A new perspective on diabetes distress using the type 2 diabetes distress assessment system (T2-DDAS): Prevalence and change over time

J Diabetes Complications. 2022 Aug;36(8):108256. doi: 10.1016/j.jdiacomp.2022.108256. Epub 2022 Jul 5.

Abstract

Aims: To establish cut-points and thresholds for elevated diabetes distress; document change over time; and define minimal clinically important differences (MCID) using the new Type 2 Diabetes Distress Assessment System (T2-DDAS).

Methods: A national sample of adults with type 2 diabetes completed the T2-DDAS CORE distress scale and the 7 T2-DDAS SOURCE distress scales at baseline and 6-months. Scores were computed separately for insulin- and non-insulin users. Spline regression models defined CORE cut-points and SEM formulas defined MCID. A rational "threshold" approach defined elevated SOURCE scores.

Results: 471 participants (205 insulin, 266 non-insulin) completed both assessments. Analyses yielded ≥2.0 as the cut-point for both elevated CORE and elevated SOURCE. Prevalence of elevated CORE was 61.8 % (69.9 % over 6 months). Elevated SOURCE scores varied from 30.6 % (Stigma/Shame) to 76.4 % (Management); 87.5 % indicated at least 1 elevated SOURCE score. Most (77.1 %) reported multiple elevated SOURCES. 81.8 % with elevated CORE distress at baseline remained elevated at 6 months. MCID analyses yielded +/- 0.25 as significant change. Few differences between insulin- and non-insulin users occurred.

Conclusions: Elevated CORE distress is highly prevalent and persistent over time; most participants reported multiple SOURCES of distress. Findings highlight the need for comprehensive assessment of diabetes distress.

Keywords: Change over time; Diabetes; Diabetes distress; Prevalence.

MeSH terms

  • Adult
  • Diabetes Mellitus, Type 1* / epidemiology
  • Diabetes Mellitus, Type 2* / complications
  • Diabetes Mellitus, Type 2* / epidemiology
  • Humans
  • Insulin / therapeutic use
  • Insulin, Regular, Human
  • Prevalence

Substances

  • Insulin
  • Insulin, Regular, Human