Impact of 6 months’ Use of Intermittently Scanned Continuous Glucose Monitoring on Habitual Sleep Patterns and Sleep Quality in Adolescents and Young Adults with Type 1 Diabetes and High-Risk HbA1c

Author:

Rose Shelley12ORCID,Galland Barbara C.1ORCID,Styles Sara E.3ORCID,Wiltshire Esko J.24ORCID,Stanley James5ORCID,de Bock Martin I.67ORCID,Tomlinson Paul A.8,Rayns Jenny A.9,Wheeler Benjamin J.110ORCID

Affiliation:

1. Department of Women’s and Children’s Health, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand

2. Department of Pediatrics and Child Health, University of Otago Wellington, Wellington, New Zealand

3. Department of Human Nutrition, University of Otago, Dunedin, New Zealand

4. Pediatric Department, Te Whatu Ora Capital, Coast and Hutt Valley, Wellington, New Zealand

5. Biostatistical Group, Dean’s Department, University of Otago Wellington, Wellington, New Zealand

6. Department of Pediatrics, University of Otago, Christchurch, New Zealand

7. Pediatric Department, Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand

8. Pediatric Department, Te Whatu Ora Southern, Invercargill, New Zealand

9. Endocrinology Department, Te Whatu Ora Southern, Dunedin, New Zealand

10. Pediatric Department, Te Whatu Ora Southern, Dunedin, New Zealand

Abstract

Background. The bidirectional relationship between sleep and blood glucose levels may particularly affect adolescents and young adults (AYA), who are more likely to experience less healthy glycemic outcomes and more disrupted sleep patterns. To date, few data exist describing the impact of intermittently scanned continuous glucose monitoring (isCGM) on habitual sleep patterns and sleep quality in AYA with type 1 diabetes (T1D). Objective. To evaluate the impact of 6-month use of isCGM on habitual sleep and wake timing, sleep duration, frequency, and duration of night-time awakenings, sleep efficiency, and perceived sleep quality in young people with T1D and HbA1c ≥ 75 mmol/mol. Participants. The study recruited 64 participants aged 13–20 years (mean 16.6 ± 2.1), 48% female, diabetes duration 7.5 ± 3.8 years, 41% Māori or Pasifika, and a mean HbA1c 96.0 ± 18.0 mmol/mol [10.9 ± 3.8%]; 33 were allocated to an isCGM plus self-monitoring blood glucose [SMBG] intervention, and 31 were allocated to the SMBG control group. Methods. Participants completed 7-day actigraphy measures and the Pittsburgh Sleep Quality Index questionnaire at the baseline and at 6 months. Regression analyses were used to model between-group comparisons, adjusted for baseline sleep measures. Results. At 6 months, subjective measures for overall sleep quality, latency, duration, efficiency, night-time disturbances, use of sleep medications, and daytime dysfunction were similar between the groups. Regression analyses of actigraphy found no significant differences in objectively measured sleep timing and duration across the week after adjusting for age, the period of the school year, and baseline sleep values. Conclusions. The use of first-generation isCGM in addition to finger-prick testing did not impact objective or subjective sleep measures in AYA with T1D, elevated HbA1c, and highly variable sleep patterns. Research using alternative interventions for improving glycemic outcomes and habitual sleep-wake timing, duration, and perceived sleep quality is warranted in this population group.

Funder

Cure Kids Grant

Publisher

Hindawi Limited

Subject

Endocrinology, Diabetes and Metabolism,Pediatrics, Perinatology and Child Health,Internal Medicine

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