Dataset Information

Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.

ABSTRACT:

Background

Researchers are increasingly interested in better methods for assessing the pace of aging in older adults, including vocal analysis. The present study sought to determine whether paralinguistic vocal attributes improve estimates of the age and risk of mortality in older adults.

Methods

To measure vocal age, we curated interviews provided by male U.S. World War II Veterans in the Library of Congress collection. We used diarization to identify speakers and measure vocal features and matched recording data to mortality information. Veterans (N = 2 447) were randomly split into testing (n = 1 467) and validation (n = 980) subsets to generate estimations of vocal age and years of life remaining. Results were replicated to examine out-of-sample utility using Korean War Veterans (N = 352).

Results

World War II Veterans' average age was 86.08 at the time of recording and 91.28 at the time of death. Overall, 7.4% were prisoners of war, 43.3% were Army Veterans, and 29.3% were drafted. Vocal age estimates (mean absolute error = 3.255) were within 5 years of chronological age, 78.5% of the time. With chronological age held constant, older vocal age estimation was correlated with shorter life expectancy (aHR = 1.10; 95% confidence interval: 1.06-1.15; p < .001), even when adjusting for age at vocal assessment.

Conclusions

Computational analyses reduced estimation error by 71.94% (approximately 8 years) and produced vocal age estimates that were correlated with both age and predicted time until death when age was held constant. Paralinguistic analyses augment other assessments for individuals when oral patient histories are recorded.

SUBMITTER: Yin Y

PROVIDER: S-EPMC10733188 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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Publications

Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.

Yin Yunting Y Hanes Douglas William DW Skiena Steven S Clouston Sean A P SAP

The journals of gerontology. Series A, Biological sciences and medical sciences 20240101 1

<h4>Background</h4>Researchers are increasingly interested in better methods for assessing the pace of aging in older adults, including vocal analysis. The present study sought to determine whether paralinguistic vocal attributes improve estimates of the age and risk of mortality in older adults.<h4>Methods</h4>To measure vocal age, we curated interviews provided by male U.S. World War II Veterans in the Library of Congress collection. We used diarization to identify speakers and measure vocal f ...[more]

PMID: 37366320

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Project description:IntroductionMaintaining older adults' health and well-being can be achieved through the optimization of physical and mental health, while preserving independence, social participation, and quality of life. Cognitive change has been described as a normal process of aging and it involves domains such as processing speed, attention, memory, language, visuospatial abilities, and executive functioning, among others.ObjectiveTo describe cognitive changes in older adults with healthy aging.MethodsThis is a study that involved data from 14,893 and 14,154 individuals aged >60 years or older from the 2012 and 2015 waves, respectively, who participated in the Mexican Health and Aging Study (MHAS). Participants with healthy aging were identified and described in the MHAS-2012 wave and followed to 2015. Eight cognitive domains evaluated in the Cross-Cultural Cognitive Evaluation (CCCE,) as well as sociodemographic and health characteristics, were described. Criteria for healthy aging involved the following: CCCE ≥ -1.5 standard deviations above the mean on reference norms, independence on basic and instrumental activities of daily living, self-reported "life close to ideal," and preserved functional and social performance.ResultsFrom a total of n = 9,160 older adults from the MHAS-2012 wave, n = 1,080 (11.8%) had healthy aging. In the healthy aging group, the median age was 67 years (IQR: 63-73), 58.1% were female and the median for education was 6 (IQR: 3-8) years. The mean CCCE score was 57 (SD: 16.9) points. In the MHAS-2012 cross-sectional analysis, except for orientation, visuospatial abilities, and verbal fluency, all cognitive domain scores were lower with passing age. When comparing cognitive domain scores in the 225 older adults identified with healthy aging between the 2012 and 2015 MHAS waves, there were almost no observable differences.ConclusionIn the cross-sectional analysis, Mexican adults with healthy aging had lower scores in the verbal learning memory, visual scanning, numeracy, visual memory, and verbal recall domains', as well as lower global cognitive scores in the higher age groups. There were no cognitive changes in the 3 year follow-up, except for a lower gradient of scores in the verbal recall memory domain. Longer prospective studies are needed to characterize greater cognitive changes.

Project description:BackgroundFrailty is a growing concern among the aging population. Due to their vulnerability and reduced physiological reserves, frail older adults face an increased risk of functional decline and loss of independence. In frail older adults, the concept of healthy aging emphasizes maintaining independence, functionality, and a high quality of life despite frailty and other age-related challenges.ObjectiveGrounded in the multidimensional model of healthy aging and aging-related resilience theory, we aimed to propose and test a hypothesized model. The model included exogenous variables (cognitive and physical function, perceived health) and mediators (resilience, social support, and daily activity) as influencing factors of healthy aging among frail older adults.MethodsThe cross-sectional study was conducted in South Korea using a national survey of 505 frail older adults living in the community. The sample was representative across age groups, sex, and regional distributions. A structural equation modeling was employed to test a hypothesized model, examining both direct and indirect effects of influencing factors on healthy aging. Data were collected between October and December 2023 and analyzed using IBM SPSS 26.0 and AMOS 26.0.ResultsA total of 505 frail older adults with an average age of 74 participated in the study. The hypothesized model demonstrated a good fit with the data. The exogenous variables and mediators accounted for 43 % of the variance in healthy aging. Resilience, cognitive function, and perceived health had significant direct and indirect effects on healthy aging. Daily activity also had a significant direct effect on healthy aging. Social support, while not directly affecting healthy aging, exerted a significant indirect effect through daily activity. Similarly, physical function influenced healthy aging indirectly via daily activity. The model was tested after controlling for age, sex (ref=male), economic status, and years of education. Among these confounding variables, economic status was a significant influencing factor in healthy aging (β = 0.14, p = 0.016).ConclusionCognitive and physical function, alongside resilience and social support as mediators, significantly associated with healthy aging in frail older adults through daily activity. Health promotion strategies could focus on resilience and social support to empower individuals and strengthen social connectedness, thereby supporting independence in daily life and healthy aging. Further, we need to explore diverse social and cultural activities associated with healthy aging in this population to expand the definition of active aging.

Dataset Information

Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.

Background

Methods

Results

Conclusions

Publications

Quantifying Healthy Aging in Older Veterans Using Computational Audio Analysis.

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