Linearity/curvilinearity 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 matchmaking 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 ).

Conversation

The data generally attempted to address 2 issues, which were; (1) what is the relationships anywhere between Bmi and BF %( measured of the BIA)? And you may (2) what is the effect of age and you will gender within this matchmaking?, in the a sub-society away from Southern area Far eastern adults. This was to determine the predictive property value Body mass index once the an kod rabatowy good grief excellent way of measuring BF% inside grownups, also to show one importance of many years and you may intercourse inside anticipate, that is not experienced from the Which today when leaving comments being obese. Very boffins purchased to respond to these issues in various communities and you may cultural teams [3-7]. Some have learned the latest predictive effect of racial difference between it (BMI- BF %) relationship [5,22]. I analysed analysis off several native Sri Lankan grownups that categorized once the Southern Asians (who’re the same as Western Indians), who’ve a separate system composition than the Caucasians, Blacks plus Far eastern Mongolians [22-24]. We hope that approaches to the aforementioned questions available with this additional cultural classification, create next put stamina to the current pool away from proof from the connection anywhere between Bmi and you will BF%.