Dataset Information

Sleep and depressive symptoms in adolescents with type 1 diabetes not meeting glycemic targets.

ABSTRACT:

Aims

Adolescents with type 1 diabetes (T1D) are at risk for problems with self-management and suboptimal glycemic control, and depressive symptoms and sleep disturbances predict poorer diabetes outcomes. Despite evidence for associations between adolescent depressive symptoms and sleep in the general population, few studies have investigated this link in the vulnerable group of adolescents with T1D not meeting glycemic targets. The current study sought to assess both depressive symptoms and sleep in relation to diabetes indicators in adolescents with T1D.

Methods

120 adolescents (ages 13-17 years) with above target glycemic control completed measures of depressive symptoms, sleep duration and quality, and self-management; parents also reported on adolescents' diabetes management. Clinical data (i.e., HbA1c) were extracted from medical records.

Results

In our sample, 40% of adolescents reported at least mild depressive symptoms, and 26% reported clinically significant sleep disturbances. Adolescents with sleep disturbances were more likely to report at least mild symptoms of depression, and both depressive symptoms and sleep quality were associated with poorer diabetes management. No significant differences emerged regarding HbA1c or frequency of blood glucose monitoring.

Conclusions

The current findings highlight the importance of clinical assessment of both depressive symptoms and sleep in the vulnerable group of adolescents with T1D.

SUBMITTER: Hamburger ER

PROVIDER: S-EPMC7736492 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectiveShared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.MethodsWe estimated single-nucleotide polymorphism (SNP)-based heritability and analyzed genetic correlation between depressive symptoms and T2D and glycemic traits with the linkage disequilibrium score regression by combining summary statistics of previously conducted meta-analyses for depressive symptoms by CHARGE consortium (N = 51,258), T2D by DIAGRAM consortium (N = 34,840 patients and 114,981 controls), fasting glucose, fasting insulin, and homeostatic model assessment of β-cell function and insulin resistance by MAGIC consortium (N = 58,074). Finally, we investigated pleiotropic loci using a bivariate genome-wide association study approach with summary statistics from genome-wide association study meta-analyses and reported loci with genome-wide significant bivariate association p value (p < 5 × 10). Biological annotation and function of significant pleiotropic SNPs were assessed in several databases.ResultsThe SNP-based heritability ranged from 0.04 to 0.10 in each individual trait. In the linkage disequilibrium score regression analyses, depressive symptoms showed no significant genetic correlation with T2D or glycemic traits (p > 0.37). However, we identified pleiotropic genetic variations for depressive symptoms and T2D (in the IGF2BP2, CDKAL1, CDKN2B-AS, and PLEKHA1 genes), and fasting glucose (in the MADD, CDKN2B-AS, PEX16, and MTNR1B genes).ConclusionsWe found no significant overall genetic correlations between depressive symptoms, T2D, or glycemic traits suggesting major differences in underlying biology of these traits. However, several potential pleiotropic loci were identified between depressive symptoms, T2D, and fasting glucose, suggesting that previously established phenotypic associations may be partly explained by genetic variation in these specific loci.