Marissa N. Baudino PhD , Samantha A. Carreon PhD , Randi Streisand PhD , Tricia Tang PhD , Sarah Lyons MD , Siripoom McKay MD , Barbara J. Anderson PhD , Charles G. Minard PhD , Sridevi Devaraj PhD, DABCC , Ashley M. Butler PhD , Marisa E. Hilliard PhD
{"title":"Quality of life in young adults with type 1 diabetes","authors":"Marissa N. Baudino PhD , Samantha A. Carreon PhD , Randi Streisand PhD , Tricia Tang PhD , Sarah Lyons MD , Siripoom McKay MD , Barbara J. Anderson PhD , Charles G. Minard PhD , Sridevi Devaraj PhD, DABCC , Ashley M. Butler PhD , Marisa E. Hilliard PhD","doi":"10.1016/j.hctj.2025.100101","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Challenges of young adulthood with type 1 diabetes (T1D) include transitioning to adult care, increased T1D self-management responsibilities, and normal developmental transitions. Recognizing patterns of health-related quality of life (HRQOL) across a demographically and clinically broad range of young adults with T1D may help identify who needs additional support as they transfer to adult healthcare. We hypothesized that young adults from specific demographic and clinical groups would report lower HRQOL.</div></div><div><h3>Methods</h3><div>At baseline of a behavioral RCT (≤2 months after last pediatric T1D clinic visit), 100 young adults (M<sub>age</sub>=19.9 ± 1.3, M<sub>A1c</sub>=8.8 ± 2.0 %) self-reported demographics and HRQOL; A1c was analyzed via point of care or dried blood spot. ANOVAs and t-tests were used to compare HRQOL by demographic (gender, race/ethnicity, insurance, school enrollment) and clinical variables (device use, A1c).</div></div><div><h3>Results</h3><div>Diabetes-specific HRQOL differed significantly by gender and school enrollment; females and young adults enrolled in school reported higher HRQOL. There were no significant differences in HRQOL across race/ethnicity, insurance type, and diabetes technology use.</div></div><div><h3>Conclusion</h3><div>Monitoring HRQOL may be helpful to identify diabetes-specific psychosocial needs during the transition from pediatric to adult healthcare. Patterns suggest males and those not in school may benefit from additional support.</div></div>","PeriodicalId":100602,"journal":{"name":"Health Care Transitions","volume":"3 ","pages":"Article 100101"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Care Transitions","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949923225000078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
Challenges of young adulthood with type 1 diabetes (T1D) include transitioning to adult care, increased T1D self-management responsibilities, and normal developmental transitions. Recognizing patterns of health-related quality of life (HRQOL) across a demographically and clinically broad range of young adults with T1D may help identify who needs additional support as they transfer to adult healthcare. We hypothesized that young adults from specific demographic and clinical groups would report lower HRQOL.
Methods
At baseline of a behavioral RCT (≤2 months after last pediatric T1D clinic visit), 100 young adults (Mage=19.9 ± 1.3, MA1c=8.8 ± 2.0 %) self-reported demographics and HRQOL; A1c was analyzed via point of care or dried blood spot. ANOVAs and t-tests were used to compare HRQOL by demographic (gender, race/ethnicity, insurance, school enrollment) and clinical variables (device use, A1c).
Results
Diabetes-specific HRQOL differed significantly by gender and school enrollment; females and young adults enrolled in school reported higher HRQOL. There were no significant differences in HRQOL across race/ethnicity, insurance type, and diabetes technology use.
Conclusion
Monitoring HRQOL may be helpful to identify diabetes-specific psychosocial needs during the transition from pediatric to adult healthcare. Patterns suggest males and those not in school may benefit from additional support.