Two-year follow-up of a brisk walking programme on fitness, perceived health and physical activity engagement in postmenopausal women
Bibliographic record
Abstract
Objective: Brisk walking helps postmenopausal women to maintain body weight and fat mass losses as well cardiorespiratory fitness (CRF) and to feel better. However, these long-term benefits have not been fully examined. The aims of this study were to compare the effects of a 2-year follow-up with those of a 4-month walking programme on body composition, resting blood pressure (BP), CRF and perceived health of 248 sedentary postmenopausal women (60 ± 5 years) with overweight-to-moderate obesity (body mass index, BMI, 30 ± 4 kg/m 2 ). Method: From the study-population, 196 women engaged in an outdoor walking programme consisting of three sessions of 45 minutes/week at 60% of their heart rate reserve (initially exercised, IEx, group), and another 52 formed the initial control group (ICo). Ninety-one IEx and 18 ICo women were re-examined 2 years later, for all outcomes. Results: In IEx women, decreased body weight, fat mass and BP versus the increased CRF (.0001 < p < .001) as well as improvements in four on six items of perceived health (.0001 < p < .05) were maintained at follow-up. In ICo women, reduced BP and improved perceived healthy balanced diet were the only benefits at follow-up ( p < .05). Of the 91 IEx women, 70 remained physically active (60 minutes/week), and 46 of them engaged in physical activity more than 150 minutes/week. In ICo women, 16 became physically active (60 minutes/week), while 9 of them reached 150 minutes/week. Conclusion: The regular practice of brisk walking in greenspaces could thus be considered a useful health education strategy for middle-aged women.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".