Eating disturbances in girls with diabetes: the contribution of adolescent self-concept, maternal weight and shape concerns and mother–daughter relationships
Bibliographic record
Abstract
BACKGROUND: This study examined the relative contribution of adolescent self-concept, maternal weight and shape concerns (WSC), and mother-daughter relationships to eating disturbances among girls with type 1 diabetes mellitus (DM). METHOD: Eighty-eight adolescent girls (mean = 15.0 years, S.D. = 2.2) and their mothers completed self-report measures of disordered eating and weight control behaviours, with teens also reporting on disturbed eating and body attitudes. Based on reported symptoms, adolescents were classified as highly (N = 18), mildly (N = 30) and non-eating disturbed (N = 40). Self-concept was assessed by adolescent self-report. Mother-daughter relationships were assessed by adolescent self-report and by observed mother-daughter interactions that were rated using a macroanalytic coding system that assesses intimacy and autonomy in these relationships. RESULTS: Hierarchical regressions illustrated that adolescent self-concept deficits, maternal WSC, and impaired mother-daughter relationships significantly predicted eating disturbances in girls with DM, accounting for 57% of the variance. Mothers who engaged in dieting and binge-eating were more impaired in their ability to support their daughters' emerging autonomy. The quality of mother-daughter relationships partly mediated the influence of maternal WSC on adolescent eating disturbances. Moreover, the impact of maternal WSC and mother-daughter relationships on eating disturbances was mediated by adolescent self-concept. CONCLUSIONS: Findings illustrate two pathways through which mother-daughter relationships may impact upon risk of eating disturbances in girls with DM and highlight the need to evaluate family-based interventions specifically tailored for this high-risk population.
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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 | 0.001 | 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".