Mental Health and Physical Activity最新文献

{"title":"The longitudinal relation between purpose in life and accelerometer-measured physical activity","authors":"Angelina R. Sutin ,&nbsp;Martina Luchetti ,&nbsp;Tiia Kekäläinen ,&nbsp;Yannick Stephan ,&nbsp;Antonio Terracciano","doi":"10.1016/j.mhpa.2026.100762","DOIUrl":"10.1016/j.mhpa.2026.100762","url":null,"abstract":"<div><h3>Background and aims</h3><div>Purpose in life is associated consistently with accelerometer-measured physical activity assessed concurrently. This research addresses the longitudinal relation between purpose and accelerometry-measured physical activity among older adults.</div></div><div><h3>Methods</h3><div>Participants from the National Health and Aging Trends Study (<em>N</em> = 747; Mean_age = 79.20) reported on their purpose and wore an accelerometer at four annual assessments. Physical activity was quantified with four metrics: total activity counts, number of active bouts, activity fragmentation, and sedentary fragmentation.</div></div><div><h3>Results</h3><div>Consistent with cross-sectional associations, purpose at baseline was associated prospectively with the four metrics measured one and two years later (median β = .08) but attenuated for two of the metrics at year three. Baseline purpose was associated with the intercept of physical activity but not change across the assessments. Within-person, participants were more physically active at assessments when their purpose was higher than their average.</div></div><div><h3>Conclusions</h3><div>Purpose in life is a short-term prospective and within-person predictor of physical activity but is unrelated to the rate of change in accelerometer-measured physical activity over three years in older adulthood.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100762"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screen use, physical activity, and sleep among adolescents: A latent class analysis of 4,421 Danish adolescents’ movement patterns and the correlation with mental health","authors":"Mette Nygaard ,&nbsp;Susan Andersen ,&nbsp;Mette Toftager ,&nbsp;Mette Rasmussen ,&nbsp;Katrine Rich Madsen ,&nbsp;Christina Bjørk Petersen","doi":"10.1016/j.mhpa.2025.100726","DOIUrl":"10.1016/j.mhpa.2025.100726","url":null,"abstract":"<div><h3>Background and aims</h3><div>Screen use, physical activity, and sleep independently impact adolescents’ mental health, yet further exploration is needed to understand its dynamic impact. This study aimed to examine how movement behaviour cluster in Danish adolescents and how these movement patterns correlate with mental health.</div></div><div><h3>Methods</h3><div>Data were collected among Danish adolescents as part of the cross-sectional Health Behaviour in School-Aged Children (HBSC) study in 2018 and 2022. Study population comprised 4421 adolescents (51.5 % girls, age 11, 13 and 15). Latent class analysis was performed separately for boys and girls based on self-reported screen time (5 items), physical activity level (2 items), and sleep duration (1 item). Associations between classes and mental health (mental wellbeing, psychosomatic complaints, and body image) were evaluated using adjusted regression models stratified on sex.</div></div><div><h3>Results</h3><div>Three movement patterns were identified. Class 1 represented medium screen users with high physical activity (34.3 % of boys; 28.1 % of girls); class 2 represented medium screen users with low physical activity (41.8 %; 42.5 %); and class 3 represented high screen users with short sleep duration (23.8 %; 29.3 %). Compared to class 1, adolescents in class 2 and 3 reported substantially poorer mental wellbeing, more psychosomatic complaints, and poorer body image, especially girls in class 3.</div></div><div><h3>Conclusion</h3><div>Screen use, sleep, and physical activity behaviour tend to group in three movement patterns among Danish adolescents. The identified patterns were associated with notable differences in mental health outcomes. Results emphasize the benefits of high physical activity, low screen time and sufficient sleep, supporting interventions targeting multiple movement behaviours at once.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100726"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145600406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of 12 sessions of high-intensity interval training (HIIT) on depressive symptoms among high-school students: a cluster-randomized trial","authors":"Vithória Oleiro ,&nbsp;Eduardo Gauze Alexandrino ,&nbsp;Yuri da Gama Rodrigues ,&nbsp;Pâmela Moraes Volz ,&nbsp;Samuel Carvalho Dumith","doi":"10.1016/j.mhpa.2026.100779","DOIUrl":"10.1016/j.mhpa.2026.100779","url":null,"abstract":"<div><h3>Background</h3><div>Depression is a significant mental health concern in adolescents (global prevalence of 3.4%). High-intensity interval training (HIIT) is an effective nonpharmacological strategy for reducing depressive symptoms, but Brazilian school-based studies scarce. This study examined the effect of 12 HIIT sessions on depressive symptoms among high school students.</div></div><div><h3>Methods</h3><div>This was a cluster-randomized trial involved 192 adolescents (15–17 years) from a public school in Rio Grande, RS, Brazil. Classes were cluster-randomized (1:2) to intervention (n = 2) or control (n = 4). The intervention consisted of 12 brief HIIT sessions (10 min each, twice weekly) over six weeks, with intensity based on MAS. Depressive symptoms were assessed using the DASS-Y scale before and after intervention. Statistical analyses used linear and Poisson regression, adjusted for sex, age, asset index, physical activity, social media use, VO2max, and baseline score.</div></div><div><h3>Results</h3><div>The final sample was 176 participants (7.8% attrition). Post-intervention, a mean difference of −2.25 points (95% CI: −4.37 to −0.12; p = 0.038) was observed in depressive symptom scores between groups. The intervention group had a 52% greater probability of score reduction (PR = 1.52; 95% CI: 1.05 to 2.19; p = 0.025) and an 85% greater probability (PR = 1.85; 95% CI: 1.02 to 3.34; p = 0.041) of improvement in depressive-symptom classification. Sensitivity analysis revealed a dose-response effect, greater perceived effort associated with larger improvements.</div></div><div><h3>Conclusions</h3><div>Short-duration HIIT implemented in a school setting was associated with reductions in depressive symptoms in adolescents, with effects dependent on perceived intensity. These findings suggest that intervention is feasible for promoting adolescent mental health.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100779"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147950774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of moderate to vigorous physical activity with cognitive performance and risk of cognitive impairment: A cross-sectional study and Mendelian randomization analysis","authors":"Qifeng Han ,&nbsp;Sung Min Kim","doi":"10.1016/j.mhpa.2025.100744","DOIUrl":"10.1016/j.mhpa.2025.100744","url":null,"abstract":"<div><h3>Background</h3><div>Cognitive performance and cognitive impairment are critical indicators of brain health in older adults, with moderate-to-vigorous physical activity (MVPA) suggested as protective, though its causal relationship remains unclear.</div></div><div><h3>Methods</h3><div>Using data from the National Health and Nutrition Examination Survey (NHANES), weighted linear and logistic regression assessed associations between MVPA, cognitive performance, and cognitive impairment risk. Restricted cubic spline and subgroup analyses examined dose–response and robustness. Additionally, genome-wide association study (GWAS) data were used for two-sample Mendelian randomization to explore causality.</div></div><div><h3>Results</h3><div>Cross-sectional analysis showed that moderate MVPA was associated with better cognitive performance (β = 0.35, <em>p</em> = 0.015) and exhibited a nonlinear trend. High levels of MVPA were significantly associated with a reduced risk of cognitive impairment (OR = 0.44, <em>p</em> = 0.009). Subgroup analysis indicated consistent associations between physical activity and cognitive outcomes across different populations without significant interactions. The MR analysis demonstrated a negative effect of MVPA on cognitive performance (β = −0.54, <em>p</em> &lt; 0.001). However, no significant causal relationship was found between MVPA and the risk of cognitive impairment.</div></div><div><h3>Conclusion</h3><div>MVPA was associated with better cognitive performance and a lower risk of cognitive impairment in cross-sectional analyses, but MR findings did not support a protective causal effect and indicated a potential negative association with cognitive performance. These mixed results suggest that the causal impact of MVPA on cognitive health in later life remains uncertain, and that the potential benefits and optimal dose of MVPA should be clarified in future large-scale longitudinal and intervention studies using objective and age appropriate assessments of activity.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100744"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prospective relationship between neck pain and depressive symptoms, and the moderating effect of physical exercise","authors":"Cameron Dickson ,&nbsp;Anastasia Ejova ,&nbsp;Rutger M.J. de Zoete","doi":"10.1016/j.mhpa.2026.100772","DOIUrl":"10.1016/j.mhpa.2026.100772","url":null,"abstract":"<div><h3>Background and aims</h3><div>Chronic neck pain (CNP) is common, and causes significant individual and societal burden. CNP can be associated with depression and as co-morbidities yield worse clinical outcomes. Evidence supports exercise as a conservative intervention for CNP and depression independently but little is known about the impact of exercise on the CNP-depression relationship.</div></div><div><h3>Methods</h3><div>The 1958 British Cohort provided self-reported data on CNP at age 45, and depressive symptoms at ages 45 (Clinical Interview Schedule–Revised) and 50 (Short Form–36). Cross-sectional and prospective relationships were analysed by fitting logistic regression models adjusted only for sex, and fully adjusted for multiple covariates. All models incorporated CNP, weekly exercise (yes/no) and an interaction term. Area under the receiver operating characteristic curve was calculated for all models, and sensitivity analysis with multiple imputation for missing data was completed for full models.</div></div><div><h3>Results</h3><div>CNP was associated with depressive symptoms cross-sectionally (full model <em>OR</em> = 1.67; 95% CI 1.19, 2.35, <em>N</em> = 7493; <em>p</em> = 0.003) and prospectively (full model <em>OR</em> = 1.54; 95% CI 1.11, 2.16; <em>N</em> = 6341; <em>p</em> = 0.011). No moderating effect of exercise was observed. Both full models had a binary classification accuracy of approximately 70%, even when CNP or the exercise x CNP interaction were removed as predictors.</div></div><div><h3>Conclusion</h3><div>Individuals with CNP are at higher risk of concurrent and future depressive symptoms. Though exercise is a promising clinical intervention for depression amongst persons with CNP, we did not find it to have a moderating effect. Further research in larger cohorts is recommended.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100772"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147797731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting the risk of depression and cognitive impairment in older adults based on physical activity trajectories: A multi-cohort study using attention mechanisms and machine learning","authors":"Zhenhao Lin ,&nbsp;Young-Je Sim ,&nbsp;Xiong Zhang","doi":"10.1016/j.mhpa.2026.100777","DOIUrl":"10.1016/j.mhpa.2026.100777","url":null,"abstract":"<div><h3>Background</h3><div>Depression and cognitive impairment exhibit high prevalence and synergistic deterioration among older adults. However, existing predictive approaches often rely on static assessments and may not adequately capture dynamic changes in physical activity and physical function over time.</div></div><div><h3>Methods</h3><div>We integrated data from ELSA (n = 4941) and HRS (n = 9217) cohorts. A Transformer-based architecture was deployed to select key features from 29 variables, followed by the evaluation of 12 machine learning algorithms with external validation in HRS. Longitudinal trajectories were constructed using gait speed, peak expiratory flow, grip strength, and vigorous physical activity. Additionally, SHAP and CART analyses were employed to identify key predictors of functional decline.</div></div><div><h3>Results</h3><div>Eight of the 20 selected key features were activity-related. SHAP analysis highlighted gait speed and peak expiratory flow as top predictors with non-linear thresholds, surpassing demographics. A “gradual decline” trajectory raised comorbidity risk (mean RR 1.74) to levels near the “persistently inactive” group. Late-life improvement demonstrated an incomplete “catch-up effect,” retaining 27–98% excess risk.</div></div><div><h3>Conclusion</h3><div>Physical activity trajectories were important dynamic predictors of depression-cognition comorbidity risk. Declining trajectories were associated with substantially higher risk, whereas late-life improvement showed an incomplete “catch-up” pattern during follow-up. Gait speed and peak expiratory flow emerged as prominent predictive markers and may support early functional risk stratification in older adults.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100777"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147849549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trajectories of anxiety, depression, and obsessive–compulsive symptoms in Chinese university students with and without curriculum-embedded traditional martial arts: A three-year multigroup analysis","authors":"Xiao hui Chen ,&nbsp;Richard Bailey ,&nbsp;Fu rong Jiao ,&nbsp;Qian you Fang ,&nbsp;Nadia Samsudin","doi":"10.1016/j.mhpa.2026.100755","DOIUrl":"10.1016/j.mhpa.2026.100755","url":null,"abstract":"<div><h3>Objective</h3><div>To examine longitudinal changes in obsessive–compulsive symptoms (OCS), anxiety, and depression among Chinese university students, comparing those enrolled in curriculum-based traditional martial arts (TMA) with non-participants, and to test whether baseline anxiety and depression predicted subsequent OCS trajectories.</div></div><div><h3>Methods</h3><div>First-year students (<em>N</em> = 494; TMA: <em>n</em> = 288; non-TMA: <em>n</em> = 206; men: <em>n</em> = 184 [37.2%], women: <em>n</em> = 310 [62.8%]; age: <em>M</em> = 19.0 years, <em>SD</em> = 1.1, range = 18–22) were assessed across four waves over three academic years. Symptoms were measured using the SCL-90-R obsessive–compulsive, anxiety, and depression subscales. Latent growth curve models (LGCMs) estimated trajectories and group differences; conditional models tested whether baseline anxiety and depression predicted OCS change.</div></div><div><h3>Results</h3><div>At baseline, groups did not differ significantly in any symptom. Over time, TMA participants showed a significant within-group decline in OCS (slope = −.915, <em>p</em> &lt; .001), whereas non-TMA change was nonsignificant (slope = −.500, <em>p</em> = .120); the between-group difference in total change was nonsignificant (ΔTotal = −1.376, 95% CI [−3.39, .64], <em>p</em> = .180). Anxiety and depression followed concave-down quadratic trajectories—an early increase followed by leveling off and/or decline. The anxiety contrast was nonsignificant (ΔTotal = −.950, 95% CI [−2.43, .53], <em>p</em> = .209), whereas depression favored TMA (ΔTotal = −2.349, 95% CI [−4.54, −.16], <em>p</em> = .035). Baseline depression was weakly associated with a smaller decline in OCS over time (b = .210, 95% CI [.00, .42], <em>p</em> = .049).</div></div><div><h3>Conclusion</h3><div>Across three years, OCS declined significantly within the TMA group, while depression showed a small but significant advantage for TMA by Wave 4 within a nonlinear trajectory. Baseline depression weakly predicted slower OCS improvement. These observational findings suggest curriculum-embedded, culturally grounded movement courses may support student well-being, warranting multi-site randomized evaluation.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100755"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cross-sectional and longitudinal associations between parental mental wellbeing and adolescents’ physical activity, sedentary digital media use, and body mass index","authors":"Lauri Hietajärvi ,&nbsp;Erika Maksniemi ,&nbsp;Jari Lahti ,&nbsp;Kirsti Lonka ,&nbsp;Heli Viljakainen ,&nbsp;Elina Engberg","doi":"10.1016/j.mhpa.2025.100749","DOIUrl":"10.1016/j.mhpa.2025.100749","url":null,"abstract":"<div><h3>Background</h3><div>The impact of parental mental wellbeing on adolescent physical activity, digital media use, and body mass index (BMI) remains understudied. We aimed to identify parental mental wellbeing profiles when adolescents were 11 years old and to examine whether parental mental wellbeing, both as profiles and continuous variables, is associated with adolescents’ physical activity, digital media use, and BMI at ages 11 and 14.</div></div><div><h3>Methods</h3><div>The study included 5839 parent–adolescent pairs in a 3-year follow-up. At baseline (mean adolescent age 11 years), parents completed the Short Form Beck Depression Inventory, the Sense of Coherence (SOC) Scale, and the RAND-36 Mental Component Summary. Adolescents reported physical activity and sedentary digital media use via questionnaire, and their height and weight were measured to calculate BMI z-scores at baseline and follow-up (mean age 14 years).</div></div><div><h3>Results</h3><div>Latent profile analysis identified three parental mental wellbeing profiles: balanced (82 %), somewhat balanced (13 %), and unbalanced (5 %). Better parental mental wellbeing, analysed as a continuous latent variable rather than profiles, was associated with higher adolescent physical activity and lower digital media use at age 11. These associations were still observed at age 14, more strongly for physical activity. Among individual mental wellbeing indicators, greater parental depressive symptoms were associated with lower physical activity, while higher SOC was associated with less digital media use. We observed no associations between parental mental wellbeing and adolescent BMI.</div></div><div><h3>Conclusions</h3><div>These findings highlight the association of better parental mental wellbeing with higher adolescent physical activity and lower digital media use.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100749"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear dose-response relationships between screen time–based sedentary behavior and depression in adolescents: a systematic review and multilevel meta-analysis","authors":"Dongyang Guan,&nbsp;Junli Wang,&nbsp;Qiushi Yang,&nbsp;Zhi Qiao","doi":"10.1016/j.mhpa.2026.100766","DOIUrl":"10.1016/j.mhpa.2026.100766","url":null,"abstract":"<div><h3>Background</h3><div>Depression is a major global public health issue and can be influenced by lifestyle factors such as screen time (ST). Adolescences is a critical period for mental health development and given rising ST trends coupled with low adherence to ST guidelines among youth, understanding the relationship between ST and depression, while quantifying risk thresholds across different subgroups, is crucial for developing targeted interventions.</div></div><div><h3>Methods</h3><div>We searched PubMed, Web of Science, Scopus, CNKI and Cochrane Library databases to identify relevant studies and screen their references. Odds ratio (OR) and 95% confidence interval (CI) were used as effect size measures. The least squares trend estimation method was used for the dose-response meta-analysis. All statistical analyses were performed using <em>R</em> Studio (version 4.4.1).</div></div><div><h3>Results</h3><div>Seventy-three studies (57 cross-sectional and 16 longitudinal), involving a total of 841,375 participants, were included. Higher ST in adolescents was significantly associated with a higher risk of depression [OR = 1.25, 95% CI: 1.19–1.30, <em>p</em> &lt; 0.001]. Significant moderators included ST type, day type, and study design. Compared with the reference group (&lt;1h/day or ≤1 h/day), the dose-response analysis revealed a non-linear relationship between ST and depression. Adolescents who exceeded 2.02 h/day of overall ST exhibited a significantly higher risk of depression. Device-specific analyses further showed that depression risk increased significantly when ST exceeded 2.53 h per day for social media use and 2.89 h per day for smartphone use.</div></div><div><h3>Conclusions</h3><div>These findings indicate that the association between ST and depression in adolescents is not uniform, but varies by exposure level, screen type, and study design, highlighting the need for a more nuanced interpretation of existing evidence.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100766"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147420664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between sleep disturbances and physical activity with depressive symptoms, and their association to self-harm thoughts among Brazilian university students: A cross-sectional machine learning study","authors":"Maria Jeane Guimarães Camargo ,&nbsp;Laís Francielle Francisca Felício ,&nbsp;Felipe Barreto Schuch ,&nbsp;Debora Tornquist ,&nbsp;Andrea Camaz Deslandes ,&nbsp;Ana Carolina Guidorizzi Zanetti ,&nbsp;Daniel Alvarez Pires ,&nbsp;Danilo Rodrigues Pereira da Silva ,&nbsp;Fabianna Resende de Jesus-Moraleida ,&nbsp;Helena Ferreira Moura ,&nbsp;Luis Eduardo Wearick-Silva ,&nbsp;Nicole Leite Galvão-Coelho ,&nbsp;Thiago Sousa Matias ,&nbsp;Renato Sobral Monteiro-Júnior","doi":"10.1016/j.mhpa.2025.100750","DOIUrl":"10.1016/j.mhpa.2025.100750","url":null,"abstract":"<div><h3>Background</h3><div>The transition period from high school to university is marked by numerous changes in an individual's life, which extend beyond the academic sphere.</div></div><div><h3>Aims</h3><div>To examine the associations between physical activity, sleep disturbances, depressive symptoms, and self-harm thoughts among Brazilian university students, while identifying high-risk profiles using machine learning.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 787 students (≥18 years) from 11 universities. Validated instruments (PHQ-9, PSQI, DSM-5-CCSM, SMILE) were administered. Analyses included descriptive statistics, binary logistic regression, and predictive modeling.</div></div><div><h3>Results</h3><div>Insufficient physical activity (OR = 2.21; 95 % CI 1.43–3.41) and sleep disturbances (OR = 5.41; 95 % CI 3.59–8.14) significantly increased the odds of depressive symptoms (p &lt; 0.001). Depressive symptoms substantially elevated the risk of self-harm thoughts (OR = 7.50; 95 % CI, 3.07–18.35; p &lt; 0.01), as well sleep disturbances (OR = 1.79; 95 % CI, 1.09–2.92; p = 0.022). Machine learning models identified four distinct risk profiles for depressive symptoms based on sociobehavioral characteristics. The study also considered household income and intersectional factors related to the mental health of university students, integrating these variables into the profile analysis.</div></div><div><h3>Conclusion</h3><div>The co-occurrence of physical inactivity and sleep disturbances predisposes individuals to depressive symptoms, which in turn increases vulnerability to suicidal ideation. Lifestyle factors and social identity modulate this risk, highlighting the need for targeted interventions.</div></div>","PeriodicalId":51589,"journal":{"name":"Mental Health and Physical Activity","volume":"30 ","pages":"Article 100750"},"PeriodicalIF":2.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}