Association between anthropometric indices and hyperuricemia: a nationwide study in China
This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in Ch...
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| Veröffentlicht in: | Clinical rheumatology 2024-03, Vol.43 (3), p.907-920 |
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| creator | Chen, Deshi Lu, Cihang Chen, Kang Liu, Tingting Li, Yongze Shan, Zhongyan Teng, Weiping |
| description | This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (
BMI
), waist circumference (
WC
), a body shape index (
ABSI
), body roundness index (
BRI
), waist-to-height ratio (
WHtR
), lipid accumulation product (
LAP
), visceral adiposity index (
VAI
), triglyceride-glucose index (
TyG
), waist circumference-triglyceride index (
WTI
), and weight-adjusted waist index (
WWI
). The survey data obtained were disaggregated and analyzed according to sex and age.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
,
WTI
, and
WWI
were all significantly associated with hyperuricemia (
P
|
| doi_str_mv | 10.1007/s10067-024-06884-w |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153631592</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2928415298</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-a5bacd15333d79c3e343c78da5e06785e26912527ab832e652a927758d946feb3</originalsourceid><addsrcrecordid>eNqFkUtLJDEUhYM4aPv4Ay6kwI2bmsmzkriTxseAMJuZxaxCKrltR7pSbVJF0__etN0quNDNDdx854STg9AZwT8JxvJXLrORNaa8xo1SvF7toQnhjNdac72PJlhKXDOi1SE6yvkJY0yVJgfokClGBNVygv5f59y7YIfQx6qFYQUQKxuHeeqXfQdDCq4K0QcHuax9NV8vIY1lC12wV5Wt4qt0FTxUeRj9utDVdB6iPUE_ZnaR4XR3HqN_tzd_p_f1w5-739Prh9pxrIbaitY6TwRjzEvtGDDOnFTeCijhlADaaEIFlbZVjEIjqNVUSqG85s0MWnaMLre-y9Q_j5AH04XsYLGwEfoxm5KUNWVo-i1KNaVaYIpJQS8-oU_9mGIJsqEU33yfKhTdUi71OSeYmWUKnU1rQ7DZdGS2HZnSkXntyKyK6HxnPbYd-HfJWykFYFsgl6v4COnj7S9sXwDKn5w_</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2928415298</pqid></control><display><type>article</type><title>Association between anthropometric indices and hyperuricemia: a nationwide study in China</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Chen, Deshi ; Lu, Cihang ; Chen, Kang ; Liu, Tingting ; Li, Yongze ; Shan, Zhongyan ; Teng, Weiping</creator><creatorcontrib>Chen, Deshi ; Lu, Cihang ; Chen, Kang ; Liu, Tingting ; Li, Yongze ; Shan, Zhongyan ; Teng, Weiping ; Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE) ; the Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</creatorcontrib><description><![CDATA[This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (
BMI
), waist circumference (
WC
), a body shape index (
ABSI
), body roundness index (
BRI
), waist-to-height ratio (
WHtR
), lipid accumulation product (
LAP
), visceral adiposity index (
VAI
), triglyceride-glucose index (
TyG
), waist circumference-triglyceride index (
WTI
), and weight-adjusted waist index (
WWI
). The survey data obtained were disaggregated and analyzed according to sex and age.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
,
WTI
, and
WWI
were all significantly associated with hyperuricemia (
P
< 0.001). In the total population,
WTI
(
AUC
0.7015,
P
< 0.001) had the highest predictive power, and
WWI
(
AUC
0.5417,
P
< 0.001) had the lowest. In addition, after dividing the male and female populations,
LAP
(
AUC
0.6571,
P
< 0.001 for men;
AUC
0.7326,
P
< 0.001 for women) had the highest predictive power among both men and women. The
ABSI
(
AUC
0.5189,
P
< 0.001 for men;
AUC
0.5788,
P
< 0.001 for women) had the lowest predictive power among both men and women.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
, and
WTI
were positively correlated with the risk of hyperuricemia and serum uric acid concentrations in both sexes. Among the general population,
WTI
had the highest predictive power. After dividing the population by sex,
LAP
had the highest predictive power in both men and women.
Key Points
• Anthropometric indices are highly correlated with hyperuricemia. Waist circumference-triglyceride index (WTI) is first found to be associated with hyperuricemia, and it has high predictive power.
• The predictive power of anthropometric indices for hyperuricemia is more useful in women.
• The restricted cubic splines visually shows the ratio of anthropometric indices to hyperuricemia ratio and the patient’s serum uric acid concentration.]]></description><identifier>ISSN: 0770-3198</identifier><identifier>EISSN: 1434-9949</identifier><identifier>DOI: 10.1007/s10067-024-06884-w</identifier><identifier>PMID: 38315297</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adipose tissue ; adiposity ; Adult ; blood serum ; Body Mass Index ; Body measurements ; China ; China - epidemiology ; Cross-Sectional Studies ; Female ; females ; Humans ; Hyperuricemia ; Hyperuricemia - complications ; Hyperuricemia - epidemiology ; lipids ; Male ; males ; Medicine ; Medicine & Public Health ; Obesity - complications ; Original Article ; patients ; Rheumatology ; risk ; Risk Factors ; surveys ; Triglycerides ; Uric Acid ; waist ; Waist Circumference ; waist-to-height ratio ; Women</subject><ispartof>Clinical rheumatology, 2024-03, Vol.43 (3), p.907-920</ispartof><rights>The Author(s), under exclusive licence to International League of Associations for Rheumatology (ILAR) 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to International League of Associations for Rheumatology (ILAR).</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-a5bacd15333d79c3e343c78da5e06785e26912527ab832e652a927758d946feb3</citedby><cites>FETCH-LOGICAL-c408t-a5bacd15333d79c3e343c78da5e06785e26912527ab832e652a927758d946feb3</cites><orcidid>0009-0009-0541-6703</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10067-024-06884-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10067-024-06884-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38315297$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Deshi</creatorcontrib><creatorcontrib>Lu, Cihang</creatorcontrib><creatorcontrib>Chen, Kang</creatorcontrib><creatorcontrib>Liu, Tingting</creatorcontrib><creatorcontrib>Li, Yongze</creatorcontrib><creatorcontrib>Shan, Zhongyan</creatorcontrib><creatorcontrib>Teng, Weiping</creatorcontrib><creatorcontrib>Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</creatorcontrib><creatorcontrib>the Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</creatorcontrib><title>Association between anthropometric indices and hyperuricemia: a nationwide study in China</title><title>Clinical rheumatology</title><addtitle>Clin Rheumatol</addtitle><addtitle>Clin Rheumatol</addtitle><description><![CDATA[This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (
BMI
), waist circumference (
WC
), a body shape index (
ABSI
), body roundness index (
BRI
), waist-to-height ratio (
WHtR
), lipid accumulation product (
LAP
), visceral adiposity index (
VAI
), triglyceride-glucose index (
TyG
), waist circumference-triglyceride index (
WTI
), and weight-adjusted waist index (
WWI
). The survey data obtained were disaggregated and analyzed according to sex and age.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
,
WTI
, and
WWI
were all significantly associated with hyperuricemia (
P
< 0.001). In the total population,
WTI
(
AUC
0.7015,
P
< 0.001) had the highest predictive power, and
WWI
(
AUC
0.5417,
P
< 0.001) had the lowest. In addition, after dividing the male and female populations,
LAP
(
AUC
0.6571,
P
< 0.001 for men;
AUC
0.7326,
P
< 0.001 for women) had the highest predictive power among both men and women. The
ABSI
(
AUC
0.5189,
P
< 0.001 for men;
AUC
0.5788,
P
< 0.001 for women) had the lowest predictive power among both men and women.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
, and
WTI
were positively correlated with the risk of hyperuricemia and serum uric acid concentrations in both sexes. Among the general population,
WTI
had the highest predictive power. After dividing the population by sex,
LAP
had the highest predictive power in both men and women.
Key Points
• Anthropometric indices are highly correlated with hyperuricemia. Waist circumference-triglyceride index (WTI) is first found to be associated with hyperuricemia, and it has high predictive power.
• The predictive power of anthropometric indices for hyperuricemia is more useful in women.
• The restricted cubic splines visually shows the ratio of anthropometric indices to hyperuricemia ratio and the patient’s serum uric acid concentration.]]></description><subject>Adipose tissue</subject><subject>adiposity</subject><subject>Adult</subject><subject>blood serum</subject><subject>Body Mass Index</subject><subject>Body measurements</subject><subject>China</subject><subject>China - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>females</subject><subject>Humans</subject><subject>Hyperuricemia</subject><subject>Hyperuricemia - complications</subject><subject>Hyperuricemia - epidemiology</subject><subject>lipids</subject><subject>Male</subject><subject>males</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Obesity - complications</subject><subject>Original Article</subject><subject>patients</subject><subject>Rheumatology</subject><subject>risk</subject><subject>Risk Factors</subject><subject>surveys</subject><subject>Triglycerides</subject><subject>Uric Acid</subject><subject>waist</subject><subject>Waist Circumference</subject><subject>waist-to-height ratio</subject><subject>Women</subject><issn>0770-3198</issn><issn>1434-9949</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtLJDEUhYM4aPv4Ay6kwI2bmsmzkriTxseAMJuZxaxCKrltR7pSbVJF0__etN0quNDNDdx854STg9AZwT8JxvJXLrORNaa8xo1SvF7toQnhjNdac72PJlhKXDOi1SE6yvkJY0yVJgfokClGBNVygv5f59y7YIfQx6qFYQUQKxuHeeqXfQdDCq4K0QcHuax9NV8vIY1lC12wV5Wt4qt0FTxUeRj9utDVdB6iPUE_ZnaR4XR3HqN_tzd_p_f1w5-739Prh9pxrIbaitY6TwRjzEvtGDDOnFTeCijhlADaaEIFlbZVjEIjqNVUSqG85s0MWnaMLre-y9Q_j5AH04XsYLGwEfoxm5KUNWVo-i1KNaVaYIpJQS8-oU_9mGIJsqEU33yfKhTdUi71OSeYmWUKnU1rQ7DZdGS2HZnSkXntyKyK6HxnPbYd-HfJWykFYFsgl6v4COnj7S9sXwDKn5w_</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Chen, Deshi</creator><creator>Lu, Cihang</creator><creator>Chen, Kang</creator><creator>Liu, Tingting</creator><creator>Li, Yongze</creator><creator>Shan, Zhongyan</creator><creator>Teng, Weiping</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0009-0009-0541-6703</orcidid></search><sort><creationdate>20240301</creationdate><title>Association between anthropometric indices and hyperuricemia: a nationwide study in China</title><author>Chen, Deshi ; Lu, Cihang ; Chen, Kang ; Liu, Tingting ; Li, Yongze ; Shan, Zhongyan ; Teng, Weiping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-a5bacd15333d79c3e343c78da5e06785e26912527ab832e652a927758d946feb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adipose tissue</topic><topic>adiposity</topic><topic>Adult</topic><topic>blood serum</topic><topic>Body Mass Index</topic><topic>Body measurements</topic><topic>China</topic><topic>China - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>females</topic><topic>Humans</topic><topic>Hyperuricemia</topic><topic>Hyperuricemia - complications</topic><topic>Hyperuricemia - epidemiology</topic><topic>lipids</topic><topic>Male</topic><topic>males</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Obesity - complications</topic><topic>Original Article</topic><topic>patients</topic><topic>Rheumatology</topic><topic>risk</topic><topic>Risk Factors</topic><topic>surveys</topic><topic>Triglycerides</topic><topic>Uric Acid</topic><topic>waist</topic><topic>Waist Circumference</topic><topic>waist-to-height ratio</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Deshi</creatorcontrib><creatorcontrib>Lu, Cihang</creatorcontrib><creatorcontrib>Chen, Kang</creatorcontrib><creatorcontrib>Liu, Tingting</creatorcontrib><creatorcontrib>Li, Yongze</creatorcontrib><creatorcontrib>Shan, Zhongyan</creatorcontrib><creatorcontrib>Teng, Weiping</creatorcontrib><creatorcontrib>Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</creatorcontrib><creatorcontrib>the Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Clinical rheumatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Deshi</au><au>Lu, Cihang</au><au>Chen, Kang</au><au>Liu, Tingting</au><au>Li, Yongze</au><au>Shan, Zhongyan</au><au>Teng, Weiping</au><aucorp>Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</aucorp><aucorp>the Thyroid disorders, Iodine status and Diabetes Epidemiological Survey Group (TIDE)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between anthropometric indices and hyperuricemia: a nationwide study in China</atitle><jtitle>Clinical rheumatology</jtitle><stitle>Clin Rheumatol</stitle><addtitle>Clin Rheumatol</addtitle><date>2024-03-01</date><risdate>2024</risdate><volume>43</volume><issue>3</issue><spage>907</spage><epage>920</epage><pages>907-920</pages><issn>0770-3198</issn><eissn>1434-9949</eissn><abstract><![CDATA[This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (
BMI
), waist circumference (
WC
), a body shape index (
ABSI
), body roundness index (
BRI
), waist-to-height ratio (
WHtR
), lipid accumulation product (
LAP
), visceral adiposity index (
VAI
), triglyceride-glucose index (
TyG
), waist circumference-triglyceride index (
WTI
), and weight-adjusted waist index (
WWI
). The survey data obtained were disaggregated and analyzed according to sex and age.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
,
WTI
, and
WWI
were all significantly associated with hyperuricemia (
P
< 0.001). In the total population,
WTI
(
AUC
0.7015,
P
< 0.001) had the highest predictive power, and
WWI
(
AUC
0.5417,
P
< 0.001) had the lowest. In addition, after dividing the male and female populations,
LAP
(
AUC
0.6571,
P
< 0.001 for men;
AUC
0.7326,
P
< 0.001 for women) had the highest predictive power among both men and women. The
ABSI
(
AUC
0.5189,
P
< 0.001 for men;
AUC
0.5788,
P
< 0.001 for women) had the lowest predictive power among both men and women.
BMI
,
WC
,
BRI
,
WHtR
,
LAP
,
VAI
,
TyG
, and
WTI
were positively correlated with the risk of hyperuricemia and serum uric acid concentrations in both sexes. Among the general population,
WTI
had the highest predictive power. After dividing the population by sex,
LAP
had the highest predictive power in both men and women.
Key Points
• Anthropometric indices are highly correlated with hyperuricemia. Waist circumference-triglyceride index (WTI) is first found to be associated with hyperuricemia, and it has high predictive power.
• The predictive power of anthropometric indices for hyperuricemia is more useful in women.
• The restricted cubic splines visually shows the ratio of anthropometric indices to hyperuricemia ratio and the patient’s serum uric acid concentration.]]></abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38315297</pmid><doi>10.1007/s10067-024-06884-w</doi><tpages>14</tpages><orcidid>https://orcid.org/0009-0009-0541-6703</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0770-3198 |
| ispartof | Clinical rheumatology, 2024-03, Vol.43 (3), p.907-920 |
| issn | 0770-3198 1434-9949 |
| language | eng |
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| source | MEDLINE; SpringerLink Journals |
| subjects | Adipose tissue adiposity Adult blood serum Body Mass Index Body measurements China China - epidemiology Cross-Sectional Studies Female females Humans Hyperuricemia Hyperuricemia - complications Hyperuricemia - epidemiology lipids Male males Medicine Medicine & Public Health Obesity - complications Original Article patients Rheumatology risk Risk Factors surveys Triglycerides Uric Acid waist Waist Circumference waist-to-height ratio Women |
| title | Association between anthropometric indices and hyperuricemia: a nationwide study in China |
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