The DOI matches its Crossref record; 40 of the 41 references it cites were found in a registry or an index.
Food prices and fruit and vegetable consumption among young American adults
Abstract
Multivariate negative binomial count models were estimated to examine associations between young adults' fruit and vegetable (FV) consumption and the prices of FV, other food at home grocery items, and fast food and the availability of restaurants and food stores. This study used the 2002 wave of data collected from US young adults aged 18-23 years in the 1997 National Longitudinal Survey of Youth merged by geocode identifiers with food prices and restaurant and food store availability. The results showed that higher levels of FV consumption were associated with lower FV prices (price elasticity of -0.32) and that this own-price effect was robust to the inclusion of other food prices and food outlet availability. Lower income and lower educated young adults and those with lower educated mothers and middle-income parents were found to be most price sensitive. No statistically significant cross-price effects on FV consumption were found with other grocery food (meat, dairy and bread) prices or fast food prices. Fiscal policy instruments such as FV subsidies may help to increase FV intake, particularly among young adults of lower socioeconomic status.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In observational analyses, lower prices of fruits and vegetables were associated with greater intake of these foods,171 as well as with lower BMI,170,172 including in prospective studies.173”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [171]
Citations
Cites
A Theory of the Allocation of Time
Becker, G. S. (1965) · The Economic Journal · doi:10.2307/2228949 · Cited by 10,354
Neighborhood characteristics associated with the location of food stores and food service places
Morland, K. B., Wing, S., Roux, A. V. D., & Poole, C. (2002) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(01)00403-2 · Cited by 1,662
Environmental Influences on Eating and Physical Activity
French, S. A., Story, M. T., & Jeffery, R. W. (2001) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.22.1.309 · Cited by 1,469
Morland, K., Wing, S., & Roux, A. D. (2002) · American Journal of Public Health · doi:10.2105/ajph.92.11.1761 · Cited by 1,289
Bowman, S., Gortmaker, S. L., Ebbeling, C. B., Pereira, M. A., & Ludwig, D. S. (2004) · PEDIATRICS · doi:10.1542/peds.113.1.112 · Cited by 1,165
Food store availability and neighborhood characteristics in the United States
Powell, L. M., Slater, S., Mirtcheva, D., Bao, Y., & Chaloupka, F. J. (2007) · Preventive Medicine · doi:10.1016/j.ypmed.2006.08.008 · Cited by 1,059
Self-citationAn economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System
Chou, S., Grossman, M. B., & Saffer, H. (2004) · Journal of Health Economics · doi:10.1016/j.jhealeco.2003.10.003 · Cited by 1,054
Supermarkets, Other Food Stores, and Obesity
Morland, K., Diez Roux, A. V., & Wing, S. (2006) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2005.11.003 · Cited by 1,037
The economics of obesity: dietary energy density and energy cost
Drewnowski, A., & Darmon, N. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.1.265s · Cited by 1,011
Zenk, S. N., Schulz, A. J., Israel, B. A., James, S. A., Bao, S., & Wilson, M. L. (2005) · American Journal of Public Health · doi:10.2105/ajph.2004.042150 · Cited by 1,009
Cited by
Sorted by citations
Items 101–120 of 120
Social Determinants of Health in Pharmacy Practice
Dawood, O. T., & Aldul, M. I. (2024) · Jordan Journal of Pharmaceutical Sciences · doi:10.35516/jjps.v17i3.2364 · Cited by 2
Golfin, F., Murillo, C., Jensen, M., & Frongillo, E. A. (2022) · Journal of Hunger & Environmental Nutrition · doi:10.1080/19320248.2022.2088262 · Cited by 2
Crouch, C. (2011) · Arizona State University Library Digital Repository (Arizona State University) · Cited by 2
Income, Cost, Time, and Convenience of Food: A Series of Rapid Reviews and Evidence Scans
Callahan, E. H., Bates, M., English, L., Higgins, M., Kim, J. H., Nevins, J. E. H., & Scinto-Madonich, S. (2021) · doi:10.52570/nesr.tfp2021.rres0101 · Cited by 2
Heneghan, J. L., Velmurugan, K., Weatherwax, C., Bartsch, S. M., Martin, C. K., Powell‐Wiley, T. M., Cohen, N., McCrory, M. A., Horn, A. L., Chin, K. L., et al. (2025) · Health & Place · doi:10.1016/j.healthplace.2025.103575 · Cited by 1
Fruit and Vegetable Prices, Dietary Intakes and Income: Potential Cost Versus Benefit
Zhang, Q., & Wang, Y. (2010) · Humana Press eBooks · doi:10.1007/978-1-60761-308-4_6 · Cited by 1
Self-citationEffects of Price Inflation Policy on Obesity: Focused on Sugar Sweetened Beverages
Kim, J., & Shin, D. (2014) · The Korean Journal of Obesity · doi:10.7570/kjo.2014.23.4.257 · Cited by 1
Meat consumption and potential reduction for environmental and public health benefits
Lentz, G. (2020) · Otago University Research Archive (University of Otago) · Cited by 1
Price, Access and Education at Philadelphia Farmers' Markets
Quinn, A. (2011) · The Medicine Forum
Gillespie, C. W., Gray, K., Bailey, E., & Zivalich, J. (2011) · Digital Commons at Illinois Wesleyan University (Illinois Wesleyan University)
Determinants of the Home Food Environment
Berry, A. I. (2012) · Arizona State University Library Digital Repository (Arizona State University)
Mazza, M. C. (2013) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Health, Body Weight, and Obesity
Lakdawalla, D., & Reif, J. (2015) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199389292.013.15
Shopping Frequency, Fresh Produce Consumption, and Food Retail EnvironmentPreprint
Colby, S. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2726859
Kern, D. M., & Auchincloss, A. H. (2016) · iDEA - Drexel University Institutional Repository · doi:10.17918/etd-7109
Kamu Maliyesinin Müdahale Aracı Olarak Obezite Vergisinin Rolü: Denizli İli Örneği
Ersoy, G., & Gökbunar, R. (2024) · Külliye · doi:10.48139/aybukulliye.1409920
Busara, Maru, D. T., Kiarie, W., & Koki, E. (2025) · doi:10.62372/fadc9205
Metadata
- Authors
- Powell, L. M., Zhao, Z., & Wang, Y.
- Affiliations
- University of Illinois Chicago (US)
- Johns Hopkins University (US)
- Corresponding author
- Powell, Lisa M.
- Venue
- Health & Place
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 15
- Issue
- 4
- Pages
- 1064-1070
- ISSN
- 1353-8292 (ISSN-L)
- OpenAlex
- W2057868014
- Cited by
- 120
- References
- 41
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 3 · 2022: 4 · 2021: 4 · 2020: 8 · 2019: 3 · 2018: 8 · 2017: 11 · 2016: 9 · 2015: 7 · 2014: 10 · 2013: 10 · 2012: 16
- FWCI
- 27.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health & Place (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Food Security and Health in Diverse Populations
- Keywords
- fruit and vegetable intake, food prices, young adults, price elasticity, fast food, cross-price effects, socioeconomic status, maternal education, food subsidies, National Longitudinal Survey of Youth
- MeSH terms
- Adolescent, Diet, Female, Fruit, Humans, Male, Residence Characteristics, Social Class, United States, Vegetables, Food Industry, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review