Psychology Research and Behavior Management最新文献

{"title":"Aging, Cognition, and Depression: Unraveling the Psychological Pathways of Self-Perceptions of Aging.","authors":"Hao Song, Huawen Cui","doi":"10.2147/PRBM.S621845","DOIUrl":"10.2147/PRBM.S621845","url":null,"abstract":"<p><strong>Background: </strong>Negative self-perceptions of aging (SPA) have been identified as an important risk factor for depression among older adults. However, the mechanisms underlying this association remain unclear. This study examined whether cognitive function mediates the relationship between negative SPA and depression and whether socioeconomic status (SES) moderates this pathway.</p><p><strong>Methods: </strong>Data were obtained from 2583 Chinese older adults (M_age = 81.45 years, <i>SD</i> = 9.14) who participated in the 2011, 2014, and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Longitudinal mediation and moderation analyses were conducted to examine the relationships among negative SPA, cognitive function, SES, and depression.</p><p><strong>Results: </strong>Negative SPA was significantly associated with higher levels of depression over time. Cognitive function partially mediated the association between negative SPA and depression, suggesting that cognitive decline explains part of the effect of negative aging perceptions on depressive symptoms. SES was not found to significantly moderate this relationship.</p><p><strong>Conclusion: </strong>Cognitive decline represents an important pathway through which negative self-perceptions of aging contribute to depression in later life. Interventions aimed at improving cognitive function and promoting more positive perceptions of aging may help reduce depressive symptoms among older adults.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"621845"},"PeriodicalIF":4.5,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13537375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148881392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychological Resource Profiles and Learning Engagement Among Rural Left-Behind Adolescents in China: A Latent Profile Analysis.","authors":"Xinying Chen, Jialian Li, Yiwei Li, Siyu Tao, Qian Mei","doi":"10.2147/PRBM.S602651","DOIUrl":"10.2147/PRBM.S602651","url":null,"abstract":"<p><strong>Purpose: </strong>With increasing labor mobility between urban and rural regions, rural left-behind adolescents in China have become a group requiring attention in both educational and psychological domains. This study aimed to identify distinct psychological resource profiles among rural left-behind adolescents and examine their differences in learning engagement.</p><p><strong>Patients and methods: </strong>This study employed latent profile analysis (LPA) to identify distinct psychological resource profiles based on four key dimensions: mindfulness, grit, growth mindset, and perceived social support.</p><p><strong>Results: </strong>Four latent profiles were identified among the participants: \"High Mindfulness-High Support\", \"Isolated High Mindfulness\", \"Moderate Resource Integration\", and \"Low Mindfulness-High Motivation\". Significant differences in learning engagement were observed across these profiles. Specifically, adolescents in the \"High Mindfulness-High Support\" and \"Low Mindfulness-High Motivation\" groups showed higher levels of learning engagement, whereas those in the \"Isolated High Mindfulness\" group showed the lowest level of engagement. Age was significantly associated with profile membership, whereas gender showed no significant association.</p><p><strong>Conclusion: </strong>These findings highlight the heterogeneity of psychological resource configurations among rural left-behind adolescents and suggest that different profiles are associated with distinct levels of learning engagement. The results may provide a descriptive basis for future longitudinal and intervention studies on learning engagement in this population.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"602651"},"PeriodicalIF":4.5,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13532883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148874789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Forest Therapy on Depressive Symptoms: A Systematic Review and Meta-Analysis.","authors":"Ke Lu, Amei Tang, Yang Liu, Feng Cao","doi":"10.2147/PRBM.S627521","DOIUrl":"10.2147/PRBM.S627521","url":null,"abstract":"<p><strong>Objective: </strong>To systematically evaluate the efficacy of various forest therapy interventions for alleviating depressive symptoms using network meta-analysis, identify the optimal intervention pattern, and provide evidence-based guidance for clinical application.</p><p><strong>Eligibility criteria: </strong>Randomized controlled trials (RCTs) evaluating forest therapy for depressive symptoms were included. Studies were limited to English publications with extractable outcome data; non-forest interventions, simulated nature exposure, and studies with severe comorbidities or incomplete data were excluded.</p><p><strong>Information sources: </strong>PubMed, Medline, Embase, Cochrane Library, and CINAHL were searched from inception to May 2026.</p><p><strong>Study appraisal and synthesis methods: </strong>Study quality was assessed using the Cochrane ROB 2.0 tool. Network meta-analysis was performed with a random-effects model; heterogeneity was quantified using <i>I</i> ². Subgroup analyses were conducted by population, intervention mode, and assessment scale. Publication bias was evaluated using funnel plots and the trim-and-fill method.</p><p><strong>Results: </strong>Eighteen RCTs with 2169 participants were included. Random-effects meta-analysis showed forest therapy significantly reduced depressive symptoms: SMD = -1.009, 95% CI (-1.411, -0.608), <i>P</i> < 0.0001. Severe inter-study heterogeneity existed (<i>I</i> ²= 90.1%, 95% CI [-2.765, 0.746], <i>P</i> < 0.0001). Leave-one-out sensitivity analysis confirmed stable pooled SMD ranging from -1.083 to -0.880 after removing any single trial. Trim-and-fill test detected publication bias; after imputing seven missing studies, the therapeutic effect remained significant yet slightly weakened. Subgroup analyses found significant antidepressant effects in healthy people (SMD = -0.642, 95% CI [-0.981, -0.303], <i>P</i> = 0.0002), chronic somatic disease patients (SMD = -1.431, 95% CI [-2.461, -0.400], <i>P</i> = 0.0065) and depressed patients (SMD = -1.187, 95% CI [-1.662, -0.712], <i>P</i> = 0.05), with no intergroup efficacy difference across populations (<i>P</i> = 0.1961). Both guided (SMD = -0.881, 95% CI [-1.344, -0.418], <i>P</i> = 0.0002) and unguided forest therapy (SMD = -1.134, 95% CI [-1.786, -0.482], <i>P</i> = 0.0007) worked comparably.</p><p><strong>Conclusion: </strong>Forest therapy is an effective non-pharmacological intervention for depressive symptoms. While forest therapy seems to offer benefits, the certainty of the evidence is constrained by significant heterogeneity, potential publication bias, a scarcity of direct comparisons among intervention models, and a lack of long-term follow-up studies. Future research should standardize protocols, conduct large-scale RCTs, incorporate long-term follow-up, and develop regionally adapted interventions.</p><p><strong>Registration: </strong>PROSPERO CRD420261402570.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"627521"},"PeriodicalIF":4.5,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13525802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148857671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lifestyle Mediates the Associations of Social Media and Smartphone Use Addiction with Sleep Quality and Mental Health Problems in Adults: An Exploratory Study.","authors":"Cheng-Yu Lin, Han Thi Vo, Chuan-Rong Yeh, Chih-Feng Lai, Shwu-Huey Yang, Jane C J Chao, Pei-Shan Tsai, Tuyen Van Duong","doi":"10.2147/PRBM.S625275","DOIUrl":"10.2147/PRBM.S625275","url":null,"abstract":"<p><strong>Background: </strong>Excessive time spent on social media and smartphones, as well as inappropriate use, has raised concerns about their potential impact on mental health. Many studies have shown that social media addiction and smartphone addiction are associated with poor sleep quality and increased risk of depression and anxiety. This study examined the mediating role of lifestyle on the relationship between social media and smartphone use addictions with poor sleep quality, anxiety, and depression.</p><p><strong>Methods: </strong>A cross-sectional study was conducted among 1324 undergraduate and graduate students aged 20-40 years. Participants completed validated self-report measures assessing social media addiction, smartphone addiction, sleep quality, anxiety symptoms, depressive symptoms, and lifestyle behaviors, including smoking, alcohol consumption, eating behaviors, and physical activity.</p><p><strong>Results: </strong>The mean scores for sleep quality, anxiety, and depressive symptoms were 6.9 ± 3.4, 6.7 ± 5.4, and 8.6 ± 5.8, respectively. In this cross-sectional study, mediation analysis indicated statistically significant indirect associations through lifestyle between social media addiction and poor sleep quality (the indirect effects: unstandardized coefficient [B] = 0.006, 95% confidence interval [CI] [0.002-0.014]), anxiety symptoms (B = 0.007, 95% CI [0.001-0.016]), and depressive symptoms (B = 0.013, 95% CI [0.006-0.025]). Similarly, lifestyle was observed to mediate the association between smartphone use addiction and poor sleep quality (the indirect effects: B = 0.005, 95% CI [0.002-0.010]), anxiety symptoms (B = 0.006, 95% CI [0.001-0.015]), and depressive symptoms (B = 0.012, 95% CI [0.005-0.020]). Although the indirect effects were statistically significant, their magnitude was small, indicating that lifestyle accounted for a limited proportion of the associations between technology-related addictions and sleep quality and mental health problems.</p><p><strong>Conclusion: </strong>Lifestyle behaviors statistically mediated the associations of social media or smartphone use addiction with poor sleep quality, anxiety, and depression. Although causal inferences cannot be made, these findings suggest that lifestyle practices may be important in understanding and addressing the mental health challenges associated with excessive technology use.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"625275"},"PeriodicalIF":4.5,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13525800/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148857674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engagement with WeChat-Based Remote Psychological Counseling and Patient-Reported Outcomes After Uterine Artery Embolization in China: A Retrospective Cohort Study.","authors":"Yanfang Wu, Chaoyun Jiang, Deqin Chen, Cijuan Li, Tianhong Cai, Rong Zhang, Ting Deng, Tenghui Zhan","doi":"10.2147/PRBM.S626009","DOIUrl":"10.2147/PRBM.S626009","url":null,"abstract":"<p><strong>Background: </strong>Psychological symptoms and impaired quality of life may persist after uterine artery embolization (UAE), while sustained in-person support can be difficult to access. We examined whether self-selected engagement with a WeChat-based counseling program was associated with patient-reported outcomes after UAE.</p><p><strong>Methods: </strong>This single-center retrospective cohort included 267 women who underwent UAE for uterine fibroids in China and selected WeChat follow-up. Engagement was classified by the 12-month mean completion percentage across individual counseling, educational messages, and professionally moderated support groups: low (<50%), medium (50-79%), or high (≥80%). The primary outcome was WHOQOL-BREF quality of life at 12 months; PHQ-9 depression, GAD-7 anxiety, and PSQI sleep scores were secondary outcomes. Mixed-effects models evaluated longitudinal associations.</p><p><strong>Results: </strong>At 12 months, mean WHOQOL-BREF scores were 74.2, 78.4, and 74.9 in the low-, medium-, and high-engagement groups. The adjusted medium-versus-low difference in change from baseline was 3.98 points (95% CI 3.39-4.57), within the 3-5-point clinical-importance range. PHQ-9 differences in change were statistically significant but smaller than the 5-point minimum clinically important difference. PSQI change did not differ significantly between groups.</p><p><strong>Conclusion: </strong>Within a self-selected WeChat cohort, engagement level was associated with change in quality of life, depressive symptoms, and anxiety symptoms, but not sleep quality. Selection bias, reverse causation, residual confounding, and the absence of a non-WeChat comparator preclude causal or dosing conclusions. Prospective trials should test individualized intervention intensity and clinical benefit.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"626009"},"PeriodicalIF":4.5,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13524111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Dark Side of Generative AI: Sequential Psychological Mechanisms and Heterogeneous Responses Underlying Teachers' Innovative Behavior.","authors":"Guangyan Gai, Zhanjing Zhao, Nor Shafrin Ahmad","doi":"10.2147/PRBM.S638092","DOIUrl":"10.2147/PRBM.S638092","url":null,"abstract":"<p><strong>Purpose: </strong>Although generative artificial intelligence (GAI) has become increasingly integrated into higher education, its potential psychological costs for teachers remain insufficiently understood. Drawing on the Transactional Model of Stress and Coping (TMSC), this study examined how GAI use influences teachers' innovative behavior through sequential cognitive and emotional mechanisms while exploring heterogeneity in teachers' psychological responses.</p><p><strong>Methods: </strong>A three-wave time-lagged survey was conducted among 898 university teachers from public higher education institutions in Northeast China. Structural equation modeling (SEM) was used to examine the proposed sequential mediation model, and latent profile analysis (LPA) was performed to identify distinct psychological response patterns.</p><p><strong>Results: </strong>Within the present study, greater generative AI use was associated with lower levels of teachers' innovative behavior. Job insecurity and AI anxiety independently mediated this relationship and jointly formed a significant sequential mediation pathway. In addition, five distinct psychological profiles were identified. Teachers characterized by lower job insecurity and AI anxiety exhibited significantly higher levels of innovative behavior than those experiencing greater psychological risks.</p><p><strong>Conclusion: </strong>By integrating variable-centered and person-centered approaches within the TMSC framework, this study advances understanding of the psychological mechanisms and heterogeneous responses underlying teachers' adaptation to generative AI. The findings contribute to the emerging literature on the psychological consequences of AI adoption and provide practical implications for promoting sustainable teacher innovation and effective psychological management during AI-enabled educational transformation.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"638092"},"PeriodicalIF":4.5,"publicationDate":"2026-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13526154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148866211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Family-Based Prevention Model for Adolescent Mental Health Problems: A Socio-Ecological Approach in the Indonesian Context.","authors":"Hesty Widyasih, Nita Arisanti, Veranita Pandia, Meita Dhamayanti","doi":"10.2147/PRBM.S625655","DOIUrl":"10.2147/PRBM.S625655","url":null,"abstract":"<p><strong>Background: </strong>Adolescent mental health is a growing global concern, particularly in low- and middle-income countries where preventive frameworks remain underdeveloped. In Indonesia, existing adolescent mental health initiatives remain largely school- and health-service oriented, with limited operational integration of families as preventive actors. This study aimed to develop a Family-Based Prevention Model for Adolescent Mental Health Problems using a socio-ecological approach tailored to the Indonesian context.</p><p><strong>Methods: </strong>Employing an exploratory sequential mixed-methods design, qualitative data from adolescents, parents, educators, health providers, and policy stakeholders were analyzed to construct a conceptual model, followed by quantitative validation through a three-round Delphi process with 14 experts.</p><p><strong>Results: </strong>The qualitative phase identified five key dimensions of the socio-ecological model: individual, family, organizational, community, and policy, with the family dimension emerging as the most influential factor in adolescent mental health prevention. Within the socio-ecological framework, the family dimension emerges as a central determinant in adolescent mental health, given its position as the closest and most immediate environment to adolescents. The themes identified within the family dimension included family attachment, family supervision, family communication, parenting practices, family relationships, and family support. Quantitative findings achieved full expert consensus across six elements, confirming the model's coherence and applicability.</p><p><strong>Conclusion: </strong>The model positions family engagement as the core preventive mechanism, rather than a family-only approach, reinforced by cross-sectoral collaboration and enabling policy environments. This study contributes to the body of knowledge by integrating family processes within the socio-ecological model and offering a culturally grounded framework for adolescent mental health promotion. Further empirical testing is required to evaluate the model's effectiveness across diverse Indonesian regions and adolescent age groups. The model has the potential to inform national strategies and guide future empirical evaluations aimed at strengthening family-based prevention and intersectoral collaboration in Indonesia.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"625655"},"PeriodicalIF":4.5,"publicationDate":"2026-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13499564/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148797617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between New Tea Drink Consumption and Mental Health Disorders Among Chinese College Students: An Interpretable Machine Learning Approach.","authors":"Weijia Feng, Jie Feng, Wei Wang, Yaoyue Hu, Zhuoman Li, Hong Xu","doi":"10.2147/PRBM.S619357","DOIUrl":"https://doi.org/10.2147/PRBM.S619357","url":null,"abstract":"<p><strong>Background: </strong>With rapid lifestyle changes, mental health disorders and chronic diseases are increasingly prevalent among college students, driven by multiple risk factors. Given the limitations of traditional linear models in managing high-dimensional data, this study employed machine learning to predict these risks.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted among 1217 college students across 14 provinces in China. Information on new tea drink consumption, psychological traits, and demographic characteristics was collected. Five machine learning algorithms, Random Forest, XGBoost, Logistic Regression, Support Vector Machine, and Artificial Neural Network were evaluated.</p><p><strong>Results: </strong>The XGBoost model achieved robust performance for mental health disorders (AUC = 0.89, Accuracy = 0.86), but showed limited sensitivity for chronic diseases due to class imbalance. SHapley Additive exPlanations analysis indicated that insomnia symptoms were the primary predictor for mental health disorders. Mediation analysis suggested that the total effect between new tea drink frequency and mental health disorders was 0.254, and insomnia symptoms partially mediated this association (effect = 0.062; share = 24.4%).</p><p><strong>Conclusion: </strong>These findings suggest that integrating machine learning into early screening systems may help inform preliminary screening and risk-stratification efforts for college student mental health. By identifying associated behavioral patterns, these models offer a basis for hypothesis generation, though longitudinal research is necessary to establish causal relationships and validate their utility.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"619357"},"PeriodicalIF":4.5,"publicationDate":"2026-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13489046/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148797544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint Latent Profile Analysis of BIS/BAS and Self-Control Systems in Gender Differences of Internet Gaming Disorder Among Chinese University Students: The Mediating Role of Anxiety and Depression in a Cross-Sectional Study.","authors":"Ziyun Zhang, Peipei Song, Jiajia Wu, Yuxin Gao, Lijin Wang, Haonan Li, Yue Wang, Wanyi Quan, Jing Zhang, Yuantao Fang, Zhonghan Xu, Na Zhong, Yonghui Li, Dongliang Jiao","doi":"10.2147/PRBM.S626294","DOIUrl":"https://doi.org/10.2147/PRBM.S626294","url":null,"abstract":"<p><strong>Background: </strong>Internet Gaming Disorder (IGD) is an emerging mental health concern with significant gender differences. However, the mechanisms underlying why females report higher anxiety and depression but lower IGD than males remain unclear.</p><p><strong>Methods: </strong>A total of 13,215 university students completed measures of the Behavioral Inhibition/Activation System (BIS/BAS), the Dual-Mode of Self-Control Scale (DMSC-s), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), and the Nine-Item Internet Gaming Disorder Scale-Short Form (IGDS9-SF). Given established gender differences in emotion regulation and addiction pathways, gender-stratified latent profile analysis (LPA) was conducted to capture sex-specific behavioral system configurations. The optimal profile solution was determined based on fit indices (AIC, BIC, aBIC), high entropy (>0.88), significant LMR-LRT and BLRT tests (p < 0.001), and theoretical interpretability. Parallel mediation analyses then examined the mediating roles of anxiety and depression between behavioral system profiles and IGD, with completely standardized indirect effects reported as effect size estimates.</p><p><strong>Results: </strong>Five stable behavioral system profiles were identified across genders: Low-drive, Impulsivity-dominant, Cold-cognitive, Pan-hyperactive, and Balanced. The Impulsivity-dominant and Pan-hyperactive profiles were associated with higher IGD levels, whereas the Cold-cognitive profile was associated with lower IGD levels. In males, both anxiety and depression showed significant indirect effects in the Impulsivity-dominant and Pan-hyperactive profiles (partially standardized indirect effects: 0.018-0.273). In females, depression showed no significant indirect effects; anxiety showed significant indirect effects in the Pan-hyperactive (0.269) and Impulsivity-dominant (0.145) profiles. These findings suggest that the mediating role of emotional distress in IGD differs by gender, with a notably weaker role for depression in females.</p><p><strong>Conclusion: </strong>Females' higher emotional distress but lower IGD may reflect reduced associations between emotional distress and IGD among females. These findings challenge linear assumptions of emotion-addiction relationships and support gender-specific intervention strategies. Given the cross-sectional design, all mediation effects should be interpreted as statistical associations rather than causal pathways.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"626294"},"PeriodicalIF":4.5,"publicationDate":"2026-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13480364/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148797601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social Media Addiction and Depressive Symptoms in Adolescents: The Mediating Roles of Anxiety and Emotional Eating.","authors":"Jacksaint Saintila, Youmi Paz-Olivas, Radka Čopková, Yaquelin E Calizaya-Milla","doi":"10.2147/PRBM.S620563","DOIUrl":"10.2147/PRBM.S620563","url":null,"abstract":"<p><strong>Background: </strong>Addictive social media use (ASMU) has increased among adolescents; however, evidence regarding the role of anxiety and emotional eating (EmE) in its association with depressive symptoms remains limited, particularly in Latin American contexts.</p><p><strong>Objective: </strong>To analyze the direct and indirect associations between ASMU and depressive symptoms, assessing the mediating role of anxiety and EmE.</p><p><strong>Methods: </strong>An analytical cross-sectional study was conducted in 880 adolescents aged 11 to 18 years from public and private educational institutions in East Lima, Peru. ASMU, anxiety (GAD-2), EmE, and depressive symptoms (PHQ-2) were assessed. In addition to descriptive statistics and bivariate correlations, an observed-variable path analysis using composite scores with bias-corrected bootstrapping (5000 resamples) was estimated to quantify direct, indirect, and total associations.</p><p><strong>Results: </strong>The path model showed good fit to the data (CFI = 0.978; TLI = 0.968; RMSEA = 0.054, 90% CI = 0.043-0.065; SRMR = 0.046) and explained 45.7% of the variance in depressive symptoms. ASMU was positively associated with anxiety (β = 0.374, p < 0.001), EmE (β = 0.340, p < 0.001), and directly with depressive symptoms (β = 0.120, p = 0.003). Significant indirect associations were also observed through anxiety (β = 0.199, p < 0.001), EmE (β = 0.079, p < 0.001), and the sequential indirect pathway involving anxiety and EmE (β = 0.033, p < 0.001). The total association between ASMU and depressive symptoms was significant (β = 0.431, p < 0.001).</p><p><strong>Conclusion: </strong>The findings are consistent with a pattern of partial mediation, in which ASMU is associated with higher depressive symptoms both directly and through indirect pathways linked to anxiety and EmE.</p>","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"19 ","pages":"620563"},"PeriodicalIF":4.5,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13456031/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148707568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}