Lois S Sadler, Sangchoon Jeon, Ahmad Ibrahim, Declan Barry, Uzoji Nwananji-Enwerem, Dustin Scheinost, Henry Yaggi, Nancy S Redeker
{"title":"接受阿片类药物使用障碍药物治疗的成年人睡眠健康的社会和行为相关性","authors":"Lois S Sadler, Sangchoon Jeon, Ahmad Ibrahim, Declan Barry, Uzoji Nwananji-Enwerem, Dustin Scheinost, Henry Yaggi, Nancy S Redeker","doi":"10.1080/16066359.2025.2530997","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Opioid use disorder (OUD) and its treatment (MOUD) are associated with altered sleep health. The purposes are to (1) describe profiles of sleep health among adults using medication for opioid use disorder (MOUD) and (2) examine the associations between multi-level individual, family, neighborhood, and social characteristics and sleep profiles. We hypothesized that poor quality of life, adverse life experiences, addiction behavior, dysfunctional family and social interactions, and negative neighborhood characteristics are associated with negative profiles of sleep health.</p><p><strong>Methods: </strong>This study comprised baseline analyses of the NIH/HEAL-funded CLOUDS study (Collaboration Linking Opioid Use Disorder and Sleep). We obtained self-report measures of sleep health and indicators of multi-level individual, family, and neighborhood factors. We identified sleep health profiles with K-means cluster analysis and examined the associations between these multi-level factors and sleep health profiles.</p><p><strong>Results: </strong>The sample included 165 participants (M age = 42, SD =11.4 years; <i>N</i> = 73/42.2% female; <i>N</i> = 37/22.4% Black or more than one race). We identified four sleep health profiles: Healthy sleep (Profile A; 30.3%); mild insomnia/late sleep timing (Profile B: 20%); clinical insomnia/long sleep (Profile C: 25.5%); and insomnia with excessive daytime sleepiness (Profile D: 23.6%). There were statistically significant differences across sleep profiles in physical and psychological health, addiction use and risk, family function, neighborhood esthetic quality, and perceptions of community support, with more adverse factors associated with poorer sleep health.</p><p><strong>Conclusions: </strong>Research is needed to understand the causal directions of these relationships and promote multi-level interventions to promote sleep health.</p>","PeriodicalId":47851,"journal":{"name":"Addiction Research & Theory","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356222/pdf/","citationCount":"0","resultStr":"{\"title\":\"Social and behavioral correlates of sleep health among adults receiving medication treatment for opioid use disorder.\",\"authors\":\"Lois S Sadler, Sangchoon Jeon, Ahmad Ibrahim, Declan Barry, Uzoji Nwananji-Enwerem, Dustin Scheinost, Henry Yaggi, Nancy S Redeker\",\"doi\":\"10.1080/16066359.2025.2530997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Opioid use disorder (OUD) and its treatment (MOUD) are associated with altered sleep health. The purposes are to (1) describe profiles of sleep health among adults using medication for opioid use disorder (MOUD) and (2) examine the associations between multi-level individual, family, neighborhood, and social characteristics and sleep profiles. We hypothesized that poor quality of life, adverse life experiences, addiction behavior, dysfunctional family and social interactions, and negative neighborhood characteristics are associated with negative profiles of sleep health.</p><p><strong>Methods: </strong>This study comprised baseline analyses of the NIH/HEAL-funded CLOUDS study (Collaboration Linking Opioid Use Disorder and Sleep). We obtained self-report measures of sleep health and indicators of multi-level individual, family, and neighborhood factors. We identified sleep health profiles with K-means cluster analysis and examined the associations between these multi-level factors and sleep health profiles.</p><p><strong>Results: </strong>The sample included 165 participants (M age = 42, SD =11.4 years; <i>N</i> = 73/42.2% female; <i>N</i> = 37/22.4% Black or more than one race). We identified four sleep health profiles: Healthy sleep (Profile A; 30.3%); mild insomnia/late sleep timing (Profile B: 20%); clinical insomnia/long sleep (Profile C: 25.5%); and insomnia with excessive daytime sleepiness (Profile D: 23.6%). There were statistically significant differences across sleep profiles in physical and psychological health, addiction use and risk, family function, neighborhood esthetic quality, and perceptions of community support, with more adverse factors associated with poorer sleep health.</p><p><strong>Conclusions: </strong>Research is needed to understand the causal directions of these relationships and promote multi-level interventions to promote sleep health.</p>\",\"PeriodicalId\":47851,\"journal\":{\"name\":\"Addiction Research & Theory\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356222/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Addiction Research & Theory\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/16066359.2025.2530997\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL ISSUES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addiction Research & Theory","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/16066359.2025.2530997","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL ISSUES","Score":null,"Total":0}
Social and behavioral correlates of sleep health among adults receiving medication treatment for opioid use disorder.
Objectives: Opioid use disorder (OUD) and its treatment (MOUD) are associated with altered sleep health. The purposes are to (1) describe profiles of sleep health among adults using medication for opioid use disorder (MOUD) and (2) examine the associations between multi-level individual, family, neighborhood, and social characteristics and sleep profiles. We hypothesized that poor quality of life, adverse life experiences, addiction behavior, dysfunctional family and social interactions, and negative neighborhood characteristics are associated with negative profiles of sleep health.
Methods: This study comprised baseline analyses of the NIH/HEAL-funded CLOUDS study (Collaboration Linking Opioid Use Disorder and Sleep). We obtained self-report measures of sleep health and indicators of multi-level individual, family, and neighborhood factors. We identified sleep health profiles with K-means cluster analysis and examined the associations between these multi-level factors and sleep health profiles.
Results: The sample included 165 participants (M age = 42, SD =11.4 years; N = 73/42.2% female; N = 37/22.4% Black or more than one race). We identified four sleep health profiles: Healthy sleep (Profile A; 30.3%); mild insomnia/late sleep timing (Profile B: 20%); clinical insomnia/long sleep (Profile C: 25.5%); and insomnia with excessive daytime sleepiness (Profile D: 23.6%). There were statistically significant differences across sleep profiles in physical and psychological health, addiction use and risk, family function, neighborhood esthetic quality, and perceptions of community support, with more adverse factors associated with poorer sleep health.
Conclusions: Research is needed to understand the causal directions of these relationships and promote multi-level interventions to promote sleep health.
期刊介绍:
Since being founded in 1993, Addiction Research and Theory has been the leading outlet for research and theoretical contributions that view addictive behaviour as arising from psychological processes within the individual and the social context in which the behaviour takes place as much as from the biological effects of the psychoactive substance or activity involved. This cross-disciplinary journal examines addictive behaviours from a variety of perspectives and methods of inquiry. Disciplines represented in the journal include Anthropology, Economics, Epidemiology, Medicine, Sociology, Psychology and History, but high quality contributions from other relevant areas will also be considered.