Mean differences in movement behaviors by MetS index categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

Open link

Publication date

November 2018

DOI

10.1371/journal.pone.0207300.g005

Publisher

Public Library of Science (PLoS)

Abstract

MetS, metabolic syndrome; MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous physical activity. *p<0.05.</p

Extracted data

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Mean differences in movement behaviors by MetS index categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

Open link

Publication date

November 2018

DOI

10.1371/journal.pone.0207300.g005

Publisher

Public Library of Science (PLoS)

Abstract

MetS, metabolic syndrome; MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous physical activity. *p<0.05.</p

Extracted data

Yen-Ting Chen (684705)
Ping-Huei Tseng (539039)
Fen-Yu Tseng (634327)
Yu-Chiao Chi (443794)
Der-Sheng Han (445808)
Wei-Shiung Yang (28865)

February 2019

Demographic, anthropometric, and biochemical characteristics of the subjects with metabolic syndrome...

Categorisation of wave 1 TILDA participants by IDF metabolic syndrome (MetS) criteria to estimate odds ratio (95% confidence intervals) for likelihood of MetS.

Kevin McCarthy (3558260)
Eamon Laird (13794134)
Aisling M. O’Halloran (13794137)
Padraic Fallon (9332039)
Deirdre O’Connor (11846935)
Román Romero Ortuño (13794140)
Rose Anne Kenny (7936106)

September 2022

Third level and higher the base reference for education and high levels of physical activity the bas...

Mean differences in movement behaviors by MAP categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

MAP, mean arterial pressure; MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous ...

Mean differences in movement behaviors by WC categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous physical activity; WC, waist ...

Weighted characteristics of those with metabolic syndrome (MetS) compared to those without MetS.

Kevin McCarthy (3558260)
Eamon Laird (13794134)
Aisling M. O’Halloran (13794137)
Padraic Fallon (9332039)
Deirdre O’Connor (11846935)
Román Romero Ortuño (13794140)
Rose Anne Kenny (7936106)

September 2022

Weighted characteristics of those with metabolic syndrome (MetS) compared to those without MetS.</p

Relationships between physical activity and the metabolic syndrome (MetS) or the number pf MetS components (MetScomponents) at different examinations in the a) ULSAM and b) PIVUS studies, and in different age-groups in the c) EpiHealth study.

Lars Lind (88400)
Björn Zethelius (286829)
Eva Lindberg (847779)
Nancy L. Pedersen (7718678)
Liisa Byberg (226064)

August 2021

The regression coefficient (Beta, log odds) vs PA is given. Details are given in S2 Table.</p

Mean differences in movement behaviors by TG/HDL-c categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

HDL-c, high density lipoprotein–cholesterol; MPA, moderate physical activity; SB, sedentary behavior...

Mean differences in movement behaviors by fasting insulin categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous physical activity. *p<0.05.</...

Associations between changes in movement behaviors and changes in the metabolic syndrome (MetS) score1 over a 200-day follow-up period in Danish children.

Mads F. Hjorth (611178)
Jean-Philippe Chaput (289901)
Camilla T. Damsgaard (611179)
Stine-Mathilde Dalskov (611180)
Rikke Andersen (528309)
Arne Astrup (37672)
Kim F. Michaelsen (611181)
Inge Tetens (611182)
Christian Ritz (607565)
Anders Sjödin (611183)

August 2014

Abbreviations: PA, physical activity; MVPA, moderate-to-vigorous physical activity.Data ar...

Means ± standard deviations of the clinical characteristics and biochemical variables in subjects with various numbers of metabolic syndrome (MetS) components.

Kai-Hung Cheng (395924)
Shu-Pin Huang (148733)
Chun-Nung Huang (148751)
Yung-Chin Lee (148747)
Chih-Sheng Chu (395925)
Chu-Fen Chang (395926)
Wen-Ter Lai (284544)
Chia-Chu Liu (148745)

March 2013

BMI: body mass index; E2: estradiol;*: Significant difference (P<0.05);aP<0.05 as c...

Baseline characteristics of matched individuals with MetS versus those with individual components of MetS.

Amir Ahmadi (697257)
Jonathon Leipsic (651427)
Gudrun Feuchtner (697258)
Heidi Gransar (697259)
Dan Kalra (697260)
Ran Heo (697261)
Stephan Achenbach (697262)
Daniele Andreini (697263)
Mouaz Al-Mallah (697264)
Daniel S. Berman (697265)
Matthew Budoff (165383)
Filippo Cademartiri (65021)
Tracy Q. Callister (697266)
Hyuk-Jae Chang (697267)
Kavitha Chinnaiyan (697268)
Benjamin Chow (697269)
Ricardo C. Cury (404786)
Augustin Delago (697270)
Millie J. Gomez (697271)
Martin Hadamitzky (697272)
Joerg Hausleiter (697273)
Niree Hindoyan (697274)
Philipp A. Kaufmann (372611)
Yong-Jin Kim (697275)
Fay Lin (697276)
Erica Maffei (697277)
Gianluca Pontone (697278)
Gilbert L. Raff (697279)
Leslee J. Shaw (697280)
Todd C. Villines (697281)
Allison Dunning (697282)
James K. Min (697283)

March 2015

a MetS = metabolic syndromeb BMI = body mass index*Matched va...

Categorisation of wave 1 TILDA participants by ATPIII metabolic syndrome (MetS) criteria to estimate odds ratio (95% confidence intervals) for likelihood of MetS.

Kevin McCarthy (3558260)
Eamon Laird (13794134)
Aisling M. O’Halloran (13794137)
Padraic Fallon (9332039)
Deirdre O’Connor (11846935)
Román Romero Ortuño (13794140)
Rose Anne Kenny (7936106)

September 2022

Third level and higher the base reference for education and high levels of physical activity the bas...

Means ± standard deviations of the baseline characteristics and biochemical variables in the subjects with and without MetS.

Kai-Hung Cheng (395924)
Shu-Pin Huang (148733)
Chun-Nung Huang (148751)
Yung-Chin Lee (148747)
Chih-Sheng Chu (395925)
Chu-Fen Chang (395926)
Wen-Ter Lai (284544)
Chia-Chu Liu (148745)

March 2013

BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; DM: diabetes m...

Association between Metabolic Syndrome Diagnosis and the Physical Activity—Sedentary Profile of Adolescents with Obesity: A Complementary Analysis of the Beta-JUDO Study

Julian, Valérie
Ciba, Iris
Olsson, Roger
Dahlbom, Marie
Furthner, Dieter
Gomahr, Julian
Maruszczak, Katharina
Morwald, Katharina
Pixner, Thomas
Schneider, Anna
Pereira, Bruno
Duclos, Martine
Weghuber, Daniel
Thivel, David
Bergsten, Peter
Forslund, Anders

January 2022

International audienceMetabolic syndrome (MetS) is highly prevalent in children and adolescents with...

Demographic, anthropometric, and biochemical characteristics of the subjects with metabolic syndrome (MetS) or without metabolic syndrome (Non-MetS).

Yen-Ting Chen (684705)
Ping-Huei Tseng (539039)
Fen-Yu Tseng (634327)
Yu-Chiao Chi (443794)
Der-Sheng Han (445808)
Wei-Shiung Yang (28865)

February 2019

Demographic, anthropometric, and biochemical characteristics of the subjects with metabolic syndrome...

Categorisation of wave 1 TILDA participants by IDF metabolic syndrome (MetS) criteria to estimate odds ratio (95% confidence intervals) for likelihood of MetS.

Kevin McCarthy (3558260)
Eamon Laird (13794134)
Aisling M. O’Halloran (13794137)
Padraic Fallon (9332039)
Deirdre O’Connor (11846935)
Román Romero Ortuño (13794140)
Rose Anne Kenny (7936106)

September 2022

Third level and higher the base reference for education and high levels of physical activity the bas...

Mean differences in movement behaviors by MAP categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

MAP, mean arterial pressure; MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous ...

Mean differences in movement behaviors by WC categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous physical activity; WC, waist ...

Lars Lind (88400)
Björn Zethelius (286829)
Eva Lindberg (847779)
Nancy L. Pedersen (7718678)
Liisa Byberg (226064)

August 2021

The regression coefficient (Beta, log odds) vs PA is given. Details are given in S2 Table.</p

Mean differences in movement behaviors by TG/HDL-c categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

HDL-c, high density lipoprotein–cholesterol; MPA, moderate physical activity; SB, sedentary behavior...

Mean differences in movement behaviors by fasting insulin categories.

Lidia Lucas-de la Cruz (4789581)
Vicente Martínez-Vizcaíno (2635537)
Jorge Cañete García-Prieto (684095)
Natalia Arias-Palencia (684096)
Ana Diez-Fernandez (5963807)
Marta Milla-Tobarra (5963810)
Blanca Notario-Pacheco (684094)

November 2018

MPA, moderate physical activity; SB, sedentary behavior; VPA, vigorous physical activity. *p<0.05.</...

Associations between changes in movement behaviors and changes in the metabolic syndrome (MetS) score1 over a 200-day follow-up period in Danish children.

Mads F. Hjorth (611178)
Jean-Philippe Chaput (289901)
Camilla T. Damsgaard (611179)
Stine-Mathilde Dalskov (611180)
Rikke Andersen (528309)
Arne Astrup (37672)
Kim F. Michaelsen (611181)
Inge Tetens (611182)
Christian Ritz (607565)
Anders Sjödin (611183)

August 2014

Abbreviations: PA, physical activity; MVPA, moderate-to-vigorous physical activity.Data ar...

Means ± standard deviations of the clinical characteristics and biochemical variables in subjects with various numbers of metabolic syndrome (MetS) components.

Kai-Hung Cheng (395924)
Shu-Pin Huang (148733)
Chun-Nung Huang (148751)
Yung-Chin Lee (148747)
Chih-Sheng Chu (395925)
Chu-Fen Chang (395926)
Wen-Ter Lai (284544)
Chia-Chu Liu (148745)

March 2013

BMI: body mass index; E2: estradiol;*: Significant difference (P<0.05);aP<0.05 as c...

Baseline characteristics of matched individuals with MetS versus those with individual components of MetS.

Amir Ahmadi (697257)
Jonathon Leipsic (651427)
Gudrun Feuchtner (697258)
Heidi Gransar (697259)
Dan Kalra (697260)
Ran Heo (697261)
Stephan Achenbach (697262)
Daniele Andreini (697263)
Mouaz Al-Mallah (697264)
Daniel S. Berman (697265)
Matthew Budoff (165383)
Filippo Cademartiri (65021)
Tracy Q. Callister (697266)
Hyuk-Jae Chang (697267)
Kavitha Chinnaiyan (697268)
Benjamin Chow (697269)
Ricardo C. Cury (404786)
Augustin Delago (697270)
Millie J. Gomez (697271)
Martin Hadamitzky (697272)
Joerg Hausleiter (697273)
Niree Hindoyan (697274)
Philipp A. Kaufmann (372611)
Yong-Jin Kim (697275)
Fay Lin (697276)
Erica Maffei (697277)
Gianluca Pontone (697278)
Gilbert L. Raff (697279)
Leslee J. Shaw (697280)
Todd C. Villines (697281)
Allison Dunning (697282)
James K. Min (697283)

March 2015

a MetS = metabolic syndromeb BMI = body mass index*Matched va...

Categorisation of wave 1 TILDA participants by ATPIII metabolic syndrome (MetS) criteria to estimate odds ratio (95% confidence intervals) for likelihood of MetS.

Kevin McCarthy (3558260)
Eamon Laird (13794134)
Aisling M. O’Halloran (13794137)
Padraic Fallon (9332039)
Deirdre O’Connor (11846935)
Román Romero Ortuño (13794140)
Rose Anne Kenny (7936106)

September 2022

Third level and higher the base reference for education and high levels of physical activity the bas...

Means ± standard deviations of the baseline characteristics and biochemical variables in the subjects with and without MetS.

Kai-Hung Cheng (395924)
Shu-Pin Huang (148733)
Chun-Nung Huang (148751)
Yung-Chin Lee (148747)
Chih-Sheng Chu (395925)
Chu-Fen Chang (395926)
Wen-Ter Lai (284544)
Chia-Chu Liu (148745)

March 2013

BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; DM: diabetes m...

Association between Metabolic Syndrome Diagnosis and the Physical Activity—Sedentary Profile of Adolescents with Obesity: A Complementary Analysis of the Beta-JUDO Study

Julian, Valérie
Ciba, Iris
Olsson, Roger
Dahlbom, Marie
Furthner, Dieter
Gomahr, Julian
Maruszczak, Katharina
Morwald, Katharina
Pixner, Thomas
Schneider, Anna
Pereira, Bruno
Duclos, Martine
Weghuber, Daniel
Thivel, David
Bergsten, Peter
Forslund, Anders

January 2022

International audienceMetabolic syndrome (MetS) is highly prevalent in children and adolescents with...

Demographic, anthropometric, and biochemical characteristics of the subjects with metabolic syndrome (MetS) or without metabolic syndrome (Non-MetS).

Yen-Ting Chen (684705)
Ping-Huei Tseng (539039)
Fen-Yu Tseng (634327)
Yu-Chiao Chi (443794)
Der-Sheng Han (445808)
Wei-Shiung Yang (28865)

February 2019

Demographic, anthropometric, and biochemical characteristics of the subjects with metabolic syndrome...

Categorisation of wave 1 TILDA participants by IDF metabolic syndrome (MetS) criteria to estimate odds ratio (95% confidence intervals) for likelihood of MetS.

Kevin McCarthy (3558260)
Eamon Laird (13794134)
Aisling M. O’Halloran (13794137)
Padraic Fallon (9332039)
Deirdre O’Connor (11846935)
Román Romero Ortuño (13794140)
Rose Anne Kenny (7936106)

September 2022

Third level and higher the base reference for education and high levels of physical activity the bas...

Mean differences in movement behaviors by MetS index categories.

Abstract

Extracted data

Mean differences in movement behaviors by MetS index categories.

Abstract

Extracted data

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