PlumX Metrics
Embed PlumX Metrics

Genetics and the geography of health, behaviour and attainment

Nature Human Behaviour, ISSN: 2397-3374, Vol: 3, Issue: 6, Page: 576-586
2019
  • 61
    Citations
  • 0
    Usage
  • 183
    Captures
  • 4
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    61
  • Captures
    183
  • Mentions
    4
    • Blog Mentions
      2
      • Blog
        2
    • News Mentions
      2
      • News
        2

Most Recent Blog

Far apart

Income inequality 

Most Recent News

Is it genetic code or postal code that influence a child's life chances?

Most children inherit both their postal code and their genetic code from their parents. But if genetic factors influence where families are able to live and children's health and educational success, improving neighborhoods may not be enough. Latest research provides new insights into the highly debated question of whether the neighborhoods that children live in influence their health and life cha

Letter Description

Young people’s life chances can be predicted by characteristics of their neighbourhood. 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 inequalities 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.

Bibliographic Details

Belsky, Daniel W; Caspi, Avshalom; Arseneault, Louise; Corcoran, David L; Domingue, Benjamin W; Harris, Kathleen Mullan; Houts, Renate M; Mill, Jonathan S; Moffitt, Terrie E; Prinz, Joseph; Sugden, Karen; Wertz, Jasmin; Williams, Benjamin; Odgers, Candice L

Springer Science and Business Media LLC

Psychology; Neuroscience

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know