Related Experiment Video
Updated: Jun 12, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Trends in under-five mortality rate in China, 1996-2020: a Joinpoint regression and correlation analysis
Jian-Min Lv1, Nan Chen1, Xi-Ning He1
1Shaanxi Provincial Rehabilitation Hospital, Xi'an, China.
Objectives:
To analyse annual trends of the under-five mortality rate (U5MR) and main cause-specific U5MR in China from 1996 to 2020 and to assess the potential correlation of the healthcare system and health expenditure with the U5MR in China.
Design:
A retrospective observational study using national data from 1996 to 2020. Joinpoint regression was employed to model U5MR trends and Pearson correlation analysis was conducted to examine the relationship between healthcare system factors, health expenditure and U5MR.
Setting:
Nationwide study covering both rural and urban populations across China over a 25-year period.
Results:
The U5MR in China experienced a three-stage decline from 1996 to 2020 with an average annual percentage rate change (AAPC) of -7.27 (p<0.001). The AAPC of the rural U5MR (-7.07, p<0.001) was higher than that in urban areas (-5.57, p<0.001). Among the five main causes, the decrease in pneumonia-caused U5MR was the fastest while the decreases in congenital heart disease and accidental asphyxia were relatively slow. The rates of hospital delivery (r=-0.981, p<0.001), neonatal visits (r=-0.848, p<0.001) and systematic health management (r=-0.893, p<0.001) correlated negatively with U5MR. The proportion of government health expenditure in the total health expenditure (THE) correlated negatively with the national U5MR (r=-0.892, p<0.001) while the proportion of out-of-pocket health expenditure in THE correlated positively (r=0.902, p<0.001).
Conclusion:
China made significant advances in reducing U5MR from 1996 to 2020. The rural-urban gap in U5MR has narrowed, though rural areas remain a key concern. To further reduce U5MR, China should focus on rural areas, pay more attention to congenital heart disease and accidental asphyxia, further improve its health policies, and continue to increase the government health expenditure.
More Related Videos
03:35Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
Published on: December 1, 2023
08:17Murine Experimental Model of Original Tumor Development and Peritoneal Metastasis via Orthotopic Inoculation with Ovarian Carcinoma Cells
Published on: December 9, 2016
Related Concept Videos
Applications of Life Tables
Statistical Methods for Analyzing Epidemiological Data
Cancer Survival Analysis
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Correlation and Regression
Life Tables