Concurrent and Convergent Validity of the Simple Lifestyle Indicator Questionnaire
Bibliographic record
Abstract
Lifestyle issues including physical activity, diet, smoking, alcohol consumption, and self-reported stress have all been shown to predispose people to higher risk of cardiovascular disease. This study provides further psychometrics on the Simple Lifestyle Indicator Questionnaire (SLIQ), a short, easy-to-use instrument which measures all these lifestyle characteristics as a single construct. One hundred and ninety-three individuals from St. John's, Newfoundland, and Labrador, Canada completed the SLIQ and reference standards for diet, exercise, stress, and alcohol consumption. The reference standards were a detailed Diet History Questionnaire (DHQ), the Social Readjustment Rating Scale (SRRS), the SF36 Health Status Questionnaire, and a survey of eight questions from a cardiovascular risk questionnaire. Physical activity score was compared with number of steps on a pedometer. Correlations between scores on the SLIQ and the reference standards were the SLIQ versus DHQ (r = 0.679, P = 0.001), SLIQ versus pedometer (r = 0.455, P = 0.002), SLIQ versus alcohol consumption (r = 0.665, P = 0.001), SLIQ versus SRRS (r = -0.264, P = 0.001), SLIQ versus eight-question risk score (r = 0.475, P = 0.001), and SLIQ versus Question 1 on SF36 (r = 0.303, P = 0.001). The SLIQ is sufficiently valid when compared to reference standards to be useful as a brief assessment of an individual's cardiovascular lifestyle in research and clinical settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".