We aimed to understand what influences parents’ purchasing behaviours when shopping for groceries online and potential ways to improve the healthiness of online grocery platforms.

We conducted semi-structured interviews, guided by the Marketing Mix framework. Reflexive thematic analysis was used to analyse data.

Online interviews were conducted with primary grocery shoppers.

Parents (n 14) or caregivers (n 2) using online grocery platforms at least every 2 weeks.

Most participants perceived purchasing healthy food when shopping for groceries online to be more challenging compared to in physical stores. They expressed concerns about the prominence of online marketing for unhealthy food. Participants from lower socio-economic backgrounds often depended on online supermarket catalogues to find price promotions, but healthy options at discounted prices were limited. Across socio-economic groups, fresh items like meat and fruit were preferred to be purchased instore due to concerns about online food quality.

Participants believed online grocery platforms should make healthy foods more affordable and supported regulations on supermarket retailers to promote healthy options and limit unhealthy food promotion online.

Participants had varied experiences with online grocery shopping, with both positive and negative aspects. Efforts to improve population diets need to include mechanisms to create health-enabling online grocery retail platforms. Government interventions to restrict marketing of unhealthy foods and promote marketing of healthy options on these platforms warrant investigation.

To compare the cost and affordability of two fortnightly diets (representing the national guidelines and current consumption) across areas containing Australia’s major supermarkets.

The Healthy Diets Australian Standardised Affordability and Pricing protocol was used.

Price data were collected online and via phone calls in fifty-one urban and inner regional locations across Australia.

Not applicable.

Healthy diets were consistently less expensive than current (unhealthy) diets. Nonetheless, healthy diets would cost 25–26 % of the disposable income for low-income households and 30–31 % of the poverty line. Differences in gross incomes (the most available income metric which overrepresents disposable income) drove national variations in diet affordability (from 14 % of the median gross household incomes in the Australian Capital Territory and Northern Territory to 25 % of the median gross household income in Tasmania).

In Australian cities and regional areas with major supermarkets, access to affordable diets remains problematic for families receiving low incomes. These findings are likely to be exacerbated in outer regional and remote areas (not included in this study). To make healthy diets economically appealing, policies that reduce the (absolute and relative) costs of healthy diets and increase the incomes of Australians living in poverty are required.

To assess the feasibility of implementation and customer perspectives of a sugar-sweetened beverage (SSB) reduction initiative across YMCA Victoria aquatic and recreation centres.

Two data sources were used to assess implementation and customer acceptability. Photo audits were used to assess the type of drinks available for purchase 6 months prior to initiative implementation and 6 months after, in thirty centres. Change in the range of SSB targeted for removal, non-targeted SSB, as well as drinks classified as ‘red’ (limit), ‘amber’ (choose carefully) and ‘green’ (best choice), was reported. Customer surveys were conducted in three centres to assess acceptability and awareness of the initiative. Inductive and deductive thematic analysis was used to analyse customers’ perspectives of the initiative.

30 aquatic and recreation centres in Victoria, Australia.

806 customers.

At post-implementation, 87 % of centres had removed targeted SSB. ‘Red’ drinks reduced by an average of 4·4 drink varieties compared to pre-implementation (11·9 varieties) and ‘green’ drinks increased by 1·4 varieties (3·2 varieties pre-implementation). Customers were largely unaware of the SSB-reduction initiative (90 %) but supported YMCA Victoria in continuing the initiative (89 %), with many believing it would support children in making healthier choices.

Implementation of an initiative that limited SSB availability across a large number of aquatic and recreation centres was feasible and considered acceptable by customers. Customers frequently mentioned the importance of protecting children from consuming SSB.

To investigate (i) changes in stakeholder commitment and (ii) perceptions of the purpose, challenges and benefits of healthy food and beverage provision in community sports settings during the stepwise implementation of a healthy beverage policy.

Convergent, parallel, mixed-methods design complemented (i) repeat semi-structured interviews with council stakeholders (n 17 interviews, n 6 interviewees), with (ii) repeat quantitative stakeholder surveys measuring Commitment to Organisational Change; (iii) weekly sales data examining health behaviour and revenue effects (15 months pre-intervention; 14 months post-intervention); (iv) customer exit surveys (n 458); and (v) periodic photographic audits of beverage availability. Interviews were analysed inductively. Stakeholder surveys, sales data, customer surveys and audits were analysed descriptively.

Four local government-owned sports and recreation centres in Melbourne, Australia, completed a 3-month trial to increase the availability of healthy beverages and decrease the availability of unhealthy beverages in food outlets.

Interviews were conducted with council managers and those involved in implementation (September 2016–October 2017). Customers were surveyed (September–October 2017).

Interviews and surveys indicated that stakeholders’ commitment to policies varied such that, over time, optimism that changing beverage availability could increase the healthiness of customers’ purchases became more widespread among interviewees. Stakeholder focus generally progressed from anticipatory concern to solutions-focused discussions. Sales, audit and customer survey data supported interview findings.

We found a general increase in optimism regarding policy outcomes over time during the implementation of a healthy beverage policy. Stepwise trials should be further explored as an engagement tool within community retail settings.

Local governments have integral roles in contributing to public health. One recent focus has been on how local governments can impact community nutrition by engaging food service outlets to improve their food offer. The Healthier Catering Commitment (HCC) is an initiative where London local governments support takeaways and restaurants to meet centrally defined nutrition criteria on their food options. Using the case of HCC, the current study aims to provide (1) practical learnings of how local governments could facilitate and overcome barriers associated with implementing healthy food service initiatives in general, and (2) specific recommendations for enhancements for HCC.

Key informant, semi-structured interviews were conducted with local government staff involved in HCC, exploring barriers and facilitators to HCC implementation in food businesses. A thematic analysis approach was used, with results presented according to a logic pathway of ideal implementation in order to provide practical, focused insights.

Local governments implementing HCC.

Twenty-two individuals supporting HCC implementation.

Facilitators to implementation included flexible approaches, shared resourcing and strategically engaging businesses with practical demonstrations. Barriers were limited resources, businesses fearing negative customer responses and low uptake in disadvantaged areas. Key suggestions to enhance implementation and impact included offering additional incentives, increasing HCC awareness and encouraging recruited businesses to make healthy changes beyond initiative requirements.

In order to facilitate the implementation of healthy food initiatives in food outlets, local governments would benefit from involving their environmental health team, employing community-tailored approaches and focusing on supporting businesses in disadvantaged areas.

To quantify sales trends for key energy-dense, nutrient-poor (EDNP) foods and beverages over 5 years in Australia.

The Euromonitor Global Market Information Database and linear regression models were used to estimate average annual change in sales per capita of thirteen EDNP food categories and two EDNP beverage categories (defined using Australian Dietary Guidelines) over 5 years (2012–2017 for foods and 2011–2016 for beverages). The average annual change in sales was divided by the observed sales in 2012 (foods) or 2011 (beverages) to estimate the average percentage-change in sales per capita per annum.

All major retail outlets in Australia.

Euromonitor Global Market Information Database sales data.

Between 2012 and 2017, sales per capita per annum of frozen pizza (6 %), pastries (5 %), potato chips (crisps) (5 %), tortilla chips (3 %), chocolate confectionery (2 %), frozen processed potatoes (2 %), ice cream (2 %) and sugar confectionery (0·2 %) increased. There were no changes in sales of sweet biscuits, chocolate spreads and cakes, and sales of savoury biscuits and processed meat decreased (–2 and –1 %, respectively). Between 2011 and 2016, sales per capita per annum of sports and energy drinks increased (4 %), sales of regular (sugar-sweetened) cola (–6 %) and all non-cola soft drinks (–1 %) decreased and sales of diet cola did not change.

Sales of EDNP foods and beverages generally increased or remained stable relative to population growth. Our results demonstrate the need for public health policies to reduce sales of EDNP foods and beverages.

To determine the reliability of streamlined data-gathering techniques for examining the price and affordability of a healthy (recommended) and unhealthy (current) diet. We additionally estimated the price and affordability of diets across socio-economic areas and quantified the influence of different pricing scenarios.

Following the Healthy Diets Australian Standardised Affordability and Pricing (ASAP) protocol, we compared a cross-sectional sample of food and beverage pricing data collected using online data and phone calls (lower-resource streamlined techniques) with data collected in-store from the same retailers.

Food and beverage prices were collected from major supermarkets, fast food and alcohol retailers in eight conveniently sampled areas in Victoria, Australia (n 72 stores), stratified by area-level deprivation and remoteness.

This study did not involve human participants.

The biweekly price of a healthy diet was on average 21 % cheaper ($596) than an unhealthy diet ($721) for a four-person family using the streamlined techniques, which was comparable with estimates using in-store data (healthy: $594, unhealthy: $731). The diet price differential did not vary considerably across geographical areas (range: 18–23 %). Both diets were estimated to be unaffordable for families living on indicative low disposable household incomes and below the poverty line. The inclusion of generic brands notably reduced the prices of healthy and unhealthy diets (≥20 %), rendering both affordable against indicative low disposable household incomes. Inclusion of discounted prices marginally reduced diet prices (3 %).

Streamlined data-gathering techniques are a reliable method for regular, flexible and widespread monitoring of the price and affordability of population diets in areas where supermarkets have an online presence.

In 2015, beverages were removed from display at a self-service café within a major health service, resulting in fewer purchases of unhealthy beverages. This initiative was continued following initial evaluation of the results. The current study aimed to determine customer acceptability of the initiative, and whether healthier purchases had continued, at 18 months following implementation.

Drinks were categorised as ‘green’ (best choices), ‘amber’ (choose carefully) and ‘red’ (limit), based on the state government nutrient profiling system, for intervention and analysis purposes. In 2015, unhealthy ‘red’ drinks were removed from display. In 2017, weekly beverage sales were counted, through stock-taking, for 6 weeks, and customer surveys were conducted over 2 days.

A café located within a major Victorian health service.

Café customers (hospital staff, patients and visitors).

Eighteen months after the implementation of the initiative, the proportion of ‘red’ beverages sold was 7 % of total drink sales (compared with 33 % before the removal of unhealthy beverages from display in 2015 (P < 0·001), and 10 % immediately following the removal of unhealthy beverages from display). Customer surveys revealed high levels of acceptability for the initiative and low levels of awareness of the initiative.

The removal of unhealthy beverages from display can result in customers making healthier purchases, and this appears to continue over the long-term. Such interventions have the potential to contribute to the sustained shift in population purchases and consumption needed to make meaningful improvements to population health.

The present study assessed the impact of the retailer-led removal of unhealthy beverages from display at a self-service café within a major health service. While unhealthy beverages remained available from behind the counter upon request, this was not communicated directly to customers.

Drinks were categorised based on the state government nutrient profiling system, classifying drinks as ‘green’ (best choices), ‘amber’ (choose carefully) and ‘red’ (limit). Total drink sales (as number of items sold per week) in the café were measured for five weeks. All unhealthy ‘red’ beverages were removed from display (but were still available for purchase) and the sales of all beverages were measured for another six weeks.

We found that, in response to this strategy, the proportion of ‘red’ drinks sold decreased from 33 % to 10 % of total drink sales. As ‘amber’ and ‘green’ drink sales increased in response to this strategy, total retailer sales remained steady. Most consumers appeared to switch to purchasing ‘amber’ drinks rather than the healthiest option, ‘green’ drinks.

The removal of unhealthy beverages from display can result in consumers making healthier purchases, while not significantly affecting retailers’ sales.

A tax on sugar-sweetened beverages (SSB) has been proposed to address population weight gain but the effect across socio-economic position (SEP) is unclear. The current study aimed to clarify the differential impact(s) of SSB taxes on beverage purchases and consumption, weight outcomes and the amount paid in SSB taxes according to SEP.

Databases (OVID and EMBASE) and grey literature were systematically searched in June 2015 to identify studies that examined effects of an SSB price increase on beverage purchases or consumption, weight outcomes or the amount paid in tax across SEP, within high-income countries.

Of the eleven included articles, three study types were identified: (i) those that examined the association between variation in SSB taxes and SSB consumption and/or body weight (n 3); (ii) price elasticity estimation of SSB demand (n 1); and (iii) modelling of hypothetical SSB taxes by combining price elasticity estimates with population SEP-specific beverage consumption, energy intake or body weight (n 7). Few studies statistically tested differences in outcomes between SEP groups. Nevertheless, of the seven studies that reported on changes in weight outcomes for the total population following an increase in SSB price, all reported either similar reductions in weight across SEP groups or greater reductions for lower compared with higher SEP groups. All studies that examined the average household amount paid in tax (n 5) reported that an SSB tax would be regressive, but with small differences between higher- and lower-income households (0·10–1·0 % and 0·03 %–0·60 % of annual household income paid in SSB tax for low- and high-income households, respectively).

Based on the available evidence, a tax on SSB will deliver similar population weight benefits across socio-economic strata or greater benefits for lower SEP groups. An SSB tax is shown to be consistently financially regressive, but to a small degree.

We aimed to investigate the association between multiple measures of socio-economic position (SEP) and diet quality, using a diet quality index representing current national dietary guidelines, in the Australian adult population.

Cross-sectional study. Linear regression analyses were used to estimate the association between indicators of SEP (educational attainment, level of income and area-level disadvantage) and diet quality (measured using the Dietary Guideline Index (DGI)) in the total sample and stratified by sex and age (≤55 years and >55 years).

A large randomly selected sample of the Australian adult population.

Australian adults (n 9296; aged ≥25 years) from the Australian Diabetes, Obesity and Lifestyle Study.

A higher level of educational attainment and income and a lower level of area-level disadvantage were significantly associated with a higher DGI score, across the gradient of SEP. The association between indicators of SEP and DGI score was consistently stronger among those aged ≤55 years compared with their older counterparts. The most disadvantaged group had a DGI score between 2 and 5 units lower (depending on the marker of SEP) compared with the group with the least disadvantage.

A higher level of SEP was consistently associated with a higher level of diet quality for all indicators of SEP examined. In order to reduce socio-economic inequalities in diet quality, healthy eating initiatives need to act across the gradient of socio-economic disadvantage with a proportionate focus on those with greater socio-economic disadvantage.

Pattern analysis has emerged as a tool to depict the role of multiple nutrients/foods in relation to health outcomes. The present study aimed at extracting nutrient patterns with respect to breast cancer (BC) aetiology.

Nutrient patterns were derived with treelet transform (TT) and related to BC risk. TT was applied to twenty-three log-transformed nutrient densities from dietary questionnaires. Hazard ratios (HR) and 95 % confidence intervals computed using Cox proportional hazards models quantified the association between quintiles of nutrient pattern scores and risk of overall BC, and by hormonal receptor and menopausal status. Principal component analysis was applied for comparison.

The European Prospective Investigation into Cancer and Nutrition (EPIC).

Women (n 334 850) from the EPIC study.

The first TT component (TC1) highlighted a pattern rich in nutrients found in animal foods loading on cholesterol, protein, retinol, vitamins B12 and D, while the second TT component (TC2) reflected a diet rich in β-carotene, riboflavin, thiamin, vitamins C and B6, fibre, Fe, Ca, K, Mg, P and folate. While TC1 was not associated with BC risk, TC2 was inversely associated with BC risk overall (HRQ5 v. Q1=0·89, 95 % CI 0·83, 0·95, Ptrend<0·01) and showed a significantly lower risk in oestrogen receptor-positive (HRQ5 v. Q1=0·89, 95 % CI 0·81, 0·98, Ptrend=0·02) and progesterone receptor-positive tumours (HRQ5 v. Q1=0·87, 95 % CI 0·77, 0·98, Ptrend<0·01).

TT produces readily interpretable sparse components explaining similar amounts of variation as principal component analysis. Our results suggest that participants with a nutrient pattern high in micronutrients found in vegetables, fruits and cereals had a lower risk of BC.

To identify predictors of increased adiposity for different measures of adiposity.

Prospective cohort study, the Melbourne Collaborative Cohort Study (MCCS), with data at baseline (1990–1994) and wave 2 (2003–2007).

Participants recruited from the community.

Australian-born participants (n 5879) aged 40 to 69 years who were not current smokers and who were free from common chronic diseases at recruitment. At baseline and at wave 2, weight and waist circumference were measured; while demographic and lifestyle variables were obtained at baseline via structured interviews.

Participants who reported any recreational physical activity at baseline had lower weight and smaller waist circumference at wave 2 than those who did not, particularly for younger participants and for vigorous physical activity. Walking for leisure was not associated, and greater physical activity at work was associated, with greater adiposity measures at wave 2. A diet low in carbohydrates and fibre, but high in fat and protein, predicted greater weight and waist circumference at wave 2. Participants were less likely to have elevated weight or waist circumference at wave 2 if they consumed low to moderate amounts of alcohol.

Our findings indicate that promoting vigorous physical activity, encouraging a diet high in carbohydrate and fibre but low in fat and protein, and limiting alcohol intake could be promising approaches for preventing obesity in middle-aged adults. Similar interventions should successfully address the management of both weight and waist circumference, as they were predicted by similar factors.

To identify predictors of increasing waist circumference (WC) over a 5-year period in a contemporary population of Australian adults.

Longitudinal national cohort of adults participating in the Australian Diabetes, Obesity and Lifestyle Study (AusDiab).

Australian adults in 2000 and 2005.

A total of 2521 men and 2726 women aged ≥25 years at baseline who participated in AusDiab and provided anthropometric measurements at baseline (1999–2000) and follow-up (2005).

A ≥5 % increase of baseline WC occurred in 27 % of men and 38 % of women over the 5-year period. In the multivariate analysis of the total population, there was a higher risk of ≥5 % gain in baseline WC in women, younger people, people with a lower baseline WC, people who never married compared with married/de facto, current smokers compared with never smokers, people with a poorer diet quality and people with a low energy intake. However, there was no significant association with many expected predictors of waist gain such as physical activity. There were some associations between other lifestyle factors and change of WC by sex, age, level of education and across WC categories, but the associations differed across these groups.

A ≥5 % increase of baseline WC occurred in a significant proportion of men and women over the 5-year period. Of the behavioural factors, poor diet quality was the key predictor of the ≥5 % increase of baseline WC in this cohort. The findings highlight the need to understand better the causal role of lifestyle in regard to increasing WC over time.

The evidence for the association between obesity and the risk of type 2 diabetes has been derived mainly from the analysis of the degree of obesity. The role of the duration of obesity as an independent risk has not been fully explored. The objective of the present study was to investigate the association between the duration of obesity and the risk of type 2 diabetes.

Prospective cohort study.

The Framingham Heart Study (FHS), follow-up from 1948 to 1998.

A total of 1256 FHS participants who were free from type 2 diabetes at baseline, but were obese on at least two consecutive of the study’s twenty-four biennial examinations, were included. Type 2 diabetes status was collected throughout the 48 years of follow-up of the study. The relationship between duration of obesity and type 2 diabetes was analysed using time-dependent Cox models, adjusting for a number of covariates.

The unadjusted hazard ratio (HR) for the risk of type 2 diabetes for men was 1·13 (95 % CI 1·09, 1·17) and for women was 1·12 (95 % CI 1·08, 1·16) per additional 2-year increase in the duration of obesity. Adjustment for sociodemographic variables, family history of diabetes, health behaviour and physical activity made little difference to these HR. For women the evidence of a dose–response relationship was less clear than for men, particularly for women with an older age at obesity onset.

The duration of obesity is a relevant risk factor for type 2 diabetes, independent of the degree of BMI.

To analyse changes in the distribution of BMI in Australia between 1980 and 2000.

Data were from the 1980, 1983 and 1989 National Heart Foundation Risk Factor Prevalence Study, the 1995 National Nutrition Survey and the 1999/2000 Australian Diabetes, Obesity and Lifestyle Study. Survey participants were aged 25–64 years and resident in Australian capital cities. BMI was calculated as weight divided by height squared (kg/m2), where weight and height were measured using standard procedures.

Mean BMI was higher in 2000 than 1980 in all sex and age groups. The age-adjusted increase was 1·4 kg/m2 in men and 2·1 kg/m2 in women. The BMI distribution shifted rightwards for all sex and age groups and became increasingly right-skewed. The change between 1980 and 2000 ranged from a decrease of 0·04 kg/m2 at the lower end of the distribution for men aged 25–34 years to an increase of 7·4 kg/m2 at the higher end for women aged 55–64 years. While the prevalence of obesity (BMI ≥ 30 kg/m2) doubled, the prevalence of obesity class III (BMI ≥ 40 kg/m2) increased fourfold.

BMI in urban Australian adults has increased and its distribution has become increasingly right-skewed. This has resulted in a large increase in the prevalence of obesity, particularly the more severe levels of obesity. It will be important to monitor changes in the different classes of obesity and the extent to which obesity interventions both shift the BMI distribution leftwards and decrease the skew of the distribution.