Evidence map›Paper›PMID 35970742›Full record

ArticleObesity research & clinical practice

Ethnic differences in fast-food advertising exposure and body mass index among Asian American/Pacific Islander and White young adults.

Victoria Diana Cruz Flisco, Ciara O'Shea, Claire Townsend Ing, Carol J Boushey, Pallav Pokhrel

Open access · greenAbstract read
In one paragraph

Article in Obesity research & clinical practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 4 institutions in 2 countries.

Victoria Diana Cruz FliscoUniversity of Hawai'i at Mānoa, University of Hawai'i Cancer Center, Population Sciences in the Pacific Program, Honolulu, HI, United States; University of Hawai'i at Mānoa, John A. Burns School of Medicine, Department of Quantitative Health Sciences, Honolulu, HI, United States. Electronic address: vflisco@hawaii.edu.
Ciara O'SheaTechnological University Dublin, Grangegorman, Dublin, Ireland; University of Dublin, Trinity College, College Green, Dublin, Ireland.
Claire Townsend IngUniversity of Hawai'i at Mānoa, John A. Burns School of Medicine, Department of Native Hawaiian Health, Honolulu, HI, United States.
Carol J BousheyUniversity of Hawai'i at Mānoa, University of Hawai'i Cancer Center, Population Sciences in the Pacific Program, Honolulu, HI, United States.
Pallav PokhrelUniversity of Hawai'i at Mānoa, University of Hawai'i Cancer Center, Population Sciences in the Pacific Program, Honolulu, HI, United States.
University of Hawaiʻi at Mānoa · USTechnological University Dublin · IEUniversity of Hawaii Cancer CenterUniversity of Hawaii System · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
University of Guam/Cancer Research Center of Hawaii Partnership (1 of 2)U54CA143727 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Scott Kuwada · 2009 to 2026
$19.1M
Prospective effects of electronic cigarette marketing on expectancies and behaviorR01CA202277 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2016 to 2020
$2.6M
Social Processes of E-cigarette Marketing's Influence on BehaviorR01CA228905 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI POKHREL, PALLAV · 2018 to 2020
$1.4M
Systems Science Informed Multilevel Theoretical Model of Cardiovascular Health in Native HawaiiansK01HL146930 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI ING, CLAIRE TOWNSEND · 2019 to 2023
$986k
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA202277NCI NIH HHS R01 CA228905NCI NIH HHS U54 CA143727NHLBI NIH HHS K01 HL146930
6 · The paper itself

Abstract

backgroundFast-food advertising (FFA) is a potential contributor to obesity. Few studies have examined the relationship between FFA exposure and body mass index (BMI) among young adults. Furthermore, these studies have rarely examined ethnic differences in the relationship between FFA exposure and BMI, specifically across Asian American/Pacific Islander (AAPI) subgroups.

objectiveThis study aimed to investigate ethnic differences in the association between FFA exposure and BMI in a sample of predominantly AAPI young adults.

methodsCross-sectional data were collected in 2018 from 2622 young adult college students (ages 18-25 years; 54% women) on O'ahu, Hawai'i. FFA exposure was assessed using a cued-recall measure. Multiple regression and analysis of covariance were used to analyze the data.

resultsA significant association was found between higher FFA exposure and higher BMI (p < 0.05; 2-tailed) in the entire sample, adjusting for ethnicity, other demographic variables, and levels of physical activity. However, when examined by ethnic group, the association between FFA exposure and BMI was not statistically significant. A statistically significant main effect of ethnicity on BMI was found. Native Hawaiian/other Pacific Islanders (NHPI) reported the highest mean BMI [27.07 (SD ± 7.74) kg/m

conclusionFFA exposure appears to adversely influence BMI in a population of predominantly AAPI young adults. Although we did not find ethnic differences in FFA exposure or in the association between FFA exposure and BMI, the current data make a case for similar future investigation with larger subgroup sample sizes. Regulations that curtail FFA exposure among young adults may be needed.

Indexed as

AdvertisingAsian American Native Hawaiian and Pacific IslanderFast FoodsWhiteAdolescentAdultBody Mass IndexCross-Sectional StudiesFemaleHumansMaleYoung AdultAdvertisingBody mass indexEthnic groupsFast-foodObesity

Identifiers

PMID35970742
PMCPMC9936603
OpenAlexW4290975230

What OpenQuestion holds

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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.