Publications by authors named "Zangyi Liao"

Article Synopsis
  • The study investigates how the amount of time people spend online affects their trust in doctors, finding a significant negative relationship between increased internet use and trust levels.
  • The research utilizes data from over 19,000 individuals in China to analyze different population groups and the mechanisms at play, including internet use as an information source and a communication platform.
  • Results suggest that while more internet use tends to lower trust in doctors, engaging in online social activities can counteract some of these negative effects, whereas social media generally worsens trust issues due to its mixed role.
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This empirical study examines the impact of internet usage on the life satisfaction of spousal caregivers responsible for elderly individuals with disabilities. Utilizing data from the China Health and Retirement Longitudinal Study (CHARLS), released in November 2023, we analyzed the health status and life satisfaction of these caregivers in the context of the recent rapid development of the internet. A stratified Proportionate to Size Sampling (PPS) approach was employed in this investigation.

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Background: Social transition is one of the multi-level mechanisms that influence health disparities. However, it has received less attention as one of the non-traditional social determinants of health. A few studies have examined China's social transition and its impact on health inequality in self-rated health (SRH).

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Background: With the rapid aging of the population, the health needs of the older adult have increased significantly, resulting in the frequent occurrence of the "social hospitalization" problem, which has led to a rapid increase in hospitalization costs. This study investigates whether the "social hospitalization problem" arising from the long-term care needs can be solved through the implementation of long-term care insurance, thereby improving the overall health of the older adults and controlling the unreasonable increase in hospitalization costs.

Methods: The entropy theory was used as a conceptual model, based on data from the China Health and Retirement Longitudinal Study (CHARLS) in 2015 and 2018.

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Introduction: The application of technology supported by cyber infrastructure has emerged as a critical factor influencing city management. This study aims to investigate whether the development of cyber infrastructure can enhance cities' confidence in responding to potential epidemic threats in the context of COVID-19.

Methods: China serves as a good example for both COVID-19 management and smart city construction.

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Background: Health inequality poses a challenge to improving the quality of life of older adults as well as the service system. The literature rarely explores the moderating role of medical services accessibility in the association between socioeconomic deprivation and health inequality.

Objective: This study examines the socioeconomic deprivation and medical services accessibility associated with health inequality among older Chinese adults, which will contribute to the medical policy reform.

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This study examines the influences of grandchild care and medical insurance on childhood obesity. Nationally representative longitudinal data-from the China Family Panel Studies 2010-2020-of 26,902 school-age children and adolescents aged 6-16 years and China's new reference standard ("WS/T586-2018") are used to identify a child's obesity status. Using binary mixed-effects logistic regression models and the Blinder-Oaxaca decomposition method, this study explores the roots of obesity inequalities and finds that at least 15% of Chinese children aged 6-16 were obese in the 2010s.

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With the expansion of the global novel coronavirus disease (COVID-19) pandemic, unprecedented interventions have been widely implemented in many countries, including China. In view of this scenario, this research aims to explore the effectiveness of population mobility restriction in alleviating epidemic transmission during different stages of the outbreak. Taking Shenzhen, a city with a large immigrant population in China, as a case study, the real-time reproduction number of COVID-19 is estimated by statistical methods to represent the dynamic spatiotemporal transmission pattern of COVID-19.

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The scarcity of medical resources is a fundamental problem worldwide; the development of information technology and the Internet has given birth to online health care, which has alleviated the above problem. The survival and sustainable development of the online health community requires users to continuously disclose their health and privacy. Therefore, it is a great practical significance to find out the factors and mechanisms that promote users' self-disclosure in the online health community.

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Objective: Analyze and evaluate the typical four medical alliance's governance modes in China, and construct a set of medical alliance's governance mode that adapt to the current status of medical resource allocation in China.

Theory And Methods: We used interview-based case studies to investigate the four most representative medical alliance modes in China, and conducted in-depth analysis and discussion of key incentives affecting medical alliances under the guidance of the Preker-Harding model framework.

Results: The results show that the essence of the relationship between the government as the owner and the medical alliance is the entrustment and adjustment of power and responsibility; the government as a regulator has a normative and universal regulation of the medical alliance; the reform of the medical alliance requires the government to clarify the functional positioning of the medical alliance and determine a reasonable compensation system.

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