Potential predictors of MetS incidence at three years follow-up in the longitudinal sub-cohort of community-dwelling older adults.

Estimated odds ratio for the risk of MetS according to the combination of high hsCRP and HCY levels at 6-year follow-up.

Jinkwan Kim (3185001)
Sangshin Pyo (5883893)
Dae Wui Yoon (3184992)
Seungkwan Lee (5883896)
Ja-Yun Lim (1699906)
June seok Heo (5883899)
Seungku Lee (5883902)
Chol Shin (468586)

October 2018

Estimated odds ratio for the risk of MetS according to the combination of high hsCRP and HCY levels ...

Trajectories of metabolic syndrome development in young adults.

Vivian T W Poon
Jennifer L Kuk
Chris I Ardern

Metabolic syndrome (MetS) is a constellation of metabolic aberrations that collectively increase the...

A longitudinal study over 40 years to study the metabolic syndrome as a risk factor for cardiovascular diseases.

Lind, Lars
Sundström, Johan
Ärnlöv, Johan
Risérus, Ulf
Lampa, Erik

January 2021

The impact of most, but not all, cardiovascular risk factors decline by age. We investigated how the...

Potential predictors of MetS prevalence in the cross-sectional cohort of community-dwelling older adults.

Jeanine M. Van Ancum (5917181)
Nini H. Jonkman (5917184)
Natasja M. van Schoor (61552)
Emily Tressel (5917187)
Carel G. M. Meskers (385204)
Mirjam Pijnappels (650621)
Andrea B. Maier (333228)

October 2018

Potential predictors of MetS prevalence in the cross-sectional cohort of community-dwelling older ad...

Longitudinal paths to the metabolic syndrome: can the incidence of the metabolic syndrome be predicted? The Baltimore Longitudinal Study of Aging

Scuteri, A.
Morrell C. H
Najjar, S. S.
Muller, D.
Andres, R.
Ferrucci, L.
Lakatta, E. G.

January 2009

Objective. To determine the predictors of incidence of metabolic syndrome (MetS) (Adult Treatment Pa...

Predictors of metabolic syndrome in community-dwelling older adults

van Ancum, Jeanine M.
Jonkman, Nini H.
van Schoor, Natasja M.
Tressel, Emily
Meskers, Carel G. M.
Pijnappels, Mirjam
Maier, Andrea B.

January 2018

OBJECTIVES: The metabolic syndrome has been associated with a variety of individual variables, inclu...

Trajectories of Metabolic Syndrome Development in Young Adults

Poon Vivian T. W.
Kuk Jennifer L.
Ardern Chris I.

November 2014

Metabolic syndrome (MetS) is a constellation of metabolic aberrations that collectively increase the...

Final score predicts incidence of MetS in the entire Non-MetS population.

Masaru Obokata (484938)
Kazuaki Negishi (778359)
Yoshiaki Ohyama (480616)
Haruka Okada (778360)
Kunihiko Imai (778361)
Masahiko Kurabayashi (330031)

July 2015

Final risk scores for incident MetS were calculated for each individual participant in the entire...

Risk of MetS at 2.5-year Follow-up Relative to Baseline LXA4 Concentrations, WC and VFA.

Dan Yu (214174)
Zhiye Xu (826082)
Xueyao Yin (589934)
Fenping Zheng (589931)
Xihua Lin (826083)
Qianqian Pan (589935)
Hong Li (20183)

November 2015

Adjusted for age, sex, current smoking, alcohol drinking.Abbreviations as in <a href="http...

Prevalence and odds ratio (95% confidence interval) among adults by age in the State of Nuevo León, Mexico.

Rogelio Salas (618797)
Maria del Mar Bibiloni (2802607)
Esteban Ramos (618798)
Jesús Z. Villarreal (618799)
Antoni Pons (285186)
Josep A. Tur (285187)
Antoni Sureda (618800)

August 2014

Abbreviations: MetS, metabolic syndrome; OR, odds ratio; CI, confidence interval; TG, triglycerid...

defined according to the Third Adults Treatment Panel of

September 2016

Objective The authors investigated the relationship of metabolic syndrome (MetS) and its individual ...

Receiver-operating characteristics curves and predicted risk versus observed risk of outcomes of a final risk score for predicting MetS and recovery from it.

Masaru Obokata (484938)
Kazuaki Negishi (778359)
Yoshiaki Ohyama (480616)
Haruka Okada (778360)
Kunihiko Imai (778361)
Masahiko Kurabayashi (330031)

July 2015

(A) In MetS cohort, the final risk model predicted the recovery from MetS. (B) The ...

Age-adjusted and Gender-specific Prevalence of MetS in the Participants of Two Surveys at 2001 and 2010.

Miao Liu (148274)
Jianhua Wang (159545)
Bin Jiang (196018)
Dongling Sun (423382)
Lei Wu (202933)
Shanshan Yang (423383)
Yiyan Wang (423384)
Xiaoying Li (147528)
Yao He (290155)

June 2013

Age-adjusted and Gender-specific Prevalence of MetS in the Participants of Two Surveys at 2001 an...

Prediction of 11-year incidence of psychophysically dependent status or death among community-dwelling younger elderlies: from an age-specified community-based cohort study (the NISSIN project)

Okabayashi, Satoe
Kawamura, Takashi
Noma, Hisashi
Wakai, Kenji
Ando, Masahiko
Tsushita, Kazuyo
Ohira, Hideki
Ukawa, Shigekazu
Tamakoshi, Akiko

April 2021

Background Predicting adverse health events and implementing preventative measures are a necessary c...

3-year incidence and predictors of metabolic syndrome in schizophrenia in the national FACE-SZ cohort

Godin, O.
Pignon, B.
Pignon, B.
Szoke, A.
Szöke, A.
Boyer, L.
Aouizerate, B.
Aouizerate, B.
Schorr, B.
Schorr, B.
André, M.
Andre, M.
Capdevielle, D.
Capdevielle, D.
Chereau, I.
Coulon, N.
Coulon, N.
Dassing, R.
Dassing, R.
Dubertret, C.
Dubertret, C.
Etain, Bruno
Leignier, S.
Leignier, S.
Llorca, P.M.
Mallet, J.
Mallet, J.
Misdrahi, D.
Misdrahi, D.
Passerieux, C.
Passerieux, C.
Rey, R.
Rey, R.
Urbach, M.
Urbach, M.
Schürhoff, F.
Schürhoff, F.
Leboyer, M.
Leboyer, M.
Fond, G.
Fond, G.
André, M.
Andre, M.
Andrieu-Haller, C.
Aouizerate, B.
Aouizerate, B.
Berna, F.
Blanc, O.
Bourguignon, E.
Capdevielle, D.
Capdevielle, D.
Chereau-Boudet, I.
Clauss-Kobayashi, J.
Coulon, N.
Coulon, N.
d'Amato, T.
Dassing, R.
Dassing, R.
Dorey, J.M.
Dubertret, C.
Dubertret, C.
Esselin, A.
Fond, G.
Fond, G.
Gabayet, F.
Jarroir, M.
Lacelle, D.
Lançon, C.
Laouamri, H.
Leboyer, M.
Leboyer, M.
Leignier, S.
Leignier, S.
Mallet, J.
Mallet, J.
Metairie, E.
Michel, T.
Misdrahi, D.
Misdrahi, D.
Passerieux, C.
Passerieux, C.
Petrucci, J.
Pignon, B.
Pignon, B.
Peri, P.
Portalier, C.
Rey, R.
Rey, R.
Roman, C.
Schorr, B.
Schorr, B.
Schürhoff, F.
Schürhoff, F.
Szoke, A.
Szöke, A.
Tessier, A.
Urbach, M.
Urbach, M.
Wachiche, G.
Zinetti-Bertschy, A.

September 2022

International audienceMetabolic Syndrome (MetS) is a major health epidemic of Western countries and ...

Estimated odds ratio for the risk of MetS according to the combination of high hsCRP and HCY levels at 6-year follow-up.

Jinkwan Kim (3185001)
Sangshin Pyo (5883893)
Dae Wui Yoon (3184992)
Seungkwan Lee (5883896)
Ja-Yun Lim (1699906)
June seok Heo (5883899)
Seungku Lee (5883902)
Chol Shin (468586)

October 2018

Estimated odds ratio for the risk of MetS according to the combination of high hsCRP and HCY levels ...

Trajectories of metabolic syndrome development in young adults.

Vivian T W Poon
Jennifer L Kuk
Chris I Ardern

Metabolic syndrome (MetS) is a constellation of metabolic aberrations that collectively increase the...

A longitudinal study over 40 years to study the metabolic syndrome as a risk factor for cardiovascular diseases.

Lind, Lars
Sundström, Johan
Ärnlöv, Johan
Risérus, Ulf
Lampa, Erik

January 2021

The impact of most, but not all, cardiovascular risk factors decline by age. We investigated how the...

Potential predictors of MetS prevalence in the cross-sectional cohort of community-dwelling older adults.

Jeanine M. Van Ancum (5917181)
Nini H. Jonkman (5917184)
Natasja M. van Schoor (61552)
Emily Tressel (5917187)
Carel G. M. Meskers (385204)
Mirjam Pijnappels (650621)
Andrea B. Maier (333228)

October 2018

Potential predictors of MetS prevalence in the cross-sectional cohort of community-dwelling older ad...

Longitudinal paths to the metabolic syndrome: can the incidence of the metabolic syndrome be predicted? The Baltimore Longitudinal Study of Aging

Scuteri, A.
Morrell C. H
Najjar, S. S.
Muller, D.
Andres, R.
Ferrucci, L.
Lakatta, E. G.

January 2009

Objective. To determine the predictors of incidence of metabolic syndrome (MetS) (Adult Treatment Pa...

Predictors of metabolic syndrome in community-dwelling older adults

van Ancum, Jeanine M.
Jonkman, Nini H.
van Schoor, Natasja M.
Tressel, Emily
Meskers, Carel G. M.
Pijnappels, Mirjam
Maier, Andrea B.

January 2018

OBJECTIVES: The metabolic syndrome has been associated with a variety of individual variables, inclu...

Trajectories of Metabolic Syndrome Development in Young Adults

Poon Vivian T. W.
Kuk Jennifer L.
Ardern Chris I.

November 2014

Metabolic syndrome (MetS) is a constellation of metabolic aberrations that collectively increase the...

Final score predicts incidence of MetS in the entire Non-MetS population.

Masaru Obokata (484938)
Kazuaki Negishi (778359)
Yoshiaki Ohyama (480616)
Haruka Okada (778360)
Kunihiko Imai (778361)
Masahiko Kurabayashi (330031)

July 2015

Final risk scores for incident MetS were calculated for each individual participant in the entire...

Risk of MetS at 2.5-year Follow-up Relative to Baseline LXA4 Concentrations, WC and VFA.

Dan Yu (214174)
Zhiye Xu (826082)
Xueyao Yin (589934)
Fenping Zheng (589931)
Xihua Lin (826083)
Qianqian Pan (589935)
Hong Li (20183)

November 2015

Adjusted for age, sex, current smoking, alcohol drinking.Abbreviations as in <a href="http...

Prevalence and odds ratio (95% confidence interval) among adults by age in the State of Nuevo León, Mexico.

Rogelio Salas (618797)
Maria del Mar Bibiloni (2802607)
Esteban Ramos (618798)
Jesús Z. Villarreal (618799)
Antoni Pons (285186)
Josep A. Tur (285187)
Antoni Sureda (618800)

August 2014

Abbreviations: MetS, metabolic syndrome; OR, odds ratio; CI, confidence interval; TG, triglycerid...

defined according to the Third Adults Treatment Panel of

September 2016

Objective The authors investigated the relationship of metabolic syndrome (MetS) and its individual ...

Receiver-operating characteristics curves and predicted risk versus observed risk of outcomes of a final risk score for predicting MetS and recovery from it.

Masaru Obokata (484938)
Kazuaki Negishi (778359)
Yoshiaki Ohyama (480616)
Haruka Okada (778360)
Kunihiko Imai (778361)
Masahiko Kurabayashi (330031)

July 2015

(A) In MetS cohort, the final risk model predicted the recovery from MetS. (B) The ...

Age-adjusted and Gender-specific Prevalence of MetS in the Participants of Two Surveys at 2001 and 2010.

Miao Liu (148274)
Jianhua Wang (159545)
Bin Jiang (196018)
Dongling Sun (423382)
Lei Wu (202933)
Shanshan Yang (423383)
Yiyan Wang (423384)
Xiaoying Li (147528)
Yao He (290155)

June 2013

Age-adjusted and Gender-specific Prevalence of MetS in the Participants of Two Surveys at 2001 an...

Prediction of 11-year incidence of psychophysically dependent status or death among community-dwelling younger elderlies: from an age-specified community-based cohort study (the NISSIN project)

Okabayashi, Satoe
Kawamura, Takashi
Noma, Hisashi
Wakai, Kenji
Ando, Masahiko
Tsushita, Kazuyo
Ohira, Hideki
Ukawa, Shigekazu
Tamakoshi, Akiko

April 2021

Background Predicting adverse health events and implementing preventative measures are a necessary c...

3-year incidence and predictors of metabolic syndrome in schizophrenia in the national FACE-SZ cohort

Godin, O.
Pignon, B.
Pignon, B.
Szoke, A.
Szöke, A.
Boyer, L.
Aouizerate, B.
Aouizerate, B.
Schorr, B.
Schorr, B.
André, M.
Andre, M.
Capdevielle, D.
Capdevielle, D.
Chereau, I.
Coulon, N.
Coulon, N.
Dassing, R.
Dassing, R.
Dubertret, C.
Dubertret, C.
Etain, Bruno
Leignier, S.
Leignier, S.
Llorca, P.M.
Mallet, J.
Mallet, J.
Misdrahi, D.
Misdrahi, D.
Passerieux, C.
Passerieux, C.
Rey, R.
Rey, R.
Urbach, M.
Urbach, M.
Schürhoff, F.
Schürhoff, F.
Leboyer, M.
Leboyer, M.
Fond, G.
Fond, G.
André, M.
Andre, M.
Andrieu-Haller, C.
Aouizerate, B.
Aouizerate, B.
Berna, F.
Blanc, O.
Bourguignon, E.
Capdevielle, D.
Capdevielle, D.
Chereau-Boudet, I.
Clauss-Kobayashi, J.
Coulon, N.
Coulon, N.
d'Amato, T.
Dassing, R.
Dassing, R.
Dorey, J.M.
Dubertret, C.
Dubertret, C.
Esselin, A.
Fond, G.
Fond, G.
Gabayet, F.
Jarroir, M.
Lacelle, D.
Lançon, C.
Laouamri, H.
Leboyer, M.
Leboyer, M.
Leignier, S.
Leignier, S.
Mallet, J.
Mallet, J.
Metairie, E.
Michel, T.
Misdrahi, D.
Misdrahi, D.
Passerieux, C.
Passerieux, C.
Petrucci, J.
Pignon, B.
Pignon, B.
Peri, P.
Portalier, C.
Rey, R.
Rey, R.
Roman, C.
Schorr, B.
Schorr, B.
Schürhoff, F.
Schürhoff, F.
Szoke, A.
Szöke, A.
Tessier, A.
Urbach, M.
Urbach, M.
Wachiche, G.
Zinetti-Bertschy, A.

September 2022

International audienceMetabolic Syndrome (MetS) is a major health epidemic of Western countries and ...

Estimated odds ratio for the risk of MetS according to the combination of high hsCRP and HCY levels at 6-year follow-up.

Jinkwan Kim (3185001)
Sangshin Pyo (5883893)
Dae Wui Yoon (3184992)
Seungkwan Lee (5883896)
Ja-Yun Lim (1699906)
June seok Heo (5883899)
Seungku Lee (5883902)
Chol Shin (468586)

October 2018

Estimated odds ratio for the risk of MetS according to the combination of high hsCRP and HCY levels ...

Trajectories of metabolic syndrome development in young adults.

Vivian T W Poon
Jennifer L Kuk
Chris I Ardern

Metabolic syndrome (MetS) is a constellation of metabolic aberrations that collectively increase the...

A longitudinal study over 40 years to study the metabolic syndrome as a risk factor for cardiovascular diseases.

Lind, Lars
Sundström, Johan
Ärnlöv, Johan
Risérus, Ulf
Lampa, Erik

January 2021

The impact of most, but not all, cardiovascular risk factors decline by age. We investigated how the...

Potential predictors of MetS incidence at three years follow-up in the longitudinal sub-cohort of community-dwelling older adults.

Abstract

Extracted data

Potential predictors of MetS incidence at three years follow-up in the longitudinal sub-cohort of community-dwelling older adults.

Abstract

Extracted data

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