Sociodemographic Factors in Older Adults’ Gait Speed Decline: A Gender Disaggregate Growth Curve Analysis of the Ibadan Longitudinal Study of Ageing
Bibliographic record
Abstract
Background Gait speed is an important predictor of older adults’ well-being. We estimated the influence of sociodemographic factors on the gait speed decline of community-dwelling older Nigerians. Methods Using the Ibadan Study of Ageing (2007, 2008, and 2009 cycles), we completed a gender disaggregate analysis of sociodemographic influences on participants’ gait speed trajectory using mixed-design ANOVA and growth curve analysis. Results At baseline, 53.2% of participants were female, 61.9% were married, with an average age of 75.5 ± 6.8 years and gait speed of 0.96 ± 0.32 m/s. Gender-specific models showed slower gait speed decline in men (β = −0.05, p < .001) compared to women (β = −0.09, p < .001). Widowhood (β = −0.07, p = .001) for women, high socioeconomic status (β = −0.01, p = .009) for men, and chronic disease burden for women (β = −0.02, p = .010) and men (β = −0.03, p = .008) were significant predictors of gait speed decline. Conclusion Addressing culture-related widowhood and women’s vulnerabilities, improving health coverage, and promoting lifestyle modifications may mitigate mobility decline among older Nigerians.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".