Examining the association of psychosocial and health behaviors with life satisfaction among canadians: a nationally representative study
Bibliographic record
Abstract
BACKGROUND: Given life satisfaction is a key component or indicator of Quality of Life (QoL), previous studies in Canada have made some attempt to analyze its main determinants at population level. However, our knowledge of the association between psychosocial factors (e.g., sense of belongingness) and health behaviors (e.g., smoking, alcohol intake, and physical activity) and life satisfaction is limited. Understanding the associations between these key variables and life satisfaction is vital for informing interventions and improving well-being. This study aims to address this research gap by examining the relationships between psychosocial factors, health behaviors, and life satisfaction among Canadians aged 12 and above. METHODS: Data from the 2017-2018 Canadian Community Health Survey (CCHS) were utilized for this study, encompassing information from a large sample of 113,000 Canadians aged 12 and above. Generalized Ordered logistic regression models were employed to assess the association of psychosocial and physical health behaviors with life satisfaction. RESULTS: The study revealed significant associations between psychosocial factors, health behaviors, and life dissatisfaction among Canadians. Respondents living in moderately and severely food insecure households have 2.239 times (95% CI: 1.799-2.786) and 5.093 times (95% CI: 4.097-6.332) higher incidences of experiencing life dissatisfaction, respectively, compared to food-secured households. Respondents with a somewhat weak and very weak sense of belongingness had 2.635 times (95% CI: 2.048-3.391) and 6.740 times (95% CI: 5.210-8.717) higher chances, respectively, of falling into the life dissatisfaction category compared to being satisfied. Higher BMI and obesity were linked to increased life dissatisfaction, while physical activity exhibited a positive relationship with life satisfaction. Smoking was associated with higher levels of life dissatisfaction. CONCLUSION: These findings underscore the importance of considering both psychosocial factors and physical health behaviors in understanding life dissatisfaction among Canadians. The results suggest that interventions targeting social factors, such as promoting a sense of belongingness and addressing socioeconomic disparities, alongside efforts to promote healthy lifestyle behaviors, may contribute to improving subjective well-being and life satisfaction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".