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303 results on '"Fang, Xianghua"'

3. Cohort profile: Beijing Healthy Aging Cohort Study (BHACS)

Author

Liu, Miao, Yang, Junhan, Wang, Chunxiu, Yang, Shanshan, Wang, Jianhua, Hou, Chengbei, Wang, Shengshu, Li, Xiaoying, Li, Fang, Yang, Hongbing, Li, Haowei, Liu, Shaohua, Chen, Shimin, Hu, Shimin, Li, Xuehang, Li, Zhiqiang, Li, Rongrong, Li, Huaihao, Bao, Yinghui, Shi, Yueting, Tang, Zhe, Fang, Xianghua, and He, Yao

Published
2024
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16. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents

Author

Di Angelantonio, Emanuele, Bhupathiraju, Shilpa N, Wormser, David, Gao, Pei, Kaptoge, Stephen, de Gonzalez, Amy Berrington, Cairns, Benjamin J, Huxley, Rachel, Jackson, Chandra L, Joshy, Grace, Lewington, Sarah, Manson, JoAnn E, Murphy, Neil, Patel, Alpa V, Samet, Jonathan M, Woodward, Mark, Zheng, Wei, Zhou, Maigen, Bansal, Narinder, Barricarte, Aurelio, Carter, Brian, Cerhan, James R, Collins, Rory, Smith, George Davey, Fang, Xianghua, Franco, Oscar H, Green, Jane, Halsey, Jim, Hildebrand, Janet S, Jung, Keum Ji, Korda, Rosemary J, McLerran, Dale F, Moore, Steven C, O'Keeffe, Linda M, Paige, Ellie, Ramond, Anna, Reeves, Gillian K, Rolland, Betsy, Sacerdote, Carlotta, Sattar, Naveed, Sofianopoulou, Eleni, Stevens, June, Thun, Michael, Ueshima, Hirotsugu, Yang, Ling, Yun, Young Duk, Willeit, Peter, Banks, Emily, Beral, Valerie, Chen, Zhengming, Gapstur, Susan M, Gunter, Marc J, Hartge, Patricia, Jee, Sun Ha, Lam, Tai-Hing, Peto, Richard, Potter, John D, Willett, Walter C, Thompson, Simon G, Danesh, John, and Hu, Frank B

Published
2016
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23. Cohort Profile: Beijing Healthy Aging Cohort(BHACS)

Author

Liu, Miao, primary, Yang, Junhan, additional, Wang, Chunxiu, additional, Yang, Shanshan, additional, Wang, Jianhua, additional, Hou, Chengbei, additional, Wang, Shengshu, additional, Li, Xiaoying, additional, Li, Fang, additional, Yang, Hongbing, additional, Li, Haowei, additional, Liu, Shaohua, additional, Chen, Shimin, additional, Hu, Shimin, additional, Li, Xuehang, additional, Li, Zhiqiang, additional, Li, Rongrong, additional, Li, Huaihao, additional, Bao, Yinghui, additional, Shi, Yueting, additional, Tang, Zhe, additional, Fang, Xianghua, additional, and He, Yao, additional

Published
2023
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30. Additional file 1 of A frailty index based on routine laboratory data predicts increased risk of mortality in Chinese community-dwelling adults aged over 55 years: a five-year prospective study

Author

Wang, Chunxiu, Fang, Xianghua, Tang, Zhe, Hua, Yang, Zhang, Zhongying, Gu, Xiang, Liu, Beibei, and Ji, Xunming

Abstract

Additional file 1: Supplementary table 1. Variables and coding used to construct the 30-item FI. Supplementary table 2. Baseline demographic characteristics and mortality by grades of frailty in the subjects aged over 65 years. Supplementary table 3. Comparison of FI-self-report vs FI-lab vs FI-combined for Prediction of 5-year mortality in the subjects aged over 65 years. Supplementary table 4. Baseline characteristics of the survived and dropped-out at 5 years. Supplementary fig 1. The flowchart of participants through the study. Supplementary fig 2. Receiver operating characteristic (ROC) curves.

Published
2022
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33. Prevalence and Risk Factors Comparison of Anterior and Posterior Intracranial Arterial Stenosis

Author

Zhao, Yan, primary, Liu, Beibei, additional, Wang, Chunxiu, additional, Guan, Shaochen, additional, Liu, Chunxiao, additional, Zhang, Yanlei, additional, Hou, Chengbei, additional, Song, Xiaowei, additional, Zhang, Zhongying, additional, Wu, Xiaoguang, additional, Li, Huihui, additional, Gu, Xiang, additional, Hu, Shimin, additional, Wu, Jian, additional, and Fang, Xianghua, additional

Published
2022
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40. Gender differences in functional health and mortality among the Chinese elderly: testing an exposure versus vulnerability hypothesis

Author

Kaneda, Toshiko, Zimmer, Zachary, Fang, Xianghua, and Tang, Zhe

Subjects
Aging -- Research, Mortality -- China, Mortality -- Demographic aspects, Life skills -- Demographic aspects, Psychology and mental health, Seniors
Abstract

In this study, the authors focused on older adults in Beijing with three objectives: to examine gender differences in functional health and mortality at the end of a five-year study period, controlling for initial functional health; to determine the extent to which these differences were a function of exposure versus vulnerability to risk factors; and to analyze the relative importance of social, economic, and psychological risk factors in explaining gender differences. The results show that women were more likely to survive and to be functionally dependent at follow-up compared with men among those functionally independent at baseline. No significant differences among those who were initially dependent were apparent. Differential vulnerability to risk factors, more so than exposure, explained the variation in health outcomes across gender. Smoking, a lack of formal education, a lack of health insurance, a low sense of control, stressful events, and rural living played large roles in explaining the differences. Keywords: gender; mortality; functional status; aging; China

Published
2009

41. The prevalence and characteristics of metabolic syndrome according to different definitions in China: a nationwide cross-sectional study, 2012-2015.

Author

Huang, Yilin, Zhang, Linfeng, Wang, Zengwu, Wang, Xin, Chen, Zuo, Shao, Lan, Tian, Ye, Zheng, Congying, Chen, Lu, Zhou, Haoqi, Cao, Xue, Tian, Yixin, Gao, Runlin, for the China Hypertension Survey investigators, Hu, Liqun, Li, Hongqi, Zhang, Qi, Yan, Guang, Zhu, Fangfang, and Fang, Xianghua

Subjects
METABOLIC syndrome, CROSS-sectional method, FAMILY history (Medicine), CHINESE people, DEFINITIONS
Abstract

Background: Metabolic syndrome (MetS) is characterized by a cluster of signs of metabolic disturbance and has caused a huge burden on the health system. The study aims to explore the prevalence and characteristics of MetS defined by different criteria in the Chinese population.Methods: Using the data of the China Hypertension Survey (CHS), a nationally representative cross-sectional study from October 2012 to December 2015, a total of 28,717 participants aged 35 years and above were included in the analysis. The MetS definitions of the International Diabetes Federation (IDF), the updated US National Cholesterol Education Program Adult Treatment Panel III (the revised ATP III), and the Joint Committee for Developing Chinese Guidelines (JCDCG) on Prevention and Treatment of Dyslipidemia in Adults were used. Multivariable logistic regression was used to identify factors associated with MetS.Results: The prevalence of MetS diagnosed according to the definitions of IDF, the revised ATP III, and JCCDS was 26.4%, 32.3%, and 21.5%, respectively. The MetS prevalence in men was lower than in women by IDF definition (22.2% vs. 30.3%) and by the revised ATP III definition (29.2% vs. 35.4%), but the opposite was true by JCDCG (24.4%vs 18.5%) definition. The consistency between the three definitions for men and the revised ATP III definition and IDF definition for women was relatively good, with kappa values ranging from 0.77 to 0.89, but the consistency between the JCDCG definition and IDF definition (kappa = 0.58) and revised ATP III definition (kappa = 0.58) was poor. Multivariable logistic regression showed that although the impact and correlation intensity varied with gender and definition, area, age, education, smoking, alcohol use, and family history of cardiovascular disease were factors related to MetS.Conclusions: The prevalence and characteristics of the MetS vary with the definition used in the Chinese population. The three MetS definitions are more consistent in men but relatively poor in women. On the other hand, even if estimated according to the definition of the lowest prevalence, MetS is common in China. [ABSTRACT FROM AUTHOR]

Published
2022
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42. Homocysteine and the Risk of Cardiovascular Events and All-Cause Death in Elderly Population: A Community-Based Prospective Cohort Study

Author

Zhang,Zhongying, Gu,Xiang, Fang,Xianghua, Tang,Zhe, Guan,Shaochen, Liu,Hongjun, Wu,Xiaoguang, Wang,Chunxiu, and Zhao,Yan

Subjects
Therapeutics and Clinical Risk Management
Abstract

Zhongying Zhang,1 Xiang Gu,2 Xianghua Fang,3 Zhe Tang,4 Shaochen Guan,3 Hongjun Liu,3 Xiaoguang Wu,3 Chunxiu Wang,3 Yan Zhao5 1Geriatric Department, Evidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China; 2Medical Affair Department, Beijing Friendship Hospital, Capital Medical University, Beijing, People’s Republic of China; 3Evidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China; 4Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China; 5Education Department, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Xianghua FangEvidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing 100053, People’s Republic of ChinaTel/Fax +86-010-63153439Email fangxh_2015@126.comBackground: The association between homocysteine and cardiovascular diseases (CVD) and all-cause death was inconclusive. A community-based prospective cohort study was carried out in Beijing to evaluate this association in elderly population for more effective clinical prediction and primary prevention of CVD.Patients and Methods: Participants were randomly selected from Beijing, China. Questionnaire survey, physical examinations, and laboratory tests were carried out to collect baseline information and investigate clinical characteristics. Each participant was predetermined to be followed by 5 years. CVD events and death were collected as primary variables. A Cox regression analysis was performed to assess the risk of CVD events, CVD death, and all-cause death contributed by homocysteine as well as some other risk factors.Results: A total of 1257 participants with an average age of 69.16 years were enrolled in this study. After adjusting for confounders, the hazard ratios (HRs) and 95% confidence intervals of CVD event, CVD death, and all-cause death caused by intermediate-to-severe hyperhomocysteinemia as compared with normal homocysteine levels were 1.68 (95% CI 1.06– 2.67), 1.97 (95% CI 0.95– 4.29) and 2.02 (95% CI 1.26– 3.24), respectively. Intermediate-to-severe hyperhomocysteinemia increased the risks of CVD event (HR 2.07, 95% CI 1.01– 4.26) and all-cause death (HR 3.08, 95% CI 1.56– 6.07) among male participants. However, the positive association was not statistically significant among female participants (HR 1.59, 95% CI 0.83– 3.04 for CVD event and HR 0.90, 95% CI 0.52– 6.07 for all-cause death). Every 5μmol/L increment in homocysteine concentration was shown to be associated with a 4% (HR 1.04, 95% CI 1.01– 1.07) and 5% (HR 1.05, 95% CI 1.01– 1.07) higher risk of CVD events and all-cause death in all participants. There was no significant association between moderate hyperhomocysteinemia and the risk of the CVD events and all-cause death.Conclusion: Intermediate-to-severe hyperhomocysteinemia was significantly associated with CVD events and all-cause death in elderly population without a history of ischemia or congestive heart failure (CHF). The positive association was pronounced among males.Keywords: homocysteine, cardiovascular disease, all-cause death, prospective cohort study

Published
2020

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