Linearity/curvilinearity of your own Body mass index -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 dating old into Body mass index and you will 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 ) 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 ).
Talk
Our very own studies generally made an effort to address dos issues, that have been; (1) what is the matchmaking ranging from Bmi and you can BF %( mentioned from the BIA)? And (2) what is the effect of decades and you can intercourse inside dating?, into the a sandwich-populace out of Southern area Asian grownups. It was to determine the predictive property value Bmi due to the fact an excellent way of measuring BF% during the people, and let you know one significance of age and you can sex inside anticipate, that is not experienced from the Which right now when posting comments being obese. Extremely scientists have tried to resolve such issues in almost any communities and you may ethnic teams [3-7]. Some also have studied the new predictive effectation of racial difference in which (BMI- BF %) matchmaking [5,22]. We analysed studies from a small grouping of indigenous Sri Lankan people that are classified since the South Asians (that happen to be like Asian Indians), who have a different sort of muscles constitution versus Caucasians, Blacks as well as Western Mongolians [22-24]. Hopefully you to definitely solutions to the above mentioned inquiries provided by which various other ethnic category, manage then put electricity to the current pond of facts out-of the connection ranging from Bmi and you may BF%.