Abstract
Autonomic nervous dysfunction is considered to be one of the mechanisms of metabolic syndrome (MetS). The aim of this study is to investigate whether resting heart rate, a marker of autonomic nervous dysfunction, is a predictor of MetS in apparently healthy non-obese [body mass index (BMI) <25 kg/m2] Japanese men. This is an observational study through 3 years in apparently healthy Japanese 1,265 men and 793 women without MetS and with no history of cardiovascular disease and no use of antihypertensive, antidiabetic, or antihyperlipidemic medication at baseline. Hazard ratios (HRs) of incident MetS were calculated for each 1 SD increase in heart rate stratified by gender and obesity. Incidence of MetS for each tertile of heart rate and HRs of MetS for the highest tertile (T3) compared with the lowest tertile (T1) were calculated stratified by gender and obesity. The HRs [95 % confidence intervals (CIs)] of MetS for each 1 SD increase in heart rate were 1.319 (1.035–1.681) (p = 0.025) in non-obese men, 1.172 (0.825–1.665) (p = 0.377) in obese men, 1.115 (0.773–1.608) (p = 0.560) in non-obese women, and 1.401 (0.944–2.078) (p = 0.094) in obese women adjusted for BMI, age, smoking, alcohol drinking, and physical activity. The HRs (95 % CIs) of MetS for T3 were 2.138 (1.071–4.269) (p = 0.031) in non-obese men and 1.341 (0.565–3.180) (p = 0.506) in obese men adjusted for pre-existing five components of MetS, age, smoking, alcohol drinking, and physical activity. In conclusion, an increase in resting heart rate was a significant predictor of MetS in non-obese Japanese men.
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References
Oda E (2012) Metabolic syndrome: its history, mechanisms, and limitations. Acta Diabetol 49:89–95
World Health Organization (1999) Definition, diagnosis, and classification of diabetes mellitus and its complications: report of a WHO Consultation. World Health Organization, Geneva
Expert Panel on the Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (2001) Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel). JAMA 285:2486–2497
Alberti KGMM, Zimmet P, Shaw J (2006) Metabolic syndrome—a new world-wide definition. A consensus statement from the International Diabetes Federation. Diabet Med 23:469–480
Grundy SM, Cleeman JI, Daniels SR et al (2005) Diagnosis and management of the metabolic syndrome: a statement for health care professionals: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112:2735–2752
Alberti KGMM, Eckel RH, Grundy SM et al (2009) Harmonizing the metabolic syndrome. A joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 120:1640–1645
Kahn R, Buse J, Ferrannini E, Stern M (2005) The metabolic syndrome: time for a critical appraisal: joint statement from the American Diabetes Association and the European Association for the Study of Diabetes. Diabetes Care 28:2289–2304
Simmons RK, Alberti KG, Gale EA et al (2010) The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation. Diabetologia 53:600–605
Oda E (2008) The metabolic syndrome as a concept of adipose tissue disease. Hypertens Res 31:1283–1291
Cinti S, Mitchell G, Barbatelli G et al (2005) Adipocyte death defines macrophage localization and function in adipose tissue of obese mice and humans. J Lipid Res 46:2347–2355
Reaven GM, Lithell H, Landsberg L (1996) Hypertension and associated metabolic abnormalities—the role of insulin resistance and the sympathoadrenal system. N Engl J Med 334:374–381
Katagiri H, Yamada T, Oka Y (2007) Adiposity and cardiovascular disorders: disturbance of the regulatory system consisting of humoral and neuronal signals. Circ Res 101:27–39
Niijima A (1998) Afferent signals from leptin sensors in the white adipose tissue of the epididymis, and their reflex effect in the rat. J Auton Nerv Syst 73:19–25
Yamada T, Katagiri H, Ishigaki Y et al (2006) Signals from intra-abdominal fat modulate insulin and leptin sensitivity through different mechanisms: neuronal involvement in food-intake regulation. Cell Metab 3:223–229
Carnethon MR, Golden SH, Folsom AR, Haskell W, Liao D (2003) A prospective investigation of autonomic nervous system function and the development of type 2 diabetes: atherosclerosis risk in communities study, 1987–1998. Circulation 107:2190–2195
Ruderman NB, Schneider SH, Berchtold P (1981) The “metabolically-obese”, normal-weight individual. Am J Clin Nutr 34:1617–1621
The Examination Committee of Criteria for ‘Obesity Disease’ in Japan, Japan Society for the Study of Obesity (2002) New criteria for ‘obesity disease’ in Japan. Circ J 66:987–992
Reaven GM (1988) Role of insulin resistance in human disease. Diabetes 37:1595–1607
Cnop M, Landchild MJ, Vidal J et al (2002) The concurrent accumulation of intra-abdominal and subcutaneous fat explains the association between insulin resistance and plasma leptin concentrations: distinct metabolic effects of two fat compartments. Diabetes 51:1005–1015
Dandona P, Aljada A, Chaudhuri A, Mohanty P, Garg R (2005) Metabolic syndrome: a comprehensive perspective based on interactions between obesity, diabetes, and inflammation. Circulation 111:1448–1454
Kim J, Montagnani M, Koh KK, Quon MJ (2006) Reciprocal relationships between insulin resistance and endothelial dysfunction. Molecular and pathophysiological mechanisms. Circulation 113:1888–1904
Inoue T, Oshiro S, Iseki K et al (2001) High heart rate relates to clustering of cardiovascular risk factors in a screened cohort. Jpn Circ J 65:969–973
Oda E, Kawai R (2009) Significance of heart rate on the prevalence of metabolic syndrome and its related risk factors in Japanese. Circ J 73:1431–1436
Rogowski O, Steinvil A, Berliner S et al (2009) Elevated resting heart rate is associated with the metabolic syndrome. Cardiovasc Diabetol 8:55
Tomiyama H, Yamada J, Koji Y et al (2007) Heart rate elevation precedes the development of metabolic syndrome in Japanese men: a prospective study. Hypertens Res 30:417–426
Inoue T, Iseki K, Iseki C, Ohya Y, Kinjo K, Takishita S (2009) Effect of heart rate on the risk of developing metabolic syndrome. Hypertens Res 32:801–806
Miyawaki T, Abe M, Yahata K, Kajiyama N, Katsuma H, Saito N (2004) Contribution of visceral fat accumulation to the risk factors for atherosclerosis in non-obese Japanese. Intern Med 43:1138–1144
Goto T, Onuma T, Takebe K, Kral JG (1995) The influence of fatty liver on insulin clearance and insulin resistance in non-diabetic Japanese subjects. Int J Obes Relat Metab Disord 19:841–845
Oda E, Kawai R (2009) Age- and gender-related differences in correlations between abdominal obesity and obesity-related metabolic risk factors in Japanese. Intern Med 48:497–502
Johnson MS, DeMarco VG, Heesch CM et al (2011) Sex differences in baroreflex sensitivity, heart rate variability, and end organ damage in the TGR(mRen2)27 rat. Am J Physiol Heart Circ Physiol 301:H1540–H1550
Fox K, Borer JS, Camm AJ et al (2007) Resting heart rate in cardiovascular disease. J Am Coll Cardiol 50:823–830
Tverdal A, Hjellvik V, Selmer R (2008) Heart rate and mortality from cardiovascular causes: a 12 year follow-up study of 379,843 men and women aged 40–45 years. Eur Heart J 29:2772–2781
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The authors thank all subjects who participated in the study and the paramedical staff at our center who assisted with the study. The authors received no financial support for this study.
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Communicated by Renato Lauro.
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Oda, E., Aizawa, Y. Resting heart rate predicts metabolic syndrome in apparently healthy non-obese Japanese men. Acta Diabetol 51, 85–90 (2014). https://doi.org/10.1007/s00592-013-0503-9
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DOI: https://doi.org/10.1007/s00592-013-0503-9