ArticleBMJ open diabetes research & care2023
Responses to the Strengths and Difficulties Questionnaire predict HbA1c trajectories in children and adolescents with type 1 diabetes: a population-based study.
Article in BMJ open diabetes research & care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors at 2 institutions in 2 countries.
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Abstract
introductionWe aimed to determine whether caregiver responses to the Strengths and Difficulties Questionnaire (SDQ) are predictive of HbA1c trajectory membership in children and adolescents with type 1 diabetes, when adjusting for covariates. RESEARCH DESIGN AND
methodsFor a Danish 2009 national cohort of children and adolescents with type 1 diabetes, we analyzed yearly HbA1c follow-up data during 2010-2020 including sociodemographic data from Danish national registries. Using group-based trajectory modeling and multinomial logistic regression, we tested whether caregiver SDQ scores predicted HbA1c trajectory membership when adjusting for sex, age at diabetes diagnosis, diabetes duration, family structure, and caregiver education.
resultsIn total, 835 children and adolescents (52% females) with a mean (SD) age of 12.5 (3.3) years, and a mean diabetes duration of 5.2 (3.1) years, were included. Based on 7247 HbA1c observations, four HbA1c trajectories were identified: (1) 'on target, gradual decrease' (26%), (2) 'above target, mild increase then decrease' (41%), (3) 'above target, moderate increase then decrease' (24%), and (4) 'well above target, large increase then decrease' (9%). Higher SDQ total difficulties scores predicted trajectories 3 and 4 (p=0.0002 and p<0.0001, respectively). Regarding the SDQ subscale scores, emotional symptoms predicted trajectories 3 and 4, and conduct problems and hyperactivity/inattention predicted trajectories 2, 3, and 4. Single-parent family and low caregiver education level both predicted trajectories 3 and 4.
conclusionsCaregiver SDQ responses and sociodemographic information may help detect children and adolescents with type 1 diabetes, who need intensive multidisciplinary medical and psychological interventions.
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