Randomized Control Trial for Reduction of Body Weight, Body Fat Patterning, and Cardiometabolic Risk Factors in Overweight Worksite Employees in Delhi, India

Usha Shrivastava, Mahrukh Fatma, Smriti Mohan, Padam Singh, Anoop Misra, Usha Shrivastava, Mahrukh Fatma, Smriti Mohan, Padam Singh, Anoop Misra

Abstract

Background: We studied the impact of the multicomponent interventions on body weight and cardiometabolic risk factors in overweight individuals working in corporate worksites.

Methods: Overweight (BMI ≥ 23 kg/m2) subjects were recruited from four randomised worksites [two active intervention (n, recruited, 180, completed 156) and two control (n, recruited 130, completed 111)]. Intensive intervention was given at intervention worksite.

Results: High prevalence (%) of obesity (90.9, 80.2), abdominal obesity (93.5, 84.3), excess skinfold thickness (70.3, 75.9), and low high-density lipoprotein cholesterol (HDL-c) levels (56.8, 63.7) were seen in the intervention and the control group, respectively. At the end of intervention, the following significant changes were observed in the intervention group: decrease in weight, BMI, waist circumference, serum triglycerides, and increase in HDL-c. Weight loss of more than 5% was seen in 12% and 4% individuals in the intervention and control groups, respectively. Most importantly, the sum of all the skinfold measurements (mm) in the intervention group decreased significantly more than the control group (12.51 ± 10.38 versus 3.50 ± 8.18, resp.).

Conclusion: This multicomponent worksite trial showed a reduction in weight, excess subcutaneous fat, and cardiometabolic risk factors after 6 months of active intervention in overweight Asian Indians.

Trial registration: This trial is registered with NCT03249610.

Figures

Figure 1
Figure 1
Screening and recruitment. ∗See text for assessment details. ∗∗See text for methodology of interventions.
Figure 2
Figure 2
Changes in absolute values of skinfold thickness and sum of skinfolds after intervention. All the values are significant ∗Central skinfold is the sum of subscapular and suprailiac skinfolds, peripheral skinfold is the sum of biceps and triceps skinfolds, and the sum of skinfolds is the sum of all the 4 skinfolds (∑4SF, biceps, triceps, subscapular, and suprailiac).
Figure 3
Figure 3
Changes in clustering of risk factors comprising metabolic syndrome before and after intervention. All the values are in the percentage. Please see text for definitions of risk factors.
Figure 4
Figure 4
Change in physical activity profile after intervention. Showing physical activity profile. (a) Preintervention in intervention group (n, 85). (b) Postintervention in the intervention group (n, 80) (c) Preintervention in the control group (n, 85). (d) Postintervention in the control group (n, 80).
Figure 5
Figure 5
Changes in dietary profile after intervention. Showing dietary profile. (a) Preintervention in the intervention group (n, 38). (b) Postintervention in the intervention group (n, 25). (c) Preintervention in the control group (n, 38). (d) Postintervention in the control group (n, 25).

References

    1. Misra A., Khurana L. Obesity-related non-communicable diseases: South Asians vs White Caucasians. International Journal of Obesity. 2011;35(2):167–187. doi: 10.1038/ijo.2010.135.
    1. Misra A., Shrivastava U. Obesity and dyslipidemia in South Asians. Nutrients. 2013;5(7):2708–2733. doi: 10.3390/nu5072708.
    1. Gupta R., Misra A., Vikram N. K., et al. Younger age of escalation of cardiovascular risk factors in Asian Indian subjects. BMC Cardiovascular Disorders. 2009;9(1):p. 28. doi: 10.1186/1471-2261-9-28.
    1. Gulati S., Misra A. Abdominal obesity and type 2 diabetes in Asian Indians: dietary strategies including edible oils, cooking practices and sugar intake. European Journal of Clinical Nutrition. 2017;71(7):850–857. doi: 10.1038/ejcn.2017.92.
    1. Shrivastava U., Misra A., Gupta R., Viswanathan V. Socioeconomic factors relating to diabetes and its management in India. Journal of Diabetes. 2016;8(1):12–23. doi: 10.1111/1753-0407.12316.
    1. Kaur P., Rao T. V., Sankarasubbaiyan S., et al. Prevalence and distribution of cardiovascular risk factors in an urban industrial population in South India: a cross-sectional study. The Journal of the Association of Physicians of India. 2007;55:771–776.
    1. Anderson L. M., Quinn T. A., Glanz K., et al. The effectiveness of worksite nutrition and physical activity interventions for controlling employee overweight and obesity: a systematic review. American Journal of Preventive Medicine. 2009;37(4):340–357. doi: 10.1016/j.amepre.2009.07.003.
    1. Misra A., Chowbey P., Makkar B. M., et al. Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management. The Journal of the Association of Physicians of India. 2009;5:163–170.
    1. Misra A., Sharma R., Gulati S., et al. Consensus dietary guidelines for healthy living and prevention of obesity, the metabolic syndrome, diabetes, and related disorders in Asian Indians. Diabetes Technology & Therapeutics. 2011;13(6):683–694. doi: 10.1089/dia.2010.0198.
    1. Misra A., Nigam P., Hills A. P., et al. Consensus physical activity guidelines for Asian Indians. Diabetes Technology & Therapeutics. 2012;14(1):83–98. doi: 10.1089/dia.2011.0111.
    1. Thimmayamma B. V. S., Rau P. Diet survey methods. In: BVS T., editor. Handbook of Schedule and Guidelines in Socio-Economic and Diet Survey. National Institute of Nutrition, Indian Council of Medical Research: New Delhi; 1987.
    1. Misra P., Upadhyay R. P., Krishnan A., Sharma N., Kapoor S. K. A community based study to test the reliability and validity of physical activity measurement techniques. International Journal of Preventive Medicine. 2014;5(8):952–959.
    1. Misra A., Pandey R. M., Devi J. R., Sharma R., Vikram N. K., Khanna N. High prevalence of diabetes, obesity and dyslipidemia in urban slum population of Northern India. International Journal of Obesity. 2001;25(11):1722–1729. doi: 10.1038/sj.ijo.0801748.
    1. Friedewald W. T., Levy R. I., Fredrickson D. S. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical Chemistry. 1972;18(6):499–502.
    1. Misra A., Madhavan M., Vikram N. K., Pandey R. M., Dhingra V., Luthra K. Simple anthropometric measures identify fasting hyperinsulinemia and clustering of cardiovascular risk factors in Asian Indian adolescents. Metabolism. 2006;55(12):1569–1573. doi: 10.1016/j.metabol.2006.06.029.
    1. American Diabetes Association. Classification and diagnosis of diabetes. Diabetes Care. 2017;40(Supplement 1):S11–S24. doi: 10.2337/dc17-S005.
    1. Alberti K. G., Eckel R. H., Grundy S. M., et al. 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. 2009;120(16):1640–1645. doi: 10.1161/CIRCULATIONAHA.109.192644.
    1. Sorensen G., Pednekar M., Cordeira L. S., et al. Effects of a worksite tobacco control intervention in India: the Mumbai worksite tobacco control study, a cluster-randomised trial. Tobacco Control. 2017;26(2):210–216. doi: 10.1136/tobaccocontrol-2015-052671.
    1. Prabhakaran D., Jeemon P., Goenka S., et al. Impact of a worksite intervention program on cardiovascular risk factors: a demonstration project in an Indian industrial population. Journal of the American College of Cardiology. 2009;53(18):1718–1728. doi: 10.1016/j.jacc.2008.12.062.
    1. Kar S. S., Subitha L., Kalaiselvi S., Archana R. Development and implementation of healthy workplace model in a selected industry of Puducherry, South India. Indian Journal of Occupational & Environmental Medicine. 2015;19(1):25–29. doi: 10.4103/0019-5278.157003.
    1. Haffner S. M., Stern M. P., Hazuda H. P., Rosenthal M., Knapp J. A., Malina R. M. Role of obesity and fat distribution in non-insulin-dependent diabetes mellitus in Mexican Americans and non-Hispanic whites. Diabetes Care. 1986;9(2):153–161. doi: 10.2337/diacare.9.2.153.
    1. Haffner S. M., Stern M. P., Hazuda H. P., Pugh J., Patterson J. K. Do upper-body and centralized adiposity measure different aspects of regional body-fat distribution? Relationship to non-insulin-dependent diabetes mellitus, lipids, and lipoproteins. Diabetes. 1987;36(1):43–51. doi: 10.2337/diabetes.36.1.43.
    1. Chandalia M., Abate N., Garg A., Stray-Gundersen J., Grundy S. M. Relationship between generalized and upper body obesity to insulin resistance in Asian Indian men. The Journal of Clinical Endocrinology & Metabolism. 1999;84(7):2329–2335. doi: 10.1210/jcem.84.7.5817.
    1. Goel R., Misra A., Kondal D., et al. Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules. Clinical Endocrinology. 2009;70(5):717–724. doi: 10.1111/j.1365-2265.2008.03409.x.
    1. Bhatt S. P., Misra A., Nigam P., Guleria R., Pasha M. A. Phenotype, body composition, and prediction equations (Indian fatty liver index) for non-alcoholic fatty liver disease in non-diabetic Asian Indians: a case-control study. PLoS One. 2015;10(11, article e0142260) doi: 10.1371/journal.pone.0142260.
    1. Chandalia M., Lin P., Seenivasan T., et al. Insulin resistance and body fat distribution in south Asian men compared to Caucasian men. PLoS One. 2007;2(8, article e812) doi: 10.1371/journal.pone.0000812.
    1. Munoz A., Abate N., Chandalia M. Adipose tissue collagen and inflammation in nonobese Asian Indian men. The Journal of Clinical Endocrinology & Metabolism. 2013;98(8):E1360–E1363. doi: 10.1210/jc.2012-3841.
    1. Rana J. S., Liu J. Y., Moffet H. H., et al. Metabolic dyslipidemia and risk of coronary heart disease in 28,318 adults with diabetes mellitus and low-density lipoprotein cholesterol <100 mg/dl. The American Journal of Cardiology. 2015;116(11):1700–1704. doi: 10.1016/j.amjcard.2015.08.039.
    1. Okada T., Sato Y., Yamazaki H., et al. Relationship between fat distribution and lipid and apolipoprotein profiles in young teenagers. Acta Paediatrica Japonica. 1998;40(1):35–40. doi: 10.1111/j.1442-200x.1998.tb01399.x.

Source: PubMed

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