Table 2 Stepwise multiple regression analysis predicting BMI change from gender, health behaviour changes and interaction between gender and health behaviours

1

Gender¹

−0.57 (−0.82 -0.31)

<0.001

0.57

0.07

0.06

Residency²

−0.07 (−0.34, 0,21)

0.62

0.06

F(4, 286) = 5.1, p = 0.001

F(4,286) = 5.1, p = 0.001

Socio-economic status³

−0.07 (−0.34, 0.21)

0.63

0.06

Smoking status⁴

−0.13 (−0.67, 0.4)

0.62

0.06

2

Gender¹

−0.49 (−0.74, −0.24)

<0.001

0.49

0.06

0.11

Residency²

−0.14 (−0.41, 0.13)

0.30

0.13

F(5, 281) = 5.3, p = 0.002

F (9, 281) = 5.3, p < 0.001

Socio-economic status³

−0.02 (−0.28, 0.25)

0.89

0.02

Smoking status⁴

−0.18 (−0.70, 0.35)

0.51

0.08

Change in sport participation

−0.15 (−0.27, −0.03)

0.02

0.31

Change in internet use

0.14 (0.02, 0.26)

0.02

0.29

Change in time spent studying

−0.14 (−0.26, −0.01)

0.03

0.27

Change in fruit and vegetable intake

−0.10 (−0.22, 0.03)

0.13

0.19

Change in alcohol consumption

0.07 (−0.05, 0.20)

0.25

0.14

3

Gender¹

−0,40 (−0.66, −0.14)

0.003

0.39

0.02

0.12

Residency²

−0,22 (−0.49, 0.06)

0.12

0.20

F(2, 279) = 3.3, p = 0.04

F(9, 279) = 4.9, p < 0.001

Socio-economic status³

0.004 (−0.26, 0.27)

0.98

0.00

Smoking status⁴

−0.20 (−0.72, 0.33)

0.46

0.09

Change in sport participation

−0.16 (−0.28, −0.04)

0.01

0.32

Change in internet use

0.13 (0.01, 0.25)

0.04

0.27

Change in time spent studying

−0.13 (−0.25, −0.01)

0.03

0.27

Change in fruit and vegetable intake

0.11 (−0.37, 0.60)

0.65

0.06

Change in alcohol consumption

−0.21 (−0.61, 0.18)

0.37

0.14

Gender × change in fruit and vegetable intake

−0.06 (−0.13, 0.01)

0.08

0.22

Gender × change in alcohol consumption

0.08 (−0.01, 0.17)

0.08

0.22