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The Healthy China 2030 Plan set the goal of reducing premature deaths from diabetes by 30% by 2030. However, there has been a lack of assessment of premature mortality for diabetes since the action plan was issued. This study used data from the Global Burden of Disease Study 2021, calculated the premature deaths for diabetes by sex, provinces, and subtypes from 1990 to 2021. We explored the temporal trend of premature mortality using the average annual percent change (AAPC) for different sexes, provinces, and subtypes from 1990 to 2021. Furthermore, we predicted premature mortality for diabetes through 2030 for China and its provinces according to the average annual change rate from 2010 to 2021. There was a first slow upward trend in premature mortality for diabetes from 0.5% in 1990 to 0.6% in 2004, and then a decline until 2021 with premature mortality of 0.4%. By 2030, only Fujian (30.3%) will achieve the desired level of reduction, with only seven provinces meeting the target for females and none for males. There is a large range in the degree of decline between inland and coastal regions, showing obvious geographic differences, and there should be a focus on balancing medical resources.
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http://dx.doi.org/10.1007/s11684-025-1141-7 | DOI Listing |
JAMA Pediatr
September 2025
Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.
Importance: Neonatal intensive care has advanced over recent decades, yet premature birth remains associated with increased neonatal mortality and morbidity.
Objective: To describe health service use, morbidity, and medication needs up to age 5 years in a contemporary cohort of children born preterm.
Design, Setting, And Participants: This population-based cohort study was conducted in British Columbia (BC), Canada, using health service and pharmacy data linked using provincial administrative databases.
JAMA
September 2025
Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
J Obstet Gynaecol Res
September 2025
Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Aims: Preterm delivery (PTD) is a leading cause of neonatal morbidity and mortality. Accurate prediction is crucial for optimizing clinical outcomes, particularly in women with a short cervix. Although fetal fibronectin (FFN) is widely used to predict PTD, placental alpha-microglobulin-1 (PAMG-1) has gained attention for its potential to improve predictive accuracy.
View Article and Find Full Text PDFJNCI Cancer Spectr
September 2025
Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Background: Political determinants of cancer risk are largely unexplored, conceptually and empirically.
Methods: Observational analysis of associations present in 2017-2021 between 5 state-level political metrics and 4 age-standardized cancer outcomes (regional and distant stage at diagnosis for breast, cervical, and colorectal cancer among screening-age adults and premature cancer mortality), overall and in standardized linear regression models adjusting for state-level poverty and medical uninsurance.
Results: In fully adjusted models (adjusted for state-level poverty and state-level medical uninsurance variables: % working age adults [age 35-64] without medical insurance; number of years of state Medicaid expansion), each 1 SD shift toward a more liberal political ideology (measured by voting record) among elected officials in the US House of Representatives was associated with decreased risk of diagnosis with regional and distant breast and colorectal cancer (respectively: -0.
Background: Most previous mortality research in eating disorders involves individuals attending specialist treatment services. Data linkage across jurisdictional health databases at a population level improves the generalisability of findings.
Aims: To investigate mortality risk and causes of death for people with an eating disorder across a large geographic region using administrative health datasets.