The outcome of age and you may sex about Body mass index -BF% relationship


The outcome of age and you may sex about Body mass index -BF% relationship

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 podÅ‚Ä…czenie fatflirt 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 on the 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 ).


Our very own studies primarily tried to address dos inquiries, that happen to be; (1) what is the relationship ranging from Bmi and you may BF %( counted by the BIA)? And (2) what is the aftereffect of age and you can intercourse within relationships?, inside a sub-society regarding Southern Far eastern adults. This is to determine the predictive property value Body mass index due to the fact a great way of measuring BF% inside the adults, and reveal one significance of decades and you may intercourse inside prediction, that is not noticed of the Which today when placing comments obesity. Very boffins purchased to respond to these types of concerns in numerous communities and you may ethnic organizations [3-7]. Specific have learnt the fresh predictive effectation of racial difference in that it (BMI- BF %) relationship [5,22]. We analysed analysis from a team of indigenous Sri Lankan adults that are classified while the South Asians (who are exactly like Western Indians), with a new system constitution versus Caucasians, Blacks as well as Far eastern Mongolians [22-24]. We hope one remedies for these questions available with that it more ethnic class, do subsequent put stamina to the current pool out-of evidence of the partnership between Bmi and you will BF%.

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