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  • Open Access

    ARTICLE

    Associations between Physical Activity, Depression, Self-Esteem, and Suicide Ideation in Adolescents

    Dojin An1, Nguyen Hoang Minh Thuan2, Youngho Kim1,*

    International Journal of Mental Health Promotion, Vol.26, No.10, pp. 847-853, 2024, DOI:10.32604/ijmhp.2024.055568 - 31 October 2024

    Abstract Background: In contemporary society, it has been widely witnessed that a surprising number of adolescents suffer emotional and mental health problems, and such turmoil is very often carried over into adulthood with serious implications for adjustment during the post-adolescent years. The purpose of the current study is to investigate the associations of physical activity with self-esteem, depression, and suicidal ideation. In addition, this study examined whether self-esteem and depression mediate the relationship between physical activity and suicide ideation in adolescents. Methods: The study participants were 946 (male: 527, female: 419) who attended junior high and… More >

  • Open Access

    ARTICLE

    Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships

    Xiuyang Meng1,2, Chunling Wang1,2,*, Jingran Yang1,2, Mairui Li1,2, Yue Zhang1,2, Luo Wang1,2

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4259-4281, 2024, DOI:10.32604/cmc.2024.050325 - 20 June 2024

    Abstract Suicide has become a critical concern, necessitating the development of effective preventative strategies. Social media platforms offer a valuable resource for identifying signs of suicidal ideation. Despite progress in detecting suicidal ideation on social media, accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant challenge. To tackle this, we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships (TCNN-SN). This model enhances predictive performance by leveraging social network relationship features More >

  • Open Access

    ARTICLE

    Socio-Psychological Factors of Rising Trend of Suicidal Ideation among Indigenous Workforce: Evidence from Himalayan Range

    Zia Ullah1, Esra AlDhaen2, Fatema Saleh AlDhaen2, Bee-Lia Chua3, Heesup Han4,*

    International Journal of Mental Health Promotion, Vol.25, No.12, pp. 1245-1256, 2023, DOI:10.32604/ijmhp.2023.030577 - 29 December 2023

    Abstract Apart from socio-economic disparities, indigenous people of the Himalayan range in Asia face an increasing trend of suicides. The tragic suicidal events usually go unaddressed, and no strategies are presently in place to mitigate suicides in the future. This study aims to explain the prevailing causes of suicidal ideation to come up with some policy recommendations. Through a preliminary survey, we identified social stigma, social isolation, lack of healthcare facilities, and domestic violence as the potential reasons for suicidal ideation. We identified individuals with suicide ideation for further data collection to test the relationships between… More >

  • Open Access

    REVIEW

    Suicide in Digestive System Cancers: A Scoping Review

    Jie Chen1,2, Xiaoping Ding1,2, Xin Peng3, Deying Hu1,3,*

    International Journal of Mental Health Promotion, Vol.25, No.1, pp. 1-20, 2023, DOI:10.32604/ijmhp.2022.022578 - 29 November 2022

    Abstract Digestive system cancers are important causes of morbidity and mortality worldwide. Cancer patients are more likely to commit suicide. The objective of this scoping review is to provide a comprehensive and updated summary of the existing literature on suicide among patients with digestive system cancers to identify the incidence and risk factors relevant to suicide in these populations. The PRISMA-Scr (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension protocol for scoping reviews) protocol was used. The review was based on relevant articles published prior to January 2022 in databases of Web of Science and… More >

  • Open Access

    ARTICLE

    Suicide Ideation Detection of Covid Patients Using Machine Learning Algorithm

    R. Punithavathi1,*, S. Thenmozhi2, R. Jothilakshmi3, V. Ellappan4, Islam Md Tahzib Ul5

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 247-261, 2023, DOI:10.32604/csse.2023.025972 - 16 August 2022

    Abstract During Covid pandemic, many individuals are suffering from suicidal ideation in the world. Social distancing and quarantining, affects the patient emotionally. Affective computing is the study of recognizing human feelings and emotions. This technology can be used effectively during pandemic for facial expression recognition which automatically extracts the features from the human face. Monitoring system plays a very important role to detect the patient condition and to recognize the patterns of expression from the safest distance. In this paper, a new method is proposed for emotion recognition and suicide ideation detection in COVID patients. This More >

  • Open Access

    EDITORIAL

    L’euthanasie et le suicide assisté seront-ils bientôt en France des alternatives supplémentaires dans l’offre de soins à la fin de la vie ?

    M.-F. Bacqué, I. Dumont, J. Maclure, P. Guex, L. Fasse, M. Derzelle

    Psycho-Oncologie, Vol.16, No.2, pp. 219-222, 2022, DOI:10.3166/pson-2022-0200

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Closing the Gap: Characterizing Key Factors Leading to the Disparity in Suicide Rates along the Urban-Rural Continuum

    Harrison Schurr, Andrei Tuluca*, Beth Bailey

    International Journal of Mental Health Promotion, Vol.24, No.2, pp. 159-167, 2022, DOI:10.32604/ijmhp.2022.017990 - 18 January 2022

    Abstract Suicide is a top ten cause of mortality in the United States. In previous literature the suicide rates in rural communities have been reported to be greater than those of more urban communities. Additionally, these studies have discussed many potential causes for the unfortunate disparity in rates. One cause often discussed is lack of mental health care providers in rural communities. The data for this study was gathered from the CDC’s WONDER database and the NPPES NPI Registry. The urban-rural categorization of counties used the 2013 NCHS Urban-Rural Scheme. Statistical analysis included chi-square tests, paired t-tests, More >

  • Open Access

    ARTICLE

    Prediction of Extremist Behaviour and Suicide Bombing from Terrorism Contents Using Supervised Learning

    Nasir Mahmood*, Muhammad Usman Ghani Khan

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4411-4428, 2022, DOI:10.32604/cmc.2022.013956 - 11 October 2021

    Abstract This study proposes an architecture for the prediction of extremist human behaviour from projected suicide bombings. By linking ‘dots’ of police data comprising scattered information of people, groups, logistics, locations, communication, and spatiotemporal characters on different social media groups, the proposed architecture will spawn beneficial information. This useful information will, in turn, help the police both in predicting potential terrorist events and in investigating previous events. Furthermore, this architecture will aid in the identification of criminals and their associates and handlers. Terrorism is psychological warfare, which, in the broadest sense, can be defined as the… More >

  • Open Access

    ARTICLE

    Incorporating Stress Status in Suicide Detection through Microblog

    Yuanyuan Xue1,2, Qi Li1, TongWu1, LingFeng1, Liang Zhao3, FengYu3

    Computer Systems Science and Engineering, Vol.34, No.2, pp. 65-78, 2019, DOI:10.32604/csse.2019.34.065

    Abstract Suicide has been a perplexing social problem around the world for a long time. Timely sensing hidden suicide risk and offering effective intervention are highly desirable and valuable for individuals and their families. Psychological studies prove that stress status, suicide-related expressions, and social engagement are reliable predictors of suicide risk. However, existing clinical diagnosis can only provide effective treatments to a restricted number of people because of its limited capacity. With the popular usage of social media like microblogs, a new channel to touch the inner world of many potential suicides arises. In this paper,… More >

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