Effect of Lifestyle on Reducing Risk Factors for Type 2 Diabetes among Arab Canadian Muslim Women: A Randomized Control Trial
Bibliographic record
Abstract
PURPOSE: This study aimed to investigate whether modifiable risk factors for type 2 diabetes (T2D) can be reduced by an intensive healthy lifestyle intervention designed for Arab Muslim women of Middle Eastern descent (AWMD) who are at high risk for this disease. We hypothesized that among Canadian AWMD, the intervention would (a) reduce the identified health risk factors for T2D (body mass index [BMI], ≥30 kg·m-2; fasting blood glucose [FBG], ≥5.6 mmol·L-1; and waist circumference [WC], ≥80 cm); (b) improve anthropometric measurements; (c) improve lifestyle factors (physical activity level [steps per day] and dietary habits); and (d) improve cardiovascular fitness and reduce blood pressure. METHODS: After informed consent, 60 participants were randomized to either an exercise and nutrition group (ENG; n = 30) or a control group (CON; n = 30). ENG attended a women-only supervised exercise program that presented Arabic music and traditional Lebanese Dabka three times a week in a Mosque gym for 12 wk. A nutritionist was available 1 h·wk-1 for nutrition education. The CON followed their typical day. RESULTS: ENG and CON had similar increased risk profiles for diabetes at baseline. Large significant pre/posttreatment interaction effects were found for BMI, FBG, and WC with a reduced diabetes risk for ENG compared with CON for BMI (1,58) = 1184.8, P < 0.001), FBG (1,58) = 187.7, P < 0.001), and WC (1,58) = 326.4, P < 0.001). The ENG had significantly more participants reach postintervention target values (BMI: χ2(1) = 16.48, P = 0.001; FBG: χ2(1) = 52.26, P < 0.001; WC: χ2(1) = 4.29, P = 0.038) compared with the CON. Adherence to the program was 100%. CONCLUSIONS: Modifiable risk factors for T2D were reduced by using a culturally sensitive intervention program with high adherence through weight loss, regular exercise, and nutrition education.
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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 | 0.021 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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".