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Generating Large-Scale Longitudinal Data Resources for Aging Research
被引:6
作者:
Gallacher, John
[1
]
Hofer, Scott M.
[2
]
机构:
[1] Cardiff Univ, Dept Primary Care & Publ Hlth, Cardiff CF14 4YS, S Glam, Wales
[2] Univ Victoria, Dept Psychol, Victoria, BC V8W 2Y2, Canada
来源:
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
|
2011年
/
66卷
关键词:
GENE-ENVIRONMENT INTERACTIONS;
SOCIAL-SCIENCE;
ALCOHOL;
ASSOCIATION;
DISEASES;
COHORTS;
HEALTH;
SAMPLE;
SPAN;
RISK;
D O I:
10.1093/geronb/gbr047
中图分类号:
R592 [老年病学];
C [社会科学总论];
学科分类号:
03 ;
0303 ;
100203 ;
摘要:
Objectives. The need for large studies and the types of large-scale data resources (LSDRs) are discussed along with their general scientific utility, role in aging research, and affordability. The diversification of approaches to large-scale data resourcing is described in order to facilitate their use in aging research. Methods. The need for LSDRs is discussed in terms of (a) large sample size; (b) longitudinal design; (c) as platforms for additional investigator-initiated research projects; and (d) broad-based access to core genetic, biological, and phenotypic data. Discussion. It is concluded that a "lite-touch, lo-tech, lo-cost" approach to LSDRs is a viable strategy for the development of LSDRs and would enhance the likelihood of LSDRs being established which are dedicated to the wide range of important aging-related issues.
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页码:172 / 179
页数:8
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