Exercise Guidelines for Women with Gestational Diabetes
Bibliographic record
Abstract
Low levels of physical activity may be contributing to the obesity and type 2 diabetes epidemics in women of child-bearing age. Physical activity levels may be evaluated using different tools but pedometers and accelerometers provide an accurate and objective method of measuring walking and other ambulatory activities. Physical activity levels based on step counts have been defined: <5,000 steps per day = sedentary, 5,000-7,499 steps per day = low active, 7,500-9,999 steps per day = somewhat active, 10,000-12,499 = active and www.intechopen.com Gestational Diabetes 340 12,500= highly active Pedometer data from the "American On the Move" study showed that women aged 18-39 years took approximately 5500 steps per day Similar results were found by Tudor-Locke et al. using accelerometer data from the 2005-2006 NHANES (Tudor-Locke et al., 2010). They reported that women took approximately 5,800 steps per day Interestingly, the authors also reported that normal weight women took more steps per day compared to overweight and obese women (6,486, 5,069 and 5,782, respectively). In Canada, accelerometer results from the 2007-2008 "Canadian Health Measures Survey" showed that women aged 20-39 years took nearly 9,000 steps per day. Again, obese women were less active compared to normal weight women. Noteworthy, studies conducted on populations that have a lower prevalence of overweight and obesity, like Japan and Australia, reported higher steps per day Achievement of public health recommendation (i.e 30 minutes of moderate-to-vigorous physical activity per day, accumulated in bouts lasting at least 10 minutes, on at least 5 out of 7 days (Canadian Society for Exercise Physiology & ParticipACTION, 2010; WHO, 2010)) were also examined using accelerometers. Results showed that less than 5% of women of child-bearing age meet these recommendations Taken together, these findings showed that women of child-bearing age are inactive and suggested that being sedentary, and the prevalence of physical inactivity, may be contributing to the obesity and diabetes epidemics.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".