State-level macro-economic factors moderate the association of low income with brain structure and mental health in U.S. children.
State-level macro-economic factors moderate the association of low income with brain structure and mental health in U.S. children.
复制标题
DOI:
10.1038/s41467-023-37778-1
复制
发表时间:
2023-05-02
影响因子:
16.6
通讯作者:
McLaughlin, Katie A.
中科院分区:
文献类型:
--
作者:
Weissman, David G.;Hatzenbuehler, Mark L.;Cikara, Mina;Barch, Deanna M.;McLaughlin, Katie A.
Macrostructural characteristics, such as cost of living and state-level anti-poverty programs relate to the magnitude of socioeconomic disparities in brain development and mental health. In this study we leveraged data from the Adolescent Brain and Cognitive Development (ABCD) study from 10,633 9-11 year old youth (5115 female) across 17 states. Lower income was associated with smaller hippocampal volume and higher internalizing psychopathology. These associations were stronger in states with higher cost of living. However, in high cost of living states that provide more generous cash benefits for low-income families, socioeconomic disparities in hippocampal volume were reduced by 34%, such that the association of family income with hippocampal volume resembled that in the lowest cost of living states. We observed similar patterns for internalizing psychopathology. State-level anti-poverty programs and cost of living may be confounded with other factors related to neurodevelopment and mental health. However, the patterns were robust to controls for numerous state-level social, economic, and political characteristics. These findings suggest that state-level macrostructural characteristics, including the generosity of anti-poverty policies, are potentially relevant for addressing the relationship of low income with brain development and mental health. Lower income is associated with smaller hippocampal volume and mental health problems. Here, the authors show that this association is weaker in areas of the United States that are less expensive or that have a stronger social safety net.
登录
查看更多内容
影响因子:
0.7
作者:
Averett, Susan;Wang, Yang
通讯作者:
Wang, Yang
影响因子:
4.7
作者:
Casey BJ;Cannonier T;Conley MI;Cohen AO;Barch DM;Heitzeg MM;Soules ME;Teslovich T;Dellarco DV;Garavan H;Orr CA;Wager TD;Banich MT;Speer NK;Sutherland MT;Riedel MC;Dick AS;Bjork JM;Thomas KM;Chaarani B;Mejia MH;Hagler DJ Jr;Daniela Cornejo M;Sicat CS;Harms MP;Dosenbach NUF;Rosenberg M;Earl E;Bartsch H;Watts R;Polimeni JR;Kuperman JM;Fair DA;Dale AM;ABCD Imaging Acquisition Workgroup
通讯作者:
ABCD Imaging Acquisition Workgroup
影响因子:
4.8
作者:
Jenkins, Lisanne M.;Chiang, Jessica J.;Miller, Gregory E.
通讯作者:
Miller, Gregory E.
影响因子:
120.7
作者:
Costello, EJ;Compton, SN;Angold, A
通讯作者:
Angold, A
影响因子:
3.8
作者:
Bitler, Marianne;Hoynes, Hilary;Kuka, Elira
通讯作者:
Kuka, Elira