Additional file 1: Table S1. of Estimating the proportion of metabolic health outcomes attributable to obesity: a cross-sectional exploration of body mass index and waist circumference combinations

Additional file 1: Table S1. of Population differentiation in allele frequencies of obesity-associated SNPs

Linyong Mao (184164)
Yayin Fang (4586473)
Michael Campbell (562588)
William Southerland (4586470)

November 2017

Effect allele frequencies in 26 populations for obesity SNPs. The table lists 225 obesity-associated...

Additional file 3: Table S2. of Abdominal fat depots associated with insulin resistance and metabolic syndrome risk factors in black African young adults

Emanuella De Lucia Rolfe (3571172)
Ken Ong (448067)
Alison Sleigh (504084)
David Dunger (3571169)
Shane Norris (3436937)

October 2015

Pearsonâs correlation coefficients (P-values) between body fat parameters and individual metabolic...

Additional file 1: Table S1. of Maternal undernutrition and excessive body weight and risk of birth and health outcomes

Md Nuruzzaman Khan (3717736)
Md Mizanur Rahman (3717739)
Asma Shariff (3717742)
Md Mostafizur Rahman (3717745)
Md Shafiur Rahman (3717748)
Md Aminur Rahman (63336)

February 2017

Percentage distribution of the respondents by some selected socio economic characteristics and BMI. ...

Additional file 1: Table S1. of Comparison of waist to height ratio and body indices for prediction of metabolic disturbances in the Korean population: the Korean National Health and Nutrition Examination Survey 2008â2011

Seok Kang (3503498)
Kyu Cho (3503495)
Jong Park (118816)
Jun Do (3503492)

December 2015

Baseline characteristics of the total cohort. Table S2. Comparison of AUROC for prediction of metabo...

Additional file 1: Table S1. of Metabolic correlates of subcutaneous and visceral abdominal fat measured by ultrasonography: a comparison with waist circumference

Simona Bertoli (3765628)
Alessandro Leone (3765646)
Laila Vignati (3765634)
Angela Spadafranca (3765637)
Giorgio Bedogni (66570)
Angelo Vanzulli (3765643)
Elena Rodeschini (3765631)
Alberto Battezzati (3765640)

January 2016

Multivariable logistic regression models developed for studying the association between the 4 parame...

Additional file 1: Table S1. of Measures of excess body weight and anthropometry among adult Albertans: cross-sectional results from Alberta’s tomorrow project cohort

Darren Brenner (4333096)
Abbey Poirier (4615435)
Tiffany Haig (4615441)
Alianu Akawung (4615438)
Christine Friedenreich (713579)
Paula Robson (3551825)

November 2017

Age and BMI distributions at enrolment in Alberta’s Tomorrow Project compared with the Canadian Comm...

Additional file 1: Table S1. of What is the impact of underweight on self-reported health trajectories and mortality rates: a cohort study

Geir Lorem (4486120)
Henrik Schirmer (321882)
Nina Emaus (634463)

October 2017

Comparison of change in comorbitiy (HII) according to weight group at beginning and end of follow-up...

Additional file 1: Table S1. of Obesity trends by industry of employment in the United States, 2004 to 2011

Chandra Jackson (3580757)
Christina Wee (3580754)
David Hurtado (3580751)
Ichiro Kawachi (113390)

April 2016

Age-Standardized Prevalence of Obesity by Industry of Employment among 136,923 US Black and White Me...

Additional file 1: of Association of Metabolic Markers with self-reported osteoarthritis among middle-aged BMI-defined non-obese individuals: a cross-sectional study

Kelsey Collins (5710076)
Behnam Sharif (338153)
Raylene Reimer (3416024)
Claudia Sanmartin (549893)
Walter Herzog (713967)
Rick Chin (352186)
Deborah Marshall (3415802)

September 2018

BMI and body fat percentage classification. The supplementary data provides a summary of the sample ...

Additional file 1: Table S1. of Characterization of skin function associated with obesity and specific correlation to local/systemic parameters in American women

Shinobu Mori (2843792)
Akiko Shiraishi (4590100)
Karen Epplen (4590097)
Desiree Butcher (4590103)
Daiki Murase (4590106)
Yuka Yasuda (162475)
Takatoshi Murase (4590094)

November 2017

Additional information of materials and methods. Table S2. Skin function. Table S3. Microcirculation...

Additional file 1: of Prevalence of general and abdominal obesity in Portugal: comprehensive results from the National Food, nutrition and physical activity survey 2015â2016

Andreia Oliveira (5205569)
Joana AraĂşjo (5205575)
Milton Severo (708962)
Daniela Correia (5205560)
Elisabete Ramos (302383)
Duarte Torres (5205563)
Carla Lopes (849630)

May 2018

Table S1. Prevalence of body mass index categories*, by age groups and sex. (DOCX 17 kb

Additional file 1: Table S1. of Tracking of overweight and obesity from early childhood to adolescence in a population-based cohort – the Tromsø Study, Fit Futures

Elin Evensen (3418118)
Tom Wilsgaard (321883)
Anne-Sofie Furberg (175587)
Guri Skeie (147494)

May 2016

BMI standard deviation score (SDS)* and changes during childhood/adolescence using a UK reference po...

Additional file 1: of New indexes of body fat distribution and sex-specific risk of total and cause-specific mortality: a prospective cohort study

Susanne Rost (5049110)
Dennis Freuer (5049107)
Annette Peters (62601)
Barbara Thorand (44903)
Rolf Holle (262610)
Jakob Linseisen (123573)
Christa Meisinger (39940)

April 2018

BMI and cause-specific mortality. Hazard ratios (HR) and confidence intervals (CI) for the associati...

Additional file 1: of Additive interaction of snoring and body mass index on the prevalence of metabolic syndrome among Chinese coal mine employees: a cross-sectional study

Yanyan Li (345271)
Qian Gao (146991)
Lu Li (14069)
Yanan Shen (6424133)
Qing Lu (28914)
Jianjun Huang (763661)
Chenming Sun (6424136)
Hui Wang (30400)
Nan Qiao (462290)
Cong Wang (107450)
Haixia Zhang (283960)
Tong Wang (87696)

March 2019

Table S1. Characteristics of the study population (before and after multiple imputation). Table S2. ...

Additional file 1: of Psychometric properties of the Patient Assessment of Chronic Illness Care measure (PACIC-5A) among patients with obesity

Maria Schwenke (6258536)
Franziska Welzel (161188)
Claudia Luck-Sikorski (812997)
Alexander Pabst (3165705)
Anette Kersting (315130)
Matthias BlĂźher (3874483)
Hans-Helmut KĂśnig (3488273)
Steffi Riedel-Heller (434691)
Janine Stein (669697)

January 2019

Table S1. Factor loadings for PACIC (promax rotation) - four-factor model. Table S2. Factor loadings...

Additional file 1: Table S1. of Population differentiation in allele frequencies of obesity-associated SNPs

Linyong Mao (184164)
Yayin Fang (4586473)
Michael Campbell (562588)
William Southerland (4586470)

November 2017

Effect allele frequencies in 26 populations for obesity SNPs. The table lists 225 obesity-associated...

Additional file 3: Table S2. of Abdominal fat depots associated with insulin resistance and metabolic syndrome risk factors in black African young adults

Emanuella De Lucia Rolfe (3571172)
Ken Ong (448067)
Alison Sleigh (504084)
David Dunger (3571169)
Shane Norris (3436937)

October 2015

Pearsonâs correlation coefficients (P-values) between body fat parameters and individual metabolic...

Additional file 1: Table S1. of Maternal undernutrition and excessive body weight and risk of birth and health outcomes

Md Nuruzzaman Khan (3717736)
Md Mizanur Rahman (3717739)
Asma Shariff (3717742)
Md Mostafizur Rahman (3717745)
Md Shafiur Rahman (3717748)
Md Aminur Rahman (63336)

February 2017

Percentage distribution of the respondents by some selected socio economic characteristics and BMI. ...

Additional file 1: Table S1. of Comparison of waist to height ratio and body indices for prediction of metabolic disturbances in the Korean population: the Korean National Health and Nutrition Examination Survey 2008â2011

Seok Kang (3503498)
Kyu Cho (3503495)
Jong Park (118816)
Jun Do (3503492)

December 2015

Baseline characteristics of the total cohort. Table S2. Comparison of AUROC for prediction of metabo...

Additional file 1: Table S1. of Metabolic correlates of subcutaneous and visceral abdominal fat measured by ultrasonography: a comparison with waist circumference

Simona Bertoli (3765628)
Alessandro Leone (3765646)
Laila Vignati (3765634)
Angela Spadafranca (3765637)
Giorgio Bedogni (66570)
Angelo Vanzulli (3765643)
Elena Rodeschini (3765631)
Alberto Battezzati (3765640)

January 2016

Multivariable logistic regression models developed for studying the association between the 4 parame...

Additional file 1: Table S1. of Measures of excess body weight and anthropometry among adult Albertans: cross-sectional results from Alberta’s tomorrow project cohort

Darren Brenner (4333096)
Abbey Poirier (4615435)
Tiffany Haig (4615441)
Alianu Akawung (4615438)
Christine Friedenreich (713579)
Paula Robson (3551825)

November 2017

Age and BMI distributions at enrolment in Alberta’s Tomorrow Project compared with the Canadian Comm...

Additional file 1: Table S1. of What is the impact of underweight on self-reported health trajectories and mortality rates: a cohort study

Geir Lorem (4486120)
Henrik Schirmer (321882)
Nina Emaus (634463)

October 2017

Comparison of change in comorbitiy (HII) according to weight group at beginning and end of follow-up...

Additional file 1: Table S1. of Obesity trends by industry of employment in the United States, 2004 to 2011

Chandra Jackson (3580757)
Christina Wee (3580754)
David Hurtado (3580751)
Ichiro Kawachi (113390)

April 2016

Age-Standardized Prevalence of Obesity by Industry of Employment among 136,923 US Black and White Me...

Additional file 1: of Association of Metabolic Markers with self-reported osteoarthritis among middle-aged BMI-defined non-obese individuals: a cross-sectional study

Kelsey Collins (5710076)
Behnam Sharif (338153)
Raylene Reimer (3416024)
Claudia Sanmartin (549893)
Walter Herzog (713967)
Rick Chin (352186)
Deborah Marshall (3415802)

September 2018

BMI and body fat percentage classification. The supplementary data provides a summary of the sample ...

Additional file 1: Table S1. of Characterization of skin function associated with obesity and specific correlation to local/systemic parameters in American women

Shinobu Mori (2843792)
Akiko Shiraishi (4590100)
Karen Epplen (4590097)
Desiree Butcher (4590103)
Daiki Murase (4590106)
Yuka Yasuda (162475)
Takatoshi Murase (4590094)

November 2017

Additional information of materials and methods. Table S2. Skin function. Table S3. Microcirculation...

Additional file 1: of Prevalence of general and abdominal obesity in Portugal: comprehensive results from the National Food, nutrition and physical activity survey 2015â2016

Andreia Oliveira (5205569)
Joana AraĂşjo (5205575)
Milton Severo (708962)
Daniela Correia (5205560)
Elisabete Ramos (302383)
Duarte Torres (5205563)
Carla Lopes (849630)

May 2018

Table S1. Prevalence of body mass index categories*, by age groups and sex. (DOCX 17 kb

Additional file 1: Table S1. of Tracking of overweight and obesity from early childhood to adolescence in a population-based cohort – the Tromsø Study, Fit Futures

Elin Evensen (3418118)
Tom Wilsgaard (321883)
Anne-Sofie Furberg (175587)
Guri Skeie (147494)

May 2016

BMI standard deviation score (SDS)* and changes during childhood/adolescence using a UK reference po...

Additional file 1: of New indexes of body fat distribution and sex-specific risk of total and cause-specific mortality: a prospective cohort study

Susanne Rost (5049110)
Dennis Freuer (5049107)
Annette Peters (62601)
Barbara Thorand (44903)
Rolf Holle (262610)
Jakob Linseisen (123573)
Christa Meisinger (39940)

April 2018

BMI and cause-specific mortality. Hazard ratios (HR) and confidence intervals (CI) for the associati...

Additional file 1: of Additive interaction of snoring and body mass index on the prevalence of metabolic syndrome among Chinese coal mine employees: a cross-sectional study

Yanyan Li (345271)
Qian Gao (146991)
Lu Li (14069)
Yanan Shen (6424133)
Qing Lu (28914)
Jianjun Huang (763661)
Chenming Sun (6424136)
Hui Wang (30400)
Nan Qiao (462290)
Cong Wang (107450)
Haixia Zhang (283960)
Tong Wang (87696)

March 2019

Table S1. Characteristics of the study population (before and after multiple imputation). Table S2. ...

Additional file 1: of Psychometric properties of the Patient Assessment of Chronic Illness Care measure (PACIC-5A) among patients with obesity

Maria Schwenke (6258536)
Franziska Welzel (161188)
Claudia Luck-Sikorski (812997)
Alexander Pabst (3165705)
Anette Kersting (315130)
Matthias BlĂźher (3874483)
Hans-Helmut KĂśnig (3488273)
Steffi Riedel-Heller (434691)
Janine Stein (669697)

January 2019

Table S1. Factor loadings for PACIC (promax rotation) - four-factor model. Table S2. Factor loadings...

Additional file 1: Table S1. of Population differentiation in allele frequencies of obesity-associated SNPs

Linyong Mao (184164)
Yayin Fang (4586473)
Michael Campbell (562588)
William Southerland (4586470)

November 2017

Effect allele frequencies in 26 populations for obesity SNPs. The table lists 225 obesity-associated...

Additional file 3: Table S2. of Abdominal fat depots associated with insulin resistance and metabolic syndrome risk factors in black African young adults

Emanuella De Lucia Rolfe (3571172)
Ken Ong (448067)
Alison Sleigh (504084)
David Dunger (3571169)
Shane Norris (3436937)

October 2015

Pearsonâs correlation coefficients (P-values) between body fat parameters and individual metabolic...

Additional file 1: Table S1. of Maternal undernutrition and excessive body weight and risk of birth and health outcomes

Md Nuruzzaman Khan (3717736)
Md Mizanur Rahman (3717739)
Asma Shariff (3717742)
Md Mostafizur Rahman (3717745)
Md Shafiur Rahman (3717748)
Md Aminur Rahman (63336)

February 2017

Percentage distribution of the respondents by some selected socio economic characteristics and BMI. ...

Additional file 1: Table S1. of Estimating the proportion of metabolic health outcomes attributable to obesity: a cross-sectional exploration of body mass index and waist circumference combinations

Abstract

Extracted data

Additional file 1: Table S1. of Estimating the proportion of metabolic health outcomes attributable to obesity: a cross-sectional exploration of body mass index and waist circumference combinations

Abstract

Extracted data

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