考虑到精神障碍并发症的重大躯体疾病患者的自杀风险:工具变量分析

Omega Pub Date : 2025-01-04 DOI:10.1177/00302228241312744
Ning Lu, Tzu-Jung Wen, Kuo-Cherh Huang
{"title":"考虑到精神障碍并发症的重大躯体疾病患者的自杀风险:工具变量分析","authors":"Ning Lu, Tzu-Jung Wen, Kuo-Cherh Huang","doi":"10.1177/00302228241312744","DOIUrl":null,"url":null,"abstract":"<p><p>Suicide is an important health concern. Excepting cancer, the association between physical disorders and suicidal risk is comparatively less explored. Instrumental variable analysis has been suggested as a powerful technique to deal with possible bias caused by unmeasured confounders in observational research. This population-based study set out to assess the suicidal risk of patients with major physical disorders by employing the instrumental variable analysis. Data were retrieved from the National Health Insurance Research Database and the Death Certification Registry in Taiwan (years 2010-2018). The Cox proportional hazards model with an instrumental variable estimator was performed, adjusting for comorbidities of mental disorders and other covariates. Analytical results showed that compared to their counterparts, patients with major physical disorders had an elevated risk of death by suicide within one year and three years after diagnosis of physical illness. Only did epilepsy not demonstrate a statistically significant impact on the risk of suicide.</p>","PeriodicalId":74338,"journal":{"name":"Omega","volume":" ","pages":"302228241312744"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk of Suicide Among Patients With Major Physical Disorders Considering Comorbidities of Mental Disorders: An Instrumental Variable Analysis.\",\"authors\":\"Ning Lu, Tzu-Jung Wen, Kuo-Cherh Huang\",\"doi\":\"10.1177/00302228241312744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Suicide is an important health concern. Excepting cancer, the association between physical disorders and suicidal risk is comparatively less explored. Instrumental variable analysis has been suggested as a powerful technique to deal with possible bias caused by unmeasured confounders in observational research. This population-based study set out to assess the suicidal risk of patients with major physical disorders by employing the instrumental variable analysis. Data were retrieved from the National Health Insurance Research Database and the Death Certification Registry in Taiwan (years 2010-2018). The Cox proportional hazards model with an instrumental variable estimator was performed, adjusting for comorbidities of mental disorders and other covariates. Analytical results showed that compared to their counterparts, patients with major physical disorders had an elevated risk of death by suicide within one year and three years after diagnosis of physical illness. Only did epilepsy not demonstrate a statistically significant impact on the risk of suicide.</p>\",\"PeriodicalId\":74338,\"journal\":{\"name\":\"Omega\",\"volume\":\" \",\"pages\":\"302228241312744\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Omega\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00302228241312744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Omega","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00302228241312744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

自杀是一个重要的健康问题。除了癌症之外,身体障碍和自杀风险之间的联系相对较少被探索。工具变量分析被认为是一种强有力的技术,可以处理观测研究中由未测量混杂因素引起的可能偏差。本以人群为基础的研究旨在通过工具变量分析来评估患有严重身体障碍的患者的自杀风险。数据检索自国家健康保险研究数据库和台湾死亡证明登记处(2010-2018年)。采用工具变量估计的Cox比例风险模型,调整精神障碍的合并症和其他协变量。分析结果显示,与同类患者相比,患有严重身体疾病的患者在诊断出身体疾病后的一年内和三年内自杀死亡的风险较高。只是癫痫对自杀风险没有统计学上的显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk of Suicide Among Patients With Major Physical Disorders Considering Comorbidities of Mental Disorders: An Instrumental Variable Analysis.

Suicide is an important health concern. Excepting cancer, the association between physical disorders and suicidal risk is comparatively less explored. Instrumental variable analysis has been suggested as a powerful technique to deal with possible bias caused by unmeasured confounders in observational research. This population-based study set out to assess the suicidal risk of patients with major physical disorders by employing the instrumental variable analysis. Data were retrieved from the National Health Insurance Research Database and the Death Certification Registry in Taiwan (years 2010-2018). The Cox proportional hazards model with an instrumental variable estimator was performed, adjusting for comorbidities of mental disorders and other covariates. Analytical results showed that compared to their counterparts, patients with major physical disorders had an elevated risk of death by suicide within one year and three years after diagnosis of physical illness. Only did epilepsy not demonstrate a statistically significant impact on the risk of suicide.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信