Abstract
Purpose of Review
To describe the social, demographic, and health correlates of fast food (FF) consumption.
Recent Findings
There does not appear to be a consistent definition or measurement method for FF intake, which may limit attempts to synthesize findings. However, we did analyze results based on these varying measurements and found consistent results. While FF consumption is very common across all respondents, it is more frequent among those who are younger, Black, and male. FF consumption varies by income, with middle-income and wealthier people consuming more. Although increasingly common worldwide, FF consumption appears to vary based upon cultural norms. Immigrants may show FF intake more in line with the norms of their country of origin than their new environment. Employed individuals appear to consume more FF. This is especially true among highly educated women. Job-related factors, such as the type of work and a higher number of hours worked, are associated with higher FF consumption. Longitudinal studies have noted that increased FF intake predicts increased BMI and adiposity, predisposing those to lifestyle-derived illnesses.
Summary
Young Black men tend to consume the greatest amount of FF, even when they have university degrees and well-paying jobs. Sociodemographic factors, such as gender, education, employment, and race/ethnicity often interact and indicate greater specificity is needed into how FF consumption fits into lived context.
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References
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Mohammadbeigi A, Asgarian A, Moshir E, Heidari H, Afrashteh S, Khazaei S, et al. Fast food consumption and overweight/obesity prevalence in students and its association with general and abdominal obesity. J Prev Med Hyg. 2018;59(3):E236.
Ntarladima A-M, Karssenberg D, Poelman M, Grobbee DE, Lu M, Schmitz O, et al. Associations between the fast-food environment and diabetes prevalence in the Netherlands: a cross-sectional study. Lancet Planet Health. 2022;6(1):e29–39.
Poelman M, Strak M, Schmitz O, Hoek G, Karssenberg D, Helbich M, et al. Relations between the residential fast-food environment and the individual risk of cardiovascular diseases in The Netherlands: a nationwide follow-up study. Eur J Prev Cardiol. 2018;25(13):1397–405.
Stoś K, Rychlik E, Woźniak A, Ołtarzewski M, Jankowski M, Gujski M, et al. Prevalence and sociodemographic factors associated with overweight and obesity among adults in Poland: a 2019/2020 nationwide cross-sectional survey. Int J Environ Res Public Health. 2022;19(3):1502.
USDA Economic Research Service. Food Environment Atlas. 2023. Available from: https://www.ers.usda.gov/data-products/food-environment-atlas/.
Seale E, de Groh M, Greene-Finestone L. Fast food consumption in adults living in Canada: alternative measurement methods, consumption choices, and correlates. Appl Physiol Nutr Metab. 2022;48(2):163–71.
Public Health Agency of Canada, Infectious Disease Prevention and Control Branch, Centre for Food-borne, Environmental and Zoonotic Infectious Diseases. Foodbook Report. 2015. Available from: https://publications.gc.ca/site/eng/9.803662/publication.html.
Fryar CD, Carroll MD, Ahluwalia N, Ogden CL. Fast food intake among children and adolescents in the United States, 2015–2018. NCHS Data Brief, no 375. Hyattsville, MD: National Center for Health Statistics. 2020. This manuscript represents one of the best overviews of FF consumption in the United States.
Dunn CG, Gao KJ, Soto MJ, Bleich SN. Disparities in adult fast-food consumption in the US by race and ethnicity, national health and nutrition examination survey 2017–2018. Am J Prev Med. 2021;61(4):e197–201.
Fryar CD, Hughes JP, Herrick KA, Ahluwalia, N. Fast food consumption among adults in the United States, 2013–2016. NCHS Data Brief, no 322. Hyattsville, MD: National Center for Health Statistics. 2018.
Hidaka BH, Hester CM, Bridges KM, Daley CM, Greiner KA. Fast food consumption is associated with higher education in women, but not men, among older adults in urban safety-net clinics: a cross-sectional survey. Prev Med Rep. 2018;12:148–51. One of few studies to examine the interaction of social and demographic factors in FF consumption.
Zasimova L. The association between fast-food consumption and job-related factors among Russian adults. Econ Hum Biol. 2022;46:101147.
Critchlow N, Newberry Le Vay J, MacKintosh AM, Hooper L, Thomas C, Vohra J. Adolescents’ reactions to adverts for fast-food and confectionery brands that are high in fat, salt, and/or sugar (HFSS), and possible implications for future research and regulation: findings from a cross-sectional survey of 11–19 year olds in the United Kingdom. Int J Environ Res Public Health. 2020;17(5):1689.
Hilger-Kolb J, Diehl K. ‘Oh God, I have to eat something, but where can I get something quickly?’—A qualitative interview study on barriers to healthy eating among university students in Germany. Nutrients. 2019;11(10):2440.
Bärebring L, Palmqvist M, Winkvist A, Augustin H. Gender differences in perceived food healthiness and food avoidance in a Swedish population-based survey: a cross sectional study. Nutr J. 2020;19:1–8.
Svendsen K, Torheim LE, Fjelberg V, Sorprud A, Narverud I, Retterstøl K, et al. Gender differences in nutrition literacy levels among university students and employees: a descriptive study. J Nutr Sci. 2021;10:e56.
Tani Y, Fujiwara T, Kondo K. Cooking skills related to potential benefits for dietary behaviors and weight status among older Japanese men and women: a cross-sectional study from the JAGES. Int J Behav Nutr Phys Act. 2020;17(1):1–12.
Taillie LS. Who’s cooking? Trends in US home food preparation by gender, education, and race/ethnicity from 2003 to 2016. Nutr J. 2018;17:1–9.
Lee J, Seon J. Educational attainment and health behaviors among young adult men: racial/ethnic disparities. Am J Men’s Health. 2019;13(6):1557988319894488.
Ortega AN, Pintor JK, Langellier BA, Bustamante AV, Young M-EDT, Prelip ML, et al. Cardiovascular disease behavioral risk factors among Latinos by citizenship and documentation status. BMC Public Health. 2020;20:1–9.
AlTamimi JZ, AlFaris NA, Alshwaiyat NM, Alkhalidy H, AlKehayez NM, Alsemari MA, et al. Prevalence of fast-food intake among a multi-ethnic population of middle-aged men and connection with sociodemographic factors and obesity. Medicine. 2023;102(15):e33555. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101309/pdf/medi-102-e33555.pdf.
Zagorsky JL, Smith PK. The association between socioeconomic status and adult fast-food consumption in the US. Econ Hum Biol. 2017;27:12–25. A comprehensive examination of how financial factors influence FF consumption.
Khalid N, Ali R, Zahid M, Zafar L, Riaz S, Shirazi N, et al. Association of fast-food intake as a risk factor of coronary heart disease in male population of Karachi, Pakistan. Age. 2020;44(7.56):44-8.73.
Odegaard AO, Jacobs DR Jr, Van Wagner LB, Pereira MA. Levels of abdominal adipose tissue and metabolic-associated fatty liver disease (MAFLD) in middle age according to average fast-food intake over the preceding 25 years: the CARDIA Study. Am J Clin Nutr. 2022;116(1):255–62. This study unambiguously describes how greater FF consumption leads adverse health consequences if continuted long-term.
Lee J, Allen J. Mothers’ income and young adult children’s education and fast food intake. Am J Health Behav. 2020;44(5):681–90.
Lee J, Allen J. Mother’s educational attainment and their young adult daughters’ fast food intake: The role of race/ethnicity. Health Care Women Int. 2020;41(2):169–87.
Mölenberg FJ, Mackenbach JD, Poelman MP, Santos S, Burdorf A, van Lenthe FJ. Socioeconomic inequalities in the food environment and body composition among school-aged children: a fixed-effects analysis. Int J Obes. 2021;45(12):2554–61.
Doupis J, Festas G, Papakonstantinou PE, Andrianesis V, Efthymiou V, Spanos A, et al. The consumption of fast food favors weight increase in young hellenic navy personnel: a 10-year follow-up study. Metab Syndr Relat Disord. 2020;18(10):493–7.
Nordström A, Hadrévi J, Olsson T, Franks PW, Nordström P. Higher prevalence of type 2 diabetes in men than in women is associated with differences in visceral fat mass. J Clin Endocrinol Metab. 2016;101(10):3740–6.
Gao Z, Chen Z, Sun A, Deng X. Gender differences in cardiovascular disease. Med Novel Technol Devices. 2019;4:100025.
USDHHS Office of Minority Health. Heart Disease and African Americans. 2023; Available from https://minorityhealth.hhs.gov/heart-disease-and-african-americans.
Chow EA, Foster H, Gonzalez V, McIver L. The disparate impact of diabetes on racial/ethnic minority populations. Clin Diabetes. 2012;30(3):130–3.
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Ufholz, K., Werner, J.J. Social and Demographic Correlates of Fast Food Consumption: A Review of Recent Findings in the United States and Worldwide. Curr Cardiovasc Risk Rep 17, 233–243 (2023). https://doi.org/10.1007/s12170-023-00730-5
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DOI: https://doi.org/10.1007/s12170-023-00730-5