Relationship Between Overweight and Obesity With Hospitalization for Heart Failure in 20,985 Patients With Type 1 Diabetes: A population-based study from the Swedish National Diabetes Registry
Journal article, 2013

OBJECTIVETo investigate the potential relationship between overweight, obesity, and severe obesity and the risk of hospitalization for heart failure (HF) in patients with type 1 diabetes.RESEARCH DESIGN AND METHODSWe studied patients with type 1 diabetes included in the Swedish National Diabetes Register during 1998-2003, and they were followed-up until hospitalization for HF, death, or 31 December 2009. Cox regression was used to estimate relative risks.RESULTSIn a sample of 20,985 type 1 diabetic patients (mean age, 38.6 years; mean BMI, 25.0 kg/m2), 635 patients were hospitalized with HF as a primary or secondary diagnosis during a median follow-up of 9.1 years. Cox regression adjusting for age, sex, diabetes duration, smoking, HbA1c, systolic and diastolic blood pressures, and baseline and intercurrent comorbidities (including myocardial infarction) showed a significant relationship between BMI and hospitalization for HF (P < 0.0001). In reference to patients in the BMI 20-25 kg/m2 category, hazard ratios (HRs) were as follows: HR 1.22 (95% CI, 0.83-1.78) for BMI <20 kg/m2; HR 0.94 (95% CI 0.78-1.12) for BMI 25-30 kg/m2; HR 1.55 (95% CI, 1.20-1.99) for BMI 30-35 kg/m2; and HR 2.90 (95% CI, 1.92-4.37) for BMI >/=35 kg/m2.CONCLUSIONSObesity, particularly severe obesity, is strongly associated with hospitalization for HF in patients with type 1 diabetes, whereas no similar relation was present in overweight and low body weight.


Daniel Vestberg

University of Gothenburg

Annika Rosengren

University of Gothenburg

Marita Olsson

Chalmers, Mathematical Sciences, Mathematical Statistics

University of Gothenburg

Soffia Gudbjörnsdottir

University of Gothenburg

A. M. Svensson

Region Västra Götaland

Marcus Lind

University of Gothenburg

Diabetes Care

0149-5992 (ISSN)

Vol. 36 9 2857-2861

Subject Categories

Clinical Medicine





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