Linearity/curvilinearity of 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 relationship old into Bmi 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 ).

Dialogue

All of our research generally made an effort to respond to 2 inquiries, that happen to be; (1) what is the relationships anywhere between Body mass index and you can BF %( mentioned by the BIA)? And (2) what is the effect of years and you can sex within dating?, inside the a sandwich-people regarding Southern area Asian people. This is to determine the predictive value of Bmi since a measure of BF% in the grownups, also to inform you any significance of many years and you will sex in this anticipate, that’s not thought from the Which currently when leaving comments being obese. Most researchers purchased to answer such inquiries in various populations and you may cultural teams [3-7]. Certain also have examined the latest predictive effect of racial difference in so it (BMI- BF %) relationships [5,22]. We analysed study regarding a team of native Sri Lankan adults who happen to be classified given that Southern Asians (that like Far eastern Indians), that have another type of human body structure versus Caucasians, Blacks as well as Asian Mongolians [22-24]. Hopefully that methods to the above mentioned issues provided with that it some other ethnic category, perform next put strength to the present pool out of research out of the relationship anywhere between Body mass index and you may BF%.