Evidence map›Paper›PMID 36973765›Full record

ArticleBMC nutrition2023

Examining capabilities, opportunities, and motivations for healthy eating behaviors in Latin American restaurants: a quantitative application of the COM-B model to inform future interventions.

Melissa Fuster, Maria P Santos, Emily Dimond, Terry T K Huang, Margaret A Handley

Open access · goldFull text read
In one paragraph

Article in BMC nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 3 institutions in 1 country.

Melissa FusterDepartment of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA. mfuster@tulane.edu.ORCID http://orcid.org/0000-0001-6357-9986
Maria P SantosDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Emily DimondDepartment of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Terry T K HuangCenter for Systems and Community Design and NYU-CUNY Prevention Research Center, City University of New York Graduate School of Public Health and Health Policy, New York, NY, USA.
Margaret A HandleyPartnership for Research in Implementation Science for Equity (PRIDE) Center and Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco, CA, USA.
Tulane University · USThe Graduate Center, CUNY · USUniversity of California, San Francisco · US

Funding

Applying Innovative Approaches to Design and Implement an Intervention to Improve Cardiovascular Health in Hispanic/Latino communities through RestaurantsK01HL147882 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI FUSTER, MELISSA · 2019 to 2023
$800k
CDC HHS U48DP006396NCCDPHP CDC HHS U48 DP006396NHLBI NIH HHS K01 HL147882NHLBI NIH HHS K01HL147882
6 · The paper itself

Abstract

backgroundEating foods away from home has been associated with poor diet quality and adverse health outcomes. Research is needed to examine barriers and facilitators to making healthier eating choices in restaurant settings. We operationalized the Capability, Opportunity, and Motivation for Behavior Model (COM-B Model) to conduct a behavioral diagnosis for healthy eating behaviors at Latin American restaurants (LARs), an understudied yet increasingly important food environment with the potential to positively influence diets.

methodsWe conducted an online survey with adults in the United States that reported eating food from LARs at least once a month (n = 509) recruited via an online market research panel to examine capabilities - physical (e.g., skills) and psychological (e.g., knowledge), opportunities - social (e.g., norms) and physical (e.g., environmental), and motivations - reflective (e.g., self-conscious intentions) and automatic (e.g., emotions) associated with healthier choices at LARs. In a survey focused on LAR-associated behaviors, each COM-B domain was scored between 1-5, with scores ≥ 4 denoted as having high capability, opportunity, and motivation to eat healthfully at LARs (potential range of total score = 6-35). Regression analysis was used to examine the association between COM-B scores (total and by domain) and select demographic characteristics (age, gender, race, Latin heritage, income, education, marital status, and Latin majority state of residency).

resultsMore than half of the participants (57.1%) were classified as having high physical capability, followed by psychological capability (43.9%) in the LAR environment. The proportions of participants with either high motivation or high opportunity were low, ranging from 37.3% (reflective motivation) to physical opportunity (15.6%). The overall mean COM-B total score was 19.8 ± 3.0. Higher total COM-B scores were associated with younger age, self-identifying as white, having Latin heritage, and having higher income (p < 0.05).

conclusionsThis study expands the application of the COM-B framework using quantitative inquiry to evaluate levels of capability, motivation, and opportunity for healthy eating in LAR settings and initial demographic associations with determinants for healthy eating in these settings. This work can aid in tailoring interventions and developing evaluation tools for LAR-related healthy eating interventions.

Indexed as

COM-B ModelEating behaviorsFoods away from homeLatin/HispanicRestaurantsTheoretical Domains Framework

Identifiers

PMID36973765
PMCPMC10041691
OpenAlexW4361011092

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read25
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.