Underweight and overweight among under-5 children continue to persist in the island Province of Marinduque, Philippines. Local spatial cluster detection provides a spatial perspective in understanding this phenomenon, specifically in which areas the double burden of malnutrition occurs. Using data from a province-wide census conducted in 2014-2016, we aimed to identify spatial clusters of different forms of malnutrition in the province and determine its relative risk. Weight-for-age z score was used to categorize the malnourished children into severely underweight, moderately underweight, and overweight. We used the multinomial model of Kulldorff’s elliptical spatial scan statistic, adjusting for age and socioeconomic status. Four significant clusters across municipalities of Boac, Buenavista, Gasan, and Torrijos were found to have high risk of overweight and underweight simultaneously, indicating existence of double burden of malnutrition within these communities. These clusters should be targeted with tailored plans to respond to malnutrition, at the same time maximizing the resources and benefits.

Objectives. The study aims to determine whether there is an association of perceived weight status with unhealthydiet practices. Method. An analytic cross-sectional study was conducted among 625 adult undergraduate students from U.P.Manila. The survey included questions regarding sociodemographic status, habits related to diet and weightmanagement, and perceived body mass index (BMI). Actual BMI were obtained and calculated from actualanthropomorphic measurements. Results. In the population surveyed, it was seen that 53.28% of the students accurately perceived their BMIstatus, 26.08% overestimated their BMI status, while 17.28% underestimated their BMI status. It was also seenthat over-estimating of BMI status is more associated with unhealthy diet practices. Those who over estimatedtheir BMI were 1.95 times more likely to skip meals (p=0.001) and 1.56 times more likely to engage in cuttingof food (p=0.034). Physical activity was also seen to be associated with these practices. Conclusion. Over-estimation of BMI may be linked to unrealistic goals in weight loss resulting in unhealthierdiet-related habits.