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BMC Public Health
Published in: BMC Public Health 1/2016

Open Access 01-12-2016 | Research article

An assessment study of CVD related risk factors in a tribal population of India

Authors: Vani Kandpal, M. P. Sachdeva, K. N. Saraswathy

Published in: BMC Public Health | Issue 1/2016

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Abstract

Background

Non communicable diseases (NCDs) have become a major concern for global health. Cardiovascular diseases (CVDs) contribute 48 % towards the deaths due to NCDs in India. Though studies have been conducted in urban and rural areas, data related to tribal communities is limited. The present study aims to examine various CVD related risk factors including hypertension, elevated fasting blood glucose, obesity and metabolic syndrome among a tribal population.

Methods

The present study was an observational, cross- sectional study conducted on Rang Bhotias, a tribal population of India. The participants were adults of age between 20 and 60 years. Prior to blood sample collection, interview schedule was administered which included relevant information like age, lifestyle, socio-economic status, education and occupation In addition to this, various anthropometric and physiological measurements were taken. Logistic regression was used to examine the association of the various health disorders related to CVDs with age, gender and behavioural factors (smoking, alcohol consumption and physical activity).

Results

A total of 288 participants were surveyed for the study including 104 males and 184 females. High BMI (56.6 %), hypertension (43.4 %), metabolic syndrome (39.2 %) and abdominal obesity (33.7 %) were the most prevalent CVD risk factors observed in the population. The multivariate logistic regression analysis, conducted to examine the contribution of risk factors including behavioural risk factors on the studied abnormalities, revealed age to be a significant risk factor for all the abnormalities except elevated fasting blood glucose. Gender and physical inactivity contributed significantly towards development of hypertension. Physical inactivity was also found to be associated with high BMI levels.

Conclusion

In the present study, hypertension, high BMI levels, MS and abdominal obesity have been found to be high among the studied population. The status of the population with respect to these abnormalities implicates susceptibility of the community towards various common disorders. The prevention and treatment intervention programs should be implemented taking into consideration age and gender.
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Literature
1.
2.
Patel V, Chatterji S, Chisholm D, Ebrahim S, Gopalakrishna G, Mathers C, et al. Chronic diseases and injuries in India. Lancet. 2011;377:413–28.CrossRefPubMed
3.
Bhagyalaxmi A, Atul T, Shikha J. Prevalence of Risk Factors of Non-communicable Diseases in a District of Gujarat, India. J Health Popul Nutr. 2013;31(1):78–85.CrossRefPubMedPubMedCentral
4.
Lavanya KM, Thomas V, Rao N, Usha Rani KM. Cardiovascular Risk Factors Among Adults – A Cross Sectional Study In Urban Slums of Hyderabad, Andhra Pradesh, India. Int J Med Health Sci. 2014;3(4):272–7.
5.
Gupta R, Guptha S, Sharma KK, Gupta A, Deedwania P. Regional variations in cardiovascular risk factors in India: India heart watch. World J Cardiol. 2012;4(4):112–20.CrossRefPubMedPubMedCentral
6.
Balagopal PB, de Ferranti SD, Cook S, Daniels SR, Gidding SS, Hayman LL, McCrindle BW, Mietus-Snyder ML, Steinberger J. Nontraditional risk factors and biomarkers for cardiovascular disease: mechanistic, research, and clinical considerations for youth: a scientific statement from the American Heart Association. Circulation. 2011;123(23):2749–69.
7.
8.
9.
Gautam Kumar K. Changing Perspectives of Tribal Health in the Context of Increasing Lifestyle Diseases in India. J Environ Soc Sci. 2014;1(1):101.
10.
Rizwan SA, Kumar R, Singh AK, Kusuma YS, Yadav K, et al. Prevalence of Hypertension in Indian Tribes: A Systematic Review and Meta-Analysis of Observational Studies. PLoS ONE. 2014;9(5):e95896.CrossRefPubMedPubMedCentral
11.
National Institute of Medical Statistics, Indian Council of Medical Research (ICMR). IDSP Non-Communicable Disease Risk Factors Survey, Phase-I States of India, 2007-08. New Delhi: National Institute of Medical Statistics and Division of Non-Communicable Diseases, Indian Council of Medical Research; 2009.
12.
Manimunda SP, Sugunan AP, Benegal V, Balakrishna N, Rao MV, Pesala KS. Association of hypertension with risk factors and hypertension related behaviour among the aboriginal Nicobarese tribe living in Car Nicobar Island, India. Indian J Med Res. 2011;133:287–93.PubMedPubMedCentral
13.
Mandani B, Vaghani B, Gorasiya M, Patel P. Epidemiological factors associated with hypertension among tribal population in Gujarat. Natl J Community Med. 2011;2(1):133–5.
14.
Meshram, Arlappa N, Balkrishna N, Rao KM, Laxmaiah A, Brahmam GNV. Prevalence of hypertension, its correlates and awareness among adult tribal population of Kerala state, India. J Postgrad Med. 2012;58(4):255–61.CrossRefPubMed
15.
Hathur B, Basavegowda M, Ashok NC. Hypertension: An emerging threat among tribal population of Mysore; Jenu Kuruba tribe diabetes and hypertension study. Int J Health Allied Sci. 2013;2:270–4.CrossRef
16.
Meshram II, Laxmaiah A, Mallikharjun RK, et al. Prevalence of hypertension and its correlates among adult tribal population (≥20 years) of Maharashtra State, India. Int J Health Sci Res. 2014;4(1):130–9.
17.
Misra PJ, Mini GK, Thankappan KR. Risk factor profile for non-communicable diseases among Mishing tribes in Assam, India: Results from a WHO STEPs survey. Indian J Med Res. 2014;140:370–8.PubMedPubMedCentral
18.
Sarkar S, Das M, Mukhopadhyay B, Chakrabarti CS, Majumder PP. High prevalence of metabolic syndrome & its correlates in two tribal populations of India & the impact of urbanization. Indian J Med Res. 2006;123(5):679–86.PubMed
19.
Bhardwaj AK, Kumar D, Raina SK, Bansal P, Bhushan S, Chander V.Community Based Assessment of Biochemical Risk Factors for Cardiovascular Diseases in Rural and Tribal Area of Himalayan Region, India. Biochemistry Research International 2013; doi: 10.​1155/​2013/​696845.
20.
Kapoor D, Bhardwaj AK, Kumar D, Raina S.K.Prevalence of Diabetes Mellitus and Its Risk Factors among Permanently Settled Tribal Individuals in Tribal and Urban Areas in Northern State of Sub-Himalayan Region of India. International Journal of Chronic Diseases. 2014, doi: 10.​1155/​2014/​380597.
21.
Bergmann C, Gerwin M, Nüsser M, Sax WS. Living in a High Mountain Border Region: the Case of the ‘Bhotiyas’ of the Indo-Chinese Border Region. J Mt Sci. 2008;5:209–17.CrossRef
22.
Bhatt D, Joshi GC, Tiwari LM. Culture, Habitat and Ethno-Medicinal practices by Bhotia Tribe people of Dharchula Region of Pithoragarh District in Kumaun Himalaya, Uttarakhand. Ethnobot Leafl. 2009;13:975–83.
23.
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112:2735–52.CrossRefPubMed
24.
Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo Jr JL, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289(19):2560–72.
25.
WHO/IASO/IOTF. The Asia –Pacific perspective: redefining obesity and its treatment. Melbourne: Health Communication Austrailia; 2000.
26.
Sachdev B. Prevalence of hypertension and associated risk factors among Nomad Tribe groups. Antrocom Online J Anthropol. 2011;7(2):1973–2880.
27.
Kusuma YS, Babu BV, Naidu JM. Prevalence of hypertension in some cross-cultural populations of Visakhapatnam district, South India. Ethn Dis. 2004;14:250–9.PubMed
28.
Desai A, Tandon N. Challenges in prevention and management of diabetes mellitus and metabolic syndrome in India. Curr Sci. 2009;97(3):356–66.
29.
Upadhyay RP, Misra P, Chellaiyan VG, Das TK, Adhikary M, Chinnakali P, Yadav K, Sinha S. Burden of diabetes mellitus and prediabetes in tribal population of India: a systematic review. Diabetes Res Clin Pract. 2013;102(1):1–7.CrossRefPubMed
30.
31.
Gautam RK, Adak DK. Nutrition and Genetic Variation among Central Indian tribes. In: Tribal health;Proceedings of national symposium, 2006 Oct 19–20. Organized by Regional Medical Research Centre for Tribals, Indian Council of Medical Research, National Family and Health Survey 2005–06. Jaipur. 2006.
32.
Bandana S. Diet and lifestyle: its association with cholesterol levels among Nomad tribal populations of Rajasthan. Int J Med Biomed Res. 2012;1(2):124–30.CrossRef
33.
Misra A, Khurana L. Obesity and the metabolic syndrome in developing nations. J Clin Endocrinol Metab. 2008;93:S9–S30.CrossRefPubMed
34.
Florêncio TT, Ferreira HS, Cavalcante JC, Stux GR, Sawaya AL. Short stature, abdominal obesity, insulin resistance and alterations in lipid profile in very low-income women living in Maceió, north-eastern Brazil. Eur J Cardiovasc Prev Rehabil. 2007;14(2):346–8.CrossRefPubMed
35.
Kaur P, Radhakrishnan E, Rao SR, Sankarasubbaiyan S, RaoT V, Gupte MD. The Metabolic Syndrome and Associated Risk Factors in an Urban Industrial Male Population in South India. J Assoc Physicians India. 2010;58:363–6. 371.PubMed
36.
Prasad DS, Kabir Z, Dash AK, Das BC. Prevalence and risk factors for metabolic syndrome in Asian Indians: A community study from urban Eastern India. J Cardiovasc Dis Res. 2012;3:204–11.CrossRefPubMedPubMedCentral
37.
Pathania D, Bunger R, Mishra P, Pathak R, Arora A. A Study to Assess Prevalence of Metabolic Syndrome and its Socio Demographic Risk Factors in Rural Area of District Ambala, Haryana. J Community Med Health Educ. 2013;3:223.CrossRef
38.
Lokanath DA, Chandrashekariah SA, Xaviour D, Rao J. The Incidence and Alliance of Metabolic Syndrome with Cardiovascular Risk Markers among Kodavas. Open J Endocr Metab Dis. 2014;4:158–66.CrossRef
39.
Ismail IM, Azeez K, Antomy A, Kunnummal SV. Metabolic syndrome and its associated factors among the adult population residing in Kannavam tribal area of Kannur District, Kerala. Trop J Med Res. 2016;19:36–41.CrossRef
40.
41.
Laxmaiah A et al. Socio-Economic & Demographic Determinants of Hypertension & Knowledge, Practices & Risk Behaviour of Tribals in India. Indian J Med Res. 2015;141(5):697–708.PubMedPubMedCentral
42.
Wareham NJ, Wong MY, Hennings S, Mitchell J, Rennie K, Cruickshank K, Day NE. Quantifying the association between habitual energy expenditure and blood pressure. Int J Epidemiol. 2000;29:655–60.CrossRefPubMed
43.
Whelton SP, Chin A, Xin X, He J. Effect of aerobic exercise on blood pressure: a meta-analysis of randomized, controlled trials. Ann Intern Med. 2002;136:493–503.CrossRefPubMed
44.
Midha T, Idris MZ, Saran RK, Srivastav AK, Singh SK. Prevalence and determinants of hypertension in the urban and. rural population of a north Indian district. East Afr J Public Health. 2009;6(3):268–73.PubMed
45.
Thankappan KR, Shah B, Mathur P, Sarma PS, Srinivas G, Mini GK, Daivadanam M, Soman B, Vasan RS. Risk factor profile for chronic non-communicable diseases: results of a community-based study in Kerala, India. Indian J Med Res. 2010;131:53–63.PubMed
46.
Bhadoria AS, Kasar PK, Toppo NA, Bhadoria P, Pradhan S, Kabirpanthi V. Prevalence of hypertension and associated cardiovascular risk factors in Central India. J Family Community Med. 2014;21(1):29–38.CrossRefPubMedPubMedCentral
47.
Mohan V, Sandeep S, Deepa R, Shah B, Varghese C. Epidemiology of type 2 diabetes: Indian scenario. Indian J Med Res. 2007;125(3):217–30.PubMed
48.
Läärä E, Rantakallio P. Body size and mortality in women: a 29 year follow up of 12,000 pregnant women in northern Finland. J Epidemiol Community Health. 1996;50:408–14.CrossRefPubMedPubMedCentral
49.
Molarius A, Seidell JC, Sans S, Tuomilehto J, Kuulasmaa K. Waist and hip circumferences, and waist–hip ratio in 19 populations of the WHO MONICA Project. Int J Obes Relat Metab Disord. 1999;23:116–25.CrossRefPubMed
50.
Lahti-Koski M, Pietinen P, Männistö S, Vartiainen E. Trends in waist-to-hip ratio and its determinants in adults in Finland from 1987 to 1997. Am J Clin Nutr. 2000;72:1436–44.PubMed
51.
Mungreiphy NK, Kapoor S, Sinha R, “Association between BMI, Blood Pressure, and Age: Study among Tangkhul Naga Tribal Males of Northeast India,” Journal of Anthropology. 2011, doi: 10.​1155/​2011/​748147
52.
Laitinen J, Pietiläinen K, Wadsworth M, Sovio U, Järvelin MR. Predictors of abdominal obesity among 31-y-old men and women born in Northern Finland in 1966. Eur J Clin Nutr. 2004;58(1):180–90.CrossRefPubMed
53.
Parsons TJ, Manor O, Power C. Physical activity and change in body mass index from adolescence to mid-adulthood in the 1958 British cohort. Int J Epidemiol. 2006;35(1):197–204.CrossRefPubMed
54.
Hildrum B, Mykletun A, Hole T, Midthjell K, Dahl AA. Age-specific prevalence of the MS defined by the IDF and national cholesterol education program: the Norwegian HUNT 2 study. BMC Publ Health. 2007;7:220.CrossRef
55.
Kasiulevičius V, Šapoka V, Filipavičiūtė R. Sample size calculation in epidemiological studies. Gerontologija. 2006;7(4):225–31.
Metadata
Title
An assessment study of CVD related risk factors in a tribal population of India
Authors
Vani Kandpal
M. P. Sachdeva
K. N. Saraswathy
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3106-x

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