a 5-year cohort study in Chinese adults. Front Endocrinol (Lausanne). 2022;13:947157. https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffendo.2022.947157.\nSheng G, Kuang M, Yang R, Zhong Y, Zhang S, Zou Y. Evaluation of the value of conventional and unconventional lipid parameters for predicting the risk of Diabetes in a non-diabetic population. J Transl Med. 2022;20:266. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12967-022-03470-z.\nTohidi M, Asgari S, Chary A, Safiee S, Azizi F, Hadaegh F. Association of triglycerides to high-density lipoprotein cholesterol ratio to identify future prediabetes and type 2 Diabetes Mellitus: over one-decade follow-up in the Iranian population. Diabetol Metab Syndr. 2023;15:13. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs13098-023-00988-0.\nVandercappellen EJ, Koster A, Savelberg H, Eussen S, Dagnelie PC, Schaper NC, Schram MT, van der Kallen CJ, van Greevenbroek MM, Wesselius A, Schalkwijk CG. Sedentary behaviour and physical activity are associated with biomarkers of endothelial dysfunction and low-grade inflammation-relevance for (pre)Diabetes: the Maastricht Study. Diabetologia. 2022;65:777–89. https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00125-022-05651-3.\nYi Q, Hu H, Zeng Q. Association of triglycerides to high density lipoprotein cholesterol ratio with Hypertension in Chinese adults: a cross-sectional study. Clin Exp Hypertens. 2023;45:2195996. https:\u002F\u002Fdoi.org\u002F10.1080\u002F10641963.2023.2195996.\nChe B, Zhong C, Zhang R, Pu L, Zhao T, Zhang Y, Han L. Triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio as potential Cardiovascular Disease risk factors: an analysis of UK biobank data. Cardiovasc Diabetol. 2023;22:1–11. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12933-023-01762-2.\nLu S, Kuang M, Yue J, Hu C, Sheng G, Zou Y. Utility of traditional and non-traditional lipid indicators in the diagnosis of nonalcoholic fatty Liver Disease in a Japanese population. Lipids Health Dis. 2022;21:95. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12944-022-01712-z.\nLv S, Zhang H, Chen J, Shen Z, Zhu C, Gu Y, Yu X, Zhang D, Wang Y, Ding X, Zhang X. The effect of triglycerides to high-density lipoprotein cholesterol ratio on the reduction of renal function: findings from China health and retirement longitudinal study (CHARLS). Lipids Health Dis. 2021;20:1–9. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12944-021-01542-5.\nGong R, Liu Y, Luo G, Liu W, Jin Z, Xu Z, Li Z, Yang L, Wei X. Associations of TG\u002FHDL ratio with the risk of prediabetes and Diabetes in Chinese adults: a Chinese population cohort study based on open data. Int J Endocrinol. 2021;2021:9949579. https:\u002F\u002Fdoi.org\u002F10.1155\u002F2021\u002F9949579.\nLi X, Xue Y, Dang Y, Liu W, Wang Q, Zhao Y, Zhang Y. Association of non-insulin-based insulin resistance indices with risk of incident prediabetes and Diabetes in a Chinese rural population: a 12-year prospective study. Diabetes Metab Syndr Obes. 2022;15:3809–19. https:\u002F\u002Fdoi.org\u002F10.2147\u002FDMSO.S385906.\nWu L, Wu X, Hu H, Wan Q. Association between triglyceride-to-high-density lipoprotein cholesterol ratio and prediabetes: a cross-sectional study in Chinese non-obese people with a normal range of low-density lipoprotein cholesterol. J Transl Med. 2022;20:484. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12967-022-03684-1.\nAlvarez-Jimenez L, Morales-Palomo F, Moreno-Cabanas A, Ortega JF, Mora-Rodriguez R. Effects of statin therapy on glycemic control and insulin resistance: a systematic review and meta-analysis. Eur J Pharmacol. 2023;947:175672. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ejphar.2023.175672.\nMatsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, Yamagata K, Tomino Y, Yokoyama H, Hishida A. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009;53:982–92. https:\u002F\u002Fdoi.org\u002F10.1053\u002Fj.ajkd.2008.12.034.\nAmerican Diabetes Association. 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2021. Diabetes Care. 2021;44(Supp 1):S15–33. https:\u002F\u002Fdoi.org\u002F10.2337\u002Fdc21-S002.\nRicci C, Schutte AE, Schutte R, Smuts CM, Pieters M. Trends in alcohol consumption in relation to cause-specific and all-cause mortality in the United States: a report from the NHANES linked to the US mortality registry. Am J Clin Nutr. 2020;111:580–89. https:\u002F\u002Fdoi.org\u002F10.1093\u002Fajcn\u002Fnqaa008.\nZhou Y, Yang G, Qu C, Chen J, Qian Y, Yuan L, Mao T, Xu Y, Li X, Zhen S, Liu S. Predictive performance of lipid parameters in identifying undiagnosed Diabetes and prediabetes: a cross-sectional study in eastern China. BMC Endocr Disord. 2022;22:1–9. https:\u002F\u002Fdoi.org\u002F10.1186\u002Fs12902-022-00984-x.\nWen JH, Zhong YY, Wen ZG, Kuang CQ, Liao JR, Chen LH, Wang PS, Wu YX, Ouyang CJ, Chen ZJ. Triglyceride to HDL-C ratio and increased arterial stiffness in apparently healthy individuals. Int J Clin Exp Med. 2015;8:4342–8.\nRutti S, Ehses JA, Sibler RA, Prazak R, Rohrer L, Georgopoulos S, Meier DT, Niclauss N, Berney T, Donath MY, von Eckardstein A. Low- and high-density lipoproteins modulate function, apoptosis, and proliferation of primary human and murine pancreatic beta-cells. Endocrinology. 2009;150:4521–30. https:\u002F\u002Fdoi.org\u002F10.1210\u002Fen.2009-0252.\nSanchez-Archidona AR, Cruciani-Guglielmacci C, Roujeau C, Wigger L, Lallement J, Denom J, Barovic M, Kassis N, Mehl F, Weitz J, Distler M. Plasma triacylglycerols are biomarkers of beta-cell function in mice and humans. Mol Metab. 2021;54:101355. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.molmet.2021.101355.\nNatali A, Baldi S, Bonnet F, Petrie J, Trifiro S, Trico D, Mari A. Plasma HDL-cholesterol and triglycerides, but not LDL-cholesterol, are associated with insulin secretion in non-diabetic subjects. Metabolism. 2017;69:33–42. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.metabol.2017.01.001.\nShimodaira M, Niwa T, Nakajima K, Kobayashi M, Hanyu N, Nakayama T. Impact of serum triglyceride and high density lipoprotein cholesterol levels on early-phase insulin secretion in normoglycemic and prediabetic subjects. 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Available from: https:\u002F\u002Facademic.oup.com\u002Ftoxsci\u002Farticle\u002F160\u002F2\u002F217\u002F4098092",{"doi":517},"10.1093\u002Ftoxsci\u002Fkfx183",{"id":18,"text":519,"url":18,"identifiers":520},"Xiao J, Sheng X, Zhang X, Guo M, Ji X. Curcumin protects against myocardial infarction-induced cardiac fibrosis via SIRT1 activation in vivo and in vitro. Drug Des Devel Ther Dove Medical Press Ltd.; 2016;10:1267–77. Available from: http:\u002F\u002Fwww.pmc\u002Farticles\u002FPMC4820283\u002F?report=abstract",{"doi":521},"10.2147\u002FDDDT.S104925",{"id":18,"text":523,"url":18,"identifiers":524},"Khalil MI, Ahmmed I, Ahmed R, Tanvir EM, Afroz R, Paul S, et al. Amelioration of Isoproterenol-Induced Oxidative Damage in Rat Myocardium by Withania somnifera Leaf Extract. Biomed Res Int. Hindawi Limited. 2015.",{"doi":525},"10.1155\u002F2015\u002F624159",{"id":18,"text":527,"url":18,"identifiers":528},"Panda VS, Naik SR. Cardioprotective activity of Ginkgo biloba Phytosomes in isoproterenol-induced myocardial necrosis in rats: A biochemical and histoarchitectural evaluation. Exp Toxicol Pathol. 2008;60:397–404. Available from: https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F18513933\u002F",{"doi":529},"10.1016\u002Fj.etp.2008.03.010",{"id":531,"createTime":532,"updateTime":533,"relativeEntities":534,"slug":535,"properties":536,"entityType":149,"verifyStatus":150,"verifyTime":547,"verifyNote":152,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":548,"fullTextUrl":18,"authors":549,"publicationType":209,"publisherRelationship":697,"citationCount":748,"citationInfo":749,"publishDate":752,"publishYear":750,"citationAnalyzeStatus":753,"lastCitationAnalyze":754,"indexDatabases":755,"openAccess":18,"references":18,"isForceReanalyzing":262},"a07a80d3-e186-4772-80e3-d361f8fba69e","2023-12-08T12:03:29.452+00:00","2026-07-27T05:49:17.949+00:00",[],"Trend-and-pattern-of-using-herbal-medicines-among-people-who-are-aware-of-their-diabetes-mellitus-results-from-National-STEPs-Surveys-in-2005-to-2011-in-Iran",{"abstract":537,"title":539,"gsPaper":541,"references":543,"doi":545},{"EN":538},"Use of traditional herbal medicines especially by those affected by chronic diseases, such as diabetes mellitus is important. The objective of this study was to assess trend and Pattern of using traditional herbal medicines by diabetic population in Iran. The results of this study are extracted from the National Stepwise approach to chronic disease risk factor surveillance (STEPs), conducted in 2005- 2016 in Iran. A total of 3095 Iranian diabetic individuals, aged more than 25 years in 2005, 1470 diabetics in 2006, 1633 diabetics in 2007, 1652 diabetics in 2008, 1563 diabetics in 2009, and 1005 diabetics in 2011 were included in this study. We couldn’t use data in 2016 because in 2016, traditional herbal use has not been questioned. First, a descriptive analysis of the study variables and prevalence of herbal use for each year, was performed. Thereafter, to determine which variables were independent predictors of adherence to herbal use, we performed multivariate logistic regression. Using traditional herbal medicines among Iranian adult population was increased from 11.1 (9.98–12.20) in 2005 to 23.5 (20.87–26.25) in 2011. The results show increase in herbal medicine use in all age groups, both urban and rural areas, and both male and female over time. Also, we found that using traditional herbal medicines was more common among female compared with male (24.2% versus 21.8%), older than middle-aged people (24.4% versus 15.9%), and people living in urban areas compared with rural area (24.13% versus 20.95%) in 2011. The use of traditional herbs for treatment, alone or in combination with other therapies by the patients who have diabetes has increased over the time. Considering the high level of using traditional herbal medicines in treatment of diabetes and because of the possible herb–drug interactions, policymakers need to take appropriate interventions to control herb store and increase people's knowledge about the herbal usage.",{"EN":540},"Trend and pattern of using herbal medicines among people who are aware of their diabetes mellitus: results from National STEPs Surveys in 2005 to 2011 in Iran",{"VOID":542},"[\"14993315481566455442\"]",{"VOID":544},"Ayele AA, Tegegn HG, Haile KT, Belachew SA, Mersha AG, Erku DA. Complementary and alternative medicine use among elderly patients living with chronic diseases in a teaching hospital in Ethiopia. Complement Ther Med. 2017;35:115–9.\nWHO. Noncommunicable diseases country profiles 2011; 2011.\nMisganaw A, Mariam DH, Ali A, Araya T. Epidemiology of major non-communicable diseases in Ethiopia: a systematic review. J Health Popul Nutr. 2014;32(1):1.\nZokaei A, Ziapour A, Khanghahi ME, Lebni JY, Irandoost SF, Toghroli R, et al. Investigating high blood pressure, type-2 diabetes, dislipidemia, and body mass index to determine the health status of people over 30 years. J Educ Health Promot. 2020;9:333.\nAsfawErku D, BasaznMekuria A. Prevalence and correlates of complementary and alternative medicine use among hypertensive patients in Gondar Town, Ethiopia. Evid Based Complement Altern Med. 2016;2016:6987636.\nHy Chang, Wallis M, Tiralongo E. Use of complementary and alternative medicine among people living with diabetes: literature review. J Adv Nurs. 2007;58(4):307–19.\nHashempur MH, Heydari M, Mosavat SH, Heydari ST, Shams M. Complementary and alternative medicine use in Iranian patients with diabetes mellitus. J Integr Med. 2015;13(5):319–25.\nCanizares M, Hogg-Johnson S, Gignac MA, Glazier RH, Badley EM. Changes in the use practitioner-based complementary and alternative medicine over time in Canada: Cohort and period effects. PLoS one. 2017;12(5):e0177307.\nChang CL, Lin Y, Bartolome AP, Chen Y-C, Chiu S-C, Yang W-C. Herbal therapies for type 2 diabetes mellitus: chemistry, biology, and potential application of selected plants and compounds. Evid Based Complement Altern Med. 2013;2013:378657.\nWazaify M, Afifi FU, El-Khateeb M, Ajlouni K. Complementary and alternative medicine use among Jordanian patients with diabetes. Complement Ther Clin Pract. 2011;17(2):71–5.\nModak M, Dixit P, Londhe J, Ghaskadbi S, Devasagayam TPA. Recent advances in Indian herbal drug research guest editor: Thomas Paul Asir Devasagayam Indian herbs and herbal drugs used for the treatment of diabetes. J Clin Biochem Nutr. 2007;40(3):163–73.\nWu C-H, Wang C-C, Tsai M-T, Huang W-T, Kennedy J. Trend and pattern of herb and supplement use in the United States: results from the 2002, 2007, and 2012 national health interview surveys. Evid Based Complement Altern Med. 2014;2014:872320.\nMenniti-Ippolito F, Gargiulo L, Bologna E, Forcella E, Raschetti R. Use of unconventional medicine in Italy: a nation-wide survey. Eur J Clin Pharmacol. 2002;58(1):61–4.\nBrahmi SA, El M’rabet FZ, Benbrahim Z, Akesbi Y, Amine B, Nejjari C, et al. Complementary medicine use among Moroccan patients with cancer: a descriptive study. Pan Afr Med J. 2011;10:36.\nGupta M, Shafiq N, Kumari S, Pandhi P. Patterns and perceptions of complementary and alternative medicine (CAM) among leukaemia patients visiting haematology clinic of a north Indian tertiary care hospital. Pharmacoepidemiol Drug Saf. 2002;11(8):671–6.\nBehnood-Rod A, Khoshkbejari MAP, Pourzargar P, Hassanzadeh M, Moharamzad Y, Foroughi F. Complementary and alternative medicine use among Iranian patients attending urban outpatient general practices. Complement Ther Clin Pract. 2018;30:58–63.\nErenguc F.N. Complementary and alternative medicine: Current trends and predicting future use. University of Florida; 2014.\nDannemann K, Hecker W, Haberland H, Herbst A, Galler A, Schäfer T, et al. Use of complementary and alternative medicine in children with type 1 diabetes mellitus–prevalence, patterns of use, and costs. Pediatr Diabetes. 2008;9(3pt1):228–35.\nTsasis P, Wu J, An A, Wong HJ, An X, Mei Z, et al. Conceptualizing type 2 diabetes and its management. J Multidiscip Healthc. 2016;9:133.\nGuariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137–49.\nBower AM, Real Hernandez LM, Berhow MA, De Mejia EG. Bioactive compounds from culinary herbs inhibit a molecular target for type 2 diabetes management, dipeptidyl peptidase IV. J Agric Food Chem. 2014;62(26):6147–58.\nNattrass N. Who consults sangomas in Khayelitsha? An exploratory quantitative analysis. Soc Dyn. 2005;31(2):161–82.\nKashani L, Hassanzadeh E, Mirzabeighi A, Akhondzadeh S. Knowledge, attitude and practice of herbal remedies in a group of infertile couples. Acta Med Iran. 2013;51(3):189.\nGoguen JM, Leiter A. Alternative therapy: the role of selected minerals, vitamins, fiber and herbs in treating hyperglycemia. In: Gerstein HC, Haynes B, editors. Evidence-based diabetes care. Hamilton: BC Decker; 2001. p. 295–322.\nShane-McWhorter L. Biological complementary therapies: a focus on botanical products in diabetes. Diabetes Spectr. 2001;14(4):199–208.\nDay C. Are herbal remedies of use in diabetes? Diabet Med. 2005;22(s1):10–2.\nLiu JP, Zhang M, Wang W, Grimsgaard S. Chinese herbal medicines for type 2 diabetes mellitus. Cochrane Libr. 2002;(3): CD003642.\nAtlas D. International Diabetes Federation IDF Diabetes Atlas. 7th ed. Brussels: International Diabetes Federation; 2015.\nFarzadfar F, Peykari N, Larijani B, Rahimzadeh S, Rezaei-Darzi E, Saeedi Moghaddam S. A comprehensive study on national and sub national trend in thyroid cancer prevalence in the iranian population, 1990–2010. Iranian Journal of Diabetes and Metabolism. 2016;15(2):91–100.\nRezaei S, Ahmadi S, Mohamadi-Bolbanabad A, Khanijahani A. Exploring socioeconomic inequalities in the use of medicinal herbs among Iranian households: evidence from a national cross-sectional survey. BMC Complement Med Ther. 2020;20(1):336.\nWHO. STEPS Planning and Implementation: STEPS Instruments for NCD Risk Factors (Core and Expanded Version 1.4). World Health Organization, Geneva. 2003. Available from: www.who.int\u002Fchp\u002Fsteps\u002Fmanual\u002Fen\u002Findex5.html.\nEsteghamati A, Etemad K, Koohpayehzadeh J, Abbasi M, Meysamie A, Noshad S, et al. Trends in the prevalence of diabetes and impaired fasting glucose in association with obesity in Iran: 2005–2011. Diabetes Res Clin Pract. 2014;103(2):319–27.\nEsteghamati A, Meysamie A, Khalilzadeh O, Rashidi A, Haghazali M, Asgari F, et al. Third national Surveillance of Risk Factors of Non-Communicable Diseases (SuRFNCD-2007) in Iran: methods and results on prevalence of diabetes, hypertension, obesity, central obesity, and dyslipidemia. BMC Public Health. 2009;9(1):167.\nFarzadfar F, Danaei G, Namdaritabar H, Rajaratnam JK, Marcus JR, Khosravi A, et al. National and subnational mortality effects of metabolic risk factors and smoking in Iran: a comparative risk assessment. Popul Health Metrics. 2011;9(1):55.\nEisenberg DM, Davis RB, Ettner SL, Appel S, Wilkey S, Van Rompay M, et al. Trends in alternative medicine use in the United States, 1990–1997: results of a follow-up national survey. JAMA. 1998;280(18):1569–75.\nWu L, He Y, Jiang B, Sun D, Wang J, Liu M, et al. Trends in prevalence, awareness, treatment and control of hypertension during 2001–2010 in an urban elderly population of China. PLoS One. 2015;10(8):e0132814.\nWillcox ML, Bodeker G. Traditional herbal medicines for malaria. BMJ: Br Med J. 2004;329(7475):1156.\nLanglois-Klassen D, Kipp W, Jhangri GS, Rubaale T. Use of traditional herbal medicine by AIDS patients in Kabarole District, western Uganda. Am J Trop Med Hyg. 2007;77(4):757–63.\nRyan E, Pick M, Marceau C. Use of alternative medicines in diabetes mellitus. Diabet Med. 2001;18(3):242–5.\nAkilen R, Pimlott Z, Tsiami A, Robinson N. The use of complementary and alternative medicine by individuals with features of metabolic syndrome. J Integr Med. 2014;12(3):171–4.\nBhalerao M, Bolshete P, Swar B, Bangera T, Kolhe V, Tambe M, et al. Use of and satisfaction with complementary and alternative medicine in four chronic diseases: a cross-sectional study from India. 2013;26(2):75–77.\nChing SM, Zakaria ZA, Paimin F, Jalalian M. Complementary alternative medicine use among patients with type 2 diabetes mellitus in the primary care setting: a cross-sectional study in Malaysia. BMC Complement Altern Med. 2013;13(1):148.\nWu C-H, Wang C-C, Kennedy J. Changes in herb and dietary supplement use in the US adult population: a comparison of the 2002 and 2007 National Health Interview Surveys. Clin Ther. 2011;33(11):1749–58.\nAl Saeedi M, El Zubier A, Bahnassi A, Al Dawood K. Patterns of belief and use of traditional remedies by diabetic patients in Mecca, Saudi Arabia. 2003;9(1-2):99–107.",{"VOID":546},"10.1007\u002Fs40200-021-00859-3","2024-05-16T16:13:10.981+00:00","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs40200-021-00859-3",[550,575,595,612,628,644,658,674],{"id":551,"sortIndex":19,"researcher":18,"roles":552,"affiliations":553,"properties":570,"displayName":572,"givenName":18,"familyName":18},"7dd1bb99-d9c7-47f8-adcd-0a12eaac8a03",[160],[554,562],{"id":555,"sortIndex":19,"affiliation":556,"properties":18},"6d331bab-2571-4450-9ecc-561dba12dd96",{"id":555,"createTime":18,"updateTime":18,"relativeEntities":557,"slug":18,"properties":558,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":561,"statistic":18},[],{"title":559},{"VI":560},"Department of Social Welfare Management, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran",[],{"id":563,"sortIndex":121,"affiliation":564,"properties":18},"7e852c81-0a17-456b-9832-897835ba550b",{"id":563,"createTime":18,"updateTime":18,"relativeEntities":565,"slug":18,"properties":566,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":569,"statistic":18},[],{"title":567},{"VI":568},"Social Welfare Management Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran",[],{"title":571,"gsAuthor":573},{"VI":572},"Sina 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Nejad\n",{"VOID":627},"[\"W_nQGq0AAAAJ\"]",{"id":629,"sortIndex":630,"researcher":18,"roles":631,"affiliations":632,"properties":641,"displayName":643,"givenName":18,"familyName":18},"8653ec4d-df3b-47fc-a21a-a1438746cd47",4,[160],[633],{"id":634,"sortIndex":19,"affiliation":635,"properties":18},"15b28757-0ac0-44c3-bbb5-504743c8a76c",{"id":634,"createTime":18,"updateTime":18,"relativeEntities":636,"slug":18,"properties":637,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":640,"statistic":18},[],{"title":638},{"VI":639},"Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran",[],{"title":642},{"VI":643},"Naser 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Yoosefi",{"id":659,"sortIndex":660,"researcher":18,"roles":661,"affiliations":662,"properties":671,"displayName":673,"givenName":18,"familyName":18},"5529af34-040d-407b-b597-cb5c83073b9c",6,[160],[663],{"id":664,"sortIndex":19,"affiliation":665,"properties":18},"179ea93a-6669-4f92-aa24-fb1ac9cd5056",{"id":664,"createTime":18,"updateTime":18,"relativeEntities":666,"slug":18,"properties":667,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":670,"statistic":18},[],{"title":668},{"VI":669},"Department of Public Health, Urmia University of Medical sciences, Urmia, Iran",[],{"title":672},{"VI":673},"Seyed Fahim 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Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran",[],{},{"title":695},{"VI":696},"Farshad Farzadfar",{"url":548,"publisher":698,"properties":743},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":699,"slug":10,"properties":700,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":703,"manageAffiliations":712,"indexDatabases":723,"url":85,"thumbnailPath":18,"statistic":738,"gsStatistic":18,"type":128,"analyzePriority":18},[],{"issn":701,"title":702},{"VOID":13},{"EN":15},[704,708],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":705,"label":706,"description":707,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":709,"label":710,"description":711,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[713,718],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":714,"slug":18,"properties":715,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":717,"statistic":18},[],{"title":716},{"EN":39},[],{"id":42,"createTime":18,"updateTime":18,"relativeEntities":719,"slug":18,"properties":720,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":722,"statistic":18},[],{"title":721},{"EN":46},[48],[724,731],{"id":51,"indexDatabase":725,"url":64,"indexYears":18,"academicFieldIds":730,"indexDatabaseRanking":18},{"id":53,"createTime":18,"updateTime":18,"relativeEntities":726,"label":727,"description":728,"key":60,"publicationTags":729,"standard":18},[],{"EN":56,"VI":56},{"EN":58,"VI":59},[62,63],[66],{"id":68,"indexDatabase":732,"url":79,"indexYears":80,"academicFieldIds":737,"indexDatabaseRanking":84},{"id":70,"createTime":18,"updateTime":18,"relativeEntities":733,"label":734,"description":735,"key":76,"publicationTags":736,"standard":18},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83],{"impactFactor":19,"impactFactorByYear":739,"i10Index":94,"i10IndexLast5Year":95,"totalPublication":96,"totalPublicationByYear":740,"totalCitation":110,"totalCitationByYear":741,"totalCitationPerPublication":118,"totalCitationPerPublicationByYear":742,"hindexLast5Year":95,"hindex":95},{"2017":88,"2018":89,"2019":90,"2020":91,"2021":92,"2022":92,"2023":93},{"2012":98,"2013":99,"2014":100,"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":106,"2023":108,"2024":109},{"2015":112,"2016":102,"2017":106,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117},{"2015":120,"2016":121,"2017":122,"2018":123,"2019":124,"2020":125,"2021":126,"2022":127},{"pages":744,"volume":746},{"VOID":745},"1319-1325",{"VOID":747},"20",20,{"total":748,"publishYear":750,"statisticByYear":751},2021,{"2022":646,"2023":197,"2024":646,"2025":660,"2026":197},"2021-07-20","ERROR_IN_ANALYZE_CITATION","2026-07-27T05:49:17.948+00:00",[84,62],{"id":757,"createTime":758,"updateTime":759,"relativeEntities":760,"slug":761,"properties":762,"entityType":149,"verifyStatus":150,"verifyTime":773,"verifyNote":152,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":774,"fullTextUrl":775,"authors":776,"publicationType":209,"publisherRelationship":833,"citationCount":18,"citationInfo":18,"publishDate":886,"publishYear":887,"citationAnalyzeStatus":888,"lastCitationAnalyze":889,"indexDatabases":890,"openAccess":18,"references":18,"isForceReanalyzing":262},"85cba26a-1696-4ed6-8164-5b800962ed3d","2023-12-08T05:35:27.842+00:00","2026-07-22T21:01:37.270+00:00",[],"Self-Care-Management-of-Patients-with-diabetes-nurses-perspectives",{"abstract":763,"title":765,"gsPaper":767,"references":769,"doi":771},{"EN":764},"To explore nurses’ experiences of providing education on self- care management to patients with diabetes. A qualitative phenomenological study using semi-structured interview on all nine certified diabetic nurse educators in the main hospital and health centres in Brunei. Prolonged engagement with participants and data, and member checking were employed to ensure thematic analysis was trustworthy. Three main themes emerged; 1) Factors of effective teaching strategies that emphasizes on assessing patients’ knowledge and education level to provide individualised instructional plan, which need to follow latest ministerial guidelines and effective pedagogy; 2) Barriers to provide effective education including psychological, financial, and lack of familial support, 3) Overcoming barriers through parallel health education and counselling, referring to medical social worker and non-governmental organizations, and inclusion of family members and carers in plan of care. Diabetic nurse educator plays a crucial role to ensure patient with diabetes achieved competency and compliance with long term self-care management. Nurses’ need to ensure psychological preparedness and patient literacy assessment when designing individualised health education session. While identifying and addressing key barriers for each patient to ensure effectiveness of management plan and improve quality of life. More research are still needed to explore experiences and innovation solutions from nurses in different parts of the world to better inform policymakers and improve organisational and national guidelines for management of patients with diabetes.",{"EN":766},"Self-Care Management of Patients with diabetes: nurses’ perspectives",{"VOID":768},"[]",{"VOID":770},"Ghannadi S, Amouzegar A, Amiri P, Karbalaeifar R, Tahmasebinejad Z, Kazempour-Ardebili S (2016) Evaluating the effect of knowledge, attitude, and practice on self-Management in Type 2 diabetic patients on dialysis. J Diabetes Res. Hindawi Publishing Corporation\ncitation_journal_title=J Diabetes Metab Disord; citation_title=Role of self-care in management of diabetes mellitus; citation_author=SRBL Shrivastava, PS Shrivastava, J Ramasamy; citation_volume=12; citation_publication_date=2013; citation_pages=1-5; citation_doi=10.1186\u002F2251-6581-12-14; citation_id=CR2\ncitation_journal_title=Heal Sci J; citation_title=The role of education in diabetes mellitus type 2 management; citation_author=M Polikandrioti; citation_volume=4; citation_publication_date=2010; citation_pages=201-202; citation_id=CR3\ncitation_journal_title=Diabetes Care; citation_title=National standards for diabetes self-management education; citation_author=MM Funnell, TL Brown, BP Childs, LB Haas, GM Hosey, B Jensen, M Maryniuk, M Peyrot, JD Piette, D Reader, LM Siminerio, K Weinger, MA Weiss; citation_volume=34; citation_publication_date=2011; citation_pages=S89-S96; citation_doi=10.2337\u002Fdc11-S089; citation_id=CR4\ncitation_journal_title=Diabetes Care; citation_title=Diabetes self-management education and support in type 2 diabetes: a joint position statement of the American DPowers, M. a., Bardsley, J., Cypress, M., Duker, P., Funnell, M. M., Hess Fischl, a., … Vivian, E. (2015). Diabetes self-management education an; citation_author=MA Powers, J Bardsley, M Cypress, P Duker, MM Funnell, A Hess Fischl, MD Maryniuk, L Siminerio, E Vivian; citation_volume=38; citation_publication_date=2015; citation_pages=1372-1382; citation_doi=10.2337\u002Fdc15-0730; citation_id=CR5\nLawrenson R, Joshy G, Eerens Y, Johnstone W (2010) How do newly diagnosed patients with type 2 diabetes in the Waikato get their diabetes education? J. Prim. Health Care. p. 303–10\ncitation_journal_title=South India J Soc Heal Diabetes; citation_title=Self-care practices among diabetes patients registered in a chronic disease clinic in Puducherry; citation_author=G Ramaswamy, G Roy, P Chinnakali, S Radhakrishnan, P Thekkur, K Selvaraj; citation_volume=04; citation_publication_date=2016; citation_pages=025-029; citation_doi=10.4103\u002F2321-0656.176572; citation_id=CR7\ncitation_journal_title=J Clin Appl Res Educ.; citation_title=Standards of Medical Care in Diabetes-2013; citation_author=; citation_volume=38; citation_issue=supple; citation_publication_date=2015; citation_pages=s1-94; citation_id=CR8\ncitation_journal_title=Front Public Heal; citation_title=Nurse-led diabetes self-management education improves clinical parameters in Ethiopia; citation_author=FB Hailu, P Hjortdahl, A Moen; citation_volume=6; citation_publication_date=2018; citation_pages=1-11; citation_doi=10.3389\u002Ffpubh.2018.00001; citation_id=CR9\nVivienne Wu S-F, Tung H-H, Liang S-Y, Lee M-C, Yu N-C (2014) Differences in the perceptions of self-care, health education barriers and educational needs between diabetes patients and nurses. Contemp nurse [internet]. Routledge; 2014;46:187–96. Available from: \n                  https:\u002F\u002Fdoi.org\u002F10.5172\u002Fconu.2014.46.2.187\n                  \n                \ncitation_journal_title=JBI Evid Synth LWW; citation_title=Diabetes self-management education training for community health center nurses in Indonesia: a best practice implementation project; citation_author=S Sugiharto, M Stephenson, Y-Y Hsu, NN Fajriyah; citation_volume=15; citation_publication_date=2017; citation_pages=2390-2397; citation_id=CR11\nLeavy P (2014) The Oxford handbook of qualitative research. Oxford University Press, USA\nSAGE Publications I. (2016) Pretesting and Pilot Testing 101. 101–19.\ncitation_journal_title=Diabetes Educ; citation_title=Perception of barriers to self-care management among diabetic patients; citation_author=JA Gazmararian, DC Ziemer, C Barnes; citation_volume=35; citation_publication_date=2009; citation_pages=778-788; citation_doi=10.1177\u002F0145721709338527; citation_id=CR14\ncitation_journal_title=J Health Psychol; citation_title=Barriers and facilitators to effective type 2 diabetes management in a rural context: a qualitative study with diabetic patients and health professionals; citation_author=L Jones, S Crabb, D Turnbull, M Oxlad; citation_volume=19; citation_publication_date=2014; citation_pages=441-453; citation_doi=10.1177\u002F1359105312473786; citation_id=CR15\ncitation_journal_title=BMC Health Serv Res; citation_title=Type 2 diabetes patients’ and providers’ differing perspectives on medication nonadherence: a qualitative meta-synthesis; citation_author=F Brundisini, M Vanstone, D Hulan, D DeJean, M Giacomini; citation_volume=15; citation_publication_date=2015; citation_pages=516; citation_doi=10.1186\u002Fs12913-015-1174-8; citation_id=CR16\ncitation_journal_title=BMC Nurs; citation_title=Nurse-patient communication in primary care diabetes management: an exploratory study; citation_author=L Macdonald, M Stubbe, R Tester, S Vernall, T Dowell, K Dew; citation_volume=12; citation_publication_date=2013; citation_pages=1; citation_doi=10.1186\u002F1472-6955-12-20; citation_id=CR17\ncitation_journal_title=Glob Qual Nurs Res; citation_title=Factors influencing diabetes self-management among medically underserved patients with type II diabetes; citation_author=H Laroche, E Parker, J Reyes, B Muller, T Tripp-Reimer; citation_volume=4; citation_publication_date=2017; citation_pages=233339361771309; citation_doi=10.1177\u002F2333393617713097; citation_id=CR18\ncitation_journal_title=Br J Gen Pract; citation_title=Barriers to effective management of type 2 diabetes in primary care: qualitative systematic review; citation_author=B Rushforth, C McCrorie, L Glidewell, E Midgley, R Foy; citation_volume=66; citation_publication_date=2016; citation_pages=e114-e127; citation_doi=10.3399\u002Fbjgp16X683509; citation_id=CR19\ncitation_journal_title=Evidence-Based Ser 20–2 Rev; citation_title=A Quality Initiative of the Effective Teaching Strategies and Methods of Delivery for Patient Education Effective Teaching Strategies and Methods of Delivery for Patient Education : Guideline Recommendations; citation_author=AJ Friedman, R Cosby, S Boyko, G Turnbull; citation_volume=26; citation_publication_date=2017; citation_pages=12-21; citation_id=CR20\nFan L, Sidani S (2017) Preferences of Persons with Type 2 Diabetes for Diabetes Self-Management Education Interventions : An Exploration. Health (Irvine Calif). 1567–88\ncitation_journal_title=NIH Public Access; citation_author=ME Peek, MJ Ferguson, TP Roberson, MH Chin; citation_volume=15; citation_publication_date=2014; citation_pages=40S-50S; citation_id=CR22\ncitation_journal_title=Diabetes Manag; citation_title=Effective strategies for encouraging behavior change in people with diabetes; citation_author=KK Hood, M Hilliard, G Piatt, CE Ievers-Landis; citation_volume=5; citation_publication_date=2015; citation_pages=499-510; citation_doi=10.2217\u002Fdmt.15.43; 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fasting glycaemia (IFG) has been defined as the fasting plasma glucose level between 6.1 (110 mgl\u002Fdl) and 6.9 mmol\u002Fl (125 mgl\u002Fdl). Control of hyperglycaemia during acute illness among diabetic and non-diabetic patients has been associated with improved outcome. The aim of this study was to investigate the prevalence of and factors related to hyperglycaemia, IFG and diabetes in west of Iran. This project was performed by a cross-sectional method in Ilam province including 2158 people ≥ 25 years old. From the list of all rural and urban health centers of each county, several were randomly selected. For each selected health centre, families numbered 1–20 completed questionnaire forms for all the members aging ≥ 25 years. FBS was measured for all the participants by standard method. All the demographic and laboratory results were analysed using SPSS 16. Descriptive and regression analysis were used for statistical analysis appropriately. A total of 2158 people were evaluated in this study, among which 72 % were female with a mean age of 45.5 ± 14 years. 40 % of participants were from urban regions and the mean height, weight, FBS and waist size of the participants were respectively as follows: 164 ± 8.9 cm, 68.4 ± 12.3 kg, 5.7 ± 2.8 mmol\u002Fl (102.6 ± 49.9 mg\u002Fdl) and 82.3 ± 14.3 cm. The prevalence of IFG, diabetes and hyperglycaemia among participants were 7.8 %, 11.8 % and 19.6 %, respectively and participants from urban area showed a significantly higher prevalence of hyperglycaemia compared to rural regions (P \u003C 0.0001). The most effective factors associated with IFG and diabetes were family history of diabetes, age, hypertension, marital status, place of life and smoking, respectively. The prevalence of IFG, diabetes and hyperglycemia among the population living in Ilam province, west of Iran, were 7.8, 11.8 and 19.6 % respectively which were directly increased with age.",{"EN":901},"Hyperglycaemia and its related risk factors in Ilam province, west of Iran- a population-based 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Diabetes diagnostic criteria and impaired glycemic states: evolving evidence Bas. Clin Diabetes. 2004;22(2):69–70.","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10440-022-00541-7",{"doi":1051},"10.1007\u002Fs10440-022-00541-7",{"id":1047,"text":1053,"url":1049,"identifiers":1054},"David MN, Mayer BD, Robert JH, Robert RH, Richard P, Bernard Z. Impaired fasting glucose and impaired glucose tolerance. Diabetes Care. 2007;30(3):753–9.",{"doi":1051},{"id":18,"text":1056,"url":18,"identifiers":1057},"Kathleen MD, Susan SB, Jean-Charles P. Stress hyperglycaemia. Lancet. 2009;373(9677):1798–807.",{},{"id":1047,"text":1059,"url":1049,"identifiers":1060},"Umpierrez GE, Isaacs SD, Bazargan N, You X, Thaler LM, Kitabchi AE. Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes. J Clin Endocrinol Metab. 2002;87(3):978–82.",{"doi":1051},{"id":1047,"text":1062,"url":1049,"identifiers":1063},"Taubert G, Winkelmann BR, Schleiffer T. 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Age Ageing. 2004;33(1):71–7.",{"doi":1051},{"id":1047,"text":1075,"url":1049,"identifiers":1076},"Cowie CC, Rust KF, Byrd-Holt DD, Eberhardt MS, Flegal KM, Engelgau MM. Prevalence of diabetes and impaired fasting glucose in adults in the U.S. Population. National health and nutrition examination survey 1999–2002. Diabetes Care. 2006;29(6):1263–8.",{"doi":1051},{"id":1047,"text":1078,"url":1049,"identifiers":1079},"Meisinger C, Strassburger K, Heier M, Thorand B, Baumeister SE, Giani G. Prevalence of undiagnosed diabetes and impaired glucose regulation in 35–59-year-old individuals in Southern Germany: the KORA F4 Study. Diabet Med. 2010;27(3):360–2.",{"doi":1051},{"id":18,"text":1081,"url":18,"identifiers":1082},"Sekikawa A, Eguchi H, Tominaga M, Igarashi K, Takahashi A, Manaka H. Prevalence of diabetes mellitus and impaired glucose tolerance in a rural area of Japan. The Funagata diabetes study. J Daiabetes Complications. 2000;14(2):78–83.",{},{"id":1047,"text":1084,"url":1049,"identifiers":1085},"Aschner P. Diabetes trends in Latin America. Diabetes Metab Res. 2002;18(3):S27–31.",{"doi":1051},{"id":1047,"text":1087,"url":1049,"identifiers":1088},"Yuankai S, Frank BH. The global implications of diabetes and cancer. The lancet 2014;383(9933):1947–8.",{"doi":1051},{"id":1047,"text":1090,"url":1049,"identifiers":1091},"Mohan V, Shanthirani CS, Deepa R. Glucose intolerance (diabetes and IGT) in a selected South Indian population with special reference to family history, obesity and lifestyle factors--the Chennai Urban Population Study (CUPS 14). J Assoc Physicians India. 2003;51:771–7.",{"doi":1051},{"id":18,"text":1093,"url":18,"identifiers":1094},"Erasmus RT, Blanco Blanco E, Okesina AB, Matsha T, Gqweta Z, Mesa JA. Prevalence of diabetes mellitus and impaired glucose tolerance in factory workers from Transkei, South Africa. S Afr Med J. 2001;91(2):157–60.",{},{"id":1096,"text":1097,"url":1098,"identifiers":1099},"0e1eea7e-cffe-4f37-b1b4-396d94e86444","Shera AS, Basit A, Fawwad A, Hakeem R, Ahmedani MY, Hyderie MZ. Pakistan national diabetes survey: prevalence of glucose intolerance and associated factors in the Punjab Province of Pakistan. Prim Care Diabetes. 2010;4:79–83.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1751991810000045",{"doi":1100},"10.1016\u002Fj.pcd.2010.01.003",{"id":1047,"text":1102,"url":1049,"identifiers":1103},"Westgard JO, Barry PL, Hunt MR, Groth T. A multi-rule Shewhart chart for quality control in clinical chemistry. Clin Chem. 1981;27:493–501.",{"doi":1051},{"id":18,"text":1105,"url":18,"identifiers":1106},"World Health Organization. Definition, diagnosis and classification of diabetes mellitus and its complications: Report of a WHO Consultation. Part 1. Diagnosis and classification of diabetes mellitus. [Retrieved on 2007 May 29].",{},{"id":1108,"text":1109,"url":1110,"identifiers":1111},"47a36b15-1756-4d1e-b786-63870b85b133","“Diagnosis and classification of diabetes mellitus”. Diabetes Care. 2005;28(Suppl 1):S37–42. doi:10.2337\u002Fdiacare.28.suppl_1.s37.","https:\u002F\u002Fdiabetesjournals.org\u002Fcare\u002Farticle\u002F36\u002FSupplement_1\u002FS67\u002F27252\u002FDiagnosis-and-Classification-of-Diabetes-Mellitus",{"doi":1112},"10.2337\u002Fdc13-s067",{"id":18,"text":1114,"url":1115,"identifiers":1116},"Diabete.co.uk, Fasting Blood Sugar Levels: http:\u002F\u002Fwww.diabetes.co.uk\u002Fdiabetes_care\u002Ffasting-blood-sugar-levels.html access date May 2015.","http:\u002F\u002Fwww.diabetes.co.uk\u002Fdiabetes_care\u002Ffasting-blood-sugar-levels",{},{"id":18,"text":1118,"url":1119,"identifiers":1120},"Persianteb. 2012,\u003Chttp:\u002F\u002Fwww.parsiteb.com\u002Fnews.php?id=123&action=viewFullContent&groupId=56>. Access date Feb 2015.","\u003Chttp:\u002F\u002Fwww.parsiteb.com\u002Fnews.php?id=123&action=viewFullContent&groupId=56",{},{"id":1047,"text":1122,"url":1049,"identifiers":1123},"Janghorbani M, Amini M. Metabolic syndrome in type 2 diabetes mellitus in Isfahan, Iran: prevalence and risk factors. Metab Syndr Relat Disord. 2007;5(3):243–5.",{"doi":1051},{"id":18,"text":1125,"url":18,"identifiers":1126},"Azizi F, Navai L. Study of the prevalence of diabetes and impaired glucose tolerance in rural areas of Tehran province. Hakim. 2001;2(4):112–8.",{},{"id":1047,"text":1128,"url":1049,"identifiers":1129},"Larejani B, Zahedi F. Epidemiology of diabetes mellitus in Iran. Int J Tuberc Lung Dis. 2001;1(1):1–8.",{"doi":1051},{"id":1131,"text":1132,"url":1133,"identifiers":1134},"b77e2e33-18be-4382-90b9-c17e9dd3decf","Azizi F, Rahmani M, Emami H, Mirmiran P, Hajipour R, Madjid M. Cardiovascular risk factors in an Iranian urban population: Tehran lipid and glucose study (phase 1). Soz Praventivmed. 2002;47(6):408–26.","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs000380200008",{"doi":1135},"10.1007\u002Fs000380200008",{"id":1047,"text":1137,"url":1049,"identifiers":1138},"Esteghamati A, Gouya MM, Abbasi M, Delavari A, Alikhani S, Alaedini F, et al. Prevalence of diabetes and impaired fasting glucose in the adult population of Iran. Diabetes Care. 2008;31(1):96–8.",{"doi":1051},{"id":1047,"text":1140,"url":1049,"identifiers":1141},"Haghdoost AA, Rezazadeh KM, Sadghirad B, Baradaran HR. Prevalence of type 2 diabetes in the Islamic Republic of Iran: systematic review and meta-analysis. East Mediterr Health J. 2009;15(3):591–9.",{"doi":1051},{"id":1047,"text":1143,"url":1049,"identifiers":1144},"Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103:137–49.",{"doi":1051},{"id":1047,"text":1146,"url":1049,"identifiers":1147},"Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27(5):1047–53.",{"doi":1051},{"id":18,"text":1149,"url":18,"identifiers":1150},"Australian facts. Diabetes: risk factors for diabetes and its complications. AIHW media release. 2008. p. 20–31.",{},{"id":1152,"createTime":1153,"updateTime":1154,"relativeEntities":1155,"slug":1156,"properties":1157,"entityType":149,"verifyStatus":150,"verifyTime":1168,"verifyNote":152,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1169,"fullTextUrl":18,"authors":1170,"publicationType":209,"publisherRelationship":1233,"citationCount":1283,"citationInfo":1284,"publishDate":1286,"publishYear":887,"citationAnalyzeStatus":753,"lastCitationAnalyze":1287,"indexDatabases":1288,"openAccess":18,"references":18,"isForceReanalyzing":262},"9f862397-abe2-4069-8119-4a76b91593fe","2024-01-27T05:22:59.309+00:00","2026-07-16T13:56:06.134+00:00",[],"Meta-inflammatory-state-and-insulin-resistance-can-improve-after-10-weeks-of-combined-all-extremity-high-intensity-interval-training-in-sedentary-overweight-obese-females-a-quasi-experimental-study",{"abstract":1158,"title":1160,"gsPaper":1162,"references":1164,"doi":1166},{"EN":1159},"The effects of exercise training on suppression of inflammation have been proposed as a therapeutic approach in recent years to modify the obesity-induced inflammatory status and immunometabolic disorders. The present study aimed to assess the impacts of an all-extremity combined high-intensity interval training (HIIT) on inflammatory state and glycolipid metabolism in young sedentary overweight and obese females. This was an quasi-experimental study which was applied by comparing two groups. The participants were allocated to two active (AG, n = 15) and inactive (IG, n = 15) groups. The serum level of adiponectin, interleukin (IL)-10, pentraxin 3 (PTX3), and tumor-necrosis factor α (TNFα) was measured in all subjects. Also, glycolipid metabolism was assessed by measuring the fasting lipid profile parameters, glucose, and insulin levels and calculating the homeostasis model assessment of insulin resistance (HOMA2-IR). Following a 10-week combined all-extremity HIIT in the active subjects, the TNFα, PTX3\u002FIL-10, and TNFα\u002Fadiponectin were significantly reduced. However, the absolute levels of adiponectin, IL-10, and PTX3 remained unchanged. Additionally, a significant decrease was found in insulin, LDL, and HOMA2-IR, while insulin sensitivity and HDL levels showed a significant increase in the active group compared to the inactive group. Our 10-week time-efficient combined all-extremity HIIT promoted an anti-inflammatory state and glycolipid metabolism improvement, suggesting this protocol as a practical therapeutic approach in sedentary obese females.",{"EN":1161},"Meta-inflammatory state and insulin resistance can improve after 10 weeks of combined all-extremity high-intensity interval training in sedentary overweight\u002Fobese females: a quasi-experimental study",{"VOID":1163},"[\"2201361953321100653\"]",{"VOID":1165},"Hotamisligil GS. Inflammation, metaflammation and immunometabolic disorders. Nature. 2017;542(7640):177–85.\nBonacina F, Moregola A, Porte R, Baragetti A, Bonavita E, Salatin A, et al. Pentraxin 3 deficiency protects from the metabolic inflammation associated to diet-induced obesity. 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Cytokine. 2018;111:460–9.\nLuo Y, Liu M. Adiponectin: a versatile player of innate immunity. J Mol Cell Biol. 2016;8(2):120–8.\nPark P-h, McMullen MR, Huang H, Thakur V, Nagy LE. Short-term treatment of RAW264. 7 macrophages with adiponectin increases tumor necrosis factor-α (TNF-α) expression via ERK1\u002F2 activation and Egr-1 expression role of TNF-α in adiponectin-stimulated interleukin-10 production. J Biol Chem. 2007;282(30):21695–703.\nLee S, Norheim F, Langleite TM, Gulseth HL, Birkeland KI, Drevon CA. Effects of long-term exercise on plasma adipokine levels and inflammation-related gene expression in subcutaneous adipose tissue in sedentary dysglycaemic, overweight men and sedentary normoglycaemic men of healthy weight. Diabetologia. 2019;62(6):1048–64.\nSoltani N, Marandi SM, Kazemi M, Esmaeil N. The exercise training modulatory effects on the obesity-induced immunometabolic dysfunctions. 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Inflammation. 2013;36(4):968–76.\nTreviño S, Aguilar-Alonso P, Flores Hernandez JA, Brambila E, Guevara J, Flores G, et al. A high calorie diet causes memory loss, metabolic syndrome and oxidative stress into hippocampus and temporal cortex of rats. Synapse. 2015;69(9):421–33.\nPang Y, Kartsonaki C, Turnbull I, Guo Y, Clarke R, Chen Y, et al. Diabetes, plasma glucose, and incidence of fatty liver, cirrhosis, and liver cancer: a prospective study of 0.5 million people. Hepatology. 2018;68(4):1308–18.\nGuo H, Qiu X, Deis J, Lin T-Y, Chen X. Pentraxin 3 deficiency exacerbates lipopolysaccharide-induced inflammation in adipose tissue. Int J Obes. 2019:1.",{"VOID":1167},"10.1007\u002Fs40200-020-00550-z","2024-06-23T16:42:42.627+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40200-020-00550-z",[1171,1186,1201,1218],{"id":1172,"sortIndex":19,"researcher":18,"roles":1173,"affiliations":1174,"properties":1183,"displayName":1185,"givenName":18,"familyName":18},"8416e1a6-e4c9-4501-a64b-83990fb12117",[160],[1175],{"id":1176,"sortIndex":19,"affiliation":1177,"properties":18},"7d6e6122-0330-4746-97d4-1ed053452da2",{"id":1176,"createTime":18,"updateTime":18,"relativeEntities":1178,"slug":18,"properties":1179,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1182,"statistic":18},[],{"title":1180},{"VI":1181},"Department of Exercise Physiology, Faculty of Sport Sciences, University of Isfahan, Isfahan, Iran",[],{"title":1184},{"VI":1185},"Nakisa 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Esmaeil",{"url":1169,"publisher":1234,"properties":1279},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1235,"slug":10,"properties":1236,"entityType":16,"verifyStatus":17,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":19,"subjectFields":1239,"manageAffiliations":1248,"indexDatabases":1259,"url":85,"thumbnailPath":18,"statistic":1274,"gsStatistic":18,"type":128,"analyzePriority":18},[],{"issn":1237,"title":1238},{"VOID":13},{"EN":15},[1240,1244],{"id":22,"createTime":18,"updateTime":18,"relativeEntities":1241,"label":1242,"description":1243,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":25},{},{"id":28,"createTime":18,"updateTime":18,"relativeEntities":1245,"label":1246,"description":1247,"parentId":18,"standard":18,"scholarHubFieldId":18},[],{"EN":31},{},[1249,1254],{"id":35,"createTime":18,"updateTime":18,"relativeEntities":1250,"slug":18,"properties":1251,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1253,"statistic":18},[],{"title":1252},{"EN":39},[],{"id":42,"createTime":18,"updateTime":18,"relativeEntities":1255,"slug":18,"properties":1256,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1258,"statistic":18},[],{"title":1257},{"EN":46},[48],[1260,1267],{"id":51,"indexDatabase":1261,"url":64,"indexYears":18,"academicFieldIds":1266,"indexDatabaseRanking":18},{"id":53,"createTime":18,"updateTime":18,"relativeEntities":1262,"label":1263,"description":1264,"key":60,"publicationTags":1265,"standard":18},[],{"EN":56,"VI":56},{"EN":58,"VI":59},[62,63],[66],{"id":68,"indexDatabase":1268,"url":79,"indexYears":80,"academicFieldIds":1273,"indexDatabaseRanking":84},{"id":70,"createTime":18,"updateTime":18,"relativeEntities":1269,"label":1270,"description":1271,"key":76,"publicationTags":1272,"standard":18},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83],{"impactFactor":19,"impactFactorByYear":1275,"i10Index":94,"i10IndexLast5Year":95,"totalPublication":96,"totalPublicationByYear":1276,"totalCitation":110,"totalCitationByYear":1277,"totalCitationPerPublication":118,"totalCitationPerPublicationByYear":1278,"hindexLast5Year":95,"hindex":95},{"2017":88,"2018":89,"2019":90,"2020":91,"2021":92,"2022":92,"2023":93},{"2012":98,"2013":99,"2014":100,"2015":101,"2016":102,"2017":103,"2018":104,"2019":105,"2020":106,"2021":107,"2022":106,"2023":108,"2024":109},{"2015":112,"2016":102,"2017":106,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117},{"2015":120,"2016":121,"2017":122,"2018":123,"2019":124,"2020":125,"2021":126,"2022":127},{"pages":1280,"volume":1282},{"VOID":1281},"717-726",{"VOID":885},11,{"total":1283,"publishYear":887,"statisticByYear":1285},{"2021":121,"2022":197,"2023":197,"2024":614,"2025":121,"2026":197},"2020-07-18","2026-07-16T13:56:06.133+00:00",[84,62],{"id":1290,"createTime":1291,"updateTime":1292,"relativeEntities":1293,"slug":1294,"properties":1295,"entityType":149,"verifyStatus":150,"verifyTime":1306,"verifyNote":152,"languages":18,"translateLanguages":18,"viewCount":19,"primaryUrl":1307,"fullTextUrl":18,"authors":1308,"publicationType":209,"publisherRelationship":1396,"citationCount":19,"citationInfo":1447,"publishDate":1450,"publishYear":1448,"citationAnalyzeStatus":17,"lastCitationAnalyze":1451,"indexDatabases":1452,"openAccess":18,"references":18,"isForceReanalyzing":262},"d515c92d-21f5-457f-8086-9e5ad0e57894","2024-02-18T21:08:45.288+00:00","2026-07-14T11:40:49.049+00:00",[],"A-patient-with-features-of-albright-hereditory-osteodystrophy-and-unusual-neuropsychiatric-findings-without-coding-Gsalpha-mutations",{"abstract":1296,"title":1298,"gsPaper":1300,"references":1302,"doi":1304},{"EN":1297},"Pseudohypoparathyroidism(PHP) is a heterogeneous group of rare metabolic disorders characterized by hypocalcemia and hyperphosphatemia resulting from PTH resistance. Different forms of PHP have been reported based on biochemical and clinical manifestation and genetic findings. Most of these forms are caused by defects in GNAS, an imprinted gene locus with multiple subunits. We reported a 12- year- old girl with unusual clinical manifestations of Pseudopseudohypoparathyroidism(PPHP). After clinical and biochemical evaluations, the patients’ genomic DNA was isolated from peripheral blood leukocytes using salting out method. The whole coding sequences of GNAS gene including 13 exons were amplified by PCR. Quantitative PCR reactions were performed too. We described a 12- year- old girl with Albright Hereditory osteodystrophy (AHO) phenotype, poor school performance, some abnormal movements, TSH resistance with normal serum calcium and phosphorus levels and normal Gsα bioactivity with no mutation in GNAS exons. Unusual neuropsychiatric findings in this patient were compatible with Asperger syndrome. According to our findings this patient could not be categorized in any of PHP subgroups. Identifying of such individuals may be useful to discover different genetic patterns in pseudohypoparathyroidism and pseudopseudohypoparathyroidism. It is important to identify patients in whom PHP is caused by novel GNAS mutations, as careful investigations of these findings will likely further our knowledge of this complex and this unique disorder. In addition this case presented with unusual neuropsychiatric findings which has not been reported up to now.",{"EN":1299},"A patient with features of albright hereditory osteodystrophy and unusual neuropsychiatric findings without coding Gsalpha mutations",{"VOID":1301},"[\"14654366856183101736\"]",{"VOID":1303},"Weinstein LS, Yu S, Warner DR, Liu J: Endocrine manifestations of stimulatory G protein α-subunit mutations and the role of genomic imprinting. Endocr Rev 2001, 22(5):675–705.\nMantovani G, Spada A: Mutations in the Gs alpha gene causing hormone resistance. Best Pract Res Clin Endocrinol Metab 2006, 20(4):501–513. 10.1016\u002Fj.beem.2006.09.001\nBastepe M, Jüppner H: GNAS locus and pseudohypoparathyroidism. Horm Res 2005, 63(2):65–74. 10.1159\u002F000083895\nAlbright F, Burnett C, Smith PH, Parson W: Pseudohypoparathyroidism: an example of “Seabright-Bantam syndrome”. Endocrinology 1942, 30(6):922–932.\nde Nanclares GP, Fernández-Rebollo E, Santin I, García-Cuartero B, Gaztambide S, Menéndez E, Morales MJ, Pombo M, Bilbao JR, Barros F, Zazo N, Ahrens W, Jüppner H, Hiort O, Castaño L, Bastepe M: Epigenetic defects of GNAS in patients with pseudohypoparathyroidism and mild features of albright’s hereditary osteodystrophy. J Clin Endocrinol Metab 2007, 92(6):2370–2373. 10.1210\u002Fjc.2006-2287\nAlbright F, Forbes A, Henneman P: Pseudo-pseudohypoparathyroidism. Trans Assoc Am Phys 1952, 65: 337.\nWilson LC, Oude Luttikhuis ME, Clayton PT, Fraser WD, Trembath RC: Parental origin of Gs alpha gene mutations in Albright’s hereditary osteodystrophy. J Med Genet 1994, 31(11):835–839. 10.1136\u002Fjmg.31.11.835\nFarfel Z, Brothers VM, Brickman AS, Conte F, Neer R, Bourne HR: Pseudohypoparathyroidism: inheritance of deficient receptor-cyclase coupling activity. Proc Natl Acad Sci U S A 1981, 78(5):3098–3102. 10.1073\u002Fpnas.78.5.3098\nALDRED MA: Genetics of pseudohypoparathyroidism types Ia and Ic. J Pediatr Endocrinol Metab 2006, 19(Suppl 2):635–640.\nDrezner M, Neelon FA, Lebovitz HE: Pseudohypoparathyroidism type II: a possible defect in the reception of the cyclic AMP signal. N Engl J Med 1973, 289(20):1056–1060. 10.1056\u002FNEJM197311152892003\nRodriguez HJ, Villarreal JRH, Klahr S, Slatopolsky E: Pseudohypoparathyroidism type II: restoration of normal renal responsiveness to parathyroid hormone by calcium administration. J Clin Endocrinol Metab 1974, 39(4):693–701. 10.1210\u002Fjcem-39-4-693\nMantovani G, de Sanctis L, Barbieri AM, Elli FM, Bollati V, Vaira V, Labarile P, Bondioni S, Peverelli E, Lania AG, Beck-Peccoz P, Spada A: Pseudohypoparathyroidism and GNAS epigenetic defects: clinical evaluation of Albright hereditary osteodystrophy and molecular analysis in 40 patients. J Clin Endocrinol Metab 2010, 95(2):651–658. 10.1210\u002Fjc.2009-0176\nLecumberri B, Fernández-Rebollo E, Sentchordi L, Saavedra P, Bernal-Chico A, Pallardo LF, Bustos JM, Castaño L, de Santiago M, Hiort O, Pérez de Nanclares G, Bastepe M: Coexistence of two different pseudohypoparathyroidism subtypes (Ia and Ib) in the same kindred with independent Gsα coding mutations and GNAS imprinting defects. J Med Genet 2010, 47(4):276–280. 10.1136\u002Fjmg.2009.071001\nIllum F, Dupont E: Prevalences of CT-detected calcification in the basal ganglia in idiophathic hypoparathyroidism and pseudohypoparathyroidism. Neuroradiology 1985, 27(1):32–37. 10.1007\u002FBF00342514\nFarfel Z, Friedman E: Mental deficiency in pseudohypoparathyroidism type I is associated with Ns-protein deficiency. Ann Intern Med 1986, 105(2):197–199. 10.7326\u002F0003-4819-105-2-197\nNarch H: A girl with poor school performance. Eur J Pediatr 2000, 159(1):121–122.\nWilson LC, Trembath RC: Albright’s hereditary osteodystrophy. J Med Genet 1994, 31(10):779–784. 10.1136\u002Fjmg.31.10.779\nMantovani G, Romoli R, Weber G, Brunelli V, De Menis E, Beccio S, Beck-Peccoz P, Spada A: Mutational analysis of GNAS1 in patients with pseudohypoparathyroidism: identification of two novel mutations. J Clin Endocrinol Metab 2000, 85(11):4243–4248.\nDavies SJ, Hughes HE: Imprinting in Albright’s hereditary osteodystrophy. J Med Genet 1993, 30(2):101–103. 10.1136\u002Fjmg.30.2.101\nReis MT, Cattani A, Mendonca BB, Corrêa PH, Martin RM: A novel GNAS mutation in an infant boy with pseudohypoparathyroidism type Ia and normal serum calcium and phosphate levels. Arq Bras Endocrinol Metabol 2010, 54(8):728–731. 10.1590\u002FS0004-27302010000800011\nThiele S, de Sanctis L, Werner R, Grötzinger J, Aydin C, Jüppner H, Bastepe M, Hiort O: Functional characterization of GNAS mutations found in patients with pseudohypoparathyroidism type Ic defines a new subgroup of pseudohypoparathyroidism affecting selectively Gsα‒receptor interaction. Hum Mutat 2011, 32(6):653–660. 10.1002\u002Fhumu.21489\nLinglart A, Carel JC, Garabédian M, Lé T, Mallet E, Kottler ML: GNAS1 lesions in pseudohypoparathyroidism Ia and Ic: genotype phenotype relationship and evidence of the maternal transmission of the hormonal resistance. J Clin Endocrinol Metab 2002, 87(1):189–197. 10.1210\u002Fjcem.87.1.8133\nLado-Abeal J, Castro-Piedras I, Palos-Paz F, Labarta-Aizpún JI, Albero-Gamboa R: Family with congenital hypothyroidism caused by a combination of loss-of-function mutations in the thyrotropin receptor and adenylate cyclase-stimulating g alpha-protein subunit genes. Thyroid 2011, 21(2):103–109. 10.1089\u002Fthy.2010.0187\nYu S, Gavrilova O, Chen H, Lee R, Liu J, Pacak K, Parlow AF, Quon MJ, Reitman ML, Weinstein LS: Paternal versus maternal transmission of a stimulatory G-protein alpha subunit knockout produces opposite effects on energy metabolism. J Clin Invest 2000, 105(5):615–623. 10.1172\u002FJCI8437\nMantovani G, Ballare E, Giammona E, Beck-Peccoz P, Spada A: The Gsα gene: predominant maternal origin of transcription in human thyroid gland and gonads. J Clin Endocrinol Metab 2002, 87(10):4736–4740. 10.1210\u002Fjc.2002-020183\nGermain-Lee EL, Ding CL, Deng Z, Crane JL, Saji M, Ringel MD, Levine MA: Paternal imprinting of Gαs in the human thyroid as the basis of TSH resistance in pseudohypoparathyroidism type 1a. Biochem Biophys Res Commun 2002, 296(1):67–72. 10.1016\u002FS0006-291X(02)00833-1\nIzraeli S, Metzker A, Horev G, Karmi D, Merlob P, Farfel Z: Albright hereditary osteodystrophy with hypothyroidism, normocalcemia, and normal Gs protein activity: a family presenting with congenital osteoma cutis. Am J Med Genet 1992, 43(4):764–767. 10.1002\u002Fajmg.1320430424\nDavids MS, Crawford E, Weremowicz S, Morton CC, Copeland NG, Gilbert DJ, Jenkins NA, Phelan MC, Comb MJ, Melnick MB: STK25 is a candidate gene for pseudopseudohypoparathyroidism. Genomics 2001, 77(1–2):2–4.\nGeneReviews: 2q37 Deletion Syndrome. http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fbook\u002FNBK1158\nAmerican Psychiatric Association: Diagnostic and statistical manual of mental disorders : DSM-IV-TR. American Psychiatric Association: Washington; 2000.\nWarwick TC, Griffith J, Reyes B, Legesse B, Evans M: Effects of vagus nerve stimulation in a patient with temporal lobe epilepsy and Asperger syndrome: case report and review of the literature. Epilepsy Behav 2007, 10(2):344–347. 10.1016\u002Fj.yebeh.2007.01.001",{"VOID":1305},"10.1186\u002F2251-6581-13-56","2024-05-06T01:44:19.174+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1186\u002F2251-6581-13-56",[1309,1342,1355,1370,1383],{"id":1310,"sortIndex":19,"researcher":18,"roles":1311,"affiliations":1312,"properties":1337,"displayName":1339,"givenName":18,"familyName":18},"0440f198-1bf6-4cea-9036-c29fee5d81c3",[160],[1313,1321,1329],{"id":1314,"sortIndex":19,"affiliation":1315,"properties":18},"74e73f8b-c4fe-4cfd-a194-ff6d126503e7",{"id":1314,"createTime":18,"updateTime":18,"relativeEntities":1316,"slug":18,"properties":1317,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1320,"statistic":18},[],{"title":1318},{"VI":1319},"Obesity & Eating Habits Research Center, Endocrinology and metabolism Cellular & Molecular Science Institute, Endocrinology & Metabolism research 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study aimed to identify the characteristics of interventions employed to promote behavior change in people with type 2 diabetes mellitus (T2DM) and their impact on disease self-management and glycated hemoglobin (A1c). The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to guide the protocol development for this systematic review. Randomized controlled clinical trials which compared behavior change interventions to controls in adults with T2DM and investigated disease self-management and glycated hemoglobin (A1c) measured by validated methods were eligible for this study. The risk of bias and quality of evidence was assessed respectively by Cochrane’s tool and grading of recommendations, assessment, development, and evaluation (GRADE). A total of 27 studies were included involving 4464 participants. Behavior change was mainly promoted by education sessions on diabetes care delivered face-to-face, monthly, or every other month, lasting more than 60 min, involving blood glucose monitoring, healthy eating, exercise, and medication. Four studies showed significant improvement in both disease self-management and A1c. The risk of bias was classified as high in most studies. A meta-analysis could not be performed for A1c and self-management due to the high differences in intervention parameters (delivery mode, number, duration, and frequency) and self-management assessments. Low evidence of improvement in disease self-management and A1c considering only validated assessment methods were found for behavior change interventions, mainly promoted by education sessions on diabetes care. The quality of studies and probably the differences in intervention protocols contributed to this finding. CRD42020161162.",{"EN":1463},"Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c",{"VOID":768},{"VOID":1466},"Deshpande AD, Harris-Hayes M, Schootman M. Epidemiology of diabetes and diabetes-related complications. Vol. 88, Physical Therapy. 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Changing physical activity behavior in type 2 diabetes: A systematic review and meta-analysis of behavioral interventions. Diabetes Care. 2012;35:2681-9. https:\u002F\u002Fdoi.org\u002F10.2337\u002Fdc11-2452.\nGreenwood DA, Gee PM, Fatkin KJ, Peeples M. A systematic review of reviews evaluating technology-enabled diabetes self-management education and support. J Diabetes Sci Technol. 2017;11:1015-27. https:\u002F\u002Fdoi.org\u002F10.1177\u002F1932296817713506.\nSumamo Schellenberg E, Dryden DM, Vandermeer B, Ha C, Korownyk C. Lifestyle interventions for patients with and at risk for type 2 diabetes: a systematic review and meta-analysis. Ann Intern Med. 2013;159:543-51. https:\u002F\u002Fdoi.org\u002F10.7326\u002F0003-4819-159-8-201310150-00007.\nDe Angelis C, Drazen JM, Frizelle FA, et al. Clinical trial registration: A statement from the International Committee of Medical Journal Editors. N Engl J Med. 2004;351:1250–1.",{"VOID":1468},"10.1007\u002Fs40200-021-00846-8","2024-06-25T10:09:26.387+00:00","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs40200-021-00846-8",[1472,1487,1500,1515,1537,1559],{"id":1473,"sortIndex":19,"researcher":18,"roles":1474,"affiliations":1475,"properties":1484,"displayName":1486,"givenName":18,"familyName":18},"2862f176-3d4c-4d78-a3f7-0e88570bda58",[160],[1476],{"id":1477,"sortIndex":19,"affiliation":1478,"properties":18},"7ca25781-e740-464d-87f9-24be05835c36",{"id":1477,"createTime":18,"updateTime":18,"relativeEntities":1479,"slug":18,"properties":1480,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1483,"statistic":18},[],{"title":1481},{"VI":1482},"Graduate Program in Rehabilitation and Physical-Functional Performance Sciences, Federal University of Juiz de Fora (UFJF), Juiz de Fora, Brazil",[],{"title":1485},{"VI":1486},"Ana Paula Delgado 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Kidney Disease (CKD) has become the 8th leading cause of death in Iran in 2017, 5 steps up from 1990. This is important as hypertension, diabetes, and chronic glomerulonephritis along with exposure to toxins or heavy metals are the main risk factors for the disease. Despite its heavy burden, there are limited studies on the incidence and prevalence of the disease in the Iranian adult population. The present article studies the burden of CKD at the national level in 2019, and its trend over the past three decades. In 2019, the Global Burden of Disease (GBD) study provided an annual estimation of the burden of 369 diseases and injuries in 204 countries from 1990 until 2019. The data estimating CKD and related mortality in Iran were collected from the disease registry, survey, and scientific literature. All-ages and age-standardised indices of incidence, prevalence, deaths, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) were extracted for both sexes. Since 1990, the age-standardized incidence (34.7% (95% uncertainty interval 30.8 – 38.8)) and prevalence (19.6% (17.7 – 21.8)) of CKD have risen, while a 21.5% (-28.8 – -15.4) and 18.0% (-35.4 – -10.8) decrease were noted in age-standardized DALYs and deaths rates, respectively. The lowest prevalence was reported in the eastern and western provinces. Current study provides comprehensive knowledge about the CKD burden, suggesting the Iranian healthcare system has been more effective in averting deaths rather than managing morbidities. Multi-sectoral action plans are needed to strengthen preventive and early detection programs in high-risk areas.",{"EN":1660},"The national trend of the burden of Chronic Kidney Disease (CKD) in Iran from 1990 to 2019",{"VOID":1662},"[\"18060181807145566845\"]",{"VOID":1664},"Bikbov B, Purcell CA, Levey AS, Smith M, Abdoli A, Abebe M, et al. 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BMC Nephrol. 2020;21:506.\nMurray CJL, Lopez AD. Evidence-based health policy–-lessons from the Global Burden of Disease Study. Science (80- ). 1996;274:740–3.\nForouzanfar MH, Sepanlou SG, Shahraz S. Evaluating causes of death and morbidity in Iran, Global Burden of Diseases, Injuries, and Risk Factors Study 2010. Arch Iran Med. 2014;17:304.\nTohidi M, Hasheminia M, Mohebi R, Khalili D, Hosseinpanah F, Yazdani B, et al. Incidence of chronic kidney disease and its risk factors, results of over 10 year follow up in an Iranian Cohort. PLoS One [Internet]. 2012 [cited 2021 Aug 6];7. Available from: https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F23028919\u002F.\nTabrizi R, Zolala F, Nasirian M, Baneshi MR, Etminan A, Sekhavati E, et al. Estimation of the prevalence of chronic kidney disease: the results of a model based estimation in Kerman, Iran. [cited 2021 Aug 5]. Available from: http:\u002F\u002Fmjiri.iums.ac.ir.\nAbbafati C, Machado DB, Cislaghi B, Salman OM, Karanikolos M, McKee M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet [Internet]. 2020 [cited 2021 Apr 13];396:1204–22. Available from: https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F33069326\u002F.\nKDIGO 21021 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Kidney Int [Internet]. 2013 [cited 2021 Aug 5];3. Available from: www.publicationethics.org.\nGlobal Burden of Disease Study 2019 (GBD 2019) Cause List Mapped to ICD Codes | GHDx [Internet]. Seattle, United States; 2020. Available from: http:\u002F\u002Fghdx.healthdata.org\u002Frecord\u002Fihme-data\u002Fgbd-2019-cause-icd-code-mappings.\nStouffer JA. Community Risk Assessment, A Guide for Conducting a Community Risk Assessment.\nMokdad AH, Mensah GA, Krish V, Glenn SD, Miller-Petrie MK, Lopez AD, et al. Global, regional, national, and subnational big data to inform health equity research: Persp ectives from the global burden of disease study 2017. Ethn Dis [Internet]. 2019 [cited 2021 Aug 3];29:159–72. Available from: https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F30906165\u002F.\nEbrahimi H, Amini E, Pishgar F, Moghaddam SS, Nabavizadeh B, Rostamabadi Y, et al. Global, Regional and National Burden of Bladder Cancer, 1990 to 2016: Results from the GBD Study 2016. J Urol [Internet]. 2019 [cited 2021 Aug 20];201:893–901. Available from: https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F30676477\u002F.\nBakhshayeshkaram M, Roozbeh J, Heydari ST, Honarvar B, Dabbaghmanesh MH, Ghoreyshi M, et al. A population-based study on the prevalence and risk factors of chronic kidney disease in adult population of Shiraz, Southern Iran. Galen Med J. 2019;8:935.\nHill NR, Fatoba ST, Oke JL, Hirst JA, O’Callaghan CA, Lasserson DS, et al. Global Prevalence of Chronic Kidney Disease: A systematic review and meta-analysis. PLoS One [Internet]. 2016 [cited 2021 Aug 6];11. Available from: \u002Fpmc\u002Farticles\u002FPMC4934905\u002F.\nBouya S, Balouchi A, Rafiemanesh H, Hesaraki M. Prevalence of Chronic Kidney Disease in Iranian general population: a meta-analysis and systematic review. Ther Apher Dial. 2018;22:594–9.\nAbbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet [Internet]. 2020 [cited 2021 May 27];396:1223–49. Available from: www.thelancet.com.\nZhang QL, Rothenbacher D. Prevalence of chronic kidney disease in population-based studies: systematic review. BMC Public Health [Internet]. 2008 [cited 2021 Aug 5];8. Available from: https:\u002F\u002Fpubmed.ncbi.nlm.nih.gov\u002F18405348\u002F.\nDjalalinia S, Mehdipour P, Mohajer B, Mohebi F, Larijani B, Sepanlou SG, et al. Levels and trends of BMI, obesity, and overweight at national and sub-national levels in Iran from 1990 to 2016; a comprehensive pooled analysis of half a million individuals. Arch Iran Med [Internet]. 2021 [cited 2021 Aug 19];24:344–53. Available from: http:\u002F\u002Faimjournal.ir\u002FArticle\u002Faim-13946.\nSepanlou SG, Barahimi H, Najafi I, Kamangar F, Poustchi H, Shakeri R, et al. Prevalence and determinants of chronic kidney disease in northeast of Iran: results of the Golestan cohort study. PLoS One [Internet]. 2017 [cited 2021 Aug 5];12:e0176540. Available from: https:\u002F\u002Fjournals.plos.org\u002Fplosone\u002Farticle?id=10.1371\u002Fjournal.pone.0176540.\nLevey AS, Eckardt KU, Tsukamoto Y, Levin A, Coresh J, Rossert J, et al. Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2005;67:2089–100.\nCouser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011;80:1258–70.\nAminorroaya A, Fattahi N, Azadnajafabad S, Mohammadi E, Jamshidi K, Rouhifard Khalilabad M, et al. Burden of non-communicable diseases in Iran: past, present, and future. J Diabetes Metab Disord 2020 [Internet]. 2020 [cited 2021 Aug 6];1–7. Available from: https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40200-020-00669-z.\nSheidaei A, Gohari K, Kasaeian A, Rezaei N, Mansouri A, Khosravi A, et al. National and subnational patterns of cause of death in Iran 1990–2015: applied methods. Arch Iran Med. 2017;20:2–11.\nHealth system performance in Iran. a systematic analysis for the Global Burden of Disease Study 2019. Lancet (London, England). 2022;399:1625–45.\nThurlow JS, Joshi M, Yan G, Norris KC, Agodoa LY, Yuan CM, et al. Global epidemiology of end-stage kidney disease and disparities in kidney replacement therapy. Am J Nephrol [Internet]. 2021 [cited 2021 Aug 5];52:98–107. Available from: https:\u002F\u002Fwww.karger.com\u002FArticle\u002FFullText\u002F514550.\nNafar M, Mousavi SM, Mahdavi M, Pour-Reza-Gholi F. Burden of Chronic Kidney Disease in Iran a screening program is of essential need. Iran J Kidney Dis. 2008;2:183.\nDanaei G, Farzadfar F, Kelishadi R, Rashidian A, Rouhani OM, Ahmadnia S, et al. Iran in transition. Lancet. Lancet Publishing Group; 2019. p. 1984–2005.",{"VOID":1666},"10.1007\u002Fs40200-023-01298-y","2024-05-15T18:41:03.925+00:00","https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs40200-023-01298-y",[1670,1695,1710,1730,1746,1768,1781,1794,1816,1829,1852,1866,1881,1895,1916],{"id":1671,"sortIndex":19,"researcher":18,"roles":1672,"affiliations":1673,"properties":1690,"displayName":1692,"givenName":18,"familyName":18},"fa64810e-2f65-4989-8c4c-6c31a2203908",[160],[1674,1682],{"id":1675,"sortIndex":19,"affiliation":1676,"properties":18},"6f7a5b23-df0a-453b-90be-f3722cf70456",{"id":1675,"createTime":18,"updateTime":18,"relativeEntities":1677,"slug":18,"properties":1678,"entityType":18,"verifyStatus":18,"verifyTime":18,"verifyNote":18,"languages":18,"translateLanguages":18,"viewCount":18,"url":18,"parentIds":1681,"statistic":18},[],{"title":1679},{"VI":1680},"Osteoporosis Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical 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