Association between family history risk categories and prevalence of diabetes in Chinese population
To investigate the association between different family history risk categories and prevalence of diabetes in the Chinese population. The family history of diabetes was obtained from each subject, and an oral glucose tolerance test was performed for measuring the fasting and postload glucose and ins...
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| Veröffentlicht in: | PloS one 2015-02, Vol.10 (2), p.e0117044-e0117044 |
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| creator | Zhang, Jinping Yang, Zhaojun Xiao, Jianzhong Xing, Xiaoyan Lu, Juming Weng, Jianping Jia, Weiping Ji, Linong Shan, Zhongyan Liu, Jie Tian, Haoming Ji, Qiuhe Zhu, Dalong Ge, Jiapu Chen, Li Guo, Xiaohui Zhao, Zhigang Li, Qiang Zhou, Zhiguang Lin, Lixiang Wang, Na Yang, Wenying |
| description | To investigate the association between different family history risk categories and prevalence of diabetes in the Chinese population.
The family history of diabetes was obtained from each subject, and an oral glucose tolerance test was performed for measuring the fasting and postload glucose and insulin levels based on a national representative cross-sectional survey of 46,239 individuals (age ≥ 20 years) in the 2007-2008 China National Diabetes and Metabolism Disorders Study. The family history risk categories of diabetes were high, moderate, and average (FH2 and FH1: at least two generations and one generation of first-degree relatives with diabetes, respectively; FH0: no first-degree relatives with diabetes).
The age- and gender-adjusted prevalence rates of diabetes were 32.7% (95% confidence interval (CI): 26.4-39.7%) in FH2, 20.1% (95% CI: 18.2-22.1%) in FH1, and 8.4% (95% CI: 7.9-8.9%) in FH0 (P < 0.0001). The calculated homeostatic model assessment-estimated insulin resistance (HOMA-IR), Matsuda insulin sensitivity index (ISI), and insulinogenic index (ΔI30/ΔG30) values showed significant trending changes among the three risk categories, with the most negative effects in FH2. Multivariate logistic regression analysis showed that the odds ratios of having diabetes were 6.16 (95% CI: 4.46-8.50) and 2.86 (95% CI: 2.41-3.39) times higher in FH2 and FH1, respectively, than in FH0 after adjustment for classical risk factors for diabetes.
Family history risk categories of diabetes have a significant, independent, and graded association with the prevalence of this disease in the Chinese population. |
| doi_str_mv | 10.1371/journal.pone.0117044 |
| format | Article |
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The family history of diabetes was obtained from each subject, and an oral glucose tolerance test was performed for measuring the fasting and postload glucose and insulin levels based on a national representative cross-sectional survey of 46,239 individuals (age ≥ 20 years) in the 2007-2008 China National Diabetes and Metabolism Disorders Study. The family history risk categories of diabetes were high, moderate, and average (FH2 and FH1: at least two generations and one generation of first-degree relatives with diabetes, respectively; FH0: no first-degree relatives with diabetes).
The age- and gender-adjusted prevalence rates of diabetes were 32.7% (95% confidence interval (CI): 26.4-39.7%) in FH2, 20.1% (95% CI: 18.2-22.1%) in FH1, and 8.4% (95% CI: 7.9-8.9%) in FH0 (P < 0.0001). The calculated homeostatic model assessment-estimated insulin resistance (HOMA-IR), Matsuda insulin sensitivity index (ISI), and insulinogenic index (ΔI30/ΔG30) values showed significant trending changes among the three risk categories, with the most negative effects in FH2. Multivariate logistic regression analysis showed that the odds ratios of having diabetes were 6.16 (95% CI: 4.46-8.50) and 2.86 (95% CI: 2.41-3.39) times higher in FH2 and FH1, respectively, than in FH0 after adjustment for classical risk factors for diabetes.
Family history risk categories of diabetes have a significant, independent, and graded association with the prevalence of this disease in the Chinese population.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0117044</identifier><identifier>PMID: 25664814</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Categories ; China - epidemiology ; Confidence intervals ; Demographic aspects ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Diabetes Mellitus - metabolism ; Endocrinology ; Families & family life ; Family medical history ; Fasting ; Female ; Genetic aspects ; Genetics ; Glucose ; Glucose Intolerance - metabolism ; Glucose tolerance ; Glucose tolerance test ; Health risks ; Hospitals ; Humans ; Insulin ; Insulin - metabolism ; Insulin resistance ; Insulin Resistance - physiology ; Insulin Secretion ; Male ; Metabolic disorders ; Metabolism ; Middle Aged ; Obesity ; Physiological aspects ; Population ; Prevalence ; Prevalence studies (Epidemiology) ; Regression analysis ; Risk analysis ; Risk Factors ; Sensitivity analysis ; Statistical analysis ; Studies ; Young Adult</subject><ispartof>PloS one, 2015-02, Vol.10 (2), p.e0117044-e0117044</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Zhang 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>2015 Zhang et al 2015 Zhang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-5ecc1f19a13ff8ba61f0e193323cb3bb05d9b5d915aecba84416194bec809aa53</citedby><cites>FETCH-LOGICAL-c758t-5ecc1f19a13ff8ba61f0e193323cb3bb05d9b5d915aecba84416194bec809aa53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321835/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4321835/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25664814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Harry</contributor><creatorcontrib>Zhang, Jinping</creatorcontrib><creatorcontrib>Yang, Zhaojun</creatorcontrib><creatorcontrib>Xiao, Jianzhong</creatorcontrib><creatorcontrib>Xing, Xiaoyan</creatorcontrib><creatorcontrib>Lu, Juming</creatorcontrib><creatorcontrib>Weng, Jianping</creatorcontrib><creatorcontrib>Jia, Weiping</creatorcontrib><creatorcontrib>Ji, Linong</creatorcontrib><creatorcontrib>Shan, Zhongyan</creatorcontrib><creatorcontrib>Liu, Jie</creatorcontrib><creatorcontrib>Tian, Haoming</creatorcontrib><creatorcontrib>Ji, Qiuhe</creatorcontrib><creatorcontrib>Zhu, Dalong</creatorcontrib><creatorcontrib>Ge, Jiapu</creatorcontrib><creatorcontrib>Chen, Li</creatorcontrib><creatorcontrib>Guo, Xiaohui</creatorcontrib><creatorcontrib>Zhao, Zhigang</creatorcontrib><creatorcontrib>Li, Qiang</creatorcontrib><creatorcontrib>Zhou, Zhiguang</creatorcontrib><creatorcontrib>Lin, Lixiang</creatorcontrib><creatorcontrib>Wang, Na</creatorcontrib><creatorcontrib>Yang, Wenying</creatorcontrib><creatorcontrib>China National Diabetes and Metabolic Disorders Study Group</creatorcontrib><creatorcontrib>for the China National Diabetes and Metabolic Disorders Study Group</creatorcontrib><title>Association between family history risk categories and prevalence of diabetes in Chinese population</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To investigate the association between different family history risk categories and prevalence of diabetes in the Chinese population.
The family history of diabetes was obtained from each subject, and an oral glucose tolerance test was performed for measuring the fasting and postload glucose and insulin levels based on a national representative cross-sectional survey of 46,239 individuals (age ≥ 20 years) in the 2007-2008 China National Diabetes and Metabolism Disorders Study. The family history risk categories of diabetes were high, moderate, and average (FH2 and FH1: at least two generations and one generation of first-degree relatives with diabetes, respectively; FH0: no first-degree relatives with diabetes).
The age- and gender-adjusted prevalence rates of diabetes were 32.7% (95% confidence interval (CI): 26.4-39.7%) in FH2, 20.1% (95% CI: 18.2-22.1%) in FH1, and 8.4% (95% CI: 7.9-8.9%) in FH0 (P < 0.0001). The calculated homeostatic model assessment-estimated insulin resistance (HOMA-IR), Matsuda insulin sensitivity index (ISI), and insulinogenic index (ΔI30/ΔG30) values showed significant trending changes among the three risk categories, with the most negative effects in FH2. Multivariate logistic regression analysis showed that the odds ratios of having diabetes were 6.16 (95% CI: 4.46-8.50) and 2.86 (95% CI: 2.41-3.39) times higher in FH2 and FH1, respectively, than in FH0 after adjustment for classical risk factors for diabetes.
Family history risk categories of diabetes have a significant, independent, and graded association with the prevalence of this disease in the Chinese population.</description><subject>Adult</subject><subject>Categories</subject><subject>China - epidemiology</subject><subject>Confidence intervals</subject><subject>Demographic aspects</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetes Mellitus - metabolism</subject><subject>Endocrinology</subject><subject>Families & family life</subject><subject>Family medical history</subject><subject>Fasting</subject><subject>Female</subject><subject>Genetic aspects</subject><subject>Genetics</subject><subject>Glucose</subject><subject>Glucose Intolerance - metabolism</subject><subject>Glucose tolerance</subject><subject>Glucose tolerance test</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Insulin</subject><subject>Insulin - metabolism</subject><subject>Insulin resistance</subject><subject>Insulin Resistance - physiology</subject><subject>Insulin Secretion</subject><subject>Male</subject><subject>Metabolic disorders</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Obesity</subject><subject>Physiological aspects</subject><subject>Population</subject><subject>Prevalence</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Sensitivity analysis</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEnzMe2NMAx-DCws-HUb0vRkJmsmqUm7Ov_edKa7TGUvJJSU5Hnfk5yck2XPMZpjssDvrn0fnLTz1juYI4wXiNIH2TmuSDHjBSIPT_7PsicxXiPESMn54-ysYJzTEtPzTC1j9MrIzniX19D9BnC5ljtj9_nWxM6HfR5M_Jkr2cHGBwMxl67J2wA30oJTkHudN0YmbdoyLl9tjYMIeevb3h58n2aPtLQRno3zRfb944dvq8-zy6tP69XycqYWrOxmDJTCGlcSE63LWnKsEaQrkIKomtQ1Yk1Vpw8zCaqWJaWY44rWoEpUScnIRfby6NtaH8WYnygwZwWvGF2QRKyPROPltWiD2cmwF14acVjwYSNk6IyyIFRT6BLqZsGgpJxWFdaMoRKXhIAseJm83o_R-noHjQLXBWknptMdZ7Zi428EJUVyGY77ZjQI_lcPsRM7ExVYKx34_nBuukCYkyHWq3_Q-283Upv0MsI47VNcNZiKJS1SLZQYD17ze6g0GtgZlYpJm7Q-EbydCBLTwZ9uI_sYxfrrl_9nr35M2dcn7Bak7bbR234omTgF6RFUwccYQN8lGSMx9MJtNsTQC2LshSR7cfpAd6Lb4id_AXPLBRU</recordid><startdate>20150209</startdate><enddate>20150209</enddate><creator>Zhang, 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between family history risk categories and prevalence of diabetes in Chinese population</title><author>Zhang, Jinping ; Yang, Zhaojun ; Xiao, Jianzhong ; Xing, Xiaoyan ; Lu, Juming ; Weng, Jianping ; Jia, Weiping ; Ji, Linong ; Shan, Zhongyan ; Liu, Jie ; Tian, Haoming ; Ji, Qiuhe ; Zhu, Dalong ; Ge, Jiapu ; Chen, Li ; Guo, Xiaohui ; Zhao, Zhigang ; Li, Qiang ; Zhou, Zhiguang ; Lin, Lixiang ; Wang, Na ; Yang, Wenying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-5ecc1f19a13ff8ba61f0e193323cb3bb05d9b5d915aecba84416194bec809aa53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Categories</topic><topic>China - epidemiology</topic><topic>Confidence intervals</topic><topic>Demographic aspects</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetes Mellitus - metabolism</topic><topic>Endocrinology</topic><topic>Families & family life</topic><topic>Family medical history</topic><topic>Fasting</topic><topic>Female</topic><topic>Genetic aspects</topic><topic>Genetics</topic><topic>Glucose</topic><topic>Glucose Intolerance - metabolism</topic><topic>Glucose tolerance</topic><topic>Glucose tolerance test</topic><topic>Health risks</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Insulin</topic><topic>Insulin - metabolism</topic><topic>Insulin resistance</topic><topic>Insulin Resistance - physiology</topic><topic>Insulin Secretion</topic><topic>Male</topic><topic>Metabolic disorders</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Obesity</topic><topic>Physiological aspects</topic><topic>Population</topic><topic>Prevalence</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Sensitivity analysis</topic><topic>Statistical 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one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Jinping</au><au>Yang, Zhaojun</au><au>Xiao, Jianzhong</au><au>Xing, Xiaoyan</au><au>Lu, Juming</au><au>Weng, Jianping</au><au>Jia, Weiping</au><au>Ji, Linong</au><au>Shan, Zhongyan</au><au>Liu, Jie</au><au>Tian, Haoming</au><au>Ji, Qiuhe</au><au>Zhu, Dalong</au><au>Ge, Jiapu</au><au>Chen, Li</au><au>Guo, Xiaohui</au><au>Zhao, Zhigang</au><au>Li, Qiang</au><au>Zhou, Zhiguang</au><au>Lin, Lixiang</au><au>Wang, Na</au><au>Yang, Wenying</au><au>Zhang, Harry</au><aucorp>China National Diabetes and Metabolic Disorders Study Group</aucorp><aucorp>for the China National Diabetes and Metabolic Disorders Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between family history risk categories and prevalence of diabetes in Chinese population</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-02-09</date><risdate>2015</risdate><volume>10</volume><issue>2</issue><spage>e0117044</spage><epage>e0117044</epage><pages>e0117044-e0117044</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To investigate the association between different family history risk categories and prevalence of diabetes in the Chinese population.
The family history of diabetes was obtained from each subject, and an oral glucose tolerance test was performed for measuring the fasting and postload glucose and insulin levels based on a national representative cross-sectional survey of 46,239 individuals (age ≥ 20 years) in the 2007-2008 China National Diabetes and Metabolism Disorders Study. The family history risk categories of diabetes were high, moderate, and average (FH2 and FH1: at least two generations and one generation of first-degree relatives with diabetes, respectively; FH0: no first-degree relatives with diabetes).
The age- and gender-adjusted prevalence rates of diabetes were 32.7% (95% confidence interval (CI): 26.4-39.7%) in FH2, 20.1% (95% CI: 18.2-22.1%) in FH1, and 8.4% (95% CI: 7.9-8.9%) in FH0 (P < 0.0001). The calculated homeostatic model assessment-estimated insulin resistance (HOMA-IR), Matsuda insulin sensitivity index (ISI), and insulinogenic index (ΔI30/ΔG30) values showed significant trending changes among the three risk categories, with the most negative effects in FH2. Multivariate logistic regression analysis showed that the odds ratios of having diabetes were 6.16 (95% CI: 4.46-8.50) and 2.86 (95% CI: 2.41-3.39) times higher in FH2 and FH1, respectively, than in FH0 after adjustment for classical risk factors for diabetes.
Family history risk categories of diabetes have a significant, independent, and graded association with the prevalence of this disease in the Chinese population.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25664814</pmid><doi>10.1371/journal.pone.0117044</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-02, Vol.10 (2), p.e0117044-e0117044 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1652695473 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adult Categories China - epidemiology Confidence intervals Demographic aspects Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Diabetes Mellitus - metabolism Endocrinology Families & family life Family medical history Fasting Female Genetic aspects Genetics Glucose Glucose Intolerance - metabolism Glucose tolerance Glucose tolerance test Health risks Hospitals Humans Insulin Insulin - metabolism Insulin resistance Insulin Resistance - physiology Insulin Secretion Male Metabolic disorders Metabolism Middle Aged Obesity Physiological aspects Population Prevalence Prevalence studies (Epidemiology) Regression analysis Risk analysis Risk Factors Sensitivity analysis Statistical analysis Studies Young Adult |
| title | Association between family history risk categories and prevalence of diabetes in Chinese population |
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