The result old and intercourse from the Body mass index -BF% relationship

The result old and intercourse from the Body mass index -BF% relationship

Linearity/curvilinearity datingranking.net/pl/green-singles-recenzja of one’s 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 old into Bmi 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

Our study mostly made an effort to answer 2 inquiries, that have been; (1) what’s the dating between Body mass index and you can BF %( counted from the BIA)? And you will (2) what’s the effect of years and you can sex in this relationships?, from inside the a sandwich-inhabitants away from South Far-eastern grownups. It was to select the predictive property value Bmi just like the good measure of BF% in the people, in order to tell you one importance of decades and gender contained in this prediction, which is not experienced of the Whom at the moment whenever placing comments carrying excess fat. Most boffins purchased to resolve these issues in numerous populations and ethnic groups [3-7]. Specific also have learned brand new predictive effectation of racial difference in that it (BMI- BF %) dating [5,22]. We analysed study out-of a team of indigenous Sri Lankan people that happen to be classified due to the fact Southern Asians (who are similar to Far eastern Indians), that have yet another muscles constitution versus Caucasians, Blacks as well as Asian Mongolians [22-24]. We hope one methods to these issues provided with that it additional ethnic category, perform further incorporate strength to the present pool out-of research off the partnership between Body mass index and BF%.

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