Skip to main content

Advertisement

Log in

Socioeconomic patterning of chronic conditions and behavioral risk factors in rural South Asia: a multi-site cross-sectional study

  • Original Article
  • Published:
International Journal of Public Health

Abstract

Objectives

Our aim was to examine relationships between markers of socioeconomic status and chronic disease risks in rural South Asia to understand the etiology of chronic diseases in the region and identify high-risk populations.

Methods

We examined data from 2271 adults in Chennai, Goa and Matlab sites of the Chronic Disease Risk Factor study in South Asia. We report age–sex adjusted odds ratios for risk factors (tobacco, alcohol, fruit–vegetable use and physical activity) and common chronic conditions (hypertension, diabetes, overweight, depression, impaired lung and vision) by education, occupation and wealth.

Results

Respondents with greater wealth and in non-manual professions were more likely to be overweight [OR = 2.48 (95% CI 1.8,3.38)] and have diabetes [OR = 1.88 (95% CI 1.02,3.5)]. Wealth and education were associated with higher fruit and vegetable [OR = 1.89 (95% CI 1.48,2.4)] consumption but lower physical activity [OR = 0.52 (95% CI 0.39,0.69)]. Non-manual workers reported lower tobacco and alcohol use, while wealthier respondents reported better vision and lung function.

Conclusions

Ongoing monitoring of inequalities in chronic disease risks is needed for planning and evaluating interventions to address the growing burden of chronic conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Abegunde DO, Mathers CD, Adam T et al (2007) The burden and costs of chronic diseases in low-income and middle-income countries. Lancet 370(9603):1929–1938

    Article  PubMed  Google Scholar 

  • Allender S, Lacey B, Webster P et al (2010) Level of urbanization and noncommunicable disease risk factors in Tamil Nadu, India. Bull World Health Organ 88(4):297–304

    Article  PubMed  Google Scholar 

  • Babor TF, De La Fuente JR, Saunders JB, Grant M (1989) AUDIT—The alcohol use disorders identification test: Guidelines for use in primary health care. World Health Organization, Geneva

  • Beaglehole R, Bonita R, Horton R et al (2011a) Priority actions for the non-communicable disease crisis. Lancet 377(9775):1438–1447

    Article  PubMed  Google Scholar 

  • Beaglehole R, Bonita R, Alleyne G et al (2011b) UN high-level meeting on non-communicable diseases: addressing four questions. Lancet 378(9789):449–455

    Article  PubMed  Google Scholar 

  • Bhan N, Karan A, Srivastava S, Selvaraj S, Subramanian SV, Millett C (2016) Have socioeconomic inequalities in tobacco use in India increased over time? Trends from the national sample surveys (2000–2012). Nicot Tob Res 18(8):1711–1718

    Article  Google Scholar 

  • Bhojani U, Thriveni B, Devadasan R et al (2012) Out-of-pocket healthcare payments on chronic conditions impoverish urban poor in Bangalore, India. BMC Public Health 12:990. doi:10.1186/1471-2458-12-990

    Article  PubMed  PubMed Central  Google Scholar 

  • Bleich SN et al (2011) Non communicable chronic disease in Bangladesh: overview of existing programs and priorities going forward. Health Policy (Amst Neth) 100(2–3):282–289 (PMC. Web. 7 Jan. 2016.)

    Article  Google Scholar 

  • Ebrahim S, Kinra S, Bowen L et al (2010) The effect of rural-to-urban migration on obesity and diabetes in India: a cross-sectional study. PLoS Med 7(4):e1000268

    Article  PubMed  PubMed Central  Google Scholar 

  • Garg CC, Karan AK (2009) Reducing out-of-pocket expenditures to reduce poverty: a disaggregated analysis at rural-urban and state level in India. Health Policy Plan 24(2):116–128

    Article  PubMed  Google Scholar 

  • Ghaffar AK, Reddy KS, Singhi M (2004) Burden of non-communicable diseases in South Asia. BMJ 328(7443):807–810

    Article  PubMed  PubMed Central  Google Scholar 

  • GOI (2008) National program for prevention and control of cancer, diabetes, cardiovascular disease and stroke (NPCDCS). Ministry of Health and Family Welfare, Government of India. http://mohfw.nic.in/index1.php?lang=1&level=3&sublinkid=3627&lid=2194. Accessed 1 May 2016

  • GOI (2014) National mental health policy. Ministry of Health and Family Welfare, Government of India. http://www.mohfw.nic.in/index1.php?lang=1&level=2&sublinkid=4723&lid=2964. Accessed 1 May 2016

  • Hankinson JL, Odencratz JR, Fedan KB (1999) Spirometric reference values from a sample of the general US population. Am J Respir Crit Care Med 1999(159):179–187

    Article  Google Scholar 

  • Hawkes C (2006) Uneven dietary development: linking the policies and processes of globalization with the nutrition transition, obesity and diet-related chronic diseases. Glob Health 2(1):1

    Article  Google Scholar 

  • Howe LD, Hargreaves JR, Huttly SR (2008) Issues in the construction of wealth indices for the measurement of socio-economic position in low-income countries. Emerg Themes Epidemiol 5(1):3

    Article  PubMed  PubMed Central  Google Scholar 

  • IIPS. National family health survey (NFHS) 4. Factsheet Goa. http://rchiips.org/nfhs/pdf/NFHS4/GA_FactSheet.pdf. Accessed 1 May 2016

  • IIPS. National family health survey (NFHS) 4. Factsheet Tamil Nadu. http://rchiips.org/nfhs/pdf/NFHS4/TN_FactSheet.pdf. Accessed 1 May 2016

  • Ingle ST, Pachpande BG, Wagh ND et al (2005) Exposure to vehicular pollution and respiratory impairment of traffic policemen in Jalgaon City, India. Ind Health 43(4):656–662

    Article  CAS  PubMed  Google Scholar 

  • Jeemon P, Reddy KS (2010) Social determinants of cardiovascular disease outcomes in Indians. Indian J Med Res 132(5):617

    PubMed  PubMed Central  Google Scholar 

  • Katulanda P et al (2008) Prevalence and projections of diabetes and pre-diabetes in adults in Sri Lanka—Sri Lanka diabetes, cardiovascular study (SLDCS). Diabet Med 25(9):1062–1069

    Article  CAS  PubMed  Google Scholar 

  • Kroenke K, Spitzer RL, Williams JBW (2001) The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 16(9):606–613. doi:10.1046/j.1525-1497.2001.016009606.x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Leon DA (2008) Cities, urbanization and health. Int J Epidemiol 37(1):4–8

    Article  PubMed  Google Scholar 

  • McKay AJ, Laverty AA, Shridhar K et al (2015) Associations between active travel and adiposity in rural India and Bangladesh: a cross-sectional study. BMC Public Health 15(1):1

    Article  Google Scholar 

  • Millett C, Agrawal S, Sullivan R, Vaz M, Kurpad A, Bharathi AV, Prabhakaran D, Reddy KS, Kinra S, Smith GD, Ebrahim S (2013) Associations between active travel to work and overweight, hypertension, and diabetes in India: a cross-sectional study. PLoS medicine 10(6):e1001459

    Article  PubMed  PubMed Central  Google Scholar 

  • Mohan V, Mathur P, Deepa R et al (2008) Urban rural differences in prevalence of self-reported diabetes in India—the WHO–ICMR Indian NCD risk factor surveillance. Diabet Res Clin Pract 80(1):159–168

    Article  Google Scholar 

  • Narayan KV, Ali MK, Koplan JP (2010) Global non-communicable diseases—where worlds meet. N Engl J Med 363(13):1196–1198

    Article  CAS  PubMed  Google Scholar 

  • Oyebode O, Pape UJ, Laverty AA et al (2015) Rural, urban and migrant differences in non-communicable disease risk-factors in middle income countries: a cross-sectional study of WHO-SAGE data. PLoS One 10(4):e0122747

    Article  PubMed  PubMed Central  Google Scholar 

  • Patel V, Chatterji S, Chisholm D et al (2011) Chronic diseases and injuries in India. Lancet 377(9763):413–428

    Article  PubMed  Google Scholar 

  • Prabhakaran D, Jeemon P, Reddy KS (2013) Commentary: poverty and cardiovascular disease in India: do we need more evidence for action? Int J Epidemiol 42(5):1431–1435. doi:10.1093/ije/dyt119

    Article  PubMed  PubMed Central  Google Scholar 

  • Reddy KS, Shah B, Varghese C et al (2005) Responding to the threat of chronic diseases in India. Lancet 366(9498):1744–1749

    Article  Google Scholar 

  • Saunders JB, Aasland OG, Babor TF et al (1993) Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction 88(6):791–804

    Article  CAS  PubMed  Google Scholar 

  • Smith KR, Aggarwal AL, Dave RM (1983) Air pollution and rural biomass fuels in developing countries: a pilot village study in India and implications for research and policy. Atmos Environ (1967) 17(11):2343–2362

    Article  CAS  Google Scholar 

  • Subramanian SV, Nandy S, Irving M et al (2005) Role of socioeconomic markers and state prohibition policy in predicting alcohol consumption among men and women in India: a multilevel statistical analysis. Bull World Health Organ 83:829–836

    CAS  PubMed  PubMed Central  Google Scholar 

  • Subramanian SV, Corsi DJ, Subramanyam MA et al (2013) Jumping the gun: the problematic discourse on socioeconomic status and cardiovascular health in India. Int J Epidemiol 42(5):1410–1426

    Article  CAS  PubMed  Google Scholar 

  • Travasso SM, Rajaraman D, Heymann SJ (2014) A qualitative study of factors affecting mental health amongst low-income working mothers in Bangalore, India. BMC Womens Health 14(1):22

    Article  PubMed  PubMed Central  Google Scholar 

  • Vellakkal S, Subramanian SV, Millett C et al (2013) Socioeconomic inequalities in non-communicable diseases prevalence in India: disparities between self-reported diagnoses and standardized measures. Int J Epidemiol 8(7):e68219. doi:10.1371/journal.pone.0068219

    CAS  Google Scholar 

  • Vineis P, Stringhini S, Porta M (2014) The environmental roots of non-communicable diseases (NCDs) and the epigenetic impacts of globalization. Environ Res 133:424–430

    Article  CAS  PubMed  Google Scholar 

  • Vyas S, Kumaranayake L (2006) Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan 21(6):459–468

    Article  PubMed  Google Scholar 

  • WHO. The global physical activity questionnaire (GPAQ). Department of Chronic Diseases and Health Promotion. http://www.who.int/chp/steps/GPAQ/en/. Accessed Jan 2016

  • WHO. The WHO disability assessment schedule 2.0. http://www.who.int/classifications/icf/whodasii/en/. Accessed Jan 2016

  • Yusuf S, Ôunpuu S (2001) Tackling the growing epidemic of cardiovascular disease in South Asia. J Am Coll Cardiol 38(3):688–689

    Article  CAS  PubMed  Google Scholar 

  • Yusuf S, Reddy KS, Ôunpuu S et al (2001) Global burden of cardiovascular diseases part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation 104(22):2746–2753

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

NB was supported by PHFI-UKC Wellcome Trust Career Development Research Fellowship (2014-2016) as part of a Wellcome Trust Capacity Strengthening Strategic Award Extension phase grant awarded to the Public Health Foundation of India and a consortium of UK universities (WT084754/Z/08/A). CM is funded by an NIHR Research Professorship. The CDRF Study was funded by the Wellcome Trust Grant awarded to South Asia Network for Chronic Diseases at the Public Health Foundation of India. The project in Goa was conducted by Goa Medical College and Sangath

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nandita Bhan.

Ethics declarations

Conflict of interest

All authors declare that they have no conflict of interest.

Funding

The CDRF Study was funded by the Wellcome Trust Grant awarded to South Asia Network for Chronic Diseases at the Public Health Foundation of India.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 63 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bhan, N., Millett, C., Subramanian, S.V. et al. Socioeconomic patterning of chronic conditions and behavioral risk factors in rural South Asia: a multi-site cross-sectional study. Int J Public Health 62, 1019–1028 (2017). https://doi.org/10.1007/s00038-017-1019-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00038-017-1019-9

Keywords

Navigation