To investigate whether financial constraint and perceived stress modify the effects of food-related taxes on the healthiness of food purchases.

Moderation analyses were conducted with data from a trial where participants were randomly exposed to: a control condition with regular food prices, an sugar-sweetened beverage (SSB) tax condition with a two-tiered levy on the sugar content in SSB (5–8 g/100 ml: €0·21 per l and ≥8 g/100 ml: €0·28 per l) or a nutrient profiling tax condition where products with Nutri-Score D or E were taxed at a 20 percent level. Outcome measures were overall healthiness of food purchases (%), energy content (kcal) and SSB purchases (litres). Effect modification was analysed by adding interaction terms between conditions and self-reported financial constraint or perceived stress in regression models. Outcomes for each combination of condition and level of effect modifier were visualised.

Virtual supermarket.

Dutch adults (n 386).

Financial constraint or perceived stress did not significantly modify the effects of food-related taxes on the outcomes. Descriptive analyses suggest that in the control condition, the overall healthiness of food purchases was lowest, and SSB purchases were highest among those with moderate/high levels of financial constraint. Compared with the control condition, in a nutrient profiling tax condition, the overall healthiness of food purchases was higher and SSB purchases were lower, especially among those with moderate/high levels of financial constraint. Such patterns were not observed for perceived stress.

Further studies with larger samples are recommended to assess whether food-related taxes differentially affect food purchases of subgroups.

To investigate the effects of a sugar-sweetened beverage (SSB) tax and a nutrient profiling tax on consumer food purchases in a virtual supermarket.

A randomised controlled trial was conducted with a control condition with regular food prices (n 152), an SSB tax condition (n 130) and a nutrient profiling tax condition based on Nutri-Score (n 112). Participants completed a weekly grocery shop for their household. Primary outcome measures were SSB purchases (ordinal variable) and the overall healthiness of the total shopping basket (proportion of total unit food items classified as healthy). The secondary outcome measure was the energy (kcal) content of the total shopping basket. Data were analysed using regression analyses.

Three-dimensional virtual supermarket.

Dutch adults aged ≥18 years are being responsible for grocery shopping in their household (n 394).

The SSB tax (OR = 1·62, (95 % CI 1·03, 2·54)) and the nutrient profiling tax (OR = 1·88, (95 %CI 1·17, 3·02)) increased the likelihood of being in a lower-level category of SSB purchases. The overall healthiness of the total shopping basket was higher (+2·7 percent point, (95 % CI 0·1, 5·3)), and the energy content was lower (−3301 kcal, (95 % CI −6425, −177)) for participants in the nutrient profiling tax condition than for those in the control condition. The SSB tax did not affect the overall healthiness and energy content of the total shopping basket (P > 0·05).

A nutrient profiling tax targeting a wide range of foods and beverages with a low nutritional quality seems to have larger beneficial effects on consumer food purchases than taxation of SSB alone.

To investigate socio-economic differences in changes in fruit and vegetable intake between 2004 and 2011 and explore the mediating role of financial barriers in this change.

Respondents completed a self-reported questionnaire in 2004 and 2011, including questions on fruit and vegetable intake (frequency per week), indicators of socio-economic position (education, income) and perceived financial barriers (fruits/vegetables are expensive, financial distress). Associations were analysed using ordinal logistic regression. The mediating role of financial barriers in the association between socio-economic position and change in fruit and vegetable intake was studied with the Baron and Kenny approach.

Longitudinal GLOBE study.

A total of 2978 Dutch adults aged 25–75 years.

Respondents with the lowest income in 2004 were more likely to report a decrease in intake of cooked vegetables (P-trend<0·001) and raw vegetables (P-trend<0·001) between 2004 and 2011, compared with those with the highest income level. Respondents with the lowest education level in 2004 were more likely to report a decrease in intake of fruits (P-trend=0·021), cooked vegetables (P-trend=0·033), raw vegetables (P-trend<0·001) and fruit juice (P-trend=0·027) between 2004 and 2011, compared with those with the highest education level. Financial barriers partially mediated the association between income and education and the decrease in fruit and cooked vegetable intake between 2004 and 2011.

These results show a widening of relative income and educational differences in fruit and vegetable intake between 2004 and 2011. Financial barriers explained a small part of this widening.

The present study examined associations of several home and neighbourhood environmental variables with fruit consumption and explored whether these associations were mediated by variables derived from the Theory of Planned Behaviour (TPB) and by habit strength.

Data of the Dutch GLOBE study on household and neighbourhood environment, fruit intake and related factors were used, obtained by self-administered questionnaires (cross-sectional), face-to-face interviews and audits.

The city of Eindhoven in the Netherlands

Adults (n 333; mean age 58 years, 54 % female).

Multiple mediation analyses were conducted using regression analyses to assess the association between environmental variables and fruit consumption, as well as mediation of these associations by TPB variables and by habit strength. Intention, perceived behaviour control, subjective norm and habit strength were associated with fruit intake. None of the neighbourhood environmental variables was directly or indirectly associated with fruit intake. The home environmental variable ‘modelling behaviour by family members’ was indirectly, but not directly, associated with fruit intake. Habit strength and perceived behaviour control explained most of the mediated effect (71·9 %).

Modelling behaviour by family members was indirectly associated with fruit intake through habit strength and perceived behaviour control. None of the neighbourhood variables was directly or indirectly, through any of the proposed mediators, associated with adult fruit intake. These findings suggest that future interventions promoting fruit intake should address a combination of the home environment (especially modelling behaviour by family members), TPB variables and habit strength for fruit intake.

To review the literature examining associations between environmental factors, energy and fat intakes among adults, and to identify issues for future research.

Literature searches of studies published between 1980 and 2004 were conducted in major databases (i.e. PubMed, Human Nutrition, Web of Science, PsychInfo, Sociofile). Additional articles were located by citation tracking.

Twenty-one articles met the inclusion criteria. No study provided a clear conceptualisation of how environmental factors may influence these dietary intakes. Availability, social, cultural and material aspects of the environment were relatively understudied compared with other factors such as seasonal/day of the week variation and work-related factors. Few studies examined the specific environmental factors implicated in the obesity epidemic, and there was little study replication. All studies were observational and cross-sectional.

It is too premature to conclude whether or not environmental factors play a role in obesogenic and unhealthy dietary intakes. More studies need to examine associations with those environmental factors thought to contribute to obesogenic environments. There needs to be more development in theories that conceptualise the relationship between environmental factors and dietary intakes.