ArticleInternational journal of public health2024
Mental Multimorbidity Among General-Population Adults: Sex-Specific Sociodemographic Profiles of Anxiety, Insomnia, and Eating Disorders.
Article in International journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Preventing Multimorbidity: Moving Beyond the Single Disease Lens.International journal of public health · 2025Article
- Methodological Considerations and Future Directions in Mental Health Multimorbidity Research: Response to Andreeva et al.International journal of public health · 2024Article
- Response to M. Zhang.International journal of public health · 2024Article
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Authors and funding
10 authors.
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Abstract
Objective: To determine the prevalence and sociodemographic profiles of mental morbidity and multimorbidity. Methods: A descriptive analysis was performed with data from 25,269 women and 8,389 men from the French NutriNet-Santé general-population cohort. Participants were split into 8 groups: 1. No mental morbidity; 2. Pure anxiety; 3. Pure insomnia; 4. Pure eating disorders (ED); 5. Comorbid anxiety and insomnia; 6. Comorbid anxiety and ED; 7. Comorbid insomnia and ED; 8. Multimorbid anxiety, insomnia, and ED. Data were weighted using the 2016 French Census and analyzed with Chi Results: 40.6% of the participants had ≥1 mental disorder; 2.3% had all 3 disorders. Most pure and comorbid disorders were more common in women than in men. The multimorbidity group had the largest proportions of men who were overweight (52.1%) and current smokers (23.2%). Men with insomnia and ED were the most likely to have obesity (45.8%) and low physical activity (44.3%). Women with ≥2 disorders were the most likely to be current smokers. Conclusion: The findings could inform research, prevention, and public health guidelines for multimorbidity.
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