Evidence mapPaperPMID 34907655Full record

ArticleObesity (Silver Spring, Md.)2022

Use of prescription medications associated with weight gain among US adults, 1999-2018: A nationally representative survey.

Craig M Hales, Qiuping Gu, Cynthia L Ogden, Susan Z Yanovski

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  13. Validating cuffless continuous blood pressure monitoring devices.Cardiovascular digital health journal · 2023
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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

4 authors at 2 institutions in 1 country.

Craig M HalesCenters for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, Maryland, USA.ORCID 0000-0002-2355-1177
Qiuping GuCenters for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, Maryland, USA.
Cynthia L OgdenCenters for Disease Control and Prevention, National Center for Health Statistics, Hyattsville, Maryland, USA.ORCID 0000-0003-1147-7157
Susan Z YanovskiNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Centers for Disease Control and Prevention · USNational Institutes of Health · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveThis study aimed to evaluate trends in the use of obesogenic medications among adults.

methodsCross-sectional data on adults aged ≥20 years are from the 1999 to 2018 National Health and Nutrition Examination Survey (n = 52,340). Obesogenic medications were defined according to the 2015 Endocrine Society guidelines on the pharmacological management of obesity. Weight status was categorized according to BMI. Trends in prior 30-day use were evaluated.

resultsIn NHANES 2017-2018, 20.3% of US adults used an obesogenic medication. Beta-blockers (9.8%) and antidiabetics (5.7%) were the most common; antipsychotics (1.0%) were the least common. Most common indications were disorders of glucose metabolism, hypertension, neuralgia or neuritis, heart disease, and musculoskeletal pain and/or inflammation. From 1999 to 2018, the proportional use of obesogenic medications increased for anticonvulsants (34.4% to 55.0%) but decreased for antidepressants (32.1% to 18.8%), antidiabetics (82.9% to 52.5%), and beta-blockers (83.9% to 80.7%). The proportional use of obesogenic medications was not associated with weight status, except for antipsychotics.

conclusionsUse of obesogenic medications was common. Differences in the proportional use of obesogenic medication may reflect changing availability of obesogenic versus nonobesogenic medications over time. The decision to prescribe a nonobesogenic alternative, if one exists, is guided by weighing the risks and benefits of available treatments.

Indexed as

Prescription DrugsWeight GainAdultCross-Sectional StudiesHumansNutrition SurveysUnited StatesYoung AdultPrescription Drugs

Identifiers

PMID34907655
PMCPMC8842491
OpenAlexW4200066330

What Socratic 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 Socratic graph.