### The result old and you may intercourse regarding Bmi -BF% relationships

## Linearity/curvilinearity of one’s Bmi -BF% dating

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 matchmaking of age to the Bmi 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 https://datingranking.net/pl/guardian-soulmates-recenzja/ 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 ).

## Discussion

Our analysis primarily attempted to answer dos questions, that have been; (1) what is the relationships ranging from Bmi and you may BF %( mentioned from the BIA)? And (2) what is the aftereffect of age and you can sex contained in this dating?, within the a sub-population off South Asian people. This is to determine the predictive property value Bmi just like the a measure of BF% for the adults, and also to inform you any dependence on ages and you can sex within forecast, that is not considered of the Whom currently whenever posting comments being obese. Really experts have tried to respond to this type of inquiries in almost any populations and you may ethnic organizations [3-7]. Certain have likewise studied the predictive effectation of racial difference in so it (BMI- BF %) relationships [5,22]. We analysed study away from a group of indigenous Sri Lankan grownups that categorized because Southern area Asians (who’re just like Far-eastern Indians), that have a special human anatomy structure as compared to Caucasians, Blacks as well as Asian Mongolians [22-24]. Hopefully one ways to the above inquiries provided by it additional ethnic category, perform further put electricity to the current pool out of evidence out of the relationship between Bmi and you may BF%.