Associations of fasting plasma glucose with all-cause mortality and cardiovascular events in older Chinese diabetes patients: A population-based cohort study.

Aims/introduction: Our aim was to investigate the optimal fasting glucose (FPG) range in Chinese older adults with type 2 diabetes, and to clarify whether the optimal range varies according to the control of risk factors.

Materials And Methods: The baseline survey for the cohort study began in 2018, with follow up ending in 2022. Our study enrolled 59,030 older diabetes patients with no history of cardiovascular disease (CVD).

Association of breakfast, total diet quality, and mental health in adolescents: a cross-sectional study of HBSC in Greece.

The emerging field of nutritional psychiatry offers proof that diet quality can be changed to reduce one's risk of developing mental illness. What you eat has a big impact on teenage mental health, and the quality and frequency of breakfast, as well as the different food groups, can affect adolescent mental health. In this study, regression models were employed to analyze four indicators (self-rated health, body satisfaction, life satisfaction, and eight symptoms) of mental health problems as well as demographic factors (gender, age, body mass index, affluence class, physical activity), with forest plots displaying the regression connections.

Serum uric acid is associated with chronic kidney disease in elderly Chinese patients with diabetes.

Background: The relationship between hyperuricemia and chronic kidney disease (CKD) has been investigated extensively. However, studies on elderly individuals are still limited. Moreover, there is no consensus on whether hyperuricemia or elevated serum uric acid (SUA) within the normal range is correlated with the new onset of CKD and whether there are differences between males and females.

Disability weight measurement for the severity of different diseases in Wuhan, China.

Background: Measurement of the Chinese burden of disease with disability-adjusted life-years (DALYs) requires disability weight (DW) that quantify health losses for all non-fatal consequences of disease and injury. The Global Burden of Disease (GBD) 2013 DW study indicates that it is limited by lack of geographic variation in DW data and by the current measurement methodology. We aim to estimate DW for a set of health states from major diseases in the Wuhan population.

A multicenter prospective study of next-generation sequencing-based newborn screening for monogenic genetic diseases in China.

Background: Newborn screening (NBS) is an important and successful public health program that helps improve the long-term clinical outcomes of newborns by providing early diagnosis and treatment of certain inborn diseases. The development of next-generation sequencing (NGS) technology provides new opportunities to expand current newborn screening methodologies.

Methods: We designed a a newborn genetic screening (NBGS) panel targeting 135 genes associated with 75 inborn disorders by multiplex PCR combined with NGS.

Mortality and Years of Life Lost Due to Brain and Other Central Nervous System Cancer in Wuhan, China, from 2010 to 2019.

Background: Brain cancer is one of the worst types of cancer worldwide. Understanding the epidemiology of CNS cancer is critical for properly allocating healthcare resources.

Methods: We collected data on CNS cancer deaths in Wuhan, China, during 2010-2019.

Secular Trends of Liver Cancer Mortality and Years of Life Lost in Wuhan, China 2010-2019.

Background: Liver cancer has caused a heavy burden worldwide. This study aimed to estimate the trends in the mortality and years of life lost (YLL) due to liver cancer and decompose the total deaths into three contributors: population growth, population aging, and mortality change.

Methods: Our study used data from the cause-of-death surveillance system in Wuhan.

Localized Instillation Enables Screening of Targeting Peptides Using One-Bead One-Compound Technology.

The One-Bead One-Compound (OBOC) library screening is an efficient technique for identifying targeting peptides. However, due to the relatively large bead size, it is challenging for the OBOC method to be applied for screening. Herein, we report an Localized Instillation Beads library (LIB) screening method to discover targeting peptides with the OBOC technique.

Temporal trends in lung cancer mortality and years of life lost in Wuhan, China, 2010-2019.

Objective: Lung cancer is responsible for millions of deaths yearly, and its burden is severe worldwide. This study aimed to investigate the burden of lung cancer in the population of Wuhan based on the surveillance data from 2010 to 2019.

Methods: Data of this study was obtained from the Mortality Register System established by the Wuhan Center for Disease Control and Prevention.

Association of social support with cognition among older adults in China: A cross-sectional study.

Objective: This study aimed to examine the relationship between social support and its sub-domains and cognitive performance, and the association with cognitive impairment among older adults in China.

Design: A cross-sectional study.

Setting And Participants: We included 865 community-based individuals aged 65 and above from Hubei province, China.

Association of Sleep Duration With All-Cause and Cardiovascular Mortality: A Prospective Cohort Study.

To clarify the association of sleep duration with all-cause and cardiovascular mortality, and further estimate the population attributable fraction (PAF) for the 10-year risk of cardiovascular disease (CVD) due to inappropriate sleep duration among US adults, we included data of the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2014 by linkage to the National Death Index until December 31, 2015 in a prospective design. Cox proportional hazards models were used for multivariate longitudinal analyses. The Pooled Cohort Equations methods was adopted to calculate the predicted 10-year CVD risk.

Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study.

Background: The disability weight (DW) quantifies the severity of health states from disease sequela and is a pivotal parameter for disease burden calculation. We conducted a national and subnational DW measurement in China.

Methods: In 2020-2021, we conducted a web-based survey to assess DWs for 206 health states in 31 Chinese provinces targeting health workers via professional networks.

Predicting the 2-Year Risk of Progression from Prediabetes to Diabetes Using Machine Learning among Chinese Elderly Adults.

Identifying people with a high risk of developing diabetes among those with prediabetes may facilitate the implementation of a targeted lifestyle and pharmacological interventions. We aimed to establish machine learning models based on demographic and clinical characteristics to predict the risk of incident diabetes. We used data from the free medical examination service project for elderly people who were 65 years or older to develop logistic regression (LR), decision tree (DT), random forest (RF), and extreme gradient boosting (XGBoost) machine learning models for the follow-up results of 2019 and 2020 and performed internal validation.

Prevalence, awareness and control of type 2 diabetes mellitus and risk factors in Chinese elderly population.

Background: Type 2 diabetes mellitus is an expanding global public health issue, especially in developing countries. This study aimed to investigate the prevalence, awareness and control rate of type 2 diabetes mellitus, and assess its risk factors in elderly Chinese individuals.

Methods: The health screening data of 376,702 individuals aged ≥ 65 years in Wuhan, China, were collected to analyse the prevalence, awareness, and control rates of diabetes.

Predicting the Risk of Incident Type 2 Diabetes Mellitus in Chinese Elderly Using Machine Learning Techniques.

Early identification of individuals at high risk of diabetes is crucial for implementing early intervention strategies. However, algorithms specific to elderly Chinese adults are lacking. The aim of this study is to build effective prediction models based on machine learning (ML) for the risk of type 2 diabetes mellitus (T2DM) in Chinese elderly.

How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort.

Background: Epidemiological evidence linking type 2 diabetes mellitus (T2DM) with air pollution is discrepant and most are restricted to the influences of air-pollutant mass concentration. This study aims to explore the effects of long-term exposure to air pollution and its metal constituents on T2DM prevalence in China.

Methods: We used data on 10,253 adult residents from the baseline survey of Wuhan Chronic Disease Cohort in 2019.

Transmission of COVID-19 from community to healthcare agencies and back to community: a retrospective study of data from Wuhan, China.

Background: The early spatiotemporal transmission of COVID-19 remains unclear. The community to healthcare agencies and back to community (CHC) model was tested in our study to simulate the early phase of COVID-19 transmission in Wuhan, China.

Methods: We conducted a retrospective study.

Associations of long-term exposure to ambient air pollutants with metabolic syndrome: The Wuhan Chronic Disease Cohort Study (WCDCS).

Background: Evidence on the associations between long-term exposure to ambient air pollutants (including particle with aerodynamic diameter ≤10 μm (PM), particle with aerodynamic diameter ≤2.5 μm (PM), ozone (O), nitrogen dioxide (NO), and sulfur dioxide (SO)) and prevalence of metabolic syndrome (MetS) remains inconclusive. This study aimed to determine the associations based on a case-control study nested in the Wuhan Chronic Disease Cohort study (WCDCS), a population-based study with baseline survey in 2019.

Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.

The spatial and temporal characteristics of drought in Northeast China are investigated, using monthly meteorological data from 140 stations over the period 1970-2014. The study area was divided into three regions using hierarchical cluster analysis based on the precipitation and potential evapotranspiration data. The standardized precipitation evapotranspiration index (SPEI) was calculated for each station on 3-month and 12-month time scales.

Short-term exposure to ambient air pollution and type 2 diabetes mortality: A population-based time series study.

Acute health effects of air pollution on diabetes risk have not been fully studied in developing countries and the results remain inconsistent. This study aimed to investigate the association between short-term exposure to ambient air pollution and Type 2 diabetes mellitus (T2DM) mortality in China. Data on T2DM mortality from 2013 to 2019 were obtained from the Cause of Death Reporting System (CDRS) of Wuhan Center for Disease Control and Prevention.

Association between ambient air pollution and mortality from chronic obstructive pulmonary disease in Wuhan, China: a population-based time-series study.

Evidence on the short-term effects of ambient air pollution on chronic obstructive pulmonary disease (COPD) mortality is still not conclusive. The aim of this study was to investigate the relationships between them in Wuhan China. Daily death numbers, concentrations of air pollutants (PM, PM, SO, NO, and O), and meteorological characteristics in Wuhan from January 1, 2014, to December 31, 2019, were collected.

Excess mortality in Wuhan city and other parts of China during the three months of the covid-19 outbreak: findings from nationwide mortality registries.

Objective: To assess excess all cause and cause specific mortality during the three months (1 January to 31 March 2020) of the coronavirus disease 2019 (covid-19) outbreak in Wuhan city and other parts of China.

Design: Nationwide mortality registries.

Setting: 605 urban districts and rural counties in China's nationally representative Disease Surveillance Point (DSP) system.

Ambient air pollution and cerebrovascular disease mortality: an ecological time-series study based on 7-year death records in central China.

Most studies of short-term exposure to ambient air pollution and cerebrovascular diseases focused on specific stroke-related outcomes, and results were inconsistent due to data unavailability and limited sample size. It is unclear yet how ambient air pollution contributes to the total cardiovascular mortality in central China. Daily deaths from cerebrovascular diseases were obtained from the Disease Surveillance Point System (DSPs) of Wuhan Center for Disease Control and Prevention during the period from 2013 to 2019.