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1.
Diabet Med ; 36(4): 465-472, 2019 04.
Article in English | MEDLINE | ID: mdl-30343524

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.


Subject(s)
Diabetes Mellitus, Type 2/epidemiology , Health Status , Psychometrics/methods , Quality of Life , Surveys and Questionnaires , Adolescent , Adult , Age Factors , Age of Onset , Child , Diabetes Mellitus, Type 1/diagnosis , Diabetes Mellitus, Type 1/psychology , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/psychology , Feasibility Studies , Female , Humans , Male , Patient Reported Outcome Measures , Reproducibility of Results , Surveys and Questionnaires/standards , Young Adult
2.
Diabet Med ; 35(4): 504-512, 2018 04.
Article in English | MEDLINE | ID: mdl-29377258

ABSTRACT

AIM: To describe factors associated with transfer from paediatric to adult care and poor glycaemic control among young adults with Type 2 diabetes, using the SEARCH for Diabetes in Youth study. METHODS: Young adults with Type 2 diabetes were included if they had a baseline SEARCH visit while in paediatric care at < 18 years and ≥ 1 follow-up SEARCH visit thereafter at 18-25 years. At each visit, HbA1c , BMI, self-reported demographic and healthcare provider data were collected. Associations of demographic factors with transfer of care and poor glycaemic control (HbA1c ≥ 75 mmol/mol; 9.0%) were explored with multivariable logistic regression. RESULTS: 182 young adults with Type 2 diabetes (36% male, 75% minority, 87% with obesity) were included. Most (n = 102, 56%) reported transfer to adult care at follow-up; a substantial proportion (n = 28, 15%) reported no care and 29% did not transfer. Duration of diabetes [odds ratio (OR) 1.4, 95% confidence interval (95% CI) 1.1, 1.8] and age at diagnosis (OR 1.8, 95% CI 1.4, 2.4) predicted leaving paediatric care. Transfer to adult or no care was associated with a higher likelihood of poor glycaemic control at follow-up (adult: OR 4.5, 95% CI 1.8, 11.2; none: OR 4.6, 95% CI 1.4, 14.6), independent of sex, age, race/ethnicity or baseline HbA1c level. CONCLUSIONS: Young adults with Type 2 diabetes exhibit worsening glycaemic control and loss to follow-up during the transfer from paediatric to adult care. Our study highlights the need for development of tailored clinical programmes and healthcare system policies to support the growing population of young adults with youth-onset Type 2 diabetes.


Subject(s)
Diabetes Mellitus, Type 2/therapy , Transition to Adult Care/statistics & numerical data , Adolescent , Adult , Age Distribution , Age of Onset , Analysis of Variance , Blood Glucose/metabolism , Diabetes Mellitus, Type 2/blood , Female , Glycated Hemoglobin/metabolism , Humans , Insurance Coverage/statistics & numerical data , Insurance, Health/statistics & numerical data , Male , Treatment Outcome , Young Adult
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