Factors Related to Self-perceived Health in Rural Men and Women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examined self-perceived health status among men and women who live on farms, as well as variations in factors related to negative health status observed by gender. Data were collected in the province of Saskatchewan, Canada, in 2013 through the use of a cross-sectional survey. A multistage sample was developed consisting of farms nested within rural municipalities and then agricultural soil zones. The response rate was 48.8% at the farm level, with a final sample of 2,353 (1,416 men, 937 women) from 1,119 farms. Variables under study included self-reports of health status, as well as demographic, behavioral, and farm operational factors that could influence perceived health status. The analysis was initially descriptive followed by multilevel logistic regression analyses. Self-reports of diagnosed comorbidities were strongly associated with negative health status among both men and women. Daytime sleepiness was more modestly associated with negative health status in both genders. Among men, additional risk factors tended to be functional, and included older age, part-time work status, and binge drinking. Among women, additional risk factors included cigarette smoking, overweight or obesity, and lower levels of education. The study demonstrated that there were both similarities and differences between men and women on farms in the factors related to negative self-perceived health status. These findings should inform the content and targeting of health promotion programs aimed at rural populations.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it