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基于性取向的自杀未遂发生率的多种信息偏倚效应估计:贝叶斯错分校正方法在系统评价数据中的应用。

Effects of Multiple Forms of Information Bias on Estimated Prevalence of Suicide Attempts According to Sexual Orientation: An Application of a Bayesian Misclassification Correction Method to Data From a Systematic Review.

机构信息

British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.

School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

Am J Epidemiol. 2019 Jan 1;188(1):239-249. doi: 10.1093/aje/kwy200.

DOI:10.1093/aje/kwy200
PMID:30188991
Abstract

Multiple epidemiologic studies demonstrate a disparity in suicide risk between sexual minority (lesbian, gay, bisexual) and heterosexual populations; however, both "exposure" (sexual minority status) and outcome (suicide attempts) may be affected by information bias related to errors in self-reporting. We therefore applied a Bayesian misclassification correction method to account for possible information biases. A systematic literature search identified studies of lifetime suicide attempts in sexual minority and heterosexual adults, and frequentist meta-analysis was used to generate unadjusted estimates of relative risk. A Bayesian model accounting for prior information about sensitivity and specificity of exposure and outcome measures was used to adjust for misclassification biases. In unadjusted frequentist analysis, the relative risk of lifetime suicide attempt comparing sexual minority with heterosexual groups was 3.38 (95% confidence interval: 2.65, 4.32). In Bayesian reanalysis, the estimated prevalence was slightly reduced in heterosexual adults and increased in sexual minority adults, yielding a relative risk of 4.67 (95% credible interval: 3.94, 5.73). The disparity in lifetime suicide attempts between sexual minority and heterosexual adults is greater than previously estimated, when accounting for multiple forms of information bias. Additional research on the impact of information bias in studies of sexual minority health should be pursued.

摘要

多项流行病学研究表明,性少数群体(同性恋、双性恋)与异性恋群体之间的自杀风险存在差异;然而,“暴露”(性少数群体身份)和结果(自杀未遂)都可能受到与自我报告错误相关的信息偏倚的影响。因此,我们应用了贝叶斯错误分类校正方法来纠正可能存在的信息偏倚。系统文献检索确定了性少数群体和异性恋成年人一生中自杀未遂的研究,并使用频率论荟萃分析生成了相对风险的未调整估计值。一个贝叶斯模型考虑了暴露和结果测量的敏感性和特异性的先验信息,用于校正分类错误偏差。在未调整的频率论分析中,性少数群体与异性恋群体相比,一生中自杀未遂的相对风险为 3.38(95%置信区间:2.65,4.32)。在贝叶斯重新分析中,异性恋成年人中的估计患病率略有降低,性少数成年人中的患病率略有增加,导致相对风险为 4.67(95%可信区间:3.94,5.73)。当考虑到多种形式的信息偏倚时,性少数群体与异性恋成年人之间一生中自杀未遂的差异大于之前的估计。应该进一步研究性少数群体健康研究中信息偏倚的影响。

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