Behavior-Related Erectile Dysfunction: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Erectile dysfunction (ED) is a common problem among men across the world. It is usually multifactorial in origin. Behavioral factors can be related to the development of ED and related to many other chronic diseases. It impacts not only the sexual function but also the psychology and their overall quality of life. AIM: To determine the association of the behavior factors in relation to ED and to identify the risk and protective factors. METHOD: A systematic review search based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis was conducted. The primary databases PubMed, PlosOne, Oxford Academic, SCOPUS, and Ovid were accessed using specific keyword searches. Quality of articles was assessed by using Newcastle-Ottawa Assessment Scale according to the study design. OUTCOME: Evaluation of the relationship between behavioral factors and ED. RESULTS: 24 studies were identified from the 5 databases which met the predetermined criteria. Overall, the study population include adult male age between 18 and 80 years. The sample size of the studies ranges from 101 to the largest sample size of 51,329. Smoking, alcohol, and drugs usage are found to be risk factors for ED. Meanwhile, dietary intake, physical activity, and intimacy are the protective factors for ED. CLINICAL IMPLICATION: The findings from this review may aid clinicians to aim for early detection of ED by screening their risk factors and providing early treatment. This can also be used to promote awareness to the community on the sexual health and factors that can affect their sexual function. STRENGTH & LIMITATION: This study looks at all types of behavioral factors that may affect ED; however, there was a substantial heterogeneity detected across the selected study factors. Furthermore, the lack of PROSPERO registration is also a limitation in this study. CONCLUSION: Overall, smoking, dietary intake, alcohol consumption, drugs, and physical activities are modifiable risk factors for ED in men. Therefore, it is crucial to promote healthy lifestyle and empower men to prevent ED and early detection of ED for early treatment. Sivaratnam L, Selimin DS, Abd Ghani SR, et al. Behavior-Related Erectile Dysfunction: A Systematic Review and Meta-Analysis. J Sex Med 2021;18:121-143.
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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 | 0.011 | 0.030 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.028 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".