Evidence map›Paper›PMID 39134948›Full record

ArticleBMC public health2024

Exploring socioeconomic status, lifestyle factors, and cardiometabolic disease outcomes in the United States: insights from a population-based cross-sectional study.

Lulin Zhou, Jonathan Aseye Nutakor, Ebenezer Larnyo, Stephen Addai-Dansoh, Yupeng Cui, Alexander Kwame Gavu, Jonathan Kissi

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
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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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Lulin ZhouSchool of Management, Jiangsu University, Zhenjiang, Jiangsu Province, China.
Jonathan Aseye NutakorSchool of Management, Jiangsu University, Zhenjiang, Jiangsu Province, China. jnutakor@gmail.com.
Ebenezer LarnyoCenter for Black Studies Research, University of California, Santa Barbara, CA, United States of America.
Stephen Addai-DansohSchool of Management, Jiangsu University, Zhenjiang, Jiangsu Province, China.
Yupeng CuiSchool of Management, Jiangsu University, Zhenjiang, Jiangsu Province, China.
Alexander Kwame GavuDepartment of Educational Administration, University of Saskatchewan, Saskatoon, SK, Canada.
Jonathan KissiDepartment of Health Information Management, College of Health and Allied Sciences, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.

Funding

National Natural Science Foundation of China 71974064
6 · The paper itself

Abstract

backgroundCardiometabolic diseases are a major global health concern. This study aims to identify areas for targeted interventions and investigate the impact of socioeconomic status and lifestyle as a potential mediator in the context of the US.

methodsOur study analyzed data from the Health Information National Trends Survey 5, a nationwide survey by the National Cancer Institute. Using standardized scales and questions, we examined cardiometabolic disease outcomes, lifestyle factors, and socioeconomic status of non-institutionalized civilians aged 18 + in the US. We analyzed the data using structural equation modelling.

resultsOur findings show that socioeconomic status and lifestyle significantly predict cardiometabolic disease outcomes. However, our analysis did not support lifestyle as the primary mediating factor in the association between socioeconomic status and cardiometabolic diseases, suggesting that other factors may significantly influence this relationship.

conclusionsCardiometabolic diseases require lifestyle and structural interventions addressing socioeconomic factors. Policymakers must consider multifaceted factors to prevent, detect, and manage these diseases effectively and equitably.

Indexed as

Cardiovascular DiseasesLife StyleSocial ClassAdolescentAdultAgedCardiometabolic Risk FactorsCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedUnited StatesYoung AdultCardiometabolic diseasesHealth disparitiesLifestyle factorsSocioeconomic statusStructural equation modelling

Identifiers

PMID39134948
PMCPMC11318151

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.