IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/48678.html
   My bibliography  Save this paper

Association between obesity and selected morbidities: A study of BRICS

Author

Listed:
  • Ankita, Ankita Shukla
  • Kaushal, Kaushalendra Kumar
  • Abhishek, Abhishek Singh

Abstract

Context: Over the past few decades, obesity has reached epidemic proportions, and is a major contributor to the global burden of chronic diseases and disability. There is little evidence on obesity related co-morbidities in BRICS countries. Objectives: The first objective is to examine the factors associated with overweight and obesity in four of the five BRICS countries (China, India, Russia and South Africa). The second is to examine the linkage of obesity with selected morbidities. Methods: We used data from the Study on Global Ageing and Adult Health (SAGE) survey conducted in China, India, Russia and South Africa during 2007-10. Respondents with a body mass index (BMI)>= 25 but = 30 as obese. Bivariate analysis, binary logistic regression and multinomial logistic regression are used in the analysis. The morbidities included in the analysis are Hypertension, Diabetes, Angina, Stroke, Arthritis and Depression. Results: The prevalence of obesity was highest in South Africa (35%) followed by Russia (27%), China (5%) and India (3%). The prevalence of obesity was significantly higher in females as compared to males in all the countries. While the wealth quintile was significantly associated with obesity in India, Russia and South Africa, engaging in work requiring physical activity was significantly associated with obesity in China and South Africa. Overweight/obesity was significantly associated with morbidities such as Hypertension, Angina, Diabetes and Arthritis in all the four countries. In comparison, overweight/obesity was not associated with Stroke and Depression in any of the four countries included in the analysis. Conclusion: The data demonstrates a high prevalence of obesity in South Africa and Russia. Overweight/obesity was significantly associated with Hypertension, Angina, Diabetes and Arthritis.

Suggested Citation

  • Ankita, Ankita Shukla & Kaushal, Kaushalendra Kumar & Abhishek, Abhishek Singh, 2013. "Association between obesity and selected morbidities: A study of BRICS," MPRA Paper 48678, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:48678
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/48678/1/MPRA_paper_48678.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. #HEJC papers for September 2013
      by academichealtheconomists in The Academic Health Economists' Blog on 2013-09-01 04:01:38

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    2. Angus Deaton & Jean Dreze, 2008. "Nutrition in India: Facts and Interpretations," Working Papers 1071, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    3. Cornelie Nienaber-Rousseau & Olusola F. Sotunde & Patricia O. Ukegbu & P. Hermanus Myburgh & Hattie H. Wright & Lize Havemann-Nel & Sarah J. Moss & Iolanthé M. Kruger & H. Salomé Kruger, 2017. "Socio-Demographic and Lifestyle Factors Predict 5-Year Changes in Adiposity among a Group of Black South African Adults," IJERPH, MDPI, vol. 14(9), pages 1-16, September.
    4. Kumar, Kaushalendra & Shukla, Ankita & Singh, Abhishek & Ram, Faujdar & Kowal, Paul, 2016. "Association between wealth and health among older adults in rural China and India," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 43-52.
    5. Winters, P. & Kafle, K. & Benfica, R., 2018. "IFAD RESEARCH SERIES 21 - Does relative deprivation induce migration? Evidence from sub-Saharan Africa," IFAD Research Series 280070, International Fund for Agricultural Development (IFAD).
    6. Langyintuo, Augustine S. & Mungoma, Catherine, 2008. "The effect of household wealth on the adoption of improved maize varieties in Zambia," Food Policy, Elsevier, vol. 33(6), pages 550-559, December.
    7. Ravi Prakash & Abhishek Singh, 2014. "Who Marries Whom? Changing Mate Selection Preferences in Urban India and Emerging Implications on Social Institutions," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(2), pages 205-227, April.
    8. Samikshya Poudel & Timothy Dobbins & Husna Razee & Blessing Akombi-Inyang, 2023. "Adolescent Pregnancy in South Asia: A Pooled Analysis of Demographic and Health Surveys," IJERPH, MDPI, vol. 20(12), pages 1-14, June.
    9. Tuccio, Michele & Wahba, Jackline & Hamdouch, Bachir, 2016. "International Migration: Driver of Political and Social Change?," IZA Discussion Papers 9794, Institute of Labor Economics (IZA).
    10. Pritchett, Lant & Sumarto, Sudarno & Suryahadi, Asep, 2001. "Targeted Programs in an Economic Crisis: Empirical Findings from Indonesia’s Experience," MPRA Paper 58727, University Library of Munich, Germany.
    11. Derek Headey & David Stifel & Liangzhi You & Zhe Guo, 2018. "Remoteness, urbanization, and child nutrition in sub‐Saharan Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 765-775, November.
    12. Barik, Debasis & Desai, Sonalde & Vanneman, Reeve, 2018. "Economic Status and Adult Mortality in India: Is the Relationship Sensitive to Choice of Indicators?," World Development, Elsevier, vol. 103(C), pages 176-187.
    13. Laetitia Duval & François-Charles Wolff, 2016. "Emigration intentions of Roma: evidence from Central and South-East Europe," Post-Communist Economies, Taylor & Francis Journals, vol. 28(1), pages 87-107, January.
    14. Antonia Grohmann & Lukas Menkhoff & Helke Seitz, 2022. "The Effect of Personalized Feedback on Small Enterprises’ Finances in Uganda," Economic Development and Cultural Change, University of Chicago Press, vol. 70(3), pages 1197-1227.
    15. Paschalis Arvanitidis & Athina Economou & Christos Kollias, 2016. "Terrorism’s effects on social capital in European countries," Public Choice, Springer, vol. 169(3), pages 231-250, December.
    16. Christopher H. Herbst & Monique Vledder & Karen Campbell & Mirja Sjöblom & Agnes Soucat, 2011. "The Human Resources for Health Crisis in Zambia : An Outcome of Health Worker Entry, Exit, and Performance within the National Health Labor Market," World Bank Publications - Books, The World Bank Group, number 5938.
    17. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    18. Pulkit Sharma & Achut Manandhar & Patrick Thomson & Jacob Katuva & Robert Hope & David A. Clifton, 2019. "Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    19. Janz, Teresa & Augsburg, Britta & Gassmann, Franziska & Nimeh, Zina, 2023. "Leaving no one behind: Urban poverty traps in Sub-Saharan Africa," World Development, Elsevier, vol. 172(C).
    20. Wang, Fa, 2017. "Maximum likelihood estimation and inference for high dimensional nonlinear factor models with application to factor-augmented regressions," MPRA Paper 93484, University Library of Munich, Germany, revised 19 May 2019.

    More about this item

    Keywords

    overweight; obesity; hypertension; diabetes; angina; stroke; arthritis; depression; BRICS;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:48678. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.