File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Impact on calcification of aortic arch by lifestyle-related, physiologic and biochemical factors

TitleImpact on calcification of aortic arch by lifestyle-related, physiologic and biochemical factors
主動脈弓鈣化影響因素的調查與分析
Authors
Issue Date2009
PublisherChinese Medical Association [中華醫學會]. The Journal's web site is located at http://zhlxbx.periodicals.net.cn/
Citation
Chinese Journal of Epidemiology, 2009, v. 30 n. 8, p. 776-779 How to Cite?
中華流行病學雜誌, 2009, v. 30 n. 8, p. 776-779 How to Cite?
AbstractOBJECTIVE: To explore the impact of lifestyle-related, physiological and biochemical factors on aortic arch calcification (AAC). METHODS: 20 430 subjects aged 50 to 85 years were included in this study from the first and second recruitment phase of the Guangzhou Biobank Cohort Study. All the subjects received face-to-face interviews to collect detailed information on their socio-demographic background, occupational exposures, living environment, lifestyle, family and personal disease histories, and received a physical examination and tests including 12-lead ECG, chest radiograph, and pulmonary function testing. Each subject was screened for a range of fasting biochemical parameters. Radiographs were reviewed by two senior radiologists. 300 radiographs were independently read by the two radiologists to assess agreement using Kappa coefficient. Logistic regression was used to assess the association between life style, physiological and biochemical factors and AAC. RESULTS: (1) The rate of agreement on diagnosis for the two radiologists was 85% and Kappa coefficient was 0.68 (P < 0.01) which showed a moderate agreement between the two radiologists. (2) Except hypertension, the subjects were significantly different on their lifestyle, physiological and biochemical factors in both men and women (P < 0.05). (3) AAC was significantly associated with older age, smoking status, LDL-C, and hypertension (P < 0.01) in both genders. ORs (95%CI) indicated the following results: age was 1.11 (1.10 - 1.12) in men and 1.12 (1.12 - 1.13) in women;smoking as 1.31 (1.17 - 1.47) in men and 1.31 (1.09 - 1.57) in women; LDL-C as 1.16 (1.06 - 1.27) in men and 1.38 (1.22 - 1.56) in women, hypertension as 1.33 (1.18 - 1.50) in men and 1.27 (1.18 - 1.38) in women. However, diabetes was found to be associated with an increased risk of AAC in women [OR(95%CI)] 1.38 (1.22 - 1.56). CONCLUSION: Age, smoking, hypertension and Low-density lipoprotein level were risk factors to both genders, on AAC, while diabetes increased the risk of AAC, in women.
目的探討生活習慣及生理生化因素對主動脈弓鈣化(AAC)的影響.方法收集'廣州生物庫隊列研究'第一、二期的研究對象20430名,年齡50~85歲的基線資料,體格檢查、實驗室檢查和胸部X線的AAC診斷結果及詳細的問卷調查數據;用logistic回歸分析某些生活習慣及生理生化因素與AAC患病率之間的關係.結果(1)2名高級放射診斷醫師獨立閱片對AAC診斷符合率為85%,Kappa值為0.68(P<0.01),顯示AAC診斷是可靠的;(2)除血壓外,男女性在某些生理生化特徵上有明顯差別(P< 0.05);(3)年齡、吸煙、LDL-C及高血壓是男女性患AAC的危險因素(P<0.01),其OR值(95%CI):年齡男性為1.11(1.10~1.12),女性1.12(1.12~1.13);吸煙男性為1.31(1.17~1.47),女性1.31(1.09~1.57);LDL-C男性為1.16(1.06~1.27),女性為1.38(1.22~1.56);高血壓男性為1.33(1.18~1.50),女性為1.27(1.18~1.38);女性患糖尿病增加患AAC的風險(P<0.001),其OR值(95%CI)為1.38(1.22~1.56).結論年齡、吸煙、高血壓、LDL-C是患AAC的危險因素,糖尿病增加女性患AAC的風險.
Persistent Identifierhttp://hdl.handle.net/10722/151712
ISSN
2015 SCImago Journal Rankings: 0.191

 

DC FieldValueLanguage
dc.contributor.authorZhou, HLen_US
dc.contributor.authorJiang, CQen_US
dc.contributor.authorLam, THen_US
dc.contributor.authorCheng, KKen_US
dc.contributor.authorLiu, Ben_US
dc.contributor.authorZhang, WSen_US
dc.contributor.authorXu, Len_US
dc.contributor.authorJin, YLen_US
dc.contributor.authorZhu, Ten_US
dc.contributor.authorGn, Ten_US
dc.date.accessioned2012-06-26T06:26:59Z-
dc.date.available2012-06-26T06:26:59Z-
dc.date.issued2009en_US
dc.identifier.citationChinese Journal of Epidemiology, 2009, v. 30 n. 8, p. 776-779en_US
dc.identifier.citation中華流行病學雜誌, 2009, v. 30 n. 8, p. 776-779-
dc.identifier.issn0254-6450en_US
dc.identifier.urihttp://hdl.handle.net/10722/151712-
dc.description.abstractOBJECTIVE: To explore the impact of lifestyle-related, physiological and biochemical factors on aortic arch calcification (AAC). METHODS: 20 430 subjects aged 50 to 85 years were included in this study from the first and second recruitment phase of the Guangzhou Biobank Cohort Study. All the subjects received face-to-face interviews to collect detailed information on their socio-demographic background, occupational exposures, living environment, lifestyle, family and personal disease histories, and received a physical examination and tests including 12-lead ECG, chest radiograph, and pulmonary function testing. Each subject was screened for a range of fasting biochemical parameters. Radiographs were reviewed by two senior radiologists. 300 radiographs were independently read by the two radiologists to assess agreement using Kappa coefficient. Logistic regression was used to assess the association between life style, physiological and biochemical factors and AAC. RESULTS: (1) The rate of agreement on diagnosis for the two radiologists was 85% and Kappa coefficient was 0.68 (P < 0.01) which showed a moderate agreement between the two radiologists. (2) Except hypertension, the subjects were significantly different on their lifestyle, physiological and biochemical factors in both men and women (P < 0.05). (3) AAC was significantly associated with older age, smoking status, LDL-C, and hypertension (P < 0.01) in both genders. ORs (95%CI) indicated the following results: age was 1.11 (1.10 - 1.12) in men and 1.12 (1.12 - 1.13) in women;smoking as 1.31 (1.17 - 1.47) in men and 1.31 (1.09 - 1.57) in women; LDL-C as 1.16 (1.06 - 1.27) in men and 1.38 (1.22 - 1.56) in women, hypertension as 1.33 (1.18 - 1.50) in men and 1.27 (1.18 - 1.38) in women. However, diabetes was found to be associated with an increased risk of AAC in women [OR(95%CI)] 1.38 (1.22 - 1.56). CONCLUSION: Age, smoking, hypertension and Low-density lipoprotein level were risk factors to both genders, on AAC, while diabetes increased the risk of AAC, in women.en_US
dc.description.abstract目的探討生活習慣及生理生化因素對主動脈弓鈣化(AAC)的影響.方法收集'廣州生物庫隊列研究'第一、二期的研究對象20430名,年齡50~85歲的基線資料,體格檢查、實驗室檢查和胸部X線的AAC診斷結果及詳細的問卷調查數據;用logistic回歸分析某些生活習慣及生理生化因素與AAC患病率之間的關係.結果(1)2名高級放射診斷醫師獨立閱片對AAC診斷符合率為85%,Kappa值為0.68(P<0.01),顯示AAC診斷是可靠的;(2)除血壓外,男女性在某些生理生化特徵上有明顯差別(P< 0.05);(3)年齡、吸煙、LDL-C及高血壓是男女性患AAC的危險因素(P<0.01),其OR值(95%CI):年齡男性為1.11(1.10~1.12),女性1.12(1.12~1.13);吸煙男性為1.31(1.17~1.47),女性1.31(1.09~1.57);LDL-C男性為1.16(1.06~1.27),女性為1.38(1.22~1.56);高血壓男性為1.33(1.18~1.50),女性為1.27(1.18~1.38);女性患糖尿病增加患AAC的風險(P<0.001),其OR值(95%CI)為1.38(1.22~1.56).結論年齡、吸煙、高血壓、LDL-C是患AAC的危險因素,糖尿病增加女性患AAC的風險.-
dc.languagechien_US
dc.publisherChinese Medical Association [中華醫學會]. The Journal's web site is located at http://zhlxbx.periodicals.net.cn/zh_HK
dc.relation.ispartofChinese Journal of Epidemiologyen_US
dc.relation.ispartof中華流行病學雜誌-
dc.subject.meshAorta, Thoracic (主動脈胸)en_US
dc.subject.meshCohort Studies (隊列研究)en_US
dc.subject.meshLogistic Models (Logistic模型)en_US
dc.subject.meshHabits (習慣)-
dc.subject.meshPhysical Examination (體格檢查)-
dc.titleImpact on calcification of aortic arch by lifestyle-related, physiologic and biochemical factorsen_US
dc.title主動脈弓鈣化影響因素的調查與分析-
dc.typeArticleen_US
dc.identifier.emailLam, TH:hrmrlth@hkucc.hku.hken_US
dc.identifier.authorityLam, TH=rp00326en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.pmid20193196-
dc.identifier.scopuseid_2-s2.0-77952470313en_US
dc.identifier.hkuros169115-
dc.identifier.volume30en_US
dc.identifier.issue8en_US
dc.identifier.spage776en_US
dc.identifier.epage779en_US
dc.publisher.placeChina (中國)en_US
dc.identifier.scopusauthoridZhou, HL=36057841800en_US
dc.identifier.scopusauthoridJiang, CQ=10639500500en_US
dc.identifier.scopusauthoridLam, TH=7202522876en_US
dc.identifier.scopusauthoridCheng, KK=34876395100en_US
dc.identifier.scopusauthoridLiu, B=7408690994en_US
dc.identifier.scopusauthoridZhang, WS=13410704100en_US
dc.identifier.scopusauthoridXu, L=7404744449en_US
dc.identifier.scopusauthoridJin, YL=35558481400en_US
dc.identifier.scopusauthoridZhu, T=50462853100en_US
dc.identifier.scopusauthoridGn, T=36056293900en_US
dc.customcontrol.immutablecsl 140925-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats