Linearity/curvilinearity of the Bmi -BF% matchmaking
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).
Separate relationships of age into the Body mass index and 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
All of our research mostly made an effort to address dos concerns, which were; (1) what’s the relationship ranging from Body mass index and you can BF %( counted from the BIA)? And you can (2) what is the aftereffect of many years https://datingranking.net/pl/ilove-recenzja/ and intercourse within this relationships?, into the a sub-inhabitants of Southern Far eastern people. This was to search for the predictive property value Body mass index because an effective measure of BF% into the adults, and show people importance of ages and you may gender in this prediction, which is not thought of the Who at this time whenever commenting obesity. Really boffins have tried to answer this type of inquiries in numerous communities and you can ethnic groups [3-7]. Particular have learned brand new predictive aftereffect of racial difference in which (BMI- BF %) matchmaking [5,22]. We analysed analysis out-of a group of native Sri Lankan grownups who happen to be categorized due to the fact Southern area Asians (that just like Far-eastern Indians), that a different human body constitution as compared to Caucasians, Blacks and even Western Mongolians [22-24]. We hope you to definitely remedies for the aforementioned concerns provided with which more ethnic classification, create after that put fuel to the current pool away from facts off the connection anywhere between Bmi and you can BF%.