Predictors of social intermediate factors associated with sexual quality of life of women: systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Sexual problems and diminished sexual quality of life can adversely affect the physical, psychological, and emotional health of women. The present study was done to determine the social intermediate factors of health associated with sexual quality of life in women of reproductive age. DESIGN: Systematic review and Meta-analysis. DATA SOURCES: Embase, Web of Science, PubMed/Medline (NLM), ProQuest, and CENTRAL. ELIGIBILITY CRITERIA: Observational studies (cross-sectional, case-control, cohort) from 2010 to 2022 with no language constraints were included. The sexual quality of life, as the main variable of the study, has been evaluated using Symonds women's sexual quality of life scale (SQOL-F). The health social determinants intermediate factors based on WHO model were considered as exposure variables. DATA EXTRACTION AND SYNTHESIS: The data of included studies were extracted by two independent persons through a researcher-made checklist according to the study aims. Quality assessment of studies was done using Newcastle-Ottawa instrument. R software (Version R-4.2.1) were used for meta-analysis. Publication bias was evaluated by Egger & Begg tests. Sensitivity analysis was done through one-out remove approach. RESULTS: Eventually, 15 studies were eligible to be included in this systematic review and meta-analysis. Variables of depression, quality of marital relation, body image, self-esteem, physical activity, and sexual function were among the health social intermediate factors associated with sexual quality of life. Publication bias had no effect on the obtained results; no study affecting the results was found through sensitivity analysis. CONCLUSION: Considering the relationship between modifiable factors and sexual quality of life, it seems that identification of these factors can be an important step towards designing interventional studies to help women experience enhanced sexual quality of life.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.034 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".