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. 2016 Jul;88:203–209. doi: 10.1016/j.ypmed.2016.04.012

Table 2.

Expenditure (£/2000 kcal)a as a predictor of healthiness of household food choices.

Percent energy from less-healthy foods and beverages Percent energy from fruit and vegetablesb
Model 1: Expenditure (+ control variables) For 20% increase in expenditurec
Coefficient: B (95% CIs)
0.7 percentage point decreased
 − 9.32⁎⁎⁎ (− 10.10, − 8.54)
7.2% increased
0.38⁎⁎⁎ (0.34, 0.42)
Model 2: Model 1 + social class For 20% increase in expenditure
Coefficient: B (95% CIs)
0.7 percentage point decrease
 − 8.92⁎⁎⁎ (− 9.73, − 8.11)
6.4% increase
0.34⁎⁎⁎ (0.30, 0.38)
Model 3: Model 2 + supermarket choice group For 20% increase in expenditure
Coefficient: B (95% CIs)
0.7 percentage point decrease
 − 9.45⁎⁎⁎(− 10.31, − 8.59)
6.4% increase
0.34 ⁎⁎⁎ (0.30, 0.38)

All CI estimates were Bonferroni-corrected for multiple comparisons. Regressions controlled for age gender and ethnic group of main shopper; number of adults in household, number of children in household, and region of residence. Less-healthy foods and beverages were defined by FSA Nutrient Profile (28) scores for individual products (foods scoring 4 or more, and beverages 1 or more).

a

Expenditure was logged in analyses.

b

Percent energy from fruit and vegetables was logged in analyses.

c

A 20% increase in expenditure equates to an approximately £0.65 increase in spend per 2000 cal at the median value of expenditure (£3.24 per 2000 cal), and would move a household at the median value within each expenditure quintile into the quintile above.

d

Back-transformed from logged variables in analyses, from coefficient B:

– For less-healthy foods and beverages, calculated as: B*log(1.2)

– For fruit and vegetables, calculated as: 1.2^B.

⁎⁎⁎

p < 0.001.

Data from UK, 2010.