Association between family history risk categories and prevalence of diabetes in chinese population

10.1371/journal.pone.0117044

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Main Authors: Zhang J., Yang Z., Xiao J., Xing X., Lu J., Weng J., Jia W., Ji L., Shan Z., Liu J., Tian H., Ji Q., Zhu D., Ge J., Chen L., Guo X., Zhao Z., Li Q., Zhou Z., Lin L., Wang N., Yang W.
Other Authors: CHEMICAL & BIOMOLECULAR ENGINEERING
Format: Article
Published: 2019
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/161746
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1617462024-03-26T08:57:22Z Association between family history risk categories and prevalence of diabetes in chinese population Zhang J. Yang Z. Xiao J. Xing X. Lu J. Weng J. Jia W. Ji L. Shan Z. Liu J. Tian H. Ji Q. Zhu D. Ge J. Chen L. Guo X. Zhao Z. Li Q. Zhou Z. Lin L. Wang N. Yang W. CHEMICAL & BIOMOLECULAR ENGINEERING cholesterol glucose insulin low density lipoprotein cholesterol triacylglycerol insulin adult age distribution Article assessment of humans body mass Chinese classification comparative study controlled study cross-sectional study diabetes mellitus disease association family history female first degree relative glucose blood level high risk population homeostatic model assessment estimated insulin resistance human insulin blood level insulin release insulin resistance insulinogenic index low risk population major clinical study male Matsuda insulin sensitivity index middle aged obesity onset age oral glucose tolerance test prevalence retrospective study risk assessment risk factor trend study young adult China diabetes mellitus glucose intolerance metabolism physiology population prevalence secretion (process) Adult China Diabetes Mellitus Female Glucose Intolerance Humans Insulin Insulin Resistance Male Middle Aged Population Prevalence Risk Factors Young Adult 10.1371/journal.pone.0117044 PLoS ONE 10 2 e0117044 2019-11-07T05:02:12Z 2019-11-07T05:02:12Z 2015 Article Zhang J., Yang Z., Xiao J., Xing X., Lu J., Weng J., Jia W., Ji L., Shan Z., Liu J., Tian H., Ji Q., Zhu D., Ge J., Chen L., Guo X., Zhao Z., Li Q., Zhou Z., Lin L., Wang N., Yang W. (2015). Association between family history risk categories and prevalence of diabetes in chinese population. PLoS ONE 10 (2) : e0117044. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0117044 19326203 https://scholarbank.nus.edu.sg/handle/10635/161746 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic cholesterol
glucose
insulin
low density lipoprotein cholesterol
triacylglycerol
insulin
adult
age distribution
Article
assessment of humans
body mass
Chinese
classification
comparative study
controlled study
cross-sectional study
diabetes mellitus
disease association
family history
female
first degree relative
glucose blood level
high risk population
homeostatic model assessment estimated insulin resistance
human
insulin blood level
insulin release
insulin resistance
insulinogenic index
low risk population
major clinical study
male
Matsuda insulin sensitivity index
middle aged
obesity
onset age
oral glucose tolerance test
prevalence
retrospective study
risk assessment
risk factor
trend study
young adult
China
diabetes mellitus
glucose intolerance
metabolism
physiology
population
prevalence
secretion (process)
Adult
China
Diabetes Mellitus
Female
Glucose Intolerance
Humans
Insulin
Insulin Resistance
Male
Middle Aged
Population
Prevalence
Risk Factors
Young Adult
spellingShingle cholesterol
glucose
insulin
low density lipoprotein cholesterol
triacylglycerol
insulin
adult
age distribution
Article
assessment of humans
body mass
Chinese
classification
comparative study
controlled study
cross-sectional study
diabetes mellitus
disease association
family history
female
first degree relative
glucose blood level
high risk population
homeostatic model assessment estimated insulin resistance
human
insulin blood level
insulin release
insulin resistance
insulinogenic index
low risk population
major clinical study
male
Matsuda insulin sensitivity index
middle aged
obesity
onset age
oral glucose tolerance test
prevalence
retrospective study
risk assessment
risk factor
trend study
young adult
China
diabetes mellitus
glucose intolerance
metabolism
physiology
population
prevalence
secretion (process)
Adult
China
Diabetes Mellitus
Female
Glucose Intolerance
Humans
Insulin
Insulin Resistance
Male
Middle Aged
Population
Prevalence
Risk Factors
Young Adult
Zhang J.
Yang Z.
Xiao J.
Xing X.
Lu J.
Weng J.
Jia W.
Ji L.
Shan Z.
Liu J.
Tian H.
Ji Q.
Zhu D.
Ge J.
Chen L.
Guo X.
Zhao Z.
Li Q.
Zhou Z.
Lin L.
Wang N.
Yang W.
Association between family history risk categories and prevalence of diabetes in chinese population
description 10.1371/journal.pone.0117044
author2 CHEMICAL & BIOMOLECULAR ENGINEERING
author_facet CHEMICAL & BIOMOLECULAR ENGINEERING
Zhang J.
Yang Z.
Xiao J.
Xing X.
Lu J.
Weng J.
Jia W.
Ji L.
Shan Z.
Liu J.
Tian H.
Ji Q.
Zhu D.
Ge J.
Chen L.
Guo X.
Zhao Z.
Li Q.
Zhou Z.
Lin L.
Wang N.
Yang W.
format Article
author Zhang J.
Yang Z.
Xiao J.
Xing X.
Lu J.
Weng J.
Jia W.
Ji L.
Shan Z.
Liu J.
Tian H.
Ji Q.
Zhu D.
Ge J.
Chen L.
Guo X.
Zhao Z.
Li Q.
Zhou Z.
Lin L.
Wang N.
Yang W.
author_sort Zhang J.
title Association between family history risk categories and prevalence of diabetes in chinese population
title_short Association between family history risk categories and prevalence of diabetes in chinese population
title_full Association between family history risk categories and prevalence of diabetes in chinese population
title_fullStr Association between family history risk categories and prevalence of diabetes in chinese population
title_full_unstemmed Association between family history risk categories and prevalence of diabetes in chinese population
title_sort association between family history risk categories and prevalence of diabetes in chinese population
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/161746
_version_ 1795300777799974912