The Association between Adiponectin Gene Polymorphism and Waist Circumference Changes in Obese/Overweight Adults after Aerobic Exercise and Diet Treatment
Bibliographic record
Abstract
Background: The Indonesian basic health research survey reports that the prevalence of overweight/obese (ow/ob) adults was increased from 15% in 2010 to 20% in 2013 for male, and 26% in 2010 to 35% in 2013 for female. Adiponectin is associated with various parameters of metabolic syndrome. This study aimed to investigate the effect of adiponectin gene polymorphism on waist circumference of ow/ob adults after aerobic exercise. Method: This experimental study was conducted on n=36 ow/ob women. This study used one group pre-posttest design. Respondents were instructed to perform alternately between aerobic exercise and OCD diet. The aerobic exercise was conducted three times a week. After conducting aerobic exercise, respondents performed OCD diet the following day. This alternating pattern was performed for 6 weeks. After performing 6-weeks aerobic exercise, waist circumference was then measured again. The measured variables were variation of adiponectin gene and waist circumference. The gene variation was performed at the Nechri Laboratory. Result: Overall, waist circumference was lowered from 80.42+-7.16 to 89.11+-6.67. The proportion of genetic variation proportion was found the highest in TT gene variation (75%). After aerobic exercise, waist circumference was significantly reduced in all TT and GT gene variation (p<0.001). There was no significant difference in waist circumference changes between gene variations. Conclusion: Gene variation did not directly contribute to the changes of waist circumference, but through the aerobic exercise practice plus OCD diet. Further study on a larger population and from a different characteristic and nutritional status is needed to see the effect of polymorphisms on anthropometric indices.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".