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Polytomous logistic regression analysis of the association between diet and impaired glucose metabolism.

Tina H. T. Chiu (521938)
Hui-Ya Huang (521939)
Yen-Feng Chiu (73688)
Wen-Harn Pan (57597)
Hui-Yi Kao (438367)
Jason P. C. Chiu (521940)
Ming-Nan Lin (521941)
Chin-Lon Lin (521942)

Publication date

February 2014

DOI

10.1371/journal.pone.0088547.t004

Abstract

<p>IFG = impaired fasting glucose. OR = odds ratio. BMI = body mass index. LTPA = leisure time physical activity.</p

Extracted data

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Odds ratios and 95% confidence intervals of type 2 diabetes according to quintile categories of low-carbohydrate diet score after adjustment for foods and nutrients in women.

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July 2015

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The odds ratio (OR) of impaired glucose metabolism (n = 119) according to tertile categories of each fatty acid intake (% energy).

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<p>Logistic regression analysis for prediction of new-onset impaired fasting glucose.</p

The odds ratio (OR) of impaired glucose metabolism (n = 119) according to tertile categories of fatty acid pattern score.

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May 2013

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Odds ratios of impaired glucose profiles according to LFC quintiles.

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April 2013

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September 2015

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Akiko Nanri (260379)
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Mitsuhiko Noda (176917)
Norie Sawada (573813)
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Univariable and multivariable logistic regression analysis of the relationship between glucose metrics and fatal outcomes.

Sarawut Krongsut (17879708)
Chatchon Kaewkrasaesin (17879711)

January 2024

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Chulho Kim (622686)
Jong-Hee Sohn (763756)
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July 2015

<p><i>B</i> (regression coefficient), CI (confidence interval). The analysis was adjusted for hypert...

The odds ratio (OR) of impaired glucose metabolism (n = 119) according to tertile categories of each fatty acid intake (% energy).

Kayo Kurotani (557944)
Takeshi Kochi (557940)
Akiko Nanri (260379)
Hiroko Tsuruoka (587225)
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May 2013

1<p>Adjusted for age (y) and sex.</p>2<p>Adjusted for age (y) sex, BMI (kg/m<sup>2</sup>), shiftwork...

Logistic regression analysis for prediction of new-onset impaired fasting glucose.

Piero Ruscitti (3684799)
Francesco Ursini (3133098)
Paola Cipriani (55208)
Vasiliki Liakouli (3684820)
Francesco Carubbi (3684811)
Onorina Berardicurti (3684817)
Giovambattista De Sarro (2013070)
Roberto Giacomelli (55207)

July 2017

<p>Logistic regression analysis for prediction of new-onset impaired fasting glucose.</p

The odds ratio (OR) of impaired glucose metabolism (n = 119) according to tertile categories of fatty acid pattern score.

Kayo Kurotani (557944)
Takeshi Kochi (557940)
Akiko Nanri (260379)
Hiroko Tsuruoka (587225)
Keisuke Kuwahara (557934)
Ngoc Minh Pham (557945)
Isamu Kabe (557946)
Tetsuya Mizoue (166430)

May 2013

1<p>Adjusted for age (y) and sex.</p>2<p>Adjusted for age (y) sex, BMI (kg/m<sup>2</sup>), shiftwork...

Odds ratios of impaired glucose profiles according to LFC quintiles.

Xiaoming Li (7401)
Mingfeng Xia (204842)
Hui Ma (290168)
Yu Hu (126677)
Hongmei Yan (204840)
Wanyuan He (429082)
Huandong Lin (429083)
Naiqing Zhao (65115)
Jian Gao (307118)
Xin Gao (14001)

July 2013

<p>P value were calculated from the logistic regression models. Model 1 is unadjusted; Model 2 is ad...

Multiple logistic regression analyses for albuminuria or macroalbuminuria.

Jong Chul Won (502937)
Yun Jeong Lee (463980)
Jung Min Kim (502938)
Sang Youb Han (407598)
Jung Hyun Noh (150932)
Kyung Soo Ko (141360)
Byoung Doo Rhee (141366)
Dong-Jun Kim (463984)

December 2013

<p><sup>a</sup> Microalbuminuria or macroalbuminuria versus normoalbuminuria (reference).</p><p><sup...

Best-Fitting Multivariate Multinomial Logistic Regression Model Predicting Year 3 Glucose Group (Normal, Impaired Fasting Glucose, Diabetes Mellitus).

James H. Stein (166200)
Asha Asthana (405593)
Stevens S. Smith (571914)
Megan E. Piper (173990)
Wei-Yin Loh (571915)
Michael C. Fiore (173996)
Timothy B. Baker (173994)

June 2014

<p><i>Reference group = normal Year 3 glycemic status.</i></p><p><i>IFG = impaired fasting gluco...

Multiple logistic regression analysis using PN as a dependent variable among the NGT, IGR and DM subjects.

Bin Lu (65603)
Ji Hu (118041)
Jian Wen (286688)
Zhaoyun Zhang (118032)
Linuo Zhou (119102)
Yiming Li (40290)
Renming Hu (107418)

April 2013

<p>NGT, normal glucose tolerance; IGR, impaired glucose regulation; DM, diabetes mellitus; FPG, fast...

Logistic regression analysis linking individual food groups or nutrients and the presence of NAFLD (n = 797).

Ruth Chan (254624)
Vincent Wai-Sun Wong (210913)
Winnie Chiu-Wing Chu (407335)
Grace Lai-Hung Wong (256904)
Liz Sin Li (728884)
Jason Leung (254626)
Angel Mei-Ling Chim (407334)
David Ka-Wai Yeung (407336)
Mandy Man-Mei Sea (728885)
Jean Woo (240342)
Francis Ka-Leung Chan (728886)
Henry Lik-Yuen Chan (210922)

September 2015

<p><sup>1</sup> Tertiles based on the distribution of all subjects, except two categories for the fa...

Non-linear mixed effect models for the relationship between fasting plasma glucose and weight loss.

Evbjer, Ellen

January 2013

Diabetes is one of the most common diseases in modern time. Its connection to overweight and obesity...

Contribution of Eating Behaviours to Glucose Dysmetabolism

S. Bertoli
A. Leone
R. DE AMICIS
A. Battezzati

July 2018

The contribution of eating behaviors (EBs) and their psychological constructs to glucose dysmetaboli...

Linear regression analyses between fasting plasma glucose and serum uric acid.

Yunyang Wang (589235)
Jingwei Chi (180424)
Kui Che (4179412)
Ying Chen (9697)
Xiaolin Sun (53844)
Yangang Wang (780821)
Zhongchao Wang (4179409)

June 2017

<p>Linear regression analyses between fasting plasma glucose and serum uric acid.</p

Leptin and the glucose-to-insulin ratio (G:I) in predicting body condition using multinomial logistic regression.

Kari A. Morfeld (549529)
Janine L. Brown (446924)

November 2017

<p>Leptin and the glucose-to-insulin ratio (G:I) in predicting body condition using multinomial logi...

Odds ratios and 95% confidence intervals of type 2 diabetes according to quintile categories of low-carbohydrate diet score after adjustment for foods and nutrients in women.

Akiko Nanri (260379)
Tetsuya Mizoue (166430)
Kayo Kurotani (557944)
Atsushi Goto (176911)
Shino Oba (333218)
Mitsuhiko Noda (176917)
Norie Sawada (573813)
Shoichiro Tsugane (181450)

February 2015

<p><sup>1</sup>Based on multiple logistic regression analysis, with the median value of low-carbohyd...

Univariable and multivariable logistic regression analysis of the relationship between glucose metrics and fatal outcomes.

Sarawut Krongsut (17879708)
Chatchon Kaewkrasaesin (17879711)

January 2024

Univariable and multivariable logistic regression analysis of the relationship between glucose metri...

Linear Regression Analysis results between global cognition, attention, visuospatial and memory scores and glycemic variability parameters.

Chulho Kim (622686)
Jong-Hee Sohn (763756)
Min Uk Jang (622687)
Sung-Hun Kim (622698)
Moon-Gi Choi (763757)
Ohk-Hyun Ryu (763758)
Sungwha Lee (763759)
Hui-Chul Choi (763760)

July 2015

<p><i>B</i> (regression coefficient), CI (confidence interval). The analysis was adjusted for hypert...