The Indian Journal of Nutrition and Dietetics

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Metabolic Syndrome among Young Business Process Outsourcing Industry Employees


Affiliations
1 University of Delhi, Lady Irwin College, Department of Food and Nutrition, New Delhi, India
     

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Metabolic Syndrome (MetS) is a complicated disorder that increases a person's risk to cardiovascular disease and diabetes mellitus and therefore, needs to be diagnosed early. Young adults in business process outsourcing industry (BPO) may be more susceptible to the syndrome owing to the sedentary nature of their work and other lifestyle factors. This study aimed at assessing the prevalence of MetS among young business process outsourcing industry employees (21-30 years). In this cross-sectional study conducted in the National Capital Region of India, MetS was diagnosed using the Adult Treatment Pattern III (NCEP ATPIII, 2001) and International Diabetes Federation (IDF, 2005) (ethnicity specific) criteria among 415 business process outsourcing employees (274 males; 141 females) working at the calling level. Prevalence of MetS was 11.8% according to ATPIII criteria (14.6% males; 6.4% females) and 18.3% according to IDF criteria (22.3% males; 10.6% females) and was significantly higher in males compared to females (ATPIII p = 0.014; 95% CI 0.02, 0.14; IDF:p = 0.004; 95% CI 0.05, 0.19). As per the ATPIII criteria, highest proportion of the employees had low levels of HDL cholesterol (48.2%) whereas as per the IDF criteria, they had high waist circumference (58.6%). MetS was significantly associated with being single (ATPIII p=0.003; IDF p=0.012), having monthly income more than 20,000 INR (ATPIII p=0.009), having waist to height ratio ≥ 0.5 (ATPIII p=0.002; IDF p=0.000) and BMI ≥ 23kg/m2 (ATPIII p=0.000; IDF p=0.000). With nearly 1/5th of the BPO employees having MetS at a young age (21-30 years), there is an urgent need to initiate appropriate workplace screening and intervention strategies to prevent and reverse the syndrome among them.

Keywords

Metabolic Syndrome, ATPIII, IDF, Young Adults, Business Process Outsourcing Industry, Non-Communicable Disease.
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  • National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). 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 III) final report. Circulation, 2002, 106, 3143-3421.

  • Lee, L. and Sanders, R. Metabolic syndrome. Pediat. Rev., 2012, 33, 459-468.

  • Steinberger, J., Daniels, S., Eckel, R., Hayman, L., Lustig, R., McCrindle, B. and MietusSnyder, M. Progress and challenges in metabolic syndrome in children and adolescents: A scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism. Circulation, 2009, 119, 628-647.

  • Jessup, A. and Harrell, J. The metabolic syndrome: look for it in children and adolescents, too!. Clin. Diab., 2005, 23, 26-32.

  • Kuruvilla, S. and Ranganathan, A. Globalisation and outsourcing: confronting new human resource challenges in India’s business process outsourcing industry. Indus. Rel. J., 2010, 41, 136-153.

  • Varley, H. Varley’s Practical Clinical Biochemistry. 6th ed. London: Heinemann Medical Books, 1988, 447-448.

  • Trinder, P. Determination of blood glucose using an oxidase- peroxidase system with a non-carcinogenic chromogen. J. Clin. Path., 1969, 22, 158-161.

  • Ulijaszek, S. and Lourie, J. Intra- and inter-observer error in anthropometric measurement. In: S. Ulijaszek and G. Mascie-Taylor, ed., Anthropometry - The Individual and the Population, 1st ed. Cambridge: Cambridge University Press, 1994.

  • Ashwell, M., Gunn, P. and Gibson, S. Waist-to height ratio is a better screening tool than waist circumference and BMI for adult cardio metabolic risk factors: systematic review and meta-analysis. Obes. Rev., 2011, 13, 275-286.

  • Gallagher, D., Heymsfield, S., Heo, M., Jebb, S., Murgatroyd, P. and Sakamoto, Y. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. Am. J. Clin. Nutr., 2000, 72, 694-701.

  • Björck, L. and Thelle, D. Physical activity in the prevention and treatment of disease. 2010, 349-446.

  • Kokkinos, P. and Fernhall, B. Physical activity and high density lipoprotein cholesterol levels. Sports. Med., 1999, 28, 307-314.

  • International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome, 2005. [online] Available at: http://www.idf.org/webdata/docs/ Metabolic_syndrome_definition.pdf [Accessed 12 Mar. 2016].

  • Reddy, K., Prabhkaran, D., Chaturvedi, V., Jeemon, P., Thankappan, K., Ramakrishnan, L., Mohan, B., Pandav, C., Ahmed, F., Joshi, P., Meera, R., Amin, R., Ahuja, R., Das, M. and Jaison, T. Methods for establishing a surveillance system for cardiovascular diseases in Indian industrial populations. Bull. WHO., 2006, 84, 461-469.

  • Rosengren, A., Anderson, K. and Wilhelmsen, L. Risk of coronary heart disease in middleaged male bus and tram drivers compared to men in other occupations: A prospective study. Int. J. Epidemiol., 1991, 20, 82-87.

  • Saberi, H., Moravveji, A., Fakharian, E., Kashani, M., Dehdashti, A. Prevalence of metabolic syndrome in bus and truck drivers in Kashan, Iran. Diabetol. Metab. Syndr., 2011, 3, 8.

  • Kim, E. and Oh, S. Gender differences in the association of occupation with metabolic syndrome in Korean adults. Kor. J. Obes., 2012, 21, 108.

  • Leon-Latre, M., Andrés, E., Cordero, A., Pascual, I., Vispe, C., Laclaustra, M., Luengo, E. and Casasnovas, J. Relationship between metabolic syndrome and ischemic heart disease mortality in spain. Revista Española de Cardiología (English Edition), 2009, 62, 1469-1472.

  • Wang, X., Yang, F., Bots, M., Guo, W., Zhao, B., Hoes, A. and Vaartjes, I. Prevalence of the Metabolic syndrome among employees in Northeast China. Chin. Med. J., 2015, 128, 19891993.

  • Ford, E., Giles, W. and Dietz, W. Prevalence of the metabolic syndrome among US adults: findings from the third national health and nutrition examination survey. Obs. Gynec. Sur., 2002, 57, 576-577.

  • Rantala, A., Kauma, H., Lilja, M., Savolainen, M., Reunanen, A. and Kesaniemi, Y. Prevalence of the metabolic syndrome in drug-treated hypertensive patients and control subjects. J. Intern. Med., 1999, 245, 163-174.

  • Bonora, E., Kiechl, S., Willeit, J., Oberhollenzer, F., Egger, G., Targher, G., Alberiche, M., Bonadonna, R. and Muggeo, M. Prevalence of insulin resistance in metabolic disorders: the bruneck study. Diabetes., 1998, 47, 1643-1649.

  • Li, Z., Xu, G. and Xia, T. Prevalence rate of metabolic syndrome and dyslipidemia in a large professional population in Beijing. Atherosclerosis., 2006, 184, 188-192.

  • Dallongeville, J., Cottel, D., Ferrieres, J., Arveiler, D., Bingham, A., Ruidavets, J., Haas, B., Ducimetiere, P. and Amouyel, P. Household income is associated with the risk of metabolic syndrome in a sex-specific manner. Diab. Care., 2005, 28, 409-415.

  • Ishizaka, N., Ishizaka, Y., Toda, E., Hashimoto, H., Nagai, R. and Yamakado, M. Hypertension is the most common component of metabolic syndrome and the greatest contributor to carotid arteriosclerosis in apparently healthy japanese individuals. Hyper. Res., 2005, 28, 27-34.

  • Hu, F., Meigs, J., Li, T., Rifai, N. and Manson, J. Inflammatory markers and risk of developing type 2 diabetes in women. Diabetes., 2004, 53, 693-700.

  • Kamble, P., Deshmukh, P. and Garg, N. Metabolic syndrome in adult population of rural Wardha, central India. Ind. J. Med. Res., 2010, 132, 701-705.

  • Mangat, C., Goel, N., Walia, D., Agarwal, N., Sharma, M., Kaur, J., Singh, R. and Singh, G. Metabolic Syndrome: a challenging health issue in highly urbanized union territory of North India. Diabetol. Metab. Syndr., 2010, 2, 19.

  • Gupta, R., Deedwania, P., Gupta, A., Rastogi, S., Panwar, R. and Kothari, K. Prevalence of metabolic syndrome in an Indian urban population. Int. J. Cardiol., 2004a, 97, 257-261.

  • Gupta, R., Sarna, M., Thanvi, J., Rastogi, P., Kaul, V. and Gupta, V. High prevalence of multiple coronary risk factors in Punjabi Bhatia community: Jaipur Heart Watch-3. Ind. Heart. J., 2004b, 56, 646-652.

  • Ervin, R. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity and body mass index: United States, 2003–2006. National Health Statistics Reports. Hyattsville, MD: National Center for Health Statistics, 2009.

  • Chandalia, M., Abate, N., Garg, A., Stray-Gundersen, J. and Grundy, S. Relationship between generalized and upper body obesity to insulin resistance in asian Indian men. J. Clin. Endo. Metabol., 1999, 84, 2329-2335.

  • Dvorak, R., DeNino, W., Ades, P. and Poehlman, E. Phenotypic characteristics associated with insulin resistance in metabolically obese but normal-weight young women. Diabetes., 1999, 48, 2210-2214.

  • Ruderman, N., Chisholm, D., Pi-Sunyer, X. and Schneider, S. The metabolically obese, normal-weight individual revisted. Diabetes., 1998, 47, 699.

  • Usha, S., Chandrika, N., Shetty, H. and Reena, R. A study of the components of metabolic syndrome in young adults. Biomed. Res., 2014, 25, 45-50.

  • Manjunath, D., Uthappa, C., Kattula, S., Allam, R., Chava, N. and Oruganti, G. Metabolic syndrome among urban Indian young adults: prevalence and associated risk factors. Metab. Syndr. Relat. Disord., 2014, 12, 381-389.

  • Jain, J., Rao, T., Desmukh, P., Banait, S. Prevalence and correlates of metabolic syndrome in young population: A cross sectional study. J. Diabetes. Metab., 2015, 6, 503.

  • Sawant, A., Mankeshwar, R., Shah, S., Raghavan, R., Dhongde, G., Raje, H., D’souza, S., Subramanium, A., Dhairyawan, P., Todur, S. and Ashavaid, T. Prevalence of metabolic syndrome in urban India. Cholesterol., 2011, 1-7.

  • Sharifi, F., Mousavinasab, S., Saeini, M. and Dinmohammadi, M. Prevalence of metabolic syndrome in an adult urban population of the West of Iran. Exp. Diab. Res., 2009, 1-5.

  • Hildrum, B., Mykletun, A., Hole, T., Midthjell, K. and Dahl, A. Age-specific prevalence of the metabolic syndrome defined by the International Diabetes Federation and the National Cholesterol Education Program: the Norwegian HUNT 2 study. BMC. Pub. Health., 2007, 7, 220.

  • Loucks, E., Magnusson, K., Cook, S., Rehkopf, D., Ford, E. and Berkman, L. Socioeconomic position and the metabolic syndrome in early, middle, and late life: Evidence from NHANES 1999–2002. Ann. Epidemiol., 2007, 17, 782-790.

  • Park, M., Yun, K., Lee, G., Cho, H. and Park, H. A cross-sectional study of socioeconomic status and the metabolic syndrome in Korean adults. Ann. Epidemiol., 2007, 17, 320-326.

  • Kim, M., Mykletun, A., Hole, T., Midthjell, K. and Dahl, A. Educational disparities in the metabolic syndrome in a rapidly changing society—the case of South Korea. Int. J. Epidemiol., 2005, 34, 1266-1273.

  • Brunner, E., Marmot, M., Nanchahal, K., Shipley, M., Stansfeld, S., Juneja, M. and Alberti, K. Social inequality in coronary risk: Central obesity and the metabolic syndrome. Evidence from the Whitehall II study. Diabetol., 1997, 40, 1341-1349.

  • Du, S., Mroz, T., Zhai, F. and Popkin, B. Rapid income growth adversely affects diet quality in China - Particularly for the poor! Soc. Sci. Med., 2004, 59, 1505-1515.

  • Grundy, S., Cleeman, J., Daniels, S., Donato, K., Eckel, R., Franklin, B., Gordon, D., Krauss, R., Savage, P., Smith Jr, S., Spertus, J. and Costa, F. Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation., 2005, 112, 2735-2752.

  • Perel, P., Langenberg, C., Ferrie, J., Moser, K., Brunner, E. and Marmot, M. Household wealth and the metabolic syndrome in the Whitehall II Study. Diab. Care., 2006, 29, 2694-2700.

  • Misra, A. and Vikram, N. Factors, definitions, predictive value and Asian Indian ethnicity: complexities of the metabolic syndrome. Ind. J. Med. Res., 2008, 127, 293-296.


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  • Metabolic Syndrome among Young Business Process Outsourcing Industry Employees

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Authors

Ravinder Chadha
University of Delhi, Lady Irwin College, Department of Food and Nutrition, New Delhi, India
Renuka Pathak
University of Delhi, Lady Irwin College, Department of Food and Nutrition, New Delhi, India
Ishu Kataria
University of Delhi, Lady Irwin College, Department of Food and Nutrition, New Delhi, India

Abstract


Metabolic Syndrome (MetS) is a complicated disorder that increases a person's risk to cardiovascular disease and diabetes mellitus and therefore, needs to be diagnosed early. Young adults in business process outsourcing industry (BPO) may be more susceptible to the syndrome owing to the sedentary nature of their work and other lifestyle factors. This study aimed at assessing the prevalence of MetS among young business process outsourcing industry employees (21-30 years). In this cross-sectional study conducted in the National Capital Region of India, MetS was diagnosed using the Adult Treatment Pattern III (NCEP ATPIII, 2001) and International Diabetes Federation (IDF, 2005) (ethnicity specific) criteria among 415 business process outsourcing employees (274 males; 141 females) working at the calling level. Prevalence of MetS was 11.8% according to ATPIII criteria (14.6% males; 6.4% females) and 18.3% according to IDF criteria (22.3% males; 10.6% females) and was significantly higher in males compared to females (ATPIII p = 0.014; 95% CI 0.02, 0.14; IDF:p = 0.004; 95% CI 0.05, 0.19). As per the ATPIII criteria, highest proportion of the employees had low levels of HDL cholesterol (48.2%) whereas as per the IDF criteria, they had high waist circumference (58.6%). MetS was significantly associated with being single (ATPIII p=0.003; IDF p=0.012), having monthly income more than 20,000 INR (ATPIII p=0.009), having waist to height ratio ≥ 0.5 (ATPIII p=0.002; IDF p=0.000) and BMI ≥ 23kg/m2 (ATPIII p=0.000; IDF p=0.000). With nearly 1/5th of the BPO employees having MetS at a young age (21-30 years), there is an urgent need to initiate appropriate workplace screening and intervention strategies to prevent and reverse the syndrome among them.

Keywords


Metabolic Syndrome, ATPIII, IDF, Young Adults, Business Process Outsourcing Industry, Non-Communicable Disease.

References





DOI: https://doi.org/10.21048/ijnd.2016.53.3.5299