Exploring the influences of education, intelligence and income on mental disorders

IF 6.8 3区 医学 Q1 PSYCHIATRY General Psychiatry Pub Date : 2024-02-01 DOI:10.1136/gpsych-2023-101080
Ancha Baranova, Hongbao Cao, Fuquan Zhang
{"title":"Exploring the influences of education, intelligence and income on mental disorders","authors":"Ancha Baranova, Hongbao Cao, Fuquan Zhang","doi":"10.1136/gpsych-2023-101080","DOIUrl":null,"url":null,"abstract":"Background Previous studies have shown that educational attainment (EA), intelligence and income are key factors associated with mental disorders. However, the direct effects of each factor on major mental disorders are unclear. Aims We aimed to evaluate the overall and independent causal effects of the three psychosocial factors on common mental disorders. Methods Using genome-wide association study summary datasets, we performed Mendelian randomisation (MR) and multivariable MR (MVMR) analyses to assess potential associations between the 3 factors (EA, N=766 345; household income, N=392 422; intelligence, N=146 808) and 13 common mental disorders, with sample sizes ranging from 9907 to 807 553. Inverse-variance weighting was employed as the main method in the MR analysis. Results Our MR analysis showed that (1) higher EA was a protective factor for eight mental disorders but contributed to anorexia nervosa, obsessive-compulsive disorder (OCD), bipolar disorder (BD) and autism spectrum disorder (ASD); (2) higher intelligence was a protective factor for five mental disorders but a risk factor for OCD and ASD; (3) higher household income protected against 10 mental disorders but confers risk for anorexia nervosa. Our MVMR analysis showed that (1) higher EA was a direct protective factor for attention-deficit/hyperactivity disorder (ADHD) and insomnia but a direct risk factor for schizophrenia, BD and ASD; (2) higher intelligence was a direct protective factor for schizophrenia but a direct risk factor for major depressive disorder (MDD) and ASD; (3) higher income was a direct protective factor for seven mental disorders, including schizophrenia, BD, MDD, ASD, post-traumatic stress disorder, ADHD and anxiety disorder. Conclusions Our study reveals that education, intelligence and income intertwine with each other. For each factor, its independent effects on mental disorders present a more complex picture than its overall effects. No data are available.","PeriodicalId":12549,"journal":{"name":"General Psychiatry","volume":"12 1","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"General Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/gpsych-2023-101080","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Background Previous studies have shown that educational attainment (EA), intelligence and income are key factors associated with mental disorders. However, the direct effects of each factor on major mental disorders are unclear. Aims We aimed to evaluate the overall and independent causal effects of the three psychosocial factors on common mental disorders. Methods Using genome-wide association study summary datasets, we performed Mendelian randomisation (MR) and multivariable MR (MVMR) analyses to assess potential associations between the 3 factors (EA, N=766 345; household income, N=392 422; intelligence, N=146 808) and 13 common mental disorders, with sample sizes ranging from 9907 to 807 553. Inverse-variance weighting was employed as the main method in the MR analysis. Results Our MR analysis showed that (1) higher EA was a protective factor for eight mental disorders but contributed to anorexia nervosa, obsessive-compulsive disorder (OCD), bipolar disorder (BD) and autism spectrum disorder (ASD); (2) higher intelligence was a protective factor for five mental disorders but a risk factor for OCD and ASD; (3) higher household income protected against 10 mental disorders but confers risk for anorexia nervosa. Our MVMR analysis showed that (1) higher EA was a direct protective factor for attention-deficit/hyperactivity disorder (ADHD) and insomnia but a direct risk factor for schizophrenia, BD and ASD; (2) higher intelligence was a direct protective factor for schizophrenia but a direct risk factor for major depressive disorder (MDD) and ASD; (3) higher income was a direct protective factor for seven mental disorders, including schizophrenia, BD, MDD, ASD, post-traumatic stress disorder, ADHD and anxiety disorder. Conclusions Our study reveals that education, intelligence and income intertwine with each other. For each factor, its independent effects on mental disorders present a more complex picture than its overall effects. No data are available.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
探讨教育、智力和收入对精神障碍的影响
背景 以往的研究表明,教育程度(EA)、智力和收入是与精神障碍相关的关键因素。然而,各因素对主要精神障碍的直接影响尚不明确。目的 我们旨在评估这三个社会心理因素对常见精神障碍的整体和独立因果效应。方法 我们利用全基因组关联研究汇总数据集,进行了孟德尔随机化(MR)和多变量 MR(MVMR)分析,以评估这三个因素(EA,766 345 人;家庭收入,392 422 人;智力,146 808 人)与 13 种常见精神障碍之间的潜在关联,样本量从 9907 个到 807 553 个不等。MR 分析主要采用反方差加权法。结果 我们的磁共振分析表明:(1) 较高的 EA 是 8 种精神障碍的保护因素,但会导致神经性厌食症、强迫症、双相情感障碍和自闭症谱系障碍;(2) 较高的智力是 5 种精神障碍的保护因素,但会成为强迫症和自闭症谱系障碍的风险因素;(3) 较高的家庭收入可预防 10 种精神障碍,但会带来神经性厌食症的风险。我们的 MVMR 分析表明:(1) 较高的 EA 是注意力缺陷/多动障碍(ADHD)和失眠症的直接保护因素,但却是精神分裂症、BD 和 ASD 的直接风险因素;(2) 较高的智力是精神分裂症的直接保护因素,但却是重度抑郁障碍(MDD)和 ASD 的直接风险因素;(3) 较高的收入是精神分裂症、BD、MDD、ASD、创伤后应激障碍、ADHD 和焦虑症等七种精神障碍的直接保护因素。结论 我们的研究表明,教育、智力和收入相互交织。就每个因素而言,其对精神障碍的独立影响比其总体影响更复杂。暂无数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
General Psychiatry
General Psychiatry 医学-精神病学
CiteScore
21.90
自引率
2.50%
发文量
848
期刊介绍: General Psychiatry (GPSYCH), an open-access journal established in 1959, has been a pioneer in disseminating leading psychiatry research. Addressing a global audience of psychiatrists and mental health professionals, the journal covers diverse topics and publishes original research, systematic reviews, meta-analyses, forums on topical issues, case reports, research methods in psychiatry, and a distinctive section on 'Biostatistics in Psychiatry'. The scope includes original articles on basic research, clinical research, community-based studies, and ecological studies, encompassing a broad spectrum of psychiatric interests.
期刊最新文献
A literature review of dementia literacy in China: From awareness to action as a driver of the 2024-2030 National Dementia Action Plan. Peer bullying victimisation and depressive symptoms as serial mediators between attention-deficit/hyperactivity disorder symptoms and internet gaming disorder among Chinese adolescents: A three-wave longitudinal study. Resting-state connectivity and tobacco smoking in clinical high-risk for psychosis (NAPLS-3). Threshold effects of serum 25-hydroxyvitamin D levels on major depressive symptoms. Dementia risk prediction in individuals with prediabetes or diabetes: A novel multi-protein score with biological pathway analysis.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1