Evidence map›Paper›PMID 38795742›Full record

ArticleThe Journal of nutrition2024

Intake of Snacks and Sweets in a National Study of Built and Social Environments: the REasons for Geographic And Racial Differences in Stroke Study.

Ian-Marshall Lang, Cathy L Antonakos, Suzanne E Judd, Natalie Colabianchi

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Article in The Journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ian-Marshall LangSchool of Kinesiology, University of Michigan, Ann Arbor, MI, United States.
Cathy L AntonakosSchool of Kinesiology, University of Michigan, Ann Arbor, MI, United States.
Suzanne E JuddDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, United States.
Natalie ColabianchiSchool of Kinesiology, University of Michigan, Ann Arbor, MI, United States; Institute for Social Research, University of Michigan, Ann Arbor, MI, United States. Electronic address: colabian@umich.edu.

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
Built environments on stroke risk and stroke disparities in a national sampleR01NS092706 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLABIANCHI, NATALIE, JUDD, SUZANNE E · 2016 to 2019
$2.5M
ConProject-003R56AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2022 to 2023
$1.3M
NIA NIH HHS R01 AG049970NIA NIH HHS R56 AG049970NINDS NIH HHS R01 NS092706NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundFew national studies across the United States' rural-urban continuum examine neighborhood effects on snacks and sweets intake among adults.

objectivesThis study examines associations of urbanicity/rurality-tailored measures of food store availability and neighborhood socioeconomic status (NSES) with the intake of snacks and sweets in a national sample of middle and older age adults.

methodsThis cross-sectional study used food frequency questionnaire data collected in the REasons for Geographic And Racial Differences in Stroke study (N = 21,204). What We Eat in America food group categorizations guided outcome classification into 1 main category (total snacks and sweets) and 4 subcategories (savory snacks and crackers; sweet bakery products; candy and desserts; nutrition bars and low-fat snacks and sweets). NSES and food store availability were determined using geographic information systems. Food store availability was characterized as geographic access to primary food stores (e.g., supermarkets, supercenters, and select food retailers) in urbanicity/rurality-tailored neighborhood-based buffers. Multiple linear regression was used to predict each outcome.

resultsLiving in neighborhoods with a high density of primary food stores was associated with 8.6%, 9.5%, and 5.8% lower intake of total snacks and sweets, sweet bakery products, and candy and desserts, respectively. Living in the highest NSES quartile was associated with 11.3%, 5.8%, and 18.9% lower intake of total snacks and sweets, savory snacks and crackers, and sweet bakery products, respectively. Depending on primary food store availability, higher household income was associated with significantly greater intake of nutrition bars and low-fat snacks and sweets. Living in a United States Department of Agriculture-defined food desert was not associated with intake.

conclusionsIn a geographically diverse sample of middle and older age United States adults, living in neighborhoods with no primary food stores or neighborhoods of low-SES was associated with higher intake of total snacks and sweets and subgroups of snacks and sweets.

Indexed as

Residence CharacteristicsSnacksAgedBuilt EnvironmentCross-Sectional StudiesDietFemaleFood SupplyHumansMaleMiddle AgedSocial EnvironmentStrokeUnited Statesdiscretionary foodsenergy densefood environmentgeographic information systemslow-fatneighborhood socioeconomic statusnutrition barsSESsnack foods

Identifiers

PMID38795742
PMCPMC11923438

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.