» Articles » PMID: 34652236

Observed Characteristics Associated with Diabetes Device Use Among Teens with Type 1 Diabetes

Overview
Specialty Endocrinology
Date 2021 Oct 15
PMID 34652236
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Despite advancements in diabetes technologies, disparities remain with respect to diabetes device use in youth with type 1 diabetes (T1D). We compared sociodemographic, diabetes, and psychosocial characteristics associated with device (pump and continuous glucose monitor [CGM]) use in 13- to 17-year-old teens with T1D.

Materials/methods: Data were derived from a multicenter clinical trial to optimize self-care and glycemic control in teens with T1D. We categorized teens as pump users versus non-users and CGM users versus non-users based on their diabetes device usage. Chi-square and -tests compared characteristics according to device use.

Results: The sample comprised 301 teens (50% female) with baseline mean ± SD age 15.0 ± 1.3 years, T1D duration 6.5 ± 3.7 years, and HbA1c 8.5 ± 1.1% (69 ± 12 mmol/mol). Two-thirds (65%) were pump users, and 27% were CGM users. Pump users and CGM users (vs. non-users) were more likely to have a family annual household income ≥$150,000, private health insurance, and a parent with a college education (all < .001). Pump users and CGM users (vs. non-users) also performed more frequent daily blood glucose (BG) checks (both < .001) and reported more diabetes self-care behaviors (both < .05). Pump users were less likely to have baseline HbA1c ≥9% (75 mmol/mol) ( = .005) and to report fewer depressive symptoms ( = .02) than pump non-users. Parents of both CGM and pump users reported a higher quality of life in their youth ( < .05).

Conclusion: There were many sociodemographic, diabetes-specific, and psychosocial factors associated with device use. Modifiable factors can serve as the target for clinical interventions; youth with non-modifiable factors can receive extra support to overcome potential barriers to device use.

Citing Articles

International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Glycemic Targets.

de Bock M, Agwu J, Deabreu M, Dovc K, Maahs D, Marcovecchio M Horm Res Paediatr. 2024; 97(6):546-554.

PMID: 39701064 PMC: 11854972. DOI: 10.1159/000543266.


International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Diabetes Technologies - Insulin Delivery.

Biester T, Berget C, Boughton C, Cudizio L, Ekhlaspour L, Hilliard M Horm Res Paediatr. 2024; 97(6):636-662.

PMID: 39657603 PMC: 11854989. DOI: 10.1159/000543034.


Demographic, Clinical, Psychosocial, and Behavioral Predictors of Continuous Glucose Monitor Use in Adults with Type 2 Diabetes.

Morrow E, Spieker A, Greevy R, Roddy M, Mayberry L J Gen Intern Med. 2024; .

PMID: 39455481 DOI: 10.1007/s11606-024-09101-1.


Text messaging to enhance glucose monitoring and self-care in teens with type 1 diabetes: Teens' perceptions predict outcomes.

Chen C, Serata E, Scheub R, Dassau T, Wasserman R, Anderson B Diabetes Res Clin Pract. 2024; 212():111719.

PMID: 38789009 PMC: 11736807. DOI: 10.1016/j.diabres.2024.111719.


The impact of socioeconomic factors, social determinants, and ethnicity on the utilization of glucose sensor technology among persons with diabetes mellitus: a narrative review.

Been R, Lameijer A, Gans R, van Beek A, Kingsnorth A, Choudhary P Ther Adv Endocrinol Metab. 2024; 15:20420188241236289.

PMID: 38476216 PMC: 10929059. DOI: 10.1177/20420188241236289.


References
1.
McGill D, Volkening L, Butler D, Wasserman R, Anderson B, Laffel L . Text-message responsiveness to blood glucose monitoring reminders is associated with HbA benefit in teenagers with Type 1 diabetes. Diabet Med. 2019; 36(5):600-605. PMC: 6462241. DOI: 10.1111/dme.13929. View

2.
Commissariat P, Boyle C, Miller K, Mantravadi M, DeSalvo D, Tamborlane W . Insulin Pump Use in Young Children with Type 1 Diabetes: Sociodemographic Factors and Parent-Reported Barriers. Diabetes Technol Ther. 2017; 19(6):363-369. PMC: 6435342. DOI: 10.1089/dia.2016.0375. View

3.
Laffel L, Kanapka L, Beck R, Bergamo K, Clements M, Criego A . Effect of Continuous Glucose Monitoring on Glycemic Control in Adolescents and Young Adults With Type 1 Diabetes: A Randomized Clinical Trial. JAMA. 2020; 323(23):2388-2396. PMC: 7298603. DOI: 10.1001/jama.2020.6940. View

4.
Varni J, Burwinkle T, Jacobs J, Gottschalk M, Kaufman F, Jones K . The PedsQL in type 1 and type 2 diabetes: reliability and validity of the Pediatric Quality of Life Inventory Generic Core Scales and type 1 Diabetes Module. Diabetes Care. 2003; 26(3):631-7. DOI: 10.2337/diacare.26.3.631. View

5.
Beck R, Buckingham B, Miller K, Wolpert H, Xing D, Block J . Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes. Diabetes Care. 2009; 32(11):1947-53. PMC: 2768196. DOI: 10.2337/dc09-0889. View