4.5 Article

Do Baseline Resilience Profiles Moderate the Effects of a Resilience-Enhancing Intervention for Adolescents With Type I Diabetes?

Journal

HEALTH PSYCHOLOGY
Volume 40, Issue 5, Pages 337-346

Publisher

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/hea0001076.supp

Keywords

Type 1 diabetes; adolescents; resilience; latent profile analysis; intervention

Funding

  1. National Institutes of Health [R01 DK 090030]
  2. Victor J. Heckler Fellowship Award at Loyola University Chicago
  3. Pritzker Foundation

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The study identified two subgroups of adolescents with Type I diabetes based on resilience processes, one with high resilience and one with low resilience, with the latter exhibiting more distress, higher HbA1c levels, less glucose monitoring, and fewer diabetes management behaviors at baseline. These differences persisted over a 3-year period. Subgroup membership did not moderate the efficacy of a resilience-promoting program compared to the control group.
Objective: Resilience processes include modifiable individual and family-based skills and behaviors and are associated with better health and emotional outcomes for youth with Type I diabetes (T1D). There is likely heterogeneity among adolescents with T1D based on differing profiles of resilience processes. At-risk adolescents with lower levels of modifiable skills and assets may benefit more from psychosocial skill-building interventions, compared to adolescents who already have strong resilience processes. This article identified whether there are subgroups of adolescents with T1D based on resilience process profiles and assessed differences in glycemic control, diabetes management behaviors, and distress at baseline. It also evaluated subgroups as moderators of the efficacy of a psychosocial skill-building program. Method: Two hundred sixty-four adolescents with T1D (14 to 18 years) were randomly assigned to a resilience-promoting program (N = 133) or diabetes education control (N = 131). Data were collected at seven time points over 3 years and analyzed with latent profile analysis and latent growth curve modeling. Results: There were two subgroups with high- versus low-resilience processes. The low-resilience subgroup exhibited more distress. higher HbA1c, less glucose monitoring, and fewer diabetes management behaviors at baseline. Differences persisted over 3 years. Subgroup membership did not moderate the efficacy of a resilience-promoting program compared to control. The resilience program resulted in lower distress regardless of subgroup. Conclusions: There is heterogeneity in resilience process profiles. which are associated with clinically meaningful differences in distress, diabetes management, and glycemic control. Findings can be used to identify at-risk teenagers and inform a targeted approach to care.

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