Abstract P139: Do Your Income and Occupation Affect Your Leisure Time Physical Activity? Evidence from NHANES 1999-2006
Bibliographic record
Abstract
Background: Over ¾ of Americans fail to meet the AHA recommendations for leisure time physical activity (LTPA), with higher proportions found among lower income adults. However, this association may be moderated by activity levels that are necessary as a part of daily life, such as active transportation among those that cannot afford a vehicle, or physical labor in some lower wage-earning occupations. Data are limited to studies either not distinguishing between occupational and daily life PA, or using broad occupation job titles which may not represent the PA on an individual level. Objective: Determine the association between activity levels of daily life and LTPA. Methods: Participants were adults (20+ years) from the 1999-2006 National Health and Nutrition Examination Survey. Analyses were stratified by self-reported lifestyle (work, housework and school): 1) sedentary during the day (n=4233); 2) minimally active: stands or walks but does not carry or lift things often (n=11,853); 3) moderately active: carries light objects, or climbs hills often (n=4117); and 4) and very active: carries heavy objects (n=1586). Multivariable linear regression analyzed the association between annual household income (<$20K, $20K-45K, $45K-75K, $75K+ [reference]) and self-reported weekly minutes of moderate, vigorous, and total LTPA. Analyses included sampling weights to account for NHANES’ complex sampling design and adjusted for sex, age, marital status, ethnicity, weight status, whether the person actively commuted, and number of hours worked per week. Results: Lower income participants that were either very active, or sedentary during the day reported significantly less LTPA than those with comparable daily life activity levels but annual income $75K+. Conclusions: A gradient relationship between income and LTPA was seen in the two lifestyle extremes: the sedentary and very active. Public health actions aimed at increasing LTPA should be multimodal and aimed at changing both messaging and environments likely to promote LTPA.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".