Evidence map›Paper›PMID 35399056›Full record

Observational studyBMC public health2022

Obesogenic environments and cardiovascular disease: a path analysis using US nationally representative data.

Fangqi Guo, Georgiana Bostean, Vincent Berardi, Alfredo J Velasquez, Jennifer W Robinette

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  10. New frontiers in the measurement of energy metabolism.American journal of physiology. Endocrinology and metabolism · 2023
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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

5 authors.

Fangqi GuoPsychology Department, Crean College of Health and Behavioral Sciences, Chapman University, One University Drive, Orange, CA, 92866, USA. fguo@chapman.edu.
Georgiana BosteanDepartment of Sociology, Humanities, and Social Sciences, Wilkinson College of Arts, Chapman University, Orange, CA, USA.
Vincent BerardiPsychology Department, Crean College of Health and Behavioral Sciences, Chapman University, One University Drive, Orange, CA, 92866, USA.
Alfredo J VelasquezPsychology Department, Crean College of Health and Behavioral Sciences, Chapman University, One University Drive, Orange, CA, 92866, USA.
Jennifer W RobinettePsychology Department, Crean College of Health and Behavioral Sciences, Chapman University, One University Drive, Orange, CA, 92866, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Neighborhood adversity and sensitivity to stress: a study of gene x environment interactions.R00AG055699 · NIA · CHAPMAN UNIVERSITY · PI ROBINETTE, JENNIFER WILLIAMS · 2019 to 2021
$726k
Adding Contextual Data to the Health and Retirement StudyR21AG045625 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AILSHIRE, JENNIFER A, CRIMMINS, EILEEN M · 2013 to 2014
$447k
NIA NIH HHS R00 AG055699NIA NIH HHS R21 AG045625NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

introductionPeople living in obesogenic environments, with limited access to healthful food outlets and exercise facilities, generally have poor health. Previous research suggests that behavioral risk factors and indicators of physiological functioning may mediate this link; however, no studies to date have had the requisite data to investigate multi-level behavioral and physiological risk factors simultaneously. The present study conducted serial and parallel mediation analyses to examine behavioral and physiological pathways explaining the association between environmental obesogenicity and cardiovascular disease (CVD).

methodsThis cross-sectional observational study used data from the 2012-2016 Health and Retirement Study, a representative survey of US older adults (n = 12,482, mean age 65.9). Environmental obesogenicity was operationalized as a combined score consisting of nine environmental measures of food and physical activity. CVD and health-compromising behaviors (diet, alcohol consumption, smoking, and exercise) were self-reported. Physiological dysregulation was assessed with measured blood pressure, heart rate, HbA1c, cholesterol levels, BMI, and C-reactive protein. The Hayes Process Macro was used to examine serial and parallel paths through health-compromising behaviors and physiological dysregulation in the environmental obesogenicity-CVD link.

resultsPeople living in more obesogenic environments had greater odds of self-reported CVD (odds ratio = 1.074, 95% confidence interval (CI): 1.028, 1.122), engaged in more health-compromising behaviors (β = 0.026, 95% CI: 0.008, 0.044), and had greater physiological dysregulation (β = 0.035, 95% CI: 0.017, 0.054). Combined, health-compromising behaviors and physiological dysregulation accounted for 7% of the total effects of environmental obesogenicity on CVD.

conclusionBehavioral and physiological pathways partially explain the environmental obesogenicity-CVD association. Obesogenic environments may stymie the success of cardiovascular health-promotion programs by reducing access to resources supporting healthy lifestyles.

Indexed as

Cardiovascular DiseasesAgedCross-Sectional StudiesExerciseHealth BehaviorHumansRisk FactorsCardiovascular diseaseHealth behaviorsMediation analysisObesogenic environmentPhysiological dysregulation

Identifiers

PMID35399056
PMCPMC8994874

What OpenQuestion holds

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Registered trials

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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.