Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults

Abstract Background Prior studies on health disparity have shown that socioeconomic status is critical to inequality of health outcomes such as depression. However, two questions await further investigation: whether disparity in depression correlated with socioeconomic status will become larger when...

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Main Authors: Aruhan Mu, Zhaohua Deng, Xiang Wu, Liqin Zhou
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Geriatrics
Subjects:
Online Access:https://doi.org/10.1186/s12877-021-02175-0
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spelling doaj-473118155a3b44e5a0c79820a23938262021-04-25T11:11:14ZengBMCBMC Geriatrics1471-23182021-04-0121111110.1186/s12877-021-02175-0Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adultsAruhan Mu0Zhaohua Deng1Xiang Wu2Liqin Zhou3School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and TechnologySchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and TechnologySchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and TechnologySchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and TechnologyAbstract Background Prior studies on health disparity have shown that socioeconomic status is critical to inequality of health outcomes such as depression. However, two questions await further investigation: whether disparity in depression correlated with socioeconomic status will become larger when depression becomes severer, and whether digital technology will reduce the disparity in depression correlated with socioeconomic status. Our study aims to answer the above two questions. Methods By using the dataset from China Health and Retirement Longitudinal Study 2015, we use quantile regression models to examine the association between socioeconomic status and depression across different quantiles, and test the moderating effect of digital technology. Results Our study obtains four key findings. First, the negative effects of socioeconomic status on depression present an increasing trend at high quantiles. Second, Internet usage exacerbates the disparity in depression associated with education level on average, but reduces this disparity associated with education level at high quantiles. Third, Internet usage reduces the disparity in depression associated with income on average and at high quantiles. Fourth, mobile phone ownership has almost no moderating effect on the relationship between socioeconomic status and depression. Conclusions Our findings suggest the potential use of digital technology in reducing disparity in depression correlated with socioeconomic status among middle-aged and aged individuals in developing countries.https://doi.org/10.1186/s12877-021-02175-0Diversity in agingMental healthDigital technology
collection DOAJ
language English
format Article
sources DOAJ
author Aruhan Mu
Zhaohua Deng
Xiang Wu
Liqin Zhou
spellingShingle Aruhan Mu
Zhaohua Deng
Xiang Wu
Liqin Zhou
Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults
BMC Geriatrics
Diversity in aging
Mental health
Digital technology
author_facet Aruhan Mu
Zhaohua Deng
Xiang Wu
Liqin Zhou
author_sort Aruhan Mu
title Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults
title_short Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults
title_full Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults
title_fullStr Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults
title_full_unstemmed Does digital technology reduce health disparity? Investigating difference of depression stemming from socioeconomic status among Chinese older adults
title_sort does digital technology reduce health disparity? investigating difference of depression stemming from socioeconomic status among chinese older adults
publisher BMC
series BMC Geriatrics
issn 1471-2318
publishDate 2021-04-01
description Abstract Background Prior studies on health disparity have shown that socioeconomic status is critical to inequality of health outcomes such as depression. However, two questions await further investigation: whether disparity in depression correlated with socioeconomic status will become larger when depression becomes severer, and whether digital technology will reduce the disparity in depression correlated with socioeconomic status. Our study aims to answer the above two questions. Methods By using the dataset from China Health and Retirement Longitudinal Study 2015, we use quantile regression models to examine the association between socioeconomic status and depression across different quantiles, and test the moderating effect of digital technology. Results Our study obtains four key findings. First, the negative effects of socioeconomic status on depression present an increasing trend at high quantiles. Second, Internet usage exacerbates the disparity in depression associated with education level on average, but reduces this disparity associated with education level at high quantiles. Third, Internet usage reduces the disparity in depression associated with income on average and at high quantiles. Fourth, mobile phone ownership has almost no moderating effect on the relationship between socioeconomic status and depression. Conclusions Our findings suggest the potential use of digital technology in reducing disparity in depression correlated with socioeconomic status among middle-aged and aged individuals in developing countries.
topic Diversity in aging
Mental health
Digital technology
url https://doi.org/10.1186/s12877-021-02175-0
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