Self-Concept in the Context of Diabetes Prevention: Development of the Lifestyle Health-Related Self-Concept Questionnaire
Bibliographic record
Abstract
PURPOSE: Understanding psychosocial factors in the context of lifestyle change is important to recognize distinctions in type 2 diabetes prevention behaviors. A relatively stable psychosocial feature, such as health-related self-concept (HRSC), may indicate factors that promote or repress positive health behaviors. The present study created a questionnaire specific to lifestyle change activities by modifying the Generalized Health-Related Self-Concept Questionnaire (G-HRSC). DESIGN: A modified lifestyle health-related self-concept (Lifestyle-HRSC) questionnaire was developed through creation of new items, context expert review of new items, and small and large sample test of new items. PARTICIPANTS: 101 college students completed the Lifestyle-HRSC. ANALYSIS: = 6350.7 [ df = 3081], P < .01) indicated the sample met criteria for factor analysis. Principle component factor analysis was performed using varimax rotation with Kaiser normalization. RESULTS: Six factors were revealed: nutrition, social support, avoiding diabetes, physical activity, problem solving, and challenges related to being healthy. Item analysis was conducted to remove correlated and conceptually redundant items and to create the 31-item final questionnaire. CONCLUSION: The Lifestyle-HRSC provides additional knowledge regarding the relationship between self-concept and health as well as insights into the role of psychosocial factors in the context of diabetes prevention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".