Body Mass Index and Heart Failure Among Patients with Type 2 Diabetes Li et al: BMI and Heart Failure in Diabetic Patients
Weiqin Li, MD, Msc1,2; Peter T. Katzmarzyk, PhD1; Ronald Horswell, PhD1; Yonggang Zhang, Msc1; Yujie Wang, PhD1; Jolene Johnson, MD3; Gang Hu, MD, PhD1
1
Pennington Biomedical Research Center, Baton Rouge, LA
2
Tianjin Women’s and Children’s Health Center, Tianjin, China
3
LSU Health Baton Rouge, Baton Rouge, LA
Correspondence to Gang Hu, MD, PhD Chronic Disease Epidemiology i miol idem iology L Laboratory ab borattory Pennington Biomedical i Research Cen ical Center en nter teer 6400 Perkins Road Baton Rouge, LA 70808 00808 8088 80 Tel: 225-763-3053 Fax: 225-763-3009 Email: [email protected] DOI: 10.1161/CIRCHEARTFAILURE.114.001837 Journal Subject Codes: Diabetes:[190] Type 2 diabetes
1 Downloaded from http://circheartfailure.ahajournals.org/ by guest on August 11, 2015
Abstract Background—Epidemiologic data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients are rare. Methods and Results—We performed a prospective cohort study of risk for HF among 31,155 patients with type 2 diabetes (11,468 men and 19,687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. During a mean follow-up of 7.8 years, 5,834 subjects developed HF (2,379 men and 3,455 women). The multivariable-adjusted (age, race, smoking, income and type of insurance) hazard 29.9 [reference cee group], g ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 30-34.9, 4,, aand nd 22.02 .0 02 (P ( trend 40%).28,29 Follow-up of each cohort member continued until the date of HF, the date of the last visit if the subject stopped use of LSUHCSD hospitals, death or June 31, 2013.
Statistical analyses The association between BMI and incident HF was analyzed by using Cox proportional hazards models. BMI was evaluated in the following 2 ways: (1) as 6 categories (BMI 18.5-22.9, 23-24.9,
6 Downloaded from http://circheartfailure.ahajournals.org/ by guest on August 11, 2015
25-29.9 [reference group], 30-34.9, 35-39.9, and 40 kg/m2), and (2) as a continuous variable. Since there was an interaction between BMI and sex on incident HF (F2 = 8.086, df = 1, p
Weiqin Li, MD, Msc1,2; Peter T. Katzmarzyk, PhD1; Ronald Horswell, PhD1; Yonggang Zhang, Msc1; Yujie Wang, PhD1; Jolene Johnson, MD3; Gang Hu, MD, PhD1
1
Pennington Biomedical Research Center, Baton Rouge, LA
2
Tianjin Women’s and Children’s Health Center, Tianjin, China
3
LSU Health Baton Rouge, Baton Rouge, LA
Correspondence to Gang Hu, MD, PhD Chronic Disease Epidemiology i miol idem iology L Laboratory ab borattory Pennington Biomedical i Research Cen ical Center en nter teer 6400 Perkins Road Baton Rouge, LA 70808 00808 8088 80 Tel: 225-763-3053 Fax: 225-763-3009 Email: [email protected] DOI: 10.1161/CIRCHEARTFAILURE.114.001837 Journal Subject Codes: Diabetes:[190] Type 2 diabetes
1 Downloaded from http://circheartfailure.ahajournals.org/ by guest on August 11, 2015
Abstract Background—Epidemiologic data on the association between body mass index (BMI) and heart failure (HF) risk among diabetic patients are rare. Methods and Results—We performed a prospective cohort study of risk for HF among 31,155 patients with type 2 diabetes (11,468 men and 19,687 women). Cox proportional hazards regression models were used to estimate the association of different levels of BMI with HF risk. During a mean follow-up of 7.8 years, 5,834 subjects developed HF (2,379 men and 3,455 women). The multivariable-adjusted (age, race, smoking, income and type of insurance) hazard 29.9 [reference cee group], g ratios of HF associated with BMI levels (18.5-22.9, 23-24.9, 25-29.9 30-34.9, 4,, aand nd 22.02 .0 02 (P ( trend 40%).28,29 Follow-up of each cohort member continued until the date of HF, the date of the last visit if the subject stopped use of LSUHCSD hospitals, death or June 31, 2013.
Statistical analyses The association between BMI and incident HF was analyzed by using Cox proportional hazards models. BMI was evaluated in the following 2 ways: (1) as 6 categories (BMI 18.5-22.9, 23-24.9,
6 Downloaded from http://circheartfailure.ahajournals.org/ by guest on August 11, 2015
25-29.9 [reference group], 30-34.9, 35-39.9, and 40 kg/m2), and (2) as a continuous variable. Since there was an interaction between BMI and sex on incident HF (F2 = 8.086, df = 1, p
