Sexual dysfunction in alcohol-dependent men and its correlation with marital satisfaction in spouses: A hospital-based cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Chronic use of alcohol affects almost every organ system of the body, including male sexual functions. There are only a few Indian studies, which have assessed sexual functions in alcohol-dependent (AD) men and many of them have limitations. This study was aimed to assess sexual functions and marital satisfaction among AD individuals compared to matched controls. SUBJECTS AND METHODS: A cross-sectional descriptive study was carried out on 70 AD men (study group) and an equal number of matched controls and their spouses in the Department of psychiatry of Jawahar Lal Nehru Medical College, Ajmer. Clinical Institute Withdrawal Assessment of Alcohol Scale, Revised, and Severity of Alcohol Dependence Questionnaire (SADQ) were used to assess withdrawal state and severity of alcohol dependence in the AD group. Marital Adjustment Test (MAT) and Arizona Sexual Experience Scale (ASEX) were used in both study and control groups to assess marital satisfaction and various aspects of sexual functioning. RESULTS: More than half of the men (58.6%) with alcohol dependence were found to have sexual dysfunction compared to only one-fifth in the control group (18.5%). The most commonly affected sexual functions were the ability to get and keep erection (70%) and arousal (62.8%). There was a large negative correlation of MAT scores in the AD group with the SADQ, rho (ρ) = -0.68, and sexual dysfunction (ASEX), rho (ρ) = -0.57. However, the duration of alcohol use did not have any significant association with marital satisfaction. CONCLUSIONS: This study showed that participants with AD were more likely to have sexual dysfunction and lower level of marital satisfaction in their spouses. This effect was not because of acute intoxication of alcohol or withdrawal symptoms. We need further research to ascertain whether sexual dysfunction and marital dissatisfaction is a result of alcohol dependence or its reinforcer or both.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".