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Pre- and Postnatal Factors Obtained from Health Records

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Instruments for Health Surveys in Children and Adolescents

Abstract

Collection of secondary data on an individual level, e.g. from official sources, may complement primary data from questionnaires and examinations in epidemiological field studies. Retrieval of individual-level secondary data thus represents an important step to constitute a comprehensive epidemiological database: secondary health data potentially represent an added value for the inference of causal relationships because they provide information without recall bias. In the IDEFICS/I.Family studies, health records of routine child visits reaching back to birth as well as medical records for the prenatal period were collected. Several studies suggest that both intra-uterine and early infancy growth may influence the development of overweight during childhood, adolescence and even adulthood (Poston 2012). The IDEFICS/I.Family studies were conducted in different cultural settings using a standardised protocol that sometimes needed adaptation to local characteristics. The latter was the case for the documentation of routine child visits and maternity cards that varied across countries with regard to data sources and the type of information recorded. This chapter summarises the methodology of retrieval and harmonisation of secondary health data in the IDEFICS/I.Family studies and describes the differences and similarities of these records across countries.

On behalf of the IDEFICS and I.Family consortia

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References

  • Bammann K, Peplies J, De Henauw S, Hunsberger M, Molnar D, Moreno LA, et al. IDEFICS consortium. Early life course risk factors for childhood obesity: the IDEFICS case-control study. PLoS ONE. 2014;9(2):e86914.

    Article  Google Scholar 

  • Boney CM, Verma A, Tucker R, Vohr BR. Metabolic syndrome in childhood: association with birth weight, maternal obesity, and gestational diabetes mellitus. Pediatrics. 2005;115:e290–6.

    Article  Google Scholar 

  • Börnhorst C, Tilling K, Russo P, Kourides Y, Michels N, Molnár D, et al. IDEFICS consortium. Associations between early body mass index trajectories and later metabolic risk factors in European children: the IDEFICS study. Eur J Epidemiol. 2016a;31(5):513–25.

    Article  Google Scholar 

  • Börnhorst C, Siani A, Russo P, Kourides Y, Sion I, Molnár D, et al. Early life factors and inter-country heterogeneity in BMI growth trajectories of European children: the IDEFICS study. PLoS ONE. 2016b;11(2):e0149268.

    Article  Google Scholar 

  • Börnhorst C, Siani A, Tornaritis M, Molnár D, Lissner L, Regber S, et al. IDEFICS and I. Family consortia. Potential selection effects when estimating associations between the infancy peak or adiposity rebound and later body mass index in children. Int J Obes (Lond). 2017;41(4):518–26.

    Article  Google Scholar 

  • Buck C, Tkaczick T, Pitsiladis Y, De Bourdeaudhuij I, Reisch L, Ahrens W, et al. Objective measures of the built environment and physical activity in children: from walkability to moveability. J Urban Health. 2015;92(1):24–38.

    Article  Google Scholar 

  • Buka SL, Goldstein JM, Spartos E, Tsuang MT. The retrospective measurement of prenatal and perinatal events: accuracy of maternal recall. Schizophr Res. 2004;71:417–26.

    Article  Google Scholar 

  • Catov JM, Newman AB, Kelsey SF, Roberts JM, Sutton-Tyrrell KC, Garcia M, et al. Accuracy and reliability of maternal recall of infant birth weight among older women. Ann Epidemiol. 2006;16:429–31.

    Article  Google Scholar 

  • Chivers P, Hands B, Parker H, Bulsara M, Beilin LJ, Kendall GE, et al. Body mass index, adiposity rebound and early feeding in a longitudinal cohort (Raine Study). Int J Obes (Lond). 2010;34:1169–76.

    Article  Google Scholar 

  • Cupul-Uicab LA, Gladen BC, Hernández-Avila M, Longnecker MP. Reliability of reported breastfeeding duration among reproductive-aged women from Mexico. Matern Child Nutr. 2009;5:125–37.

    Article  Google Scholar 

  • Das S, Irigoyen M, Patterson MB, Salvador A, Schutzman DL. Neonatal outcomes of macrosomic births in diabetic and non-diabetic women. Arch Dis Child Fetal Neonatal Ed. 2009;94:F419–22.

    Article  Google Scholar 

  • Dello Russo M, Ahrens W, De Vriendt T, Mårild S, Molnár D, Moreno LA, et al. IDEFICS consortium. Gestational weight gain and adiposity, fat distribution, metabolic profile, and blood pressure in offspring: the IDEFICS project. Int J Obes (Lond). 2013;37(7):914–9.

    Article  Google Scholar 

  • Druet C, Ong KK. Early childhood predictors of adult body composition. Best Pract Res Clin Endocrinol Metab. 2008;22:489–502.

    Article  Google Scholar 

  • Dubois L, Girad M. Accuracy of maternal reports of pre-schoolers’ weights and heights as estimates of BMI values. Int J Epidemiol. 2007;36:132–8.

    Article  Google Scholar 

  • Elliott JP, Desch C, Istwan NB, Rhea D, Collins AM, Stanziano GJ. The reliability of patient-reported pregnancy outcome data. Popul Health Manage. 2010;13:27–32.

    Article  Google Scholar 

  • Evagelidou EN, Kiortsis DN, Bairaktari ET, Giapros VI, Cholevas VK, Tzallas CS, et al. Lipid profile, glucose homeostasis, blood pressure, and obesity-anthropometric markers in macrosomic offspring of nondiabetic mothers. Diabetes Care. 2006;29(6):1197–201.

    Article  Google Scholar 

  • Gillman MW, Rifas-Shiman S, Berkey CS, Field AE, Colditz GA. Maternal gestational diabetes, birth weight, and adolescent obesity. Pediatrics. 2003;111:e221–6.

    Article  Google Scholar 

  • Harder T, Roepke K, Diller N, Stechling Y, Dudenhausen JW, Plagemann A. Birth weight, early weight gain, and subsequent risk of type 1 diabetes: systematic review and meta-analysis. Am J Epidemiol. 2009;169:1428–36.

    Article  Google Scholar 

  • Herrmann D, Suling M, Reisch L, Siani A, De Bourdeaudhuij I, Maes L, et al. IDEFICS consortium. Repeatability of maternal report on prenatal, perinatal and early postnatal factors: findings from the IDEFICS parental questionnaire. Int J Obes (Lond). 2011;35(Suppl 1):S52–60.

    Article  Google Scholar 

  • Mamun AA, Mannan M, Doi SA. Gestational weight gain in relation to offspring obesity over the life course: a systematic review and bias-adjusted meta-analysis. Obes Rev. 2014;15(4):338–47.

    Article  Google Scholar 

  • Matthews EK, Wei J, Cunningham SA. Relationship between prenatal growth, postnatal growth and childhood obesity: a review. Eur J Clin Nutr. 2017;71(8):919–30.

    Article  Google Scholar 

  • Philipps LH, Santhakumaran S, Gale C, Prior E, Logan KM, Hyde MJ, et al. The diabetic pregnancy and offspring BMI in childhood: a systematic review and meta-analysis. Diabetologia. 2011;54:1957–66.

    Article  Google Scholar 

  • Pohlabeln H, Rach S, De Henauw S, Eiben G, Gwozdz W, Hadjigeorgiou C, et al. IDEFICS consortium. Further evidence for the role of pregnancy-induced hypertension and other early life influences in the development of ADHD: results from the IDEFICS study. Eur Child Adolesc Psychiatry. 2017;26(8):957–67.

    Article  Google Scholar 

  • Poston L. Maternal obesity, gestational weight gain and diet as determinants of offspring long term health. Best Pract Res Clin Endocrinol Metab. 2012;26:627–39.

    Article  Google Scholar 

  • Rasmussen KM, Yaktine AL, editors. Institute of Medicine (US) and National Research Council (US) Committee to reexamine IOM pregnancy weight guidelines. Weight gain during pregnancy: reexamining the guidelines. Washington, DC: National Academies Press; 2009.

    Google Scholar 

  • Reeske A, Spallek J, Bammann K, Eiben G, De Henauw S, Kourides Y, et al. Migrant background and weight gain in early infancy: results from the German study sample of the IDEFICS study. PLoS ONE. 2013;8(4):e60648.

    Article  Google Scholar 

  • Rice F, Lewis A, Harold G, van den Bree M, Boivin J, Hay DF, et al. 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.

    Article  Google Scholar 

  • Rutayisire E, Huang K, Liu Y, Tao F. The mode of delivery affects the diversity and colonization pattern of the gut microbiota during the first year of infants’ life: a systematic review. BMC Gastroenterol. 2016;16(1):86.

    Article  Google Scholar 

  • Saigal S, Doyle LW. An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet. 2008;371:261–9.

    Article  Google Scholar 

  • Schack-Nielsen L, Michaelsen KF, Gamborg M, Mortensen EL, Sørensen TI. Gestational weight gain in relation to offspring body mass index and obesity from infancy through adulthood. Int J Obes (Lond). 2010;34:67–74.

    Article  Google Scholar 

  • Singhal A. Long-term adverse effects of early growth acceleration or catch-up growth. Ann Nutr Metab. 2017;70(3):236–40.

    Article  Google Scholar 

  • Sparano S, Ahrens W, De Henauw S, Mårild S, Molnár D, Moreno LA, et al. Being macrosomic at birth is an independent predictor of overweight in children: results from the IDEFICS study. Matern Child Health J. 2013;17(8):1373–81.

    Article  Google Scholar 

  • Tamashiro KL, Moran TH. Perinatal environment and its influences on metabolic programming of offspring. Physiol Behav. 2010;100:560–6.

    Article  Google Scholar 

  • Taylor RW, Grant AM, Goulding A, Williams SM. Early adiposity rebound: review of papers linking this to subsequent obesity in children and adults. Curr Opin Clin Nutr Metab Care. 2005;8:607–12.

    Article  Google Scholar 

  • Tehranifar P, Liao Y, Flom JD, Terry MB. Validity of self-reported birth weight by adult women: sociodemographic influences and implications for life-course studies. Am J Epidemiol. 2009;170:910–7.

    Article  Google Scholar 

  • Terry MB, Flom J, Tehranifar P, Susser E. The role of birth cohorts in studies of adult health: the New York women’s birth cohort. Paediatr Perinat Epidemiol. 2009;23:431–45.

    Article  Google Scholar 

  • Van den Bussche K, Michels N, Gracia-Marco L, Herrmann D, Eiben G, De Henauw S, et al. Influence of birth weight on calcaneal bone stiffness in Belgian preadolescent children. Calcif Tissue Int. 2012;91:267–75.

    Article  Google Scholar 

  • Wells JC, Chomtho S, Fewtrell MS. Programming of body composition by early growth and nutrition. Proc Nutr Soc. 2007;66:423–34.

    Article  Google Scholar 

  • Yu ZB, Han SP, Zhu GZ, Zhu C, Wang XJ, Cao XG, et al. Birth weight and subsequent risk of obesity: a systematic review and meta-analysis. Obes Rev. 2011;12(7):525–42.

    Article  Google Scholar 

Download references

Acknowledgements

This chapter is based on a draft that was created by Gianvincenzo Barba from the Institute of Food Sciences, National Research Council (Avellino, Italy). Gianni unexpectedly passed away before this chapter was completed. He played a prominent part in the harmonisation of data from routine child visits and maternity cards across the countries collecting data for the IDEFICS/I.Family cohort. We are grateful for his valuable contributions.

The development of instruments, the baseline data collection and the first follow-up work as part of the IDEFICS study (www.idefics.eu) were financially supported by the European Commission within the Sixth RTD Framework Programme Contract No. 016,181 (FOOD). The most recent follow-up including the development of new instruments and the adaptation of previously used instruments was conducted in the framework of the I.Family study (www.ifamilystudy.eu) which was funded by the European Commission within the Seventh RTD Framework Programme Contract No. 266044 (KBBE 2010–14).

We thank all families for participating in the extensive examinations of the IDEFICS and I.Family studies. We are also grateful for the support from school boards, headmasters and communities.

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Correspondence to Wolfgang Ahrens .

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Ahrens, W., Lauria, F., Formisano, A., Moreno, L.A., Pigeot, I. (2019). Pre- and Postnatal Factors Obtained from Health Records. In: Bammann, K., Lissner, L., Pigeot, I., Ahrens, W. (eds) Instruments for Health Surveys in Children and Adolescents. Springer Series on Epidemiology and Public Health. Springer, Cham. https://doi.org/10.1007/978-3-319-98857-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-98857-3_8

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