Prevalence of MetS in males and females according to age groups (adult criteria NCEP ATP III [9]).

Sex-standardised prevalence of number of conditions in patients with incident cardiovascular disease by age group (years).

Jenny Tran (455214)
Robyn Norton (481048)
Nathalie Conrad (4517908)
Fatemeh Rahimian (4915369)
Dexter Canoy (255769)
Milad Nazarzadeh (2815558)
Kazem Rahimi (135073)

March 2018

Sex-standardised prevalence of number of conditions in patients with incident cardiovascular dise...

Prevalence

August 2016

ry as r a eta th e o sta sis od tween 20 and 40-years-old and has a slight female pre-dominance [12]...

Race-, gender- and age-adjusted prevalence of metabolic syndrome (MetS) by uric acid quartiles (Q).

Dianjianyi Sun (337338)
Shengxu Li (180928)
Xiaotao Zhang (649160)
Camilo Fernandez (558883)
Wei Chen (23863)
Sathanur R. Srinivasan (186389)
Gerald S. Berenson (186395)

October 2014

Race-, gender- and age-adjusted prevalence of metabolic syndrome (MetS) by uric acid quartiles (Q...

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...

Frequency of MetS according to gender and age group.

Julie K. K. Vishram (632652)
Anders Borglykke (206867)
Anne H. Andreasen (632653)
Jørgen Jeppesen (297804)
Hans Ibsen (632654)
Torben Jørgensen (154033)
Luigi Palmieri (583728)
Simona Giampaoli (583732)
Chiara Donfrancesco (583726)
Frank Kee (147922)
Giuseppe Mancia (238600)
Giancarlo Cesana (238596)
Kari Kuulasmaa (62541)
Veikko Salomaa (62543)
Susana Sans (632655)
Jean Ferrieres (3070182)
Jean Dallongeville (224373)
Stefan Söderberg (632656)
Dominique Arveiler (147942)
Aline Wagner (584931)
Hugh Tunstall-Pedoe (632657)
Wojciech Drygas (511134)
Michael H. Olsen (388810)

September 2014

MetS indicates the metabolic syndrome; IDF, the International Diabetes Federation (MetS IDF) crit...

Overall crude prevalence of MetS according to ATP III, IDF and modified ATP III criteria.

Yaling Zhao (402836)
Hong Yan (27984)
Ruihai Yang (402838)
Qiang Li (8118)
Shaonong Dang (311091)
Yuying Wang (532738)

March 2014

Overall crude prevalence of MetS according to ATP III, IDF and modified ATP III criteria.</p

Frequency of each MetS component according to gender and age group.

Julie K. K. Vishram (632652)
Anders Borglykke (206867)
Anne H. Andreasen (632653)
Jørgen Jeppesen (297804)
Hans Ibsen (632654)
Torben Jørgensen (154033)
Luigi Palmieri (583728)
Simona Giampaoli (583732)
Chiara Donfrancesco (583726)
Frank Kee (147922)
Giuseppe Mancia (238600)
Giancarlo Cesana (238596)
Kari Kuulasmaa (62541)
Veikko Salomaa (62543)
Susana Sans (632655)
Jean Ferrieres (3070182)
Jean Dallongeville (224373)
Stefan Söderberg (632656)
Dominique Arveiler (147942)
Aline Wagner (584931)
Hugh Tunstall-Pedoe (632657)
Wojciech Drygas (511134)
Michael H. Olsen (388810)

September 2014

MetS indicates the metabolic syndrome; IDF, the International Diabetes Federation; and ATPIII, Ad...

Prevalence of hypertriglyceridemia stratified according to age (adult criteria NCEP ATP III [9]).

Nasser M. Al-Daghri (123449)
Omar S. Al-Attas (225646)
Majed S. Alokail (225647)
Khalid M. Alkharfy (123445)
Shaun Louie B. Sabico (362532)
George P. Chrousos (175877)

February 2013

Prevalence of hypertriglyceridemia stratified according to age (adult criteria NCEP ATP III <a hr...

Mean prevalence according to the age groups.

Irène Pegha Moukandja (3168228)
Jean Claude Biteghe Bi Essone (3168231)
Issaka Sagara (22539)
Roland Fabrice Kassa Kassa (3168237)
Julien Ondzaga (3168240)
Jean-Bernard Lékana Douki (3168225)
Marielle Bouyou Akotet (3168234)
Dieudonne Nkoghe Mba (3168243)
Fousseyni S. Touré Ndouo (357843)

May 2016

* Significant difference between the prevalence of males obtained by PCR and that observed...

Age- and gender-specific incidence rates per 1000 person years for CVD with or without the presence of MetS.

Julie K. K. Vishram (632652)
Anders Borglykke (206867)
Anne H. Andreasen (632653)
Jørgen Jeppesen (297804)
Hans Ibsen (632654)
Torben Jørgensen (154033)
Luigi Palmieri (583728)
Simona Giampaoli (583732)
Chiara Donfrancesco (583726)
Frank Kee (147922)
Giuseppe Mancia (238600)
Giancarlo Cesana (238596)
Kari Kuulasmaa (62541)
Veikko Salomaa (62543)
Susana Sans (632655)
Jean Ferrieres (3070182)
Jean Dallongeville (224373)
Stefan Söderberg (632656)
Dominique Arveiler (147942)
Aline Wagner (584931)
Hugh Tunstall-Pedoe (632657)
Wojciech Drygas (511134)
Michael H. Olsen (388810)

September 2014

MetS IDF indicates the metabolic syndrome defined according to the International Diabetes Federat...

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...

Prevalences of B19, HBoV and PARV4 in different age, gender, and regional groups.

Rui Tong (416741)
Liping Shen (346368)
Wenjiao Yin (416742)
Weimin Zhou (319086)
Jian Lu (51707)
Meiqin Zheng (121775)
Shengli Bi (367179)
Yongliang Lou (416743)
Wenjie Tan (109831)

May 2013

Prevalences of B19, HBoV and PARV4 in different age, gender, and regional groups.</p

Prevalence of MDR community-acquired UTI among patients according to different age and sex groups.

Mohammad Aminul Islam (7109801)
Md Rayhanul Islam (11886390)
Rizwana Khan (13804416)
Mohammed Badrul Amin (5683778)
Mahdia Rahman (398198)
Muhammed Iqbal Hossain (8861027)
Dilruba Ahmed (424103)
Muhammad Asaduzzaman (825558)
Lee W. Riley (8081198)

September 2022

Prevalence of MDR community-acquired UTI among patients according to different age and sex groups.</...

JIS Definition Identified More Malaysian Adults with Metabolic Syndrome Compared to the NCEP-ATP III and IDF Criteria

Anis Safura Ramli
Aqil Mohammad Daher
Mohamed Noor Khan Nor-Ashikin
Nafiza Mat-Nasir
Kien Keat Ng
Maizatullifah Miskan
Krishnapillai S. Ambigga
Farnaza Ariffin
Md Yasin Mazapuspavina
Suraya Abdul-Razak
Hasidah Abdul-Hamid
Fadhlina Abd-Majid
Najmin Abu-Bakar
Hapizah Nawawi
Khalid Yusoff

January 2013

Metabolic syndrome (MetS) is a steering force for the cardiovascular diseases epidemic in Asia. This...

Sex- and age-specific prevalence of chronic diseases and multimorbidity, n (%).

Lixia Ge (4385815)
Chun Wei Yap (2022262)
Bee Hoon Heng (4385812)

May 2018

Sex- and age-specific prevalence of chronic diseases and multimorbidity, n (%).</p

Sex-standardised prevalence of number of conditions in patients with incident cardiovascular disease by age group (years).

Jenny Tran (455214)
Robyn Norton (481048)
Nathalie Conrad (4517908)
Fatemeh Rahimian (4915369)
Dexter Canoy (255769)
Milad Nazarzadeh (2815558)
Kazem Rahimi (135073)

March 2018

Sex-standardised prevalence of number of conditions in patients with incident cardiovascular dise...

Prevalence

August 2016

ry as r a eta th e o sta sis od tween 20 and 40-years-old and has a slight female pre-dominance [12]...

Race-, gender- and age-adjusted prevalence of metabolic syndrome (MetS) by uric acid quartiles (Q).

Dianjianyi Sun (337338)
Shengxu Li (180928)
Xiaotao Zhang (649160)
Camilo Fernandez (558883)
Wei Chen (23863)
Sathanur R. Srinivasan (186389)
Gerald S. Berenson (186395)

October 2014

Race-, gender- and age-adjusted prevalence of metabolic syndrome (MetS) by uric acid quartiles (Q...

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...

Frequency of MetS according to gender and age group.

Julie K. K. Vishram (632652)
Anders Borglykke (206867)
Anne H. Andreasen (632653)
Jørgen Jeppesen (297804)
Hans Ibsen (632654)
Torben Jørgensen (154033)
Luigi Palmieri (583728)
Simona Giampaoli (583732)
Chiara Donfrancesco (583726)
Frank Kee (147922)
Giuseppe Mancia (238600)
Giancarlo Cesana (238596)
Kari Kuulasmaa (62541)
Veikko Salomaa (62543)
Susana Sans (632655)
Jean Ferrieres (3070182)
Jean Dallongeville (224373)
Stefan Söderberg (632656)
Dominique Arveiler (147942)
Aline Wagner (584931)
Hugh Tunstall-Pedoe (632657)
Wojciech Drygas (511134)
Michael H. Olsen (388810)

September 2014

MetS indicates the metabolic syndrome; IDF, the International Diabetes Federation (MetS IDF) crit...

Overall crude prevalence of MetS according to ATP III, IDF and modified ATP III criteria.

Yaling Zhao (402836)
Hong Yan (27984)
Ruihai Yang (402838)
Qiang Li (8118)
Shaonong Dang (311091)
Yuying Wang (532738)

March 2014

Overall crude prevalence of MetS according to ATP III, IDF and modified ATP III criteria.</p

Frequency of each MetS component according to gender and age group.

Julie K. K. Vishram (632652)
Anders Borglykke (206867)
Anne H. Andreasen (632653)
Jørgen Jeppesen (297804)
Hans Ibsen (632654)
Torben Jørgensen (154033)
Luigi Palmieri (583728)
Simona Giampaoli (583732)
Chiara Donfrancesco (583726)
Frank Kee (147922)
Giuseppe Mancia (238600)
Giancarlo Cesana (238596)
Kari Kuulasmaa (62541)
Veikko Salomaa (62543)
Susana Sans (632655)
Jean Ferrieres (3070182)
Jean Dallongeville (224373)
Stefan Söderberg (632656)
Dominique Arveiler (147942)
Aline Wagner (584931)
Hugh Tunstall-Pedoe (632657)
Wojciech Drygas (511134)
Michael H. Olsen (388810)

September 2014

MetS indicates the metabolic syndrome; IDF, the International Diabetes Federation; and ATPIII, Ad...

Prevalence of hypertriglyceridemia stratified according to age (adult criteria NCEP ATP III [9]).

Nasser M. Al-Daghri (123449)
Omar S. Al-Attas (225646)
Majed S. Alokail (225647)
Khalid M. Alkharfy (123445)
Shaun Louie B. Sabico (362532)
George P. Chrousos (175877)

February 2013

Prevalence of hypertriglyceridemia stratified according to age (adult criteria NCEP ATP III <a hr...

Mean prevalence according to the age groups.

Irène Pegha Moukandja (3168228)
Jean Claude Biteghe Bi Essone (3168231)
Issaka Sagara (22539)
Roland Fabrice Kassa Kassa (3168237)
Julien Ondzaga (3168240)
Jean-Bernard Lékana Douki (3168225)
Marielle Bouyou Akotet (3168234)
Dieudonne Nkoghe Mba (3168243)
Fousseyni S. Touré Ndouo (357843)

May 2016

* Significant difference between the prevalence of males obtained by PCR and that observed...

Age- and gender-specific incidence rates per 1000 person years for CVD with or without the presence of MetS.

Julie K. K. Vishram (632652)
Anders Borglykke (206867)
Anne H. Andreasen (632653)
Jørgen Jeppesen (297804)
Hans Ibsen (632654)
Torben Jørgensen (154033)
Luigi Palmieri (583728)
Simona Giampaoli (583732)
Chiara Donfrancesco (583726)
Frank Kee (147922)
Giuseppe Mancia (238600)
Giancarlo Cesana (238596)
Kari Kuulasmaa (62541)
Veikko Salomaa (62543)
Susana Sans (632655)
Jean Ferrieres (3070182)
Jean Dallongeville (224373)
Stefan Söderberg (632656)
Dominique Arveiler (147942)
Aline Wagner (584931)
Hugh Tunstall-Pedoe (632657)
Wojciech Drygas (511134)
Michael H. Olsen (388810)

September 2014

MetS IDF indicates the metabolic syndrome defined according to the International Diabetes Federat...

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...

Prevalences of B19, HBoV and PARV4 in different age, gender, and regional groups.

Rui Tong (416741)
Liping Shen (346368)
Wenjiao Yin (416742)
Weimin Zhou (319086)
Jian Lu (51707)
Meiqin Zheng (121775)
Shengli Bi (367179)
Yongliang Lou (416743)
Wenjie Tan (109831)

May 2013

Prevalences of B19, HBoV and PARV4 in different age, gender, and regional groups.</p

Prevalence of MDR community-acquired UTI among patients according to different age and sex groups.

Mohammad Aminul Islam (7109801)
Md Rayhanul Islam (11886390)
Rizwana Khan (13804416)
Mohammed Badrul Amin (5683778)
Mahdia Rahman (398198)
Muhammed Iqbal Hossain (8861027)
Dilruba Ahmed (424103)
Muhammad Asaduzzaman (825558)
Lee W. Riley (8081198)

September 2022

Prevalence of MDR community-acquired UTI among patients according to different age and sex groups.</...

JIS Definition Identified More Malaysian Adults with Metabolic Syndrome Compared to the NCEP-ATP III and IDF Criteria

Anis Safura Ramli
Aqil Mohammad Daher
Mohamed Noor Khan Nor-Ashikin
Nafiza Mat-Nasir
Kien Keat Ng
Maizatullifah Miskan
Krishnapillai S. Ambigga
Farnaza Ariffin
Md Yasin Mazapuspavina
Suraya Abdul-Razak
Hasidah Abdul-Hamid
Fadhlina Abd-Majid
Najmin Abu-Bakar
Hapizah Nawawi
Khalid Yusoff

January 2013

Metabolic syndrome (MetS) is a steering force for the cardiovascular diseases epidemic in Asia. This...

Sex- and age-specific prevalence of chronic diseases and multimorbidity, n (%).

Lixia Ge (4385815)
Chun Wei Yap (2022262)
Bee Hoon Heng (4385812)

May 2018

Sex- and age-specific prevalence of chronic diseases and multimorbidity, n (%).</p

Sex-standardised prevalence of number of conditions in patients with incident cardiovascular disease by age group (years).

Jenny Tran (455214)
Robyn Norton (481048)
Nathalie Conrad (4517908)
Fatemeh Rahimian (4915369)
Dexter Canoy (255769)
Milad Nazarzadeh (2815558)
Kazem Rahimi (135073)

March 2018

Sex-standardised prevalence of number of conditions in patients with incident cardiovascular dise...

Prevalence

August 2016

ry as r a eta th e o sta sis od tween 20 and 40-years-old and has a slight female pre-dominance [12]...

Race-, gender- and age-adjusted prevalence of metabolic syndrome (MetS) by uric acid quartiles (Q).

Dianjianyi Sun (337338)
Shengxu Li (180928)
Xiaotao Zhang (649160)
Camilo Fernandez (558883)
Wei Chen (23863)
Sathanur R. Srinivasan (186389)
Gerald S. Berenson (186395)

October 2014

Race-, gender- and age-adjusted prevalence of metabolic syndrome (MetS) by uric acid quartiles (Q...

Prevalence of MetS in males and females according to age groups (adult criteria NCEP ATP III [<b>9</b>]).

Abstract

Extracted data

Prevalence of MetS in males and females according to age groups (adult criteria NCEP ATP III [<b>9</b>]).

Abstract

Extracted data

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