The Association between Difficulty Seeing and Physical Activity among 17,777 Adults Residing in Spain
Bibliographic record
Abstract
This is the first representative population-based study exploring the association between difficulty seeing (i.e., low vision) and physical activity in Spain. Cross-sectional data from the Spanish National Health Survey 2017 were analysed (n = 17,777, ≥15 years; 52% females). Difficulty seeing was self-reported in response to the question ‘‘Do you have difficulty seeing?” The international physical activity questionnaire (IPAQ) short form was used to measure level of physical activity. Multivariable logistic regression was used to assess associations overall and by age group (15–49, 50–64, ≥65 years). Covariates included in the analysis were sex, age, education, marital status, use of glasses or contact lenses, cataracts, diabetes, obesity, hypertension, smoking and alcohol consumption. The overall prevalence of difficulty seeing was 11%, and the overall prevalence of participating in less than 600 metabolic equivalent (MET)-min/week of physical activity was 30.2%. After adjustment for covariates, difficulty seeing was associated with significantly higher odds of performing less than 600 MET-min/week of physical activity with the odds ratio (OR) = 1.222 (95% confidence interval = 1.099–1.357). Considering the impact on health and quality of life due to reduced physical activity in people with difficulty seeing, at least 600 MET-min/week of physical activity should be promoted to this population.
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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) | 0.000 | 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 | 0.001 |
| 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".