{"title":"社会经济地位、人格和主要精神障碍:一项双向孟德尔随机研究","authors":"Qiang Xu, Haonan Li, Dan Zhu","doi":"10.1038/s41537-024-00471-3","DOIUrl":null,"url":null,"abstract":"<p>Previous research has suggested a correlation between socioeconomic status (SES) and mental diseases, while personality traits may be associated with SES and the risk of mental disorders. However, the causal nature of these associations remains largely uncertain. Our Mendelian randomization (MR) study aims to explore the bidirectional causality between SES and mental disorders, as well as to evaluate the potential mediating role of personality in these associations. Using bidirectional MR approach, we assessed the causality between SES indicators and mental disorders. We then used a two-step MR method to further investigate whether and to what extent personality mediates the causal associations in Caucasians. The forward MR analyses identified that years of education, household income, age at first birth and the Townsend deprivation index had a causal association with at least one mental disorder. The reverse MR analyses identified causal effects of genetically predicted schizophrenia, bipolar disorder, and attention deficit/hyperactivity disorder on five SES indicators. Importantly, mediation analysis showed that neuroticism partly mediated the causality of household income and years of education on major depressive disorder, respectively. In brief, our study confirmed the bidirectional relationship between SES and mental disorders. We also revealed the role of neuroticism in mediating the association between SES and major depressive disorder, highlighting the importance of considering both socioeconomic and personality factors in mental health research and interventions.</p>","PeriodicalId":5,"journal":{"name":"ACS Applied Materials & Interfaces","volume":null,"pages":null},"PeriodicalIF":8.3000,"publicationDate":"2024-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Socioeconomic status, personality, and major mental disorders: a bidirectional Mendelian randomization study\",\"authors\":\"Qiang Xu, Haonan Li, Dan Zhu\",\"doi\":\"10.1038/s41537-024-00471-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Previous research has suggested a correlation between socioeconomic status (SES) and mental diseases, while personality traits may be associated with SES and the risk of mental disorders. However, the causal nature of these associations remains largely uncertain. Our Mendelian randomization (MR) study aims to explore the bidirectional causality between SES and mental disorders, as well as to evaluate the potential mediating role of personality in these associations. Using bidirectional MR approach, we assessed the causality between SES indicators and mental disorders. We then used a two-step MR method to further investigate whether and to what extent personality mediates the causal associations in Caucasians. The forward MR analyses identified that years of education, household income, age at first birth and the Townsend deprivation index had a causal association with at least one mental disorder. The reverse MR analyses identified causal effects of genetically predicted schizophrenia, bipolar disorder, and attention deficit/hyperactivity disorder on five SES indicators. Importantly, mediation analysis showed that neuroticism partly mediated the causality of household income and years of education on major depressive disorder, respectively. In brief, our study confirmed the bidirectional relationship between SES and mental disorders. 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引用次数: 0
摘要
以往的研究表明,社会经济地位(SES)与精神疾病之间存在相关性,而人格特质可能与社会经济地位和精神障碍的风险有关。然而,这些关联的因果关系在很大程度上仍不确定。我们的孟德尔随机化(MR)研究旨在探索 SES 与精神障碍之间的双向因果关系,并评估人格在这些关联中的潜在中介作用。我们采用双向 MR 方法评估了 SES 指标与精神障碍之间的因果关系。然后,我们采用两步磁共振法进一步研究了人格是否以及在多大程度上介导了白种人的因果关系。正向 MR 分析发现,教育年限、家庭收入、初生年龄和汤森贫困指数与至少一种精神障碍存在因果关系。反向磁共振分析发现,基因预测的精神分裂症、双相情感障碍和注意力缺陷/多动障碍对五个社会经济条件指标有因果关系。重要的是,中介分析表明,神经质分别在一定程度上中介了家庭收入和受教育年限对重度抑郁障碍的因果关系。简而言之,我们的研究证实了社会经济地位与精神障碍之间的双向关系。我们还揭示了神经质在调解社会经济地位与重度抑郁障碍之间的关系中的作用,从而强调了在心理健康研究和干预措施中同时考虑社会经济因素和人格因素的重要性。
Socioeconomic status, personality, and major mental disorders: a bidirectional Mendelian randomization study
Previous research has suggested a correlation between socioeconomic status (SES) and mental diseases, while personality traits may be associated with SES and the risk of mental disorders. However, the causal nature of these associations remains largely uncertain. Our Mendelian randomization (MR) study aims to explore the bidirectional causality between SES and mental disorders, as well as to evaluate the potential mediating role of personality in these associations. Using bidirectional MR approach, we assessed the causality between SES indicators and mental disorders. We then used a two-step MR method to further investigate whether and to what extent personality mediates the causal associations in Caucasians. The forward MR analyses identified that years of education, household income, age at first birth and the Townsend deprivation index had a causal association with at least one mental disorder. The reverse MR analyses identified causal effects of genetically predicted schizophrenia, bipolar disorder, and attention deficit/hyperactivity disorder on five SES indicators. Importantly, mediation analysis showed that neuroticism partly mediated the causality of household income and years of education on major depressive disorder, respectively. In brief, our study confirmed the bidirectional relationship between SES and mental disorders. We also revealed the role of neuroticism in mediating the association between SES and major depressive disorder, highlighting the importance of considering both socioeconomic and personality factors in mental health research and interventions.
期刊介绍:
ACS Applied Materials & Interfaces is a leading interdisciplinary journal that brings together chemists, engineers, physicists, and biologists to explore the development and utilization of newly-discovered materials and interfacial processes for specific applications. Our journal has experienced remarkable growth since its establishment in 2009, both in terms of the number of articles published and the impact of the research showcased. We are proud to foster a truly global community, with the majority of published articles originating from outside the United States, reflecting the rapid growth of applied research worldwide.