ArticleHeliyon2022
Mental health in a heterogeneous clinical sample. A cross-sectional study of predictors and gender differences.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Women have been shown to be a vulnerable group in relation to mental health problems over time. Despite this, gender-focused studies are uncommon. The aim of this research is to study mental health in a sample of people with mental health problems and to analyze the differences and predictors focusing on gender. Methods: A cross-sectional study is conducted in a heterogeneous clinical sample in terms of mental health problems (N = 160). Interviews with hetero-reported standardized questionnaires to collect the data are conducted. Descriptive analyses, mean difference and a regression analysis on mental health are carried out taking into account different sociodemographic, clinical and psychosocial variables. Results: Women in the study present worse levels of mental health and subjective severity of the disorder. The main predictors of mental health are being female, followed by severity, shorter time with the diagnosis and internalized stigma. Conclusion: Being female is the most robust predictor of worse mental health and symptomatology. Recommendations according to the results found proposing a gender perspective are suggested.
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