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J Pediatr ; 201: 78-85.e4, 2018 10.
Article in English | MEDLINE | ID: mdl-29937081

ABSTRACT

OBJECTIVE: To identify distinct longitudinal patterns of body mass index (BMI) z score in type 1 diabetes from childhood to young adulthood and secondly to determine sex differences as well as associated clinical covariates. STUDY DESIGN: A total of 5665 patients with type 1 diabetes (51% male) with follow-up from 8 to 20 years of age from the multicenter diabetes prospective registry DPV were studied (baseline diabetes duration ≥1 years, BMI z score aggregated per year of life). Latent class growth modeling (SAS: PROC TRAJ) was applied to analyze BMI z score over time. RESULTS: Six distinct BMI z score trajectories were identified (group 1: 7% of patients, group 2: 22%, group 3: 20%, group 4: 16%, group 5: 25%, and group 6: 10%). Group 1, 2, 5, and 6 had an almost stable BMI z score, either in the low, near-normal, high stable, or chronic overweight range. Group 3 (60% girls) increased their BMI during puberty, whereas group 4 (65% boys) had a BMI decrease. Similar patterns were observed for girls only, whereas boys followed nearly stable trajectories without fluctuation over time. Between the near-normal and the other groups, significant differences (P < .05) in sex ratio, migration background, mental health, height z score, glycated hemoglobin A1c, diabetes treatment, dyslipidemia, hypertension, and smoking were observed. CONCLUSIONS: In youth with type 1 diabetes, a great heterogeneity of BMI z score trajectories exists that highlight the importance of personalized sex-specific intervention programs for subjects at risk for unfavorable BMI development.


Subject(s)
Body Mass Index , Diabetes Mellitus, Type 1/epidemiology , Adolescent , Attention Deficit Disorder with Hyperactivity/epidemiology , Body Height , Child , Dyslipidemias/epidemiology , Europe/epidemiology , Feeding and Eating Disorders/epidemiology , Female , Glycated Hemoglobin/analysis , Humans , Hypertension/epidemiology , Hypoglycemic Agents/therapeutic use , Insulin Detemir/therapeutic use , Male , Puberty , Registries , Sex Factors , Transients and Migrants/statistics & numerical data , Young Adult
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