Aim: This study aimed to determine cross-sectional relationships between diabetes distress and health-related variables, and prospective associations between diabetes distress and future glycaemic control (HbA ) and health status among young adults with early-onset Type 1 diabetes.

Methods: Data were collected from a nationwide cohort study of adults whose Type 1 diabetes onset occurred from 0 to 4 years of age during 1993-2002. Questionnaire surveys were conducted in 2012-2013 and 2015-2016 (N = 584). Diabetes distress was assessed via the Problem Areas in Diabetes (PAID) scale (0-100 points), depressive symptoms via the Patient Health Questionnaire-9 (PHQ-9) and health status via the 12-Item Short Form Health Survey (SF-12) questionnaire. Multivariable linear regression analyses were applied to cross-sectional and longitudinal data.

Results: In the cross-sectional analyses, higher PAID scale total scores (representing higher distress levels) were observed in women than in men and in participants with more severe depressive symptoms. PAID scores were lower in individuals with better physical and mental health. A 1 mmol/mol increase in HbA was associated with a 0.28-point increase [95% confidence interval (95% CI) 0.20, 0.36] in diabetes distress. In longitudinal analyses adjusting for age, sex, socio-economic index and HbA at baseline, a 10-point higher PAID score at baseline was associated with a 1.82 mmol/mol higher HbA level (95% CI 0.43, 3.20) and a 2.48-point lower SF-12 mental health score (95% CI -3.55, -1.42) three years later.

Conclusions: The cross-sectional and longitudinal analyses results suggest that diabetes distress impairs health-related outcomes in young adults with early-onset diabetes.

Download full-text PDF

Source
http://dx.doi.org/10.1111/dme.13931DOI Listing

Publication Analysis

Top Keywords

diabetes distress
24
young adults
12
adults early-onset
12
health status
12
diabetes
10
early-onset type
8
type diabetes
8
hba health
8
paid scale
8
depressive symptoms
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!