![]() Further studies should be conducted to improve on the formula. This formula is a potential handy public health tool for measuring body mass in disadvantaged communities using an ordinary tailoring tape. The formula for calculating body mass index from waist and hip circumferences was given as: BMI = (WC x 0.209)-(HC x 0.132) + 22.009. Multiple linear regression showed that both waist circumference and hip circumference were significant predictors of body mass index and correlated in 43.5% of cases. The participants' mean body mass index was 26.99±4.89kg/m 2, waist circumference 79.13☒6.72m, and hip circumference 87.24☒8.57cm. The data was collected using a stadiometer, weighing scale, calculator, and BMI machine, and analyzed with SPSS using multiple linear regression. The sampling technique was census sampling. It used a secondary dataset consisting of 3013 participants of a survey of bank workers across the 36 states of Nigeria and Abuja. Such instruments may not be available to health professionals in certain areas of the world and so this research asks the question: "Can an ordinary sewing tape measure be used to measure body mass index?" The aim of this study was to develop a regression equation for calculating body mass index from waist circumference and hip circumference. Measuring body mass index involves the use of stadiometer, weighing scale, and calculator, or expensive BMI machine. Body mass index is the most widely used measure of obesity worldwide. The prevalence of obesity, a risk factor for non-communicable diseases, is on the increase globally. These observations suggest that short and tall subjects with equivalent BMIs have similar but not identical body composition, provide new insights into earlier BMI-related observations and thus establish a foundation for height-normalized indexes, and create an analytic framework for future studies. Brain mass scaled to height with a power of 0.83 (P=0.04) in men and nonsignificantly in women the fraction of weight as brain was inversely related to height in women (P=0.002). AT scaled weakly to height with powers of approximately 2, and adiposity was independent of height. Weight, primary lean components (SM, residual mass, AT-free mass, and fat-free mass), and liver scaled to height with powers of approximately 2 (all P& amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp lt 0.001) bone and bone mineral mass scaled to height with powers & amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp gt 2 (2.31-2.48), and the fraction of weight as bone mineral mass was significantly (P& amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp amp lt 0.001) correlated with height in women. This was a cross-sectional analysis of 2 body-composition databases: one including magnetic resonance imaging and dual-energy X-ray absorptiometry (DXA) estimates of evaluated components in adults (total n=411 organs=76) and the other a larger DXA database (n=1346) that included related estimates of fat, fat-free mass, and bone mineral mass. We examined the critical underlying assumptions of adiposity-body mass index (BMI) relations and extended these analyses to major anatomical compartments: skeletal muscle (SM), bone, residual mass, weight (AT+SM+bone), AT-free mass, and organs (liver, brain). Although Quetelet first reported in 1835 that adult weight scales to the square of stature, limited or no information is available on how anatomical body compartments, including adipose tissue (AT), scale to height. ![]()
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