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Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study
BACKGROUND: There is increasing attention on the association of socioeconomic status and individual behaviors (SES/IB) with mental health. However, the impacts of SES/IB on mental disorders are still unclear. To provide evidence for establishing feasible strategies on disease screening and preventio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158396/ https://www.ncbi.nlm.nih.gov/pubmed/35431011 http://dx.doi.org/10.1192/j.eurpsy.2022.18 |
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author | Cai, Jiahao Wei, Zixin Chen, Ming He, Lei Wang, Hongxuan Li, Mei Peng, Ying |
author_facet | Cai, Jiahao Wei, Zixin Chen, Ming He, Lei Wang, Hongxuan Li, Mei Peng, Ying |
author_sort | Cai, Jiahao |
collection | PubMed |
description | BACKGROUND: There is increasing attention on the association of socioeconomic status and individual behaviors (SES/IB) with mental health. However, the impacts of SES/IB on mental disorders are still unclear. To provide evidence for establishing feasible strategies on disease screening and prevention, we implemented Mendelian randomization (MR) design to appraise causality between SES/IB and mental disorders. METHODS: We conducted a two-sample MR study to assess the causal effects of SES and IB (dietary habits, habitual physical activity, smoking behaviors, drinking behaviors, sleeping behaviors, leisure sedentary behaviors, risky behaviors, and reproductive behaviors) on three mental disorders, including bipolar disorder, major depressive disorder and schizophrenia. A series of filtering steps were taken to select eligible genetic instruments robustly associated with each of the traits. Inverse variance weighted was used for primary analysis, with alternative MR methods including MR-Egger, weighted median, and weighted mode estimate. Complementary methods were further used to detect pleiotropic bias. RESULTS: After Bonferroni correction and rigorous quality control, we identified that SES (educational attainment), smoking behaviors (smoking initiation, number of cigarettes per day), risky behaviors (adventurousness, number of sexual partners, automobile speeding propensity) and reproductive behavior (age at first birth) were causally associated with at least one of the mental disorders. CONCLUSIONS: MR study provides robust evidence that SES/IB play broad impacts on mental disorders. |
format | Online Article Text |
id | pubmed-9158396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91583962022-06-16 Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study Cai, Jiahao Wei, Zixin Chen, Ming He, Lei Wang, Hongxuan Li, Mei Peng, Ying Eur Psychiatry Research Article BACKGROUND: There is increasing attention on the association of socioeconomic status and individual behaviors (SES/IB) with mental health. However, the impacts of SES/IB on mental disorders are still unclear. To provide evidence for establishing feasible strategies on disease screening and prevention, we implemented Mendelian randomization (MR) design to appraise causality between SES/IB and mental disorders. METHODS: We conducted a two-sample MR study to assess the causal effects of SES and IB (dietary habits, habitual physical activity, smoking behaviors, drinking behaviors, sleeping behaviors, leisure sedentary behaviors, risky behaviors, and reproductive behaviors) on three mental disorders, including bipolar disorder, major depressive disorder and schizophrenia. A series of filtering steps were taken to select eligible genetic instruments robustly associated with each of the traits. Inverse variance weighted was used for primary analysis, with alternative MR methods including MR-Egger, weighted median, and weighted mode estimate. Complementary methods were further used to detect pleiotropic bias. RESULTS: After Bonferroni correction and rigorous quality control, we identified that SES (educational attainment), smoking behaviors (smoking initiation, number of cigarettes per day), risky behaviors (adventurousness, number of sexual partners, automobile speeding propensity) and reproductive behavior (age at first birth) were causally associated with at least one of the mental disorders. CONCLUSIONS: MR study provides robust evidence that SES/IB play broad impacts on mental disorders. Cambridge University Press 2022-04-18 /pmc/articles/PMC9158396/ /pubmed/35431011 http://dx.doi.org/10.1192/j.eurpsy.2022.18 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Cai, Jiahao Wei, Zixin Chen, Ming He, Lei Wang, Hongxuan Li, Mei Peng, Ying Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study |
title | Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study |
title_full | Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study |
title_fullStr | Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study |
title_full_unstemmed | Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study |
title_short | Socioeconomic status, individual behaviors and risk for mental disorders: A Mendelian randomization study |
title_sort | socioeconomic status, individual behaviors and risk for mental disorders: a mendelian randomization study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158396/ https://www.ncbi.nlm.nih.gov/pubmed/35431011 http://dx.doi.org/10.1192/j.eurpsy.2022.18 |
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