Longitudinal relationships of metabolic syndrome and obesity with kidney function: Healthy Twin Study

Background To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function. Methods Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 parti...

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Published inClinical and experimental nephrology Vol. 19; no. 5; pp. 887 - 894
Main Authors Song, Yun-Mi, Sung, Joohon, Lee, Kayoung
Format Journal Article
LanguageEnglish
Published Tokyo Springer Japan 01.10.2015
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN1342-1751
1437-7799
1437-7799
DOI10.1007/s10157-015-1083-5

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Abstract Background To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function. Methods Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index ≥ 25 vs. <25 kg/m 2 ), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m 2 using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up. Results The prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42–2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up ( ρ E, −0.26 to −0.42, P  < 0.001). Conclusions MetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.
AbstractList To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function. Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index ≥ 25 vs. <25 kg/m(2)), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m(2) using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up. The prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42-2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up (ρ E, -0.26 to -0.42, P < 0.001). MetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.
Background: To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function. Methods: Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 plus or minus 1.4 years). Obesity (body mass index greater than or equal to 25 vs. <25 kg/m super(2)), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m super(2) using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up. Results: The prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42-2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up (Ie sub(E,) -0.26 to -0.42, P < 0.001). Conclusions: MetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.
To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function.BACKGROUNDTo examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function.Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index ≥ 25 vs. <25 kg/m(2)), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m(2) using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up.METHODSSubjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index ≥ 25 vs. <25 kg/m(2)), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m(2) using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up.The prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42-2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up (ρ E, -0.26 to -0.42, P < 0.001).RESULTSThe prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42-2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up (ρ E, -0.26 to -0.42, P < 0.001).MetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.CONCLUSIONSMetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.
Background To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function. Methods Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index [greater than or equal to] 25 vs. <25 kg/m^sup 2^), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m^sup 2^ using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up. Results The prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42-2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up ([rho] ^sub E,^ -0.26 to -0.42, P < 0.001). Conclusions MetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.
Background To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with kidney function. Methods Subjects were 3,437 Korean adults of the Healthy Twin Study for cross-sectional relationships and 1,881 participants for longitudinal relationships (follow-up interval 3.7 ± 1.4 years). Obesity (body mass index ≥ 25 vs. <25 kg/m 2 ), MetS, and chronic kidney disease [CKD; estimated glomerular filtration rate (eGFR) (<60 mL/min/1.73 m 2 using the modification of diet in renal disease study equation)] were categorized at baseline and follow-up. Results The prevalence and incidence of chronic kidney disease were 2.5 and 3.3 %, respectively. Compared to individuals without obesity and MetS, prevalent CKD was associated with MetS regardless of weight status [adjusted odds ratio (AOR) 4.19 for those with MetS but without obesity; AOR 4.63 for those with MetS and obesity]. Incident CKD was associated with obesity regardless of baseline metabolic status (AOR 2.03 for those with obesity but without MetS; AOR 2.85 for those with obesity and MetS). MetS at follow-up was associated with incident CKD regardless of baseline MetS (AOR 2.42–2.52). Sex-adjusted bivariate analyses show inverse environmental correlations of the number of MetS components and BMI at baseline, with eGFR at baseline and follow-up ( ρ E, −0.26 to −0.42, P  < 0.001). Conclusions MetS predicts prevalent CKD regardless of obesity, and obesity predicts incident CKD regardless of baseline MetS. Incident CKD is also associated with MetS at follow-up regardless of baseline MetS. These associations appear to be explained by shared environmental factors.
Author Lee, Kayoung
Song, Yun-Mi
Sung, Joohon
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  organization: Department of Family Medicine, Samsung Medical Center, Sungkyunkwan University, School of Medicine
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  givenname: Kayoung
  surname: Lee
  fullname: Lee, Kayoung
  email: kayoung.fmlky@gmail.com
  organization: Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine
BackLink https://www.ncbi.nlm.nih.gov/pubmed/25634252$$D View this record in MEDLINE/PubMed
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PublicationDate_xml – month: 10
  year: 2015
  text: 2015-10-01
  day: 01
PublicationDecade 2010
PublicationPlace Tokyo
PublicationPlace_xml – name: Tokyo
– name: Japan
PublicationSubtitle Official Publication of the Japanese Society of Nephrology
PublicationTitle Clinical and experimental nephrology
PublicationTitleAbbrev Clin Exp Nephrol
PublicationTitleAlternate Clin Exp Nephrol
PublicationYear 2015
Publisher Springer Japan
Springer Nature B.V
Publisher_xml – name: Springer Japan
– name: Springer Nature B.V
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Snippet Background To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and...
To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and obesity with...
Background To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and...
Background: To examine cross-sectional and longitudinal relationships, including genetic and environmental correlations, of metabolic syndrome (MetS) and...
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SubjectTerms Adult
Aged
Cross-Sectional Studies
Diet
Female
Glomerular Filtration Rate
Humans
Incidence
Kidney - physiopathology
Kidney Function Tests
Longitudinal Studies
Male
Medicine
Medicine & Public Health
Metabolic Syndrome - complications
Metabolic Syndrome - epidemiology
Metabolic Syndrome - physiopathology
Middle Aged
Nephrology
Obesity - complications
Obesity - epidemiology
Obesity - physiopathology
Original Article
Prevalence
Renal Insufficiency, Chronic - epidemiology
Renal Insufficiency, Chronic - etiology
Urology
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Title Longitudinal relationships of metabolic syndrome and obesity with kidney function: Healthy Twin Study
URI https://link.springer.com/article/10.1007/s10157-015-1083-5
https://www.ncbi.nlm.nih.gov/pubmed/25634252
https://www.proquest.com/docview/1721878540
https://www.proquest.com/docview/1722422845
https://www.proquest.com/docview/1897379239
Volume 19
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