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Genetics and the geography of health, behaviour and attainment

Author

Listed:
  • Daniel W. Belsky

    (Columbia University Mailman School of Public Health
    Columbia University)

  • Avshalom Caspi

    (Duke University
    Duke University School of Medicine
    Duke University
    King’s College London)

  • Louise Arseneault

    (King’s College London)

  • David L. Corcoran

    (Duke University)

  • Benjamin W. Domingue

    (Stanford University)

  • Kathleen Mullan Harris

    (University of North Carolina at Chapel Hill)

  • Renate M. Houts

    (Duke University)

  • Jonathan S. Mill

    (University of Exeter Medical School)

  • Terrie E. Moffitt

    (Duke University
    Duke University School of Medicine
    Duke University
    King’s College London)

  • Joseph Prinz

    (Duke University)

  • Karen Sugden

    (Duke University)

  • Jasmin Wertz

    (Duke University)

  • Benjamin Williams

    (Duke University)

  • Candice L. Odgers

    (University of California at Irvine
    Duke University)

Abstract

Young people’s life chances can be predicted by characteristics of their neighbourhood1. Children growing up in disadvantaged neighbourhoods exhibit worse physical and mental health and suffer poorer educational and economic outcomes than children growing up in advantaged neighbourhoods. Increasing recognition that aspects of social inequalities tend, in fact, to be geographical inequalities2–5 is stimulating research and focusing policy interest on the role of place in shaping health, behaviour and social outcomes. Where neighbourhood effects are causal, neighbourhood-level interventions can be effective. Where neighbourhood effects reflect selection of families with different characteristics into different neighbourhoods, interventions should instead target families or individuals directly. To test how selection may affect different neighbourhood-linked problems, we linked neighbourhood data with genetic, health and social outcome data for >7,000 European-descent UK and US young people in the E-Risk and Add Health studies. We tested selection/concentration of genetic risks for obesity, schizophrenia, teen pregnancy and poor educational outcomes in high-risk neighbourhoods, including genetic analysis of neighbourhood mobility. Findings argue against genetic selection/concentration as an explanation for neighbourhood gradients in obesity and mental health problems. By contrast, modest genetic selection/concentration was evident for teen pregnancy and poor educational outcomes, suggesting that neighbourhood effects for these outcomes should be interpreted with care.

Suggested Citation

  • Daniel W. Belsky & Avshalom Caspi & Louise Arseneault & David L. Corcoran & Benjamin W. Domingue & Kathleen Mullan Harris & Renate M. Houts & Jonathan S. Mill & Terrie E. Moffitt & Joseph Prinz & Kare, 2019. "Genetics and the geography of health, behaviour and attainment," Nature Human Behaviour, Nature, vol. 3(6), pages 576-586, June.
  • Handle: RePEc:nat:nathum:v:3:y:2019:i:6:d:10.1038_s41562-019-0562-1
    DOI: 10.1038/s41562-019-0562-1
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    Cited by:

    1. Gailey, Samantha, 2022. "Moving to greener pastures: Health selection into neighborhood green space among a highly mobile and diverse population in California," Social Science & Medicine, Elsevier, vol. 315(C).
    2. Jakobsen, Andreas Lindegaard & Lund, Rolf Lyneborg, 2022. "Neighborhood social context and suicide mortality: A multilevel register-based 5-year follow-up study of 2.7 million individuals," Social Science & Medicine, Elsevier, vol. 311(C).
    3. Jaakko Pehkonen & Jutta Viinikainen & Jaana T. Kari & Petri Böckerman & Terho Lehtimäki & Olli Raitakari, 2021. "Birth weight and adult income: An examination of mediation through adult height and body mass," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2383-2398, September.
    4. Ojalehto, Elsa & Finkel, Deborah & Russ, Tom C. & Karlsson, Ida K. & Ericsson, Malin, 2023. "Influences of genetically predicted and attained education on geographic mobility and their association with mortality," Social Science & Medicine, Elsevier, vol. 324(C).

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