Interconnections of physical activity, cognition, functional health and social connectivity with perceived happiness among rural adults: Population based study
Bibliographic record
Abstract
Background Successful aging, within the context of a life course approach, emphasizes the direct proportionality of happiness with physical, cognitive, mental, and social well-being. Subjective well-being is a robust predictor of the overall health and functioning of individuals. The current study examines the association of happiness with physical activity, cognition, social connectivity, and functional health in middle and old-age populations from rural communities. Method A cross-sectional design was applied to collect data among 270 adults (40-90years), under the purview of Patancheru rural health center on happiness (Oxford Happiness Questionnaire-OHQ), physical activity (International Physical Activity Questionnaire-IPAQ), Cognition (Montreal Cognitive Assessment-MoCA), Social connectivity (Duke Social Support Index-DSSI) and overall functional health by using standard tools. Association was measure using chi-square test of independence and Spearman's correlation was used and results were derived at a 95% confidence interval with a significance level set at 0.5, 0.01, and 0.001. Results Findings of the study highlight a positive association between socio-demographic variables such as age, education, marital status, occupation, and income with happiness. Cognition was a strong correlate of happiness (0.473) followed by physical activity (PA) (0.2195) while social connectivity showed a weaker association (0.0469). Conclusion Outcomes of the study indicates an overall positive relationship of happiness with multidimensional components of health and wellbeing in aging population. Promoting physical and cognitive interventions, integrating social component from midlife will be a sustainable approach to promote healthy and active aging in aging population in general and in rural adults in specific for sustainable and healthy societies.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".