The Turkish version of the Laval quality of life Questionnaire reliability and validity in obesity
Bibliographic record
Abstract
Obesity is a disease that affects quality of life. This study was planned to evaluate the Turkish validity and reliability of the LAVAL quality of life questionnaire. The study was conducted in Izmir Bayraklı District Health Directorate Healthy Life Center No. 1 (October 1, 2021-November 15, 2021) and Gaziemir Municipality (November 15, 2021-March 15, 2022). Dokuz Eylul University Ethics Committee accepted the study on 22.12.2021, with the decision number 2021/38-08. People with a body mass index ≥ 30 kg/m2 and who met the inclusion/exclusion criteria were included in the study. In addition to the Laval Questionnaire, the SF-12 general health quality of life questionnaire and the Obese Specific Quality of Life Scale were used. For the adaptation of the Turkish version of the questionnaire, language validity was first ensured by the back translation method. The mean age of the 235 volunteer participants was 49.11 ± 13.1 years. The Kaiser-Meyer-Olkin coefficient for exploratory factor analysis was calculated as 0.92. RMSEA was 0.61 (RMESA<0.80). Cronbach's alpha value, which is an indicator of the internal consistency coefficient of the Laval Questionnaire in obese individuals, was calculated as 0.95. Obesity Specific Quality of Life and SF-12 Quality of Life Scale scores were found to have a statistically significant effect on the Laval Questionnaire score (p<0.05). The Laval Questionnaire is a valid and reliable questionnaire to measure the quality of life of individuals with obesity in the Turkish population.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".