Quality of Life, Social Desirability and Their Relationship in Opium Addicted Persons in Southeast of Iran
Bibliographic record
Abstract
BACKGROUND & AIM: Addiction leads to many problems which may adversely affect addicted people, their families and impose health care agencies with many challenges. This study aimed to examined quality of life (QoL), social desirability and their relationship among opium addicted persons in southeast of Iran. MATERIAL & METHODS: In a cross-sectional study conducted from September 2012 to January 2013, 123 addicted people were studied. Date collection tools were; checklist of demographic data, Iranian version of the 36-item short form QoL (SF-36) and Marlowe-Crowne Social Desirability Scale (MC-SDS). RESULTS: While mean score of QoL was 60.4±29.5, mean score of social desirability were 14.2±3.7. Low, moderate and high levels of social desirability were observed in 4.9%, 90.2% and 4.9% of participants, respectively. Pearson's correlation were not significant between mean score of social desirability and mean score of QoL (p=0.969, r=0.004). CONCLUSION: Addicted participants of present study showed a moderate level of QoL and social desirability, without any significant relationship between QoL and social desirability. Further research is suggested in addicts with social and cultural differences.
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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".