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Use of Online Food Delivery Services to Order Food Prepared Away-From-Home and Associated Sociodemographic Characteristics: A Cross-Sectional, Multi-Country Analysis

Author

Listed:
  • Matthew Keeble

    (UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB22 0QQ, UK)

  • Jean Adams

    (UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB22 0QQ, UK)

  • Gary Sacks

    (Global Obesity Centre, Deakin University, Geelong VIC 3220, Australia)

  • Lana Vanderlee

    (School of Nutrition, Université Laval, Quebec, QC G1V 0A6, Canada)

  • Christine M. White

    (School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • David Hammond

    (School of Public Health and Health Systems, Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Thomas Burgoine

    (UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB22 0QQ, UK)

Abstract

Online food delivery services like Just Eat and Grubhub facilitate online ordering and home delivery of food prepared away-from-home. It is poorly understood how these services are used and by whom. This study investigated the prevalence of online food delivery service use and sociodemographic characteristics of customers, in and across Australia, Canada, Mexico, the UK, and the USA. We analyzed online survey data ( n = 19,378) from the International Food Policy Study, conducted in 2018. We identified respondents who reported any online food delivery service use in the past 7 days and calculated the frequency of use and number of meals ordered. We investigated whether odds of any online food delivery service use in the past 7 days differed by sociodemographic characteristics using adjusted logistic regression. Overall, 15% of respondents ( n = 2929) reported online food delivery service use, with the greatest prevalence amongst respondents in Mexico ( n = 839 (26%)). Online food delivery services had most frequently been used once and the median number of meals purchased through this mode of order was two. Odds of any online food delivery service use were lower per additional year of age (OR: 0.95; 95% CI: 0.94, 0.95) and greater for respondents who were male (OR: 1.50; 95% CI: 1.35, 1.66), that identified with an ethnic minority (OR: 1.57; 95% CI: 1.38, 1.78), were highly educated (OR: 1.66; 95% CI: 1.46, 1.90), or living with children (OR: 2.71; 95% CI: 2.44, 3.01). Further research is required to explore how online food delivery services may influence diet and health.

Suggested Citation

  • Matthew Keeble & Jean Adams & Gary Sacks & Lana Vanderlee & Christine M. White & David Hammond & Thomas Burgoine, 2020. "Use of Online Food Delivery Services to Order Food Prepared Away-From-Home and Associated Sociodemographic Characteristics: A Cross-Sectional, Multi-Country Analysis," IJERPH, MDPI, vol. 17(14), pages 1-17, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5190-:d:386240
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    References listed on IDEAS

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    Cited by:

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    2. Priyanka Mitra & Yanwu Zhang & Bijon Kumer Mitra & Rajib Shaw, 2023. "Assessment of Impacts and Resilience of Online Food Services in the Post-COVID-19 Era," Sustainability, MDPI, vol. 15(17), pages 1-17, September.
    3. Reham M. Algheshairy & Raghad M. Alhomaid & Mona S. Almujaydil & Hend F. Alharbi & Woroud A. Alsanei, 2022. "Influence of Using Food Delivery Applications on Adult Saudi Female Dietary Habits and Preferences during COVID-19 Lockdown Restrictions: Attitude Survey," IJERPH, MDPI, vol. 19(19), pages 1-14, October.
    4. Dey, Bikash Koli & Sarkar, Mitali & Chaudhuri, Kripasindhu & Sarkar, Biswajit, 2023. "Do you think that the home delivery is good for retailing?," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    5. Zhang, Shanqi & Luan, Hui & Zhen, Feng & Kong, Yu & Xi, Guangliang, 2023. "Does online food delivery improve the equity of food accessibility? A case study of Nanjing, China," Journal of Transport Geography, Elsevier, vol. 107(C).
    6. Nurul Labanihuda Abdull Rahman, 2022. "A Review and Bibliometric Analysis of Online Food Delivery by Using Scopus Database ," GATR Journals jmmr303, Global Academy of Training and Research (GATR) Enterprise.
    7. Meena, Purushottam & Kumar, Gopal, 2022. "Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

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