ArticleBMC health services research2022
Chinese adult segmentation according to health skills and analysis of their use for smart home: a cross-sectional national survey.
Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- How weak AI promotes exercise in China: evidence from CLDS2018.BMC public health · 2026Article
- Family health as a mediator between work-family conflict and depression in working parents: a cross-sectional study.Frontiers in psychology · 2026Article
- Balancing act: exploring the impact of work-family conflict on anxiety among working parents with family health as a mediator.Frontiers in psychology · 2025Article
- Association of smoking status and nicotine dependence with multi-morbidity in China: A nationally representative crosssectional study.Tobacco induced diseases · 2023Article
- Enhancing elderly care with smart homes: A comparative study of use and payment willingness.Digital healthArticle
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15 authors.
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Abstract
backgroundDigital health has become a heated topic today and smart homes have received much attention as an important area of digital health. Smart home is a device that enables automation and remote control in a home environment via the internet. However, most of the existing studies have focused on discussing the impact of smart home on people. Only few studies have focused on relationship between health skills and use of smart home.
aimsTo analyze the health skills of Chinese adults and segment them to compare and analyze the use of smart home for each group.
methodsWe used data from 11,031 participants aged 18 and above. The population was clustered based on five health skills factors: perceived social support, family health, health literacy, media use, and chronic diseases self-behavioral management. A total of 23 smart homes were categorized into three sub-categories based on their functions: entertainment smart home, functional smart home, and health smart home. We analyzed demographic characteristics and utilization rate of smart home across different cluster. Each groups' features and the differences in their needs for smart home functions were compared and analyzed.
resultsAs a result of the survey on health skills, three groups with different characteristics were clustered: good health skills, middle health skills, and poor health skills. The utilization rate of smart home was the highest was good health skills group (total smart home: 92.7%; entertainment smart home: 61.1%, functional smart home: 77.4%, and health smart home: 75.3%; P < 0.001). For entertainment smart home, smart TV had the highest utilization rate (good health skills: 45.7%; middle health skills: 43.5%, poor health skills: 33.4%, P < 0.001). For functional smart home, smart washing machine (good health skills: 37.7%, middle health skills: 35.11%, poor health skills: 26.5%; P < 0.001) and smart air conditioner (good health skills: 36.0%, middle health skills: 29.1%, poor health skills: 24.6%) were higher than other of this category. For health smart home, sports bracelet has the highest utilization rate (good health skills: 37.3%, middle health skills: 24.5%, poor health skills: 22.8%).
conclusionPeople can be divided into different categories based on health skill profiles, those with good health skills had a better utilization rate of smart home. The government and smart home companies need to focus on people with poor smart home use in various ways to promote their use of smart homes for personal health management.
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