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.

引用

页码：172 / 179

页数：8

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