Predictors of antidepressant use in the English population: analysis of the Adult Psychiatric Morbidity Survey
Predictors of antidepressant use in the English population: analysis of the Adult Psychiatric Morbidity Survey
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DOI：
10.1017/ipm.2018.19
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发表时间：
2020-03-01
影响因子：
5.1
通讯作者：
Shevlin, M.
中科院分区：
文献类型：
--
作者：
Boyle, S.;Murphy, J.;Shevlin, M.
在英国，抗抑郁药的使用率已经超过了抑郁症患病率的诊断增长。研究表明，个人和社会经济风险因素可能有助于抗抑郁药的使用。迄今为止，很少有研究涉及这些可能的贡献。因此，本研究旨在评估个人、社会经济和创伤相关风险因素在预测抗抑郁药使用方面的相对优势。方法数据来自成人精神病发病率调查（n=7403），一个具有全国代表性的家庭样本的成年人居住在英格兰在2007年。一个多变量二元逻辑回归模型被开发来评估个人、社会经济和创伤相关危险因素与当前抗抑郁药使用之间的关联。结果目前使用抗抑郁药的最强预测因子是符合ICD-10抑郁发作的标准[比值比（OR）=9.04]。在这项分析中，抗抑郁药使用的其他重要预测因素包括英语作为第一语言（OR=3.45），女性性别（OR=1.98），失业（OR=1.82）和儿童期性虐待（OR=1.53）。结论在多变量模型中，一些个人、社会经济和创伤相关因素对抗抑郁药的使用有显著影响。这些发现有助于我们了解英国抗抑郁药使用的更广泛背景。
Objectives The rate of antidepressant use in the United Kingdom has outpaced diagnostic increases in the prevalence of depression. Research has suggested that personal and socioeconomic risk factors may be contributing to antidepressant use. To date, few studies have addressed these possible contributions. Thus, this study aimed to assess the relative strength of personal, socioeconomic and trauma-related risk factors in predicting antidepressant use. Methods Data were derived from the Adult Psychiatric Morbidity Survey (n=7403), a nationally representative household sample of adults residing in England in 2007. A multivariate binary logistic regression model was developed to assess the associations between personal, socioeconomic and trauma-related risk factors and current antidepressant use. Results The strongest predictor of current antidepressant use was meeting the criteria for an ICD-10 depressive episode [odds ratio (OR)=9.04]. Other significant predictors of antidepressant use in this analysis included English as first language (OR=3.45), female gender (OR=1.98), unemployment (OR=1.82) and childhood sexual abuse (OR=1.53). Conclusions Several personal, socioeconomic and trauma-related factors significantly contributed to antidepressant use in the multivariate model specified. These findings aid our understanding of the broader context of antidepressant use in the United Kingdom.