IR@PKUHSC  > 北京大学公共卫生学院
学科主题公共卫生
Multidimensional Assessment of Health Status in a Dependent Sample: An Exploratory Analysis for Adult Twins in China
Ning, Yan1; Gu, Danan2; Hu, Yonghua1; Ji, Wenyan1; Pang, Zengchang3; Wang, Shaojie3
关键词Twin Study Health Status Multidimensional Assessment Grade Of Membership
刊名TWIN RESEARCH AND HUMAN GENETICS
2010-10-01
13期:5页:465-474
收录类别SCI ; SSCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Genetics & Heredity ; Obstetrics & Gynecology
资助者China Medical Board ; China Medical Board
研究领域[WOS]Genetics & Heredity ; Obstetrics & Gynecology
关键词[WOS]MEMBERSHIP ANALYSIS ; PSYCHOMETRIC CHARACTERISTICS ; MATHEMATICAL TYPOLOGY ; SOCIAL NETWORKS ; OLDER-PEOPLE ; GRADE ; MORTALITY ; CLASSIFICATION ; COMMUNITY ; PATTERNS
英文摘要

Health is a multidimensional and continual concept. Traditional latent analytic approaches have inherent deficits in capturing the complex nature of the concept; however, the Grade of Membership (GoM) model is well suited for this problem. We applied the GoM method to a set of 31 indicators to construct ideal profiles of health status based on physical, mental and social support items among 848 adult twins from Qingdao, China. Four profiles were identified: healthy individuals (pure type I), individuals with personality disorders (pure type II), individuals with mental impairments (pure type III) and individuals with physical impairments (pure type IV). The most frequently occurring combination in this population was profiles I, II, IV (14.74%), followed by profiles I, II, Ill, IV (13.44%), and then type I (11.08%). Only 13.56% of subjects fell completely into one single pure type, most individuals exhibited some of the characteristics of two or more pure types. Our results indicated that, compared to conventional statistical methods, the GoM model was more suited to capture the complex concept of health, reflecting its multidimensionality and continuity, while also exhibiting preferable reliability. This study also made an important contribution to research on GoM application in non-independent samples.

语种英语
所属项目编号01-746
资助者China Medical Board ; China Medical Board
WOS记录号WOS:000283001300009
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/52568
Collection北京大学公共卫生学院
作者单位1.Peking Univ Hlth Sci Ctr, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing 100191, Peoples R China
2.Duke Univ, Ctr Study Aging & Human Dev, Durham, NC 27705 USA
3.Qingdao Ctr Dis Control & Prevent, Qingdao 266033, Peoples R China
Recommended Citation
GB/T 7714
Ning, Yan,Gu, Danan,Hu, Yonghua,et al. Multidimensional Assessment of Health Status in a Dependent Sample: An Exploratory Analysis for Adult Twins in China[J]. TWIN RESEARCH AND HUMAN GENETICS,2010,13(5):465-474.
APA Ning, Yan,Gu, Danan,Hu, Yonghua,Ji, Wenyan,Pang, Zengchang,&Wang, Shaojie.(2010).Multidimensional Assessment of Health Status in a Dependent Sample: An Exploratory Analysis for Adult Twins in China.TWIN RESEARCH AND HUMAN GENETICS,13(5),465-474.
MLA Ning, Yan,et al."Multidimensional Assessment of Health Status in a Dependent Sample: An Exploratory Analysis for Adult Twins in China".TWIN RESEARCH AND HUMAN GENETICS 13.5(2010):465-474.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
谷歌学术
谷歌学术Similar articles in
[Ning, Yan]'s Articles
[Gu, Danan]'s Articles
[Hu, Yonghua]'s Articles
百度学术
百度学术Similar articles in
[Ning, Yan]'s Articles
[Gu, Danan]'s Articles
[Hu, Yonghua]'s Articles
必应学术
必应学术Similar articles in
[Ning, Yan]'s Articles
[Gu, Danan]'s Articles
[Hu, Yonghua]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.