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

Table 3.

Hierarchical multiple regression analysis for unhealthy 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 2·24* 0·009
Sex (1=male, 0=female) 0·08** 12·89, 62·86 0·06* 0·35, 52·80
Age −0·05 −1·46, 0·15 0·06 −0·08, 1·63
BMI 0·02 −1·54, 3·82 −0·01 −3·38, 2·07
Marital status (1=yes, 0=no) 0·00 −25·07, 28·02 0·01 −19·14, 32·35
Education level −0·00 −8·81, 7·84 −0·01 −10·20, 6·39
Step 2 13·00** 0·075
Emotional eating 0·05 −6·61, 37·37
External eating 0·16** 34·71, 99·32
Restrained eating −0·06 −35·04, 1·66
Intention 0·03 −7·18, 22·05
Appearance concerns (1=yes, 0=no) −0·04 −44·85, 11·19
Health concerns (1=yes, 0=no) −0·03 −40·26, 11·18
Unhealthy snack habit strength 0·12** 9·62, 32·67
Perceived health consequences 0·04 −6·18, 37·45

*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.