The frequency analyses demonstrated that most respondents did not change their frequency of consuming alcohol, sweet snacks, and sugary beverages from before to during lockdown (a detailed breakdown is available in Supplementary Table
1). A comparable proportion of respondents increased or decreased their consumption of these products, ranging from 13% each way for alcohol to 21% each way for sweet snacks (see Table
2). Slightly more respondents increased (22%) compared to decreased (18%) their frequency of consuming salty snacks.
Table 2
Changes in consumption of unhealthy foods and alcohol during lockdown compared to before lockdown (n = 4022)
Increase (%) | 13a | 21a | 22a | 18a |
Stay the same (%) | 74b | 58b | 60b | 64b |
Decrease (%) | 13a | 21a | 18c | 18a |
Consistent with the descriptive analyses, the generalised linear models only revealed a main effect of time for salty snacks, with an increase in frequency of consumption over time (see Table
3). Across the product categories, the models identified several demographic and COVID-19 belief variables associated with increased frequency of consumption. Those with children at home were more likely to increase their frequency of consuming all four product categories (alcohol
B = .51, sweet snacks
B = .37, salty snacks
B = .41, and sugared beverages
B = .50), whereas those who believed an unhealthy diet would increase COVID-19 severity consumed these products less frequently (alcohol
B = − .46, sweet snacks
B = − .31, salty snacks
B = − .34, and sugared beverages
B = − .44). Older people increased their frequency of alcohol consumption (
B = .01), but reduced their frequency of consuming sweet snacks (
B = − .01), salty snacks (
B = − .02), and sugared beverages (
B = − .02). Male gender was associated with increased frequency of consumption of alcohol (
B = .65), salty snacks (
B = .13), and sugared beverages (
B = .49). A belief that alcohol use would increase COVID-19 severity was associated with decreased frequency of alcohol consumption (
B = − .14) but increased frequency for the remaining products (sweet snacks
B = .16, salty snacks
B = .20, and sugared beverages
B = .12). Higher education was linked to more frequent use of alcohol (
B = .09) and less frequent consumption of sugared beverages (
B = − .06). Last, living with more people was linked to more frequent consumption of salty snacks (
B = .04).
Table 3
Generalised estimating equations models’ results for predictors of changes in unhealthy dietary behaviours during lockdown
Age | .01 [.01, .01]*** | − .01 [− .02, − .01]*** | − .02 [− .02, − .02]*** | − .02 [− .03, − .02]*** |
Sex | |
Male | .65 [.54, .76]*** | < .01 [− .09, .09] | .13 [.05, .22]** | .49 [.38, .61]*** |
Femalea | - | - | - | - |
Children (< 18 years) living at home | |
Yes | .51 [.37, .65]*** | .37 [.25, .49]*** | .41 [.29, .52]*** | .50 [.35, .65]*** |
Noa | - | - | - | - |
Number of people living in household | − .04 [− .09, .01] | .03 [− .01, .08] | .04 [.00, .08]** | < .01 [− .06, .05] |
Education (higher education) | .09 [.06, .13]*** | − .01 [− .03, .02] | .01 [− .02, .03] | − .06 [− .10, − .03]*** |
Time | .01 [− .01, .04] | .01 [− .02, .05] | .04 [.01, .07]* | .01 [− .03, .04] |
Agree that factors increase COVID-19 severity | |
Alcohol drinking | − .14 [− .25, − .03]* | .16 [.07, .25]*** | .20 [.12, .29]*** | .12 [.01, .24]* |
Unhealthy diet | − .46 [− .58, − .35]*** | − .31 [− .41, − .22]*** | − .34 [− .43, − .25]*** | − .44 [− .56, − .32]*** |