Predictors Of Adherence To A Physical Activity Guidelines-Based Intervention In Women: A Pilot Study
Bibliographic record
Abstract
PURPOSE: The ACSM recommends that all adults perform >150 min/wk moderate-to-vigorous physical activity (MVPA) for health. Yet, women are less adherent to these guidelines than men. Identifying predictors of adherence in women may provide insight on which women require additional support to meet physical activity (PA) guidelines. Thus, the objective of our study was to identify predictors of adherence to a 6-week PA guidelines-based intervention among women. METHODS: 20 sedentary women (age 53 ± 12 years; BMI 29.1 ± 6.9 kg/m2; MVPA <30 min/wk) with cardiometabolic risk factors were recruited. The intervention consisted of two supervised (~30 min/session) sessions per week, and a progressive plan for unsupervised PA to reach 150 min/wk MVPA (i.e., >40% heart rate reserve) by week 3. Adherence was monitored via a continuously worn smartwatch. Adherence was calculated as total weekly min / prescribed min and averaged across all weeks for each participant, with those >80% classified as adherent. Potential predictors were identified via baseline assessments and questionnaires prior to the start of the intervention. To identify predictors of 80% adherence, purposeful forward model selection was undertaken using the Hosmer-Lemeshow method. Risk ratios (RR) and 95% confidence intervals (CI) were produced using modified Poisson regression. RESULTS: The average adherence was 82 ± 15% and 13 (65%) women had >80% adherence. Older age (RR 1.10, 95% CI 1.02, 1.19) as well as lower emotional wellbeing (RR 0.96, 95% CI 0.92, 1.00) and higher social functioning at baseline (RAND-36; RR 1.04, 95% CI 1.00, 1.07) were significantly associated with 80% adherence. BMI as well as general health and energy/fatigue (RAND-36) were also retained in the final multivariable model as they improved model fit. CONCLUSIONS: Our pilot study shows that key demographics and metrics of quality of life may predict adherence to a PA guidelines-based intervention. Yet, larger sample sizes are needed to better elucidate demographic and behavioral predictors of exercise adherence among women so interventions can be tailored to increase their adherence to PA guidelines.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".