Evidence map›Paper›PMID 33717393›Full record

ArticleAmerican journal of health education2020

Perceived Severity of Interrelated Cardiometabolic Risk Factors among U.S. College Students.

Ashley L Merianos, Wura Jacobs, Oluyomi Oloruntoba, Olivia E Gittens, Matthew Lee Smith

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of health education, 2020. 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
0.2field-weighted citation impact, top 42% 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, 3 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 1 country.

Ashley L MerianosUniversity of Cincinnati, Cincinnati, OH, USA.
Wura JacobsDepartment of Kinesiology, California State University, Stanislaus, Turlock, CA, USA.
Oluyomi OloruntobaSchool of Public Health, Texas A&M University, College Station, TX, USA.
Olivia E GittensUniversity of Cincinnati, Cincinnati, OH, USA.
Matthew Lee SmithSchool of Public Health, Texas A&M University, College Station, TX, USA.
University of Cincinnati · USCalifornia State University System · USMitchell Institute · USUniversity of Georgia · US

Funding

Reducing Secondhand Smoke Exposure Among Pediatric Patients in the Emergency Department SettingK01DA044313 · NIDA · UNIVERSITY OF CINCINNATI · PI MERIANOS, ASHLEY L · 2017 to 2021
$727k
NIDA NIH HHS K01 DA044313
6 · The paper itself

Abstract

backgroundCardiometabolic risk factors are related to the early onset of chronic health conditions. PURPOSE: To identify factors associated with perceptions about the severity of three interrelated cardiometabolic risks (i.e., high blood pressure, obesity, and cardiovascular disease) among U.S. college students.

methodsData were analyzed from 1,361 college students using an internet-delivered survey. Least squares regression models were fitted. Primary independent variables of interest were sex and cigarette smoking status.

resultsRelative to nonsmokers, smokers perceived high blood pressure (B=-0.09, DISCUSSION: There are discordances between perceived severity of interrelated cardiometabolic risks among college students by personal factors. TRANSLATION TO HEALTH EDUCATION PRACTICE: Smoking prevention and cessation interventions are needed to educate college students about cardiometabolic risks associated with cigarette smoking, especially among male and minority students.

Indexed as

Cardiovascular healthCollege healthObesityRisk perceptionsSmoking

Identifiers

PMID33717393
PMCPMC7954237
OpenAlexW3036609204

What OpenQuestion holds

Textmetadata
LicenceTDM
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.