The end result old and you can gender on the Body mass index -BF% relationships

Linearity/curvilinearity of the Body mass index -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).

Separate relationships of age towards the Body mass index and you will BF%

BMI noted ferzu 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 ).

Discussion

The analysis mostly attempted to respond to dos issues, which have been; (1) what is the dating ranging from Bmi and you may BF %( measured by the BIA)? And you may (2) what’s the effect of age and you may sex within this dating?, within the a sub-society from South Western grownups. This is to find the predictive value of Bmi since the an excellent way of measuring BF% inside the people, also to let you know any need for ages and gender within this forecast, which is not considered because of the Which today whenever commenting being obese. Extremely researchers used to resolve such issues in numerous populations and you will ethnic communities [3-7]. Particular have also learned new predictive aftereffect of racial difference between it (BMI- BF %) relationship [5,22]. We analysed investigation away from a group of local Sri Lankan grownups who are classified given that South Asians (who happen to be like Asian Indians), who have a new human anatomy constitution versus Caucasians, Blacks and even Asian Mongolians [22-24]. Develop one methods to the above mentioned concerns provided with this more ethnic category, carry out subsequent include strength to the current pool from proof out-of the relationship anywhere between Bmi and BF%.