Hyuk In Yang1, Hyeon Chang Kim2, Justin Y Jeon3. 1. Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, Republic of Korea; Department of Sport and Leisure Studies, Yonsei University, Seoul, Republic of Korea. 2. Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University, Seoul, Republic of Korea; Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. 3. Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, Republic of Korea; Department of Sport and Leisure Studies, Yonsei University, Seoul, Republic of Korea; Cancer Prevention Center, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address: jjeon@yonsei.ac.kr.
Abstract
OBJECTIVE: Investigate the association of resting heart rate (RHR) with diabetes, hypertension and metabolic syndrome in a data set that represents the whole Korean adult population. METHODS: The data of 18,640 adults, that represent the whole Korean adult population, was used to examine the association of resting heart rate (RHR) with blood related variables, diabetes, hypertension and metabolic syndrome. RESULTS: Compared to participants with a RHR of <60 beats per minute (bpm), participants with a RHR of ≥90 bpm had higher odds of diabetes {3.85 [95% confidence interval (CI) 2.14-6.90], 3.34 (95% CI 1.83-6.10)} and metabolic syndrome [3.55 (95% CI 2.19-5.74), 2.15 (95% CI 1.37-3.35)], for men and women, respectively. Furthermore, compared to the participants with normal BMI (<23 kg/m(2)) normal RHR (<80 bpm), participants with high BMI (≥23 kg/m(2)) high RHR (≥80 bpm) had higher odds of diabetes [2.51 (95% CI 1.83-3.46), 4.89 (95% CI 3.63-6.58)], hypertension [3.88 (95% CI 3.00-5.01), 2.61 (95% CI 2.07-3.28)], and metabolic syndrome [9.67 (95% CI 7.42-12.61), 13.09 (95% CI 10.25-16.73)], for men and women, respectively. RHR shows a positive dose response relationship with the prevalence of diabetes and metabolic syndrome. The combined association of RHR with BMI increases the potency of RHR as a marker of diabetes, hypertension and metabolic syndrome. CONCLUSIONS: This study shows that RHR has an important role to play as a potential clinical measurement and prognostic marker.
OBJECTIVE: Investigate the association of resting heart rate (RHR) with diabetes, hypertension and metabolic syndrome in a data set that represents the whole Korean adult population. METHODS: The data of 18,640 adults, that represent the whole Korean adult population, was used to examine the association of resting heart rate (RHR) with blood related variables, diabetes, hypertension and metabolic syndrome. RESULTS: Compared to participants with a RHR of <60 beats per minute (bpm), participants with a RHR of ≥90 bpm had higher odds of diabetes {3.85 [95% confidence interval (CI) 2.14-6.90], 3.34 (95% CI 1.83-6.10)} and metabolic syndrome [3.55 (95% CI 2.19-5.74), 2.15 (95% CI 1.37-3.35)], for men and women, respectively. Furthermore, compared to the participants with normal BMI (<23 kg/m(2)) normal RHR (<80 bpm), participants with high BMI (≥23 kg/m(2)) high RHR (≥80 bpm) had higher odds of diabetes [2.51 (95% CI 1.83-3.46), 4.89 (95% CI 3.63-6.58)], hypertension [3.88 (95% CI 3.00-5.01), 2.61 (95% CI 2.07-3.28)], and metabolic syndrome [9.67 (95% CI 7.42-12.61), 13.09 (95% CI 10.25-16.73)], for men and women, respectively. RHR shows a positive dose response relationship with the prevalence of diabetes and metabolic syndrome. The combined association of RHR with BMI increases the potency of RHR as a marker of diabetes, hypertension and metabolic syndrome. CONCLUSIONS: This study shows that RHR has an important role to play as a potential clinical measurement and prognostic marker.
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: Jihye Park; Jae Hyun Kim; Yehyun Park; Soo Jung Park; Jae Hee Cheon; Won Ho Kim; Ji Soo Park; Justin Y Jeon; Tae Il Kim Journal: PLoS One Date: 2018-03-02 Impact factor: 3.240