Skip to main content
. 2015 Apr 21;19(4):625–632. doi: 10.1017/S136898001500097X

Table 4.

Hierarchical multiple regression analysis for fruit and vegetable snack consumption in a community-based sample of adults (n 1292), the Netherlands

β 1 95 % CI1 β final 95 % CIfinal ΔF ΔR 2
Step 1 13·98** 0·052
Sex (1=male, 0=female) −0·13** −0·53, −0·22 −0·08* −0·40, −0·06
Age 0·17** 0·01, 0·02 0·20** 0·01, 0·02
BMI 0·04 −0·004, 0·03 −0·00 −0·02, 0·02
Marital status (1=yes, 0=no) −0·01 −0·19, 0·14 −0·01 −0·20, 0·13
Education level −0·04 −0·09, 0·01 −0·06* −0·11, −0·003
Step 2 6·45** 0·037
Emotional eating 0·05 −0·05, 0·23
External eating −0·09* −0·46, −0·04
Restrained eating 0·10** 0·06, 0·29
Intention 0·11** 0·08, 0·27
Appearance concerns (1=yes, 0=no) 0·06 −0·14, 0·19
Health concerns (1=yes, 0=no) 0·01 −0·02, 0·34
Unhealthy snack habit strength 0·08* 0·01, 0·16
Perceived health consequences 0·04 −0·03, 0·25

*P<0·05; **P<0·01.

Sex, marital status, health concerns and appearance concerns are dichotomous variables, all other variables are (treated as) continuous variables.