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老年人语言与面部情绪表达识别的关系。

The association between language and recognition of facial emotional expressions in elderly individuals.

机构信息

Programa de Pós-graduação em Enfermagem, Universidade Federal de São Carlos - UFSCar - São Carlos (SP), Brasil.

School of Health Sciences, University of East Anglia - UEA - Norwich, Norfolk, United Kingdom.

出版信息

Codas. 2022 Jul 25;34(6):e20210052. doi: 10.1590/2317-1782/20212021052pt. eCollection 2022.

Abstract

PURPOSE

To check the association between a good performance of language and the recognition of facial emotional expressions in elderly individuals.

METHODS

Transversal study performed with 118 elderly individuals from the primary care services of health of a city in the state of São Paulo. Sociodemographic data were collected, regarding the performance of language through the domain of Addenbrooke Cognitive Examination - Revised and Recognition of Facial Emotional Expressions. The sample was divided in thirds according to the performance of language: T1 = the best, T2 = average, and T3 = the worst. The groups T1xT3 were compared regarding the performance of recognition of facial expressions of anger, disgust, fear, happiness, sadness, and surprise, and for the intensities of 40%, 60%, 80%, and 100%. The association of independent variables over the performance of language was analyzed through logistic regression. The multivariate model was built from the results of the univariate analyses and has included the continuous variables by emotion and by intensity. Age and schooling associated to the performance of language in the univariate model were included in the multivariate model in order to adjust association analyses.

RESULTS

The sample was mainly female (84.7%), with an average age of 70.5 years old, and 3.5 schooling years. The variables associated to the best performance of language in comparative analysis of T1 and T3 were: surprise (OR = 1.485, IC 95% 1.194 - 1.846), and disgust (OR = 1.143, IC 95% 1.005 - 1.300).

CONCLUSION

The recognition of facial emotional expressions of surprise and disgust were shown as important factors associated to the good performance of language.

摘要

目的

检查老年人语言表现良好与识别面部情绪表情之间的关联。

方法

这是一项在巴西圣保罗州一个城市的初级保健服务中进行的横断面研究,共纳入 118 名老年人。收集了社会人口统计学数据,通过 Addenbrooke 认知评估修订版(Addenbrooke Cognitive Examination - Revised)来评估语言表现,通过面部情绪表情识别来评估语言表现。根据语言表现将样本分为三组:T1=表现最好,T2=表现一般,T3=表现最差。将 T1xT3 组进行比较,比较愤怒、厌恶、恐惧、快乐、悲伤和惊讶这六种面部表情的识别表现,以及 40%、60%、80%和 100%的强度。通过逻辑回归分析独立变量与语言表现之间的关联。多变量模型是根据单变量分析的结果构建的,包括情绪和强度的连续变量。在单变量模型中与语言表现相关的年龄和受教育程度被纳入多变量模型,以调整关联分析。

结果

该样本主要为女性(84.7%),平均年龄为 70.5 岁,受教育程度为 3.5 年。在 T1 和 T3 的比较分析中,与语言表现最佳相关的变量有:惊讶(OR=1.485,95%CI 1.194-1.846)和厌恶(OR=1.143,95%CI 1.005-1.300)。

结论

对面部情绪表情的惊讶和厌恶的识别被证明是与语言表现良好相关的重要因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a8/9886300/cea7602422d7/codas-34-6-e20210052-g01-en.jpg

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