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Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis

Older adults are at increased risk for loneliness/isolation, particularly with new COVID-19 recommendations; however, communication may help mitigate these negative perceptions. Reductions in loneliness/isolation may also significantly improve quality of life and well-being for vulnerable population...

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Autores principales: Odd, Kaleena, Hubner, Sarah, Kim,, Hyeon Jung, Boron, Julie Blaskewicz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682148/
http://dx.doi.org/10.1093/geroni/igab046.3344
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author Odd, Kaleena
Hubner, Sarah
Kim,, Hyeon Jung
Boron, Julie Blaskewicz
author_facet Odd, Kaleena
Hubner, Sarah
Kim,, Hyeon Jung
Boron, Julie Blaskewicz
author_sort Odd, Kaleena
collection PubMed
description Older adults are at increased risk for loneliness/isolation, particularly with new COVID-19 recommendations; however, communication may help mitigate these negative perceptions. Reductions in loneliness/isolation may also significantly improve quality of life and well-being for vulnerable populations. Thus, the purpose of this study was to investigate the relationships between communication, individual characteristics, and time, to provide a clearer understanding of communication patterns in a longitudinal cohort. Participants (N=2351) with no missing data on any variables of interest (across time-points) were pulled from the Health and Retirement Study’s Consumption and Activity’s Mail Survey (waves collected: 2013, 2015, 2017). When last reported (2016/17), respondents were an average age of 70.14(SD=9.9), were generally female (63.0%) and white (75.7%). Analyses included longitudinal investigation, normality tests, and regression. Assumptions were violated in ANOVA; results of a Kruskal-Wallis test revealed that there were no significant changes in the distribution of in-person or distanced communication across the three waves. Individual responses were then averaged and standardized across waves (per participant for each outcome variable). In-person communication regression results reveal that being female positively predicted in-person conversation volume (B=0.23,p<.001) as did increasing number of years in school (B=0.03,p<.001), while being non-white negatively predicted in-person conversation (B=-0.301,p<.001). Distanced communication regression results reveal being female positively predicted volume of distanced communication (B=0.381,p<.001); however, being non-white and younger positively predicted increased volume of distanced communication (B=0.241,p<.001; B=0.005,p<.001, respectively). Given the varied communication patterns, future research should consider explanatory mechanisms in addition to investigating changes as a result of the ongoing pandemic.
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spelling pubmed-86821482021-12-20 Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis Odd, Kaleena Hubner, Sarah Kim,, Hyeon Jung Boron, Julie Blaskewicz Innov Aging Abstracts Older adults are at increased risk for loneliness/isolation, particularly with new COVID-19 recommendations; however, communication may help mitigate these negative perceptions. Reductions in loneliness/isolation may also significantly improve quality of life and well-being for vulnerable populations. Thus, the purpose of this study was to investigate the relationships between communication, individual characteristics, and time, to provide a clearer understanding of communication patterns in a longitudinal cohort. Participants (N=2351) with no missing data on any variables of interest (across time-points) were pulled from the Health and Retirement Study’s Consumption and Activity’s Mail Survey (waves collected: 2013, 2015, 2017). When last reported (2016/17), respondents were an average age of 70.14(SD=9.9), were generally female (63.0%) and white (75.7%). Analyses included longitudinal investigation, normality tests, and regression. Assumptions were violated in ANOVA; results of a Kruskal-Wallis test revealed that there were no significant changes in the distribution of in-person or distanced communication across the three waves. Individual responses were then averaged and standardized across waves (per participant for each outcome variable). In-person communication regression results reveal that being female positively predicted in-person conversation volume (B=0.23,p<.001) as did increasing number of years in school (B=0.03,p<.001), while being non-white negatively predicted in-person conversation (B=-0.301,p<.001). Distanced communication regression results reveal being female positively predicted volume of distanced communication (B=0.381,p<.001); however, being non-white and younger positively predicted increased volume of distanced communication (B=0.241,p<.001; B=0.005,p<.001, respectively). Given the varied communication patterns, future research should consider explanatory mechanisms in addition to investigating changes as a result of the ongoing pandemic. Oxford University Press 2021-12-17 /pmc/articles/PMC8682148/ http://dx.doi.org/10.1093/geroni/igab046.3344 Text en © The Author(s) 2021. 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 (http://creativecommons.org/licenses/by/4.0/ (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 Abstracts
Odd, Kaleena
Hubner, Sarah
Kim,, Hyeon Jung
Boron, Julie Blaskewicz
Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis
title Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis
title_full Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis
title_fullStr Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis
title_full_unstemmed Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis
title_short Investigation of Communication Type and Individual Characteristics : A Longitudinal HRS Analysis
title_sort investigation of communication type and individual characteristics : a longitudinal hrs analysis
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682148/
http://dx.doi.org/10.1093/geroni/igab046.3344
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