Suppr超能文献

美国国家科学院-国家研究委员会双胞胎登记处最新情况

Update on the NAS-NRC Twin Registry.

作者信息

Page William F

机构信息

Medical Follow-up Agency, Institute of Medicine, 500 Fifth Street NW, Washington, DC 20001, USA.

出版信息

Twin Res Hum Genet. 2006 Dec;9(6):985-7. doi: 10.1375/183242706779462417.

Abstract

The National Academy of Sciences-National Research Council (NAS-NRC) Twin Registry is one of the oldest, national population-based twin registries in the United States. It consists of 15,924 white male twin pairs born in the years 1917 to 1927 (inclusive), both of whom served in the armed forces, mostly during World War II. This article updates activity in this registry since the earlier 2002 article in Twin Research. The results of clinically based studies on dementia, Parkinson's disease, age-related macular degeneration, and primary osteoarthritis were published, as well as articles based on previously collected questionnaire data on chronic fatigue syndrome, functional limitations, and healthy aging. In addition, risk factor studies are being planned to merge clinical data with earlier collected risk factor data from questionnaires. Examination data from the subset of National Heart, Lung, and Blood Institute (NHLBI) twins resulted in a number of articles, including the relationship of endogenous sex hormones to coronary heart disease and morphological changes in aging brain structures. The NEO Five-Factor Personality Inventory (a paper-and-pencil self-administered questionnaire) has been fielded for the first time. A push to consolidate the various data holdings of the registry is being made.

摘要

美国国家科学院 - 国家研究委员会(NAS - NRC)双胞胎登记处是美国历史最悠久的基于全国人口的双胞胎登记处之一。它由1917年至1927年(含)出生的15924对白人男性双胞胎组成,两人都曾在军队服役,主要是在第二次世界大战期间。本文更新了自2002年早期发表在《双胞胎研究》上的文章以来该登记处的活动情况。发表了关于痴呆症、帕金森病、年龄相关性黄斑变性和原发性骨关节炎的临床研究结果,以及基于先前收集的关于慢性疲劳综合征、功能受限和健康老龄化的问卷数据的文章。此外,正在计划进行风险因素研究,以将临床数据与早期从问卷中收集的风险因素数据合并。对美国国立心肺血液研究所(NHLBI)双胞胎子集的检查数据产生了多篇文章,包括内源性性激素与冠心病的关系以及衰老脑结构的形态变化。首次采用了大五人格量表(一种纸笔式自我管理问卷)。正在努力整合登记处的各种数据。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验