Disordered eating behaviours during the menopausal transition: a systematic review
Bibliographic record
Abstract
Disordered eating refers to a range of eating behaviours and attitudes towards weight and food that can negatively influence physical and psychosocial well-being. The menopausal transition could be a vulnerable period for disordered eating due to major hormonal fluctuations, menopausal symptoms, common body composition shifts, and an increased risk of psychological challenges. This systematic review aimed to summarize evidence on the associations between the menopausal transition and disordered eating. Records published before October 2023 were identified through MEDLINE, PsycINFO, Scopus, Embase, and CINAHL. Studies investigating associations between menopausal status, menopausal symptoms, or reproductive hormone levels, and disordered eating during the menopausal transition were sought. A total of 1301 non-duplicate records were screened, with 10 studies deemed eligible for inclusion. Most included studies used a cross-sectional design ( n = 9). Findings include potentially higher levels of binge eating during the perimenopausal stage, whereas restrictive eating behaviours appeared more common during postmenopause compared to premenopause. Both studies investigating menopausal symptoms found strong positive associations with disordered eating. Nonetheless, findings are equivocal with contrasting results and limited methodological quality across studies. Further research is needed to verify these findings and better assist health professionals in supporting healthy eating behaviours in menopausal women during this complex transition. (PROSPERO ID: CRD42021290736)
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".