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Article: Determinants of normoglycemia and contribution to cardiovascular risk factors in a Chinese population: The Hong Kong Cardiovascular Risk Factor Study

TitleDeterminants of normoglycemia and contribution to cardiovascular risk factors in a Chinese population: The Hong Kong Cardiovascular Risk Factor Study
Authors
KeywordsChinese
Hong Kong
Lipids
Normoglycemia
Obesity
Issue Date2006
PublisherEditrice Kurtis srl.
Citation
Journal Of Endocrinological Investigation, 2006, v. 29 n. 6, p. 528-535 How to Cite?
AbstractBackground: Glucose intolerance is clearly associated with increasing risk of cardiovascular disease, but the association among increasing glycemia and cardiovascular risk factors, angina and coronary heart disease in normoglycemic subjects is less clear, particularly in Chinese. Methods: A total of 2763 subjects were recruited and the prevalence of glucose intolerance investigated, using fasting or 2-h 75-g oral glucose tolerance test (OGTT), glucose levels. Subjects normoglycemic by both criteria were selected and the relationship between glycemia and cardiovascular risk factors investigated using analysis of variance and stepwise multiple linear regression analyses. Results: 1931 (69.9%) subjects were normoglycemic by both tests. After adjustment for age and gender, quartiles of fasting and post-load glucose levels showed a clear positive relationship with cardiovascular risk factors, including obesity, blood pressure and lipid levels (p<0.001 for all). Additionally, other measures of glycemia and insulin resistance also dose-dependently increased with increasing fasting and post-load glucose levels (p<0.001 for all). Stepwise multiple regression showed that in females, age (standardised regression coefficient β (β)=0.23, p<0.001), insulin (β=0.17, p<0.001), waist circumference (β=0.11, p=0.007) were independently associated with fasting glucose levels; and body mass index (β=0.17, p<0.001), age (β=0.15, p<0.001) and triglycerides (β=0.15, p<0.001) were independently associated with post-load glucose levels. In males, age (β=0.19, p<0.001) and insulin (β=0.18, p<0.001) were independently associated with fasting glucose levels; and waist circumference (β=0.17, p<0.001), triglycerides (β=0.16, p<0.001) and insulin (β=0.12, p=0.001) were independently associated with post-load glucose levels. ©2006, Editrice Kurtis.
Persistent Identifierhttp://hdl.handle.net/10722/86421
ISSN
2021 Impact Factor: 5.467
2020 SCImago Journal Rankings: 1.034
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorThomas, GNen_HK
dc.contributor.authorMcGhee, SMen_HK
dc.contributor.authorSchooling, CMen_HK
dc.contributor.authorHo, SYen_HK
dc.contributor.authorLam, KSLen_HK
dc.contributor.authorJanus, EDen_HK
dc.contributor.authorLam, THen_HK
dc.contributor.authorCockram, CSen_HK
dc.contributor.authorFielding, Ren_HK
dc.contributor.authorHedley, AJen_HK
dc.contributor.authorHo, Pen_HK
dc.contributor.authorLau, CPen_HK
dc.contributor.authorLo, Men_HK
dc.contributor.authorLo, SLen_HK
dc.contributor.authorMa, PLen_HK
dc.contributor.authorMaserei, JRCen_HK
dc.contributor.authorTai, YTen_HK
dc.contributor.authorTomlinson, Ben_HK
dc.contributor.authorWong, SPen_HK
dc.contributor.authorWoo, JLFen_HK
dc.date.accessioned2010-09-06T09:16:48Z-
dc.date.available2010-09-06T09:16:48Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal Of Endocrinological Investigation, 2006, v. 29 n. 6, p. 528-535en_HK
dc.identifier.issn0391-4097en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86421-
dc.description.abstractBackground: Glucose intolerance is clearly associated with increasing risk of cardiovascular disease, but the association among increasing glycemia and cardiovascular risk factors, angina and coronary heart disease in normoglycemic subjects is less clear, particularly in Chinese. Methods: A total of 2763 subjects were recruited and the prevalence of glucose intolerance investigated, using fasting or 2-h 75-g oral glucose tolerance test (OGTT), glucose levels. Subjects normoglycemic by both criteria were selected and the relationship between glycemia and cardiovascular risk factors investigated using analysis of variance and stepwise multiple linear regression analyses. Results: 1931 (69.9%) subjects were normoglycemic by both tests. After adjustment for age and gender, quartiles of fasting and post-load glucose levels showed a clear positive relationship with cardiovascular risk factors, including obesity, blood pressure and lipid levels (p<0.001 for all). Additionally, other measures of glycemia and insulin resistance also dose-dependently increased with increasing fasting and post-load glucose levels (p<0.001 for all). Stepwise multiple regression showed that in females, age (standardised regression coefficient β (β)=0.23, p<0.001), insulin (β=0.17, p<0.001), waist circumference (β=0.11, p=0.007) were independently associated with fasting glucose levels; and body mass index (β=0.17, p<0.001), age (β=0.15, p<0.001) and triglycerides (β=0.15, p<0.001) were independently associated with post-load glucose levels. In males, age (β=0.19, p<0.001) and insulin (β=0.18, p<0.001) were independently associated with fasting glucose levels; and waist circumference (β=0.17, p<0.001), triglycerides (β=0.16, p<0.001) and insulin (β=0.12, p=0.001) were independently associated with post-load glucose levels. ©2006, Editrice Kurtis.en_HK
dc.languageengen_HK
dc.publisherEditrice Kurtis srl.en_HK
dc.relation.ispartofJournal of Endocrinological Investigationen_HK
dc.subjectChineseen_HK
dc.subjectHong Kongen_HK
dc.subjectLipidsen_HK
dc.subjectNormoglycemiaen_HK
dc.subjectObesityen_HK
dc.subject.meshAdulten_HK
dc.subject.meshAgeden_HK
dc.subject.meshBlood Glucose - metabolismen_HK
dc.subject.meshBlood Pressureen_HK
dc.subject.meshCardiovascular Diseases - etiologyen_HK
dc.subject.meshChina - ethnologyen_HK
dc.subject.meshFastingen_HK
dc.subject.meshFemaleen_HK
dc.subject.meshGlucose Tolerance Testen_HK
dc.subject.meshHong Kongen_HK
dc.subject.meshHumansen_HK
dc.subject.meshMaleen_HK
dc.subject.meshMetabolic Syndrome X - complicationsen_HK
dc.subject.meshMiddle Ageden_HK
dc.subject.meshObesity - complicationsen_HK
dc.subject.meshReference Valuesen_HK
dc.subject.meshRegression Analysisen_HK
dc.subject.meshRisk Factorsen_HK
dc.titleDeterminants of normoglycemia and contribution to cardiovascular risk factors in a Chinese population: The Hong Kong Cardiovascular Risk Factor Studyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0391-4097&volume=29&spage=528&epage=535&date=2006&atitle=Determinants+of+normoglycemia+and+contribution+to+cardiovascular+risk+factors+in+a+Chinese+population:+The+Hong+Kong+cardiovascular+risk+factor+studyen_HK
dc.identifier.emailMcGhee, SM:smmcghee@hkucc.hku.hken_HK
dc.identifier.emailSchooling, CM:cms1@hkucc.hku.hken_HK
dc.identifier.emailHo, SY:syho@hku.hken_HK
dc.identifier.emailLam, KSL:ksllam@hku.hken_HK
dc.identifier.emailLam, TH:hrmrlth@hkucc.hku.hken_HK
dc.identifier.emailFielding, R:fielding@hku.hken_HK
dc.identifier.emailHedley, AJ:hrmrajh@hkucc.hku.hken_HK
dc.identifier.emailHo, P:hwl2002@hku.hken_HK
dc.identifier.authorityMcGhee, SM=rp00393en_HK
dc.identifier.authoritySchooling, CM=rp00504en_HK
dc.identifier.authorityHo, SY=rp00427en_HK
dc.identifier.authorityLam, KSL=rp00343en_HK
dc.identifier.authorityLam, TH=rp00326en_HK
dc.identifier.authorityFielding, R=rp00339en_HK
dc.identifier.authorityHedley, AJ=rp00357en_HK
dc.identifier.authorityHo, P=rp00259en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/BF03344143-
dc.identifier.pmid16840831-
dc.identifier.scopuseid_2-s2.0-33746727599en_HK
dc.identifier.hkuros118604en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33746727599&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume29en_HK
dc.identifier.issue6en_HK
dc.identifier.spage528en_HK
dc.identifier.epage535en_HK
dc.identifier.isiWOS:000239290000008-
dc.publisher.placeItalyen_HK
dc.identifier.scopusauthoridThomas, GN=35465269900en_HK
dc.identifier.scopusauthoridMcGhee, SM=7003288588en_HK
dc.identifier.scopusauthoridSchooling, CM=12808565000en_HK
dc.identifier.scopusauthoridHo, SY=7403716884en_HK
dc.identifier.scopusauthoridLam, KSL=8082870600en_HK
dc.identifier.scopusauthoridJanus, ED=7006936536en_HK
dc.identifier.scopusauthoridLam, TH=7202522876en_HK
dc.identifier.scopusauthoridCockram, CS=7006379262en_HK
dc.identifier.scopusauthoridFielding, R=7102200484en_HK
dc.identifier.scopusauthoridHedley, AJ=7102584095en_HK
dc.identifier.scopusauthoridHo, P=25027612100en_HK
dc.identifier.scopusauthoridLau, CP=7401968501en_HK
dc.identifier.scopusauthoridLo, M=7101896940en_HK
dc.identifier.scopusauthoridLo, SL=14056531100en_HK
dc.identifier.scopusauthoridMa, PL=14056500600en_HK
dc.identifier.scopusauthoridMaserei, JRC=7801482789en_HK
dc.identifier.scopusauthoridTai, YT=7201916438en_HK
dc.identifier.scopusauthoridTomlinson, B=16423466900en_HK
dc.identifier.scopusauthoridWong, SP=7404589502en_HK
dc.identifier.scopusauthoridWoo, JLF=36040369400en_HK
dc.identifier.issnl0391-4097-

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