Related Experiment Video
Updated: May 27, 2026

Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
Child size and household characteristics in rural Timor-Leste
Nadine Reghupathy1, Debra S Judge, Katherine A Sanders
1School of Anatomy and Human Biology, The University of Western Australia, Crawley, Western Australia 6009, Australia.
Objectives:
The main objective was to determine those characteristics of the family and household that affects child health (as measured by child size for age) in the rural Ossu area of Timor-Leste.
Methods:
Interviews of parents in 102 households assessed reproductive histories, the amount and type of resources available and family composition (number, sex, and age of members). Height, weight, and mid-upper arm circumference were measured for all children in the household. To standardize for age and sex, raw measures were transformed into WHO Z scores and compared across households.
Results:
Children were low in both height and weight relative to international standards and older children compared with international standards more poorly than under-fives. There was no evidence of sex difference in relative growth. The number of children in a household was negatively associated with height but not weight and positively with BMI. Children living in the villages more distant from Ossu town center had significantly lower Z scores for height than children in town. No crop or livestock indices were related to growth. Fostered children did not show growth different from biological children, but biological children in households with fostered children were slightly larger for age.
Conclusions:
Short stature inflates BMI and harvest season measures may have captured short-term increases in children's energy balance. Social networks may increase child well-being by moving children toward resource richer households. Social and cultural factors influence resource allocations among children and their health in rural Timor-Leste.
Related Concept Videos
Population Growth
Development of Human Microbiota
Distributions to Estimate Population Parameter
Cross-Sectional Research
Applications of Life Tables
Life Tables
