0529 Geographic and Demographic Distribution of an Insomnia Phenotype in the All of Us Research Program

作者：Lauren Gryboski, Soniya Mishra, Zachary Nicholas, Tetyana Zayats, Subhajit Chakravorty, Diego R. Mazzotti · 发表于：SLEEP · 年份：2025 · DOI：10.1093/sleep/zsaf090.0529 · 研究领域：Sleep and related disorders

Abstract Introduction Insomnia is common among adults, but individuals’ experiences with the condition may not be well-reflected in electronic health records (EHRs). This leads to inconsistencies when using these codes alone to study insomnia. A computable phenotype for insomnia incorporating diagnosis codes, drug codes, and self-reported insomnia status could help us better understand the condition at the population level. This study aimed to use both EHR data and survey responses to understand the prevalence, geographic distribution, and demographic correlates of insomnia in a large cohort of adults in the All of Us Research Program. Methods Data from 99,824 participants who responded to the Personal/Family Health History survey and provided EHR and genomic sequencing data were included. We used an algorithm to identify individuals meeting a stringent (≥2 insomnia condition codes and ≥1 drug code in the EHR) or a broad (≥1 condition codes, drug codes, or self-reported insomnia) definition of insomnia. We estimated the overall clinical prevalence for each definition of insomnia among all participants, and stratified by sex, race, ethnicity, and geographic location. Results From included participants, 29,972 (30%) met the broad definition for insomnia and 17,596 (17.6%) met the stringent definition. For both definitions, groups that were overrepresented among insomnia cases relative to their proportion of the sample population included males, those identifying with a sex othe...