Ruiping Wang

Dr. Ruiping Wang

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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27 October 2023 in International Immunopharmacology
Verified
Journal Article
Closed access
MWMingxia Wang
Mingxia Wang
XMXiaoxuan Ma
Xiaoxuan Ma
CGChunjie Gao
Chunjie Gao
YLYue Luo
Yue Luo
XFXiaoya Fei
Xiaoya Fei
JSJiankun Song
Jiankun Song

13 June 2019 in BMC Public Health
Verified
Journal Article
Open access
RWRuiping Wang
Ruiping Wang
YJYonggen Jiang
Yonggen Jiang
CYChunxia Yao
Chunxia Yao
MZMeiying Zhu
Meiying Zhu
QZQi Zhao
Qi Zhao
GZGenming Zhao
Genming Zhao
Tobacco smoking is a recognized risk factor for many chronic diseases and previous study evidences have indicated that smokers receive smoking cessation service after the diagnosis of chronic diseases increases successful rate in quitting. But the prevalence of tobacco related chronic diseases (TCD) among smokers, as well as the role of TCD diagnosis in smoking cessation is still unclear in China. From June 2016 to December 2017, we sampled 36, 698 residents aged over 18 years by a three stage sampling in Songjiang district, Shanghai. We conducted a cross-sectional study to understand the prevalence of TCD among smokers, and the role of TCD diagnosis in smoking cessation among ex-smokers as well as the smoking cessation attempt among current smokers. Over all, the prevalence of current smoking is 19.78% (48.36% for male and 0.22% for female). 15.93% of smokers have stopped smoking successfully (1, 376/8, 636). The prevalence of ten selected TCDs among smokers range from 0.63% (Chronic Obstructive Pulmonary Disease, COPD) to 36.31% (hypertension). All of 1, 376 ex-smokers had at least one kind of TCD, and 52.33% of them stop smoking after the diagnosis of TCD, the time interval between TCD diagnosis and smoking cessation ranges from 0 to 65 years, with a median of 9 years. Smokers with TCD had higher prevalence of quit smoking, and current smokers with TCD had higher smoking cessation attempt proportion. The prevalence of current smoking is still very high among male residents in rural area of Shanghai, and the occurrence of TCD even non-lethal one could provide an opportunity for doctors to assist the smoking cessation among smokers.

26 August 2021 in Frontiers in Neurology
Verified
Journal Article
Open access
YYYing-Ye Yao
Ying-Ye Yao
ZWZi-Jun Wei
Zi-Jun Wei
YZYue-Chan Zhang
Yue-Chan Zhang
XLXiang Li
Xiang Li
LGLiu Gong
Liu Gong
RWRuiping Wang
Ruiping Wang
Objective: This study aimed to understand the demographics, functional disabilities, cognitive impairment, and depressive mood among stroke patients and to explore the correlation between functional disability and the other health conditions so as to provide some data for community rehabilitation among stroke patients.Methods: A cross-sectional study was conducted to investigate the functional status of ischemic stroke patients with stroke history between 1 month and 2 years by applying the modified Rankin Scale (mRS). Data were collected during October 2016 and January 2017 from 11 communities in two districts of Shanghai, China. We used face-to-face questionnaire interviews to collect information on sociodemographics, vascular risks associated with stroke, cognitive function [Mini-Mental State Examination (MMSE)], and depression [Patient Health Questionnaire-9 (PHQ-9)]; and we applied SPSS 24.0 for data analysis.Results: In this study, 305 patients with ischemic stroke were finally recruited, including 189 (61.97%) men, with an average age of 67 years. According to the mRS score, ischemic stroke patients were divided into patients without symptoms (controls, mRS = 0), patients without obvious disability (mRS = 1), and patients with mild to severe disability (mRS = 2–5). Ischemic stroke patients with different mRS levels demonstrated significant differences in age, tobacco smoke exposure, previous stroke history, cognitive function, and depression status. Compared with patients without symptoms (mRS = 0), patients with mRS = 1 had a lower MMSE score [odds ratio (OR): 0.48, 95% confidence interval (CI): 0.26–0.90]; and patients with mRS = 2–5 had a lower MMSE score [OR = 0.16, 95% CI: 0.08–0.33], had a higher PHQ-9 score [OR = 5.36, 95% CI: 2.19–13.11], and were more likely to have previous stroke history [OR = 2.18, 95% CI: 1.01–4.79].Conclusion: Lower degrees of functional independence are related to cognitive impairment, as well as the previous stroke history and depression status.

2 August 2019 in BMC Public Health
Verified
Journal Article
Open access
PDF file
YZYue Zhang
Yue Zhang
YGYi’an Gu
Yi’an Gu
NWNa Wang
Na Wang
QZQi Zhao
Qi Zhao
Nawi NgNawi Ng
Nawi Ng
GZGenming Zhao
Genming Zhao
To determine the optimal cut-off values and evaluate the associations of body mass index (BMI), waist circumference (WC) and waist-height ratio (WHtR) with cardiovascular disease (CVD) risk factors. A large-scale cross-sectional survey was conducted among 35,256 adults aged 20–74 years in Shanghai between June 2016 and December 2017. Receiver operating characteristic (ROC) analyses were conducted to assess the optimal cut-off anthropometric indices of CVD risk factors including hypertension, diabetes, dyslipidemia and hyperuricemia. Multivariate Logistic regression models were preformed to evaluate the odds ratio of CVD risk factors. The area under the curve (AUC) of WHtR was significantly greater than that of BMI or WC in the prediction of hypertension and diabetes, and AUCs were higher in women than men. The optimal cut-off values of WHtR were approximately 0.51 in both sexes, while the cut-off values of BMI and WC were higher for men compared with women. The optimal cutoff values of BMI and WC varied greatly across different age groups, but the difference in WHtR was relatively slight. Among women, the optimal threshold of anthropometric indices appeared to increase with age for hypertension and diabetes. The odds ratio between anthropometric indices and CVD risk factors were attenuated with age. WHtR had the greatest odds ratio for CVD risk factors among adults under 60 years old except for women with hypertension, while among 60–74 years, BMI yielded the greatest odds ratio in terms of all CVD outcomes except for women with diabetes. WHtR had the best performance for discriminating hypertension and diabetes and potentially be served as a standard screening tool in public health. The associations between three anthropometric indices and CVD risk factors differed by sex and decreased with age. These findings indicated a need to develop age- and gender-specific difference and make effective strategies for primary prevention of CVDs.

4 February 2024 in Phytomedicine
Verified
Journal Article
Closed access
HXHao-Tian Xu
Hao-Tian Xu
QZQi Zheng
Qi Zheng
ZTZong-Guang Tai
Zong-Guang Tai
WJWen-Cheng Jiang
Wen-Cheng Jiang
SXShao-Qiong Xie
Shao-Qiong Xie
JSJiankun Song
Jiankun Song

16 July 2019 in Nutrients
Verified
Journal Article
Open access
PDF file
YWYingying Wang
Yingying Wang
YJYonggen Jiang
Yonggen Jiang
NWNa Wang
Na Wang
MZMeiying Zhu
Meiying Zhu
XLXing Liu
Xing Liu
GZGenming Zhao
Genming Zhao
Objective: Obesity and homocysteine (Hcy) are two important risk factors for cardiovascular disease (CVD). However, evidence on the association between obesity and Hcy concentration was conflicting. The aim of our study is to explore the associations of general and central obesity with hyperhomocysteinemia (HHcy) in middle-aged women. Methods: The current analysis was based on data from 11,007 women aged 40–60 years. Height, weight, and waist circumference (WC) were measured and serum homocysteine was determined. Multiple logistic regression models were used to assess the associations of the risk of hyperhomocysteinemia (HHcy, Hcy > 15 μmol/L) with BMI and WC. Results: 13.71% women had HHcy. The prevalences of BMI-based general obesity and WC-based central obesity were 11.17% and 22.88%, respectively. Compared with non-obese women, the mean serum Hcy concentration was significantly higher in WC-based central obese women (p = 0.002), but not in BMI-based general obese women (p > 0.05). In the multiple logistic regression models, central obesity was positively related to the risk of HHcy (OR = 1.30, 95% CI = 1.10 to 1.52), while general obesity was inversely related to the risk of HHcy (OR = 0.82, 95% CI = 0.72 to 0.93 and OR = 0.71, 95% CI = 0.57 to 0.89). Conclusions: Central obesity was positively related to the risk of HHcy, while general obesity was negatively related. Menopause showed no effect modification on these associations.