Evidence map›Paper›PMID 37410773›Full record

ArticlePLOS global public health2023

Cardiometabolic risk among rural Native American adults in a large multilevel multicomponent intervention trial.

Leslie C Redmond, Michelle Estradé, Margarita S Treuth, Caroline R Wensel, Lisa Poirier, Marla Pardilla, Joel Gittelsohn

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

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

Leslie C RedmondDietetics & Nutrition Department, University of Alaska Anchorage, Anchorage, AK, United States of America.ORCID https://orcid.org/0000-0001-7924-630X
Michelle EstradéDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID https://orcid.org/0000-0002-3972-3471
Margarita S TreuthSchool of Health Sciences, Salisbury University, Salisbury, MD, United States of America.
Caroline R WenselDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID https://orcid.org/0000-0001-6233-2922
Lisa PoirierDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.ORCID https://orcid.org/0000-0003-4180-0357
Marla PardillaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Joel GittelsohnDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Johns Hopkins University · USSalisbury University · USUniversity of Alaska Anchorage · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This cross-sectional analysis of the baseline evaluation sample of the Obesity Prevention and Evaluation of InterVention Effectiveness in Native Americans 2 (OPREVENT2) study included 601 Native American adults ages 18-75 living in rural reservation communities in the Midwest and Southwest United States. Participants completed a self-report questionnaire for individual and family history of hypertension, heart disease, diabetes and obestiy. Body mass index (BMI), percent body fat, and blood pressure were measured by trained research staff. About 60% of respondents had a BMI >30 kg/m2. Approximately 80% had a waist-to-hip ratio and percent body fat classified as high risk, and nearly 64% had a high-risk blood pressure measurement. Although a large proportion of participants reported a family history of chronic disease and had measurements that indicated elevated risk, relatively few had a self-reported diagnosis of any chronic disease. Future studies should examine potential connections between healthcare access and discordance in self-reported versus measured disease risks and diagnoses.

Identifiers

PMID37410773
PMCPMC10325061
OpenAlexW4383314245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.