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The association between cognitive ability and body mass index: A sibling-comparison analysis in four longitudinal studies

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  • Liam Wright
  • Neil M Davies
  • David Bann

Abstract

Background: Body mass index (BMI) and obesity rates have increased sharply since the 1980s. While multiple epidemiologic studies have found that higher adolescent cognitive ability is associated with lower adult BMI, residual and unobserved confounding due to family background may explain these associations. We used a sibling design to test this association accounting for confounding factors shared within households. Methods and findings: We used data from four United States general youth population cohort studies: the National Longitudinal Study of Youth 1979 (NLSY-79), the NLSY-79 Children and Young Adult, the NLSY 1997 (NLSY-97), and the Wisconsin Longitudinal Study (WLS); a total of 12,250 siblings from 5,602 households followed from adolescence up to age 62. We used random effects within-between (REWB) and residualized quantile regression (RQR) models to compare between- and within-family estimates of the association between adolescent cognitive ability and adult BMI (20 to 64 years). In REWB models, moving from the 25th to 75th percentile of adolescent cognitive ability was associated with −0.95 kg/m2 (95% CI = −1.21, −0.69) lower BMI between families. Adjusting for family socioeconomic position reduced the association to −0.61 kg/m2 (−0.90, −0.33). However, within families, the association was just −0.06 kg/m2 (−0.35, 0.23). This pattern of results was found across multiple specifications, including analyses conducted in separate cohorts, models examining age-differences in association, and in RQR models examining the association across the distribution of BMI. Limitations include the possibility that within-family estimates are biased due to measurement error of the exposure, confounding via non-shared factors, and carryover effects. Conclusions: The association between high adolescent cognitive ability and low adult BMI was substantially smaller in within-family compared with between-family analysis. The well-replicated associations between cognitive ability and subsequent BMI may largely reflect confounding by family background factors. Liam Wright and colleagues investigate the association between adolescent cognitive ability and adult body mass index using a sibling design that accounts for confounding factors within households.Why was this study done?: What did the researchers do and find?: What do these findings mean?:

Suggested Citation

  • Liam Wright & Neil M Davies & David Bann, 2023. "The association between cognitive ability and body mass index: A sibling-comparison analysis in four longitudinal studies," PLOS Medicine, Public Library of Science, vol. 20(4), pages 1-18, April.
  • Handle: RePEc:plo:pmed00:1004207
    DOI: 10.1371/journal.pmed.1004207
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    1. repec:osf:socarx:42gcb_v1 is not listed on IDEAS
    2. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    3. Asta Breinholt & Dalton Conley, 2020. "Child-Driven Parenting: Differential Early Childhood Investment by Offspring Genotype," NBER Working Papers 28217, National Bureau of Economic Research, Inc.
    4. Titus J. Galama & Adriana Lleras-Muney & Hans van Kippersluis, 2018. "The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence," NBER Working Papers 24225, National Bureau of Economic Research, Inc.
    5. Nicole Au & David W. Johnston, 2015. "Too Much of a Good Thing? Exploring the Impact of Wealth on Weight," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1403-1421, November.
    6. Borgen, Nicolai T. & Haupt, Andreas & Wiborg, Øyvind N., 2021. "A New Framework for Estimation of Unconditional Quantile Treatment Effects: The Residualized Quantile Regression (RQR) Model," SocArXiv 42gcb, Center for Open Science.
    7. Bratsberg, Bernt & Rogeberg, Ole, 2017. "Childhood socioeconomic status does not explain the IQ-mortality gradient," Intelligence, Elsevier, vol. 62(C), pages 148-154.
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