An exploratory study of positive and incongruent communication in young children with type 1 diabetes and their mothers
Bibliographic record
Abstract
BACKGROUND: The incidence of type 1 diabetes is increasing in young children. However, they are overlooked in treatment adherence and intervention research despite evidence that parents often experience difficulty securing their treatment cooperation, especially with the diet. We investigated positive and incongruent (i.e. the co-occurrence of contradictory verbal and non-verbal messages) communication in the mother-child dyad and their association with child adjustment and dietary adherence outcomes. METHODS: Participants were 23 6- to 8-year-old children with type 1 diabetes and their mothers. We conducted dietary adherence interviews with mothers and performed nutritional analyses to assess children's consumption of extrinsic sugars (e.g. confectionary). Mothers completed a standardized assessment of child psychological adjustment. Mothers and children engaged in a videotaped problem-solving task related to the dietary regimen, with maternal and child utterances and non-verbal behaviours analysed for positive dyadic and incongruent communication. RESULTS: Positive dyadic communication correlated with lower levels of child incongruent communication, fewer behavioural problems and better overall adjustment. Higher levels of maternal and child incongruent communication correlated with more behavioural and emotional problems and poorer overall adjustment. Higher levels of maternal incongruent communication correlated with poorer dietary adherence. CONCLUSIONS: Results converged to form a conceptually and empirically coherent pattern in that behavioural indices of poorer communication in both mother and child consistently correlated with poorer child adjustment outcomes. This study shows that specific features of dyadic, child and maternal communication could be targeted in developmentally sensitive interventions to promote positive communication in the home management of type 1 diabetes care for young children.
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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".