Evidence map›Paper›PMID 36774124›Full record

ArticleThe Journal of nutrition2022

Differential Associations Between Changes in Food Environment and Changes in BMI Among Adults Living in Urban, Low-Income Communities.

Francesco Acciai, Robin S DeWeese, Michael J Yedidia, Kristen Lloyd, David Tulloch, Derek DeLia, Punam Ohri-Vachaspati

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Francesco AcciaiCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA. Electronic address: facciai@asu.edu.
Robin S DeWeeseCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Michael J YedidiaCenter for State Health Policy, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.
Kristen LloydCenter for State Health Policy, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, USA.
David TullochDepartment of Landscape Architecture, Rutgers University, New Brunswick, NJ, USA.
Derek DeLiaEdward J. Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, NJ, USA; Department of Plastic and Reconstructive Surgery, Georgetown University School of Medicine, Washington, DC, USA.
Punam Ohri-VachaspatiCollege of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Rutgers, The State University of New Jersey · USArizona State University · US

Funding

Impact of Environmental Changes on Children's BMI and Behaviors: A Panel StudyR01HD071583 · NICHD · RUTGERS, THE STATE UNIV OF N.J. · PI OHRI-VACHASPATI, PUNAM, YEDIDIA, MICHAEL JOEL · 2012 to 2016
$3.0M
Examining Obesity Declines Among School Children: The Role of Changes in the Food and Physical Activity EnvironmentsR01HL137814 · NHLBI · RUTGERS, THE STATE UNIV OF N.J. · PI OHRI-VACHASPATI, PUNAM, YEDIDIA, MICHAEL JOEL · 2017 to 2020
$3.0M
NHLBI NIH HHS R01 HL137814NICHD NIH HHS R01 HD071583
6 · The paper itself

Abstract

backgroundFood environments can contribute to excess weight gain among adults, but the evidence is mixed.

objectivesThis longitudinal study investigated the associations between changes in the food environment and changes in BMI in adults and whether changes in the food environment differentially impact various subgroups.

methodsAt 2 time points, BMI was calculated using self-reported height and weight data from 517 adults (mean age, 41 years) living in 4 New Jersey cities. The counts of different types of food outlets within 0.4, 0.8, and 1.6 km of respondents' residences were collected at baseline and tracked until follow-up. A binary measure of social standing (social-advantage group, n = 219; social-disadvantage group, n = 298) was created through a latent class analysis using social, economic, and demographic variables. Multivariable linear regression modeled the associations between changes in BMI with measures of the food environment; additionally, interaction terms between the measures of food environment and social standing were examined.

resultsOverall, over 18 months, an increase in the number of small grocery stores within 0.4 km of a respondent's residence was associated with a decrease in BMI (β = -1.0; 95% CI: -1.9, -0.1; P = 0.024), while an increase in the number of fast-food restaurants within 1.6 km was associated with an increase in BMI (β = 0.1; 95% CI: 0.01, 0.2; P = 0.027). These overall findings, however, masked some group-specific associations. Interaction analyses suggested that associations between changes in the food environment and changes in BMI varied by social standing. For instance, the association between changes in fast-food restaurants and changes in BMI was only observed in the social-disadvantage group (β = 0.1; 95% CI: 0.02, 0.2; P = 0.021).

conclusionsIn a sample of adults living in New Jersey, changes in the food environment had differential effects on individuals' BMIs, based on their social standing.

Indexed as

FoodObesityAdultBody Mass IndexFast FoodsFood SupplyHumansLongitudinal StudiesPovertyResidence CharacteristicsBMIbody mass indexfood environmentlatent classlongitudinal studysocial advantagesocial disadvantagesocial standing

Identifiers

PMID36774124
PMCPMC9644168
OpenAlexW4292510210

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.