IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0244559.html
   My bibliography  Save this article

Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016

Author

Listed:
  • Rufi Shaikh
  • Junaid Khan

Abstract

Introduction: Individual’s early life style and health behaviors are directly linked to chronic non-communicable diseases. Considering the increased burden of NCDs during the last two decades, the aim of this study is to assess co-occurrence/clustering of lifestyle risk factors and its association with different socio-demographic and economic characteristics among adult men and women in India from 2005–2016. Methods: This study utilized the data from the National Family Health Survey 2005–06 and 2015–16 survey rounds. Multinomial logistic regression is employed to evaluate co-occurrence of multiple risk factors among adult men and women of different socio-economic and demographic characteristics to identify the subgroups with elevated risk of clustering of multiple unhealthy lifestyle risk factors. Results: More adult men in India tend to exhibit clustering of multiple non-communicable disease risk factors than females. Individuals between 30–49 years of age, residing in urban areas, the population with no education, separated couples and those from poor economic strata are the specific population subgroups show higher prevalence of co-occurrence of multiple risk factors. The regional pattern of clustering of risk factors shows that the prevalence of co-occurrence of multiple risk factors is higher among men and women from the North-Eastern part of India compared to the other regions of the country. Conclusion: The prevalence of clustering of multiple risk factors associated with chronic NCDs is substantially high and has increased between 2005–06 to 2015–16. India may therefore experience a significant increase in the burden of chronic non-communicable diseases in the coming years. We therefore conclude that appropriate strategies should be implemented by policy makers and the government to reduce the overall health burden of NCDs due to lifestyle habits.

Suggested Citation

  • Rufi Shaikh & Junaid Khan, 2021. "Clustering of lifestyle risk factors among adult population in India: A cross-sectional analysis from 2005 to 2016," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-13, January.
  • Handle: RePEc:plo:pone00:0244559
    DOI: 10.1371/journal.pone.0244559
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244559
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0244559&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0244559?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ford, E.S. & Zhao, G. & Tsai, J. & Li, C., 2011. "Low-Risk lifestyle behaviors and all-cause mortality: Findings from the national health and nutrition examination survey III mortality study," American Journal of Public Health, American Public Health Association, vol. 101(10), pages 1922-1929.
    Full references (including those not matched with items on IDEAS)

    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. Lindsay C. Kobayashi & Sarah Frank & Carlos Riumallo-Herl & David Canning & Lisa Berkman, 2019. "Socioeconomic gradients in chronic disease risk behaviors in a population-based study of older adults in rural South Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(1), pages 135-145, January.
    2. Tetyana Pudrovska & Benedicta Anikputa, 2014. "Editor's choice Early-Life Socioeconomic Status and Mortality in Later Life: An Integration of Four Life-Course Mechanisms," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(3), pages 451-460.
    3. Gong, Jie & Lu, Yi & Xie, Huihua, 2020. "The average and distributional effects of teenage adversity on long-term health," Journal of Health Economics, Elsevier, vol. 71(C).
    4. Caterina Trevisan & Giulia Capodaglio & Eliana Ferroni & Ugo Fedeli & Marianna Noale & Giovannella Baggio & Enzo Manzato & Stefania Maggi & Maria Chiara Corti & Giuseppe Sergi, 2022. "Cardiovascular risk profiles and 20-year mortality in older people: gender differences in the Pro.V.A. study," European Journal of Ageing, Springer, vol. 19(1), pages 37-47, March.
    5. Inhwan Lee & Shinuk Kim & Hyunsik Kang, 2019. "Lifestyle Risk Factors and All-Cause and Cardiovascular Disease Mortality: Data from the Korean Longitudinal Study of Aging," IJERPH, MDPI, vol. 16(17), pages 1-11, August.
    6. Rongrong Zhang & Song Liu & Ming Li & Xiong He & Chunshan Zhou, 2021. "The Effect of High-Density Built Environments on Elderly Individuals’ Physical Health: A Cross-Sectional Study in Guangzhou, China," IJERPH, MDPI, vol. 18(19), pages 1-22, September.
    7. Hagger, Martin S. & Polet, Juho & Lintunen, Taru, 2018. "The reasoned action approach applied to health behavior: Role of past behavior and tests of some key moderators using meta-analytic structural equation modeling," Social Science & Medicine, Elsevier, vol. 213(C), pages 85-94.
    8. Bich Tran & Michael O Falster & Kirsty Douglas & Fiona Blyth & Louisa R Jorm, 2014. "Health Behaviours and Potentially Preventable Hospitalisation: A Prospective Study of Older Australian Adults," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-9, April.
    9. Huoyun, Zhu & Shilong, Ma & Zhaoqi, Li & Huiqin, Xia, 2023. "Early socioeconomic status, social mobility and cognitive trajectories in later life: A life course perspective," Economics & Human Biology, Elsevier, vol. 50(C).
    10. Sarah R. Dash & Erin Hoare & Pia Varsamis & Garry L. R. Jennings & Bronwyn A. Kingwell, 2019. "Sex-Specific Lifestyle and Biomedical Risk Factors for Chronic Disease among Early-Middle, Middle and Older Aged Australian Adults," IJERPH, MDPI, vol. 16(2), pages 1-13, January.
    11. Regina Frei & Sarah R Haile & Margot Mutsch & Sabine Rohrmann, 2015. "Relationship of Serum Vitamin D Concentrations and Allostatic Load as a Measure of Cumulative Biological Risk among the US Population: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-17, October.
    12. Ulrich John & Monika Hanke & Jennis Freyer-Adam, 2018. "Health Risk Behavior Patterns in a National Adult Population Survey," IJERPH, MDPI, vol. 15(5), pages 1-12, April.
    13. Mahdi Vajdi & Leila Nikniaz & Asghar Mohammad Pour Asl & Mahdieh Abbasalizad Farhangi, 2020. "Lifestyle patterns and their nutritional, socio-demographic and psychological determinants in a community-based study: A mixed approach of latent class and factor analyses," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-16, July.
    14. Needham, Belinda L. & Adler, Nancy & Gregorich, Steven & Rehkopf, David & Lin, Jue & Blackburn, Elizabeth H. & Epel, Elissa S., 2013. "Socioeconomic status, health behavior, and leukocyte telomere length in the National Health and Nutrition Examination Survey, 1999–2002," Social Science & Medicine, Elsevier, vol. 85(C), pages 1-8.
    15. Michael McCrea & Mark Farrell, 2018. "A Conceptual Model for Pricing Health and Life Insurance Using Wearable Technology," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 21(3), pages 389-411, December.
    16. Kathleen E. Burns & Ashok Chaurasia & Valerie Carson & Scott T. Leatherdale, 2021. "Examining If Changes in the Type of School-Based Intramural Programs Affect Youth Physical Activity over Time: A Natural Experiment Evaluation," IJERPH, MDPI, vol. 18(5), pages 1-14, March.

    More about this item

    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:plo:pone00:0244559. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.