Sources of variation on the mini-mental state examination in a population-based sample of centenarians.
Sources of variation on the mini-mental state examination in a population-based sample of centenarians.
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DOI：
10.1111/jgs.12370
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发表时间：
2013-08
影响因子：
6.3
通讯作者：
Poon LW
中科院分区：
文献类型：
--
作者：
Dai T;Davey A;Woodard JL;Miller LS;Gondo Y;Kim SH;Poon LW
百岁老人是年龄最大的老年人中一个罕见但迅速增长的群体。这项研究展示了来自乔治亚州百岁老人研究(2001-2008年)的244名百岁老人和近百岁老人(年龄98-108岁，16%男性，21%非裔美国人，38%社区居住)的横断面人口样本中的条目水平数据(MMSE，M=16.2，SD=8.8，范围0-30)，按年龄、教育、性别、种族和居住状况划分。多指标多原因(MIMIC)模型被用来通过该年龄组的关键人口学特征来确定MMSE分数在领域水平上的系统性差异。年龄、教育程度、种族和居住状况对MMSE分数有间接影响。直接影响仅限于对教育和种族的集中，以及对居住地位的定位。百岁老人的平均认知功能水平较低，平均值低于最常用的临界值。MMSE的总分因年龄、教育程度、种族和居住状况的不同而不同，量表表现的差异主要限于注意力和方向性，没有证据表明百岁老人的特征之间存在交互作用。调整受教育程度不足以解释种族差异；调整居住地身份不足以解释年龄差异。
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, M=16.2, SD=8.8, Range 0–30) 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) by age, education, sex, race, and residential status. Multiple-Indicator Multiple-Causes (MIMIC) models were used to identify systematic domain-level differences on MMSE scores by key 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 cut-offs. 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, with no evidence for interactions among centenarian characteristics. Adjusting for education was not sufficient to account for differences by race; adjusting for residential status was not sufficient to account for differences by age.
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影响因子：
2.6
作者：
Matallana D;de Santacruz C;Cano C;Reyes P;Samper-Ternent R;Markides KS;Ottenbacher KJ;Reyes-Ortiz CA
通讯作者：
Reyes-Ortiz CA
使用因子混合物分析，认知功能的认知功能谱。
影响因子：
1.8
作者：
Davey A;Dai T;Woodard JL;Miller LS;Gondo Y;Johnson MA;Hausman DB;Martin P;Green RC;Allen RH;Stabler SP;Poon LW;Georgia Centenarian
通讯作者：
Georgia Centenarian
影响因子：
168.9
作者：
Christensen, Kaare;Doblhammer, Gabriele;Rau, Roland;Vaupel, James W.
通讯作者：
Vaupel, James W.
影响因子：
3
作者：
Morales, Leo S.;Flowers, Claudia;Teresi, Jeanne A.
通讯作者：
Teresi, Jeanne A.
DOI：
10.1093/gerona/glr250
发表时间：
2012-04-01
影响因子：
5.1
作者：
Poon, Leonard W.;Woodard, John L.;Markesbery, William
通讯作者：
Markesbery, William