[Percentile curves on growth among breastfed 1-4 year olds in 8 urban areas]

W W Feng1, X N Huang2, H S Wang1

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

Insights

Growth percentile curves for urban, breastfed children aged 1-4 years were developed. These curves for weight, height, head circumference, and BMI provide a vital reference for monitoring child development.

Area of Science:

  • Pediatrics
  • Growth Monitoring
  • Child Health

Background:

  • Establishing accurate growth percentile curves is crucial for assessing child development.
  • Previous studies may not adequately represent urban, breastfed populations.
  • Longitudinal data is essential for robust growth assessments.

Purpose of the Study:

  • To construct growth percentile curves for weight, length/height, head circumference, and BMI.
  • To cover breastfed children aged 1 to 4 years in urban settings.
  • To provide a reference for monitoring healthy child development.

Main Methods:

  • Utilized longitudinal data from 1,025 breastfed children (1-4 years) in 8 urban areas (2008-2012).
  • Employed multi-level modeling (MLwiN2.25) for weight-for-age, length-for-age, head circumference-for-age, and BMI-for-age.
  • Incorporated growth-relevant factors: gender, age, demographics, perinatal, parental, dietary, and health data.

Main Results:

  • Developed percentile reference curves (P3, P15, P50, P85, P97) for key growth indicators.
  • Statistically significant differences (P<0.001) observed between boys and girls for all indicators.
  • Boys exhibited higher weight, length/height, head circumference, and BMI compared to girls.

Conclusions:

  • The constructed percentile curves accurately reflect the growth of urban, breastfed children.
  • These curves serve as an important tool for assessing child development in this demographic.
  • The study highlights gender-based growth differences in early childhood.

Related Concept Videos

Percentile01:18

Percentile

A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. It represents the percentages of data values that are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15th percentile.
9.4K
Bacterial Growth Curve01:28

Bacterial Growth Curve

The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
3.8K
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
790
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...
19.8K
Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
29.2K
Quartile01:15

Quartile

Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first, find the median or second quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set:
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
9.9K