Pediatric Quality of Life Inventory (PedsQL) 3.2 Diabetes Module for youth with Type 2 diabetes: reliability and validity.

AIM: To test the measurement properties of the revised and updated Pediatric Quality of Life Inventory (PedsQL) 3.2 Diabetes Module originally developed in Type 1 diabetes in youth with Type 2 diabetes. METHODS: The PedsQL 3.2 Diabetes Module and PedsQL Generic Core Scales were administered in a field test study to 100 young people aged 9-25 years with Type 2 diabetes. Factor analysis was conducted to determine the factor structure of the items. RESULTS: The 15-item Diabetes Symptoms Summary Score and 12-item Type 2-specific Diabetes Management Summary Score were empirically derived through factor analysis. The Diabetes Symptoms and Type 2-specific Diabetes Management Summary Scores showed acceptable to excellent reliability across the age groups tested (α = 0.85-0.94). The Diabetes Symptoms and Type 2-specific Diabetes Management Summary Scores evidenced construct validity through large effect size correlations with the Generic Core Scales Total Scale Score (r = 0.67 and 0.57, respectively). HbA1c was correlated with the Diabetes Symptoms and Type 2-specific Diabetes Management Summary Scores (r = -0.13 and -0.22). Minimal clinically important difference (MCID) scores were 5.91 and 7.39 for the Diabetes Symptoms and Type 2-specific Diabetes Management Summary Scores. CONCLUSIONS: The PedsQL 3.2 Diabetes Module Diabetes Symptoms Summary Score and Type 2-specific Diabetes Management Summary Score exhibited satisfactory measurement properties for use as youth self-reported diabetes symptoms and diabetes management outcomes for clinical research and clinical practice for young people with Type 2 diabetes.

Longitudinal quality of life improvement in underserved rural youth with obesity.

OBJECTIVE: ACT! (Actively Changing Together) is a family- and community-based intervention targeting youth with obesity. The objective of this study was to establish the longitudinal impact on Health-Related Quality of Life (HRQoL) as well as the relationship with anthropometric and demographic factors. METHODS: Youth (n = 75) aged 8-14 years meeting criteria for overweight or obesity were referred to the programme. Twelve, 90-min classes in English and Spanish were held at the YMCA. Demographics and anthropometrics were assessed, as well as HRQoL that was measured with the child-reported Pediatric Quality of Life Inventory (PedsQL™) 4.0 Generic Core Scale. Data was collected at three follow-up points after completion of the intervention: initial follow-up (n = 65), 6 (n = 41) and 12 months (n = 25). Analysis included paired dependent t-tests between baseline and follow-up, and Pearson's correlations on HRQoL, anthropometric and demographic data. RESULTS: PedsQL scores significantly improved from baseline to all follow-up timepoints (initial follow-up immediately following the intervention, and 6 and 12 months post intervention). Over time, body mass index Z-Score and per cent body fat displayed various points of significance and strengthening correlations. CONCLUSIONS: Longitudinal improvements in HRQoL were sustained up to 12 months following a family- and community-based intervention in this underserved population. Anthropometric measures continuously correlated with and contributed to HRQoL outcomes.