KUNO-Kids birth cohort study: rationale, design, and cohort description

Springer Science and Business Media LLC - Tập 6 - Trang 1-10 - 2019
Susanne Brandstetter1, Antoaneta A. Toncheva1, Jakob Niggel1, Christine Wolff1, Silvia Gran1, Birgit Seelbach-Göbel2, Christian Apfelbacher3, Michael Melter1, Michael Kabesch1
1University Children’s Hospital Regensburg (KUNO-Clinics), University of Regensburg, Regensburg, Germany
2Clinic of Obstetrics and Gynecology St. Hedwig, University of Regensburg, Regensburg, Germany
3Medical Sociology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany

Tóm tắt

Birth cohort studies can contribute substantially to the understanding of health and disease — in childhood and over the life course. The KUNO-Kids birth cohort study was established to investigate various aspects of child health, using novel omics technologies in a systems medicine approach. After 3 years of recruitment, 2515 infants and their families have joined the study. Parents with higher education are overrepresented as in many other birth cohorts and are more likely to complete follow-up assessments via self-report questionnaires. The vast majority of participants consented to clinical examinations of their child and to the non-invasive collection of diverse biosamples, which were processed specifically for their integrated use in omics technology covering genomics, epigenomics, transcriptomics, metabolomics, and microbiome analyses of the skin, oral cavity, and stool. The data and diverse biomaterial collected in the KUNO-Kids birth cohort study will provide extensive opportunities for investigating child health and its determinants in a holistic approach. The combination of a broad range of research questions in one study will allow for a cost-effective use of biomaterial and omics results and for a comprehensive analysis of biological and social determinants of health and disease. Aiming for low attrition and ensuring participants’ long-term commitment will be crucial to fully exploit the potential of the study.

Tài liệu tham khảo

Richmond RC, Al-Amin A, Smith GD et al (2014) Approaches for drawing causal inferences from epidemiological birth cohorts: a review. Early Hum Dev 90:769–780

Power C, Kuh D, Morton S (2013) From developmental origins of adult disease to life course research on adult disease and aging: insights from birth cohort studies. Annu Rev Public Health 34:7–28

Larsen PS, Kamper-Jorgensen M, Adamson A et al (2013) Pregnancy and birth cohort resources in europe: a large opportunity for aetiological child health research. Paediatr Perinat Epidemiol 27:393–414

Piler P, Kandrnal V, Blaha L (2017) Critical assessment of the research outcomes of European birth cohorts: linking environmental factors with non-communicable diseases. Public Health 145:136–145

Vrijheid M, Casas M, Bergstrom A et al (2012) European birth cohorts for environmental health research. Environ Health Perspect 120:29–37

Bunning M (2015) What happens after the ‘Daddy Months’? Fathers’ involvement in paid work, childcare, and housework after taking parental leave in Germany. Eur Sociol Rev 31:738–748

Oecd (2017). [Dare to share - Germany's experience promoting equal partnership in families] Doi.org/10.1787/9789264263420-4-de

Bmfsfj (2016). [Family and early education] www.bmfsfj.de/bmfsfj/servide/publikationen/familie-und-fruehe-bildung/112460

Federal Statistical Office (Destatis) (2017). [Childlessness, births and families. Results from Mikrozensus 2016] https://www.destatis.de/DE/Publikationen/Thematisch/Bevoelkerung/HaushalteMikrozensus/GeburtentrendsTabellenband5122203169014.pdf?__blob=publicationFile

Coyne SM, Radesky J, Collier KM et al (2017) Parenting and digital media. Pediatrics 140:S112–S116

Medienpädagogischer Forschungsverbund Südwest (Mpfs) (2016). [Family, Interaction, Media (FIM study)] www.mpfs.de/studien/fim-studie/2016

Heals Consortium Health and Environment-wide Associations based on Large population Surveys. The Largest Research Project In Europe On Environment And Health www.heals-eu.eu

Regierung Der Oberpfalz (2018). Oberpfalz in Zahlen [Upper Palatinate in Figures] www.regierung.oberpfalz.bayern.de/landesplanung/statistik/oiz_kompakt.pdf

City of Regensburg DOS (2017). Statistisches Jahrbuch 2017 [Statistical Yearbook 2017] http://www.statistik.regensburg.de/

Braig S, Weiss JM, Stalder T et al (2017) Maternal prenatal stress and child atopic dermatitis up to age 2 years: the Ulm SPATZ health study. Pediatr Allergy Immunol 28:144–151

Logan C, Zittel T, Striebel S et al (2016) Changing societal and lifestyle factors and breastfeeding patterns over time. Pediatrics 137

Kurth BM, Kamtsiuris P, Holling H et al (2008) The challenge of comprehensively mapping children's health in a nation-wide health survey: design of the German KiGGS-study. BMC Public Health 8:196

Genuneit J, Cantelmo JL, Weinmayr G et al (2009) A multi-Centre study of candidate genes for wheeze and allergy: the international study of asthma and allergies in childhood phase 2. Clin Exp Allergy 39:1875–1888

Quante M, Hesse M, Dohnert M et al (2012) The LIFE child study: a life course approach to disease and health. BMC Public Health 12:1021

Gemeinsamer Bundesausschuss (G-Ba) [Federal Joint Committee (G-Ba)] Richtlinie des Gemeinsamen Bundesausschusses über die Früherkennung von Krankheiten bei Kindern (Kinder-Richtlinie) [Guideline of the Federal Joint Committee on early diagonsis and screening of diseases in children] https://www.g-ba.de/downloads/62-492-1537/RL_Kinder_2017-10-19_iK-2018-03-16.pdf

Coughlin SS (2014) Toward a road map for global -omics: a primer on -omic technologies. Am J Epidemiol 180:1188–1195

Lopez De Maturana E, Pineda S, Brand A et al (2016) Toward the integration of omics data in epidemiological studies: still a “long and winding road”. Genet Epidemiol 40:558–569

Galea S, Tracy M (2007) Participation rates in epidemiologic studies. Ann Epidemiol 17:643–653

Statistisches Bundesamt [German Federal Statistical Office] Microcensus 2011, city and region Regensburg. Extrapolation for 2014

Grosser A, Razum O, Vrijkotte TG et al (2016) Inclusion of migrants and ethnic minorities in European birth cohort studies-a scoping review. Eur J Pub Health 26:984–991

Winkler V, Leitzmann M, Obi N et al (2014) Response in individuals with and without foreign background and application to the National Cohort in Germany: which factors have an effect? Int J Public Health 59:555–563

Arora A, Manohar N, Bedros D et al (2018) Lessons learnt in recruiting disadvantaged families to a birth cohort study. BMC Nurs 17:7

Brumatti LV, Montico M, Russian S et al (2013) Analysis of motivations that lead women to participate (or not) in a newborn cohort study. BMC Pediatr 13:53

Golding J, Birmingham K (2009) Enrolment and response rates in a longitudinal birth cohort. Paediatr Perinat Epidemiol 23:73–85

Spallek J, Grosser A, Holler-Holtrichter C et al (2017) Early childhood health in Bielefeld, Germany (BaBi study): study protocol of a social-epidemiological birth cohort. BMJ Open 7:e018398

Howe LD, Tilling K, Galobardes B et al (2013) Loss to follow-up in cohort studies: bias in estimates of socioeconomic inequalities. Epidemiology 24:1–9

Lash TL, Fox MP, Maclehose RF et al (2014) Good practices for quantitative bias analysis. Int J Epidemiol 43:1969–1985

Ebner A, Thyrian JR, Lange A et al (2010) Survey of neonates in Pomerania (SNiP): a population-based birth study--objectives, design and population coverage. Paediatr Perinat Epidemiol 24:190–199

Ernst SA, Gunther K, Frambach T et al (2015) Prenatal recruitment of participants for a birth cohort study including cord blood collection: results of a feasibility study in Bremen, Germany. Ger Med Sci 13:Doc04

Sørensen K, Van Den Broucke S, Pelikan JM et al (2013) Measuring health literacy in populations: illuminating the design and development process of the European health literacy survey questionnaire (HLS-EU-Q). BMC Public Health 13:948

Owens JA, Spirito A, Mcguinn M (2000) The Children’s sleep habits questionnaire (CSHQ): psychometric properties of a survey instrument for school-aged children. Sleep 23:1043–1051

Buysse DJ, Reynolds CF 3rd, Monk TH et al (1989) The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res 28:193–213

Tröster H (2010) Eltern-Belastungs-Inventar [parenting stress index] (manual). Hogrefe, Göttingen

Fydrich T, Sommer G, Brähler E (2007) Social support questionnaire (F-SozU). Manual. Hogrefe, Göttingen

Löwe B, Spitzer RL, Zipfel S, Herzog W (2002) PHQ-D Health Questionnaire for Patients. Manual. Pfizer GmbH, Karlsruhe

Ware J Jr, Kosinski M, Keller SD (1996) A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care 34:220–233

Thông tin
Thông tin xuất bản

Springer Science and Business Media LLC

Tập 6

1-10

Thông tin tác giả