[Level and trend of low birth weight mortality in children under 1 year old in China, 2004-2018]

W J Shang1, X P Pan1, J L Ye1

  • 1Department of Information Management, National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China.

Insights

The low birth weight mortality rate in children under 1 year old in China decreased significantly from 2004 to 2018. However, the proportion of these deaths is rising, particularly affecting boys and those in central and western regions.

Area of Science:

  • Pediatrics
  • Public Health
  • Epidemiology

Background:

  • Low birth weight (LBW) is a critical determinant of infant mortality.
  • Understanding temporal trends and demographic disparities in LBW mortality is essential for targeted interventions.

Purpose of the Study:

  • To analyze the trends in low birth weight (LBW) mortality rates among children under one year old in China between 2004 and 2018.
  • To examine disparities in LBW mortality across sex, urban/rural settings, and geographical regions.

Main Methods:

  • Utilized the National Mortality Surveillance Data Set (2004-2018).
  • Employed Joinpoint regression analysis to assess mortality rates, constituent ratios, and trends.
  • Calculated Average Annual Percentage Change (AAPC) and 95% confidence intervals (CI) for trend analysis.

Main Results:

  • The overall LBW mortality rate in children under one year declined with an AAPC of -8.0% (95% CI: -10.6% to -5.4%).
  • The constituent ratio of LBW mortality showed an increasing trend (AAPC = 1.6%, 95% CI: 0.1% to 3.2%).
  • Disparities in mortality rates between sexes, urban/rural areas, and regions diminished over time, though boys and urban populations initially had higher rates. The western region showed a faster increase in the constituent ratio of LBW mortality.

Conclusions:

  • Despite a decreasing trend in the overall LBW mortality rate, its proportional contribution to infant deaths is increasing.
  • Boys and children in central and western China represent key populations requiring focused maternal and child health interventions.
  • Addressing regional and sex-based disparities remains crucial for comprehensive LBW mortality reduction strategies.

Related Concept Videos

Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
348
Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
189
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.6K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
16.8K
Pharmacokinetics in Pediatric Patients: Drug Distribution01:17

Pharmacokinetics in Pediatric Patients: Drug Distribution

Drug distribution in the pediatric population exhibits unique challenges and considerations due to the physiological differences between children, particularly neonates and infants, and adults. A crucial aspect of pediatric pharmacology is understanding how these differences impact the pharmacokinetics of various drugs, necessitating age-specific dosing strategies to ensure efficacy and safety.Neonates and infants have a higher total body water content, ~75%–90% of their body weight,...
137