Forest plot of stratified analyses for the association between PHR and MetS.

Forest plot of stratified analyses for the association between PHR and MetS.

<p>OR and 95%CI are shown for each 10-unit increase in PHR, stratified by demographic and clinical characteristics. Analyses were adjusted for potential confounders except for the stratification variable. The vertical dashed line represents OR = 1.0. <i>P</i>-interaction values ind...

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Bibliographic Details
Main Author: Chuncheng Wu (778084) (author)
Other Authors: Ziyi Hu (3665833) (author), Ping Zhang (86495) (author)
Published: 2025
Subjects:
Medicine
Cell Biology
Genetics
Physiology
Cancer
Virology
Computational Biology
Mathematical Sciences not elsewhere classified
wuhan union hospital
logistic regression analysis
present study aims
dryad data repository
24 – 1
12 – 1
11 – 1
significant positive association
potential biomarker reflecting
xlink "> overweight
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potential utility
early biomarker
derived data
well understood
unit increase
study based
normal weight
nonlinear relationship
metabolically unhealthy
metabolically healthy
metabolic syndrome
metabolic status
metabolic overweight
lipid metabolism
inflammatory status
independent association
hdl cholesterol
elevated risks
bmi categories
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35 ).
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Summary:<p>OR and 95%CI are shown for each 10-unit increase in PHR, stratified by demographic and clinical characteristics. Analyses were adjusted for potential confounders except for the stratification variable. The vertical dashed line represents OR = 1.0. <i>P</i>-interaction values indicate the significance of effect modification between subgroups.</p>

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