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. 2023 Sep:109:132-142.
doi: 10.1016/j.sleep.2023.06.018. Epub 2023 Jun 27.

Associations between sleep characteristics and glycemic variability in youth with type 1 diabetes

Necla İpar  1 , Perran Boran  2 , Hatice Ezgi Barış  3 , Mahmut Caner Us  4 , Burcu Aygün  5 , Belma Haliloğlu  6 , Tuğba Gökçe  7 , Ecem Can  8 , Elif Eviz  9 , Neslihan Gökmen İnan  10 , Gül Yeşiltepe Mutlu  11 , Abdullah Bereket  12 , Şükrü Hatun  13
Affiliations

Associations between sleep characteristics and glycemic variability in youth with type 1 diabetes

Necla İpar et al. Sleep Med. 2023 Sep.

Erratum in

Abstract

Objective: This study aimed to determine sleep characteristics and their associations with glycemic variability in youth with type 1 diabetes (T1D).

Material and methods: This cross-sectional study conducted at two pediatric diabetes centers in Istanbul, Turkey, included 84 children with T1D (mean age 10.5 years). Sleep characteristics and glycemic variability were determined by actigraphy, DSM-5 Level 2-Sleep Disturbance Scale Short Form and continuous glucose monitoring. Circadian preference was evaluated by the Children's Chronotype Questionnaire. Sleep disturbances were assessed by the. The sleep quality was determined by actigraphy-derived sleep measures.

Results: Eighty-eight percent of participants had insufficient age-appropriate total sleep time (TST) (<9 h for 6-13-year-olds and <8 h for 14-17-year-olds). Chronotype was classified as intermediate in 50%, evening in 45.2%, and morning in 4.8%. A higher chronotype score indicating a stronger eveningness preference was associated with more time spent in hypoglycemia (β = 0.433, p = 0.002). On nights when participants had lower sleep efficiency and longer sleep onset latency, they had significantly higher overnight glycemic variability (β = -0.343, p = 0.016, β = 0.129, p = 0.017, respectively). Prolonged nocturnal wake duration was significantly associated with more time spent in daytime hypoglycemia (β = 0.037, p = 0.046) and higher overnight glycemic variability (J index, β = 0.300, p = 0.015). The associations between TST and glycemic variability indices were not significant.

Conclusions: Sleep quality rather than TST was significantly associated with glycemic variability in children with T1D. Eveningness preference might contribute to an increased risk of hypoglycemia. Addressing sleep patterns and chronotypes can be crucial in management plans for youth with T1D.

Keywords: Actigraphy; Chronotype; Continuous glucose monitoring; Sleep; Type 1 diabetes; Youth.

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Conflict of interest statement

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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