Development of the Predictive Equation to Estimate Body Weight among Older Adults in Klang Valley

Abstract

Body weight may be estimated using equations developed from the anthropometric measurements when body weight is difficult to measure for example among bedridden older adults. This study has developed the equation to estimate body weight among older adults resided in Klang Valley from several anthropometric measurements. A cross sectional study was carried out among community dwelling older adults aged 60 years old and above in Klang Valley area. Subjects were recruited through convenience sampling method. Weight, height, knee height (KH), demi span (DS), subscapular skinfold (SSF), calf circumference (CC), waist circumference (WC), hip circumference (HC), mid upper arm circumference (MUAC) and wrist circumference (WrC) were measured according to the standard protocol. Cross validation was performed. 61% from total subjects were selected randomly for the development of equation meanwhile, 39% subjects as control subjects. Equation was generated using stepwise multiple regression analysis. A total of 164 older adults involved in this study which consist of 39.0 % men and 61.0 % women. Mean age of the subjects was 68.32 ± 5.79 years meanwhile mean of measured body weight was 66.46 ± 11.98 kg. Predictive equation obtained was: estimated body weight = 5.149 (Sex) – 0.082 (Age) + 0.889 (Hip circumference) + 1.112 (Knee Height) – 72.778 (R2 = 0.848, p < 0.001). Correlation coefficient for 61% subjects were higher (r = 0.921) compared to the correlation coefficient for 39% subjects (r = 0.883) (p < 0.001). However, the differences between measured and estimated body weight was not significant (p = 0.798). This showed that the equation developed was able to estimate body weight among older adults, because the value of estimated body weight was close to the value of measured body weight. The equation developed can be used to estimate body weight among Malaysian older adults. However, further study is warranted to explore this equation into the different settings such as clinical setting.

DOI : http://dx.doi.org./10.17576/JSKM-2018-38