H
Han Qi
Researcher at Capital Medical University
Publications - 48
Citations - 636
Han Qi is an academic researcher from Capital Medical University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 9, co-authored 34 publications receiving 201 citations.
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Predictors and trajectories of fear of cancer recurrence in Chinese breast cancer patients.
Yuan Yang,Han Qi,Wengao Li,Ting Liu,Wenjing Xu,Shunzhen Zhao,Fan Yang,Gerry Humphris,Yu Chen,Hengwen Sun +9 more
TL;DR: Wang et al. as mentioned in this paper explored the trajectories of FCR over the 18 months following discharge, and evaluated the associations between baseline demographic and clinical variables and FCR trajectories among Chinese women treated for breast cancer.
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Discrepant acute effect of saline loading on blood pressure, urinary sodium and potassium according to salt intake level: EpiSS study
Wenjuan Peng,Yunyi Xie,Kuo Liu,Han Qi,Zheng Liu,Juan Xia,Han Cao,Chunyue Guo,Yanyan Sun,Xiaohui Liu,Bingxiao Li,Fuyuan Wen,Fengxu Zhang,Ling Zhang +13 more
TL;DR: Avoiding acute salt loading was important for escaping acute BP changes, especially in lower salt intake populations, and the increased SBP was negatively related with 24hUNa.
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Association of Serum Metabolites and Salt Sensitivity of Blood Pressure in Chinese Population: The EpiSS Study
Fengxu Zhang,Yunyi Xie,Xiaojun Yang,Wenjuan Peng,Han Qi,Bingxiao Li,Fuyuan Wen,Pandi Li,Yuan Sun,Lin Zhuang +9 more
TL;DR: In this article , a case-control study was conducted with 25 salt sensitive and 26 salt resistant participants, which was selected from the Systems Epidemiology Study on Salt Sensitivity of Blood Pressure (EpiSS) study.
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Responses to the comment: Anxiety and depression among Chinese adolescents during the COVID-19: an overestimation of the problem
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Combined effects of ambient air pollution and PM2.5 components on renal function and the potential mediation effects of metabolic risk factors in China.
TL;DR: In this paper , the combined effects of air pollutant mixture on renal function and multiple mediation effects of metabolic risk factors were investigated using linear mixed models and quantile G-computation was used to assess the combined effect of pollutant mixtures.