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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2025
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| _version_ | 1852020749282312192 |
|---|---|
| author | Chuncheng Wu (778084) |
| author2 | Ziyi Hu (3665833) Ping Zhang (86495) |
| author2_role | author author |
| author_facet | Chuncheng Wu (778084) Ziyi Hu (3665833) Ping Zhang (86495) |
| author_role | author |
| dc.creator.none.fl_str_mv | Chuncheng Wu (778084) Ziyi Hu (3665833) Ping Zhang (86495) |
| dc.date.none.fl_str_mv | 2025-05-06T17:25:04Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0321625.g004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Forest_plot_of_stratified_analyses_for_the_association_between_PHR_and_MetS_/28939588 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 xlink "> 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 73 ). 35 ). 20 ), |
| dc.title.none.fl_str_mv | Forest plot of stratified analyses for the association between PHR and MetS. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <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> |
| eu_rights_str_mv | openAccess |
| id | Manara_ec79c97f8ce2776f4d1b658fc628b5ae |
| identifier_str_mv | 10.1371/journal.pone.0321625.g004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28939588 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Forest plot of stratified analyses for the association between PHR and MetS.Chuncheng Wu (778084)Ziyi Hu (3665833)Ping Zhang (86495)MedicineCell BiologyGeneticsPhysiologyCancerVirologyComputational BiologyMathematical Sciences not elsewhere classifiedwuhan union hospitallogistic regression analysispresent study aimsdryad data repository24 – 112 – 111 – 1significant positive associationpotential biomarker reflectingxlink "> overweightxlink ">potential utilityearly biomarkerderived datawell understoodunit increasestudy basednormal weightnonlinear relationshipmetabolically unhealthymetabolically healthymetabolic syndromemetabolic statusmetabolic overweightlipid metabolisminflammatory statusindependent associationhdl cholesterolelevated risksbmi categories73 ).35 ).20 ),<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>2025-05-06T17:25:04ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0321625.g004https://figshare.com/articles/figure/Forest_plot_of_stratified_analyses_for_the_association_between_PHR_and_MetS_/28939588CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/289395882025-05-06T17:25:04Z |
| spellingShingle | Forest plot of stratified analyses for the association between PHR and MetS. Chuncheng Wu (778084) 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 xlink "> 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 73 ). 35 ). 20 ), |
| status_str | publishedVersion |
| title | Forest plot of stratified analyses for the association between PHR and MetS. |
| title_full | Forest plot of stratified analyses for the association between PHR and MetS. |
| title_fullStr | Forest plot of stratified analyses for the association between PHR and MetS. |
| title_full_unstemmed | Forest plot of stratified analyses for the association between PHR and MetS. |
| title_short | Forest plot of stratified analyses for the association between PHR and MetS. |
| title_sort | Forest plot of stratified analyses for the association between PHR and MetS. |
| topic | 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 xlink "> 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 73 ). 35 ). 20 ), |