Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Impact of smart healthcare on the physical and mental health of older adults Chinese patients with chronic diseases under the background of “Internet Plus”

Analysis of data from the China family panel studies

Bibliographic Data

ID22074331
AuthorsFanbao Xie (0009-0002-0918-3395, Yancheng Teachers University), Xinyi Liang (0000-0002-4988-9897, Guangzhou University), Xin Guan (0000-0002-1088-2639, Anhui Xinhua University, corresponding author), Peng Ji (0000-0002-1150-2896), JI Peng (0000-0002-4677-092X, Yancheng Teachers University), Xiaojing Cao (Wuhan University), Jiarong Liao (Guangzhou University)
Year2025
Volume13
Pages1475456-1475456
Publication date2025-09-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1475456
PMID40988678
OpenAlexW4414073367
LanguageEN
References cited23

Objective This study was to investigate the impact of smart healthcare on the physical and mental health of older adults chronic disease patients in China. Methods Data from 6,092 chronic disease patients were collected from the 2022 China family panel studies (CFPS). Participants were rolled into two groups based on whether they utilized Internet Plus-based smart healthcare technology for chronic disease management: the usage group ( n = 2093) and the non-usage group ( n = 3,999). A comparison was conducted between the two groups in terms of activities of daily living (ADL) scores, self-rated health (SRH), and the center for epidemiologic studies depression scale (CES-D). Furthermore, a multivariate logistic regression analysis was employed to identify the risk factors influencing the physical and mental health of patients in the usage group. Results Post-intervention, the SRH and ADL scores of the usage group were greatly superior to those of the non-usage group, while the CES-D scores were greatly lower ( p < 0.05). Samples with chronic disease duration exceeding 10 years demonstrated the lowest SRH and ADL scores and the highest CES-D scores ( p < 0.05). Similarly, samples experiencing chronic pain exhibited the lowest SRH and ADL scores and the highest CES-D scores ( p < 0.05). Samples with an income level below 10,000 yuan per annum demonstrated the lowest SRH and ADL scores and the highest CES-D scores ( p < 0.05). Additionally, individuals with an educational attainment of primary school or below exhibited the lowest SRH and ADL scores and the highest CES-D scores ( p < 0.05). Chronic disease duration exceeding 10 years and chronic pain were identified as significant risk factors affecting ADL and CES-D scores. Chronic disease duration exceeding 10 years, chronic pain, an income level below 10,000 yuan per annum, and an educational attainment of primary school or below were identified as risk factors for SRH scores ( p < 0.05). Conclusion With the assistance of Internet Plus-based smart healthcare, the physical and mental health of older adults chronic disease patients in China can be effectively improved. However, the influence of longer chronic disease duration, chronic pain, low income, and low educational attainment on the effectiveness of smart healthcare assistance should be considered

China · Chronic disease · Disease · eHealth · Health care · Mental health · Physical health · The Internet · Advanced Technologies in Various Fields · Chronic Disease Management Strategies · Digital Mental Health Interventions

  • Geographical and practical challenges in the implementation of digital health passports for cross-border Covid-19 pandemic management

    Open Access•Gideon Towett, R Sterling Snead et al.•Globalization and Health•2023

  • Nutrition Supports Deconstructed and Disrupted

    Open Access•Rachael D Dombrowski, Bree Bode et al.•International Journal of…•2021

  • Spatial analysis of gender variation in the prevalence of hypertension among the middle-aged and elderly population in Zhejiang Province, China

    Open Access•Li Xu, Dejian Lai et al.•BMC Public Health•2016

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae