Does BMI Really Alter the Hormonal Profile in Infertile Women? Retrospective Study in the Region of Sidi Bel Abbes (West Algeria)
Bibliographic record
Abstract
Background: In last few years .; it’s increasingly being recognized that Reproductive function is controlled by the hypothalamic–pituitary– gonadal axis, which is regulated by numerous endogenous and environmental factors such us adipose accumulation in obesity contributing to reproductive failure such as menstrual disorders and infertility, gestational failure and obstetric complications, and infertility , Distinct changes in circulating sex hormones appear to underline these abnormalities. The objective: The aim of this study was to elucidate the possible correlation between body mass index as fatness indicator and hormonal profile in infertile women from the west of Algeria. To identify the impact of overweight and obesity on female hormonal profile ; we conducted a prospective study measuring pituitary hormones (FSH and LH and prolactin ) , steroid sex hormones ( progesterone , testosterone and estradiol ) , anti miulleian hormone , and thyroidal hormones (FT3 , FT4 and TSH) in 360 women consulting for subfertility in private genecologycal and obstetrical centers in SID BELABESS (West of Algeria ) Result: Our study showed that the majority of patients were aged between 20 and 29 years, representing a percentage of 47.8%, with the average age in sample (31.65 ± 6,93ans). The majority of subjects was obese 46.4%, or overweight (39.4%) with an average BMI of (29.76 ± 4,85Kg / m2). No statistically significant association was found between the BMI as obesity indicator with hormonal levels of pituitary hormones (FSH and LH and prolactin ) , steroid sex hormones ( progesterone , testosterone and estradiol ) , anti miulleian hormone , and thyroidal hormones (FT3 , FT4 and TSH). A negative and statistically significant correlation between the age of the patients and the AMH level (R = -0.60, P <0.01) was noted. Conclusion: The results of our study showed that the majority of women included in our study had a high BMI but no statistical significant difference was found between underweight , normal , overweight and obese women , that’s why more studies should be conducted to elucidate the in which level does obesity impair the reproductive outcomes. Keywords: Female infertility, hormonal profile, BMI, SBA, Algeria.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".