RESUMO
Stunting, wasting, and being underweight are indicators of malnutrition in a country. The high status reflects the poor nutritional and health status of children under five. We analyzed data from the Demographic and Health Survey conducted in Timor Leste from 2009 to 2016 to identify the prevalence and predictor stunting, wasting, and underweight. The variables analyzed were the mother's education, mother's age, mother BMI, mother's height, number of ANC visits, birth weight, sex of a child, sex of head household, type of residence, wealth index, toilet facility, source of drinking water and province. The sample in this study was 3,723 toddlers. Prevalence of stunting (44.4%), underweight (37.5%) and wasting (25.3%). In the bivariate analysis, the variables statistically significantly associated with stunting, underweight, and wasting was mother's education, sex of a child, type of residence, wealth index, and province. Improving the nutritional status of children in Timor Leste requires various nutrition and health interventions.
RESUMO
Trend tests for monotone trend or umbrella trend (monotone upward changing to monotone downward or vise versa) in count data are proposed when the data exhibit extra-Poisson variability. The proposed tests, which are called the GS1 test and the GS2 test, are constructed by applying an orthonormal score vector to a generalized score test under an rth-order log-linear model. These tests are compared by simulation with the Cochran-Armitage test and the quasi-likelihood test of Piegorsch and Bailer (1997, Statistics for Environmental Biology and Toxicology). It is shown that the Cochran-Armitage test should not be used under the existence of extra-Poisson variability; that, for detecting monotone trend, the GS1 test is superior to the others; and that the GS2 test has high power to detect an umbrella response.
