The association of fast food, fruit and vegetable prices with dietary intakes among US adults: Is there modification by family income?
Open accessAbstract
We examined the effects of prices of fast foods and fruits and vegetables on dietary intake, body mass index (BMI) and obesity risks and whether the associations varied across groups according to their family income. Data from the US Department of Agriculture Continuing Survey of Food Intakes by Individuals (CSFII 1994-96) for 7331 individuals aged 20-65 years with complete data on two 24-h recalls were used. We computed two food price indices (FFPI and FVPI) which were linked to individuals through geocoded identifiers. Main outcomes included dietary intakes of energy, selected nutrients and food groups, fast food consumption, and diet quality measured using two indices (HEI and aMED), BMI and obesity. Interaction terms between key variables were tested in regression analyses and in further stratified analysis by family income. Higher fast food price indices (FFPIs) were associated with higher fiber intake, lower saturated fat, and better overall diet quality as measured by aMED. FVPI was positively associated with improved dietary quality as well as in terms of lower cholesterol and sodium intakes, improved HEI and lower BMI. Most of these associations showed homogeneous strengths across income groups as evidenced by a non-significant FFPIxPIR or FVPIxPIR interaction term (p>0.10). While increasing FFPI by 1 standard deviation was only borderline protective against fast food consumption, its association with other binary outcomes that were considered was non-significant. In contrast, FVPI was protective against obesity, particularly among the near poor. It was also associated with improved aMED score. Analyses of these national data suggest that changing fast food and fruit and vegetable prices may affect people's dietary quality and to some extent their adiposity, although the present study is limited by the available food price data.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 observational analyses, lower prices of fruits and vegetables were associated with greater intake of these foods, as well as with lower BMI, including in prospective studies.
“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 [172]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 49 · Cited by 143
Research works printed but not linked: 2
- STATA. Statistics/Data Analysis: Release 9. Texas: Stata Corporation; 2005. [Google Scholar]
- US Department of Agriculture. Data (CD-ROM) and documentation for the 1994–96 Continuing Survey of Food Intakes by Individuals (CSFII)-Diet and Health Knowledge Survey. National Technical Information Service Accession; 1994–96. [Google Scholar]
- Authors
- Beydoun, M. A., Powell, L. M., & Wang, Y.
- Affiliations
- Johns Hopkins University (US)
- University of Illinois Chicago (US)
- Corresponding author
- Wang, Youfa
- Venue
- Social Science & Medicine
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 66
- Issue
- 11
- Pages
- 2218-2229
- ISSN
- 0277-9536 (ISSN-L)
- PMC
- PMC4863648
- OpenAlex
- W1994130736
- Cited by
- 143
- References
- 49
- Citations by year
- 2024: 3 · 2023: 4 · 2022: 1 · 2021: 5 · 2020: 6 · 2019: 5 · 2018: 4 · 2017: 11 · 2016: 11 · 2015: 10 · 2014: 10 · 2013: 9 · 2012: 14
- FWCI
- 15.80
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Social Science & Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- U.S. Department of Agriculture
- National Heart, Lung, and Blood Institute (R01HL096664)
- National Center for Chronic Disease Prevention and Health Promotion (U48 DP005010)
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Keywords
- fruit and vegetable prices, food prices, dietary intake, diet quality, obesity, body mass index, household income, income inequality, food price index, dietary fiber, saturated fat, sodium intake, cholesterol intake, Healthy Eating Index
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Commerce, Diet, Diet Surveys, Feeding Behavior, Female, Food, Food Preferences, Fruit, Humans, Income, Infant, Infant, Newborn, Male, Middle Aged, Obesity, United States, Vegetables, Body Mass Index
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