Background: Malnutrition is a condition of imbalances in the intake of nutrients and fluids which may translate to poor health outcomes. Based on the Expanded National Nutrition Survey in 2018, eight percent of Filipino adults were found to have chronic energy deficiency (undernutrition), and is most prevalent among the elderly population, residents of the rural area and poorest quintile. Currently, there are no available local guidelines for malnutrition in Filipino adults. Objective: The general objective of this pathway is to improve the quality of health care of the Filipino family through proper recognition and management of malnutrition. Method The PAFP Nutrition Pathway Working Group reviewed published medical literature to identify, and summarize, the clinical content of clinical indicators, diagnostics, interventions, and outcomes to develop an evidence-based clinical pathway in family practice. The group developed a time-related representation of recommendations on patient-centered processes in terms of history and physical examination, laboratory tests, pharmacologic and non-pharmacologic interventions, as well as family-focused interventions and community strategies to properly recognize and treat adults with malnutrition.

INTRODUCTION: Dengue continues to be a major health concern in the Philippines. This study aimed to establish trends and correlations between the incidence of dengue and rainfall, humidity and temperature, respectively, in the different regions. METHODS: Using 2018 records obtained from DOH and PAGASA, correlations were made between monthly measurements of climatic factors and the incidence of dengue using Pearson’s r, while maps and interpolations were generated using quantum geographical information system software. RESULTS: There was a significant positive but weak correlation between the incidence of dengue and rainfall (r = 0.379, 95% CI 0.255, 0.491; p < 0.001) and humidity (r = 0.215, 95% CI 0.080, 0.342; p = 0.002). There was a significant negative but weak correlation between the incidence of dengue and temperature (r = -0.145, 95% CI -0.277, -0.008; p = 0.039). A strong positive correlation was noted between the incidence of dengue, and rainfall and humidity, respectively, in several regions. Multiple regression indicates that rainfall, humidity and temperature are poor predictors of the incidence of dengue (R2 = 0.1436, 0.0461 and 0.0209, respectively). CONCLUSION This study showed overall a significant but weak correlation between an increased incidence of dengue and heavy rainfalls and high relative humidity, and a weak negative correlation for temperature. A high positive correlation of an increased incidence of dengue and heavy rainfalls and high relative humidity was observed in several regions.
Dengue ; humidity ; temperature