Prevalence of anxiety symptoms in infertile men: a systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background Infertility in men causes problems in various aspects of their lives, including personal, family and social life. One of the most important of these problems is anxiety. Anxiety in infertile men can affect their health, quality of life, and response to treatment, highlighting the significance of anxiety in these men. Thus, this systematic review and meta-analysis was conducted to investigate the prevalence of anxiety symptoms in infertile men. Methods To conduct this review study, two researchers independently searched international databases such as PubMed, Cochrane Library, Web of sciences, Scopus, PsyINFO, and the Google scholar search engine in English without considering any time limit until January 2, 2024. Keywords such as "anxiety," "infertility," "prevalence," and "epidemiology" were used, taking into account the specific search method of each database. Using the Newcastle–Ottawa Scale (NOS), the quality of the articles was evaluated by two researchers independently. Results In the systematic part of the study, 27 studies were included, and given the variety of measurement tools (8 different tools) used to investigate anxiety symptoms in infertile men, 24 studies were analyzed in five subgroups of tools. The pooled prevalence of anxiety symptoms in infertile men was 21.37% (95% CI: 15.73–27.02). The lowest and highest prevalence of anxiety in infertile men were related to the Beck anxiety inventory (BAI) and Depression Anxiety Stress Scales (DASS), accounting for 7.08% (95% CI: 3.27–10.90) and 34.90% (95%CI: 28.90–40.90) values respectively. This prevalence was 19.80% (95%CI: 9.01–30.59) for the Hospital Anxiety and Depression Scale (HADS), 30.06% (95%CI: 18.59–41.52) for the Spielberger Trait Anxiety Inventory (STAI-T), and 18.52% (95%CI: 7.76–29.29) for the Self-Rating Anxiety Scale (SAS). Conclusion The results of this systematic review and meta-analysis indicated that the prevalence of anxiety symptoms in infertile men requires special attention to healthcare planning. The healthcare system of different countries should evaluate the symptoms of anxiety in infertile men and take appropriate measures to reduce them according to the culture of the countries. It is recommended that all infertile couples be assessed for anxiety symptoms using a standardized tool during their initial evaluation.
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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 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.031 |
| Bibliometrics | 0.008 | 0.007 |
| 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) | 0.004 | 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".