Rupsha Singh, Kevin Villalobos, Jeffrey H Cohen, Arati Maleku, Sudarshan Pyakurel, Taku Suzuki, Shambika Raut, Mark Troyer, Chandra L Jackson, Francisco Alejandro Montiel Ishino
{"title":"与失眠症状相关的社区支持和挑战概况:俄亥俄州中部不丹人社区试点健康研究的结果。","authors":"Rupsha Singh, Kevin Villalobos, Jeffrey H Cohen, Arati Maleku, Sudarshan Pyakurel, Taku Suzuki, Shambika Raut, Mark Troyer, Chandra L Jackson, Francisco Alejandro Montiel Ishino","doi":"10.1016/j.sleh.2024.08.006","DOIUrl":null,"url":null,"abstract":"<p><strong>Study objectives: </strong>We investigated profiles of community support and challenges in relation to insomnia symptoms among the Bhutanese living in the United States.</p><p><strong>Methods: </strong>Using data from the pilot Bhutanese Community of Central Ohio Health Study (N = 495; 51.5% men, 69.8% aged 18-44years), we used latent class analysis to identify distinct profiles of neighborhood social cohesion, social support, and community challenges (e.g., limited access to healthcare services and transportation, crime and safety issues, substance use, intimate partner violence) and their associations with insomnia symptoms. Insomnia symptoms were self-reported as difficulty falling and staying asleep and dichotomized as \"not at all\" vs. \"some to always.\" Identified classes/profiles were further differentiated by self-reported sociodemographic, socioeconomic, health, acculturative, and discrimination factors.</p><p><strong>Results: </strong>Latent class analysis revealed four distinct classes/profiles. The High Cohesion (class 1) profile (30.1% of sample) had the lowest likelihood of insomnia symptoms at 6.5%, followed by class 2 or High Support (23.6%) with a 15.3% likelihood. Class 3 or High Challenges profile (11.5%) had a moderate likelihood of insomnia symptoms at 49%. Class 4 or the Low Cohesion/Support profile (34.7%) had a 100% likelihood of reporting insomnia symptoms. Class 4 when compared to class 1 was more likely to report cardiometabolic conditions, experiences of everyday discrimination, limited English linguistic proficiency, and not using telehealth.</p><p><strong>Conclusion: </strong>Community social cohesion and support may play an important role in mitigating insomnia symptoms among Bhutanese refugees. Further investigations are warranted.</p>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Profiles of community support and challenges associated with insomnia symptoms: Findings from the pilot Bhutanese Community of Central Ohio Health Study.\",\"authors\":\"Rupsha Singh, Kevin Villalobos, Jeffrey H Cohen, Arati Maleku, Sudarshan Pyakurel, Taku Suzuki, Shambika Raut, Mark Troyer, Chandra L Jackson, Francisco Alejandro Montiel Ishino\",\"doi\":\"10.1016/j.sleh.2024.08.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Study objectives: </strong>We investigated profiles of community support and challenges in relation to insomnia symptoms among the Bhutanese living in the United States.</p><p><strong>Methods: </strong>Using data from the pilot Bhutanese Community of Central Ohio Health Study (N = 495; 51.5% men, 69.8% aged 18-44years), we used latent class analysis to identify distinct profiles of neighborhood social cohesion, social support, and community challenges (e.g., limited access to healthcare services and transportation, crime and safety issues, substance use, intimate partner violence) and their associations with insomnia symptoms. Insomnia symptoms were self-reported as difficulty falling and staying asleep and dichotomized as \\\"not at all\\\" vs. \\\"some to always.\\\" Identified classes/profiles were further differentiated by self-reported sociodemographic, socioeconomic, health, acculturative, and discrimination factors.</p><p><strong>Results: </strong>Latent class analysis revealed four distinct classes/profiles. The High Cohesion (class 1) profile (30.1% of sample) had the lowest likelihood of insomnia symptoms at 6.5%, followed by class 2 or High Support (23.6%) with a 15.3% likelihood. Class 3 or High Challenges profile (11.5%) had a moderate likelihood of insomnia symptoms at 49%. Class 4 or the Low Cohesion/Support profile (34.7%) had a 100% likelihood of reporting insomnia symptoms. Class 4 when compared to class 1 was more likely to report cardiometabolic conditions, experiences of everyday discrimination, limited English linguistic proficiency, and not using telehealth.</p><p><strong>Conclusion: </strong>Community social cohesion and support may play an important role in mitigating insomnia symptoms among Bhutanese refugees. 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Profiles of community support and challenges associated with insomnia symptoms: Findings from the pilot Bhutanese Community of Central Ohio Health Study.
Study objectives: We investigated profiles of community support and challenges in relation to insomnia symptoms among the Bhutanese living in the United States.
Methods: Using data from the pilot Bhutanese Community of Central Ohio Health Study (N = 495; 51.5% men, 69.8% aged 18-44years), we used latent class analysis to identify distinct profiles of neighborhood social cohesion, social support, and community challenges (e.g., limited access to healthcare services and transportation, crime and safety issues, substance use, intimate partner violence) and their associations with insomnia symptoms. Insomnia symptoms were self-reported as difficulty falling and staying asleep and dichotomized as "not at all" vs. "some to always." Identified classes/profiles were further differentiated by self-reported sociodemographic, socioeconomic, health, acculturative, and discrimination factors.
Results: Latent class analysis revealed four distinct classes/profiles. The High Cohesion (class 1) profile (30.1% of sample) had the lowest likelihood of insomnia symptoms at 6.5%, followed by class 2 or High Support (23.6%) with a 15.3% likelihood. Class 3 or High Challenges profile (11.5%) had a moderate likelihood of insomnia symptoms at 49%. Class 4 or the Low Cohesion/Support profile (34.7%) had a 100% likelihood of reporting insomnia symptoms. Class 4 when compared to class 1 was more likely to report cardiometabolic conditions, experiences of everyday discrimination, limited English linguistic proficiency, and not using telehealth.
Conclusion: Community social cohesion and support may play an important role in mitigating insomnia symptoms among Bhutanese refugees. Further investigations are warranted.
期刊介绍:
Sleep Health Journal of the National Sleep Foundation is a multidisciplinary journal that explores sleep''s role in population health and elucidates the social science perspective on sleep and health. Aligned with the National Sleep Foundation''s global authoritative, evidence-based voice for sleep health, the journal serves as the foremost publication for manuscripts that advance the sleep health of all members of society.The scope of the journal extends across diverse sleep-related fields, including anthropology, education, health services research, human development, international health, law, mental health, nursing, nutrition, psychology, public health, public policy, fatigue management, transportation, social work, and sociology. The journal welcomes original research articles, review articles, brief reports, special articles, letters to the editor, editorials, and commentaries.