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Facial Expressions Track Depressive Symptoms in Old Age

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...

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Autores principales: Kim, Hairin, Kwak, Seyul, Yoo, So Young, Lee, Eui Chul, Park, Soowon, Ko, Hyunwoong, Bae, Minju, Seo, Myogyeong, Nam, Gieun, Lee, Jun-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459725/
https://www.ncbi.nlm.nih.gov/pubmed/37631616
http://dx.doi.org/10.3390/s23167080
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author Kim, Hairin
Kwak, Seyul
Yoo, So Young
Lee, Eui Chul
Park, Soowon
Ko, Hyunwoong
Bae, Minju
Seo, Myogyeong
Nam, Gieun
Lee, Jun-Young
author_facet Kim, Hairin
Kwak, Seyul
Yoo, So Young
Lee, Eui Chul
Park, Soowon
Ko, Hyunwoong
Bae, Minju
Seo, Myogyeong
Nam, Gieun
Lee, Jun-Young
author_sort Kim, Hairin
collection PubMed
description 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.
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spelling pubmed-104597252023-08-27 Facial Expressions Track Depressive Symptoms in Old Age Kim, Hairin Kwak, Seyul Yoo, So Young Lee, Eui Chul Park, Soowon Ko, Hyunwoong Bae, Minju Seo, Myogyeong Nam, Gieun Lee, Jun-Young Sensors (Basel) Communication 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. MDPI 2023-08-10 /pmc/articles/PMC10459725/ /pubmed/37631616 http://dx.doi.org/10.3390/s23167080 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Kim, Hairin
Kwak, Seyul
Yoo, So Young
Lee, Eui Chul
Park, Soowon
Ko, Hyunwoong
Bae, Minju
Seo, Myogyeong
Nam, Gieun
Lee, Jun-Young
Facial Expressions Track Depressive Symptoms in Old Age
title Facial Expressions Track Depressive Symptoms in Old Age
title_full Facial Expressions Track Depressive Symptoms in Old Age
title_fullStr Facial Expressions Track Depressive Symptoms in Old Age
title_full_unstemmed Facial Expressions Track Depressive Symptoms in Old Age
title_short Facial Expressions Track Depressive Symptoms in Old Age
title_sort facial expressions track depressive symptoms in old age
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459725/
https://www.ncbi.nlm.nih.gov/pubmed/37631616
http://dx.doi.org/10.3390/s23167080
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