Describing socioeconomic gradients in children’s diets – does the socioeconomic indicator used matter?

Zarnowiecki, Dorota; Ball, Kylie; Parletta, Natalie; Dollman, James

doi:10.1186/1479-5868-11-44

International Journal of Behavioral Nutrition and Physical Activity

Table 4 Results of correlated component regression analyses for unhealthy dietary intake outcome measures

From: Describing socioeconomic gradients in children’s diets – does the socioeconomic indicator used matter?

BOYS (n = 275)				GIRLS (n = 353)
Variable	CV predictor count^a	β	Model goodness of fit indices^b	Variable	CV predictor count^a	β	Model goodness of fit indices^b
Non-core food intake (1 predictor)				Non-core food intake (1 predictor)
Mother’s education*	62	−0.111	R² = 0.012	Mother’s education*	100	−0.119	R² = 0.012
Employment	35		R²(CV) = 0.011	Marital status	22		R²(CV) = 0.006
Marital status	21		SD (CV) = 0.008	Employment	8		SD (CV) = 0.003
Mother’s age	20			Income	7
Income	12			Mother’s occupation	6
Child age	10			SEIFA	3
SEIFA	10			Child age	2
Mother’s occupation	10			Mother’s age	2
Sweetened drink intake (6 predictors)				Sweetened drink intake (7 predictors)
Child age*	90	0.087	R² = 0.037	Income*	100	−0.085	R² = 0.069
Mother’s occupation*	79	0.070	R²(CV) = 0.008	Mother’s education*	100	−0.063	R²(CV) = 0.049
SEIFA*	78	−0.070	SD (CV) = 0.005	Employment*	100	−0.067	SD (CV) = 0.005
Mother’s age*	71	−0.051		Mother’s age*	100	−0.066
Income*	70	−0.057		SEIFA*	99	−0.064
Employment*	66	−0.048		Mother’s occupation*	71	0.049
Mother’s education	34			Marital status*	70	−0.045
Marital status	32			Child age^	--
Unhealthy behaviours^C (4 predictors)				Unhealthy behaviours^C (3 predictors)
Child age*	100	0.128	R² = 0.063	Mother’s education*	100	−0.184	R² = 0.063
Mother’s education*	100	−0.121	R²(CV) = 0.037	Mother’s occupation*	100	−0.149	R²(CV) = 0.039
Mother’s occupation*	90	0.088	SD (CV) = 0.005	Employment*	100	−0.255	SD (CV) = 0.003
Income*	87	−0.084		Mother’s age	20
Employment	3			Marital status	20
SEIFA^{^}	--			Child age	19
Mother’s age^{^}	--			Income	18
Marital status^{^}	--			SEIFA	3

*Predictor retained in final model.
^{^}Predictor not retained in any model.
ß = standardised regression coefficient.
^aCross-validation predictor count - Represents number of regressions in which predictor appeared. Predictor count of 100 indicates that predictor was present in all 100 regressions. Indicates importance of predictor together with standardised regression coefficient (β).
^bModel goodness of fit indices: R²(CV) = cross-validated R²; SD (CV) = Standard deviation for cross-validated R².
^cUnhealthy behaviours: Eat dinner in front of TV, Eat snacks in front of TV, Eat fast food.

Back to article page

ISSN: 1479-5868

Contact us

Submission enquiries: Access here and click Contact Us
General enquiries: journalsubmissions@springernature.com