Self-Reported Body Weight and Height: An Assessment Tool for Identifying Children with Overweight/Obesity Status and Cardiometabolic Risk Factors Clustering

Body mass index (BMI) is commonly used for assessing body fat. Self-reported body weight and height derived BMI (SRDBMI) is
a simple, low cost and non-invasive assessment tool and it may be a useful self-reported assessment tool to monitor the prevalence
of overweight/obesity in community settings and for epidemiological research. We assessed the agreement of BW and BH between
assessor measured and child self-reported values and evaluated the diagnostic ability of SRDBMI to identify children with
overweight/obesity status and cardiometabolic risk factors (CMRFs) clustering. A cross-sectional study was conducted in school
settings using a cluster sampling method. A total of 1,614 children aged 6–18 years were included in the analysis. Children
were given a questionnaire to complete at home prior to the anthropometric measurements and blood taking at the schools. There
was almost perfect agreement on BW, BH and BMI between self-reported and measured values [intraclass correlation coefficients
ranged from 0.93 (95% CI: 0.93–0.94) to 0.99 (95% CI: 0.98–0.99)]. About half of the children reported their BW and BH absolute
values within 1 kg and 2 cm of measured values, respectively. The SRDBMI demonstrated good diagnostic ability for identifying
children with overweight/obesity status (sensitivity, specificity, positive and negative predictive values ranged from 0.83
to 0.98) and CMRFs clustering (AUC-ROCs values of BMI between measured and self-reported values were close ranging from 0.85
to 0.89). Self-reported BW and BH demonstrated almost perfect agreement with measured values and could substantially identify
children with overweight/obesity status and CMRFs clustering.