Seasonal aspects of weight-for-age in young children in Zimbabwe

J Wright1, P Vazé, G Russell

  • 1Institute of Ecology and Resource Management, University of Edinburgh, Agriculture Building, West Mains Road, King's Buildings, Edinburgh EH9 3JG, UK. James.Wright@ed.ac.uk

Insights

Child underweight in Zimbabwe shows a slight seasonal increase from January to March, coinciding with food scarcity. This seasonal pattern is not widespread across all districts, and its impact on prevalence studies appears minimal.

Area of Science:

  • Pediatrics
  • Public Health
  • Nutrition Science

Background:

  • Child underweight remains a significant public health concern in many developing nations.
  • Understanding seasonal variations in child nutrition is crucial for targeted interventions.

Purpose of the Study:

  • To determine the season with the highest prevalence of underweight in young Zimbabwean children.
  • To investigate geographical differences in the seasonality of underweight.

Main Methods:

  • Analysis of monthly clinic-based growth monitoring data (1988-1995) from Zimbabwe.
  • Utilized regression techniques to identify seasonal patterns in underweight prevalence and clinic attendance.
  • Data included weight-for-age measurements of children under 5 years old.

Main Results:

  • A small but significant national increase in underweight prevalence was observed from January to March.
  • Seasonal variation in growth monitoring attendance may influence observed prevalence.
  • Most districts did not show significant seasonal variation, though 11 mirrored the national pattern.
  • The underweight peak coincided with pre-harvest food scarcity, higher malaria, and diarrhea prevalence.

Conclusions:

  • Seasonal fluctuations in child underweight exist in parts of Zimbabwe but likely have a minor impact on cross-sectional prevalence data.
  • No clear distinctions were found between areas with and without evident seasonality in underweight levels.
Abstract

Related Concept Videos

Nature and Nurture01:10

Nature and Nurture

Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience, such as differences...
Introduction to z Scores01:06

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It 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 zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores help...
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 zero.
Introduction to z Scores01:05

Introduction to z Scores

A z score (or standardized value) is measured in units of the standard deviation. It indicates 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 zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores help...
Oxygen Requirements and Growth Patterns01:29

Oxygen Requirements and Growth Patterns

Microorganisms exhibit diverse oxygen requirements and growth patterns driven by their metabolic strategies and environmental adaptations. Oxygen, while essential for many organisms, can also be toxic under certain conditions, shaping how microorganisms grow and survive.Oxygen Requirements of MicroorganismsMicroorganisms are classified based on their ability to use or tolerate oxygen:● Obligate aerobes like Mycobacterium tuberculosis need oxygen for energy production, as it serves as the...
Rate of Change: Problem Solving01:26

Rate of Change: Problem Solving

Temperature-Dependent Growth of Brook TroutThe growth of brook trout is closely influenced by water temperature. Experimental data demonstrate how trout weight changes over a 24-day period in response to varying water temperatures. At lower temperatures, such as 15.5 degrees Celsius, brook trout show significant weight gain. However, as the temperature increases, the amount of weight gained steadily decreases. At the highest temperature measured, 24.4 degrees Celsius, trout experience a net...