Globally the burden due to mental disorders is continuously increasing. Still, professional help-seeking behavior is not fully understood. To conceive cultural determinants of help-seeking is crucial to reduce personal and social costs of (untreated) mental disorders. The current study investigates mental health stigma and help-seeking attitudes in a Cuban (n = 195) and a German (n = 165) sample. In a questionnaire survey we asked for attitudes towards mental illness and professional help-seeking in the general Cuban and German populations. The cultural context was associated with mental health stigma and professional help-seeking attitudes. Interestingly, Cuban participants reported stronger mental health stigma and more willingness to seek help. In multiple hierarchical regression analyses, community attitudes towards the mentally ill significantly predicted help-seeking attitudes, especially in the Cuban sample. Only in the German sample, more negative individual beliefs about mental illness predicted more self-stigma on help-seeking. Beyond that, cultural context moderated the association between mental health stigma and help-seeking attitudes with a stronger association between the measures in the German sample. However, gender did not predict help-seeking attitudes and self-stigma on help-seeking and no interactions between community attitudes, cultural context, and gender were found in the prediction of help-seeking attitudes. Similarities and differences between the samples are discussed in the light of the cultural contexts and peculiarities of the current samples. Concluding, implications of the current findings are reviewed.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7877775 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246501 | PLOS |
JAMA Netw Open
January 2025
Millennium Nucleus to Improve the Mental Health of Adolescents and Youths (IMHAY), Santiago, Chile.
Importance: Mental health stigma is a considerable barrier to help-seeking among young people.
Objective: To systematically review and meta-analyze randomized clinical trials (RCTs) of interventions aimed at reducing mental health stigma in young people.
Data Sources: Comprehensive searches were conducted in the CENTRAL, CINAHL, Embase, PubMed, and PsycINFO databases from inception to February 27, 2024.
Int J MS Care
January 2025
Department of Psychology, University of Leicester, Leicester, United Kingdom.
Background: Multiple sclerosis is a chronic neurological disease that is commonly diagnosed in middle age and disproportionately affects women. Consequently, middle-aged men (as partners and husbands) are often the caregivers, a unique group in comparison with carers for people with other long-term neurological conditions, who are predominately women. Previous research has indicated that male carers respond differently from their female counterparts in terms of carer burden.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Objectives: Intimate partner violence (IPV) threatens women's health and safety. Support services can mitigate the impact, yet few survivors seek services in part due to social norms that discourage use. Little agreement exists on how to measure norms and attitudes related to IPV help-seeking.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Aims: This study aims to identify factors associated with mental health literacy (mental health knowledge and attitudes towards mental health and help-seeking behaviours), depression and anxiety amongst adolescents, and test the hypothesised model by examining the interrelationships between these outcomes.
Design: Cross-sectional descriptive quantitative research.
Methods: Using convenient sampling, 615 adolescents from four public schools completed online questionnaires measuring mental health literacy, depression, and anxiety.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!