The worksite cafeteria is a suitable setting for interventions focusing on changing eating behavior, because a lot of employees visit the worksite cafeteria regularly and a variety of interventions ...could be implemented there. The aim of this paper is to describe the intervention development and design of the evaluation of an intervention to make the purchase behavior of employees in the worksite cafeteria healthier. The developed intervention called "the worksite cafeteria 2.0" consists of a set of 19 strategies based on theory of nudging and social marketing (marketing mix). The intervention will be evaluated in a real-life setting, that is Dutch worksite cafeterias of different companies and with a number of contract catering organizations.
The study is a randomized controlled trial (RCT), with 34 Dutch worksite cafeterias randomly allocated to the 12-week intervention or to the control group. Primary outcomes are sales data of selected products groups like sandwiches, salads, snacks and bread topping. Secondary outcomes are satisfaction of employees with the cafeteria and vitality.
When executed, the described RCT will provide better knowledge in the effect of the intervention "the worksite cafeteria 2.0" on the purchasing behavior of Dutch employees in worksite cafeterias.
Dutch Trial register: NTR5372 .
Unhealthy lifestyle behaviours such as unhealthy dietary intake and insufficient physical activity (PA) tend to cluster in adults with a low socioeconomic position (SEP), putting them at high ...cardiometabolic disease risk. Educational approaches aiming to improve lifestyle behaviours show limited effect in this population. Using environmental and context-specific interventions may create opportunities for sustainable behaviour change. In this study protocol, we describe the design of a real-life supermarket trial combining nudging, pricing and a mobile PA app with the aim to improve lifestyle behaviours and lower cardiometabolic disease risk in adults with a low SEP.
The Supreme Nudge trial includes nudging and pricing strategies cluster-randomised on the supermarket level, with: i) control group receiving no intervention; ii) group 1 receiving healthy food nudges (e.g., product placement or promotion); iii) group 2 receiving nudges and pricing strategies (taxing of unhealthy foods and subsidizing healthy foods). In collaboration with a Dutch supermarket chain we will select nine stores located in low SEP neighbourhoods, with the nearest competitor store at > 1 km distance and managed by a committed store manager. Across the clusters, a personalized mobile coaching app targeting walking behaviour will be randomised at the individual level, with: i) control group; ii) a group receiving the mobile PA app. All participants (target n = 1485) should be Dutch-speaking, aged 45-75 years with a low SEP and purchase more than half of their household grocery shopping at the selected supermarkets. Participants will be recruited via advertisements and mail-invitations followed by community-outreach methods. Primary outcomes are changes in systolic blood pressure, LDL-cholesterol, HbA1c and dietary intake after 12 months follow-up. Secondary outcomes are changes in diastolic blood pressure, blood lipid markers, waist circumference, steps per day, and behavioural factors including healthy food purchasing, food decision style, social cognitive factors related to nudges and to walking behaviours and customer satisfaction after 12 months follow-up. The trial will be reflexively monitored to support current and future implementation.
The findings can guide future research and public health policies on reducing lifestyle-related health inequalities, and contribute to a supermarket-based health promotion intervention implementation roadmap.
Dutch Trial Register ID NL7064, 30th of May, 2018.
Currently, many studies focus on how the environment can be changed to encourage healthier eating behavior, referred to as choice architecture or “nudging.” However, to date, these strategies are not ...often investigated in real-life settings, such as worksite cafeterias, or are only done so on a short-term basis.
The objective of this study is to examine the effects of a healthy worksite cafeteria “worksite cafeteria 2.0” (WC 2.0) intervention on Dutch employees’ purchase behavior over a 12-wk period.
We conducted a randomized controlled trial in 30 worksite cafeterias. Worksite cafeterias were randomized to either the intervention or control group. The intervention aimed to encourage employees to make healthier food choices during their daily worksite cafeteria visits. The intervention consisted of 14 simultaneously executed strategies based on nudging and social marketing theories, involving product, price, placement, and promotion.
Adjusted multilevel models showed significant positive effects of the intervention on purchases for 3 of the 7 studied product groups: healthier sandwiches, healthier cheese as a sandwich filling, and the inclusion of fruit. The increased sales of these healthier meal options were constant throughout the 12-wk intervention period.
This study shows that the way worksite cafeterias offer products affects purchase behavior. Situated nudging and social marketing–based strategies are effective in promoting healthier choices and aim to remain effective over time. Some product groups only indicated an upward trend in purchases. Such an intervention could ultimately help prevent and reduce obesity in the Dutch working population. This trial was registered at the Dutch Trial Register (http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=5372) as NTR5372.
This study obtained insight in motivation regarding food choices of Dutch employees, especially when visiting the worksite cafeteria. We also aimed to know why employees visit the worksite cafeteria. ...These insights are useful for intervention development to encourage healthier purchases in worksite cafeterias.
We conducted seven focus groups among 45 employees of seven Dutch companies. The topics were 1) drivers and motives for food selection; 2) motives for visiting the worksite cafeteria; 3) motives for food selection in the worksite cafeteria; 4) perceptions of healthiness of products in the worksite cafeteria and 5) solutions brought up by the employees to encourage healthier eating. Thematic analyses were conducted with MAXQDA software.
Qualitative analyses revealed that this group of Dutch employees mentioned ‘healthiness’, ‘price’ and ‘taste’ as most important drivers food selection. These employees generally visit the worksite cafeteria to have a break from their work setting. Healthiness played a less important role in visiting or making food choices in the worksite cafeteria. Reasons for buying unhealthy food items were being tempted and the feeling to ‘deserve’ it. In order to choose healthier foods employees suggested a bigger offer of healthy food options, providing knowledge, changing prices and prominent placing of healthy foods.
This focus group study shows that drivers for food selection can differ from motives for visiting the worksite cafeteria and when choosing food there. Health is important for food choice in general, but less important in the worksite cafeteria. The results of this study could be used in the development of strategies that aim to change people's food choice behavior.
Context: Multiple studies have been conducted on correlates of dietary behavior in adults, but a clear overview is currently lacking. Objective: An umbrella review, or review-of-reviews, was ...conducted to summarize and synthesize the scientific evidence on correlates and determinants of dietary behavior in adults. Data Sources: Eligible systematic reviews were identified in four databases: PubMed, PsycINFO, The Cochrane Library, and Web of Science. Only reviews published between January 1990 and May 2014 were included. Study Selection: Systematic reviews of observable food and dietary behavior that describe potential behavioral determinants of dietary behavior in adults were included. After independent selection of potentially relevant reviews by two authors, a total of 14 reviews were considered eligible. Data Extraction: For data extraction, the importance of determinants, the strength of the evidence, and the methodological quality of the eligible reviews were evaluated. Multiple observers conducted the data extraction independently. Data Synthesis: Social-cognitive determinants and environmental determinants (mainly the social-cultural environment) were included most often in the available reviews. Sedentary behavior and habit strength were consistently identified as important correlates of dietary behavior. Other correlates and potential determinants of dietary behavior, such as motivational regulation, shift work, and the political environment, have been studied in relatively few studies, but results are promising. Conclusions: The multitude of studies conducted on correlates of dietary behavior provides mixed, but sometimes quite convincing, evidence. However, because of the generally weak research design of the studies covered in the available reviews, the evidence for true determinants is suggestive, at best.
Background
Food portion sizes influence energy intake.
Purpose
The purpose of this paper is to determine effectiveness of the “PortionControl@HOME” intervention on body mass index and portion control ...behavior.
Methods
A randomized controlled trial among 278 overweight and obese participants was conducted. PortionControl@HOME aimed to increase: portion size awareness, portion control behavior, portion control cooking skills, and to create a home environment favoring portion control.
Results
Intention-to-treat multi-level regression analysis indicated statistically significant effects of the intervention on portion control behavior at 3, 6, and 12 months follow-up. The effect on body mass index was significant only at 3 months follow-up and when outliers (
n
= 3) were excluded (
B
= −0.45; 95 %CI = −0.88 to −0.04). The intervention effect on body mass index was mediated by portion control behavior.
Conclusions
The intervention improves portion control behavior, which in turn influence body mass index. Once the intervention ceased, sustained effects on body mass index were no longer evident. (Current-Controlled-Trials ISRCTN12363482).
BACKGROUND: The literature on determinants of dietary behavior among youth is extensive and unwieldy. We conducted an umbrella review or review-of-reviews to present a comprehensive overview of the ...current knowledge. METHODS: Therefore, we included systematic reviews identified in four databases (i.e. PubMed, PsycINFO, The Cochrane Library and Web of Science) that summarized determinants of observable child and adolescent dietary behaviors. Data extraction included a judgment of the importance of determinants, strength of evidence and evaluation of the methodological quality of the eligible reviews. RESULTS: In total, 17 reviews were considered eligible. Whereas social-cognitive determinants were addressed most intensively towards the end of the 20th century, environmental determinants (particularly social and physical environmental) have been studied most extensively during the past decade, thereby representing a paradigm shift. With regard to environmental determinants, mixed findings were reported. Sedentary behavior and intention were found to be significant determinants of a wide range of dietary behaviors in most reviews with limited suggestive evidence due to the cross-sectional study designs. Other potential determinants such as automaticity, self-regulation and subjective norm have been studied in relatively few studies, but results are promising. CONCLUSION: The multitude of studies conducted on potential determinants of dietary behavior provides quite convincing evidence of the importance of several determinants (i.e. quite some variables were significantly related to dietary behavior). However, because of the often used weak research designs in the studies covered in the available reviews, the evidence for true determinants is suggestive at best.
Background Supermarket interventions are promising to promote healthier dietary patterns, but not all individuals may be equally susceptible. We explored whether the effectiveness of nudging and ...pricing strategies on diet quality differs by psychological and grocery shopping characteristics. Methods We used data of the 12-month Supreme Nudge parallel cluster-randomised controlled supermarket trial, testing nudging and pricing strategies to promote healthier diets. Participants were Dutch speaking adults aged 30-80 years and regular shoppers of participating supermarkets (n = 12) in socially disadvantaged neighbourhoods. Data on psychological characteristics (food-related behaviours; price sensitivity; food decision styles; social cognitive factors; self-control) and grocery shopping characteristics (time spent in the supermarket; moment of the day; average supermarket visits; shopping at other retailers; supermarket proximity) were self-reported at baseline. These characteristics were tested for their moderating effects of the intervention on diet quality (scored 0-150) in linear mixed models. Results We included 162 participants from intervention supermarkets and 199 from control supermarkets (73% female, 58 (+ or - 10.8) years old, 42% highly educated). The interventions had no overall effect on diet quality. Only five out of 23 potential moderators were statistically significant. Yet, stratified analyses of these significant moderators showed no significant effects on diet quality for one of the subgroups and statistically non-significant negative effects for the other. Negative effects were suggested for individuals with lower baseline levels of meal planning (beta - 2.6, 95% CI - 5.9; 0.8), healthy shopping convenience (beta - 3.0, 95% CI - 7.2; 1.3), and healthy food attractiveness (beta - 3.5, 95% CI - 8.3; 1.3), and with higher levels of price consciousness (beta - 2.6, 95% CI - 6.2; 1.0) and weekly supermarket visits (beta - 2.4, 95% CI - 6.8; 1.9). Conclusions Adults with varying psychological and grocery shopping characteristics largely seem equally (un)susceptible to nudging and pricing strategies. It might be that certain characteristics lead to adverse effects, but this is not plausible, and the observed negative effects were small and statistically non-significant and may be explained by chance findings. Verification of these findings is needed in real-world trials based on larger sample sizes and with the use of more comprehensive interventions. Trial registration Dutch Trial Register ID NL7064, 30th of May, 2018, Keywords: Prevention, Food environment, Choice architecture, Public Health Nutrition, Grocery store
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