Self-concept, attitude toward illness and family functioning in adolescents with type 1 diabetes
Bibliographic record
Abstract
OBJECTIVES: The primary objective of the present study was to assess self-concept in adolescents with type 1 diabetes, and to determine whether this is associated with attitudes toward having chronic disease, family functioning or severity of diabetes. The secondary objective was to assess the impact of family income, sex, age and age at diagnosis on adolescent self-concept. METHODS: A cross-sectional, self-report survey of 48 adolescents with type 1 diabetes (22 boys and 26 girls; mean +/- SD age at time of study 15.2+/-1.7 years [range 12.2 to 18.0 years]; mean age at diagnosis 9.2+/-3.3 years [range 1.3 to 14.9 years]) was performed using the Piers-Harris Children's Self-Concept (PHCSC) scale, second edition; the Child Attitude Toward Illness Scale; and the Family Assessment Measure scale, version III. Demographic information including net family income and a symptom inventory form to assess disease severity was collected. RESULTS: Adolescents' self-concept measured by the PHCSC scale was significantly positively correlated with a more positive attitude toward chronic illness as measured by the Child Attitude Toward Illness Scale. The PHCSC scale was found to have a significant negative correlation with the Family Assessment Measure scale score, indicating that a better self-concept was correlated with enhanced family functioning. Self-concept was not significantly correlated with disease severity, income of family, sex, age at diagnosis, age at time of study, episodes of diabetic ketoacidosis or episodes of hypoglycemia. CONCLUSIONS: Adolescents with better self-concept had more positive attitudes toward their chronic illness and enhanced family functioning. Although no correlation with diabetes disease severity was seen in the study population, interventions aimed at improving adolescent self-concept may have a positive impact on diabetes treatment by improving attitude toward living with type 1 diabetes.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".