Health-Related Quality of Life Assessment in Older Patients with Type 1 and Type 2 Diabetes

Author:

Volčanšek Špela12,Lunder Mojca12,Janež Andrej12ORCID

Affiliation:

1. Clinical Department of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Zaloška 7, 1000 Ljubljana, Slovenia

2. Medical Faculty, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia

Abstract

Type 1 (T1D) and type 2 diabetes (T2D) are determinants of health-related outcomes including health-related quality of life (HRQOL). We aimed to determine differences in HRQOL between older adults with T1D and T2D and specific factors influencing HRQOL in this age group. This study used a cross-sectional design with 56 age- and HbA1c-matched T1D and T2D patients (aged 68.9 ± 7.8 years; 55% had T2D). We employed several validated questionnaires (Short Form-36 (SF-36) and the EuroQol-5 Dimensions/Visual Analog Scale (VAS)) to investigate the relationships between HRQOL domains and diabetes type, glycemic control, complications, and comorbidities. T1D was associated with better self-reported general health (assessed with the SF-36 general health domain (p = 0.048) and the EuroQol-5 VAS (p = 0.002), whereas no significant differences in the other SF-36 domains, self-reported diabetes distress, anxiety, or depression were found. Most HRQOL domains were not associated with HbA1c or the presence of diabetes complications. The most significant reduction in HRQOL was experienced by patients with higher BMIs, irrespective of the diabetes type. The obtained HRQOL data could be used in clinical settings for evidence-based patient education focused on specific subgroups of patients, as well as in national healthcare policies, e.g., interventions designed to alleviate obesity.

Funder

the University Medical Centre Ljubljana research fund

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference89 articles.

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3. Assessing Quality of Life in Diabetes: II—Deconstructing Measures into a Simple Framework;Tang;Diabetes Res. Clin. Pract.,2017

4. Corrao, S., Natoli, G., Nobili, A., Mannucci, P.M., Perticone, F., Arcoraci, V., and Argano, C. (2022). The “Diabetes Comorbidome”: A Different Way for Health Professionals to Approach the Comorbidity Burden of Diabetes. Healthcare, 10.

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