The DOI matches its Crossref record; 16 of the 17 references it cites were found in a registry or an index.
Body mass index in elementary school children, metropolitan area food prices and food outlet density
Abstract
Objective The aim of this study was to examine the association between food prices and food outlet density and changes in the body mass index (BMI) among elementary school children in the USA.Methods The Early Childhood Longitudinal Study followed a nationally representative sample of kindergarten children over 4 years. We merged individual-level data to (a) metropolitan data on food prices and (b) per capita number of restaurants, grocery stores and convenience stores in the child's home and school zip code. The dependent variables were BMI changes over 1 and 3 years. We analysed mean changes with least-squares regression, and median changes and 85th percentile changes with quantile regression. We controlled for baseline BMI, age, real family income and sociodemographic characteristics.Results Lower real prices for vegetables and fruits were found to predict a significantly lower gain in BMI between kindergarten and third grade; half of that effect was found between kindergarten and first grade. Lower meat prices had the opposite effect, although this effect was generally smaller in magnitude and was insignificant for BMI gain over 3 years. Differences across subgroups were not statistically significant due to smaller sample sizes in subgroup analyses, but the estimated effects were meaningfully larger for children in poverty, children already at risk for overweight or overweight in kindergarten, and Asian and Hispanic children. There were no significant effects for dairy or fast-food prices, nor for outlet density, once we had controlled for individual characteristics and random intercepts to adjust standard errors for the sampling design.Discussion The geographic variation in fruit and vegetable prices is large enough to explain a meaningful amount of the differential gain in BMI among elementary school children across metropolitan areas. However, as consumption information was not available, we cannot confirm that this is the actual pathway. We found no effects of food outlet density at the neighbourhood level, possibly because availability is not an issue in metropolitan areas.
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“Among studies evaluating accessibility to grocery stores, 1 small study found no associations with fruit or vegetable consumption,288 and 5 of 6 studies, including 1 longitudinal study, found no associations with adiposity.173,290,292,293, 298,300”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [173]
In the citing paper
“Four of 6 studies, including 1 longitudinal study, found that greater accessibility to a neighborhood convenience store was associated with more adiposity or diabetes.173,290,292,293,298,299”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [173]
In the citing paper
“Most did not find any significant relation between neighborhood accessibility (number, distance, or density) to fast-food restaurants and prevalence of adiposity in either adults or children.173,291,293, 294,299,303–305”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [173]
Citations
Cites
Diet, nutrition and the prevention of chronic diseases
Joint, W. (2002) · Medical Entomology and Zoology · Cited by 4,890
Prevalence and Trends in Overweight Among US Children and Adolescents, 1999-2000
Ogden, C. L. (2002) · JAMA · doi:10.1001/jama.288.14.1728 · Cited by 4,060
Poverty and obesity: The role of energy density and energy costs
Drewnowski, A., & Specter, S. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.1.6 · Cited by 2,786
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
An 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
US Department of Health & Human Services; Public Health Service; Office of Surgeon General (2001) · PsycEXTRA Dataset · doi:10.1037/e301232004-001 · Cited by 1,001
“Food deserts”—evidence and assumption in health policy making
Cummins, S., & Macintyre, S. (2002) · BMJ · doi:10.1136/bmj.325.7361.436 · Cited by 558
Barriers to Buying Healthy Foods for People With Diabetes: Evidence of Environmental Disparities
Horowitz, C. R., Colson, K. A., Hebert, P. L., & Lancaster, K. J. (2004) · American Journal of Public Health · doi:10.2105/ajph.94.9.1549 · Cited by 481
Darmon, N., Ferguson, E., & Briend, A. (2002) · Journal of Nutrition · doi:10.1093/jn/132.12.3764 · Cited by 386
The location of food stores in urban areas: a case study in Glasgow
Cummins, S., & MacIntyre, S. (1999) · British Food Journal · doi:10.1108/00070709910279027 · Cited by 225
Kaufman, P., MacDonald, J. M., Lutz, S. M., & Smallwood, D. M. (1997) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.34065 · Cited by 203
Higher Fruit Consumption Linked With Lower Body Mass Index
Lin, B., & Morrison, R. M. (2002) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.234628 · Cited by 193
ESTIMATION OF FOOD DEMAND AND NUTRIENT ELASTICITIES FROM HOUSEHOLD SURVEY DATAPreprint
Huang, K. S., & Lin, B. (2000) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.33579 · Cited by 147
LOW-INCOME HOUSEHOLDS' EXPENDITURES ON FRUITS AND VEGETABLES
Blisard, N., Stewart, H. G., & Jolliffe, D. (2004) · AgEcon Search (University of Minnesota, USA) · doi:10.22004/ag.econ.34041 · Cited by 107
How Much Do Americans Pay for Fruits and Vegetables?
Reed, J., Frazão, E., & Itskowitz, R. (2004) · AgEcon Search (University of Minnesota, USA) · doi:10.22004/ag.econ.33653 · Cited by 62
The USDA Fruit and Vegetable Pilot Program EvaluationPreprint
Buzby, J. C., & Guthrie, J. F. (2004) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.33757 · Cited by 2
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- Sanchez, 2003, Downtown LA could see a Ralphs market in 2005, Los Angeles Times, 21, C5
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Roux, A. V. D., & Mair, C. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05333.x · Cited by 2,922
Creating Healthy Food and Eating Environments: Policy and Environmental Approaches
Story, M. T., Kaphingst, K. M., Robinson‐O’Brien, R., & Glanz, K. (2007) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.29.020907.090926 · Cited by 2,387
Larson, N. I., Story, M. T., & Nelson, M. C. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.025 · Cited by 2,003
Hampl, S. E., Hassink, S. G., Skinner, A. C., Armstrong, S. C., Barlow, S. E., Bolling, C. F., Avila Edwards, K. C., Eneli, I., Hamre, R., Joseph, M. M., et al. (2023) · Pediatrics · doi:10.1542/peds.2022-060640 · Cited by 1,389
The Built Environment and Obesity
Papas, M. A., Alberg, A. J., Ewing, R., Helzlsouer, K. J., Gary, T. L., & Klassen, A. C. (2007) · Epidemiologic Reviews · doi:10.1093/epirev/mxm009 · Cited by 1,078
Metadata
- Authors
- Sturm, R., & Datar, A.
- Affiliations
- RAND Corporation (US)
- Corresponding author
- Sturm, R.
- ORCID
- Datar, A.
- Venue
- Public Health
- Publisher
- Elsevier BV
- Published
- 2005-12
- Volume
- 119
- Issue
- 12
- Pages
- 1059-1068
- ISSN
- 0033-3506 (ISSN-L)
- OpenAlex
- W1993311882
- Cited by
- 380
- References
- 17
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 6 · 2022: 3 · 2021: 10 · 2020: 16 · 2019: 8 · 2018: 16 · 2017: 13 · 2016: 16 · 2015: 17 · 2014: 31 · 2013: 28 · 2012: 39
- FWCI
- 21.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Public Health (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- 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
- body mass index, childhood obesity, food prices, food outlet density, elementary school students, fruit and vegetable prices, meat prices, food environment, metropolitan areas, child poverty, overweight risk, Early Childhood Longitudinal Study
- MeSH terms
- Child, Costs and Cost Analysis, Ethnicity, Female, Food, Humans, Longitudinal Studies, Male, Socioeconomic Factors, Students, Body Mass Index
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