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The effect of smartphones on the self-rated health levels of the elderly

BACKGROUND: Due to the penetration of Internet use and the popularity of “Internet + elderly care” among seniors in recent years, the elderly are gradually integrating into the information society. This study examined the impact of smartphones on the self-rated health levels of the elderly. METHODS:...

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Autores principales: Liang, Xian, Xiong, Feixue, Xie, Fangting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925210/
https://www.ncbi.nlm.nih.gov/pubmed/35292010
http://dx.doi.org/10.1186/s12889-022-12952-0
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author Liang, Xian
Xiong, Feixue
Xie, Fangting
author_facet Liang, Xian
Xiong, Feixue
Xie, Fangting
author_sort Liang, Xian
collection PubMed
description BACKGROUND: Due to the penetration of Internet use and the popularity of “Internet + elderly care” among seniors in recent years, the elderly are gradually integrating into the information society. This study examined the impact of smartphones on the self-rated health levels of the elderly. METHODS: We studied 3042 elderly people over 55 years of age in Jiangxi, China in 2018. The effect of smartphones was measured from three aspects: smartphone usage, smartphone usage ability, and smartphone usage purpose, and the multivariate ordered logistic model was applied. Furthermore, considering the potential endogeneity of the smartphone usage of elderly people, the propensity score matching (PSM) method was used to analyze the net effect of smartphones on the health levels of the elderly. RESULTS: (1) The use of smartphones had a significant positive impact on the self-rated health levels of the elderly, with its significance being at the level of 1%. Smartphone usage ability, and using smartphone to learn or search for health information, had significant positive impacts (at the level of 5%) on the self-rated health levels of the elderly. (2) The k-nearest neighbor matching, kernel matching and radius matching methods were used to calculate the net effect of smartphone usage on the self-rated health levels of the elderly. The results were 13.26, 15.33 and 14.80%, respectively. (3) The age of the participants significantly (at the level of 1%) negatively affected their self-rated health levels. Other characteristics of the elderly, including income, education level, living with children or spouse and children’s living conditions, significantly (all at the level of 1%) positively affected their self-rated health levels. CONCLUSIONS: Smartphone usage, smartphone usage ability, and smartphone usage purposes all improved the self-rated health of the elderly. The Internet factor should be focused on in the process of active aging. We should improve the Internet use ability of the elderly through voluntary training or public lectures.
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spelling pubmed-89252102022-03-23 The effect of smartphones on the self-rated health levels of the elderly Liang, Xian Xiong, Feixue Xie, Fangting BMC Public Health Research BACKGROUND: Due to the penetration of Internet use and the popularity of “Internet + elderly care” among seniors in recent years, the elderly are gradually integrating into the information society. This study examined the impact of smartphones on the self-rated health levels of the elderly. METHODS: We studied 3042 elderly people over 55 years of age in Jiangxi, China in 2018. The effect of smartphones was measured from three aspects: smartphone usage, smartphone usage ability, and smartphone usage purpose, and the multivariate ordered logistic model was applied. Furthermore, considering the potential endogeneity of the smartphone usage of elderly people, the propensity score matching (PSM) method was used to analyze the net effect of smartphones on the health levels of the elderly. RESULTS: (1) The use of smartphones had a significant positive impact on the self-rated health levels of the elderly, with its significance being at the level of 1%. Smartphone usage ability, and using smartphone to learn or search for health information, had significant positive impacts (at the level of 5%) on the self-rated health levels of the elderly. (2) The k-nearest neighbor matching, kernel matching and radius matching methods were used to calculate the net effect of smartphone usage on the self-rated health levels of the elderly. The results were 13.26, 15.33 and 14.80%, respectively. (3) The age of the participants significantly (at the level of 1%) negatively affected their self-rated health levels. Other characteristics of the elderly, including income, education level, living with children or spouse and children’s living conditions, significantly (all at the level of 1%) positively affected their self-rated health levels. CONCLUSIONS: Smartphone usage, smartphone usage ability, and smartphone usage purposes all improved the self-rated health of the elderly. The Internet factor should be focused on in the process of active aging. We should improve the Internet use ability of the elderly through voluntary training or public lectures. BioMed Central 2022-03-15 /pmc/articles/PMC8925210/ /pubmed/35292010 http://dx.doi.org/10.1186/s12889-022-12952-0 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
Liang, Xian
Xiong, Feixue
Xie, Fangting
The effect of smartphones on the self-rated health levels of the elderly
title The effect of smartphones on the self-rated health levels of the elderly
title_full The effect of smartphones on the self-rated health levels of the elderly
title_fullStr The effect of smartphones on the self-rated health levels of the elderly
title_full_unstemmed The effect of smartphones on the self-rated health levels of the elderly
title_short The effect of smartphones on the self-rated health levels of the elderly
title_sort effect of smartphones on the self-rated health levels of the elderly
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925210/
https://www.ncbi.nlm.nih.gov/pubmed/35292010
http://dx.doi.org/10.1186/s12889-022-12952-0
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