ArticleBMC geriatrics2025
Investigating effective factors on musculoskeletal pain prevention behaviors in the elderly population living in nursing homes, based on the health belief model: structural equation modeling approach.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Coumarins in musculoskeletal health: a systematic review.Frontiers in nutrition · 2026Pooled it
- Machine learning-based cross-sectional exploration of depression-chronic pain associations in chronic respiratory disease patients.BMC geriatrics · 2026Observational
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Authors and funding
4 authors.
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Abstract
backgroundThe world's elderly population is increasing. Due to the increase in musculoskeletal disorders in this group and the multifactorial nature of this disease, this study investigated the effective factors in preventing musculoskeletal pain in the elderly living in nursing homes, based on the Health Belief Model.
methodsA cross-sectional design was conducted with a random sample of 311 older adult nursing home residents in the Kahrizak nursing home, whose aims were to identify the determinants influencing musculoskeletal pain prevention practices (intake of vitamin D, stress management, and correct body posture). Health Belief Model (HBM) questionnaires were employed to gather data, Visual Analog Scale (VAS) for pain severity, and the Depression, Anxiety, and Stress Scale (DASS). Data analysis was done using SPSS version 22 software and statistical indicators (frequency, percentage, and correlation). This study applied the Partial Least Squares technique of Structural Equation Modeling (PLS-SEM) using Smart PLS software to test the proposed relationships among the study variables. AMOS was employed to verify the hypothesized relationships between the constructs of the HBM using covariance-based structural equation modeling, whereas Smart PLS was utilized to evaluate the predictive performance of the model, especially for formative constructs like cues to action.
resultsThe average age of the elderly was 75.3. The correlation between age, weight, and depression was significant. The highest R² value for cues to action was 0.426. Results showed that knowledge had a strong impact on perceived benefits and self-efficacy, perceived sensitivity and severity had moderate impacts, and perceived barriers had a negative correlation with preventive behaviors. R² value of 0.426 indicated that measures like knowledge, self-efficacy, and stress management captured some variance on the construct cues to action and are an important element in HBM's core model, driving seniors to perform musculoskeletal pain prevention activities.
conclusionGiven that cues to action were a significant predictor of doing MSD preventive behaviours, frequent reminder mechanisms, such as daily reminders or educational programming, are recommended to convince older adults to take preventive measures, including vitamin D intake and correct posturing.
trial registrationIRCT20220904055881N1. Registered on 11 February 2023.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.