The end result old and you may intercourse on Bmi -BF% relationships
Linearity/curvilinearity of your own Bmi -BF% relationships
Visual inspection of the scatter plot (Figure 1 ) also showed the positive relationships between the BF % and BMI. It revealed that the relationship appears to be linear in nature and curvilinearity developing towards the high BMI values. Polynomial regression which was carried out to test for linearity in both males and females showed a significant quadratic component. The BMI linear component accounted for 67.5% of the female variance and 57.6% of the male variance. Adding the quadratic component accounted for an additional 2.9% of the female variance (p < 0.000) and 2.2% of the male variance (p < 0.01). The female model (R 2= 0.70,SEE 3.4%) provided more accurate fit than the male model (R 2= 0.58, SEE 4.1%). This confirmed that the relationship between BMI-BF% measured by bioelectrical impedance for this Sri Lankan group of adults was curvilinear.
Scatter plot of the relationship between Body Mass Index (BMI) and percentage of body fat (BF%) of Sri Lankan men (+) and women (o). Relationship between the percentage of body fat (BF %) and body mass index (BMI) of Sri Lankan (+) males and (o) females. The linear regression models: (BF% male = (BMI ? 1.114) + (age ? 0.139) – 9.662 and BF% female = (BMI ? 0.918) + (age ? 0.153) +3.819.Polynomial regression for non linearity: females (R 2= 0.70, SEE 3.4%, p < 0.000) males (R 2= 0.58, SEE 4.1%, p < 0.05).
Independent relationships of age to your Body mass index and you can BF%
BMI noted to increase with age in young; relatively constant in middle age and decline in elderly in both males and females (Figure 2 ). This curvilinear effect was more significant in females (R 2= 0.27, R 2 change = 0.058, SEE 11.5%) (p = <0.000) compared to males (R 2= 0.61, R 2 change = 0.009 ,SEE 13.7%) (p = <0.05). Females had a significantly higher mean BMI values than males in all three age group categories except in young (age 18–39 years) (p < 0.05) (Table 1 ).
In both males and females BF% showed an increase with age (Figure 3 established men ) with a positive linear correlation (males r =0.47, females r =0.64; p < 0.000). Females of all ages had significantly higher total body fat than males (p < 0.001) (Table 1 ). The mean difference in BF% between females and males was .This difference was shown to increase with age (young 8.5, middle-age 10.2 and elderly 12.3) (Table 1 ).
Discussion
Our studies mainly attempted to answer dos questions, which were; (1) what is the matchmaking anywhere between Body mass index and you will BF %( mentioned because of the BIA)? And you can (2) what’s the effectation of decades and you can gender in this relationship?, in the a sandwich-populace out-of Southern Asian people. This is to choose the predictive value of Bmi as the an effective measure of BF% from inside the adults, and to inform you one requirement for many years and you may sex in this anticipate, that isn’t sensed because of the Just who currently when commenting being obese. Really scientists have used to resolve these types of issues in various populations and cultural organizations [3-7]. Certain have analyzed this new predictive effectation of racial difference between it (BMI- BF %) relationships [5,22]. I analysed analysis from several native Sri Lankan grownups who are categorized just like the Southern Asians (that exactly like Far eastern Indians), who’ve a different human body constitution versus Caucasians, Blacks and also Western Mongolians [22-24]. Develop one solutions to the above mentioned issues provided by that it additional cultural classification, create further incorporate stamina to the present pond out of facts out-of the relationship between Bmi and you will BF%.