Metabolic Control in Adolescent Girls
Bibliographic record
Abstract
OBJECTIVE: This study investigated whether intimacy and autonomy in mother-daughter interactions and relational aspects of the self are associated with metabolic control in adolescent girls with type 1 diabetes. RESEARCH DESIGN AND METHODS: This cross-sectional study included 88 girls with diabetes (mean age 14.9 +/- 2.2 years, diabetes duration 7.1 +/- 3.9 years, and HbA1c 8.9 +/- 1.6%) from the Diabetes Clinic at the Hospital for Sick Children in Toronto and their mothers. Teens completed a self-report measure assessing self-concept in eight domain-specific areas. Mothers and daughters engaged in a 7-min, videotaped, problem-solving task involving a diabetes-related conflict issue. Interactions were rated using a macroanalytic rating system to assess intimacy and autonomy in parent-teen relationships. Metabolic control was measured using HbA1c. RESULTS: Self-concept in domains of perceived behavioral conduct (P=0.003), social acceptance (P=0.03), romantic appeal (P=0.03), and close friendships (P=0.04) independently predicted HbA1c levels, together accounting for 30% of the variance. Also, the experience of emotional closeness (i.e., intimacy) rather than separateness (i.e., autonomy) in mother-daughter relationships was associated with lower HbA1c (P=0.03). CONCLUSIONS: Relational aspects of the self and the experience of emotional closeness in relationships are associated with metabolic control in adolescent girls. Efforts to improve metabolic control in girls should include enhancing the self-concept and the experience of relatedness in familial, peer, and patient-caregiver relationships.
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 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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".