Explaining the effects of a point-of-purchase nutrition-information intervention in university canteens: a structural equation modelling analysis

Table 2 Standardized solutions for hypothesized relationships between intervention, mediators and behavioural outcome for different groups ^a

Construct	Path	Construct	People with low knowledge and high intention (n = 70)	People with high knowledge and high intention (n = 44)	Total sample (n = 220) ^b
Liking of information	$\overset{A}{\to}$	Use of information	0.58	0.90	0.59
Liking of information	$\overset{B}{\to}$	Effect on attitude	0.31		0.29
Use of information	$\overset{C}{\to}$	Effect on attitude			0.19
Objective understanding of information	$\overset{D}{\to}$	Use of information		0.38
Use of information	$\overset{E}{\to}$	Effect on energy intake		0.46
Subjective understanding of information	$\overset{F}{\to}$	Use of information		−0.27
Objective understanding of information	$\overset{G}{\to}$	Subjective understanding of information	0.28		0.20
Subjective understanding of information	$\overset{H}{\to}$	Effect on energy intake			−0.18
Subjective understanding of information	$\overset{I}{\to}$	Effect on subjective knowledge			0.17
Use of information	$\overset{J}{\to}$	Effect on subjective knowledge			0.24
Effect on attitude	$\overset{K}{\to}$	Effect on energy intake		0.41

^aOnly paths with at least one significant coefficient in any of the three models are included.
^bFour individuals were removed from the sample because of incomplete information, leaving a final sample of 220 valid cases.

ISSN: 1479-5868