Rixiang Xu

Dr. Rixiang Xu

Anhui Medical University, Hefei, Anhui, China

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 December 2020 in Nursing Open
Verified
Journal Article
Open access
PDF file
TMTing‐Yu Mu
Ting‐Yu Mu
YLYu‐Hong Li
Yu‐Hong Li
Rixiang XuRixiang Xu
Rixiang Xu
JCJun Chen
Jun Chen
YWYa‐Ya Wang
Ya‐Ya Wang
CSCuizhen Shen
Cuizhen Shen
Aim: To determine the efficacy of Internet‐based interventions in decreasing the prevalence of postpartum depression in perinatal women.Design: This review was conducted according to the standards outlined in the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses statement.Methods: We performed a systematic meta‐analysis of randomized controlled trials on the efficacy of Internet‐based interventions for postpartum depression. Studies (2008–2018) were identified through a search conducted on PubMed, EMBASE and the Cochrane Library. Risk ratios or weighted mean differences with 95% confidence intervals were calculated using a fixed‐effects model or a random‐effects model. Stata software 11.0 was used to perform the meta‐analysis.Results: Most of the seven eligible studies were randomized controlled trials. The random‐effects model indicated that Internet‐based interventions significantly improved postpartum depression (d = 0.642, N = 7). Attrition rates ranged from 4.5%–86.9% and from 0%–87.1% for the intervention and control groups, respectively.

10 October 2022 in PLOS ONE
Verified
Journal Article
Open access
PDF file
Rixiang XuRixiang Xu
Rixiang Xu
TMTingyu Mu
Tingyu Mu
YLYulian Liu
Yulian Liu
YYYaping Ye
Yaping Ye
CXCaiming Xu
Caiming Xu
Background: At present, improving the accessibility to traditional Chinese medicine (TCM) health resources is an important component of China’s health policy. This study evaluated the trends in the disparities and equity of TCM health resource allocation from 2010 to 2020 to inform optimal future local health planning and policy. Method: The data for this study were extracted from the China Health Statistical Yearbook (2011–2021) and China Urban Statistical Yearbook (2020). The equity and rationality of the allocation of TCM health resources at the national and provincial levels were evaluated using the Gini coefficient and the health resource aggregation degree, respectively. Result: The number of TCM-related institutions, beds, health staff, outpatients and admissions increased by 1.97, 2.61, 2.35, 1.72 and 2.41 times, respectively, between 2010 and 2020. The population-based Gini coefficients for health staff, beds and institutions were 0.12, 0.23 and 0.13, respectively, indicating acceptable equity, while the geographical area-based Gini index for health staff, beds and institutions were 0.65, 0.62 and 0.62, respectively, indicating serious inequity. The agglomeration degree as a function of geographical area was as follows: eastern region > central region > western region. Moreover, the institutional and health staff gaps between the geographical areas increased from 2012 to 2020. In addition, there was a relatively balanced agglomeration degree based on the population in these three regions and an increasingly equitable allocation of institutions and health staff. Conclusion: In recent years, China’s TCM health resources and services have increased rapidly, but their proportions within the overall health system remain low. The equity and rationality of TCM health allocated by the population was better than that by the geographic area. Regional differences and inequalities, especially for institutions, still exist. A series of policies to promote the balanced development of TCM need to be implemented.

4 August 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
Rixiang XuRixiang Xu
Rixiang Xu
YLYulian Liu
Yulian Liu
TMTingyu Mu
Tingyu Mu
YYYaping Ye
Yaping Ye
CXCaiming Xu
Caiming Xu
Background: China is presently facing the challenge of meeting enormous health demands because of its rapidly aging society. Enrolling older persons in eldercare institutions is a helpful alternative for relieving family caregivers and promoting healthy aging. However, changes in the living environment may negatively affect the mental health of the elderly.Objective: To explore the association between different living arrangements and depressive symptoms among over-65-year-old people in China and the moderating role of outdoor activities.Method: The 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) used a mixed sampling method to collect the health and demographic information of 15,874 older adults over 65 years from 23 provinces in China. After considering this study's inclusion and exclusion criteria, the final sample comprised 12,200 participants. The participants' risk of depressive symptoms was assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). The potential association between the two elements was tested using a regression model.Result: This study's findings suggested a significant relationship between depressive symptoms and living arrangements (P < 0.001). Participants living alone and those living in eldercare institutions had 1.26-times (95%CI: 1.10–1.44) and 1.39-times (95%CI: 1.09–1.77) higher risks of depressive symptoms, respectively, than those living with household members. Outdoor activities play a moderating role between different living arrangements and depressive symptoms. Among participants who engaged in outdoor activities, no significant difference was observed in the risk of depressive symptoms between those living in eldercare institutions and those living with household members (adjusted odds ratio = 1.15, 95%CI = 0.81–1.64, P = 0.426).Conclusion: The high risk of depressive symptoms among older Chinese people living alone or in eldercare institutions requires considerable attention. The evidence from this study suggests that older people living alone and those living in eldercare institutions should regularly engage in appropriate outdoor activities.

31 August 2019 in The Journal of Infection in Developing Countries
Verified
Journal Article
Open access
PDF file
Rixiang XuRixiang Xu
Rixiang Xu
TMTingyu Mu
Tingyu Mu
GWGuan Wang
Guan Wang
JSJing Shi
Jing Shi
XWXin Wang
Xin Wang
XNXiaoli Ni
Xiaoli Ni
Introduction: Self-medication with antibiotics (SMA) is common among university students in low and middle-income countries (LMICs). However, there has been no meta-analysis and systematic review in the population. Methodology: A literature search was conducted using PubMed, Embase and Web of Science for the period from January 2000 to July 2018. Only observational studies that had SMA among university students from LMICs were included. A random-effects model was applied to calculate the pooled effect size with 95% confidence interval (CI) due to the expected heterogeneity (I2 over 50%). Results: The pooled prevalence of SMA of overall included studies was 46.0% (95% CI: 40.3% to 51.8%). Africa had the highest pooled prevalence of SMA among university students (55.30%), whereas South America had the lowest prevalence (38.3%). Among individual LMICs, the prevalence of SMA among university students varied from as low as 11.1% in Brazil to 90.7% in Congo. Conclusions: The practice of SMA is a widespread phenomenon among university students in LMICs and is frequently associated with inappropriate use. Effective interventions such as medication education and stricter governmental regulation concerning antibiotic use and sale are required to be established in order to deal with SMA properly.

11 April 2022 in PLOS ONE
Verified
Journal Article
Open access
PDF file
TMTing-Yu Mu
Ting-Yu Mu
Rixiang XuRixiang Xu
Rixiang Xu
JXJia-Yi Xu
Jia-Yi Xu
DDDie Dong
Die Dong
ZZZhi-Nan Zhou
Zhi-Nan Zhou
CSCuizhen Shen
Cuizhen Shen
Objective: In the context of an increased focus on geriatric depression in recent years, this study examined the associations between different types of self-care disability, the number of self-care disabilities, and depressive symptoms among middle-aged and elderly Chinese people. Method: The data for this study were extracted from the follow-up survey (conducted in 2018) of the China Health and Retirement Longitudinal Study (CHARLS). The sample comprised 10808 participants aged 45 years and older. The Activities of Daily Living (ADL) scale and the Center for Epidemiological Studies Depression (CESD-10) Scale were used to assess self-care disability and depressive symptoms, respectively. Result: The prevalence of depressive symptoms and self-care disability among the surveyed residents was 45.1% and 23.4%, respectively. Overall, there was a significant positive association between self-care disability and depressive symptoms. Participants who reported having a self-care disability in relation dressing, bathing, transferring in and out of bed, using the toilet, and controlling urination and defecation were found to have a significantly higher risk of depressive symptoms. In addition, participants with a greater cumulative quantity of self-care disabilities had a higher risk of depressive symptoms, and higher CESD-10 scores. Conclusion: Self-care disability is a risk factor for depressive symptoms among middle-aged and elderly Chinese people. A positive correlation between the number of self-care disabilities and the risk of depressive symptoms was found.

23 November 2024 in International Journal for Equity in Health
Verified
Journal Article
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Rixiang XuRixiang Xu
Rixiang Xu
CXCaiming Xu
Caiming Xu
LWLang Wu
Lang Wu
XXXuefeng Xie
Xuefeng Xie
TMTing-yu Mu
Ting-yu Mu
Enhancing the accessibility and equity of primary healthcare (PHC) is a crucial objective of China’s healthcare reform. However, spatial barriers remain a significant factor contributing to the inequitable access to PHC services among residents. This study aims to quantify the spatial accessibility (SA) and evaluate the equity of PHC resources in a pilot province for healthcare reform, and its municipalities, thereby providing insights that can be generalized to the broader context of China. The study used the navigation function provided by Gaode Map to estimate the time it takes for residents to visit PHC institutions. The two-step floating catchment area (2SFCA) method, weighted by a Gaussian function, was employed to measure the SA of PHC institutions, general practitioners (GPs), and beds across various residential areas. The Gini coefficient was utilized to assess disparities in SA among different regions. Additionally, Getis-Ord Gi* analysis was conducted to visualize these spatial disparities. The study analyzed 25,601 residential and 1,451 healthcare points in Zhejiang Province, revealing significant disparities in SA of PHC. Urban residents reached PHC institutions faster than rural ones (7.05 ± 4.7 min vs. 9.17 ± 7.78 min, P < 0.001). Within 30 min, 98.4% of residential points and 99.1% of the population accessed PHC institutions. Disparities in PHC resources were notable, with Lishui having the highest SA for institutions and GPs, and Shaoxing for beds. Equity assessment showed high inequity for institutions (Gini 0.553), moderate for beds (Gini 0.497), and reasonable for GPs (Gini 0.332)​. Getis-Ord Gi* analysis demonstrated that areas further from urban centers were more likely to exhibit clusters of hotspots or cold spots. The study highlights substantial disparities in SA of PHC and equity across Zhejiang, underscoring the need for strategic resource distribution. Future research should include diverse transportation modes and more precise demand point data to enhance understanding of accessibility dynamics.