Evidence mapPaperPMID 37709331Full record

ArticleBMJ open2023

Novel use of structural equation modelling to examine diet and metabolic traits associated with microvascular endothelial dysfunction in middle-aged Chinese males: a cross-sectional study.

Rujia Miao, Renhe Yu, Hui Zhou, Lei Liu, Ting Peng, Jiangang Wang

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Rujia MiaoHealth Management Center, Central South University Third Xiangya Hospital, Changsha, China.
Renhe YuDepartment of Epidemiology and Health Statistics, Central South University, Changsha, China.
Hui ZhouHealth Management Center, Central South University Third Xiangya Hospital, Changsha, China.
Lei LiuHealth Management Center, Central South University Third Xiangya Hospital, Changsha, China.
Ting PengHealth Management Center, Central South University Third Xiangya Hospital, Changsha, China eyepengting@163.com 454258816@qq.com.ORCID 0009-0003-1687-8352
Jiangang WangHealth Management Center, Central South University Third Xiangya Hospital, Changsha, China eyepengting@163.com 454258816@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study aims to use structural equation modelling (SEM) with multiple regression pathways to examine direct and indirect links from diet and metabolic traits to microvascular endothelial dysfunction (ED) among middle-aged Chinese males.

methodsThe study was conducted in middle-aged Chinese males, who underwent a health check-up between 2018 and 2019. Data on lifestyle behaviour factors (physical activity, diet pattern, sleep quality and diet data underwent factor analysis in advance) and metabolic risk factors referring to metabolic traits were introduced into the SEM to examine inter-relationship among these factors and their association with ED, as evaluated by the reactive hyperaemia index (RHI).

resultsBoth exploratory factor analysis and confirmatory factor analysis identified two major dietary patterns: 'prudent pattern' and 'western pattern'. The univariate test suggested that only triglycerides (TGs) and prudent dietary pattern were directly associated with RHI. Furthermore, prudent dietary pattern had an indirect association with RHI via TG (prudent diet→TG: β=-0.15, p<0.05; TG→RHI: β=-0.17, p<0.001). As to confirming the hypothesised association between variables apart, physical activity frequency was correlated to the decrease in TG (β=-0.29, p<0.001), but had no direct correlation to RHI.

conclusionThe network of direct and indirect associations among diet pattern and cardiometabolic risk factors with RHI measured ED among middle-aged males. The most significant modifiable factors identified were TG and prudent diet pattern, which needs to be targeted as preventive strategies for early microvascular impairment.

Indexed as

East Asian PeopleVascular DiseasesCross-Sectional StudiesDietHumansLatent Class AnalysisMaleMiddle Agedcardiologynutrition & dieteticsrisk factorsrisk managementvascular medicine

Identifiers

PMID37709331
PMCPMC10921913

What Socratic holds

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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 Socratic graph.