Dokument: Depression symptoms, wellbeing, health-related quality of life, and diabetes-related distress in novel subtypes of recent-onset diabetes in Germany: a 5-year observational follow-up study

Titel:Depression symptoms, wellbeing, health-related quality of life, and diabetes-related distress in novel subtypes of recent-onset diabetes in Germany: a 5-year observational follow-up study
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=68562
URN (NBN):urn:nbn:de:hbz:061-20250211-114512-8
Kollektion:Publikationen
Sprache:Englisch
Dokumententyp:Wissenschaftliche Texte » Artikel, Aufsatz
Medientyp:Text
Autoren: Sommer, Jana [Autor]
Borgmann, Sandra Olivia [Autor]
Gontscharuk, Veronika [Autor]
Zaharia, Oana-Patricia [Autor]
Maalmi, Haifa [Autor]
Herder, Christian [Autor]
Wagner, Robert [Autor]
Strassburger, Klaus [Autor]
Schön, Martin [Autor]
Burkart, Volker [Autor]
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Dateien vom 11.02.2025 / geändert 11.02.2025
Beschreibung:Background
The subjective experiences of individuals living with diabetes is commonly assessed with patient-reported outcomes (PROs; eg, depression symptoms, wellbeing, health-related quality of life [HRQOL], and diabetes-related distress). Cluster analyses have identified novel diabetes subtypes differing in phenotypic and metabolic characteristics. We aimed to investigate associations between these subtypes and PROs and whether subtype predicted PROs 5 years later.
Methods
Baseline (<12 months after a diabetes diagnosis) and 5-year follow-up data were collected from German Diabetes Study (GDS) participants. Multiple regressions were applied to analyse associations between diabetes subtypes and depression symptoms (Center for Epidemiologic Studies Depression Scale), wellbeing (WHO-5), HRQOL (SF-36), and diabetes-related distress (Problem Areas in Diabetes Scale).
Findings
Cluster analyses at baseline (n=1391) identified participants with severe autoimmune diabetes (SAID, 417 [30%]), severe insulin-deficient diabetes (SIDD, 33 [2%]), severe insulin-resistant diabetes (SIRD, 150 [11%]), mild obesity-related diabetes (MOD, 354 [25%]), and mild age-related diabetes (MARD, 437 [31%]). At baseline, multiple regression analyses showed that participants with SIRD had higher depression symptoms than participants with MARD and lower physical HRQOL than all other subtypes. Participants with SAID reported higher depression symptoms and lower mental HRQOL than participants with MARD, higher physical HRQOL than participants with MARD and MOD, and higher diabetes-related distress than most other subtypes. At the 5-year follow-up, clustering predicted no statistically significant changes in PROs after adjustment for multiple testing, whereas descriptive analyses demonstrated that individuals with SIRD were more likely to experience clinically relevant depression symptoms (16% vs 6%) and low wellbeing (31% vs 14%), respectively, than individuals with MARD.
Interpretation
Diabetes subtypes already differ in PROs at diabetes diagnosis. Our analyses had limited predictive power during follow-up. However, our findings suggest that clustering could predict future changes in depression symptoms.
Funding
The GDS was initiated and financed by the German Diabetes Center, which is funded by the German Federal Ministry of Health, the Ministry of Culture and Science of the state of North Rhine-Westphalia, and by the German Federal Ministry of Education and Research to the German Center for Diabetes Research.
Rechtliche Vermerke:Originalveröffentlichung:
Sommer, J., Borgmann, S. O., Gontscharuk, V., Zaharia, O. P., Maalmi, H., Herder, C., Wagner, R., Strassburger, K., Schön, M., Burkart, V., Szendrödi, J., Pfeiffer, A. F. H., Bornstein, S., Blüher, M., Seissler, J., Birkenfeld, A. L., Meyhöfer, S., Roden, M., & Icks, A. (2024). Depression symptoms, wellbeing, health-related quality of life, and diabetes-related distress in novel subtypes of recent-onset diabetes in Germany: a 5-year observational follow-up study. The Lancet Diabetes & Endocrinology, 12(12), 890–903. https://doi.org/10.1016/s2213-8587(24)00234-1
Lizenz:Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz
Fachbereich / Einrichtung:Medizinische Fakultät
Dokument erstellt am:11.02.2025
Dateien geändert am:11.02.2025
english
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