Effects of a community health promotion program on social factors in a vulnerable older adult population residing in social housing
Bibliographic record
Abstract
BACKGROUND: Supporting older adults' health and wellbeing in the community is an important policy goal that can be supported by health promotion. Despite widespread acceptance of the biopsychosocial model of health and its relation to health, many health promotion programs fail to realize this model in program design. Further, there is limited evidence to support program design targeting social determinants of health such as social isolation or connectedness. To fill this gap, we aimed to understand older adult's experiences participating in cardiovascular health promotion program in a subsidized residential building to capture unintended 'spin-off' psychosocial effects. METHODS: This study took a constructivist, ethnographic approach utilizing participant observation and semi-structured interviews with participants of the program to understand participant's lived experiences of a health promotion program. In total, we conducted eighty hours of field work and fifteen semi-structured interviews with participants of the program. Thematic analysis was used to analyze the data. RESULTS: Four themes emerged. First, the health promotion program filled a perceived gap caused by a constrained and impersonal health care system. Secondly, the program connected older adults with resources and provided regular and secure access to health information and support. Third, for some residents, the program facilitated social relationships between older adults, leaving participants feeling more socially connected to other residents. Lastly, a paradox of loneliness emerged where older adults talked openly about feelings of loneliness, however not in relation to themselves, but rather regarding their peers. CONCLUSIONS: Psychosocial aspects of health, such as loneliness, social connectedness, and social support may be of equal value as the physical health benefits to the older adults who participate in health promotion programs. Incorporating these elements into programming is a complex goal, and the complexity of targeting social determinants of health such as social loneliness or connectedness should not be under-estimated. Given the benefits of targeting social determinants of health, future research should be considered that measure both the objective and subjective aspects of social isolation, loneliness and connectedness in health promotion programming.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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".