Childhood adversity and leisure time physical and sports activity in older adults: A cross-sectional analysis from the International Mobility in Aging Study
Bibliographic record
Abstract
Aim: The purpose is to examine the relationship between childhood adversity and leisure time physical activity (LTPA) among community-dwelling older adults from high and middle-income sites. Methods: Cross-sectional analysis of 2012 data from older adult ages 64-75 years old from King-ston, Canada; St. Hyacinthe, Canada; Tirana, Albania; Manizales, Colombia; and Natal, Brazil. Principal exposure variables were childhood social and economic adversity. Covariates included participant age, sex, income, and educational attainment. Outcome variables were LTPA and lei-sure time sports activity (LTSA). Results: High-income sites had higher LTPA prevalence than middle-income sites. Females were less likely to engage in LTPA compared to males in Tirana (OR:0.53, 95%CI:0.30-0.94), but were more likely to engage in LTPA in Manizales (OR:2.54, 95%CI:1.54-4.18). Low education was less likely than high education to engage in LTPA in Kingston (OR:0.38, 95%CI:0.19-0.73) and Natal (OR: 0.52, 95%CI:0.28-0.97). Low income was less likely than high income to engage in LTPA in St. Hyacinthe (OR: 0.42, 95%CI:0.20-0.89) and Manizales (OR:0.33, 95%CI:0.16-0.55). In Tirana, low income was more likely than high income to engage in LTPA (OR:5.27, 95%CI:2.06-13.51). Conclusions: Childhood economic and social adversity were not significantly associated with LTPA. Sex, income, and education were associated with older adult PA engagement, however the direction of the association varied by site location. This suggests that the paradigms surrounding PA behavior may vary from city to city. Understanding the site-specific risk factors to PA engage-ment may better inform clinical recommendations and public health approaches to increase PA engagement among older adults across the globe.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".