PD101 - EXTERNAL VALIDATION OF LOCAL ANTHROPOMETRIC EQUATIONS FOR HEIGHT ESTIMATION IN ADULTS AT A TERTIARY CARE HOSPITAL CLINIC IN SRI LANKA

PD101

EXTERNAL VALIDATION OF LOCAL ANTHROPOMETRIC EQUATIONS FOR HEIGHT ESTIMATION IN ADULTS AT A TERTIARY CARE HOSPITAL CLINIC IN SRI LANKA

I. WEERAKKODY^1,*, J. T. Jayaweera², S. Kurukulaarachchi³, P. K. B. Mahesh⁴

¹Medical Nutrition Unit, Post Graduate Institute of Medicine, University of Colombo, Colombo, ²Medical Nutrition Unit, Colombo South Teaching Hospital Kalubowila, Kalubowila, ³Medical Nutrition Unit, National Hospital of Sri Lanka Colombo, ⁴Regional Director of Health Service , Colombo, Sri Lanka

Rationale: Height measurement is a key component of clinical examination. Many equations to predict height have been developed locally, but none have been validated  in clinical set up. Current study aims to compare such equations and validate a one for Sri Lankan population.

Methods: A cross-sectional hospital-based validation study was conducted in General Medical Clinics at the National Hospital of Sri Lanka. Ambulatory patients aged 20 to 65 years were recruited using systematic sampling. A total of 412 patients were enrolled. The ulnar length, knee height, arm span and the standing height were recorded using standard methods. Height was estimated using 3 Locally derived  and 4 publised international prediction equations.The calculated and actual height differences were analysed using linear regression. Mean predictive error (MPE), root mean square error (RMSE), correlation analysis r, and p values were calculated. A p-value <0.05 was considered statistically significant.

Results: The mean age among the population was 53.18±8.09 years. Varun et al (Arm span for height estimation) (MPE=0.07±6.36, RMSE=3.14±5.53, r=0.77, and p=0.816) showed the lowest error, followed by Jayaweera et al (ulna length for height estimation)  (MPE=0.28±5.74, RMSE=4.30±3.82, r=0.80, and p=0.327). Madden et al.(MPE=-11.73±5.69, RMSE=12.07±4.91, r=0.80, and p<0.001) demonstrated the weakest prediction. 

Conclusion: Among local height equations, Varun et al. 2012 and Tennakoon Jayaweera et al. 2021 equations demonstrate lower prediction error compared to international formulae. Locally validated equations can be used to predict height in clinical setting.

References: Ilayperuma et al., 2009; Jayaweera et al., 2021; Varun et al., 2012; Bonell et al., 2017; Kumar et al., 2022; Madden et al., 2012; Chumlea et al., 1998. 

Disclosure of Interest: None declared