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

Abstract

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.

Health-Related Quality of Life in Pediatric Patients with Syndromic Autism and their Caregivers

“…Therefore, we compiled PedsQL scores from published datasets in which similar age of inclusion criteria was implemented. Raw PedsQL score data from healthy controls, type 1 (T1D) and type 2 diabetes (T2D) (Varni et al, 2019 ), intellectual disability (ID) (Kilincaslan et al, 2019 ), and idiopathic autism (Stokes et al, 2017 ) were utilized as comparative assessment metric. For ease of interpretability, our PMD, RTT, and SYNGAP1- ID data were aggregated to create a new syndromic ASD cohort.…”

Health-related quality of life in individuals with syndromic autism spectrum disorders

“…PedsQL 4.0 scores were compiled from published datasets in which similar age of inclusion criteria was implemented. Raw PedsQL 4.0 score data from healthy controls, type 1 (T1D) and type 2 diabetes (T2D)[18], intellectual disability (ID)[19], and idiopathic autism[12] were utilized as comparative assessment metric. For ease of interpretability, our PMD, RTT, and SYNGAP1- ID data were aggregated to create a new syndromic ASD cohort.…”

Evaluating the Quality of Life of 231 Children With Primary Nephrotic Syndrome and Assessing Parental Awareness of the Disease

“…In a previous study, the PedQL TM 4.0-GCS was used to evaluate the quality of life of children with diabetes mellitus, and the total score was found to be lower than that of healthy children (2). Similarly, the scales have been widely utilized in the evaluation of other pediatric diseases, such as diabetes (9), cancer (10), and systemic lupus erythematosus (SLE) (11), and the results suggest that the quality of life of children with chronic diseases is generally low (12).…”

“…PNS is a prolonged and recurrent condition requiring longterm therapy with steroids and other immunosuppressive agents, and children are primarily cared for at home, rather than in the hospital. Previous studies have shown that chronic diseases in children have a significant negative impact on growth, involvement in social activities, psychological wellbeing, and other aspects related to quality of life (1)(2)(3). PNS is a disease with a long duration and frequent recurrences, with a diverse range of causes that vary from person to person.…”