Table 2

Multivariable analysis

Variable	Females			Males
Variable	(1)	(2)	(3)	(1)	(2)	(3)
Time saved commuting	0.045	0.040	0.040	−0.013	−0.007	−0.005
SE	0.020	0.020	0.020	0.019	0.020	0.019
P value	0.026	0.048	0.049	0.475	0.737	0.798
95% CI	(0.005 to 0.084)	(0.000 to 0.080)	(0.000 to 0.079)	(−0.051 to 0.024)	(−0.045 to 0.032)	(−0.042 to 0.032)
Time at home	0.006	0.008	0.008	−0.008	−0.002	−0.006
SE	0.010	0.010	0.010	0.009	0.010	0.010
P value	0.560	0.432	0.427	0.396	0.850	0.561
95% CI	(−0.013 to 0.025)	(−0.012 to 0.028)	(−0.012 to 0.028)	(−0.027 to 0.011)	(−0.021 to 0.017)	(−0.025 to 0.014)
Age 65+	0.256			−3.638
SE	1.556			1.870
P value	0.870			0.054
95% CI	(−2.821 to 3.332)			(−7.335 to 0.059)
Age		0.013	0.011		−0.036	−0.045
SE		0.023	0.023		0.025	0.024
P value		0.573	0.650		0.152	0.066
95% CI		(−0.033 to 0.059)	(−0.035 to 0.056)		(−0.084 to 0.013)	(−0.092 to 0.003)
With obesity	−0.760			0.146
SE	0.670			0.731
P value	0.258			0.842
95% CI	(−2.084 to 0.565)			(−1.299 to 1.592)
BMI		−0.045	−0.044		0.055	0.037
SE		0.031	0.031		0.067	0.066
P value		0.149	0.159		0.418	0.574
95% CI		(−0.107 to 0.016)	(−0.105 to 0.017)		(−0.078 to 0.187)	(−0.093 to 0.167)
‘Cannot afford to buy fruit and veg’	0.210	−0.327		0.764	1.007
SE	0.778	0.825		0.895	1.025
P value	0.788	0.692		0.395	0.328
95% CI	(−1.329 to 1.748)	(−1.959 to 1.304)		(−1.007 to 2.534)	(−1.020 to 3.033)
‘Difficult to buy more fruit and veg on my budget’	0.204	0.202		−0.525	−0.536
SE	0.744	0.784		0.714	0.773
P value	0.785	0.797		0.464	0.489
95% CI	(−1.268 to 1.676)	(−1.347 to 1.751)		(−1.936 to 0.887)	(−2.064 to 0.991)
‘Lack of money prevents me from eating healthily’	0.643	0.895		0.717	0.700
SE	0.787	0.829		0.846	0.943
P value	0.415	0.282		0.398	0.459
95% CI	(−0.912 to 2.198)	(−0.744 to 2.534)		(−0.955 to 2.389)	(−1.165 to 2.565)
No garden			−0.977			−1.916
SE			0.881			1.209
P value			0.269			0.115
95% CI			(−2.719 to 0.765)			(−4.306 to 0.474)

Table shows the coefficient estimates of linear Ordinary Least Squares (OLS) regressions of the dependent variable ‘Consumption of fruit and vegetables (portions/day)’ on the independent variables listed in the first column. All models include time saved commuting and time at home. Model (1) controls for dummies for ‘age over 65 years’, ‘living with obesity’ and three dummy variables for low food budget; model (2) replaces the first two dummy variables for age in years and BMI; and model (3) also replaces the budget dummies for a dummy variables indicating that the household has ‘no garden’. The first three columns are for female, the second set of three columns for male respondents. Table entries show (unstandardised) coefficients, 95% CIs for these coefficients, standard errors and P values.
BMI, body mass index.