RESUMEN
BACKGROUND: Self-reported height, weight and body mass index (BMI) data are widely used to monitor trends in malnutrition. However, several studies expressed concerns about its reliability-citing trends of over-reporting and underreporting anthropometric data. This study aims to: (1) identify the validity of self-reported height and weight and BMI as compared with measured values and (2) examine the potential recurrence of malnutrition in an urban-based population. METHODS: Paired t-tests and Pearson's correlation coefficients were conducted to identify potential discrepancies between self-reported and measured anthropometric data. These values were collected among 255 male and 400 female participants in the Davao City. RESULTS: Height overestimation in females and underestimation in males were observed to be statistically significant (P < 0.05). Researchers also note an alarming rise in malnutrition cases when the Asia-Pacific Index was applied to the BMI study data. A 40.79 and 22% increase in obese cases among male and female respondents were recorded. CONCLUSION: Modifying participant-gathered height and weight values is likely to result in discrepancies between self-reported and measured values. Identifying a person's height and weight status is crucial to understanding who among the population experience malnutrition. Thus, policymakers are called to strengthen educational support that trains respondents to report reliable and valid health data.