Knowledge, attitude and practice of elders about sexuality
Bibliographic record
Abstract
Background : Sexuality has been considered as one of the most natural and main aspects of life that affect an individual's identity as a human being. Not only the sexual activity provides happiness for older adults, it may also maintain a sense of self-esteem. Until recently, little attention was paid to sexuality of elderly people in many countries. Aim of the study was to identify knowledge, attitude and practice of elders about sexuality. Methods : Descriptive design: This study was administered in three elderly clubs in Mansoura city, Dakahlia Governorate. Subjects: 158 elderly people attending those clubs were included in the study. Data were collected through using four tools; Socio-demographic data and factor affecting sexual relationship, Knowledge about sexuality, Attitude and practice of elderly about sexuality. Results : The majority of the target subjects were females; more than half had moderate knowledge about sexuality and very few sexual relationships, most of the subjects reported that sexuality is unnecessary for them and that the most common risk factor influencing sexuality is the psychological condition. Conclusions : It was concluded that a negative correlation occurred between knowledge and attitude and the majority of target subjects had a neutral attitude. Therefore, it is recommended to implement a health education program about sexuality. This will help to improve knowledge, attitude and practice concerning sexuality.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".