Sleep Health最新文献

{"title":"Sleep health, daily and nightly social media use, and positive and negative social media experiences among Hispanic adults: A daily diary study","authors":"Miguel A. Garcia PhD,&nbsp;Austin R. Vernon BS,&nbsp;Rebeca Fierro Pérez-Martinez MA,&nbsp;Evan J. Romero BA,&nbsp;Angelica P. Aguirre BA,&nbsp;Theodore V. Cooper PhD,&nbsp;Hannah I. Volpert-Esmond PhD","doi":"10.1016/j.sleh.2026.05.009","DOIUrl":"10.1016/j.sleh.2026.05.009","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep is critical for health and well-being. Many studies have observed that social media use frequency, both overall and nighttime use, is associated with poor sleep health. Few studies though have examined how the valence of experiences on social media are associated with sleep health. Investigating these associations among Hispanic groups is vital as Hispanic groups may experience sleep disparities and are using social media at marked rates.</div></div><div><h3>Method</h3><div>Ninety-seven Hispanic adults (<em>M</em>_<em>age</em> = 23.76 years, <em>SD</em> = 5.56; 69.1% female) participated in a 14-day daily diary study assessing the within- and between-person associations between frequency of daily and nightly social media use, positive and negative social media experiences, and sleep quality, sleep latency, sleep duration, sleep efficiency, and daytime dysfunction.</div></div><div><h3>Results</h3><div>Disaggregated multilevel models revealed that greater frequency of nightly social media use was associated with longer sleep latency and poorer sleep efficiency within participants and with better sleep quality and longer sleep duration between participants. Increased positive social media experiences were associated with lower daytime dysfunction within participants and shorter sleep latency between participants. Increased negative social media experiences were associated with poorer sleep quality and greater daytime dysfunction within and between participants and shorter sleep duration and poorer sleep efficiency within participants.</div></div><div><h3>Conclusions</h3><div>Although the frequency of nightly social media use was associated with sleep health, the valence of social media experiences was more consistently associated with sleep health with associations differing by the valence of the experience. Additional longitudinal studies are warranted to further establish temporality.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 660-669"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148340531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From the editor’s desk: Challenging our assumptions about the meaning of a “nap”","authors":"Susan Redline MD, MPH","doi":"10.1016/j.sleh.2026.06.001","DOIUrl":"10.1016/j.sleh.2026.06.001","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Page 549"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148354449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlates of interindividual variability in sleep in the United States","authors":"Michael D. Smith PhD,&nbsp;Dennis Wesselbaum PhD","doi":"10.1016/j.sleh.2026.05.004","DOIUrl":"10.1016/j.sleh.2026.05.004","url":null,"abstract":"<div><h3>Objectives</h3><div>To examine the associations between demographic, socioeconomic, and health-related factors and self-reported sleep duration in a nationally representative sample of U.S. adults, with a novel focus on the conditional variability in sleep, defined as variation in sleep duration among individuals with similar backgrounds.</div></div><div><h3>Methods</h3><div>Data were drawn from eight waves (2011-2020) of the Behavioral Risk Factor Surveillance System, including 1,128,505 adults. A two-step regression framework was used: first, to estimate average sleep duration; second, to model inequality using the conditional variance of sleep. Shapley decomposition quantified the contribution of each factor. Analyses were stratified by sex, race-ethnicity, and separate models were estimated for short (&lt;7 h) and long (≥10 h) sleep duration.</div></div><div><h3>Results</h3><div>Average sleep duration was 6.99 h; 35% of respondents were short sleepers and 5.2% long sleepers. Mental and general health were the strongest predictors of both lower sleep and higher conditional variability. The conditional variability in sleep was greater among those with poor health, lower education, unemployment, and among Black and Asian individuals. Sex differences were modest, but mental health had a stronger association with sleep among males. Asian respondents experienced declining sleep with age, unlike other groups. Short sleep was more common among younger adults, racial minorities, smokers, and the employed; long sleep was linked to poor health and unemployment.</div></div><div><h3>Conclusions</h3><div>Both average sleep and its conditional variability reveal important public health patterns. Disadvantaged groups not only sleep less but also experience more irregular sleep. Policies should address sleep health disparities through integrated mental healthcare and targeted, culturally responsive interventions.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 628-637"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148354436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wrist-worn accelerometer measured sleep fragmentation and obesity risk: Socioeconomic gradients and mediation by allostatic load","authors":"Jie Xing MS,&nbsp;Xin Lin MS,&nbsp;Ying Zhang MS,&nbsp;Ying Tang PhD,&nbsp;Tingsong Yang PhD,&nbsp;Weiwei Zhuang PhD,&nbsp;Fangbiao Tao PhD,&nbsp;Xu Steven Xu PhD,&nbsp;Min Yuan PhD","doi":"10.1016/j.sleh.2026.03.010","DOIUrl":"10.1016/j.sleh.2026.03.010","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep fragmentation is a recognized risk factor for obesity, yet whether socioeconomic status moderates this association and whether chronic stress responses mediate it remain unclear.</div></div><div><h3>Methods</h3><div>We analyzed 3007 U.S. adults (≥18 years) from NHANES 2013-2014 with valid wrist-worn accelerometer data, representing approximately 132.7 million adults nationwide. Sleep fragmentation was quantified as wake minutes per hour (WASO/h) and awakenings per hour (AWAKE/h) using a Hidden Markov Model. Outcomes were general obesity (Body Mass Index, BMI) and central obesity (Body Roundness Index, BRI). Moderation by a composite socioeconomic status index (poverty income ratio, education, insurance) and mediation by Allostatic Load Index were evaluated using survey-weighted multinomial logistic regression and moderated mediation models.</div></div><div><h3>Results</h3><div>Higher sleep fragmentation was associated with greater odds of obesity (WASO/h: OR, 1.32; 95% confidence interval (CI), 1.15-1.50; AWAKE/h: OR, 1.52; 95% CI, 1.27-1.83; both <em>P</em> &lt; .001), with similar patterns for Body Roundness Index-defined obesity. These associations were stronger among higher-socioeconomic status adults and less pronounced in middle-socioeconomic status groups. Moderated mediation analyses indicated partial mediation by Allostatic Load Index, with significant indirect effects in high-socioeconomic status groups accounting for 13%-16% of the total association. Results were consistent across sensitivity analyses including multiple imputation, alternative Allostatic Load Index definitions, and additional adjustment for sleep duration and physical activity.</div></div><div><h3>Conclusions</h3><div>Sleep fragmentation was significantly associated with increased risk of both general and central obesity, with socioeconomic heterogeneity in effect magnitude. Chronic stress pathways partially explained this relationship, particularly among higher-socioeconomic status adults, suggesting that incorporating sleep quality assessment may benefit obesity prevention across diverse socioeconomic status contexts.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 638-647"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Daily associations between time-use and sleep onset timing in children: A multilevel compositional data analysis","authors":"Matthew Bourke PhD,&nbsp;George Thomas PhD,&nbsp;Claudia I. Maddren PhD,&nbsp;Martin O’Flaherty PhD","doi":"10.1016/j.sleh.2026.04.010","DOIUrl":"10.1016/j.sleh.2026.04.010","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to determine how time-use behaviors in the 4 hours before a child goes to sleep relate to sleep onset time at a daily level.</div></div><div><h3>Methods</h3><div>A total of 3438 children (51.6% male, aged 2-4 at baseline) with 13,748 days of time-use diaries completed between 2006 and 2008 were included in this study. Sleep onset time was assessed as the time that parents reported their child was in bed asleep. Time-use in the 4 hours before this time was categorized into screen time, physical activity, non–screen-based leisure, routine behaviors, and other. Associations were estimated using multilevel Bayesian compositional data analysis.</div></div><div><h3>Results</h3><div>At the between-person level, substituting 15 minutes of habitual screen time with physical activity in the 4 hours before bed was associated with earlier sleep onset by 7 minutes in younger children (95% CI: 6-9 minutes) and 8 minutes in older children (95% CI: 7-9 minutes). At the within-person level, higher-than-usual physical activity was associated with earlier sleep among younger (b = −6.19, 95% CI = −7.08, −5.33) and older children (b = −3.34, 95% CI = −4.02, −2.44). More time engaged in routine behaviors were related to later sleep onset at the within-person level among younger children (b = 6.50, 95% CI = 5.05, 7.95) and earlier sleep onset at the between-person level among older children (b = −8.92, 95% CI = −13.33, −7.83).</div></div><div><h3>Conclusions</h3><div>These results suggest that time-use behaviors in the afternoon and evening are associated with both habitual and day-to-day variability in sleep onset in children.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 580-588"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148158610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The insomnia-HFpEF nexus: A shared inflammatory pathogenesis?","authors":"Lei Ding BMed","doi":"10.1016/j.sleh.2026.04.003","DOIUrl":"10.1016/j.sleh.2026.04.003","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 712-713"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147942910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Daytime impairment and depressive symptoms in patients with obstructive sleep apnea and coexisting insomnia symptoms: A cross-sectional study from a Caribbean sleep center","authors":"Moustapha Agossou PhD,&nbsp;Marion Edoh Coffi MD,&nbsp;Maturin Tabué-Teguo PhD,&nbsp;Mathilde Andreu MD,&nbsp;Berenice Awanou MD,&nbsp;Jocelyn Inamo PhD,&nbsp;Océane l’Heveder MD,&nbsp;Marion Duféal MD,&nbsp;Salvatore Metanmo Ndziha PhD,&nbsp;Moustapha Dramé PhD","doi":"10.1016/j.sleh.2026.05.005","DOIUrl":"10.1016/j.sleh.2026.05.005","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to examine the association between insomnia symptoms and daytime functioning, depressive symptoms, and cardiovascular comorbidities among patients evaluated for obstructive sleep apnea in Martinique.</div></div><div><h3>Methods</h3><div>This cross-sectional study included consecutive adults referred for suspected obstructive sleep apnea at the University Hospital of Martinique. Insomnia symptoms were self-reported. Daytime sleepiness, fatigue, and depressive symptoms were assessed using the Epworth Sleepiness Scale, the Pichot Fatigue Scale, and the Pichot Depression Scale.</div></div><div><h3>Results</h3><div>Among 189 patients with obstructive sleep apnea, insomnia symptom data were available for 178 patients and 61.2% reported insomnia symptoms. The mean age was 55.1 ± 15.8 years in the group without insomnia and 56.9 ± 15.7 years in the insomnia group (<em>P</em> =.47). The median apnea–hypopnea index did not differ significantly between patients with and without insomnia symptoms (18 [9.6-31.0] vs. 21 [12.2-33.3], <em>P</em> = .28). In contrast, patients with coexisting insomnia symptoms exhibited significantly higher daytime sleepiness (ESS: 10.4 ± 5.7 vs. 7.5 ± 4.7, <em>P</em> = .001), fatigue (13.6 ± 8.2 vs. 8.9 ± 6.5, <em>P</em>&lt;.001), and depressive symptoms (4.1 ± 3.7 vs. 2.7 ± 2.9, <em>P</em> = .016).</div><div>No significant interaction was observed between insomnia symptoms and OSA severity, indicating that the impact of insomnia on daytime functioning was consistent across levels of respiratory disease severity.</div><div>In sex-stratified analyses, the association between insomnia symptoms and daytime impairment was more pronounced in women, whereas in men, fatigue appeared more strongly related to cardiovascular comorbidities.</div></div><div><h3>Conclusions</h3><div>Insomnia symptoms were strongly associated with impaired daytime functioning and depressive symptoms, independent of obstructive sleep apnea severity, supporting systematic insomnia assessment in patients with obstructive sleep apnea.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 689-694"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148228756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of concurrent insomnia symptoms and excessive daytime sleepiness with mortality and incident cardiovascular disease","authors":"Ruhan Wang PhD,&nbsp;Tingting Li PhD,&nbsp;Chenchen Zheng BD,&nbsp;Buyun Liu MD, PhD,&nbsp;Wei Bao MD, PhD,&nbsp;Shuang Rong MD, PhD","doi":"10.1016/j.sleh.2026.05.007","DOIUrl":"10.1016/j.sleh.2026.05.007","url":null,"abstract":"<div><h3>Objectives</h3><div>Excessive daytime sleepiness commonly co-occurs with insomnia symptoms, yet their joint association with long-term outcomes is unclear. To examine the joint associations of insomnia symptoms and excessive daytime sleepiness with all-cause mortality, cardiovascular disease mortality, and incident cardiovascular disease (defined as coronary heart disease, stroke, myocardial infarction, and heart failure).</div></div><div><h3>Methods</h3><div>We analyzed 495,398 UK Biobank participants with valid baseline sleep data. Insomnia symptoms and excessive daytime sleepiness were self-reported and combined into 4 phenotypes: neither insomnia symptoms nor excessive daytime sleepiness, insomnia symptoms only, excessive daytime sleepiness only, and insomnia symptoms+excessive daytime sleepiness. Outcomes were ascertained via linkage to national registries. Cox models estimated adjusted hazard ratios (HRs), and both additive (RERI, AP) and multiplicative (product-term) interactions were assessed.</div></div><div><h3>Results</h3><div>Over a mean follow-up of 14.9 years, totaling 7.46 million person-years, there were 51,926 deaths (10,854 cardiovascular disease deaths) and 51,299 incident cardiovascular disease events. In multivariable models, insomnia symptoms+excessive daytime sleepiness was associated with higher risks of all-cause mortality (HR 1.32, 95% CI 1.25-1.40), cardiovascular disease mortality (1.28, 1.14-1.43), and incident cardiovascular disease (1.40, 1.32-1.49) versus the reference. Insomnia symptoms only and excessive daytime sleepiness only showed modest risk elevations, whereas additive interaction between insomnia symptoms and excessive daytime sleepiness was evident for all-cause mortality (RERI 0.19, 95% CI 0.09-0.30; AP 0.14, 0.07-0.20) and cardiovascular disease incidence (RERI 0.20, 0.08-0.31; AP 0.14, 0.01-0.28).</div></div><div><h3>Conclusions</h3><div>The co-occurrence of insomnia symptoms and excessive daytime sleepiness was associated with higher risks of all-cause, cardiovascular disease mortality and incident cardiovascular disease than either symptom alone. These findings support considering combined sleep-symptom profiles in risk assessment, while further studies are needed to clarify underlying mechanisms and determine clinical implications.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 648-655"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148279257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of sleep disturbance with somatic and cognitive-affective depressive symptom dimensions in adolescents: The moderating role of body mass index","authors":"Wei Chen BMed,&nbsp;Shuyi Peng MS,&nbsp;Qianyu Liu MS,&nbsp;Guiyu Jiang MS,&nbsp;Yannan Guo MS,&nbsp;Wanxin Wang PhD,&nbsp;Lan Guo PhD","doi":"10.1016/j.sleh.2026.05.012","DOIUrl":"10.1016/j.sleh.2026.05.012","url":null,"abstract":"<div><h3>Objectives</h3><div>Depressive symptoms are common in adolescents and can be divided into cognitive-affective and somatic dimensions. Sleep disturbance has been consistently associated with depressive symptoms. However, few studies have examined whether its associations differ across symptom dimensions or whether body mass index moderates these links. This study aimed to investigate the longitudinal associations between sleep disturbance and subsequent depressive symptom dimensions and to explore the moderating effect of body mass index.</div></div><div><h3>Methods</h3><div>A total of 9726 adolescents who completed standardized questionnaires and physical examinations at both baseline and follow-up were included. Sleep disturbance, body mass index, and covariates were assessed at baseline. Depressive symptoms were measured at baseline and follow-up using the 9-item Patient Health Questionnaire (PHQ-9) and categorized into cognitive-affective and somatic domains. Mixed linear regression models, interaction analyses, and subgroup analyses were used to examine the associations.</div></div><div><h3>Results</h3><div>After adjusting for covariates and baseline depressive symptoms, adolescents with sleep disturbance had significantly higher scores for overall (β = 1.51; 95% CI, 1.28-1.75), cognitive-affective (β = 0.53; 95% CI, 0.42-0.64), and somatic (β = 0.99; 95% CI, 0.85-1.13) depressive symptoms, compared with those without sleep disturbance. A modest positive interaction between sleep disturbance and body mass index was observed for somatic symptoms (β = 0.01; 95% CI, 0.001-0.01), but not for cognitive-affective or overall depressive symptoms. Stratified analyses showed a slightly higher β-estimate among adolescents with obesity than those without (β = 1.06; 95% CI, 0.57-1.56).</div></div><div><h3>Conclusions</h3><div>These findings highlight the relevance of sleep disturbance and body mass index in relation to dimension-specific depressive symptoms among adolescents.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 589-598"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148340526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammation, sleep, and trait mindfulness in pregnancy","authors":"Lorrie Schmid PhD,&nbsp;Laura Etzel PhD,&nbsp;Sarah J. Short PhD,&nbsp;Cathi Propper PhD,&nbsp;W. Roger Mills-Koonce PhD,&nbsp;Victoria K. Lee PhD,&nbsp;Patricia Garrett-Peters PhD","doi":"10.1016/j.sleh.2026.04.004","DOIUrl":"10.1016/j.sleh.2026.04.004","url":null,"abstract":"<div><h3>Objectives</h3><div>Excessive systemic inflammation during pregnancy is a risk for adverse birth outcomes. Maternal sleep is related to systemic inflammation and may be modifiable through mindful thoughts and behaviors. In this cohort study, we explored the relationships among inflammation, sleep quality, and mindfulness during pregnancy.</div></div><div><h3>Methods</h3><div>Pregnant persons (N = 122) 31.3 ± 5.3 years old, 32% self-identified Black and 57% self-identified White, were recruited during the second and third trimesters. Inflammation was assessed using interleukin-6 (IL-6). The Pittsburgh Sleep Quality Index was used to assess sleep quality, and the Three Facet Mindfulness Questionnaire was used to assess four mindfulness facets (i.e., overall mindfulness, nonjudging to inner experience, nonreactivity to inner experience, and acting with awareness). Relationships between inflammation, sleep quality, mindfulness, and the interaction between sleep and mindfulness were examined using linear regression.</div></div><div><h3>Results</h3><div>Lower inflammation (IL-6) was associated with higher acting with awareness (β = −0.20, 95% CI [−0.53, −0.05], <em>p</em> = .003). Higher inflammation was nonstatistically significant with lower sleep quality (β = 0.19, 95% CI [−0.13, 0.35], <em>p</em> = <em>.</em>05). Controlling for covariates, the interaction between sleep quality and acting with awareness was significant (β = −0.63, 95% CI [−0.85, −0.40], <em>p</em> &lt; .001), indicating that mindfulness may mitigate the relationship between poor sleep quality and higher inflammation.</div></div><div><h3>Conclusions</h3><div>In this sample, poor sleep quality was associated with higher levels of inflammation for women with lower levels of acting with awareness. Mindfulness interventions might be a cost-effective solution to decrease inflammation through improved sleep quality among pregnant women, potentially reducing adverse birth outcomes.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"12 4","pages":"Pages 557-564"},"PeriodicalIF":4.8,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}