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百岁人群中基于人群样本的简易精神状态检查的变异来源。

Sources of variation on the mini-mental state examination in a population-based sample of centenarians.

机构信息

Department of Psychological, Organizational, and Leadership Studies in Education, Temple University, Philadelphia, Pennsylvania 19122, USA.

出版信息

J Am Geriatr Soc. 2013 Aug;61(8):1369-76. doi: 10.1111/jgs.12370. Epub 2013 Jul 26.

Abstract

Centenarians represent a rare but rapidly growing segment of the oldest-old. This study presents item-level data from the Mini-Mental State Examination (MMSE) in a cross-sectional, population-based sample of 244 centenarians and near-centenarians (aged 98-108, 16% men, 21% African-American, 38% community dwelling) from the Georgia Centenarian Study (2001-2008) according to age, education, sex, race, and residential status. Multiple-Indicator Multiple-Cause (MIMIC) models were used to identify systematic domain-level differences in MMSE scores according to demographic characteristics in this age group. Indirect effects of age, educational attainment, race, and residential status were found on MMSE scores. Direct effects were limited to concentration for education and race and orientation for residential status. Mean levels of cognitive functioning in centenarians were low, with mean values below most commonly-used cutoffs. Overall scores on the MMSE differed as a function of age, education, race, and residential status, with differences in scale performance limited primarily to concentration and orientation and no evidence of interactions between centenarian characteristics. Adjusting for education was not sufficient to account for differences according to race, and adjusting for residential status was not sufficient to account for differences according to age.

摘要

百岁老人是最年长人群中一个罕见但快速增长的群体。本研究根据年龄、教育程度、性别、种族和居住状况,呈现了来自佐治亚州百岁老人研究(2001-2008 年)的 244 名百岁老人和接近百岁老人(年龄 98-108 岁,16%为男性,21%为非裔美国人,38%居住在社区)的简明精神状态检查(MMSE)的项目水平数据。多指标多原因(MIMIC)模型用于根据该年龄组的人口统计学特征确定 MMSE 评分中的系统域级差异。发现年龄、教育程度、种族和居住状况对 MMSE 评分有间接影响。直接影响仅限于教育和种族的集中程度以及居住状况的定向程度。百岁老人的认知功能平均水平较低,平均值低于常用的截止值。MMSE 的总体评分因年龄、教育、种族和居住状况而异,量表表现的差异主要局限于集中和定向,没有证据表明百岁老人特征之间存在相互作用。调整教育程度不足以解释种族差异,调整居住状况也不足以解释年龄差异。

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