Liang Wang1, Liufu Cui1, Yanxue Wang1, Anand Vaidya1, Shuohua Chen1, Caifeng Zhang1, Ying Zhu1, Dongqing Li1, Frank B Hu1, Shouling Wu2, Xiang Gao3. 1. Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN, USA, Department of Internal Medicine, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Division of Endocrinology, Diabetes, and Hypertension (A.V.), Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA, Department of Health Care Center, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Graduate School, Hebei United University, Tangshan, China, Department of Nutrition, Harvard University School of Public Health, Boston, MA, USA and Department of Nutritional Science, Pennsylvania State University, University Park, PA, USA. 2. Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN, USA, Department of Internal Medicine, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Division of Endocrinology, Diabetes, and Hypertension (A.V.), Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA, Department of Health Care Center, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Graduate School, Hebei United University, Tangshan, China, Department of Nutrition, Harvard University School of Public Health, Boston, MA, USA and Department of Nutritional Science, Pennsylvania State University, University Park, PA, USA xxg14@psu.edu drwusl@163.com. 3. Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN, USA, Department of Internal Medicine, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Division of Endocrinology, Diabetes, and Hypertension (A.V.), Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA, Department of Health Care Center, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Graduate School, Hebei United University, Tangshan, China, Department of Nutrition, Harvard University School of Public Health, Boston, MA, USA and Department of Nutritional Science, Pennsylvania State University, University Park, PA, USA Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN, USA, Department of Internal Medicine, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Division of Endocrinology, Diabetes, and Hypertension (A.V.), Brigham and Women's Hospital & Harvard Medical School, Boston, MA, USA, Department of Health Care Center, Kailuan Hospital Affiliated to Hebei United University, Tangshan, China, Graduate School, Hebei United University, Tangshan, China, Department of Nutrition, Harvard University School of Public Health, Boston, MA, USA and Department of Nutritional Science, Pennsylvania State University, University Park, PA, USA xxg14@psu.edu drwusl@163.com.
Abstract
BACKGROUND: To investigate the association between resting heart rate and the risk of developing impaired fasting glucose (IFG), diabetes and conversion from IFG to diabetes. METHODS: The prospective analysis included 73,357 participants of the Kailuan cohort (57,719 men and 15,638 women). Resting heart rate was measured via electrocardiogram in 2006. Incident diabetes was defined as either the fasting blood glucose (FBG) ≥ 7.0 mmol/l or new active use of diabetes medications during the 4-year follow-up period. IFG was defined as a FBG between 5.6 and 6.9 mmol/l. A meta-analysis including seven published prospective studies focused on heart rate and diabetes risk, and our current study was then conducted using random-effects models. RESULTS: During 4 years of follow-up, 17,463 incident IFG cases and 4,649 incident diabetes cases were identified. The corresponding adjusted hazard ratios (HRs) for each 10 beats/min increase in heart rate were 1.23 [95% confidence interval (CI): 1.19, 1.27] for incident diabetes, 1.11 (95% CI: 1.09, 1.13) for incident IFG and 1.13 (95% CI: 1.08, 1.17) for IFG to diabetes conversion. The risks of incident IFG and diabetes were significantly higher among participants aged < 50 years than those aged ≥ 50 years (P-interaction < 0.02 for both). A meta-analysis confirmed the positive association between resting heart rate and diabetes risk (pooled HR for the highest vs lowest heart rate quintile = 1.59, 95% CI:1.27, 2.00; n = 8). CONCLUSION: Faster resting heart rate is associated with higher risk of developing IFG and diabetes, suggesting that heart rate could be used to identify individuals with a higher future risk of diabetes.
BACKGROUND: To investigate the association between resting heart rate and the risk of developing impaired fasting glucose (IFG), diabetes and conversion from IFG to diabetes. METHODS: The prospective analysis included 73,357 participants of the Kailuan cohort (57,719 men and 15,638 women). Resting heart rate was measured via electrocardiogram in 2006. Incident diabetes was defined as either the fasting blood glucose (FBG) ≥ 7.0 mmol/l or new active use of diabetes medications during the 4-year follow-up period. IFG was defined as a FBG between 5.6 and 6.9 mmol/l. A meta-analysis including seven published prospective studies focused on heart rate and diabetes risk, and our current study was then conducted using random-effects models. RESULTS: During 4 years of follow-up, 17,463 incident IFG cases and 4,649 incident diabetes cases were identified. The corresponding adjusted hazard ratios (HRs) for each 10 beats/min increase in heart rate were 1.23 [95% confidence interval (CI): 1.19, 1.27] for incident diabetes, 1.11 (95% CI: 1.09, 1.13) for incident IFG and 1.13 (95% CI: 1.08, 1.17) for IFG to diabetes conversion. The risks of incident IFG and diabetes were significantly higher among participants aged < 50 years than those aged ≥ 50 years (P-interaction < 0.02 for both). A meta-analysis confirmed the positive association between resting heart rate and diabetes risk (pooled HR for the highest vs lowest heart rate quintile = 1.59, 95% CI:1.27, 2.00; n = 8). CONCLUSION: Faster resting heart rate is associated with higher risk of developing IFG and diabetes, suggesting that heart rate could be used to identify individuals with a higher future risk of diabetes.
Authors: Dong Hoon Lee; Leandro Fórnias Machado de Rezende; Frank B Hu; Justin Y Jeon; Edward L Giovannucci Journal: Diabetes Metab Res Rev Date: 2018-11-20 Impact factor: 4.876
Authors: Christian Stevns Hansen; Kristine Færch; Marit Eika Jørgensen; Marek Malik; Daniel R Witte; Eric J Brunner; Adam G Tabák; Mika Kivimäki; Dorte Vistisen Journal: Diabetes Care Date: 2019-04-02 Impact factor: 19.112