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To describe characteristics of self-identified popular diet followers and compare mean BMI across these diets, stratified by time following diet.
Design:
Cross-sectional, web-based survey administered in 2015.
Setting:
Non-localised, international survey.
Participants:
Self-selected followers of popular diets (n 9019) were recruited to the survey via social media and email announcements by diet community leaders, categorised into eight major diet groups.
Results:
General linear models were used to compare mean BMI among (1) short-term (<1 year) and long-term (≥1 year) followers within diet groups and (2) those identifying as ‘try to eat healthy’ (TTEH) to all other diet groups, stratified by time following the specific diet. Participants were 82 % female, 93 % White and 96 % non-Hispanic. Geometric mean BMI was lower (P < 0·05 for all) among longer-term followers (≥1 year) of whole food, plant-based (WFPB), vegan, whole food and low-carb diets compared with shorter-term followers. Among those following their diet for 1–5 years (n 4067), geometric mean BMI (kg/m2) were lower (P < 0·05 for all) for all groups compared with TTEH (26·4 kg/m2): WFPB (23·2 kg/m2), vegan (23·5 kg/m2), Paleo (24·6 kg/m2), vegetarian (25·0 kg/m2), whole food (24·6 kg/m2), Weston A. Price (23·5 kg/m2) and low-carb (24·7 kg/m2).
Conclusion:
Our findings suggest that BMI is lower among individuals who made active decisions to adhere to a specific diet, particularly more plant-based diets and/or diets limiting highly processed foods, compared with those who simply TTEH. BMI is also lower among individuals who follow intentional eating plans for longer time periods.
To assess the feasibility and efficacy of in-restaurant interventions aiming to promote healthy choices via fundraising incentives benefiting school wellness programmes and point-of-purchase nutrition promotion.
Design:
Twelve schools were randomly assigned to one of the two intervention periods: Fundraising Incentive (FI) donated funds for visiting the study restaurant and Fundraising-Healthy Eating Incentive (F-HEI) included FI with additional funds given when selecting a healthier item. Both conditions included point-of-purchase nutrition promotions. Families were recruited to attend their designated intervention and complete a survey. Feasibility was assessed based on recruitment and participation, implementation fidelity and intervention acceptability. Efficacy was assessed by comparing participant receipts between intervention periods and by comparing overall restaurant sales during intervention v. two no-intervention time frames.
Setting:
Fast-casual restaurant in Southern California.
Participants:
Parents with children attending participating schools.
Results:
Eighty-one families visited the restaurant during the intervention, with sixty-six completing surveys. All study activities were implemented successfully, but school family participation in the intervention was low (0·95 %). Among participants completing surveys, all indicated satisfaction with the programme. The percentage of healthier items ordered was significantly greater during both FI (χ2 = 5·97, P = 0·01) and F-HEI (χ2 = 8·84, P = 0·003) v. Comparison 2. Results were similar but did not reach statistical significance when comparing the interventions to Comparison 1.
Conclusions:
Results support potential efficacy of this programme, but more research is needed to inform feasibility. Fidelity and acceptability data supported feasibility, but participation rates were low in this initial study. Methods evaluating this intervention with a greater proportion of parents should be considered.
To examine the frequency of shopping at different food sources and the associations between shopping at different food sources and fruit and vegetable (FV) intake among upstate New York rural residents.
Design:
Cross-sectional study. Descriptive statistics and linear mixed models were used.
Setting:
Eighty-two rural communities in upstate New York, USA.
Participants:
Adults (n 465; 82·3 % female, mean age 51·5 years, mean BMI 31·7 kg/m2).
Results:
Within one’s community, the majority of participants reported often going to supermarkets (73·1 %). Many participants sometimes or occasionally shopped at superstores (48·0 %), convenience stores (57·9 %), small grocery stores or local markets (57·2 %), farmers’ markets or FV stores (66·6 %), dollar stores (51·5 %), pharmacies (46·0 %), or farm stands or community-supported agriculture (56·8 %). Most participants had never utilized food banks or food pantries (94·0 %), community gardens (92·7 %) or home food delivery (91·9 %). While frequent visits to farmers’ markets or farm stands were associated with higher fruit intake (P < 0·001), frequent visits to food co-ops or food hubs were associated with lower fruit intake (P = 0·004). Frequent visits to convenience stores (P = 0·002) and dollar stores (P = 0·004) were associated with lower vegetable intake. When FV intakes were combined, frequent visits to farmers’ markets or farm stands (P < 0·001) were associated with higher FV intake, and frequent visits to convenience stores (P = 0·005) were associated with lower FV intake.
Conclusions:
Findings from the present study provide important insight for informing future food environment interventions related to helping rural residents consume adequate FV.
To understand perspectives of stakeholders during initial district-wide implementation of a Breakfast in the Classroom (BIC) model of the School Breakfast Program.
Design
Qualitative data were collected from twenty-nine focus groups and twenty interviews with stakeholders in a school district early in the process of implementing a BIC model of the School Breakfast Program.
Setting
Ten elementary schools within a large, urban school district in the USA that served predominantly low-income, racial/ethnic minority students.
Subjects
Purposively selected stakeholders in elementary schools that had implemented BIC for 3–6 months: students (n 85), parents/guardians (n 86), classroom teachers (n 44), cafeteria managers (n 10) and principals (n 10).
Results
Four primary themes emerged, which were interpreted based on the Diffusion of Innovations model. School staff had changed their perceptions of both the relative disadvantages and costs related to time and effort of BIC over time; the majority of each stakeholder group expressed an appreciation for BIC; student breakfast consumption varied from day to day, related to compatibility of foods with child preferences; and stakeholders held mixed and various impressions of BIC’s potential impacts.
Conclusions
The study underscores the importance of engaging school staff and parents in discussions of BIC programming prior to its initiation to pre-emptively address concerns related to cost, relative disadvantages and compatibility with child preferences and school routines/workflow. Effectively communicating with stakeholders about positive impacts and nutritional value of the meals may improve support for BIC. These findings provide new information to policy makers, districts and practitioners that can be used to improve implementation efforts, model delivery and outcomes.
To assess whether a Smarter Lunchroom intervention based on behavioural economics and adapted for students with intellectual and developmental disabilities would increase the selection and consumption of fruits, vegetables and whole grains, and reduce the selection and consumption of refined grains.
Design
The 3-month intervention took place at a residential school between March and June 2012. The evaluation employed a quasi-experimental, pre–post design comparing five matched days of dietary data. Selection and plate waste of foods at lunch were assessed using digital photography. Consumption was estimated from plate waste.
Setting
Massachusetts, USA.
Subjects
Students (n 43) aged 11–22 years with intellectual and developmental disabilities attending a residential school.
Results
Daily selection of whole grains increased by a mean of 0·44 servings (baseline 1·62 servings, P = 0·005) and refined grains decreased by a mean of 0·33 servings (baseline 0·82 servings, P = 0·005). The daily consumption of fruits increased by a mean of 0·18 servings (baseline 0·39 servings, P = 0·008), whole grains increased by 0·38 servings (baseline 1·44 servings, P = 0·008) and refined grains decreased by a mean of 0·31 servings (baseline 0·68 servings, P = 0·004). Total kilojoules and total gram weight of food selected and consumed were unchanged. Fruit (P = 0·04) and vegetable (P = 0·03) plate waste decreased.
Conclusions
A Smarter Lunchroom intervention significantly increased whole grain selection and consumption, reduced refined grain selection and consumption, increased fruit consumption, and reduced fruit and vegetable plate waste. Nudge approaches may be effective for improving the food selection and consumption habits of adolescents and young adults with intellectual and developmental disabilities.
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