Evidence map›Paper›PMID 35657782›Full record

ArticlePloS one2022

Assessing the use of prescription drugs and dietary supplements in obese respondents in the National Health and Nutrition Examination Survey.

Laura A Barrett, Aiwen Xing, Julia Sheffler, Elizabeth Steidley, Terrence J Adam, Rui Zhang, Zhe He

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Laura A BarrettSchool of Information, Florida State University, Tallahassee, Florida, United States of America.
Aiwen XingDepartment of Statistics, Florida State University, Tallahassee, Florida, United States of America.ORCID 0000-0003-4901-7025
Julia ShefflerDepartment of Behavioral Sciences and Social Medicine, College of Medicine, Florida State University, Tallahassee, Florida, United States of America.
Elizabeth SteidleySchool of Information, Florida State University, Tallahassee, Florida, United States of America.
Terrence J AdamInstitute for Health Informatics and College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, United States of America.
Rui ZhangInstitute for Health Informatics and College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, United States of America.
Zhe HeSchool of Information, Florida State University, Tallahassee, Florida, United States of America.ORCID 0000-0003-3608-0244
Florida State University · USUniversity of Minnesota · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
A Translational Informatics Framework to Mine Efficacy and Safety of Dietary SupplementsR01AT009457 · NCCIH · UNIVERSITY OF MINNESOTA · PI RUI ZHANG · 2017 to 2026
$4.1M
Systematic Analysis of Clinical Study Generalizability Assessment Methods with InformaticsR21AG061431 · NIA · FLORIDA STATE UNIVERSITY · PI BIAN, JIANG, HE, ZHE · 2019 to 2020
$793k
NCATS NIH HHS UL1 TR001427NCCIH NIH HHS R01 AT009457NIA NIH HHS R21 AG061431
6 · The paper itself

Abstract

introductionObesity is a common disease and a known risk factor for many other conditions such as hypertension, type 2 diabetes, and cancer. Treatment options for obesity include lifestyle changes, pharmacotherapy, and surgical interventions such as bariatric surgery. In this study, we examine the use of prescription drugs and dietary supplements by the individuals with obesity.

methodsWe conducted a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data 2003-2018. We used multivariate logistic regression to analyze the correlations of demographics and obesity status with the use of prescription drugs and dietary supplement use. We also built machine learning models to classify prescription drug and dietary supplement use using demographic data and obesity status.

resultsIndividuals with obesity are more likely to take cardiovascular agents (OR = 2.095, 95% CI 1.989-2.207) and metabolic agents (OR = 1.658, 95% CI 1.573-1.748) than individuals without obesity. Gender, age, race, poverty income ratio, and insurance status are significantly correlated with dietary supplement use. The best performing model for classifying prescription drug use had the accuracy of 74.3% and the AUROC of 0.82. The best performing model for classifying dietary supplement use had the accuracy of 65.3% and the AUROC of 0.71.

conclusionsThis study can inform clinical practice and patient education of the use of prescription drugs and dietary supplements and their correlation with obesity.

Indexed as

Diabetes Mellitus, Type 2Prescription DrugsCross-Sectional StudiesDietary SupplementsHumansNutrition SurveysObesityPrescription Drugs

Identifiers

PMID35657782
PMCPMC9165812
OpenAlexW4281681158

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.