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Health-related quality of life of people with type 1 diabetes: An IMI2 SOPHIA post hoc analysis of FUTURE and ADJUNCT-ONE.
Steenackers, Nele; Sparsø, Thomas; Charleer, Sara; De Block, Christophe; De Cock, Diederik; Delfin, Carl; Mathieu, Chantal; Nobels, Frank; Pazmino, Sofia; Rosen, Jonathan; Del Pozo, Carmen Hurtado; Gillard, Pieter; Van der Schueren, Bart.
Afiliação
  • Steenackers N; Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
  • Sparsø T; Department of Pharmacometrics, Novo Nordisk A/S, Søborg, Denmark.
  • Charleer S; Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium.
  • De Block C; Department of Endocrinology, Diabetology and Metabolism, University of Antwerp-Antwerp University Hospital, Antwerp, Belgium.
  • De Cock D; Biostatistics and Medical Informatics Research Group, Department of Public Health, Vrije Universiteit Brussel, Brussels, Belgium.
  • Delfin C; Department of Pharmacometrics, Novo Nordisk A/S, Søborg, Denmark.
  • Mathieu C; Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
  • Nobels F; Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium.
  • Pazmino S; Department of Endocrinology, OLV Hospital Aalst, Aalst, Belgium.
  • Rosen J; Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
  • Del Pozo CH; Research Department, Breakthrough T1D, New York, New York, USA.
  • Gillard P; Research Department, Breakthrough T1D, New York, New York, USA.
  • Van der Schueren B; Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven, Leuven, Belgium.
Diabetes Obes Metab ; 2024 Aug 27.
Article em En | MEDLINE | ID: mdl-39192532
ABSTRACT

AIM:

To characterize and stratify health-related quality of life in individuals with type 1 diabetes (T1D) using body mass index (BMI) and clustering analysis. MATERIAL AND

METHODS:

Baseline data on individuals with T1D were pooled from two studies. A post hoc analysis of health-related quality of life, measured using the 36-item Short-Form questionnaire, was performed, referenced to the 2010 US general population. Descriptive statistics were presented for the pooled cohort and per BMI category. K-means clustering was performed. One-way analysis of variance was conducted to examine differences in clinical characteristics between clusters.

RESULTS:

The pooled cohort consisted of 2256 individuals with T1D (age 45.4 ± 15.0 years, BMI 26.2 ± 4.6 kg/m2, diabetes duration 22.7 ± 13.5 years). All quality-of-life domains were slightly lower than 50(the general population's mean), except for vitality. Individuals with a BMI ≥30 kg/m2 reported lower scores for bodily pain, physical functioning, general health, and vitality. A first cluster with a high and a second cluster with a low quality of life were identified, with significant differences in the mental (Cluster 1 53.8 ± 6.8 vs. Cluster 2 39.5 ± 10.7; p < 0.001) and physical component summary scores (Cluster 1 49.6 ± 6.3 vs. Cluster 2 35.2 ± 12.0; p < 0.001), which exceeded differences found between BMI categories.

CONCLUSIONS:

In our population of people living with T1D, higher BMI may have adversely impacted physical domains of quality of life, but larger differences between the high- and low-quality-of-life cluster indicate that more factors play a role.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article