Comparison of Lifestyles of Women With Gestational Diabetes and Healthy Pregnant Women
Bibliographic record
Abstract
BACKGROUND: Gestational diabetes is the most common medical condition in pregnancy and can be a predisposing factor in incidence of type II diabetes in future. Incorrect lifestyles can predispose people to various diseases, including diabetes, which is a serious health risk. Therefore, this study was conducted to compare lifestyles of women with gestational diabetes and healthy pregnant women attending the health centers affiliated to Shahid Beheshti University of Medical Sciences (SBMU) in 2013. METHODS: A comparative-descriptive study was conducted on 100 pregnant women with definite diagnosis of gestational diabetes and 100 healthy pregnant women attending the health centers affiliated to SBMU. Data were collected by a researcher-made questionnaire about lifestyle during pregnancy. Informed consents were obtained, and sampling was performed using convenient multi-stage random sampling method. Data were analyzed using SPSS-18 software. RESULTS: Demographic and obstetrics variables were not significantly different in the two groups. However, two groups were significantly different regarding their lifestyles as the mean scores of pregnancy diet were 65.05 in the diabetic group and 74.12 in the healthy group (P<0.001), and the mean moderate physical activity scores in the two groups were 4.62 and 5.69, respectively (P=0.042), the mean pregnancy self-care scores were 71.9 and 81.87, respectively (P<0.001), the mean perceived social support in the two groups were 65.75 and 73.88, respectively (P<0.001), and the mean scores of perceived stress were 51.57 and 60.27, respectively (P<0.001). CONCLUSION: Women's lifestyles were different in some areas. This study further reveals the importance of women's diet, self-care, moderate physical activity, and perceived social support during pregnancy. Incidence of gestational diabetes can be prevented through increased awareness and education of pregnant women about having appropriate lifestyles during pregnancy and any intervention that would lead to improved lifestyle.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".