Psychometric Testing of the CHAMPS Questionnaire in French Canadians with COPD
Bibliographic record
Abstract
Physical activity is an important health behaviour in reducing morbidity and mortality in individuals with chronic obstructive pulmonary disease (COPD). Accurate measurement of the characteristics of physical activity is essential to understanding the impact of COPD on physical activity. In a previous article, we reported on the cross-cultural adaptation of the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to produce a Canadian French version. The CHAMPS yields four summary scores: two caloric expenditure scores (moderate-intensity activities and all activities) and two frequency scores (moderate-intensity activities and all activities). The objective of this study was to evaluate test-retest reliability and convergent construct validity, in both English and French versions of the CHAMPS, in individuals with COPD. Test-retest reliability was assessed by administering the CHAMPS at two visits (2-3 weeks apart), to 19 English-speaking and 18 French-speaking participants. Validity was assessed in 56 English-speaking and 74 French-speaking participants, who completed the CHAMPS, Short Form- (SF-) 36, and St. George’s Respiratory Questionnaire (SGRQ) at a single visit. Results from reliability testing indicated that intraclass correlation coefficients (ICCs) generally met the threshold for good reliability (ICC > 0.6), with frequency scores showing greater stability than caloric expenditure scores. Validity testing yielded moderate correlations (r = 0.4-0.5) of the CHAMPS with the SF-36 domains and summary score capturing constructs of physical function, and with the SGRQ activity domain and total score. CHAMPS frequency scores for moderate-intensity activities correlated more strongly than other scores, with physical aspects of the SF-36 and SGRQ. The English and French versions of the CHAMPS did not show any substantial differences in reliability (frequency scores) or validity (frequency and caloric expenditure scores). Findings from this study support the reliability and validity of the CHAMPS. In particular, frequency scores for moderate-intensity activities can provide useful information on physical activity levels in individuals with COPD. This trial is registered with NCT00169897 . ISRCTN registration number: IRSCTN32824512.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".