543 results match your criteria: "China Peking University Center for Public Health and Epidemic Preparedness & Response[Affiliation]"

What Is Already Known About This Topic?: Human immunodeficiency virus (HIV) self-testing serves as a crucial strategy for overcoming testing barriers, with urine-based self-testing emerging as a potential novel approach.

What Is Added By This Report?: In a real-world setting, this study demonstrated that the urine rapid test exhibited lower diagnostic accuracy compared to the blood rapid test. Study participants expressed stronger preferences for HIV self-testing methods utilizing finger prick samples, accompanied by standard written instructions and lower costs.

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Spirometric pattern and cardiovascular risk: a prospective study of 0.3 million Chinese never-smokers.

Lancet Reg Health West Pac

January 2025

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.

Article Synopsis
  • Non-smoking patients with restrictive spirometric patterns (RSP) or airflow obstruction (AFO) are at a higher risk of cardiovascular disease (CVD), particularly acute myocardial infarction and heart failure.
  • During a 12-year follow-up study, risks were notably elevated in women, especially underweight individuals, with the severity of AFO and reduced lung function contributing to increased risks.
  • The study highlights the need for further research to understand the impact of body shape on CVD risk among non-smokers with these respiratory conditions.
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[Statistical methods for extremely unbalanced data in genome-wide association study (2)].

Zhonghua Liu Xing Bing Xue Za Zhi

January 2025

Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing211166, China China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing211166, China.

Extremely unbalanced data refers to datasets with independent or dependent variables showing severe imbalances in proportions, which might lead to deviation of classical test statistics from theoretical distribution and difficulties in controlling type Ⅰ error. The increased availability of genome-wide resources from large population cohorts has highlighted the growing demand for efficient and accurate statistical methods for the process of extremely unbalanced data to improve the development of genetic statistical methods. This paper introduces two widely used correction methods in current genome-wide association study for extremely unbalanced data, i.

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[Distribution characteristics and heritability of alcohol consumption behavior in adult twins in China].

Zhonghua Liu Xing Bing Xue Za Zhi

January 2025

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China.

To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins. The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption.

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[Adiposity-related anthropometric parameters, indoles and atherosclerotic cardiovascular disease in Chinese adults: a prospective cohort study].

Zhonghua Liu Xing Bing Xue Za Zhi

January 2025

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing100191, China.

To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China. In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods.

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[Growing global public health challenges].

Zhonghua Liu Xing Bing Xue Za Zhi

January 2025

School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China.

Global public health is currently undergoing unprecedented and complex changes. The COVID-19 pandemic has exposed vulnerabilities and weaknesses of the global health system, urging nations globally to prioritize pandemic prevention and response strategies. Simultaneously, emerging infectious diseases such as mpox and avian influenza, as well as re-emerging infectious diseases including tuberculosis, AIDS, and viral hepatitis, continue to pose threats to global public health security.

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Global infectious disease early warning models: An updated review and lessons from the COVID-19 pandemic.

Infect Dis Model

June 2025

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.

An early warning model for infectious diseases is a crucial tool for timely monitoring, prevention, and control of disease outbreaks. The integration of diverse multi-source data using big data and artificial intelligence techniques has emerged as a key approach in advancing these early warning models. This paper presents a comprehensive review of widely utilized early warning models for infectious diseases around the globe.

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Effects of population aging on quality of life and disease burden: a population-based study.

Glob Health Res Policy

January 2025

Center for Public Health and Epidemic Preparedness and Response, Peking University, Haidian District, 38Th Xueyuan Road, Beijing, 100191, China.

Background: As population aging intensifies, it becomes increasingly important to elucidate the casual relationship between aging and changes in population health. Therefore, our study proposed to develop a systematic attribution framework to comprehensively evaluate the health impacts of population aging.

Methods: We used health-adjusted life expectancy (HALE) to measure quality of life and disability-adjusted life years (DALY) to quantify the burden of disease for the population of Guangzhou.

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Several studies have reported associations between specific heavy metals and essential trace elements and acute myocardial infarction (AMI). However, there is limited understanding of the relationships between trace elements and AMI in real-life co-exposure scenarios, where multiple elements may interact simultaneously. This cross-sectional study measured serum levels of 56 trace elements using inductively coupled plasma mass spectrometry.

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Adiposity and risks of gastrointestinal cancers: A 10-year prospective study of 0.5 million Chinese adults.

Int J Cancer

December 2024

Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Associations of adiposity with risks of oesophageal squamous cell carcinoma (ESCC) and non-cardia stomach cancer, both prevalent in China, are still inconclusive. While adiposity is an established risk factor for colorectal cancer, the relevance of fat-free mass and early-adulthood adiposity remains to be explored. The prospective China Kadoorie Biobank study included 0.

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Background: Seeking sexual partners in men who have sex with men (MSM) venues has been regarded as a high-risk behavior for HIV among MSM. Nevertheless, with the implementation of venue-based interventions and the change in the way MSM seek sexual partners, the continued status of MSM venues as the HIV risk factor remains inconclusive. This study endeavors to delve into this ambiguity by examining the MSM sexual contact network (SCN) as a foundation.

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Comparison of models to predict incident chronic liver disease: a systematic review and external validation in Chinese adults.

BMC Med

December 2024

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.

Background: Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).

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A predictive language model for SARS-CoV-2 evolution.

Signal Transduct Target Ther

December 2024

School of Basic Medical Science, Tsinghua University, 30 Shuangqing Rd., Haidian District, Beijing, 100084, China.

Modeling and predicting mutations are critical for COVID-19 and similar pandemic preparedness. However, existing predictive models have yet to integrate the regularity and randomness of viral mutations with minimal data requirements. Here, we develop a non-demanding language model utilizing both regularity and randomness to predict candidate SARS-CoV-2 variants and mutations that might prevail.

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[Recent advances in organ-system-specific biological age].

Zhonghua Liu Xing Bing Xue Za Zhi

December 2024

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China.

Biological age (BA) is a marker to accurately assess aging, facilitating the prediction of age-related diseases and promoting healthy aging. In recent years, first- and second-generation organ-system-specific BA has been developed using chronological age (CA) or aging-related outcomes (mortality) as training phenotypes and data from questionnaires, physical examinations, clinical biochemistry, imaging, and multi-omics to investigate the specificity of organ systems aging. Here, we review the methodologies for constructing BA, current efforts to assess organ system-specific BA, and related genome-wide association studies (GWAS).

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Phenotypic vs. Genetic Mismatch of BMI and Type 2 Diabetes: Evidence from Two Perspective Cohort Studies.

Diabetes

December 2024

Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.

Little is known about the population-based mismatch between phenotypic and genetic BMI (BMI-PGM) and its association with type 2 diabetes. We therefore used data from the China Kadoorie Biobank and UK Biobank and calculated BMI-PGM for each participant as the difference between the percentile for adjusted BMI at baseline and the percentile for adjusted polygenic risk score for BMI. Participants were categorized into discordantly low (BMI-PGM< the 1st quartile), concordant (the 1st quartile ≤BMI-PGM View Article and Find Full Text PDF

The subjectivity of morphological assessment and the overlapping pathological features of different subtypes of myeloproliferative neoplasms (MPNs) make accurate diagnosis challenging. To improve the pathological assessment of MPNs, we developed a diagnosis model (fusion model) based on the combination of bone marrow whole-slide images (deep learning [DL] model) and clinical parameters (clinical model). Thousand and fifty-one MPN and non-MPN patients were divided into the training, internal testing and one internal and two external validation cohorts (the combined validation cohort).

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[Associations of plasma acylcarnitine and bile acid levels with incidence of coronary heart disease in Chinese adults].

Zhonghua Yi Xue Za Zhi

December 2024

Department of Epidemiology Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China.

To explore the associations of plasma acylcarnitine and bile acid levels with the risk of incident coronary heart disease (CHD) in Chinese adults. The baseline survey of China Kadoorie Biobank (CKB) took place in 10 areas across China during 2004-2008, and the first resurvey took place from July to October 2008, with collection of data via questionnaire, physical examination and blood samples. The current study was based on 2 159 individuals with targeted mass spectrometry metabolomic measurements from the first resurvey of CKB.

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Associations of long-term nitrogen dioxide exposure with a wide spectrum of diseases: a prospective cohort study of 0·5 million Chinese adults.

Lancet Public Health

December 2024

Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Background: Little evidence is available on the long-term health effects of nitrogen dioxide (NO) in low-income and middle-income populations. We investigated the associations of long-term NO exposure with the incidence of a wide spectrum of disease outcomes, based on data from the China Kadoorie Biobank.

Methods: This prospective cohort study involved 512 724 Chinese adults aged 30-79 years recruited from ten areas of China during 2004-08.

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[An integrated curriculum for epidemiology and medical statistics teaching in undergraduate students majoring in clinical medicine: lesson learned from teaching reform].

Zhonghua Liu Xing Bing Xue Za Zhi

November 2024

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China.

Epidemiology and medical statistics are essential courses for undergraduate students majoring in clinical medicine. By studying the two courses, they can obtain the core skills for their future clinical practice. High-level medical schools both at home and abroad have accumulated successful experiences in curriculum, teaching methods and teaching models of the two disciplines.

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[Statistical methods for extremely unbalanced data in genome-wide association study (1)].

Zhonghua Liu Xing Bing Xue Za Zhi

November 2024

Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing211166, China National International Science and Technology Cooperation Base, Nanjing Medical University, Nanjing211166, China.

Extremely unbalanced data here refers to datasets where the values of independent or dependent variables exhibit severe unbalance in proportions, such as extremely unbalanced case-control ratio, very low incidence rate of disease, heavily censored time-to-event data, and low-frequency or rare variants. In such scenarios, the statistic derived from hypothesis test using the classical statistical method, e.g.

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[Current and predicted disease burden in middle aged and elderly population aged 55 years and above in Shenzhen, 2016-2030].

Zhonghua Liu Xing Bing Xue Za Zhi

November 2024

Department of Operations Management (Department of Primary Public Health Promotion), Shenzhen Municipal Center for Disease Control and Prevention, Shenzhen518055, China.

To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies. The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend.

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Associations of Muscle-Related Metrics With Respiratory Disease in Chinese Adults: A Prospective Cohort Study.

J Cachexia Sarcopenia Muscle

February 2025

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Article Synopsis
  • - The study investigates the link between muscle mass, strength, quality, and respiratory diseases specifically in a Chinese population, using data from the China Kadoorie Biobank.
  • - Researchers followed 17,510 participants over approximately 4.82 years and found that those with low grip strength and poor arm muscle quality had significantly higher risks of developing respiratory diseases, with hazard ratios of 1.31 and 1.25, respectively.
  • - The results suggest that low grip strength and arm muscle quality are more predictive of respiratory disease risk compared to overall muscle mass, emphasizing their importance as health indicators.
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Risk factors for severe COPD exacerbation in Chinese adults.

Int J Tuberc Lung Dis

December 2024

Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;, Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China;, Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.

BACKGROUNDSevere exacerbation is the predominant cause of COPD hospitalisation. We investigated sex-specific risk factors of severe exacerbation and explored the potential interactions of regions, smoking status, and age.METHODSThe present study included 13,641 males and 13,051 females with spirometry-defined COPD at baseline from the China Kadoorie Biobank.

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