Separate dating old to your Bmi and you may BF%
Baseline class qualities
All in all, 1114 grownups had been examined in the studies; forty-two.1% was indeed men (Desk step 1). The analysis sample portrayed a variety of Bmi thinking (14.8 – 41.1 kilogram/yards 2 ). Ninety four % (94%) of your complete sample got Bmi beliefs 2 (Indicate 23.8 ± cuatro.dos kilogram/meters dos ).
Matchmaking between Bmi and BF%
There is certainly a powerful and you can high positive relationship ranging from Bmi- BF% from inside the men (r = 0.75,p Table dos Multiple regression data to own improvement in BF% having Body mass index, decades for men and you can females (Model 1)
Linearity/curvilinearity of one’s Body mass index -BF% relationships
Artwork check of your spread patch (Contour step one) plus shown the positive matchmaking between the BF % and you may Bmi. It indicated that the connection appears to be linear in nature and you can curvilinearity development towards highest Bmi philosophy. Polynomial regression that has been achieved to check to own linearity within the both males and females displayed a life threatening quadratic component. The fresh Body mass index linear role accounted for 67.5% of your female difference and you will 57.6% of one’s male variance. Incorporating the quadratic parts taken into account a supplementary dos.9% of your female difference (p dos = 0.70,See step 3.4%) considering alot more specific match compared to men model (Roentgen 2 = 0.58, Find cuatro.1%). That it affirmed your relationships between Body mass index-BF% measured by the bioelectrical impedance for it Sri Lankan band of adults are curvilinear.
Body mass index indexed to improve as we grow old in younger; relatively lingering in the middle-age and lowering of old in women and men (Profile dos). That it curvilinear impact is actually more critical in females (Roentgen 2 = 0.twenty seven, Roentgen 2 transform = 0.058, Find eleven.5%) (p = dos = 0.61, Roentgen 2 change = 0.009 ,Pick 13.7%) (p = Contour dos
