Publications by authors named "Qiuyan Fan"

Background: The effects of childhood adversity on health may persist into the middle and old-aged. The assessment of the long-term effect of adverse childhood experiences (ACE) on adult health depreciation promotes a paradigm shift from current factors in health to early causation shaping health life course trajectories.

Objective: Determine whether the direct and significant dose-response effect between childhood adversity and health depreciation holds true, and to examine whether socioeconomic status (SES) in adulthood can diminish the negative effects of ACE.

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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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Background: Total healthcare expenditures are concentrated among a small number of patients. To date, studies on the concentration of health care expenditures in developing countries are limited, mainly focusing on concentration measures and the demographic, clinical and socioeconomic characteristics of high-cost users (HCU). The drivers of the skewed overall distribution of health care expenditures are opaque.

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Utilizing data from the nationally representative China Health and Retirement Longitudinal Study, this study analyzed the effect of intensity and duration of adverse childhood experiences on depression in middle aged and older aged adults in China. The mediating effect of cumulative health risk and personal factors were validated through the Karlson-Holm-Breen method. The results showed a significant dose-response relationship between adverse childhood experiences and adult depression.

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Background: In the prevention and control of infectious diseases, previous research on the application of big data technology has mainly focused on the early warning and early monitoring of infectious diseases. Although the application of big data technology for COVID-19 warning and monitoring remain important tasks, prevention of the disease's rapid spread and reduction of its impact on society are currently the most pressing challenges for the application of big data technology during the COVID-19 pandemic. After the outbreak of COVID-19 in Wuhan, the Chinese government and nongovernmental organizations actively used big data technology to prevent, contain, and control the spread of COVID-19.

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Based on data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), this paper calculates the health distribution of the elderly using the Quality of Well-Being Scale (QWB) score, and then estimates health inequality among the elderly in rural China using the Wagstaff index (WI) and Erreygers index (EI). Following this, it compares health inequalities among the elderly in different age groups, and finally, uses the Shapley and recentered influence function-index-ordinary least squares (RIF-I-OLS) model to decompose the effect of four factors on health inequality among the elderly in rural China. The QWB score distribution shows that the health of the elderly in rural China improved with social economic development and medical reform from 2002 to 2014.

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