Biopsychosocial Effects of a Conventional Exercise Program and Culturally Relevant Activities in Older Women From Mozambique
Bibliographic record
Abstract
AIM: This randomized controlled trial compared the effects of a Conventional Exercise Program (CEP) and Culturally Relevant Activities (CRA) on body mass, cardiovascular risk, functional fitness (strength, flexibility, cardiorespiratory fitness, and agility), self-efficacy, and self-esteem in older women dwelling in Mozambique. METHODS: Fifty-seven women (67 [7] y) underwent 60-minute sessions of CEP (n = 28) or CRA (n = 29) performed 3 days per week for 12 weeks. CRA included Mozambican traditional dances and games (intensity corresponding to scores 3-4 of BORG-CR10 scale), and CEP included 20-minute stationary cycling (65%-75% heart rate reserve) and a resistance training circuit (8 exercises, 15-repetition maximum). RESULTS: CEP and CRA (P < .05) showed increased percent fat (3.4% and 5.3%), waist circumference (3.3% and 5.8%), and cardiorespiratory fitness (14.4% and 9.4%), and decreased triglycerides (-20.0% and -77.8%). In CEP (P < .05), body mass (2.9%), body mass index (3.2%), and high-density lipoprotein (10.0%) increased, while glycemia (-4.8%) and total cholesterol (-9.8%) decreased. Blood pressure slightly increased in CEP (6.2%, P > .05) and CRA (4.3%, P < .05). Self-efficacy and self-esteem increased to similar levels in both groups (15%, P < .05). CONCLUSIONS: CEP and CRA were capable to improve biopsychosocial health-related variables in Mozambican older women. Culturally referenced PA interventions should be considered as an alternative in African countries.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".