The association of anthropometry indices with gout in Taiwanese men

Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthro...
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Autor*in:	Lin, Wen-Yu [verfasserIn] Lung, Chia-Chi Liu, Ting-Sung Jian, Zhi-Hong Ko, Pei-Chieh Huang, Jing-Yang Ho, Chien-Chang Chen, Shih-Chang Chiang, Yi-Chen Liaw, Yung-Po

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2013

Schlagwörter:	Gout Anthropometry Waist to height ratio

Anmerkung:	© Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (

Übergeordnetes Werk:	Enthalten in: BMC endocrine disorders - [S.l.] : BioMed Central, 2001, 13(2013), 1 vom: 15. Aug.
Übergeordnetes Werk:	volume:13 ; year:2013 ; number:1 ; day:15 ; month:08

Links:	Volltext

DOI / URN:	10.1186/1472-6823-13-30

Katalog-ID:	SPR028683390

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520			\|a Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC.
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allfields	10.1186/1472-6823-13-30 doi (DE-627)SPR028683390 (SPR)1472-6823-13-30-e DE-627 ger DE-627 rakwb eng Lin, Wen-Yu verfasserin aut The association of anthropometry indices with gout in Taiwanese men 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. Gout (dpeaa)DE-He213 Anthropometry (dpeaa)DE-He213 Waist to height ratio (dpeaa)DE-He213 Lung, Chia-Chi aut Liu, Ting-Sung aut Jian, Zhi-Hong aut Ko, Pei-Chieh aut Huang, Jing-Yang aut Ho, Chien-Chang aut Chen, Shih-Chang aut Chiang, Yi-Chen aut Liaw, Yung-Po aut Enthalten in BMC endocrine disorders [S.l.] : BioMed Central, 2001 13(2013), 1 vom: 15. Aug. (DE-627)355456575 (DE-600)2091323-0 1472-6823 nnns volume:13 year:2013 number:1 day:15 month:08 https://dx.doi.org/10.1186/1472-6823-13-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 15 08
spelling	10.1186/1472-6823-13-30 doi (DE-627)SPR028683390 (SPR)1472-6823-13-30-e DE-627 ger DE-627 rakwb eng Lin, Wen-Yu verfasserin aut The association of anthropometry indices with gout in Taiwanese men 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. Gout (dpeaa)DE-He213 Anthropometry (dpeaa)DE-He213 Waist to height ratio (dpeaa)DE-He213 Lung, Chia-Chi aut Liu, Ting-Sung aut Jian, Zhi-Hong aut Ko, Pei-Chieh aut Huang, Jing-Yang aut Ho, Chien-Chang aut Chen, Shih-Chang aut Chiang, Yi-Chen aut Liaw, Yung-Po aut Enthalten in BMC endocrine disorders [S.l.] : BioMed Central, 2001 13(2013), 1 vom: 15. Aug. (DE-627)355456575 (DE-600)2091323-0 1472-6823 nnns volume:13 year:2013 number:1 day:15 month:08 https://dx.doi.org/10.1186/1472-6823-13-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 15 08
allfields_unstemmed	10.1186/1472-6823-13-30 doi (DE-627)SPR028683390 (SPR)1472-6823-13-30-e DE-627 ger DE-627 rakwb eng Lin, Wen-Yu verfasserin aut The association of anthropometry indices with gout in Taiwanese men 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. Gout (dpeaa)DE-He213 Anthropometry (dpeaa)DE-He213 Waist to height ratio (dpeaa)DE-He213 Lung, Chia-Chi aut Liu, Ting-Sung aut Jian, Zhi-Hong aut Ko, Pei-Chieh aut Huang, Jing-Yang aut Ho, Chien-Chang aut Chen, Shih-Chang aut Chiang, Yi-Chen aut Liaw, Yung-Po aut Enthalten in BMC endocrine disorders [S.l.] : BioMed Central, 2001 13(2013), 1 vom: 15. Aug. (DE-627)355456575 (DE-600)2091323-0 1472-6823 nnns volume:13 year:2013 number:1 day:15 month:08 https://dx.doi.org/10.1186/1472-6823-13-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 15 08
allfieldsGer	10.1186/1472-6823-13-30 doi (DE-627)SPR028683390 (SPR)1472-6823-13-30-e DE-627 ger DE-627 rakwb eng Lin, Wen-Yu verfasserin aut The association of anthropometry indices with gout in Taiwanese men 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. Gout (dpeaa)DE-He213 Anthropometry (dpeaa)DE-He213 Waist to height ratio (dpeaa)DE-He213 Lung, Chia-Chi aut Liu, Ting-Sung aut Jian, Zhi-Hong aut Ko, Pei-Chieh aut Huang, Jing-Yang aut Ho, Chien-Chang aut Chen, Shih-Chang aut Chiang, Yi-Chen aut Liaw, Yung-Po aut Enthalten in BMC endocrine disorders [S.l.] : BioMed Central, 2001 13(2013), 1 vom: 15. Aug. (DE-627)355456575 (DE-600)2091323-0 1472-6823 nnns volume:13 year:2013 number:1 day:15 month:08 https://dx.doi.org/10.1186/1472-6823-13-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 15 08
allfieldsSound	10.1186/1472-6823-13-30 doi (DE-627)SPR028683390 (SPR)1472-6823-13-30-e DE-627 ger DE-627 rakwb eng Lin, Wen-Yu verfasserin aut The association of anthropometry indices with gout in Taiwanese men 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. Gout (dpeaa)DE-He213 Anthropometry (dpeaa)DE-He213 Waist to height ratio (dpeaa)DE-He213 Lung, Chia-Chi aut Liu, Ting-Sung aut Jian, Zhi-Hong aut Ko, Pei-Chieh aut Huang, Jing-Yang aut Ho, Chien-Chang aut Chen, Shih-Chang aut Chiang, Yi-Chen aut Liaw, Yung-Po aut Enthalten in BMC endocrine disorders [S.l.] : BioMed Central, 2001 13(2013), 1 vom: 15. Aug. (DE-627)355456575 (DE-600)2091323-0 1472-6823 nnns volume:13 year:2013 number:1 day:15 month:08 https://dx.doi.org/10.1186/1472-6823-13-30 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2013 1 15 08
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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. 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author	Lin, Wen-Yu
spellingShingle	Lin, Wen-Yu misc Gout misc Anthropometry misc Waist to height ratio The association of anthropometry indices with gout in Taiwanese men
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topic_title	The association of anthropometry indices with gout in Taiwanese men Gout (dpeaa)DE-He213 Anthropometry (dpeaa)DE-He213 Waist to height ratio (dpeaa)DE-He213
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title	The association of anthropometry indices with gout in Taiwanese men
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title_full	The association of anthropometry indices with gout in Taiwanese men
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author_browse	Lin, Wen-Yu Lung, Chia-Chi Liu, Ting-Sung Jian, Zhi-Hong Ko, Pei-Chieh Huang, Jing-Yang Ho, Chien-Chang Chen, Shih-Chang Chiang, Yi-Chen Liaw, Yung-Po
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title_sort	association of anthropometry indices with gout in taiwanese men
title_auth	The association of anthropometry indices with gout in Taiwanese men
abstract	Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstractGer	Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
abstract_unstemmed	Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. Conclusions WHtR had a significant linear association with gout in Taiwanese men and was superior to BMI, WHR and WC. © Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (
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title_short	The association of anthropometry indices with gout in Taiwanese men
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author2	Lung, Chia-Chi Liu, Ting-Sung Jian, Zhi-Hong Ko, Pei-Chieh Huang, Jing-Yang Ho, Chien-Chang Chen, Shih-Chang Chiang, Yi-Chen Liaw, Yung-Po
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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background To examine the association of anthropometry indices with gout and to compare the performance of indices to predict gout in Taiwanese men. Methods There were 1443 male subjects aged more than 20 years who participated in the Nutrition and Health Survey in Taiwan (NAHSIT, 1993–1996). Anthropometric evaluation consisted of weight, height, hip and waist circumference (WC) with later body mass index (BMI), waist to height (WHtR) and waist to hip (WHR) estimations. We conducted 4 logistic models to determine the relationships between anthropometric indices and gout. Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men. Results After controlling for other covariables, the adjusted odds ratios for the mid and top tertiles of WHtR were 2.55 (95% CI: 1.16, 5.59) and 3.01 (95% CI: 1.13, 7.99), respectively, but no linear association was found for BMI, WHR and WC. In ROC curve, the greatest area under curve was 0.684 for WHtR and the cut-off point of WHtR was 0.57. 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The association of anthropometry indices with gout in Taiwanese men

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