Association between DI-GM and hyperlipidemia.

<p>Model 1: unadjusted; Model 2: adjusted for age, sex, and race/ethnicity; Model 3: additionally adjusted for education, poverty-to-income ratio, BMI, smoking, alcohol use, macronutrient intake, hypertension, diabetes, and cancer.</p>

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Hovedforfatter: Wenjing Wang (181404) (author)
Andre forfattere: Weinan Jiang (8346891) (author)
Udgivet: 2025
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_version_ 1849927643228536832
author Wenjing Wang (181404)
author2 Weinan Jiang (8346891)
author2_role author
author_facet Wenjing Wang (181404)
Weinan Jiang (8346891)
author_role author
dc.creator.none.fl_str_mv Wenjing Wang (181404)
Weinan Jiang (8346891)
dc.date.none.fl_str_mv 2025-11-24T18:25:46Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0337398.g002
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Association_between_DI-GM_and_hyperlipidemia_/30696768
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biochemistry
Cell Biology
Biotechnology
Ecology
Immunology
Cancer
Science Policy
Infectious Diseases
Chemical Sciences not elsewhere classified
weighted logistic regression
novel tool designed
lowering medication use
emerging evidence suggests
dose &# 8211
735 &# 8211
2010 &# 8211
relevant dietary components
relevant dietary assessment
oriented dietary patterns
habitual dietary patterns
mediation analysis using
mediation analysis showed
hour recall data
reflecting 14 microbiota
nutrition examination survey
lipid management strategies
systemic inflammation underscores
xlink "> microbiota
xlink "> hyperlipidemia
xlink ">
dietary index
systemic inflammation
partial mediation
analyzed data
systemic immune
inflammation index
gut microbiota
supportive potential
supportive diets
spline models
significantly associated
response relationship
nhanes ).
national health
mediating role
lower odds
lipid metabolism
inversely associated
integrating microbiome
highest vs
fully adjusted
findings highlight
critical role
cardiovascular disease
assess associations
883 ).
2020 cycles
dc.title.none.fl_str_mv Association between DI-GM and hyperlipidemia.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>Model 1: unadjusted; Model 2: adjusted for age, sex, and race/ethnicity; Model 3: additionally adjusted for education, poverty-to-income ratio, BMI, smoking, alcohol use, macronutrient intake, hypertension, diabetes, and cancer.</p>
eu_rights_str_mv openAccess
id Manara_0f51398d37d6458fce2a4c980bae972d
identifier_str_mv 10.1371/journal.pone.0337398.g002
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30696768
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Association between DI-GM and hyperlipidemia.Wenjing Wang (181404)Weinan Jiang (8346891)BiochemistryCell BiologyBiotechnologyEcologyImmunologyCancerScience PolicyInfectious DiseasesChemical Sciences not elsewhere classifiedweighted logistic regressionnovel tool designedlowering medication useemerging evidence suggestsdose &# 8211735 &# 82112010 &# 8211relevant dietary componentsrelevant dietary assessmentoriented dietary patternshabitual dietary patternsmediation analysis usingmediation analysis showedhour recall datareflecting 14 microbiotanutrition examination surveylipid management strategiessystemic inflammation underscoresxlink "> microbiotaxlink "> hyperlipidemiaxlink ">dietary indexsystemic inflammationpartial mediationanalyzed datasystemic immuneinflammation indexgut microbiotasupportive potentialsupportive dietsspline modelssignificantly associatedresponse relationshipnhanes ).national healthmediating rolelower oddslipid metabolisminversely associatedintegrating microbiomehighest vsfully adjustedfindings highlightcritical rolecardiovascular diseaseassess associations883 ).2020 cycles<p>Model 1: unadjusted; Model 2: adjusted for age, sex, and race/ethnicity; Model 3: additionally adjusted for education, poverty-to-income ratio, BMI, smoking, alcohol use, macronutrient intake, hypertension, diabetes, and cancer.</p>2025-11-24T18:25:46ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0337398.g002https://figshare.com/articles/figure/Association_between_DI-GM_and_hyperlipidemia_/30696768CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/306967682025-11-24T18:25:46Z
spellingShingle Association between DI-GM and hyperlipidemia.
Wenjing Wang (181404)
Biochemistry
Cell Biology
Biotechnology
Ecology
Immunology
Cancer
Science Policy
Infectious Diseases
Chemical Sciences not elsewhere classified
weighted logistic regression
novel tool designed
lowering medication use
emerging evidence suggests
dose &# 8211
735 &# 8211
2010 &# 8211
relevant dietary components
relevant dietary assessment
oriented dietary patterns
habitual dietary patterns
mediation analysis using
mediation analysis showed
hour recall data
reflecting 14 microbiota
nutrition examination survey
lipid management strategies
systemic inflammation underscores
xlink "> microbiota
xlink "> hyperlipidemia
xlink ">
dietary index
systemic inflammation
partial mediation
analyzed data
systemic immune
inflammation index
gut microbiota
supportive potential
supportive diets
spline models
significantly associated
response relationship
nhanes ).
national health
mediating role
lower odds
lipid metabolism
inversely associated
integrating microbiome
highest vs
fully adjusted
findings highlight
critical role
cardiovascular disease
assess associations
883 ).
2020 cycles
status_str publishedVersion
title Association between DI-GM and hyperlipidemia.
title_full Association between DI-GM and hyperlipidemia.
title_fullStr Association between DI-GM and hyperlipidemia.
title_full_unstemmed Association between DI-GM and hyperlipidemia.
title_short Association between DI-GM and hyperlipidemia.
title_sort Association between DI-GM and hyperlipidemia.
topic Biochemistry
Cell Biology
Biotechnology
Ecology
Immunology
Cancer
Science Policy
Infectious Diseases
Chemical Sciences not elsewhere classified
weighted logistic regression
novel tool designed
lowering medication use
emerging evidence suggests
dose &# 8211
735 &# 8211
2010 &# 8211
relevant dietary components
relevant dietary assessment
oriented dietary patterns
habitual dietary patterns
mediation analysis using
mediation analysis showed
hour recall data
reflecting 14 microbiota
nutrition examination survey
lipid management strategies
systemic inflammation underscores
xlink "> microbiota
xlink "> hyperlipidemia
xlink ">
dietary index
systemic inflammation
partial mediation
analyzed data
systemic immune
inflammation index
gut microbiota
supportive potential
supportive diets
spline models
significantly associated
response relationship
nhanes ).
national health
mediating role
lower odds
lipid metabolism
inversely associated
integrating microbiome
highest vs
fully adjusted
findings highlight
critical role
cardiovascular disease
assess associations
883 ).
2020 cycles