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  • Open Access

    ARTICLE

    Mechanisms and Heterogeneous Effects of Physical Activity on Mental Health: Evidence from the China Family Panel Studies

    Chun-Chieh Hu1,*, Shuhan Zheng1,2, Youjia Lin1,2

    International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2025.073744 - 27 February 2026

    Abstract Objectives: In recent years, mental health has emerged as a pressing public health concern in China, driven by mounting societal pressures and fast-paced urban lifestyles. Physical activity, a well-established means of enhancing psychological well-being, has received growing scholarly and policy attention. This study uses panel data from the 2020 and 2022 waves of the China Family Panel Studies (CFPS) to examine the impact of exercise frequency on mental health (with indicators such as CESD-8 depression scores) among college students and young employees, thereby providing empirical support for targeted mental health interventions. Methods: This study examines the… More >

  • Open Access

    ARTICLE

    Eating Behavior and Depression in Chinese Female College Students: The Role of Social Appearance Anxiety and Physical Activity

    Wen Zhang, Wenying Huang*, Chang Hu*

    International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2026.073038 - 27 February 2026

    Abstract Background: Depression is prevalent among female college students, with eating behavior potentially related to this issue. This study examines the relationship between eating behavior and depression, focusing on the role of social appearance anxiety and physical activity. Methods: We recruited 2161 female college students from nine universities in China via convenience sampling. Data was collected via an online questionnaire. Eating behavior was assessed via the Eating Behavior Scale short form (EBS-SF), depression was measured via the Center for Epidemiological Studies Depression Scale (CES-D), social appearance anxiety was evaluated via the Social Appearance Anxiety Scale, and physical… More >

  • Open Access

    ARTICLE

    Compliance with Three Movement Behaviors and Psychological Health among Adults with Diabetes

    Wenjiao Li1, Shiliang Chen1, Shihui Chen2, Xinxing Li3, Yanjie Zhang4,5,*

    International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2026.072912 - 27 February 2026

    Abstract Objectives: 24-h movement behaviors (24-HMB), encompassing physical activity, sedentary behavior, and sleep duration, are increasingly regarded as interrelated and important factors for mental health. However, evidence on the comprehensive association of these behaviors with mental health in adults with diabetes in developing countries remains scarce. This study examined the association between 24-HMB guidelines and psychological health among adults with diabetes in developing countries. Methods: Data were retrieved from the World Health Organization’s study on Global Aging and Adult Health Survey dataset. Adults (N = 1905) diagnosed with diabetes from five low-and middle-income countries were included. The… More >

  • Open Access

    ARTICLE

    Maternal Mental Health Literacy and Preschoolers’ Emotional Regulation Ability: A Chain Mediation of Depression and Democratic Parenting

    Jiaojiao He1, Qing-en Yu2, Yuwei Li3,*, Jian Li1

    International Journal of Mental Health Promotion, Vol.28, No.2, 2026, DOI:10.32604/ijmhp.2025.072905 - 27 February 2026

    Abstract Background: Maternal mental health literacy is a cognitive resource that may support preschoolers’ emotional development, yet its influence on emotional regulation and the related mechanisms remains unclear. This study examined whether maternal depressive mood and democratic parenting form a chain pathway linking maternal mental health literacy to preschoolers’ emotional regulation ability. Methods: Mothers of 544 preschoolers in mainland China completed an online questionnaire that assessed maternal mental health literacy, depressive mood, democratic parenting, and child emotional regulation. Structural path analysis was conducted with child age and gender controlled. Indirect effects were tested using 5000 bootstrap samples. Results: More >

  • Open Access

    REVIEW

    Mental Health and Well-Being of Doctoral Students: A Systematic Review

    Yuxin Guo1,2, Xinqiao Liu3,*

    International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.074063 - 28 January 2026

    Abstract Background: Mental health concerns among doctoral students have become increasingly prominent, with consistently low levels of well-being making this issue a critical focus in higher education research. This study aims to synthesize existing evidence on the mental health and well-being of doctoral students and to identify key factors and intervention strategies reported in the literature. Methods: A systematic review was conducted to examine the determinants and interventions related to doctoral students’ mental health and well-being. Relevant studies were comprehensively searched in Web of Science, PubMed, Scopus, and EBSCO, with the final search conducted on September 19,… More >

  • Open Access

    ARTICLE

    Social Value and Public Health: Exploring the Impact of Social Connection on the Community Mental Health

    Jimin Chae1, Youngbin Lym2,*, Geiguen Shin2,3,*

    International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.071482 - 28 January 2026

    Abstract Background: Social connection is widely recognized as a protective determinant of health, yet its direct and indirect effects on mental health remain underexplored. This study examines the relationship between social connection and mental health, focusing on the mediating role of quality of life (QoL) and the moderating effect of regional differences. Methods: We analyzed data from the 2019 Korean Community Health Survey, comprising 229,099 adults. Mental health was assessed through validated measures of depressive symptoms and psychological well-being. Social connection was measured using indicators of interpersonal ties and community participation, and QoL was assessed via self-reported… More >

  • Open Access

    ARTICLE

    Neuro-Symbolic Graph Learning for Causal Inference and Continual Learning in Mental-Health Risk Assessment

    Monalisa Jena1, Noman Khan2,*, Mi Young Lee3,*, Seungmin Rho3

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.075119 - 29 January 2026

    Abstract Mental-health risk detection seeks early signs of distress from social media posts and clinical transcripts to enable timely intervention before crises. When such risks go undetected, consequences can escalate to self-harm, long-term disability, reduced productivity, and significant societal and economic burden. Despite recent advances, detecting risk from online text remains challenging due to heterogeneous language, evolving semantics, and the sequential emergence of new datasets. Effective solutions must encode clinically meaningful cues, reason about causal relations, and adapt to new domains without forgetting prior knowledge. To address these challenges, this paper presents a Continual Neuro-Symbolic Graph… More >

  • Open Access

    REVIEW

    Machine Intelligence for Mental Health Diagnosis: A Systematic Review of Methods, Algorithms, and Key Challenges

    Ravita Chahar, Ashutosh Kumar Dubey*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-65, 2026, DOI:10.32604/cmc.2025.066990 - 10 November 2025

    Abstract Objective: The increasing global prevalence of mental health disorders highlights the urgent need for the development of innovative diagnostic methods. Conditions such as anxiety, depression, stress, bipolar disorder (BD), and autism spectrum disorder (ASD) frequently arise from the complex interplay of demographic, biological, and socioeconomic factors, resulting in aggravated symptoms. This review investigates machine intelligence approaches for the early detection and prediction of mental health conditions. Methods: The preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework was employed to conduct a systematic review and analysis covering the period 2018 to 2025. The potential… More >

  • Open Access

    ARTICLE

    Associations between Work Schedule Type and Physical Activity with Mental Health and Job Stress among Seoul Metro Employees

    Youngho Kim1, Jonghwa Lee2,*

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1949-1960, 2025, DOI:10.32604/ijmhp.2025.072560 - 31 December 2025

    Abstract Background: Shift-based occupations have been consistently linked to adverse psychological outcomes; however, limited research has examined how work schedule type and physical activity are jointly associated with mental health and job stress in public transportation employees, a population frequently exposed to irregular hours and safety-critical responsibilities. This study investigated the associations between work schedule type and physical activity with mental health indicators and job stress among Seoul Metro employees. Methods: A cross-sectional survey was administered to 298 full-time male employees of Seoul Metro. Participants were categorized by work schedule (shift vs. regular) and physical activity level… More >

  • Open Access

    REVIEW

    Understanding Adolescent Social Media Use: A Narrative Review of Motivations, Risk Factors, and Mental Health Implications

    Kyung-Hyun Suh1,*, Sung-Jin Chung1, Goo-Churl Jeong1, Kunho Lee1, Ji-Hyun Ryu2

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1829-1845, 2025, DOI:10.32604/ijmhp.2025.071879 - 31 December 2025

    Abstract Background: Adolescents increasingly engage with social media for connection, self-expression, and identity exploration. This growing digital engagement has raised concerns about its potential risks and mental health implications. Methods: This narrative review examines literature on adolescent social media use by exploring underlying motivations, risk and protective factors across personal, environmental, and digital domains, with a focus on mental health outcomes. Results: Individual vulnerabilities—such as low self-esteem, impulsivity, and poor sleep—interact with contextual factors like peer pressure and family conflict to elevate risks. Digital environments shaped by algorithmic feeds, feedback mechanisms, and curated content promote social comparison and More >

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