TY - JOUR
T1 - Genetics and the geography of health, behaviour and attainment
AU - Belsky, Daniel W.
AU - Caspi, Avshalom
AU - Arseneault, Louise
AU - Corcoran, David L.
AU - Domingue, Benjamin W.
AU - Harris, Kathleen Mullan
AU - Houts, Renate M.
AU - Mill, Jonathan S.
AU - Moffitt, Terrie E.
AU - Prinz, Joseph
AU - Sugden, Karen
AU - Wertz, Jasmin
AU - Williams, Benjamin
AU - Odgers, Candice L.
PY - 2019/6/1
Y1 - 2019/6/1
N2 -
Young people’s life chances can be predicted by characteristics of their neighbourhood
1
. 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
2–5
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.
AB -
Young people’s life chances can be predicted by characteristics of their neighbourhood
1
. 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
2–5
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.
UR - http://www.scopus.com/inward/record.url?scp=85064093606&partnerID=8YFLogxK
U2 - 10.1038/s41562-019-0562-1
DO - 10.1038/s41562-019-0562-1
M3 - Letter
AN - SCOPUS:85064093606
SN - 2397-3374
VL - 3
SP - 576
EP - 586
JO - Nature Human Behaviour
JF - Nature Human Behaviour
IS - 6
ER -
