Xiu-Quan Shi

Dr. Xiu-Quan Shi


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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13 January 2016 in Nutrients
Verified
Journal Article
Open access
PDF file
Xiao Li ShenXiao Li Shen
Xiao Li Shen
TZTao Zhao
Tao Zhao
YZYuanzhong Zhou
Yuanzhong Zhou
XSXiu-Quan Shi
Xiu-Quan Shi
YZYan Zou
Yan Zou
Guohua ZhaoGuohua Zhao
Guohua Zhao
Many individual studies on oat β-glucan (OBG) confirmed its functionality in improving type 2 diabetes mellitus (T2DM), but disagreements were identified among those results. To derive a pooled estimate of these results, relevant articles, published before 5 September 2015, were collected from four electronic databases (Pubmed, Cochrane Library, Scopus, and Web of Science) and subjected to meta-analysis in the present work. In total, four articles, dealing with 350 T2DM patients combined, met the inclusion criteria. Compared to control, T2DM patients administrated OBG from 2.5 to 3.5 g/day for 3 to 8 weeks presented significantly lowered concentrations in fasting plasma glucose (FPG) by −0.52 (95% CI: −0.94, −0.10) mmol/L (p = 0.01) and glycosylated hemoglobin (HbA1c) by −0.21% (95% CI: −0.40, −0.02) (p = 0.03). However, OBG intake did not significantly lower the fasting plasma insulin (FPI) concentration. In conclusion, mediate-term OBG intake (3–8 weeks) favored the glycaemic control of T2DM patients but did not improve their insulin sensitivity. Regrettably, data upon the effects of long-term OBG intake on glycaemic control and insulin sensitivity were scarce, which is of much importance and should be addressed in future research.

26 June 2022 in Safety and Health at Work
Verified
Journal Article
Open access
GQGuojia Qi
Guojia Qi
PYPing Yuan
Ping Yuan
MQMiao Qi
Miao Qi
XHXiuli Hu
Xiuli Hu
SSShangpeng Shi
Shangpeng Shi
XSXiu-Quan Shi
Xiu-Quan Shi
PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I2 statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%–40%) and 38% (95% CI: 30%–45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD.

6 August 2019 in PeerJ
Verified
Journal Article
Open access
XWXue Wang
Xue Wang
HYHuiting Yu
Huiting Yu
CNChan Nie
Chan Nie
YZYanna Zhou
Yanna Zhou
HWHaiyan Wang
Haiyan Wang
XSXiu-Quan Shi
Xiu-Quan Shi
Background: Road traffic accidents are one of the serious disasters that cause public injury, fatality and great economic loss. They are a growing public health problem around the world. Objectives: The aim of this study was to determine epidemiological characteristics, tendency and possible influencing factors of road traffic injuries (RTIs) in China, so as to give target suggestions on preventative measures. Methods: Road traffic accident data were obtained from National Bureau of Statistics of China and Ministry of Transport of the People’s Republic of China. Descriptive statistic such as RTIs frequency, trends of different accident types from 2007 to 2016; the RTIs difference between different regions and road surfaces were compared; and the possible influencing factors of RTIs were also explored. Results: Over the past decade, with the mileage of constructed highway increased, the frequency of road traffic accidents have declined substantially in China, and the death toll from road traffic accidents with motor vehicles has declined from 2007 to 2015, Conversely, the number of deaths from non-motor vehicle accidents has risen rapidly since 2012. Our study showed that the traffic accident related mortality in Guizhou province was different from the level of the whole nation, and the Eastern, Central and Western areas of China were all significantly different (P < 0.001). Linear regression suggested a significant affected of gross domestic product (GDP)-per-capita, education level, the number of health institutions, populations, and car ownership status on traffic accident death tolls (P < 0.001). Moreover, cement concrete pavement roads were associated with the highest occurrence rates of RTI, and RTIs was statistically significant (P < 0.001) on different road surfaces. Conclusion: Even though the frequency of road traffic accidents has declined, RTIs remain an urgent public health problem in China. Thus, the government should give some target preventative measures to reduce RTIs, aiming at different regions, the increasing trend of the death toll related to non-motor vehicles and the highest occurrence on cement concrete pavement roads.

24 August 2022 in PeerJ
Verified
Journal Article
Open access
PDF file
YZYanna Zhou
Yanna Zhou
SBShixing Bo
Shixing Bo
SRSujian Ruan
Sujian Ruan
QDQingxue Dai
Qingxue Dai
YTYingkuan Tian
Yingkuan Tian
XSXiu-Quan Shi
Xiu-Quan Shi
Background: The sleep quality of undergraduates is considerably worse than that in general population, a cross sectional study was conducted to evaluate sleep quality and identify related factors. Methods: All participants from the freshmen to senior were recruited by the stratified cluster sampling from December 1, 2018 to January 12, 2019. The questionnaire used in this research was primarily composed of three sections: demographic characteristics, Pittsburgh Sleep Quality Index (PSQI) questionnaire and influencing factors of sleep quality. The data were analyzed using SPSS 18.0. Results: A total of 1,063 valid questionnaires were collected. Among them, 53.7% subjects suffered poor sleep quality. PSQI general score was 5.94 ± 2.73. There were significantly differences in sleep quality in sex, majors and grades. The survey reported that women suffered worse sleep quality than that of men, and medical students suffered worse sleep quality than non-medical students. Meanwhile, it also found that freshmen had better sleep quality than that of sophomores and juniors, sophomores suffered worst sleep quality. The logistic regression analysis showed that bad physical condition (OR (Odds ratio): 2.971 (2.034∼4.339)) and smoking (OR: 1.754 (1.258∼2.446)) were associated with poor sleep quality in males. However, more factors associated with poor sleep quality among females were found, including noisy dormitory environment (OR: 2.025 (1.354-3.030)), skipping breakfast more times per week (OR: 1.332 (1.031∼1.721)), drinking coffee before sleep (OR: 2.111 (1.155∼3.861)), playing with mobile phones for more than 45 minutes before sleep (OR: 1.745 (1.210∼2.515)), more time spent playing games per day (OR: 1.347 (1.048∼1.730)), bad physical condition (OR: 2.507 (1.797-3.497)), and severe academic stress (OR: 1.561 (1.126-2.166)). Conclusion: About half of college students experienced poor sleep, and poor sleep quality was prevalent in women, medical students, and sophomores. Moreover, there were more risk factors associated with the poor sleep quality of women than with men. Health policymakers should fully consider these factors in improving the sleep quality of college students.

CBCao Boling
Cao Boling
XSXiu-Quan Shi
Xiu-Quan Shi
YQYong-Hong Qi
Yong-Hong Qi
YHYa Hui
Ya Hui
HYHua-Jun Yang
Hua-Jun Yang
YYYing-Ping Yang
Ying-Ping Yang
Objective: To explore the effect of a school-family-individual (SFI) multi-level education intervention model on knowledge and attitudes about accidental injuries among school-aged children to improve injury prevention strategies and reduce the incidence of pediatric injuries. Methods: The random sample of rural school-aged children were recruited by using a multistage, stratified, cluster sampling method in Zunyi, Southwest China from 2012 to 2014, and 2342 children were randomly divided into intervention and control groups. Then children answered a baseline survey to collect knowledge and attitude scores (KAS) of accidental injuries. In the intervention group, children, their parents/guardians and the school received a SFI multi-level education intervention, which included a children’s injury-prevention poster at schools, an open letter about security instruction for parents/guardians and multiple-media health education (Microsoft PowerPoint lectures, videos, handbooks, etc.) to children. Children in the control group were given only handbook education. After 16 months, children answered a follow-up survey to collect data on accidental injury types and accidental injury-related KAS for comparing the intervention and control groups and baseline and follow-up data. Results: The distribution of gender was not significantly different while age was different between the baseline and follow-up survey. At baseline, the mean KAS was lower for the intervention than control group (15.37 ± 3.40 and 18.35 ± 5.01; p < 0.001). At follow-up, the mean KAS was higher for the intervention than control group (21.16 ± 3.05 and 20.02 ± 3.40; p < 0.001). The increase in KAS in the intervention and control groups was significant (p < 0.001; KAS: 5.79 vs. 1.67) and suggested that children’s injury-related KAS improved in the intervention group. Moreover, the KAS between the groups differed for most subtypes of incidental injuries (based on International Classification of Diseases 10, ICD-10) (p < 0.05). Before intervention, 350 children had reported their accident injury episodes, while after intervention 237 children had reported their accidental injury episodes in the follow-up survey. Conclusions: SFI multi-level education intervention could significantly increase KAS for accidental injuries, which should improve children’s prevention-related knowledge and attitudes about such injuries. It should help children change their risk behaviors and reduce the incidence of accidental injuries. Our results highlight a new intervention model of injury prevention among school-aged children.

24 November 2023 in Trauma, Violence, & Abuse
Verified
Journal Article
Closed access
XDXiu Dai
Xiu Dai
XCXiangyuan Chu
Xiangyuan Chu
GQGuojia Qi
Guojia Qi
PYPing Yuan
Ping Yuan
YZYanna Zhou
Yanna Zhou
XSXiu-Quan Shi
Xiu-Quan Shi
Post-traumatic stress disorder (PTSD) in women who have experienced perinatal intimate partner violence (P-IPV) has gradually attracted the attention of psychologists, mental health, and health care professionals. However, a comprehensive understanding of its prevalence and associated risk factors is still lacking. The aim of this systematic review and meta-analysis was to determine the prevalence and explore influencing factors for PTSD in women who have suffered P-IPV. Our study inclusion criteria were: women who experienced IPV in the year before conception, throughout pregnancy, during delivery, and up to 1 year after giving birth for which a quantitative assessment of PTSD was done using validated diagnostic or screening tools. This study searched nine English databases and four Chinese databases. The final analysis included 16 studies, involving 9,098 female subjects. Meta-analysis was performed on the extracted data using the Stata 16.0 software (Stata Corp. LP, College Station, TX, USA). Fixed or random effect models were selected to pool odds ratio (OR) and 95% confidence interval (CI) of PTSD after heterogeneity test. Meta-analysis showed that the pooled prevalence of PTSD in women who suffered P-IPV was 30.0% (95% confidence interval [95% CI] = [22.0%, 37.0%]). Only nine studies described influencing factors for PTSD based on multivariate logistic regression analysis. The five identified influencing factors were: non-immigrants (OR = 2.56; 95% CI [1.29, 5.08]), non-cohabitation (OR = 2.45; [1.35, 4.42]), trauma history (OR = 1.80; [1.18, 2.76]), education below senior high school (OR = 1.32; [0.64, 2.75]), and age 18 to 29 years (OR = 1.06; [0.94, 1.19]). These findings provided a reference value of PTSD prevalence, risk factors, and potential association with P-IPV among women worldwide. However, the geographical coverage of the reviewed studies is limited and epidemiological investigations from more diverse areas are required in the future.