谷歌浏览器插件
订阅小程序
在清言上使用

The burden of anxiety among a nationally representative US adult population

Journal of affective disorders(2023)

引用 0|浏览10
暂无评分
摘要
Background: Anxiety disorders are highly prevalent and are associated with a significant humanistic and economic burden. This study evaluates the impact of anxiety symptoms on direct and indirect costs and quality of life in individuals with self-reported and unrecognized anxiety symptoms.Methods: The 2019 US National Health and Wellness Survey database was analyzed to compare individuals with anxiety symptoms to individuals without symptoms, stratified by responses to a yes/no question about experiencing anxiety symptoms, and further stratified by severity of symptoms based on GAD-7 scores. Individuals who responded 'yes' were characterized as having self-reported anxiety symptoms, and those who responded 'no' were screened for unrecognized anxiety symptoms.Results: Overall, 44.0 % of the population experienced anxiety symptoms, of which 32.5 % self-reported experiencing anxiety, while an additional 11.5 % had mild to severe symptoms but did not self-identify as having anxiety. Both groups experienced significantly worse quality of life, and higher direct and indirect costs than a control group who had no anxiety symptoms (GAD-7 <= 4). Individuals with more severe anxiety symptoms experienced worse outcomes. Limitations: The data were cross-sectional, so causality could not be determined. Outcomes were based on selfreport, and are therefore subject to reporting and recall bias. Prevalence and severity were assessed using the GAD-7, and not clinically validated.Conclusion: A substantial proportion of the population experiences anxiety symptoms without recognizing it. Anxiety symptoms had a significant impact on quality of life, direct costs, and indirect costs, representing a considerable burden that increased with severity of illness.
更多
查看译文
关键词
Anxiety,Burden of illness,Direct costs,Health resource utilization,Productivity loss,Indirect costs,Quality of life
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要