342 results match your criteria: "Key Laboratory of Epidemiology of Major Diseases Peking University[Affiliation]"
Zhonghua Liu Xing Bing Xue Za Zhi
October 2024
Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Center for Real-world Evidence Evaluation, Peking University Clinical Research Institute, Beijing 100191, China.
Patients with chronic kidney disease (CKD) have a relatively high risk of cardiovascular disease (CVD). Risk stratification guided by CVD risk prediction models is essential for managing CKD populations. We reviewed the outcome events, predictive variables, modeling methods, and predictive performance of CVD risk prediction models in CKD populations.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
October 2024
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China.
The disease risk prediction model is the basis of precision prevention and an essential reference for clinical treatment decisions. The development of risk prediction models requires the support of a large amount of high-quality data. A large population cohort study is an important basis for this study.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
October 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China.
To construct a risk prediction model for diabetes kidney disease (DKD). Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
October 2024
Qingdao Institute of Preventive Medicine, Qingdao 266033, China Qingdao Municipal Center for Disease Control and Prevention, Qingdao 266033, China.
To investigate the association between solid fuel use for heating, smoking, and respiratory diseases. This study is based on the Qingdao project of the China Kadoorie Biobank. After screening, 26 165 individuals were included in the study.
View Article and Find Full Text PDFBMC Public Health
October 2024
Department of Chronic and Non-Communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, No. 6 Zhongxue Road, Wuhou District, Chengdu, Sichuan Province, 610041, China.
Background: Sleep can function as a potential modifiable risk factor in the control and prevention of stroke. Geography significantly influences sleep patterns. The association of sleep with stroke in population of Southwest China has not so far been investigated.
View Article and Find Full Text PDFJ Infect Dis
October 2024
Department of Medical Statistics, School of Public Health & Sun Yat-sen Global Health Institute & Center for Health Information Research, Sun Yat-sen University, Guangzhou, China.
Background: HIV/AIDS among the elderly presents a new public health challenge in China. We aimed to explore historical trends (2004-2018) and project the future (2019-2030) burden of HIV/AIDS incidence and mortality among the elderly in China.
Methods: We utilized data from the Data Center of China Public Health Science database on HIV/AIDS incidence and mortality, employing the Bayesian age-period-cohort model to reveal the age-period-cohort effect in the HIV/AIDS burden, and projecting the incidence and mortality rates up to 2030.
Eur Respir J
December 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
Environ Int
October 2024
Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Beijing Da Xue Xue Bao Yi Xue Ban
October 2024
Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Br J Psychiatry
October 2024
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China; IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Chinese Academy of Medical Sciences, Beijing, China; and Chinese Institute for Brain Research, Beijing, China.
Background: Observational studies have shown a controversial relationship between dietary fat intake and Alzheimer's disease, and the causal effects are unclear.
Aims: To assess the causal effects of total fat, saturated fat and polyunsaturated fat (PUF) intakes on the risk of Alzheimer's disease.
Method: A two-sample Mendelian randomisation analysis was performed using genome-wide association study summary statistics on different types of fat intake from UK Biobank ( = 51 413) and on late-onset Alzheimer's disease (LOAD; 4282 cases, = 307 112) and all forms of Alzheimer's disease (6281 cases, = 309 154) from the FinnGen consortium.
Int J Epidemiol
August 2024
Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: Higher body mass index (BMI) is associated with higher incidence of cardiovascular and some non-cardiovascular diseases (CVDs/non-CVDs). However, uncertainty remains about its associations with mortality, particularly at lower BMI levels.
Methods: The prospective China Kadoorie Biobank recruited >512 000 adults aged 30-79 years in 2004-08 and genotyped a random subset of 76 000 participants.
J Expo Sci Environ Epidemiol
October 2024
Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China.
J Infect Public Health
November 2024
School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China; Institute for Global Health and Development, Peking University, No. 5 Yiheyuan Road, Haidian District, Beijing 100871, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China. Electronic address:
Stroke
November 2024
Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China (S.C., S.W.).
Cell Death Dis
September 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
BMC Med
September 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Background: Previous studies only considered the impact of a single physical or psychological disorder on dementia. Our study investigated the association of physical and psychological multimorbidity with dementia among older adults using two multinational prospective cohorts to supplement the limited joint evidence.
Methods: We utilized the Health and Retirement Study (HRS 2012 to 2018) in the United States (US) and the Survey of Health, Ageing and Retirement in Europe (SHARE 2012 to 2018).
Sci Rep
September 2024
Department of Global Health, School of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
Metabolic dysfunction-associated steatotic liver disease (MASLD) brings heavy clinical and economic burdens to patients worldwide. High fasting plasma glucose (HFPG) was proven to be an important modifiable risk factor. However, the global burden distribution of HFPG-attributable MASLD has not been fully studied.
View Article and Find Full Text PDFGlob Health Res Policy
September 2024
Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
BMJ Open
September 2024
Department of Epidemiology and Biostatistics, Peking University, Beijing, China
Objectives: To estimate the interaction between economic status (ES) and healthy lifestyle in long COVID among Chinese older people infected with SARS-CoV-2.
Design: A cross-sectional study based on the Peking University Health Cohort in Anning, Yunnan.
Setting: All primary health institutions in Anning, Yunnan Province, China, from April to May 2023.
JMIR Public Health Surveill
September 2024
Department of Medical Statistics, School of Public Health & Research Center for Health Information, Sun Yat-sen Global Health Institute, Sun Yat-sen University, 2nd Zhongshan Road, Guangzhou, 510000, China.
Precis Clin Med
September 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Circ Res
October 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China (Y.M., C.Y., D.S., Y.P., L. Li, J.L.).
Background: Alterations in lipid metabolism and DNA methylation are 2 hallmarks of aging. Connecting metabolomic, epigenomic, and aging outcomes help unravel the complex mechanisms underlying aging. We aimed to assess whether DNA methylation clocks mediate the association of circulating metabolites with incident atherosclerotic cardiovascular disease (ASCVD) and frailty.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
September 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China.
To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM). Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
September 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Institute for Artificial Intelligence, Peking University, Beijing 100871, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China.
To summarize the characteristics of pharmacoepidemiologic research involving diabetes patients, which were published in recent years, in terms of study design and analysis, and develop an identification process for time-related biases in pharmacoepidemiologic research. PubMed, Embase, CNKI and Wanfang were used for a systematical literature retrieval of relevant study papers published between January 1,2012 and September 26, 2022. Literature screening and data extraction were performed independently by two reviewers.
View Article and Find Full Text PDFJ Lipid Res
September 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China. Electronic address: