Cargando…

Predicting frailty in older adults using vocal biomarkers: a cross-sectional study

BACKGROUND: Frailty is a common issue in the aging population. Given that frailty syndrome is little discussed in the literature on the aging voice, the current study aims to examine the relationship between frailty and vocal biomarkers in older people. METHODS: Participants aged ≥ 60 years visiting...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Yu-Chun, Yan, Huang-Ting, Lin, Chih-Hsueh, Chang, Hen-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248103/
https://www.ncbi.nlm.nih.gov/pubmed/35778699
http://dx.doi.org/10.1186/s12877-022-03237-7
_version_ 1784739302020743168
author Lin, Yu-Chun
Yan, Huang-Ting
Lin, Chih-Hsueh
Chang, Hen-Hong
author_facet Lin, Yu-Chun
Yan, Huang-Ting
Lin, Chih-Hsueh
Chang, Hen-Hong
author_sort Lin, Yu-Chun
collection PubMed
description BACKGROUND: Frailty is a common issue in the aging population. Given that frailty syndrome is little discussed in the literature on the aging voice, the current study aims to examine the relationship between frailty and vocal biomarkers in older people. METHODS: Participants aged ≥ 60 years visiting geriatric outpatient clinics were recruited. They underwent frailty assessment (Cardiovascular Health Study [CHS] index; Study of Osteoporotic Fractures [SOF] index; and Fatigue, Resistance, Ambulation, Illness, and Loss of weight [FRAIL] index) and were asked to pronounce a sustained vowel /a/ for approximately 1 s. Four voice parameters were assessed: average number of zero crossings (A1), variations in local peaks and valleys (A2), variations in first and second formant frequencies (A3), and spectral energy ratio (A4). RESULTS: Among 277 older adults, increased A1 was associated with a lower likelihood of frailty as defined by SOF (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.74–0.96). Participants with larger A2 values were more likely to be frail, as defined by FRAIL and CHS (FRAIL: OR 1.41, 95% CI 1.12–1.79; CHS: OR 1.38, 95% CI 1.10–1.75). Sex differences were observed across the three frailty indices. In male participants, an increase in A3 by 10 points increased the odds of frailty by almost 7% (SOF: OR 1.07, 95% CI 1.02–1.12), 6% (FRAIL: OR 1.06, 95% CI 1.02–1.11), or 6% (CHS: OR 1.06, 95% CI 1.01–1.11). In female participants, an increase in A4 by 0.1 conferred a significant 2.8-fold (SOF: OR 2.81, 95% CI 1.71–4.62), 2.3-fold (FRAIL: OR 2.31, 95% CI 1.45–3.68), or 2.8-fold (CHS: OR 2.82, 95% CI 1.76–4.51, CHS) increased odds of frailty. CONCLUSIONS: Vocal biomarkers, especially spectral-domain voice parameters, might have potential for estimating frailty, as a non-invasive, instantaneous, objective, and cost-effective estimation tool, and demonstrating sex differences for individualised treatment of frailty. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03237-7.
format Online
Article
Text
id pubmed-9248103
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-92481032022-07-02 Predicting frailty in older adults using vocal biomarkers: a cross-sectional study Lin, Yu-Chun Yan, Huang-Ting Lin, Chih-Hsueh Chang, Hen-Hong BMC Geriatr Research BACKGROUND: Frailty is a common issue in the aging population. Given that frailty syndrome is little discussed in the literature on the aging voice, the current study aims to examine the relationship between frailty and vocal biomarkers in older people. METHODS: Participants aged ≥ 60 years visiting geriatric outpatient clinics were recruited. They underwent frailty assessment (Cardiovascular Health Study [CHS] index; Study of Osteoporotic Fractures [SOF] index; and Fatigue, Resistance, Ambulation, Illness, and Loss of weight [FRAIL] index) and were asked to pronounce a sustained vowel /a/ for approximately 1 s. Four voice parameters were assessed: average number of zero crossings (A1), variations in local peaks and valleys (A2), variations in first and second formant frequencies (A3), and spectral energy ratio (A4). RESULTS: Among 277 older adults, increased A1 was associated with a lower likelihood of frailty as defined by SOF (odds ratio [OR] 0.84, 95% confidence interval [CI] 0.74–0.96). Participants with larger A2 values were more likely to be frail, as defined by FRAIL and CHS (FRAIL: OR 1.41, 95% CI 1.12–1.79; CHS: OR 1.38, 95% CI 1.10–1.75). Sex differences were observed across the three frailty indices. In male participants, an increase in A3 by 10 points increased the odds of frailty by almost 7% (SOF: OR 1.07, 95% CI 1.02–1.12), 6% (FRAIL: OR 1.06, 95% CI 1.02–1.11), or 6% (CHS: OR 1.06, 95% CI 1.01–1.11). In female participants, an increase in A4 by 0.1 conferred a significant 2.8-fold (SOF: OR 2.81, 95% CI 1.71–4.62), 2.3-fold (FRAIL: OR 2.31, 95% CI 1.45–3.68), or 2.8-fold (CHS: OR 2.82, 95% CI 1.76–4.51, CHS) increased odds of frailty. CONCLUSIONS: Vocal biomarkers, especially spectral-domain voice parameters, might have potential for estimating frailty, as a non-invasive, instantaneous, objective, and cost-effective estimation tool, and demonstrating sex differences for individualised treatment of frailty. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-022-03237-7. BioMed Central 2022-07-01 /pmc/articles/PMC9248103/ /pubmed/35778699 http://dx.doi.org/10.1186/s12877-022-03237-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lin, Yu-Chun
Yan, Huang-Ting
Lin, Chih-Hsueh
Chang, Hen-Hong
Predicting frailty in older adults using vocal biomarkers: a cross-sectional study
title Predicting frailty in older adults using vocal biomarkers: a cross-sectional study
title_full Predicting frailty in older adults using vocal biomarkers: a cross-sectional study
title_fullStr Predicting frailty in older adults using vocal biomarkers: a cross-sectional study
title_full_unstemmed Predicting frailty in older adults using vocal biomarkers: a cross-sectional study
title_short Predicting frailty in older adults using vocal biomarkers: a cross-sectional study
title_sort predicting frailty in older adults using vocal biomarkers: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248103/
https://www.ncbi.nlm.nih.gov/pubmed/35778699
http://dx.doi.org/10.1186/s12877-022-03237-7
work_keys_str_mv AT linyuchun predictingfrailtyinolderadultsusingvocalbiomarkersacrosssectionalstudy
AT yanhuangting predictingfrailtyinolderadultsusingvocalbiomarkersacrosssectionalstudy
AT linchihhsueh predictingfrailtyinolderadultsusingvocalbiomarkersacrosssectionalstudy
AT changhenhong predictingfrailtyinolderadultsusingvocalbiomarkersacrosssectionalstudy