IDEAS home Printed from https://ideas.repec.org/a/spr/ssefpa/v12y2020i2d10.1007_s12571-020-01015-0.html
   My bibliography  Save this article

Prevalence and correlates of household food insecurity in Delhi and Chennai, India

Author

Listed:
  • Garima Rautela

    (Centre for Chronic Disease Control)

  • Mohammed K. Ali

    (Rollins School of Public Health, Emory University)

  • Dorairaj Prabhakaran

    (Centre for Chronic Disease Control
    Public Health Foundation of India)

  • K.M. Venkat Narayan

    (Rollins School of Public Health, Emory University)

  • Nikhil Tandon

    (All India Institute of Medical Sciences)

  • Viswanathan Mohan

    (Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre)

  • Lindsay M. Jaacks

    (Harvard T.H. Chan School of Public Health)

Abstract

India is home to nearly 200 million undernourished people, yet little is known about the characteristics of those experiencing food insecurity, especially among urban households. The objectives of this study were: (1) to report the prevalence of food insecurity in two large, population-based representative samples in urban India, (2) to describe socio-economic correlates of food insecurity in this context, and (3) to compare the dietary intake of adults living in food insecure households to that of adults living in food secure households. Data are from 4334 households participating in an ongoing population-based cohort study of a representative sample of Delhi and Chennai, India. The most recent wave of data (2017–2018) were analyzed. Food insecurity was measured using the 9-item Household Food Insecurity Access Scale (HFIAS) and dietary intake using a 33-item qualitative food frequency questionnaire. The overall prevalence of food insecurity was 8.5% (95% confidence interval [CI], 6.8–10.2); 15.2% (95% CI 12.0–18.4) of the poorest households (lowest wealth index tertile) were food insecure compared to 1.7% (95% CI 1.0–2.3) of the wealthiest households (highest wealth index tertile). Participants experiencing food insecurity were significantly younger and more likely to be from Delhi compared to Chennai. After adjustment for socio-economic factors (city, age, sex, education, wealth index, fuel used for cooking, and source of drinking water), participants experiencing food insecurity had significantly higher meat, poultry, roots and tubers (potato), and sugar sweetened beverage intakes, and lower vegetables, fruit, dairy, and nut intakes. Food insecurity is highly prevalent among the poorest households in urban India and is associated with intake of a number of unhealthy dietary items.

Suggested Citation

  • Garima Rautela & Mohammed K. Ali & Dorairaj Prabhakaran & K.M. Venkat Narayan & Nikhil Tandon & Viswanathan Mohan & Lindsay M. Jaacks, 2020. "Prevalence and correlates of household food insecurity in Delhi and Chennai, India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 391-404, April.
  • Handle: RePEc:spr:ssefpa:v:12:y:2020:i:2:d:10.1007_s12571-020-01015-0
    DOI: 10.1007/s12571-020-01015-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12571-020-01015-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12571-020-01015-0?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Siddharth Agarwal & Vani Sethi & Palak Gupta & Meenakshi Jha & Ayushi Agnihotri & Mark Nord, 2009. "Experiential household food insecurity in an urban underserved slum of North India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(3), pages 239-250, September.
    2. Gowda, C. & Hadley, C. & Aiello, A.E., 2012. "The association between food insecurity and inflammation in the US adult population," American Journal of Public Health, American Public Health Association, vol. 102(8), pages 1579-1586.
    3. Kim, Jaehoon & Kim, Sangsin, 2015. "2012년 국회법 개정의 효과 연구 [A Study on the Effect of the 2012 National Assembly Act Amendment]," KDI Research Monographs, Korea Development Institute (KDI), volume 127, number v:2015-03(k):y:2015:p:1-1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sayed Alim Samim & Zhiquan Hu & Sebastian Stepien & Sayed Younus Amini & Ramin Rayee & Kunyu Niu & George Mgendi, 2021. "Food Insecurity and Related Factors among Farming Families in Takhar Region, Afghanistan," Sustainability, MDPI, vol. 13(18), pages 1-17, September.
    2. Lindsay M. Jaacks & Divya Veluguri & Rajesh Serupally & Aditi Roy & Poornima Prabhakaran & GV Ramanjaneyulu, 2021. "Impact of the COVID-19 pandemic on agricultural production, livelihoods, and food security in India: baseline results of a phone survey," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(5), pages 1323-1339, October.

    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. Bomi Nomlala, 2021. "Financial Socialisation of Accounting Students in South Africa," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 01-15, April.
    2. Jonathan Knuckey & Myunghee Kim, 2020. "The Politics of White Racial Identity and Vote Choice in the 2018 Midterm Elections," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1584-1599, July.
    3. Obi K. Echendu & Imyhamy M. Dharmadasa, 2015. "Graded-Bandgap Solar Cells Using All-Electrodeposited ZnS, CdS and CdTe Thin-Films," Energies, MDPI, vol. 8(5), pages 1-20, May.
    4. Martin Gassebner & Jerg Gutmann & Stefan Voigt, 2016. "When to expect a coup d’état? An extreme bounds analysis of coup determinants," Public Choice, Springer, vol. 169(3), pages 293-313, December.
    5. Giuseppe A Zito & Roland Wiest & Selma Aybek, 2020. "Neural correlates of sense of agency in motor control: A neuroimaging meta-analysis," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-17, June.
    6. Young Bum Kim & Seung Hee Lee, 2022. "Gender Differences in Correlates of Loneliness among Community-Dwelling Older Koreans," IJERPH, MDPI, vol. 19(12), pages 1-11, June.
    7. Niki Koutrou, 2018. "The Impact of the 2010 Women’s Rugby World Cup on Sustained Volunteering in the Rugby Community," Sustainability, MDPI, vol. 10(4), pages 1-20, March.
    8. Seo-Hee Park & Byung-Jin Park & Dong-Hyuk Jung & Yu-Jin Kwon, 2019. "Association between Household Food Insecurity and Asthma in Korean Adults," IJERPH, MDPI, vol. 16(12), pages 1-11, June.
    9. Ebetürk, Irem, 2021. "Global diffusion of laws: The case of minimum age of marriage legislation, 1965–2015," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(3), pages 294-328.
    10. Mahendar Goli & Anoop Kumar Sahu & Surajit Bag & Pavitra Dhamija, 2023. "Users' Acceptance of Artificial Intelligence-Based Chatbots: An Empirical Study," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 19(1), pages 1-18, January.
    11. Yang Gyeong Yoo & Min Jeong Lee & Boas Yu & Mi Ra Yun, 2019. "The Effect of Mind Subtraction Meditation on Smartphone Addiction in School Children," Global Journal of Health Science, Canadian Center of Science and Education, vol. 11(10), pages 1-16, September.
    12. Mutlu Yuksel Avcilar & Akin Alkevli, 2017. "The Antecedents of Mobile Repurchasing Intentions: An Empirical Investigation among Turkish Mobile Shoppers," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 105-105, February.
    13. Qing-feng Ma & Chang-biao Chu & Hai-qing Song, 2015. "Intravenous versus Intra-Arterial Thrombolysis in Ischemic Stroke: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-13, January.
    14. Ya-Ling Lin & Wen-Yi Chen & Shwn-Huey Shieh, 2020. "Age Structural Transitions and Copayment Policy Effectiveness: Evidence from Taiwan’s National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    15. Randall Morck & Bernard Yeung, 2017. "East Asian Financial and Economic Development," NBER Working Papers 23845, National Bureau of Economic Research, Inc.
    16. Ourega-Zoé Ejebu & Stephen Whybrow & Lynda Mckenzie & Elizabeth Dowler & Ada L Garcia & Anne Ludbrook & Karen Louise Barton & Wendy Louise Wrieden & Flora Douglas, 2018. "What can Secondary Data Tell Us about Household Food Insecurity in a High-Income Country Context?," IJERPH, MDPI, vol. 16(1), pages 1-17, December.
    17. Feng, Xuehao & Moon, Ilkyeong & Ryu, Kwangyeol, 2014. "Revenue-sharing contracts in an N-stage supply chain with reliability considerations," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 20-29.
    18. Anastasia Kazun & Anton Kazun, 2017. "A Friend Who Was Supposed to Lose: How Donald Trump Was Portrayed in the Russian Media?," HSE Working papers WP BRP 51/PS/2017, National Research University Higher School of Economics.
    19. Cristian Badarinza & John Y. Campbell & Tarun Ramadorai, 2016. "International Comparative Household Finance," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 111-144, October.
    20. Marie Neergaard Harder & Emil Vincent Rosenbaum Appel & Niels Grarup & Anette Prior Gjesing & Tarunveer S Ahluwalia & Torben Jørgensen & Cramer Christensen & Ivan Brandslund & Allan Linneberg & Thorki, 2015. "The Type 2 Diabetes Risk Allele of TMEM154-rs6813195 Associates with Decreased Beta Cell Function in a Study of 6,486 Danes," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.

    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:spr:ssefpa:v:12:y:2020:i:2:d:10.1007_s12571-020-01015-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.