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  • 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 >

  • Open Access

    ARTICLE

    Pills as Aids? Substance Use, School Satisfaction, Sleep Quality, Body Image, and Mental Well-Being Among Korean Adolescents

    Wufan Jia1, Seung Hee Yoo2, Hye Eun Lee3,*

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1897-1906, 2025, DOI:10.32604/ijmhp.2025.071572 - 31 December 2025

    Abstract Background: With growing concerns about the abuse of prescription and over-the-counter (OTC) medications, such as medications for attention-deficit/hyperactivity disorder (ADHD), diet pills, and sleep aids, among adolescents in South Korea, this study aimed to investigated how these substances affect key aspects of adolescent well-being, specifically school satisfaction, body image, and sleep quality, and their association with mental health outcomes. Methods: A two-wave longitudinal survey was conducted with Korean female high school students (Wave 1: n = 494; Wave 2: n = 189). Linear regression analyses were used to evaluate the effects of ADHD medications, diet pills, and… More >

  • Open Access

    ARTICLE

    ChatGPT, Loneliness, and Well-Being among International PhD Students in Malaysia: A Mixed-Methods Study

    Tianyu Zhao1, Xiaoli Zhao2, Kenny S. L. Cheah3,*, Ye Zhang3

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 2023-2038, 2025, DOI:10.32604/ijmhp.2025.071322 - 31 December 2025

    Abstract Background: Despite access to university counseling services, many students underutilize them due to cultural stigma, language barriers, and perceived irrelevance. As a result, ChatGPT has emerged as an informal, always-available support system. This study investigates how international PhD students in Malaysia navigate loneliness, mental well-being, and social disconnection through interactions with Generative AI (mainly ChatGPT. Methods: Using a mixed-methods design, the study surveyed 155 international doctoral students and analyzed quantitative responses across four dimensions: loneliness, well-being (WHO-5), perceived social support, and AI-facilitated emotional support. Additionally, open-ended responses were examined using Latent Dirichlet Allocation (LDA) to identify… More >

  • Open Access

    ARTICLE

    Understanding Young Adults’ Social Media Anxiety: Mediating Role of Upward Social Comparison and the Moderating Role of Psychological Resilience

    Jinqian Li1, Jianhong Wu2,*

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1883-1896, 2025, DOI:10.32604/ijmhp.2025.071306 - 31 December 2025

    Abstract Background: Platform algorithms driving content presentation are profoundly shaping the experience of younger users. While prior research has examined anxiety stemming from young adults’ social media usage, the link between upward social comparison and anxiety remains unclear. This study aims to investigate the mediating role of upward social comparison in this relationship and determine the moderating role of psychological resilience. Methods: A cross-sectional survey was conducted among 562 young Chinese adults aged 18–35 (53% female). Data were collected via an online questionnaire employing validated measurement instruments, including scales for social media usage patterns, upward comparator behaviour… More >

  • Open Access

    ARTICLE

    Digital mental health: Integrating psychotherapeutic innovations and technology—A Nigerian perspective

    A. O. Onwudiwe, C. I. Onyemaechi*, S. C. Achebe, P. O. Philip, O. A. Ugwu

    Journal of Psychology in Africa, Vol.35, No.6, pp. 843-851, 2025, DOI:10.32604/jpa.2025.069734 - 30 December 2025

    Abstract Despite high burden of mental disorders in Nigeria, access to care remains critically limited, with stigma, inadequate infrastructure, and economic constraints posing significant barriers. Integration of mental health and technology offers unprecedented opportunities to bridge this treatment gap. This paper explores the potential of digital mental health interventions like mobile applications and teletherapy, as viable solutions through which mental health services could be expanded. Leveraging Nigeria’s growing digital ecosystem and mobile phone penetration, these innovations can provide scalable, cost-effective, and culturally relevant interventions, particularly in underserved areas. However, challenges such as digital literacy gaps, socio-cultural More >

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