Clocks & Sleep最新文献

{"title":"Global Sleep Quality and Uncontrolled Eating Among Romanian Healthcare Students: The Mediating Pathway of Emotional Eating.","authors":"Iustina-Gabriela Mihăianu, Andreea-Sabina Butucaru, Magdalena Iorga, Raluca Ortensia Cristina Iurcov","doi":"10.3390/clockssleep8030057","DOIUrl":"10.3390/clockssleep8030057","url":null,"abstract":"<p><strong>Background: </strong>Healthcare university students face disruptive sleep schedules and irregular meals caused by busy schedules, multiple activities, and stressful internships. This study aimed to investigate the complex relationships between sleep quality, psychological eating dimensions (cognitive restraint, uncontrolled eating, and emotional eating), accommodation, history of diets and late-night food intake, while evaluating the impact of demographic factors such as age, sex, and residential background.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted among a sample of Romanian healthcare university students (<i>n</i> = 265; 74.3% women). Psychometric evaluation included the Pittsburgh Sleep Quality Index (PSQI) and the Three-Factor Eating Questionnaire (TFEQ-R21). Sociodemographic data (age, gender, environment and accommodation) and information about diets were collected. Late-night food intake was defined as eating after 21:00. Data processing and analysis were performed using IBM Statistical Package for the Social Sciences (SPSS) for Windows, version 26 (SPSS Inc., Chicago, IL, USA).</p><p><strong>Results: </strong>Students exhibit poor global sleep quality, which positively correlated with all TFEQ-R21 subscales. Students with a prior history of following weight-loss diets demonstrated significantly elevated levels of intentional food monitoring and psychological eating disinhibition compared to non-dieters. Urban students feel greater psychological pressure to constantly and consciously control what they eat. Students living in dormitories (Mdn = 2.50, IQR = 1.83) and those living in rented apartments (Mdn = 2.17, IQR = 1.50) reported significantly higher Emotional Eating scores compared to students residing with their parents. Male students demonstrated a substantially higher prevalence of late-night food consumption compared to female students (77.9% vs. 59.4%). Cognitive restraint and female gender protect against nighttime snacking, while uncontrolled eating and poor-quality sleep significantly increase this risk. After adjusting for age, sleep disturbances were positively associated with emotional eating (Path a: B = 0.0967, β = 0.320, <i>p</i> < 0.001, R² = 0.109), which in turn was strongly associated with uncontrolled eating (Path b: B = 0.4621, β = 0.709, <i>p</i> < 0.001). While the model explained 52.16% of the variance in uncontrolled eating, this was driven almost entirely by path b, as the initial contribution of sleep was considerably smaller (Path a: R² = 0.109), yielding a significant standardized indirect association (β = 0.227, 95% BootCI [0.148, 0.309]).</p><p><strong>Conclusions: </strong>Sleep disturbances are linked to uncontrolled eating patterns primarily through their shared indirect association with emotion-driven eating. Prioritizing weight loss over health promotion increases students' psychological vulnerability.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Breast Milk Energy Intake, Infant Sleep Duration and Time Until Next Feed.","authors":"Kaitlyn A Rae, K Swaminathan Iyer, Nicolas L Taylor, Sharon L Perrella, Jacki L McEachran, Zoya Gridneva, Ashleigh H Warden, Ching Tat Lai, Philip Vlaskovsky, Donna T Geddes","doi":"10.3390/clockssleep8030056","DOIUrl":"10.3390/clockssleep8030056","url":null,"abstract":"<p><strong>Background: </strong>Sleep in early infancy supports neurodevelopment, yet the influence of breast milk composition on sleep duration remains unclear.</p><p><strong>Objective: </strong>To determine whether breast milk energy intake is associated with the duration and timing of subsequent infant sleep episodes.</p><p><strong>Methods: </strong>Thirty-four healthy, fully breastfeeding mother-infant dyads (infant age: 3.7 ± 1.3 months) recorded 24-h infant feeding and sleep data, with feed volumes measured by pre- and post-feed test-weighing. Milk samples were collected and analysed for macronutrient concentrations to calculate energy intake per feed. Linear mixed-effects models were used to examine whether energy intake from the preceding feed was associated with subsequent sleep duration. Additional models evaluated lagged and cumulative energy intake, and mixed-effects modelling was used for associations between feed energy and time until the next feed.</p><p><strong>Results: </strong>Intake for 24-h infant breast milk was 851.8 ± 194.2 mL and sleep duration was 15.5 ± 3.4 h. The mean energy density of the feeds was 674.7 ± 140.7 kcal/L. Energy intake for the breastfeed preceding a sleep episode was not associated with sleep duration (<i>β</i> = 4.13 min; 95% CI -0.89 to 9.15; <i>p</i> = 0.106). Energy intake from lagged feeds and cumulative energy intake across the three preceding breastfeeds were also not associated with sleep duration (<i>p</i> = 0.171 and <i>p</i> = 0.290 respectively) nor the time until the next breastfeed (<i>β</i> = -0.025; 95% CI -6.2 to 1.4; <i>p</i> = 0.212).</p><p><strong>Conclusions: </strong>In healthy breastfed infants, the energetic content of breast milk feeds was not associated with subsequent sleep duration or the time until the next feed. These findings suggest that infant sleep-wake behaviour and feeding patterns were not associated with short-term variation in breast milk energy intake. Other factors, including circadian and developmental processes, are likely to contribute to infant sleep behaviour.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Sleep Duration and Physical Activity with Academic and Physical Education Performance Among Moroccan Adolescents.","authors":"Anass Akhittouch, Hamid El Oirdi, Aziz Chokri, Mohamed Barkaoui, Said Ihbour, Aziz Eloirdi","doi":"10.3390/clockssleep8030055","DOIUrl":"10.3390/clockssleep8030055","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background/objectives: &lt;/strong&gt;Sleep duration and physical activity are important lifestyle behaviors that may influence adolescents' academic and Physical Education (PE) performance. However, evidence regarding their associations with Physical Education (PE) performance remains limited, particularly in North African populations. This study aimed to examine the relationships between sleep duration, physical activity, and academic and PE performance among Moroccan adolescents.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A cross-sectional study was conducted among 439 Moroccan adolescents aged 14-20 years. Data were collected using the Arab Teens Lifestyle Study (ATLS) questionnaire. Sleep duration, physical-activity level (metabolic equivalent minutes per week [MET-min/week]), overall academic average, average grade in science subjects, and final PE grade were assessed. Pearson correlation analyses and multivariate analysis of variance (MANOVA) with follow-up univariate analyses were performed, with Games-Howell post hoc comparisons used for PE performance.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Sleep duration was positively associated with overall academic average (r = 0.147, &lt;i&gt;p&lt;/i&gt; = 0.002) and final PE grade (r = 0.167, &lt;i&gt;p&lt;/i&gt; = 0.001), but not with average grade in science subjects (r = 0.080, &lt;i&gt;p&lt;/i&gt; = 0.099). Physical activity was positively associated with overall academic average (r = 0.169, &lt;i&gt;p&lt;/i&gt; &lt; 0.001) and final PE grade (r = 0.166, &lt;i&gt;p&lt;/i&gt; = 0.001), but not with average grade in science subjects (r = -0.009, &lt;i&gt;p&lt;/i&gt; = 0.851). Overall academic average was strongly correlated with science average (r = 0.809, &lt;i&gt;p&lt;/i&gt; &lt; 0.001) and moderately correlated with final PE grade (r = 0.474, &lt;i&gt;p&lt;/i&gt; &lt; 0.001). multivariate analysis of variance (MANOVA)revealed a significant but small overall difference in combined academic and PE performance across the four sleep-duration and physical-activity groups (Pillai's Trace = 0.034, F(6, 870) = 2.522, &lt;i&gt;p&lt;/i&gt; = 0.020, partial η&lt;sup&gt;2&lt;/sup&gt; = 0.017). Follow-up analyses showed no significant group differences in overall academic average (F(3, 435) = 1.460, &lt;i&gt;p&lt;/i&gt; = 0.225, partial η&lt;sup&gt;2&lt;/sup&gt; = 0.010), whereas PE performance differed significantly across groups (F(3, 435) = 4.040, &lt;i&gt;p&lt;/i&gt; = 0.007, partial η&lt;sup&gt;2&lt;/sup&gt; = 0.027).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Sleep duration and physical activity showed weak but significant positive associations with overall academic average and PE performance among Moroccan adolescents, whereas neither was significantly associated with average grades in science subjects. Combined sleep-duration and physical-activity groups differed significantly in PE performance, but not in overall academic average, with small effect sizes. These findings suggest that sleep duration and physical activity are associated with adolescent performance, although the magnitude of these associations is modest and should not be interpreted as causal. Further longitudinal research usi","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HRV-Based Respiratory-Rate Estimation in Older Adults: Error Modeling and Pilot Validation for Wearable Sleep Monitoring.","authors":"Emi Yuda, Naoya Morikawa, Junichiro Hayano","doi":"10.3390/clockssleep8030054","DOIUrl":"10.3390/clockssleep8030054","url":null,"abstract":"<p><p>Respiratory frequency is a critical biomarker in sleep medicine and circadian biology. We investigated whether the high-frequency (HF) component of heart-rate variability (HRV)-which reflects respiratory sinus arrhythmia (RSA)-can serve as a non-invasive proxy for breathing rate estimation from ECG or PPG. We employed a two-stage validation design: (1) a physiologically calibrated simulation study (N = 30 per condition, five conditions, 180 s recordings) for controlled error characterization using the PhysioNet ECG-ID Database (Electrocardiogram Identification Database, DOI: 10.13026/C2XW26) as the processing pipeline reference; and (2) pilot real-data validation in N = 10 older adult participants (mean age 71.3 years) with simultaneous ECG and thermistor respiratory reference measured using the East Medic Biotope Mini (1000 Hz). Results: Under controlled resting conditions, simulation yielded MAE = 0.46 bpm (SNR = 4.8). An empirical error formula MAE = 2.017 × SNR^(-1.187) (R² = 0.71) was derived. In the real-data validation, 4/10 participants achieved MAE ≤ 2.0 bpm; the remaining 6/10 showed errors of 6-17 bpm attributable to non-respiratory HF oscillations, harmonic confusion, and breathing rate variability. The HF-peak method is reliable when SNR is high and breathing is regular but requires additional quality criteria beyond SNR alone in older adult populations where non-respiratory HF oscillations may confound spectral peak detection.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605350/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Sleep Quality, Mental Health, and Vitality in Professional Drivers: A Cross-Sectional Study.","authors":"Gabriela Roxana Louisse Neacşu, Agripina Rașcu","doi":"10.3390/clockssleep8030053","DOIUrl":"10.3390/clockssleep8030053","url":null,"abstract":"<p><p>Professional drivers are exposed to work conditions that may affect sleep quality. Although poor sleep quality has been associated with lower mental health (MH) and vitality (VT), its relationship with these outcomes in professional drivers remains unclear. This cross-sectional study examined the association between sleep quality and selected health-related quality-of-life (HRQoL) domains among 399 professional drivers. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). At the same time, HRQoL was evaluated using the Mental Health, Vitality, and Bodily Pain domains of the 36-Item Short Form Health Survey. Correlation and regression analyses were performed. The mean PSQI score was 8.59, indicating overall poor sleep quality. Higher PSQI scores were negatively associated with MH (ρ = -0.384, <i>p</i> < 0.001) and VT (ρ = -0.495, <i>p</i> < 0.001). Sleep quality remained an independent predictor of MH (B = -2.47, <i>p</i> < 0.001; R² = 0.155) and VT (B = -4.10, <i>p</i> < 0.001; R² = 0.268), whereas age showed a modest association only with VT (B = -0.235, <i>p</i> = 0.035). Poor sleep quality was associated with lower MH and VT scores among professional drivers. The stronger association observed for VT suggests that sleep quality may be particularly relevant to energy levels and daily functioning in this study population.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605273/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the Effects of a Short Nap and Non-Sleep Deep Rest on Perceptual, Cognitive, and Physical Performance in Active Adults.","authors":"Omar Boukhris, Haresh Suppiah, Matthew Driller","doi":"10.3390/clockssleep8030052","DOIUrl":"10.3390/clockssleep8030052","url":null,"abstract":"<p><p>This study compared the effects of a 25-min nap opportunity and a 10-min non-sleep deep rest (NSDR) condition on perceptual, cognitive, and physical performance in physically active young adults. Sixty participants (26 female, 34 male; 22 ± 4 years) were randomly assigned to one of three groups (nap, NSDR, control; <i>n</i> = 20 each). All groups completed identical assessments immediately, 20 min, and 40 min post-intervention. Mixed-effects models, adjusted for sex, prior-night sleep, and weekly physical activity, revealed a significant group × time interaction for sleepiness, fatigue, readiness to perform, and handgrip strength (<i>p</i> < 0.05), whereas no significant group × time interaction was found for cognitive performance (reaction time and accuracy; <i>p</i> > 0.05). At 40 min post-intervention, the nap group reported lower fatigue than control (<i>p</i> = 0.01, Cohen's d = 0.98) and higher readiness to perform than both control (<i>p</i> < 0.001, Cohen's d = 1.48) and NSDR (<i>p</i> = 0.001, Cohen's d = 1.25). For handgrip strength, although a significant group × time interaction was observed, post-hoc comparisons showed no significant between-group differences at any time point. No significant effects were observed for the NSDR condition on perceptual, cognitive, or physical outcomes (<i>p</i> > 0.05). These findings indicate that a short nap can enhance perceived readiness and reduce fatigue after a brief latency period, whereas NSDR did not elicit significant effects under the present conditions.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microvascular Disease in the Hippocampus in Obstructive Sleep Apnoea.","authors":"Cuicui Xu, Jessica E Owen, Thorarinn Gislason, Bryndís Benediktsdóttir, Jiming Ye, Stephen R Robinson","doi":"10.3390/clockssleep8030051","DOIUrl":"10.3390/clockssleep8030051","url":null,"abstract":"<p><p>Ischemia is a primary cause of microvascular disease, particularly in the hippocampus, which is unusually vulnerable to hypoperfusion and hypoxia. Since intermittent hypoxia is a defining feature of obstructive sleep apnoea (OSA), the present study examined microvessels in autopsy tissue from patients with clinically confirmed OSA. Immunohistochemistry was performed on 30 hippocampal autopsy samples to investigate whether the incidence of microvascular abnormalities is associated with increased OSA severity, and if so, whether regular use of continuous positive airway pressure (CPAP) is protective. There were significantly more string vessels (4.3 ± 0.9 vs. 1.7 ± 0.4, <i>p</i> = 0.014), narrowing vessels (3.5 ± 1.0 vs. 0.9 ± 0.3, <i>p</i> = 0.024), strictures (2.6 ± 0.4 vs. 1.1 ± 0.2, <i>p</i> = 0.002) and total abnormalities (10.3 ± 1.5 vs. 3.7 ± 0.6, <i>p</i> = 0.001) in the CA1 subregion of the moderate-severe OSA group (mean ODI 35.9 ± 6.4 events/h sleep) than in the mild-moderate OSA group (mean ODI 18.5 ± 3.7 events/h sleep). There were no significant differences between regular CPAP users and non-CPAP users, or between younger and older individuals. We conclude that in moderate-severe OSA, the preponderance of microvascular abnormalities in the CA1, which are too narrow to carry blood, amplify its vulnerability to ischemia.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605731/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evidence on Sleep and Academic Achievement in First-Year University Students: A Scoping Review.","authors":"Diana R Pereira","doi":"10.3390/clockssleep8030050","DOIUrl":"10.3390/clockssleep8030050","url":null,"abstract":"<p><p>The transition from high school to university is a critical developmental period marked by substantial academic, social, and lifestyle changes that may increase vulnerability to academic difficulties, disengagement, and dropout. Given the importance of academic achievement for student retention and long-term success and the growing recognition of sleep as a modifiable determinant of academic performance, this scoping review examined how the relationship between sleep and academic achievement has been investigated among first-year university students. Following PRISMA guidelines, a systematic search identified 20 records representing 21 studies published between 2013 and 2026. Sleep duration and sleep quality were the most frequently examined domains, although findings were heterogeneous. Nevertheless, shorter sleep duration, particularly below 6-7 h per night, was generally associated with poorer academic achievement. Poor sleep quality was also linked to lower academic performance in some studies, with affective factors influencing this relationship. Sleep problems, including chronic sleep deprivation and risk of sleep disorders, showed consistent associations with poorer academic outcomes. Similarly, an evening chronotype was generally associated with poorer academic performance and adjustment. These findings emphasize sleep as an essential target for future research and initiatives aimed at promoting academic success and student retention during the transition to higher education.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13605022/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149040924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circadian Biology and Phase Response: Fundamental Mechanisms and Clinical Applications.","authors":"Malena L Mul Fedele, Daniel P Cardinali","doi":"10.3390/clockssleep8030048","DOIUrl":"10.3390/clockssleep8030048","url":null,"abstract":"<p><p>The circadian clock, located in the mammalian hypothalamus, regulates biological rhythms with a period of approximately 24 h, influencing nearly all body functions. Its timing is synchronised daily by external cues, primarily light, which align internal rhythms with the environmental cycle. Through this entrainment, the circadian system orchestrates physiological processes such as the sleep-wake cycle, feeding behaviour, gene expression and body temperature regulation. Melatonin, secreted by the pineal gland, also plays a key role as a synchroniser by facilitating sleep onset. Changes in environmental time cues, such as those experienced by shift workers, can disrupt the body's natural 24-h rhythms. This situation can lead to fatigue, significantly impacting accident rates and productivity, and, in the long term, to an increased risk of various health conditions. A Phase Response Curve (PRC) illustrates how the clock's phase is affected by stimuli administered at different points in the circadian cycle. In particular, both light and melatonin can induce phase shifts, but the direction and magnitude of this shift depend on the timing of administration. Understanding the PRC enables the design of interventions to realign circadian rhythms and improve adaptation to shift work. This review explores the physiological and clinical effects of circadian disruption in shift workers and discusses strategies to mitigate its impact.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13511752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of the COVID-19 Pandemic on Latinx College Students' Mental Health: Exploring the Role of Sleep, Social Support, and Attitudinal <i>Familismo</i> Support.","authors":"Mayra S Ramos, Pablo Soto, Chelsea Derlan Williams, Daniella Olivares, Alisandra Macias, Jennifer M Rohan, Gabriela León-Pérez, Kevin Allison, Natalie Dautovich, Joseph M Dzierzewski, Rosalie Corona","doi":"10.3390/clockssleep8030049","DOIUrl":"10.3390/clockssleep8030049","url":null,"abstract":"<p><p>College students experienced various disruptions to their daily life and changes to their physical and mental health because of the COVID-19 pandemic. Much remains unknown about protective factors that could buffer the negative impact of the COVID-19 pandemic on Latinx college students' mental health. Cross-sectional survey data collected during the pandemic was used to explore whether global sleep quality mediated associations between COVID-19 factors (i.e., negative experiences and racial/ethnic bias) and mental health outcomes (i.e., depressive and anxiety symptoms), and whether perceived social support and attitudinal <i>familismo</i> support served as moderators of this association. The current study included 490 Latinx college students (<i>M</i>_age = 19.1, 72.9% female). The mediation model had acceptable fit: χ² (<i>df</i> = 4) = 11.243, <i>p</i> = 0.024; RMSEA = 0.06; CFI = 0.99, SRMR = 0.01. Mediation results indicated that negative COVID-19 experiences (<i>β</i> = 0.12, 95% CI [0.09, 0.16], <i>p</i> = 0.001) and COVID-19 racial/ethnic bias (<i>β</i> = 0.04, 95% CI [0.01, 0.07], <i>p</i> = 0.023) were associated with worse global sleep quality, and, in turn, more severe mental health outcomes. There were no significant moderation effects. Implications for possible interventions to support Latinx college students' mental health, and future directions are discussed.</p>","PeriodicalId":33568,"journal":{"name":"Clocks & Sleep","volume":"8 3","pages":""},"PeriodicalIF":3.2,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13511539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148832814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}