The Quality of Life and Economic Burden of Erectile Dysfunction
Bibliographic record
Abstract
Erectile dysfunction (ED) is a common disorder in adult males that results in withdrawal from sexual intimacy, psychosocial problems (ie, poor self-esteem, depression, anxiety), decreased work productivity, and reduction in quality of life for both the men suffering from ED and their female partners. A pragmatic literature review was undertaken using PUBMED to identify original research studies published over the past 20 years that assessed the impact of ED on a male's quality of life, the impact of ED on a female partner's quality of life, or the economic impact of ED on employers. Twenty studies were selected for inclusion. This review showed that men with ED have a poorer quality of life than men without ED (n=9 studies). Results from a global burden of illness study showed that men with ED report substantially lower SF-36 Mental and Physical Component Summary scores and SF-6D scores compared to men without ED (p<0.001). Similarly, the partner is also negatively impacted by ED due to relationship difficulties and decreased sexual satisfaction (n=8 studies). Results from the Female Experience of Men's Attitudes to Life Events and Sexuality study showed that females were significantly less satisfied and engaged in sexual activity less frequently after their partner developed ED (p<0.001). ED also poses a substantial economic burden on employers (n=3 studies). An observational study in men aged 40-70 showed that men with ED had significantly higher rates of absenteeism (2x) and work productivity impairment compared to men without ED (p<0.001). Overall, this contemporary review demonstrated that ED imposes a substantial quality of life burden on men and their female partners as well as a significant economic burden on their employers. These findings underscore the need for more education and awareness of the burden of ED and greater access to appropriate ED treatments to help alleviate this burden.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".