Avaliação da qualidade de vida, variáveis sociodemográficas e morbidades referidas de idosos no mercado de trabalho
Bibliographic record
Abstract
BACKGROUND: Aging should not be seen as a hindrance to the continuity of work, while including older adults in the labor market contributes to national economies. OBJECTIVE: To analyze the association between subjective quality of life (QoL) assessment, sociodemographic variables and self-reported morbidity among working older adults. METHODS: The present study was conducted at farmers' markets in Presidente Prudente, Sao Paulo, Brazil. Participants were 24 older adults aged 68.69±6.5 years old. We administered the World Health Organization Quality of Life (WHOQOL-bref) questionnaire, a sociodemographic questionnaire including working conditions and a questionnaire to survey the participants' medical history. The normality assumption was assessed with the Shapiro-Wilk test. Pearson's and Spearman's tests were used for correlation analysis. RESULTS: The sample exhibited average QoL. Most participants were female, with 1 to 8 years of formal schooling, married, with family income 1 to 3 times the equivalent of the minimum wage and sought healthcare within the national health system. All the participants lived in their own house. Hypertension was the most prevalent disease. CONCLUSION: QoL and morbidity exhibited moderate negative correlation. There was negative correlation between the QoL physical and psychological domains and variables years in the job, daily working hours, meal/rest breaks and number of meals/day. There was moderate negative correlation between the QoL environment domain and meal/rest breaks.
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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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; both teacher heads agree on what is shown here.
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".