An interdisciplinary intervention improves lifestyle behaviours in women living with obesity and subfertility: A secondary analysis of a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND & AIMS: There are few effective interdisciplinary lifestyle programs aiming to support women with obesity who are seeking fertility treatments. This study aims to determine whether the Obesity-Fertility lifestyle program leads to healthier lifestyle behaviours in women with obesity and subfertility compared to controls. METHODS: This is a secondary analysis of an open-label randomized controlled trial whose primary outcome was live birth rate. Women with obesity and subfertility were randomized to the lifestyle (LSG = 65) or control (CG = 65) groups. The LSG participated in individual and group sessions with a dietitian and a kinesiologist, while the CG received the usual care of the fertility clinic. Data on food consumption, physical activity, sedentary time, and smoking and alcohol use were collected before and 6 months after the intervention. Functional capacity was evaluated with a 6-min walk test (6MWT). Changes in lifestyle after 6 months were compared between groups with p-values corrected for the outcome baseline data. RESULTS: From January 2012 to September 2016, 130 women were randomized, 85 of whom had data available at 6 ± 1 months (LSG = 42 and CG = 43). Groups had similar sociodemographic characteristics and lifestyle behaviours at baseline, except for lower prevalence of smoking in LSG (9.5 %) vs CG (34.9 %) (p = 0.005). After 6 months of follow-up, and compared to the CG, women in the LSG significantly improved their intake of whole fruits (+1.1 ± 1.2 vs +0.4 ± 0.8/day, p = 0.001), whole grain products (+1.0 ± 1.3 vs +0.04 ± 1.2/day, p < 0.001), dairy products (+0.4[0; 0.9] vs -0.1[-0.7; 0.3]/day, p < 0.001); breakfast frequency (+1.4 ± 2.6 vs +0.5 ± 1.8/week, p < 0.001); proportion of active women (>3 kcal/kg/day: +14.2 % vs +2.3 %, p = 0.003); and time spent in sedentary behaviour (-6.7 vs -0.1 h/week, p < 0.005). Distance covered during the 6MWT tended to increase more in LSG vs CG (+28.8 ± 42.1 vs +5.5 ± 42.6 m, p = 0.06). No significant difference was found between groups for sleep duration, alcohol consumption and smoking use. CONCLUSION: After 6 months, the Obesity-Fertility program significantly improved diet quality, physical activity level and sedentary behaviour in women with obesity and subfertility. Such programs can therefore support these women to adopt healthier lifestyle behaviours. GOV REGISTRATION NUMBER: NCT01483612.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".