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Facial Expressions Track Depressive Symptoms in Old Age.

Authors :
Kim H
Kwak S
Yoo SY
Lee EC
Park S
Ko H
Bae M
Seo M
Nam G
Lee JY
Source :
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Aug 10; Vol. 23 (16). Date of Electronic Publication: 2023 Aug 10.
Publication Year :
2023

Abstract

Facial expressions play a crucial role in the diagnosis of mental illnesses characterized by mood changes. The Facial Action Coding System (FACS) is a comprehensive framework that systematically categorizes and captures even subtle changes in facial appearance, enabling the examination of emotional expressions. In this study, we investigated the association between facial expressions and depressive symptoms in a sample of 59 older adults without cognitive impairment. Utilizing the FACS and the Korean version of the Beck Depression Inventory-II, we analyzed both "posed" and "spontaneous" facial expressions across six basic emotions: happiness, sadness, fear, anger, surprise, and disgust. Through principal component analysis, we summarized 17 action units across these emotion conditions. Subsequently, multiple regression analyses were performed to identify specific facial expression features that explain depressive symptoms. Our findings revealed several distinct features of posed and spontaneous facial expressions. Specifically, among older adults with higher depressive symptoms, a posed face exhibited a downward and inward pull at the corner of the mouth, indicative of sadness. In contrast, a spontaneous face displayed raised and narrowed inner brows, which was associated with more severe depressive symptoms in older adults. These findings suggest that facial expressions can provide valuable insights into assessing depressive symptoms in older adults.

Details

Language :
English
ISSN :
1424-8220
Volume :
23
Issue :
16
Database :
MEDLINE
Journal :
Sensors (Basel, Switzerland)
Publication Type :
Academic Journal
Accession number :
37631616
Full Text :
https://doi.org/10.3390/s23167080