{"title":"饮酒与心理健康:遗传信息如何帮助解开它们之间的关系。","authors":"Rachel Visontay, M. P. van de Weijer, J. Treur","doi":"10.1159/000538454","DOIUrl":null,"url":null,"abstract":"BACKGROUND\nTraditional epidemiological evidence suggests various associations exist between alcohol and mental/cognitive health outcomes. However, whether these reflect causal relationships remains unclear. Mendelian randomization (MR) - a kind of instrumental variable analysis using genetic variants to proxy for an exposure of interest - has the potential to improve causal inference from observational data.\n\n\nSUMMARY\nIn the first part of this review, the challenges of causal inference in the field are discussed, and a theoretical and practical introduction to the technique of MR is given. Next, we report on literature searches performed to update a previous systematic review of MR studies evaluating alcohol-mental health relationships. Twelve relevant studies were identified and considered in the context of the 22 studies included in the previous review. While the reviewed MR literature suggests possible causal relationships/a lack thereof, for the most part, the nature of causal relationships between alcohol and mental health remains unclear.\n\n\nKEY MESSAGES\nMR is beginning to yield valuable insights into the causal effects of (problematic) alcohol consumption on mental and cognitive health outcomes. Future studies must be mindful of the technique's underlying assumptions and should allow for potential nonlinearity in relationships. Triangulating across sensitivity methods within MR studies, as well as between MR studies and other methods for enhanced causal inference, will be crucial.","PeriodicalId":11902,"journal":{"name":"European Addiction Research","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Alcohol Use and Mental Health: How Genetic Information Can Help Unravel Their Relationship.\",\"authors\":\"Rachel Visontay, M. P. van de Weijer, J. Treur\",\"doi\":\"10.1159/000538454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\nTraditional epidemiological evidence suggests various associations exist between alcohol and mental/cognitive health outcomes. However, whether these reflect causal relationships remains unclear. Mendelian randomization (MR) - a kind of instrumental variable analysis using genetic variants to proxy for an exposure of interest - has the potential to improve causal inference from observational data.\\n\\n\\nSUMMARY\\nIn the first part of this review, the challenges of causal inference in the field are discussed, and a theoretical and practical introduction to the technique of MR is given. Next, we report on literature searches performed to update a previous systematic review of MR studies evaluating alcohol-mental health relationships. Twelve relevant studies were identified and considered in the context of the 22 studies included in the previous review. While the reviewed MR literature suggests possible causal relationships/a lack thereof, for the most part, the nature of causal relationships between alcohol and mental health remains unclear.\\n\\n\\nKEY MESSAGES\\nMR is beginning to yield valuable insights into the causal effects of (problematic) alcohol consumption on mental and cognitive health outcomes. Future studies must be mindful of the technique's underlying assumptions and should allow for potential nonlinearity in relationships. Triangulating across sensitivity methods within MR studies, as well as between MR studies and other methods for enhanced causal inference, will be crucial.\",\"PeriodicalId\":11902,\"journal\":{\"name\":\"European Addiction Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Addiction Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000538454\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Addiction Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000538454","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Alcohol Use and Mental Health: How Genetic Information Can Help Unravel Their Relationship.
BACKGROUND
Traditional epidemiological evidence suggests various associations exist between alcohol and mental/cognitive health outcomes. However, whether these reflect causal relationships remains unclear. Mendelian randomization (MR) - a kind of instrumental variable analysis using genetic variants to proxy for an exposure of interest - has the potential to improve causal inference from observational data.
SUMMARY
In the first part of this review, the challenges of causal inference in the field are discussed, and a theoretical and practical introduction to the technique of MR is given. Next, we report on literature searches performed to update a previous systematic review of MR studies evaluating alcohol-mental health relationships. Twelve relevant studies were identified and considered in the context of the 22 studies included in the previous review. While the reviewed MR literature suggests possible causal relationships/a lack thereof, for the most part, the nature of causal relationships between alcohol and mental health remains unclear.
KEY MESSAGES
MR is beginning to yield valuable insights into the causal effects of (problematic) alcohol consumption on mental and cognitive health outcomes. Future studies must be mindful of the technique's underlying assumptions and should allow for potential nonlinearity in relationships. Triangulating across sensitivity methods within MR studies, as well as between MR studies and other methods for enhanced causal inference, will be crucial.
期刊介绍:
''European Addiction Research'' is a unique international scientific journal for the rapid publication of innovative research covering all aspects of addiction and related disorders. Representing an interdisciplinary forum for the exchange of recent data and expert opinion, it reflects the importance of a comprehensive approach to resolve the problems of substance abuse and addiction in Europe. Coverage ranges from clinical and research advances in the fields of psychiatry, biology, pharmacology and epidemiology to social, and legal implications of policy decisions. The goal is to facilitate open discussion among those interested in the scientific and clinical aspects of prevention, diagnosis and therapy as well as dealing with legal issues. An excellent range of original papers makes ‘European Addiction Research’ the forum of choice for all.