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本文引用的文献

1
Affect and Cognition.情感与认知。
Perspect Psychol Sci. 2008 Mar;3(2):94-101. doi: 10.1111/j.1745-6916.2008.00067.x.
2
Life contexts make a difference: emotional stability in younger and older adults.生活背景造成差异:年轻人和老年人的情绪稳定性。
Psychol Aging. 2013 Mar;28(1):148-59. doi: 10.1037/a0030047. Epub 2012 Oct 15.
3
Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis.情绪是社区居住老年人认知表现的关键决定因素:一项横断面分析。
Age (Dordr). 2013 Oct;35(5):1983-93. doi: 10.1007/s11357-012-9482-y. Epub 2012 Oct 6.
4
Dysfunctional hippocampal activity affects emotion and cognition in mood disorders.功能失调的海马体活动会影响情绪障碍中的情绪和认知。
Brain Res. 2012 Oct 2;1476:58-70. doi: 10.1016/j.brainres.2012.03.053. Epub 2012 Apr 5.
5
Mood, motivation, and misinformation: aging and affective state influences on memory.情绪、动机和错误信息:年龄和情感状态对记忆的影响。
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2012;19(1-2):13-34. doi: 10.1080/13825585.2011.622740. Epub 2011 Nov 8.
6
Daily variability in working memory is coupled with negative affect: the role of attention and motivation.工作记忆的日常变化与负面情绪有关:注意力和动机的作用。
Emotion. 2012 Jun;12(3):605-17. doi: 10.1037/a0024436. Epub 2011 Jul 25.
7
Successful aging and longevity in older old women: the role of depression and cognition.高龄老年女性的成功衰老与长寿:抑郁和认知的作用。
J Aging Res. 2011;2011:912680. doi: 10.4061/2011/912680. Epub 2011 Jul 9.
8
Age-group differences in facets of positive and negative affect.各年龄段积极和消极情感的各个方面的差异。
Aging Ment Health. 2011 Aug;15(6):784-95. doi: 10.1080/13607863.2011.562184. Epub 2011 May 24.
9
Is seeking bad mood cognitively demanding? Contra-hedonic orientation and working-memory capacity in everyday life.在日常生活中,寻求不良情绪是否在认知上具有挑战性?反享乐取向与工作记忆容量。
Emotion. 2011 Jun;11(3):656-665. doi: 10.1037/a0022756.
10
The influence of positive mood on different aspects of cognitive control.积极情绪对认知控制不同方面的影响。
Cogn Emot. 2011 Feb;25(2):265-79. doi: 10.1080/02699931.2010.491652.

健康老年欧洲成年人的情绪和认知:Zenith 研究。

Mood and cognition in healthy older European adults: the Zenith study.

机构信息

Psychology Research Institute, University of Ulster, Londonderry, UK ; School of Psychology, University of Ulster, Cromore Road, BT521SA Coleraine, County Londonderry Northern Ireland.

Department of Psychology, University of Warwick, Coventry, UK.

出版信息

BMC Psychol. 2014 May 2;2(1):11. doi: 10.1186/2050-7283-2-11. eCollection 2014.

DOI:10.1186/2050-7283-2-11
PMID:25945252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4416258/
Abstract

BACKGROUND

The study aim was to determine if state and trait intra-individual measures of everyday affect predict cognitive functioning in healthy older community dwelling European adults (n = 387), aged 55-87 years.

METHODS

Participants were recruited from centres in France, Italy and Northern Ireland. Trait level and variability in positive and negative affect (PA and NA) were assessed using self-administered PANAS scales, four times a day for four days. State mood was assessed by one PANAS scale prior to assessment of recognition memory, spatial working memory, reaction time and sustained attention using the CANTAB computerized test battery.

RESULTS

A series of hierarchical regression analyses were carried out, one for each measure of cognitive function as the dependent variable, and socio-demographic variables (age, sex and social class), state and trait mood measures as the predictors. State PA and NA were both predictive of spatial working memory prior to looking at the contribution of trait mood. Trait PA and its variability were predictive of sustained attention. In the final step of the regression analyses, trait PA variability predicted greater sustained attention, whereas state NA predicted fewer spatial working memory errors, accounting for a very small percentage of the variance (1-2%) in the respective tests.

CONCLUSION

Moods, by and large, have a small transient effect on cognition in this older sample.

摘要

背景

本研究旨在确定个体日常情感的状态和特质内测量是否能预测健康的老年社区居住欧洲成年人(n=387,年龄 55-87 岁)的认知功能。

方法

参与者从法国、意大利和北爱尔兰的中心招募。使用自我管理的 PANAS 量表,每天四次,持续四天,评估正性和负性情感(PA 和 NA)的特质水平和变异性。在使用 CANTAB 计算机化测试电池评估识别记忆、空间工作记忆、反应时间和持续注意力之前,通过一个 PANAS 量表评估状态情绪。

结果

对认知功能的每一个测量结果(作为因变量)进行了一系列层次回归分析,并将社会人口统计学变量(年龄、性别和社会阶层)、状态和特质情绪测量结果作为预测因子。在考虑特质情绪贡献之前,状态 PA 和 NA 都可以预测空间工作记忆。在回归分析的最后一步,特质 PA 的变异性预测了更好的持续注意力,而状态 NA 则预测了较少的空间工作记忆错误,在各自的测试中仅占很小的比例(1-2%)。

结论

在这个老年样本中,情绪在很大程度上对认知有短暂的影响。