Association between Metabolic Syndrome Criteria and Lifestyle Category among University Academic Staff in West Java, Indonesia
DOI:
https://doi.org/10.3923/pjn.2018.709.714Keywords:
Central obesity, fat mass, hypertension, hypertriglyceridemia, nutritional status, physical activityAbstract
Background and Objective: Metabolic syndrome (MetS) prevalence is rising globally, especially in the higher educational community, such as university academic staff. The MetS risk factor is unbalanced nutritional intake combined with insufficient physical activity. Therefore, our goal is to examine the effects of gender, age, nutrient intake and physical activity on hypertension, central obesity and hypertriglyceridemia probability as an important component of MetS among university academic staff. Methodology: The method of this study was a cross-sectional survey and physical examination of MetS on 210 academic staff from Universitas Padjadjaran, Bandung, Indonesia, in 2017. Body height was measured with a stadiometer. Nutritional status and fat mass were measured with a Tanita Bioimpedance Analyzer (BIA). The nutrition intake analysis applied a repeated 24 h food recall method. Physical activity was assessed using the Young Men’ Christian Association (YMCA) step test and Global Physical Activity Questionnaire (GPAQ). Triglyceride level was evaluated by the glycerol-3-phosphate oxidase-phenol aminophenazone (GPO-PAP) method. The data were analyzed with chi-square or Fisher’ exact test and a logistic regression test. Results: Analysis findings showed a significant association between gender, age and nutritional status, with 72% probability of hypertension; a significant relationship among gender, age, nutritional status, fat mass and physical fitness, with 98% probability of central obesity; and an association among gender, age and physical fitness, with 4.9% probability of hypertriglyceridemia. Conclusion: These results suggest that middle-aged males who are more than 35 years old, combined with over-nutritional status, less dietary intake, less physical activity and low physical fitness have a higher risk of developing MetS.
References
WHO., 2015. Prevalence of insufficient physical activity. http://www.who.int/mediacentre/factsheets/fs385/en/.
Riset Kesehatan Dasar, 2013. Badan penelitian dan pengembangan kesehatan. Kementerian Kesehatan RI.
NIH., 2016. National cholesterol education program, ATP III guidelines at-a-glance quick desk reference. https://www.nhlbi.nih.gov/files/docs/guidelines/atglance.pdf.
Misra, A., N. Singhal and L. Khurana, 2010. Obesity, the metabolic syndrome and type 2 diabetes in developing countries: Role of dietary fats and oils. J. Am. Coll. Nutr., 29: 289S-301S.
Miller, A.J., I.M. Grais, E. Winslow and L.A. Kaminsky, 1991. The definition of physical fitness. A definition to make it understandable to the laity. J. Sports Med. Phys. Fitness, 31: 639-640.
Ko, G., L.E. Davidson, A.M. Brennan, M. Lam and R. Ross, 2016. Abdominal adiposity, not cardiorespiratory fitness, mediates the exercise-induced change in insulin sensitivity in older adults. PloS One, Vol. 11, No. 12.
Zhang, Y.X., S.R. Wang, J.S. Zhao and Z.H. Chu, 2016. Prevalence of overweight and central obesity and their relationship with blood pressure among college students in Shandong, China. Blood Pressure Monitor., 21: 251-254.
Anderssen, S.A., I. Holme, P. Urdal and I. Hjermann, 1998. Associations between central obestiy and indexes of hemostatic, carbohydrate and lipid metabolism. Results of a 1-year intervention from the oslo diet and exercise study. Scand. J. Med. Sci. Sports, 8: 109-115.
Khan, F.A., M. Dilawar and D.A. Khan, 1997. Reference values of common blood chemistry analytes in healthy population of Rawalpindi-Islamabad area. J. Pak. Med. Assoc., 47: 156-159.
Kotseva, K., D. Wood, D. de Bacquer, G. de Backer and L. Ryden et al., 2015. EUROASPIRE IV: A European Society of Cardiology survey on the lifestyle, risk factor and therapeutic management of coronary patients from 24 European countries. Eur. J. Prev. Cardiol., 23: 636-648.
Wang, J., L. Zhang, F. Wang, L. Liu and H. Wang, 2014. Prevalence, awareness, treatment and control of hypertension in China: Results from a national survey. Am. J. Hypertens., 27: 1355-1361.
Lee, D.H., Y.M. Kim, Y. Jekal, S. Park and K.C. Kim et al., 2013. Low levels of physical activity are associated with increased metabolic syndrome risk factors in Korean adults. Diabetes Metab. J., 37: 132-139.
Turi, B.C., J.S. Codogno, R.A. Fernandes and H.L. Monteiro, 2016. Low levels of physical activity and metabolic syndrome: Cross-sectional study in the Brazilian public health system. Cienc. Saude Coletiva, 21: 1043-1050.
Tchernof, A. and J.P. Despres, 2013. Pathophysiology of human visceral obesity: An update. Physiol. Rev., 93: 359-404.
Brenachot, X., G. Ramadori, R.M. Ioris, C. Veyrat-Durebex and J. Altirriba et al., 2017. Hepatic protein tyrosine phosphatase receptor gamma links obesity-induced inflammation to insulin resistance. Nat. Commun., Vol. 8, No. 1.
Rodriguez-Hernandez, H., L.E. Simental-Mendia, G. Rodriguez-Ramirez and M.A. Reyes-Romero, 2013. Obesity and inflammation: Epidemiology, risk factors and markers of inflammation. Int. J. Endocrinol., Vol. 2013.
Hulsegge, G., H.S.J. Picavet, A. Blokstra, A.C. Nooyens and A.M. Spijkerman et al., 2014. Today's adult generations are less healthy than their predecessors: Generation shifts in metabolic risk factors: The doetinchem cohort study. Eur. J. Prev. Cardiol., 21: 1134-1144.
Singh, G.M., G. Danaei, F. Farzadfar, G.A. Stevens and M. Woodward et al., 2013. The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: A pooled analysis. PloS One, Vol. 8, No. 7.
Ezzati, M. and E. Riboli, 2013. Behavioral and dietary risk factors for noncommunicable diseases. N. Engl. J. Med., 369: 954-964.
Woodward, M., H. Huxley, T.H. Lam, F. Barzi, C.M. Lawes, H. Ueshima and Asia Pacific Cohort Studies Collaboration, 2005. A comparison of the associations between risk factors and cardiovascular disease in Asia and Australasia. Eur. J. Cardiovasc. Prev. Rehabil., 12: 484-491.
Baetge, C., C.P. Earnest, B. Lockard, A.M. Coletta and E. Galvan et al., 2017. Efficacy of a randomized trial examining commercial weight loss programs and exercise on metabolic syndrome in overweight and obese women. Applied Physiol. Nutr. Metab., 42: 216-227.
Mora-Rodriguez, R., M. Ramirez-Jimenez, V.E. Fernandez-Elias, M.V. Guio de Prada and F. Morales-Palomo et al., 2018. Effects of aerobic interval training on arterial stiffness and microvascular function in patients with metabolic syndrome. J. Clin. Hypertens., 20: 11-18.
Doury-Panchout, F., J.C. Metivier, J. Nardoux and B. Fouquet, 2017. Visceral obesity and chronic pain: Effect of a 4-week rehabilitation program on adipokines and insulin resistance. J. Exerc. Rehabil., 13: 464-471.
Amornsriwatanakul, A., L. Lester, F.C. Bull and M. Rosenberg, 2017. Are Thai children and youth sufficiently active? prevalence and correlates of physical activity from a nationally representative cross-sectional study. Int. J. Behav. Nutr. Phys. Activity, Vol. 14, No. 1.
Sharif, R., K.H. Chong, N.H. Zakaria, M.L. Ong and J.J. Reilly et al., 2016. Results From Malaysia's 2016 report card on physical activity for children and adolescents. J. Phys. Activity Health, 13: S201-S205.
Downloads
Published
Issue
Section
License
Copyright (c) 2018 The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.