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BMC Public Health
Published in: BMC Public Health 1/2011

Open Access 01-12-2011 | Research article

Association between physical activity and metabolic syndrome in middle-aged Japanese: a cross-sectional study

Authors: Junghoon Kim, Kai Tanabe, Noriko Yokoyama, Hirofumi Zempo, Shinya Kuno

Published in: BMC Public Health | Issue 1/2011

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Abstract

Background

Although many studies have reported an association between self-reported physical activity and metabolic syndrome (MetS), there is limited information on the optimal level of physical activity required to prevent MetS. This study aimed to determine the association between objectively measured physical activity and MetS in middle-aged Japanese individuals. We also determined the optimal cutoff value for physical activity required to decrease the risk of developing MetS.

Methods

A total of 179 men and 304 women, aged between 30 and 64 years, participated in this study. Participants were divided into two groups using the Japanese criteria for MetS as those with MetS or pre-MetS, and those without MetS. Participants were considered to be physically active if they achieved a physical activity level of 23 metabolic equivalents (METs) h/week, measured using a triaxial accelerometer. The association between physical activity and MetS was analyzed using logistic regression with the following covariates: sex, age, sedentary time, low intensity activity, calorie intake, smoking, menopause and body mass index. We also evaluated the factors that determined the association between the prevalence of MetS and pre-MetS and the physical activity cutoff value using classification and regression tree (CART) analysis.

Results

The odds ratio for MetS and pre-MetS was 2.20 for physically inactive participants (< 23 METs h/week), compared with physically active participants (≥ 23 METs h/week). The corresponding odds ratios for men and women were 2.27 (P < 0.01) and 1.95 (not significant), respectively. CART analyses revealed that moderate-vigorous physical activity of > 26.5 METs h/week was sufficient to decrease the prevalence of MetS and pre-MetS in middle-aged Japanese men and women.

Conclusions

The results of this cross-sectional study indicate that the Exercise and Physical Activity Reference for Health Promotion 2006 is inversely associated with the prevalence of MetS in men. Our results also suggest that moderate physical activity of > 26.5 METs h/week may decrease the risk of developing MetS and pre-MetS in middle-aged Japanese individuals.
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Literature
1.
Reaven GM: Role of insulin resistance in human disease. Diabetes. 1998, 37: 1595-1607.CrossRef
2.
Laaksonen DE, Lakka HM, Niskanen LK, Kaplan GA, Salonen JT, Lakka TA: Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study. Am J Epidemiol. 2002, 156: 1070-1077. 10.1093/aje/kwf145.CrossRefPubMed
3.
Lorenzo C, Okoloise M, Williams K, Stern MP: The metabolic syndrome as predictor of type 2 diabetes: the San Antonio heart study. Diabetes Care. 2003, 26: 3153-3159. 10.2337/diacare.26.11.3153.CrossRefPubMed
4.
Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, Salonen JT: The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002, 288: 2709-2716. 10.1001/jama.288.21.2709.CrossRefPubMed
5.
Hu G, Qiao Q, Tuomilehto J, Balkau B, Borch-Johnsen K, Pyorala K: Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med. 2004, 164: 1066-1076. 10.1001/archinte.164.10.1066.CrossRefPubMed
6.
Brien SE, Katzmarzyk PT: Physical activity and the metabolic syndrome in Canada. Appl Physiol Nutr Metab. 2006, 31: 40-47. 10.1139/h05-024.CrossRefPubMed
7.
Lakka TA, Laaksonen DE: Physical activity in prevention and treatment of the metabolic syndrome. Appl Physiol Nutr Metab. 2007, 32: 76-88. 10.1139/h06-113.CrossRefPubMed
8.
Yang X, Telama R, Hirvensalo M, Mattsson N, Viikari JS, Raitakari OT: The longitudinal effects of physical activity history on metabolic syndrome. Med Sci Sports Exerc. 2008, 40: 1424-1431. 10.1249/MSS.0b013e318172ced4.CrossRefPubMed
9.
Rennie KL, McCarthy N, Yazdgerdi S, Marmot M, Brunner E: Association of the metabolic syndrome with both vigorous and moderate physical activity. Int J Epidemiol. 2003, 32: 600-606. 10.1093/ije/dyg179.CrossRefPubMed
10.
Franks PW, Ekelund U, Brage S, Wong MY, Wareham NJ: Does the association of habitual physical activity with the metabolic syndrome differ by level of cardiorespiratory fitness?. Diabetes Care. 2004, 27: 1187-1193. 10.2337/diacare.27.5.1187.CrossRefPubMed
11.
Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ: Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely Study. Diabetes Care. 2005, 1195-1200. 28
12.
Laaksonen DE, Lindström J, Lakka TA, Eriksson JG, Niskanen L, Wikström K, Aunola S, Keinänen-Kiukaanniemi S, Laakso M, Valle TT, Ilanne-Parikka P, Louheranta A, Hämäläinen H, Rastas M, Salminen V, Cepaitis Z, Hakumäki M, Kaikkonen H, Härkönen P, Sundvall J, Tuomilehto J, Uusitupa M, Finnish diabetes prevention study: Physical activity in the prevention of type 2 diabetes: the Finnish diabetes prevention study. Diabetes. 2005, 54: 158-165. 10.2337/diabetes.54.1.158.CrossRefPubMed
13.
Méndez-Hernández P, Flores Y, Siani C, Lamure M, Dosamantes-Carrasco LD, Halley-Castillo E, Huitrón G, Talavera JO, Gallegos-Carrillo K, Salmerón J: Physical activity and risk of metabolic syndrome in an urban Mexican cohort. BMC Public Health. 2009, 9: 276-10.1186/1471-2458-9-276.CrossRefPubMedPubMedCentral
14.
15.
Ishikawa-Takata K, Tabata I: Exercise and Physical Activity Reference for Health Promotion 2006 (EPAR2006). J Epidemiol. 2007, 17: 177-CrossRefPubMed
16.
Sallis J, Saelens B: Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport. 2000, 71: 1-14.CrossRefPubMed
17.
18.
Donahoo W, Levine J, Melanson E: Variability in energy expenditure and its components. Curr Opin Clin Nutr. 2004, 7: 599-605. 10.1097/00075197-200411000-00003.CrossRef
19.
Harris T, Owen C, Victor C, Adams R, Ekelund U, Cook D: A comparison of questionnaire, accelerometer, and pedometer: measures in older people. Med Sci Sport Exer. 2009, 41: 1392-1402. 10.1249/MSS.0b013e31819b3533.CrossRef
20.
Oshima Y, Shiga T, Namba H, Kuno S: Estimation of whole-body skeletal muscle mass by bioelectrical impedance analysis in the standing position. Obes Res Clin Pract. 2010, 4: 1-CrossRef
21.
Oshima Y, Kawaguchi K, Tanaka S, Ohkawara K, Hikihara Y, Ishikawa-Takata K, Tabata I: Classifying household and locomotive activities using a triaxial accelerometer. Gait Posture. 2010, 31: 370-374. 10.1016/j.gaitpost.2010.01.005.CrossRefPubMed
22.
Trost SG, Pate RR, Freedson PS, Sallis JF, Taylor WC: Using objective physical activity measures with youth: how many days of monitoring are needed?. Med Sci Sports Exerc. 2000, 32: 426-431. 10.1097/00005768-200002000-00025.CrossRefPubMed
23.
The Examination Committee of Criteria for 'Metabolic Syndrome' in Japan: Criteria for 'metabolic syndrome' in Japan. J Jpn Soc Int Med. 2005, 94: 188-203. in Japanese
24.
Fujita T: The metabolic syndrome in Japan. Nat Clin Pract Cardiovasc. 2008, 5: 15-18.CrossRef
25.
Breiman LFJ, Olshen RA, Stone CJ: Classification and Regression Trees. 1984, Belmont, CA: Chapman & Hall/CRC
26.
Nakata Y, Okura T, Matsuo T, Tanaka K: Factors alleviating metabolic syndrome via diet-induced weight loss with or without exercise in overweight Japanese women. Prev Med. 2009, 48: 351-356. 10.1016/j.ypmed.2009.01.013.CrossRefPubMed
27.
R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. 2009, ISBN 3-900051-07-0, [http://​www.​R-project.​org]
28.
Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, Van Pelt RE, Wang H, Eckel RH: The metabolic syndrome. Endocr Rev. 2008, 29: 777-822. 10.1210/er.2008-0024.CrossRefPubMed
29.
Carroll S, Dudfield M: What is the relationship between exercise and metabolic abnormalities? A review of the metabolic syndrome. Sports Med. 2004, 34: 371-418. 10.2165/00007256-200434060-00004.CrossRefPubMed
30.
Byberg L, Zethelius B, McKeigue PM, Lithell HO: Changes in physical activity are associated with changes in metabolic cardiovascular risk factors. Diabetologia. 2001, 44: 2134-2139. 10.1007/s001250100022.CrossRefPubMed
31.
Carroll S, Cooke CB, Butterly RJ: Metabolic clustering, physical activity and fitness in nonsmoking, middle-aged men. Med Sci Sports Exerc. 2000, 32: 2079-2086. 10.1097/00005768-200012000-00018.CrossRefPubMed
32.
Irwin ML, Ainsworth BE, Mayer-Davis EJ, Addy CL, Pate RR, Durstine JL: Physical activity and the metabolic syndrome in a tri-ethnic sample of women. Obes Res. 2002, 10: 1030-1037. 10.1038/oby.2002.140.CrossRefPubMed
33.
Zhu S, St-Onge MP, Heshka S, Heymsfield SB: Lifestyle behaviors associated with lower risk of having the metabolic syndrome. Metabolism. 2004, 53: 1503-1511. 10.1016/j.metabol.2004.04.017.CrossRefPubMed
34.
Boule NG, Bouchard C, Tremblay A: Physical fitness and the metabolic syndrome in adults from the Quebec Family Study. Can J Appl Physiol. 2005, 30: 140-156. 10.1139/h05-111.CrossRefPubMed
35.
Riccardi G, Giacco R, Rivellese AA: Dietary fat, insulin sensitivity and the metabolic syndrome. Clin Nutr. 2004, 23: 447-456. 10.1016/j.clnu.2004.02.006.CrossRefPubMed
36.
Ishizaka N, Ishizaka Y, Toda E, Nagai R, Yamakado M: Association between cigarette smoking, white blood cell count, and metabolic syndrome as defined by the Japanese criteria. Intern Med. 2007, 46: 1167-1170. 10.2169/internalmedicine.46.0136.CrossRefPubMed
37.
McNeill AM, Rosamond WD, Girman CJ, Golden SH, Schmidt MI, East HE, Ballantyne CM, Heiss G: The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study. Diabetes Care. 2005, 28: 385-390. 10.2337/diacare.28.2.385.CrossRefPubMed
38.
Eshtiaghi R, Esteghamati A, Nakhjavani M: Menopause is an independent predictor of metabolic syndrome in Iranian women. Maturitas. 2009, 65: 262-266.CrossRefPubMed
Metadata
Title
Association between physical activity and metabolic syndrome in middle-aged Japanese: a cross-sectional study
Authors
Junghoon Kim
Kai Tanabe
Noriko Yokoyama
Hirofumi Zempo
Shinya Kuno
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2011
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-11-624

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