ArticleScientific reports2022
Association between quality of life, sleep quality and mental disorders in Iranian older adults.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Latent class analysis for quality of life status, sleep quality and anxiety in patients with type 2 diabetes.BMC endocrine disorders · 2025Article
- The association between lifestyle risk score and mental health in Iranian overweight and obese women: a cross-sectional study.Frontiers in nutrition · 2025Article
- Subjective sleep quality and sleep habits of elderly inhabiting rural areas of Sambalpur district of Odisha, India.PloS one · 2024Article
- A nationwide study on sleep complaints and associated factors in older adults: ELSI-Brazil.Cadernos de saude publica · 2023Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging as a major challenge can affect the development and growth of countries all around the world. This study aimed to identify the subgroups of the elderly based on the quality of life (Qol), sleep quality, and common mental disorders and assess the role of demographic characteristics on the membership of participants in each latent class. This cross-sectional study was conducted on 1064 people over the age of 60 years. The sample was selected through cluster sampling in northern Iran. All participants completed six sets of checklists and questionnaires. Data analysis was performed using latent class analysis. Three latent classes were identified; namely, (1) healthy (66.8%), (2) anxious and with poor sleep quality (28.6%), and unhealthy (4.6%). Being Female significantly increased the odds of membership in classes 2 and 3 compared to class 1. Furthermore, living in urban areas increased the odds of belonging to class 2 and class 3 compared to class 1. Illiteracy was also shown to increase the odds of being in class 3 in comparison to class 1. Results from the present indicate that the co-occurrence of health problems in 33.2% of the elderly was observed in various forms. The results of this study can be used in prioritizing health programs for the elderly and emphasizing high-risk groups.
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