Undernutrition is the result of complex interplay of factors such as household food security, childcare, feeding practices, nutrition and sanitation. Therefore, this study aimed to determine the prevalence of stunting, wasting, underweight based on WHO child growth standards 2006 and undernutrition based on Composite Index Anthropometric Failure (CIAF) and its association with the biological, behavioural, socio-economic and physical environment factors among children under-5 years. This was a cross sectional study involving children aged between 6 and 59 months recruited through stratified random sampling from the Tenom district. Sociodemographic background was obtained from mothers via a questionnaire. Height and weight measurements were measured using standardised instrument. The height-for-age, weight-for-age and BMI-for-age were classified according to the WHO Child Growth Standard 2006. Bivariate analysis and multivariate logistic regression analysis were conducted. The prevalence of undernutrition based on CIAF was 42.3%, underweight 34.7%, stunting 33.3% and wasting 10.0%. After adjusting for all confounders, childhood undernutrition was significantly associated with unimproved sanitation (adjusted OR 2.98, 95% CI: 1.082 to 8.225) and frequent illness (adjusted OR 2.07, 95% CI: 1.015 to 3.274). These findings support the association of biological and physical environmental factors with the nutritional status of children under-5 years old.

Introduction: Dengue fever is caused by the dengue virus that is transmitted via Aedes mosquitoes. The lifecycle of Aedes mosquitoes is affected by the local climate (rainfall) which influences dengue transmission. Sabah is one of the states that is laden with a high incidence rate of dengue in Malaysia and the condition seems to have worsened with sudden, multiple outbreaks occurring in the year 2016. Methods: An ecological analysis was conducted in Keningau, Sabah to analyse dengue case patterns and distribution over a 5-year period and to exhibit the correlation between rainfall, larval indices, dengue incidences, and outbreaks. Results: Significant cross-correlation analysis (CCF) was discovered between rainfall and Aedes index at lag number 5 with a correlation coefficient of 0.151 (±0.063) as well as between rainfall and Breteau Index at lag number 5 with a correlation coefficient of 0.143 (±0.063). However, no significant cross-correlation analysis was found between Aedes index and dengue incidences. Associations were also seen between larval indices and outbreak cases. Conclusion: This study showed an increase of Aedes and Breteau Indices to susceptibility level five weeks after rainfall which increases the risk of dengue transmission.