Wanshui Yang

Prof. Dr. Wanshui Yang

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

View All Publications
1 August 2014 in International Journal of Cardiology
Verified
Journal Article
Closed access
WYWanshui Yang
Wanshui Yang
XWXin Wang
Xin Wang
QDQin Deng
Qin Deng
WFWen-Yan Fan
Wen-Yan Fan
WWWei-Ye Wang
Wei-Ye Wang

4 November 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
XLXing Liu
Xing Liu
WYWanshui Yang
Wanshui Yang
JPJessica L. Petrick
Jessica L. Petrick
LLLinda M. Liao
Linda M. Liao
WWWeibing Wang
Weibing Wang
XZXuehong Zhang
Xuehong Zhang
The relationship between dietary factors and liver disease remains poorly understood. This study evaluated the associations of whole grain and dietary fiber intake with liver cancer risk and chronic liver disease mortality. The National Institutes of Health–American Association of Retired Persons Diet and Health Study cohort recruited 485, 717 retired U.S. participants in 1995–1996. Follow-up through 2011 identified 940 incident liver cancer cases and 993 deaths from chronic liver disease. Compared with the lowest, the highest quintile of whole grain intake was associated with lower liver cancer risk (Hazard ratio [HR]Q5 vs. Q1 = 0.78, 95% confidence interval [CI]: 0.63–0.96) and chronic liver disease mortality (HRQ5 vs. Q1 = 0.44, 95% CI: 0.35–0.55) in multivariable Cox models. Dietary fiber was also associated with lower liver cancer risk (HRQ5 vs. Q1 = 0.69, 95% CI: 0.53–0.90) and chronic liver disease mortality (HRQ5 vs. Q1 = 0.37, 95% CI: 0.29–0.48). Fiber from vegetables, beans and grains showed potential protective effect. Here, we show that higher intake of whole grain and dietary fiber are associated with lower risk of liver cancer and liver disease mortality.

11 August 2021 in European Journal of Nutrition
Verified
Journal Article
Closed access
PDF file
HLHairong Li
Hairong Li
XZXufen Zeng
Xufen Zeng
YWYingying Wang
Yingying Wang
ZZZhuang Zhang
Zhuang Zhang
YZYu Zhu
Yu Zhu
WYWanshui Yang
Wanshui Yang

6 January 2023 in Frontiers in Public Health
Verified
Journal Article
Open access
YZYu Zhu
Yu Zhu
HYHu Yang
Hu Yang
YZYaozong Zhang
Yaozong Zhang
SRSongxian Rao
Songxian Rao
YMYufeng Mo
Yufeng Mo
WYWanshui Yang
Wanshui Yang
Background and aims: Dietary pattern rich in fiber is negatively associated with the risk of non-alcoholic fatty liver disease (NAFLD). Meanwhile, obesity is a known predisposing factor for NAFLD. Nutrient-focused research can enhance the mechanistic understanding of dietary effects. We thus hypothesized that higher dietary fiber intake was associated with lower risk of NAFLD through the mediating role of obesity.Methods: In this nationwide cross-sectional study, dietary fiber was surveyed using two 24-h recalls. NAFLD and clinically significant fibrosis (CSF) were determined by vibration-controlled transient elastography. Multivariable logistic and linear regression were applied to investigate the association of dietary fiber with NAFLD, CSF, and liver function parameters. We used counterfactual-based mediation analysis to estimate the direct and indirect effect of dietary fiber on NAFLD.Results: Of the 3,974 participants, ~36.86% and 7.78% of participants were diagnosed with NAFLD and CSF. Compared with participants among the lowest tertile, the highest tertile of dietary fiber consumption was associated with lower odds of NAFLD (OR = 0.81; 95% CI: 0.66–0.98; Poverall = 0.019). Dietary fiber intake appeared to be linked with lower odds of CSF (ORTertile3vs.Tertile1 = 0.81; 95% CI: 0.58–1.14; Poverall = 0.107). Mediation analysis showed that obesity fully mediated the association of dietary fiber with NAFLD. Dietary fiber was associated with improved hepatic parameters.Conclusions: The findings indicated that increasing dietary fiber intake could confer a greater benefit to protect against NAFLD. Translating these findings regarding dietary fiber into dietary advice might be an attractive strategy for NAFLD prevention.

1 July 2019 in European Journal Of Cancer Prevention
Verified
Journal Article
Closed access
WYWanshui Yang
Wanshui Yang
YSYingfang Shi
Yingfang Shi
XKXiumei Ke
Xiumei Ke
HSHaina Sun
Haina Sun
JGJianchao Guo
Jianchao Guo
XWXin Wang
Xin Wang
Previous observational studies have inconsistently suggested that poor sleep is a novel risk factor for breast cancer (BC). However, these studies mainly focused on sleep duration; other sleep domains were rarely reported. The aim of this study was to evaluate the association of a broad range of sleep domains with the risk of BC incidence. We used a community-based 1 : 1 individual matched case–control design that included 401 female patients with incident BC and 401 age-matched and area-matched female controls in Jiujiang, China. Long-term sleep habits were assessed comprehensively using a validated 17-item Sleep Factors Questionnaire. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression. Light exposure at night (highest vs. lowest level, aOR=1.19, 95% CI: 1.06–2.68), habitual timing of sleep (after 12 a.m. midnight vs. before 22 p.m., aOR=1.12, 95% CI: 1.03–2.62), night/shift work (yes vs. no, aOR=1.38, 95% CI: 1.04–2.71), and frequency of night-time wakings (>2 per night vs. never, aOR=1.21, 95% CI: 1.10–2.96) were associated with an increased risk of BC after mutually adjusting for other sleep parameters. These positive associations remained irrespective of menopausal status and tumor estrogen receptor status. There was no association between sleep duration, sleep quality, sleep medication use, insomnia frequency, daytime nap, and the risk of BC. Our results indicate that sleep problems including light exposure at night, night/shift work, late sleeping, and frequent night waking could increase the risk of BC development, independent of other sleep factors.

20 August 2019 in Journal of Human Hypertension
Verified
Journal Article
Closed access
PDF file
HZHao Zhao
Hao Zhao
WGWei Gui
Wei Gui
HHHongjuan Huang
Hongjuan Huang
YLYue Liu
Yue Liu
HDHui Ding
Hui Ding
GCGuangdi Chen
Guangdi Chen