ArticleBMC geriatrics2023
The sleep patterns and their associations with mental health among nursing home residents: a latent profile approach.
Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Prevalence of sleep disorders among older adults in Chinese older adults care institutions: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- Psychological Distress Profiles in Women With Recurrent Pregnancy Loss During Subsequent Early Pregnancy and Their Association With Sleep Characteristics: A Latent Profile Analysis.Journal of clinical psychology · 2026Article
- Loneliness and Sleep Quality Among Older Adults Living in Nursing Homes.Nursing reports (Pavia, Italy) · 2026Article
- Factors associated with sleep quality in community-dwelling older adults: a latent class analysis.BMC geriatrics · 2026Article
- Enhancing Quality of Resident Care and Staff Efficiency Through Implementation of Sensors in the Long-Term Care Setting: A Multi-Site Mixed-Methods Study.Sensors (Basel, Switzerland) · 2025Article
- Sleep and neurocognitive function in the geriatric population: a cross-sectional comparison between nursing-home and community-dwelling older adults.Sleep & breathing = Schlaf & Atmung · 2025Article
- Exercise self-efficacy in older adults with metabolic-associated fatty liver disease: A latent profile analysis.Sports medicine and health science · 2025Article
- The relationship between pain, sleep quality, and care dependency in older adults living in a long-term care facility.BMC geriatrics · 2025Article
- Depression mediates the association of healthy sleep patterns with suicidal ideation among U.S. adults.Frontiers in psychiatry · 2025Article
- Sleep patterns and their associations with psychiatric symptoms among Chinese healthcare workers: a latent profile analysis.Frontiers in psychology · 2024Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNursing home residents commonly experience poor sleep conditions. However, few studies have explored the potential sleep patterns among nursing home residents. This study aimed to identify the sleep patterns in nursing home residents, compare residents' characteristics across sleep patterns, and examine the relationships between sleep patterns and residents' mental health (i.e., depressive and anxiety symptoms).
methodsThis cross-sectional study was conducted in 27 nursing homes in Jinan, China, from March to June 2018. In total, 353 participants were recruited via convenience sampling, and of which, 326 completed the survey. A latent profile analysis was performed to identify sleep patterns based on the seven dimensions of the Pittsburgh Sleep Quality Index. Bivariate analyses were conducted to compare residents' characteristics among the sleep patterns. Mixed-effects logistic regression analyses were adopted to investigate the relationships between sleep patterns and residents' mental health.
resultsThree sleep patterns were identified, including 'good sleepers', 'poor sleepers without hypnotic use', and 'poor sleepers with hypnotic use'. Residents' gender, education, pain, instrumental activities of daily living, and number of chronic conditions were significantly differentiated across the sleep patterns. Compared with 'good sleepers', 'poor sleepers without hypnotic use' were significantly associated with more depressive symptoms (OR = 3.73, 95% CI = 2.09, 6.65, p < 0.001), but not with anxiety symptoms (OR = 2.04, 95% CI = 0.97, 4.29, p = 0.062); whereas 'poor sleepers with hypnotic use' had significantly more depressive (OR = 5.24, 95% CI = 2.54, 10.79, p < 0.001) and anxiety symptoms (OR = 5.02, 95% CI = 2.13, 11.83, p < 0.001).
conclusionsThis study reveals three distinct sleep patterns in nursing home residents and their significant associations with residents' mental health. These findings can inform future research to develop appropriate and tailored intervention strategies for improving sleep and promoting mental health for nursing home residents.
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