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Hilliard ME, Mann KA, Peugh JL, et al. How poorer quality of life in adolescence predicts subsequent type 1 diabetes management and control. Patient Educ Couns. 2012;91(1):120-5doi: 10.1016/j.pec.2012.10.014.
Hilliard, M. E., Mann, K. A., Peugh, J. L., & Hood, K. K. (2013). How poorer quality of life in adolescence predicts subsequent type 1 diabetes management and control. Patient education and counseling, 91(1), 120-5. https://doi.org/10.1016/j.pec.2012.10.014
Hilliard, Marisa E, et al. "How poorer quality of life in adolescence predicts subsequent type 1 diabetes management and control." Patient education and counseling vol. 91,1 (2013): 120-5. doi: https://doi.org/10.1016/j.pec.2012.10.014
Hilliard ME, Mann KA, Peugh JL, Hood KK. How poorer quality of life in adolescence predicts subsequent type 1 diabetes management and control. Patient Educ Couns. 2013 Apr;91(1):120-5. doi: 10.1016/j.pec.2012.10.014. Epub 2012 Nov 22. PMID: 23182614; PMCID: PMC4467557.
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Patient Educ Couns. 2013 Apr;91(1):120-5. doi: 10.1016/j.pec.2012.10.014. Epub 2012 Nov 22.

How poorer quality of life in adolescence predicts subsequent type 1 diabetes management and control.

Patient education and counseling

Marisa E Hilliard, Krista A Mann, James L Peugh, Korey K Hood

Affiliations

  1. Johns Hopkins Adherence Research Center, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

PMID: 23182614 PMCID: PMC4467557 DOI: 10.1016/j.pec.2012.10.014

Abstract

OBJECTIVE: Detriments in quality of life (QOL) may contribute to the common, costly decline in adolescents' type 1 diabetes management and control, yet we know little about how this might happen.

METHODS: Participants were 150 adolescents (age 13-18) with type 1 diabetes and their parents. We constructed a latent QOL variable from a multi-informant, multi-domain assessment when participants entered the study. The QOL variable was examined in relation to prospective assessments of diabetes management (blood glucose monitoring frequency; BGM) and control (hemoglobin A1c). We used an indirect path model to test the links among these variables, using bias-corrected bootstrapping.

RESULTS: Poorer QOL at baseline was indirectly linked with higher A1c at 12 months via less frequent BGM obtained at 6 months (b = -0.01, 95% CI = -0.025, -0.004, p < 0.05). Older age (b = -0.32), longer diabetes duration (b = -0.07), and insulin delivery via injections versus the insulin pump (b = 0.67) were covariates of less frequent BGM, and unmarried caregiver status was associated with higher A1c (b = -0.76), all ps < 0.05.

CONCLUSIONS: In this study, poorer QOL acted as a barrier to effective diabetes management, subsequently altering diabetes control.

PRACTICE IMPLICATIONS: Efforts to monitor and enhance QOL may hold promise for improving adolescents' diabetes outcomes in the future.

Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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