Association between obesity indicators and cardiometabolic disease in Chinese adults

Obesity is an established risk factor for cardiometabolic disease. Different measurements of obesity with cardiometabolic disease have been compared in recent studies in Western countries. However, obesity-related criteria for the Chinese population differ from the standard World Health Organization...

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Veröffentlicht in:PloS one 2023-01, Vol.18 (1), p.e0273235-e0273235
Hauptverfasser: Wu, Jiang, Zou, Li, Liu, Yin, Yu, Hanbing, Yin, Hua, Zhong, Lisheng, Liu, Yifang, Fu, Wenning, Zhang, Shengchao
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Zou, Li
Liu, Yin
Yu, Hanbing
Yin, Hua
Zhong, Lisheng
Liu, Yifang
Fu, Wenning
Zhang, Shengchao
description Obesity is an established risk factor for cardiometabolic disease. Different measurements of obesity with cardiometabolic disease have been compared in recent studies in Western countries. However, obesity-related criteria for the Chinese population differ from the standard World Health Organization guidelines, and similar research in Chinese adults is limited. Data were obtained from a comprehensive intervention project involving a community population with cardiovascular and cerebrovascular risk factors in Shenzhen in 2015. A total of 4,000 participants (1,605 men and 2,395 women) with a mean age of 56.01±9.78 years were included in this study. Categorical data are reported as percentages, and continuous data are reported as mean ± standard deviation. Logistic regression analyses were conducted to examine the associations of body mass index (BMI), waist circumference (WC), and neck circumference (NC) with hypertension, diabetes, and dyslipidemia among Chinese adults. The participants had a mean BMI of 24.25±3.33 kg/m2, mean NC of 33.59±4.16 cm, and mean WC of 82.44±9.84 cm (men: 85.46±9.10 cm, women: 80.40±9.81 cm). Blood pressure, plasma glucose, and lipid levels in the BMI, WC, and NC groups were statistically significant (p < 0.05). BMI, WC, and NC were positively correlated with systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol, and triglyceride and negatively correlated with low-density lipoprotein cholesterol (p < 0.05), while the risk of hypertension, diabetes, and dyslipidemia increased with an increase in BMI, WC, and NC (p < 0.05). One SD of BMI, WC, and NC resulted in an increase of 41%, 22%, and 31% risk of hypertension; 45%, 34%, and 47% risk of diabetes; and 37%, 32%, and 23% risk of dyslipidemia, respectively. Compared to BMI and NC, WC was more strongly associated with cardiometabolic diseases in Chinese adults.
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Different measurements of obesity with cardiometabolic disease have been compared in recent studies in Western countries. However, obesity-related criteria for the Chinese population differ from the standard World Health Organization guidelines, and similar research in Chinese adults is limited. Data were obtained from a comprehensive intervention project involving a community population with cardiovascular and cerebrovascular risk factors in Shenzhen in 2015. A total of 4,000 participants (1,605 men and 2,395 women) with a mean age of 56.01±9.78 years were included in this study. Categorical data are reported as percentages, and continuous data are reported as mean ± standard deviation. Logistic regression analyses were conducted to examine the associations of body mass index (BMI), waist circumference (WC), and neck circumference (NC) with hypertension, diabetes, and dyslipidemia among Chinese adults. The participants had a mean BMI of 24.25±3.33 kg/m2, mean NC of 33.59±4.16 cm, and mean WC of 82.44±9.84 cm (men: 85.46±9.10 cm, women: 80.40±9.81 cm). Blood pressure, plasma glucose, and lipid levels in the BMI, WC, and NC groups were statistically significant (p &lt; 0.05). BMI, WC, and NC were positively correlated with systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol, and triglyceride and negatively correlated with low-density lipoprotein cholesterol (p &lt; 0.05), while the risk of hypertension, diabetes, and dyslipidemia increased with an increase in BMI, WC, and NC (p &lt; 0.05). One SD of BMI, WC, and NC resulted in an increase of 41%, 22%, and 31% risk of hypertension; 45%, 34%, and 47% risk of diabetes; and 37%, 32%, and 23% risk of dyslipidemia, respectively. Compared to BMI and NC, WC was more strongly associated with cardiometabolic diseases in Chinese adults.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0273235</identifier><identifier>PMID: 36662790</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Age ; Aged ; Biology and Life Sciences ; Blood Glucose - analysis ; Blood pressure ; Body mass ; Body Mass Index ; Body measurements ; Body size ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - complications ; Cardiovascular Diseases - etiology ; China ; Cholesterol ; Chronic illnesses ; Community involvement ; Comparative analysis ; Complications and side effects ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Distribution ; Dyslipidemia ; Dyslipidemias - complications ; Dyslipidemias - epidemiology ; East Asian People ; Female ; Glucose ; Health aspects ; Health facilities ; Health risks ; High density lipoprotein ; Humans ; Hypertension ; Kurtosis ; Lipids ; Low density lipoproteins ; Male ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Men ; Metabolic diseases ; Metabolic disorders ; Middle Aged ; Obesity ; Obesity - complications ; Obesity - epidemiology ; Physical Sciences ; Prevention ; Public health ; Questionnaires ; Regression analysis ; Risk analysis ; Risk Factors ; Skewness ; Statistical analysis ; Triglycerides ; Waist Circumference ; Women ; Womens health</subject><ispartof>PloS one, 2023-01, Vol.18 (1), p.e0273235-e0273235</ispartof><rights>Copyright: © 2023 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Wu et al 2023 Wu et al</rights><rights>2023 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c641t-f4ad6cd1f3e5958280c26bd7190769df3555cedb745308ab814cb3815195f2473</cites><orcidid>0000-0002-9180-9133</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858028/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858028/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36662790$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Jiang</creatorcontrib><creatorcontrib>Zou, Li</creatorcontrib><creatorcontrib>Liu, Yin</creatorcontrib><creatorcontrib>Yu, Hanbing</creatorcontrib><creatorcontrib>Yin, Hua</creatorcontrib><creatorcontrib>Zhong, Lisheng</creatorcontrib><creatorcontrib>Liu, Yifang</creatorcontrib><creatorcontrib>Fu, Wenning</creatorcontrib><creatorcontrib>Zhang, Shengchao</creatorcontrib><title>Association between obesity indicators and cardiometabolic disease in Chinese adults</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Obesity is an established risk factor for cardiometabolic disease. Different measurements of obesity with cardiometabolic disease have been compared in recent studies in Western countries. However, obesity-related criteria for the Chinese population differ from the standard World Health Organization guidelines, and similar research in Chinese adults is limited. Data were obtained from a comprehensive intervention project involving a community population with cardiovascular and cerebrovascular risk factors in Shenzhen in 2015. A total of 4,000 participants (1,605 men and 2,395 women) with a mean age of 56.01±9.78 years were included in this study. Categorical data are reported as percentages, and continuous data are reported as mean ± standard deviation. Logistic regression analyses were conducted to examine the associations of body mass index (BMI), waist circumference (WC), and neck circumference (NC) with hypertension, diabetes, and dyslipidemia among Chinese adults. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Jiang</au><au>Zou, Li</au><au>Liu, Yin</au><au>Yu, Hanbing</au><au>Yin, Hua</au><au>Zhong, Lisheng</au><au>Liu, Yifang</au><au>Fu, Wenning</au><au>Zhang, Shengchao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between obesity indicators and cardiometabolic disease in Chinese adults</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-01-20</date><risdate>2023</risdate><volume>18</volume><issue>1</issue><spage>e0273235</spage><epage>e0273235</epage><pages>e0273235-e0273235</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Obesity is an established risk factor for cardiometabolic disease. Different measurements of obesity with cardiometabolic disease have been compared in recent studies in Western countries. However, obesity-related criteria for the Chinese population differ from the standard World Health Organization guidelines, and similar research in Chinese adults is limited. Data were obtained from a comprehensive intervention project involving a community population with cardiovascular and cerebrovascular risk factors in Shenzhen in 2015. A total of 4,000 participants (1,605 men and 2,395 women) with a mean age of 56.01±9.78 years were included in this study. Categorical data are reported as percentages, and continuous data are reported as mean ± standard deviation. Logistic regression analyses were conducted to examine the associations of body mass index (BMI), waist circumference (WC), and neck circumference (NC) with hypertension, diabetes, and dyslipidemia among Chinese adults. The participants had a mean BMI of 24.25±3.33 kg/m2, mean NC of 33.59±4.16 cm, and mean WC of 82.44±9.84 cm (men: 85.46±9.10 cm, women: 80.40±9.81 cm). Blood pressure, plasma glucose, and lipid levels in the BMI, WC, and NC groups were statistically significant (p &lt; 0.05). BMI, WC, and NC were positively correlated with systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol, and triglyceride and negatively correlated with low-density lipoprotein cholesterol (p &lt; 0.05), while the risk of hypertension, diabetes, and dyslipidemia increased with an increase in BMI, WC, and NC (p &lt; 0.05). One SD of BMI, WC, and NC resulted in an increase of 41%, 22%, and 31% risk of hypertension; 45%, 34%, and 47% risk of diabetes; and 37%, 32%, and 23% risk of dyslipidemia, respectively. Compared to BMI and NC, WC was more strongly associated with cardiometabolic diseases in Chinese adults.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36662790</pmid><doi>10.1371/journal.pone.0273235</doi><tpages>e0273235</tpages><orcidid>https://orcid.org/0000-0002-9180-9133</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adult
Adults
Age
Aged
Biology and Life Sciences
Blood Glucose - analysis
Blood pressure
Body mass
Body Mass Index
Body measurements
Body size
Cardiovascular disease
Cardiovascular diseases
Cardiovascular Diseases - complications
Cardiovascular Diseases - etiology
China
Cholesterol
Chronic illnesses
Community involvement
Comparative analysis
Complications and side effects
Diabetes
Diabetes mellitus
Diabetes Mellitus - epidemiology
Distribution
Dyslipidemia
Dyslipidemias - complications
Dyslipidemias - epidemiology
East Asian People
Female
Glucose
Health aspects
Health facilities
Health risks
High density lipoprotein
Humans
Hypertension
Kurtosis
Lipids
Low density lipoproteins
Male
Medical research
Medicine and Health Sciences
Medicine, Experimental
Men
Metabolic diseases
Metabolic disorders
Middle Aged
Obesity
Obesity - complications
Obesity - epidemiology
Physical Sciences
Prevention
Public health
Questionnaires
Regression analysis
Risk analysis
Risk Factors
Skewness
Statistical analysis
Triglycerides
Waist Circumference
Women
Womens health
title Association between obesity indicators and cardiometabolic disease in Chinese adults
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