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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8682148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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