title: Self-reported body weight and height: an assessment tool for identifying children with overweight/obesity status and cardiometabolic risk factors clustering.
abstract: 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.
authors.affiliation: Rm 322, 3rd floor, William M.W. Mong Block, The School of Nursing, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong. noelptchan@alumni.cuhk.net
authors.forename: Noel P T
authors.initials: NP
authors.lastname: Chan
authors.forename: Kai C
authors.initials: KC
authors.lastname: Choi
authors.forename: E Anthony S
authors.initials: EA
authors.lastname: Nelson
authors.forename: Rita Y T
authors.initials: RY
authors.lastname: Sung
authors.forename: Juliana C N
authors.initials: JC
authors.lastname: Chan
authors.forename: Alice P S
authors.initials: AP
authors.lastname: Kong
mesh_terms: D001827:Body Height; D015992:Body Mass Index; D001835:Body Weight; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000453:epidemiology*; D002648:Child; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D006723:Hong Kong / Q000453:epidemiology; D006801:Humans; D008297:Male; D008403:Mass Screening; D008659:Metabolic Diseases / Q000175:diagnosis / Q000453:epidemiology*; D050177:Overweight / Q000175:diagnosis / Q000453:epidemiology*; D011237:Predictive Value of Tests; D015995:Prevalence; D015203:Reproducibility of Results; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D057566:Self Report