The Burden of Obesity and Hypertension Among a Vegetarian Ethnic Minority Community: A Study Among Jain's of Madhya Pradesh, India

Vaidehi Goswami
Research Scholar, Department of Anthropology, University of Delhi, Delhi-110007, India
Shivani Chandel
Associate Professor, Department of Anthropology, University of Delhi, Delhi-110007, India

Published 30-12-2023

Keywords

  • Hypertension,
  • Obesity,
  • Anthropometric variables,
  • Adult population

How to Cite

Goswami, V., & Chandel, S. (2023). The Burden of Obesity and Hypertension Among a Vegetarian Ethnic Minority Community: A Study Among Jain’s of Madhya Pradesh, India. International Journal of Kinanthropometry, 3(2), 36–44. https://doi.org/10.34256/ijk2325

Dimensions

Abstract

Introduction: The prevalence of obesity is increasing among children and adults worldwide. Obesity is one of the major risk factors for hypertension. Thus, the study aimed to document the prevalence of obesity, hypertension and their association with each other among the Jain community of Khurai town, Sagar District (Madhya Pradesh), India. Methods: Data was collected on 175 participants belonging to the age group of 20-59 years. Anthropometric measurements were taken and indices were calculated such as Body mass index, waist-hip ratio, and waist-height ratio to assess general and abdominal obesity. Blood pressure was recorded using a sphygmomanometer.  Results: The prevalence of overweight and obesity was found 25.71 percent and 9.71 percent. Whereas, 54.28 percent and 48.14 percent of participants were at risk for central obesity. The prevalence of hypertension was 41.14 percent. Obesity and hypertension were more prevalent among males, females were more overweight. Hypertension had a significant (p-value <0.01) positive correlation with anthropometric indices. Body Mass Index imposed highest significant increase risk (p-value <0.05) on hypertension. Conclusion: Jain adults had a high prevalence of overweight/obesity and hypertension despite of being vegetarian community. Therefore, more attention should be directed towards this community for the prevention, management, and treatment of non-communicable diseases.

References

  1. Agrawal, V.K., Bhalwar, R., Basannar, D.R. (2008). Prevalence and Determinants of Hypertension in a Rural Community. Medical journal, Armed Forces India, 64(1): 21–25. https://doi.org/10.1016/S0377-1237(08)80139-6
  2. Anchala, R., Kannuri, N.K., Pant, H., Khan, H., Franco, O.H., Di Angelantonio, E., Prabhakaran, D. (2014). Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. Journal of hypertension, 32(6): 1170–1177. https://doi.org/10.1097/HJH.0000000000000146
  3. Asemu, M.M., Yalew, A.W., Kabeta, N.D., Mekonnen, D. (2021). Prevalence and risk factors of hypertension among adults: A community-based study in Addis Ababa, Ethiopia. PLOS ONE, 16(4): e0248934. https://doi.org/10.1371/journal.pone.0248934
  4. Barnard, N.D., Levin, S.M., Yokoyama, Y. (2015). A systematic review and meta-analysis of changes in body weight in clinical trials of vegetarian diets. Journal of the Academy of Nutrition and Dietetics, 115(6): 954–969. https://doi.org/10.1016/j.jand.2014.11.016
  5. Bhatia, M., Dixit, P., Kumar, M., Dwivedi, L. K. (2022). Validity of self‐reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years. The Journal of Clinical Hypertension, 24(11): 1506-1515. https://doi.org/10.1111/jch.14542
  6. Bray, G.A., Frühbeck, G., Ryan, D.H., Wilding, J.P. (2016). Management of obesity. Lancet, 387(10031): 1947–1956. https://doi.org/10.1016/S0140-6736(16)00271-3
  7. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Evidence Report. National Institutes of Health. (1998). Obesity research, 6 Suppl 2, 51S–209S.
  8. Crawford, A.G., Cote, C., Couto, J., Daskiran, M., Gunnarsson, C., Haas, K., Haas S., Nigam S.C., Schuette R. (2010). Prevalence of obesity, type II diabetes mellitus, hyperlipidemia, and hypertension in the United States: Findings from the GE Centricity Electronic Medical Record database. Popul. Health Manag, 13:151–161. https://doi.org/10.1089/pop.2009.0039
  9. Das, S., Goswami, V., Chandel, S. (2023). Normal weight central obesity and hypertension in India: Cross-sectional finding from LASI, 2017-19. Nutrition, metabolism, and cardiovascular diseases: NMCD, 33(10): 1888–1898. https://doi.org/10.1016/j.numecd.2023.06.022
  10. Datta Banik S. (2014). Body mass index and blood pressure among men of three ethnic groups of Darjeeling, West Bengal, India. Ecology of food and nutrition, 53(3): 256–272. https://doi.org/10.1080/03670244.2013.814462.
  11. Dhall, M., Gupta, S., Bhuker, M., Sharma, P., Kapoor, S. (2011). Effectiveness of various anthropometric indices in prediction of cardiovascular risk among adult Jains. The Open Anthropology Journal, 4(1). http://dx.doi.org/10.2174/1874912701104010033
  12. Dun, Q., Xu, W., Fu, M., Wu, N., Moore, J. B., Yu, T., Li, X., Du, Y., Zhang, B., Wang, Q., Duan, Y., Meng, Z., Tian, S., Zou, Y. (2021). Physical Activity, Obesity, and Hypertension among Adults in a Rapidly Urbanised City. International journal of hypertension, 9982562. https://doi.org/10.1155/2021/9982562
  13. Global Burden of Disease Collaborative Network, Global Burden of Disease Study 2019 (GBD 2019) Results (2020, Institute for Health Metrics and Evaluation – IHME) https://vizhub.healthdata.org/gbd-results/
  14. Gupta R. (2004). Trends in hypertension epidemiology in India. Journal of human hypertension, 18(2): 73–78. https://doi.org/10.1038/sj.jhh.1001633
  15. Hall, J.E., Wang, Z., Hall, M.E. (2015). Obesity-induced hypertension: interaction of neurohumoral and renal mechanisms. Circulation Research, 116(6): 991. https://doi.org/10.1161/CIRCRESAHA.116.305697
  16. Hruby, A., Hu, F. B. (2015). The Epidemiology of Obesity: A Big Picture. PharmacoEconomics, 33(7): 673–689. https://doi.org/10.1007/s40273-014-0243-x
  17. Huang, R.Y., Huang, C.C., Hu, F.B., Chavarro, J.E. (2016). Vegetarian Diets and Weight Reduction: a Meta-Analysis of Randomized Controlled Trials. Journal of general internal medicine, 31(1): 109–116. https://doi.org/10.1007/s11606-015-3390-7
  18. Indian Council of Medical Research, Public Health Foundation of India, University of Washington, Institute for Health Metrics and Evaluation. India: Health of the Nation’s States: The India State-Level Disease Burden Initiative: Disease Burden Trends in the States of India, 1990 to 2016. 2017.
  19. International Institute for Population Science. International Institute for Population Sciences (IIPS) and ICF. (2021). National Family Health Survey (NFHS-5), 2019-21
  20. International Institute for Population Sciences. (2000) National Family Health Survey (NFHS-2), India, 1998–99, ORM Marco Calverton, Maryland, USA.
  21. International Institute for Population Sciences. (2009). National Family Health Survey (NFHS-3), India, 2005–06. Ministry of Health and Family Welfare Government of India
  22. International Institute for Population Sciences. National Family Health Survey (NFHS-4) 2015–16 India. International Institute for Population Sciences (IIPS) and ICF (2017).
  23. Jordan, J., Birkenfeld, A.L. (2016). Cardiometabolic crosstalk in obesity-associated arterial hypertension. Reviews in endocrine & metabolic disorders, 17(1): 19–28. https://doi.org/10.1007/s11154-016-9348-1
  24. Kapetanakis V.V., Rudnicka A.R., Wathern A.K., Lennon L., Papacosta O., Cook D.G., Wannamethee S.G., Whincup P.H., Owen C.G. (2014). Adiposity in early, middle and later adult life and cardiometabolic risk markers in later life; findings from the British regional heart study. PLoS ONE, 9: e114289. https://doi.org/10.1371/journal.pone.0114289
  25. Kelishadi, R., Pour, M. H., Sarraf-Zadegan, N., Sadry, G. H., Ansari, R., Alikhassy, H., & Bashardoust, N. (2003). Obesity and associated modifiable environmental factors in Iranian adolescents: Isfahan Healthy Heart Program - Heart Health Promotion from Childhood. Pediatrics international: official journal of the Japan Pediatric Society, 45(4), 435–442. https://doi.org/10.1046/j.1442-200x.2003.01738.x
  26. Kuwabara M., Kuwabara R., Niwa K., Hisatome I., Smits G., Roncal-Jimenez C.A., MacLean P.S., Yracheta J.M., Ohno M., Lanaspa M.A., Johnson, R.J., Jalal, D.I., (2018). Different Risk for Hypertension, Diabetes, Dyslipidemia, and Hyperuricemia According to Level of Body Mass Index in Japanese and American Subjects. Nutrients, 10(8):1011. https://doi.org/10.3390/nu10081011
  27. Lee, C-Y., Lin, W-T., Tsai, S., Hung, Y-C., Wu, P-W., Yang, Y-C., Chan, T-F., Huang, H.L., Weng Y.L., Chiu, Y-W., Huang, C-T., Lee, C.H. (2016). Association of Parental Overweight and Cardiometabolic Diseases and Pediatric Adiposity and Lifestyle Factors with Cardiovascular Risk Factor Clustering in Adolescents. Nutrients, 8(9): 567. https://doi.org/10.3390/nu8090567
  28. Leeder, S., Raymond, S., Greenberg, H., Liu, H. (2004). A race against time. The challenge of cardiovascular disease in developing economies, Columbia University, New York
  29. Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y., Survey Group, D.E. (2021). Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: Two national cross-sectional surveys. The Lancet Regional Health: Western Pacific, 15. https://doi.org/10.1016/j.lanwpc.2021.100227
  30. Lim, S.S., Vos, T., Flaxman, A.D., Danaei, G., Shibuya, K., Adair-Rohani, H., Amann, M., Anderson, H. R., Andrews, K. G., Aryee, M., Atkinson, C., Bacchus, L. J., Bahalim, A. N., Balakrishnan, K., Balmes, J., Barker-Collo, S., Baxter, A., Bell, M.L., Blore, J.D., Blyth, F.,Memish, Z.A. (2012). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet, 380(9859): 2224–2260. https://doi.org/10.1016/S0140-6736(12)61766-8
  31. Nauli, A.M., & Matin, S. (2019). Why Do Men Accumulate Abdominal Visceral Fat?. Frontiers in physiology, 10, 1486. https://doi.org/10.3389/fphys.2019.01486
  32. Noor, S.K., Fadlelseed, M.H.E., Bushara, S.O., Badi, S., Mohamed, O., Elmubarak, A., Kheir, M., Abubaker, N.E., Ahmed, M.H., Ahmed, M. (2023). Prevalence of obesity related hypertension among overweight or obese adults in River Nile State in Northern Sudan: a community based cross-sectional study. Cardiovascular Diagnosis and Therapy, 13: 384–394. https://doi.org/10.21037/cdt-22-473
  33. Norton, K. (2018). Standards for Anthropometry Assessment (4th edition). London: Routledge.
  34. Panda, P.S., Jain, K.K., Soni, G.P., Gupta, S.A., Dixit, S., Kumar, J. (2017). Prevalence of hypertension and its association with anthropometric parameters in adult population of Raipur city, Chhattisgarh, India. International Journal of Research in Medical Sciences, 5(5): 2120–2125. https://doi.org/10.18203/2320-6012.ijrms20171854
  35. Piqueras, P., Ballester, A., Durá-Gil, J.V., Martinez-Hervas, S., Redón, J., Real, J.T. (2021). Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.631179
  36. Proter, A., Ziou, S. (2022). Jain Diet Is It Worth All The Sacrifices?. Better me.
  37. Sandberg, K., Ji, H. (2012). Sex differences in primary hypertension. Biology of Sex Differences, 3(1): 7. https://doi.org/10.1186/2042-6410-3-7
  38. Saxena, P., Prakash D.A. (2014). Correlative study on hypertension and anthropometric parameters in rural population of Tehri- Garhwal. Indian Journal of Preventive & Social Medicine, 45(1-2): 36.
  39. Singh, R., Sinha, K.R., Mani, C., Singh, R., Pal. R. (2013). Burden and vulnerability of hypertension in a rural population of Patna, Bihar, India. South East Asia Journal of Public Health, 1(1): 2931-2939.
  40. Singh, S., Shankar, R., Singh, G.P. (2017). Prevalence and Associated Risk Factors of Hypertension: A Cross-Sectional Study in Urban Varanasi. International journal of hypertension, 5491838. https://doi.org/10.1155/2017/5491838
  41. Srinath Reddy, K., Shah, B., Varghese, C., Ramadoss, A. (2005). Responding to the threat of chronic diseases in India. Lancet (London, England), 366(9498): 1744–1749. https://doi.org/10.1016/S0140-6736(05)67343-6
  42. Starr, K.J. (2021). 6 facts about Jains in India. Coherent Digital.
  43. Suresh, D., Rai, N., Tiwari, R., Vishnoi, R. K. (2022). A community based cross-sectional study on prevalence of overweight and obesity among adult population of Jabalpur City, Madhya Pradesh, India. International Journal of Health Sciences, 6(S4): 4225–4235. https://doi.org/10.53730/ijhs.v6nS4.9521
  44. Thanglen, H., Maheo, L.M. (2022). Prevalence of obesity, hypertension, and its associated risk factors among chiru females of Manipur. Indian journal of public health, 66(1): 3–8. https://doi.org/10.4103/ijph.ijph_1481_21
  45. Vitale C, Fini M, Speziale G, Chierchia S. (2010). Gender differences in the cardiovascular effects of sex hormones. Fundamental @ Clinical Pharmacology, 24(6):675–685. https://doi.org/10.1111/j.1472-8206.2010.00817.x
  46. Vitale, C., Mendelsohn, M. E., Rosano, G. M. (2009). Gender differences in the cardiovascular effect of sex hormones. Nature reviews. Cardiology, 6(8): 532–542. https://doi.org/10.1038/nrcardio.2009.105
  47. Wang, Y., Chen, J., Wang, K., Edwards, C.L. (2006). Education as an important risk factor for the prevalence of hypertension and elevated blood pressure in Chinese men and women. Journal of human hypertension, 20(11): 898–900. https://doi.org/10.1038/sj.jhh.1002086
  48. Wani R.T. (2019). Socioeconomic status scales-modified Kuppuswamy and Udai Pareekh's scale updated for 2019. Journal of family medicine and primary care, 8(6): 1846–1849. https://doi.org/10.4103/jfmpc.jfmpc_288_19
  49. World Health Organization WHO (2021). Obesity and overweight. World Health Organization https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
  50. World Health Organization. (2011). Waist circumference and waist-hip ratio: report of a WHO expert consultation. World Health Organization, Geneva.
  51. World Health Organization. (2022) Noncommunicable diseases. World Health Organization, Geneva.
  52. World Health Organization. (2023). SDG Target 3.4 Non- communicable diseases and mental health. World Health Organization. Geneva.