Factors facilitating and inhibiting the social participation of the elderly in health-oriented activities in Shiraz, Southern Iran
Bibliographic record
Abstract
BACKGROUND: The social participation (SP) of the elderly is one of the factors that contribute to the improvement of their well-being. SP, one of the most important factors of active ageing, is mainly influenced by a number of facilitating or inhibiting factors. AIMS: This study aimed to identify the factors that prevent and facilitate the SP of the elderly population in Iran. METHODS: A cross-sectional study carried out in Shiraz, southern Iran in 2021. Participants were selected using a convenience sampling method. Shiraz is divided into 11 districts and the largest park in each district is selected for data gathering. The questionnaires were completed by 612 people aged over 60. Data were collected using the Canadian Elderly Survey Project scale and a health-related lifestyle questionnaire and were analyzed using t-test, ANOVA, Pearson's correlation, and ANCOVA. RESULTS: The mean SP score of the elderly in Shiraz was 24.2 out of 60, which is below the midpoint. The results of the covariance analysis revealed that the SP had a significant relationship with the experience of physician consultation, cost barriers, age, marital status, income level, and education level (P < 0.001). Moreover, the results of Pearson correlation revealed a significant correlation between SP and different dimensions of health-oriented activities (< 0.001). CONCLUSIONS: This study revealed that the main barriers to older people's participation in health-related activities are cost and access barriers, such as transportation issues. Moreover, higher income level and higher educational attainment have been recognized as the main facilitators of SP in the elderly. In this regard, it can be suggested to apply a combination of health promotion strategies, financial support programs, and development of optimal transportation infrastructure to increase the SP of the elderly.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".