Evidence map›Paper›PMID 39899523›Full record

ArticlePloS one2025

Visceral obesity augments prescription use: An analysis of the cross-sectional study of NHANES 2011-2018.

Maximino Acevedo-Fernández, Renata Ochoa Precoma, Leonardo M Porchia, Victor M Posadas, Enrique Torres-Rasgado, M Elba Gonzalez-Mejia, Esther López-Bayghen

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Maximino Acevedo-FernándezDepartamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Renata Ochoa PrecomaDepartamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Leonardo M PorchiaInstituto de Infertilidad y Genética México SC, Instituto Ingenes, México City, México.
Victor M PosadasDepartamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Enrique Torres-RasgadoDepartamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.ORCID https://orcid.org/0000-0001-5273-4522
M Elba Gonzalez-MejiaDepartamento de Genética, Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Esther López-BayghenDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), México City, México.ORCID https://orcid.org/0000-0002-2849-7587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral obesity (VATob) increases the risk for many diseases. Central obesity has been associated with an augmented prescription use; however, there is a paucity of research focused on VATob. Here, the aim was to evaluate the association between VATob and prescription use.

methodsData was collected from the NHANES dataset (2011-2018). Visceral adipose tissue was measured using dual x-ray absorptiometry, and VATob was defined as ≥100 cm2. Prescription use was collected from the RXQ_RX files and classified according to Vademecum. Association between VATob and prescription use was determined with logistic regression and reported as odds ratios (ORs) with 95% confidence intervals (95%CIs).

results10,952 participants (weighted: 121,090,702) were included, in which 41.8% were VATob and 52.0% of them had ≥1 prescription. Overall, VATob demonstrated an augmented rate of prescription use when compared to non-VATob (52.0% versus 36.7%, p<0.001), specifically with metabolic (4.5-fold increase), cardiovascular (3.9-fold increase), gastrointestinal (2.5-fold increase), and hematopoietic agents (2.3-fold increase). This was associated with increased the risk for overall prescription use (ORoverall = 1.9, 95%CI: 1.7-2.1, p<0.001). Similar results were observed with metabolic and cardiovascular agents. However, when stratified by BMI, normal weight participants (ORmetabolic = 10.4; 95%CI: 6.5-16.6 & ORcardiovascular = 7.0; 95%CI: 4.4-11.1, p<0.001) had a greater risk than the overweight (ORmetabolic = 4.1; 95%CI: 3.0-5.6 & ORcardiovascular = 3.4; 95%CI: 2.5-4.7, p<0.001) or obese participants (ORmetabolic = 3.5; 95%CI: 2.3-5.3 & ORcardiovascular = 3.5; 95%CI: 2.5-4.9, p<0.001).

conclusionVATob is associated with augmented prescription use, particularly with cardiovascular and metabolic agents. This association was higher for normal weight participants.

Indexed as

Drug PrescriptionsObesity, AbdominalAbsorptiometry, PhotonAdultCross-Sectional StudiesFemaleHumansIntra-Abdominal FatMaleMiddle AgedNutrition Surveys

Identifiers

PMID39899523
PMCPMC11790123

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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.