Moloney Mairead E, Moga Daniela C, Grandner Michael, Schoenberg Nancy
Department of Informatics and Health Data Science, Miller School of Medicine, University of Miami, Miami, FL, USA; Frost Institute for Data Science and Computing, University of Miami, Miami, FL, USA.
Department of Pharmacy Science and Practice, College of Pharmacy, University of Kentucky, Lexington, KY, USA.
Sleep Health. 2025 Jun 20. doi: 10.1016/j.sleh.2025.04.009.
Insomnia disproportionally affects women and is prevalent among rural Appalachian adults at higher rates than in the general US population. Given the strong, bi-directional relationship between sleep and health, a better understanding of insomnia in this health-disparate population is critical. The present study focused on the sex (females), gender (women), and age group (45+) at highest insomnia risk and explores the social determinants of sleep that contributed to insomnia.
Semistructured telephone interviews were conducted to understand factors associated with insomnia among rural Appalachian women who self-reported insomnia symptoms ≥3 nights per week for ≥3months. Interviews were recorded with permission and transcribed. We used a multistage, inductive and deductive coding process aided by NVIVO 12.0 software.
Participants were 46 cisgender women in rural Appalachia who met the criteria for insomnia. The social-ecological model was our interpretative framework. Findings illuminate individual (e.g., rumination, menopause, pain, depression), social (e.g., family roles, grief, caregiving, financial concerns), and societal (e.g., gender norms, technology use) factors that likely contribute to insomnia among middle-aged rural Appalachian women.
Across levels of the social-ecological model, factors of female sex (e.g., menopause) and gendered behaviors, roles, and norms (e.g., caregiving close and extended kin) played a central role in the precipitation and perpetuation of insomnia in this population. Attending to the regional cultural norms of heightened self-sufficiency, domestic work, and inter-generational familial care may aid healthcare providers and policy makers aiming to address insomnia among rural Appalachian women as well as other rural populations.
失眠对女性的影响尤为严重,在美国阿巴拉契亚农村成年人中的患病率高于美国总体人群。鉴于睡眠与健康之间存在强烈的双向关系,更好地了解这一健康状况存在差异的人群中的失眠情况至关重要。本研究聚焦于失眠风险最高的性别(女性)、社会性别(女性)和年龄组(45岁以上),并探讨导致失眠的睡眠社会决定因素。
对阿巴拉契亚农村地区自我报告每周至少3晚出现失眠症状且持续至少3个月的女性进行半结构化电话访谈,以了解与失眠相关的因素。访谈经许可进行录音并转录。我们使用NVIVO 12.0软件辅助的多阶段归纳和演绎编码过程。
参与者为46名符合失眠标准的阿巴拉契亚农村地区顺性别女性。社会生态模型是我们的解释框架。研究结果揭示了可能导致阿巴拉契亚农村中年女性失眠的个体因素(如沉思、更年期、疼痛、抑郁)、社会因素(如家庭角色、悲伤、护理、经济担忧)和社会因素(如性别规范、技术使用)。
在社会生态模型的各个层面上,女性性别因素(如更年期)以及具有性别特征的行为、角色和规范(如照顾直系和旁系亲属)在该人群失眠的诱发和持续中起着核心作用。关注该地区高度自给自足、家务劳动和代际家庭护理的文化规范,可能有助于医疗保健提供者和政策制定者解决阿巴拉契亚农村女性以及其他农村人口的失眠问题。