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Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk

BACKGROUND AND OBJECTIVES: It is widely recognized that survey satisficing, inattentive, or careless responding in questionnaires reduce the quality of self-report data. In this study, we propose that such low-quality responding (LQR) can carry substantive meaning at older ages. Completing questionn...

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Autores principales: Schneider, Stefan, Junghaenel, Doerte U, Meijer, Erik, Zelinski, Elizabeth M, Jin, Haomiao, Lee, Pey-Jiuan, Stone, Arthur A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155162/
https://www.ncbi.nlm.nih.gov/pubmed/35663275
http://dx.doi.org/10.1093/geroni/igac027
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author Schneider, Stefan
Junghaenel, Doerte U
Meijer, Erik
Zelinski, Elizabeth M
Jin, Haomiao
Lee, Pey-Jiuan
Stone, Arthur A
author_facet Schneider, Stefan
Junghaenel, Doerte U
Meijer, Erik
Zelinski, Elizabeth M
Jin, Haomiao
Lee, Pey-Jiuan
Stone, Arthur A
author_sort Schneider, Stefan
collection PubMed
description BACKGROUND AND OBJECTIVES: It is widely recognized that survey satisficing, inattentive, or careless responding in questionnaires reduce the quality of self-report data. In this study, we propose that such low-quality responding (LQR) can carry substantive meaning at older ages. Completing questionnaires is a cognitively demanding task and LQR among older adults may reflect early signals of cognitive deficits and pathological aging. We hypothesized that older people displaying greater LQR would show faster cognitive decline and greater mortality risk. RESEARCH DESIGN AND METHODS: We analyzed data from 9, 288 adults 65 years or older in the Health and Retirement Study. Indicators of LQR were derived from participants’ response patterns in 102 psychosocial questionnaire items administered in 2006–2008. Latent growth models examined whether LQR predicted initial status and change in cognitive functioning, assessed with the modified Telephone Interview for Cognitive Status, over the subsequent 10 years. Discrete-time survival models examined whether LQR was associated with mortality risk over the 10 years. We also examined evidence for indirect (mediated) effects in which LQR predicts mortality via cognitive trajectories. RESULTS: After adjusting for age, gender, race, marital status, education, health conditions, smoking status, physical activity, and depressive symptoms, greater LQR was cross-sectionally associated with poorer cognitive functioning, and prospectively associated with faster cognitive decline over the follow-up period. Furthermore, greater LQR was associated with increased mortality risk during follow-up, and this effect was partially accounted for by the associations between LQR and cognitive functioning. DISCUSSION AND IMPLICATIONS: Self-report questionnaires are not formally designed as cognitive tasks, but this study shows that LQR indicators derived from self-report measures provide objective, performance-based information about individuals’ cognitive functioning and survival. Self-report surveys are ubiquitous in social science, and indicators of LQR may be of broad relevance as predictors of cognitive and health trajectories in older people.
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spelling pubmed-91551622022-06-04 Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk Schneider, Stefan Junghaenel, Doerte U Meijer, Erik Zelinski, Elizabeth M Jin, Haomiao Lee, Pey-Jiuan Stone, Arthur A Innov Aging Original Research Article BACKGROUND AND OBJECTIVES: It is widely recognized that survey satisficing, inattentive, or careless responding in questionnaires reduce the quality of self-report data. In this study, we propose that such low-quality responding (LQR) can carry substantive meaning at older ages. Completing questionnaires is a cognitively demanding task and LQR among older adults may reflect early signals of cognitive deficits and pathological aging. We hypothesized that older people displaying greater LQR would show faster cognitive decline and greater mortality risk. RESEARCH DESIGN AND METHODS: We analyzed data from 9, 288 adults 65 years or older in the Health and Retirement Study. Indicators of LQR were derived from participants’ response patterns in 102 psychosocial questionnaire items administered in 2006–2008. Latent growth models examined whether LQR predicted initial status and change in cognitive functioning, assessed with the modified Telephone Interview for Cognitive Status, over the subsequent 10 years. Discrete-time survival models examined whether LQR was associated with mortality risk over the 10 years. We also examined evidence for indirect (mediated) effects in which LQR predicts mortality via cognitive trajectories. RESULTS: After adjusting for age, gender, race, marital status, education, health conditions, smoking status, physical activity, and depressive symptoms, greater LQR was cross-sectionally associated with poorer cognitive functioning, and prospectively associated with faster cognitive decline over the follow-up period. Furthermore, greater LQR was associated with increased mortality risk during follow-up, and this effect was partially accounted for by the associations between LQR and cognitive functioning. DISCUSSION AND IMPLICATIONS: Self-report questionnaires are not formally designed as cognitive tasks, but this study shows that LQR indicators derived from self-report measures provide objective, performance-based information about individuals’ cognitive functioning and survival. Self-report surveys are ubiquitous in social science, and indicators of LQR may be of broad relevance as predictors of cognitive and health trajectories in older people. Oxford University Press 2022-04-20 /pmc/articles/PMC9155162/ /pubmed/35663275 http://dx.doi.org/10.1093/geroni/igac027 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Article
Schneider, Stefan
Junghaenel, Doerte U
Meijer, Erik
Zelinski, Elizabeth M
Jin, Haomiao
Lee, Pey-Jiuan
Stone, Arthur A
Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk
title Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk
title_full Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk
title_fullStr Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk
title_full_unstemmed Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk
title_short Quality of Survey Responses at Older Ages Predicts Cognitive Decline and Mortality Risk
title_sort quality of survey responses at older ages predicts cognitive decline and mortality risk
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155162/
https://www.ncbi.nlm.nih.gov/pubmed/35663275
http://dx.doi.org/10.1093/geroni/igac027
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