1
|
Smith KJ, Cleland V, Chappell K, Fraser B, Sutton L, Proudfoot F, Dunbabin J, Jose K. Are Cooked Nutritious School Lunches Associated with Improved Attendance? Findings from the 2022-2023 Tasmanian School Lunch Project. Nutrients 2024; 16:3393. [PMID: 39408360 PMCID: PMC11479181 DOI: 10.3390/nu16193393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 09/16/2024] [Accepted: 09/26/2024] [Indexed: 10/20/2024] Open
Abstract
Background/Objectives: During 2022-2023, the School Lunch Project (SLP) provided free nutritious cooked lunches 1-4 days per week to Kinder to Grade 10 students attending 30 schools in areas of high disadvantage in Tasmania, Australia. This analysis examined if the SLP was associated with student attendance. Methods: Staff (teachers, support staff, and principals) from 12 schools completed an online survey and/or participated in focus groups/interviews. Government-held, objectively measured, grade-level attendance data were provided for 17 SLP and 11 matched comparison schools for 2018-2023. Linear mixed models compared attendance on school lunch and non-school lunch days in SLP schools. Difference-in-difference regression compared attendance between SLP and comparison schools. Qualitative data were analysed thematically. Results: Sixty-five staff completed surveys, where 22% reported that increased attendance was a benefit of the SLP. Similar findings were observed in the staff focus groups/interviews (N = 51). Mean attendance was similar on school lunch and non-school lunch days among the SLP schools during 2022 (difference: 0.04, 95% CI: -0.5, 0.6) and 2023 (difference 0.1, 95% CI: -0.2, 0.4) and similar between SLP and comparison schools (average treatment effect in the treated: 1.2, 95% CI: -0.7, 3.0). Conclusions: The SLP was perceived by some staff to improve attendance but was not associated with objectively measured attendance examined at the grade level.
Collapse
Affiliation(s)
- Kylie J. Smith
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
| | - Verity Cleland
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
| | - Kate Chappell
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
| | - Brooklyn Fraser
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance, University of South Australia, Adelaide, SA 5000, Australia
| | - Laura Sutton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
| | - Fiona Proudfoot
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
| | | | - Kim Jose
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS 7000, Australia; (V.C.); (K.C.); (B.F.); (L.S.); (F.P.); (K.J.)
| |
Collapse
|
2
|
Delaney T, Jackson J, Lecathelinais C, Clinton-McHarg T, Lamont H, Yoong SL, Wolfenden L, Sutherland R, Wyse R. Long-Term Effectiveness of a Multi-Strategy Choice Architecture Intervention in Increasing Healthy Food Choices of High-School Students From Online Canteens (Click & Crunch High Schools): Cluster Randomized Controlled Trial. J Med Internet Res 2024; 26:e51108. [PMID: 38502177 PMCID: PMC10988364 DOI: 10.2196/51108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/01/2023] [Accepted: 01/30/2024] [Indexed: 03/20/2024] Open
Abstract
BACKGROUND School canteens are a recommended setting to influence adolescent nutrition due to their scope to improve student food choices. Online lunch ordering systems ("online canteens") are increasingly used and represent attractive infrastructure to implement choice architecture interventions that nudge users toward healthier food choices. A recent cluster randomized controlled trial demonstrated the short-term effectiveness (2-month follow-up) of a choice architecture intervention to increase the healthiness of foods purchased by high school students from online canteens. However, there is little evidence regarding the long-term effectiveness of choice architecture interventions targeting adolescent food purchases, particularly those delivered online. OBJECTIVE This study aimed to determine the long-term effectiveness of a multi-strategy choice architecture intervention embedded within online canteen infrastructure in high schools at a 15-month follow-up. METHODS A cluster randomized controlled trial was undertaken with 1331 students (from 9 high schools) in New South Wales, Australia. Schools were randomized to receive the automated choice architecture intervention (including menu labeling, positioning, feedback, and prompting strategies) or the control (standard online ordering). The foods purchased were classified according to the New South Wales Healthy Canteen strategy as either "everyday," "occasional," or "should not be sold." Primary outcomes were the average proportion of "everyday," "occasional," and "should not be sold" items purchased per student. Secondary outcomes were the mean energy, saturated fat, sugar, and sodium content of purchases. Outcomes were assessed using routine data collected by the online canteen. RESULTS From baseline to 15-month follow-up, on average, students in the intervention group ordered significantly more "everyday" items (+11.5%, 95% CI 7.3% to 15.6%; P<.001), and significantly fewer "occasional" (-5.4%, 95% CI -9.4% to -1.5%; P=.007) and "should not be sold" items (-6%, 95% CI -9.1% to -2.9%; P<.001), relative to controls. There were no between-group differences over time in the mean energy, saturated fat, sugar, or sodium content of lunch orders. CONCLUSIONS Given their longer-term effectiveness, choice architecture interventions delivered via online canteens may represent a promising option for policy makers to support healthy eating among high school students. TRIAL REGISTRATION Australian Clinical Trials ACTRN12620001338954, https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380546 ; Open Science Framework osf.io/h8zfr, https://osf.io/h8zfr/.
Collapse
Affiliation(s)
- Tessa Delaney
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Jacklyn Jackson
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Christophe Lecathelinais
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Tara Clinton-McHarg
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Hannah Lamont
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Sze Lin Yoong
- Faculty of Health, School of Health and Social Development, Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Melbourne, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Rebecca Wyse
- School of Medicine and Public Health, University of Newcastle, Wallsend, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
| |
Collapse
|
3
|
Manson AC, Johnson BJ, Wolfenden L, Sutherland R, Golley RK. Unpacking the cost of the lunchbox for Australian families: a secondary analysis. Health Promot Int 2024; 39:daad194. [PMID: 38198723 PMCID: PMC10781432 DOI: 10.1093/heapro/daad194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024] Open
Abstract
Ninety per cent of Australian school children bring a home-packed lunch to school, with 44% of the food consumed during school hours being unhealthy. Among other factors, cost is a key consideration for food provision; however, the costs to Australian families are not well understood. Therefore, we aimed to determine what families are currently paying for school lunchboxes in Australian primary schools and to examine associations between food costs and socio-demographic factors with dietary quality. An audit of local retail outlets was used to determine the food costs of lunchbox contents. Costs (AUD) were adjusted for inflation as of early 2023. The lunchboxes of 1026 children aged 4-12 years at 12 Catholic primary schools in New South Wales, Australia, were assessed at the start of the day, using photography assessment methods and a validated School Food Checklist. The mean cost of lunchbox contents was $4.48 AUD (SD 1.53), containing a mean energy of 2699 kJ (SD 859), with 37.3% (SD 23.9) of energy sourced from unhealthy foods. Multiple linear regression analyses found that the strongest predictors of higher lunchbox cost (P < 0.05) were a higher proportion of energy from unhealthy foods (B = 0.016) and lower Socio-Economic Indexes for Areas (B = -0.178), when controlling for child socio-demographics. The results indicated that lunchbox food costs to Australian families are comparable to alternative school food service models in Australia and internationally. Results demonstrate the cost of food is not the only barrier to providing a healthy school lunchbox. Demonstrating a need for cost-considerate systematic interventions addressing food provision challenges and socio-economic disparities faced by families.
Collapse
Affiliation(s)
- Alexandra C Manson
- Flinders University, College of Nursing and Health Sciences, Caring Futures Institute, Bedford Park, GPO Box 2100, Adelaide, SA 5001, Australia
| | - Brittany J Johnson
- Flinders University, College of Nursing and Health Sciences, Caring Futures Institute, Bedford Park, GPO Box 2100, Adelaide, SA 5001, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, NSW, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, NSW, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- National Centre of Implementation Science, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rebecca K Golley
- Flinders University, College of Nursing and Health Sciences, Caring Futures Institute, Bedford Park, GPO Box 2100, Adelaide, SA 5001, Australia
| |
Collapse
|
4
|
Hill A, Blake M, Alston LV, Nichols MS, Bell C, Fraser P, Le HN, Strugnell C, Allender S, Bolton KA. How healthy and affordable are foods and beverages sold in school canteens? A cross-sectional study comparing menus from Victorian primary schools. Public Health Nutr 2023; 26:2559-2572. [PMID: 37439210 DOI: 10.1017/s136898002300126x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2023]
Abstract
OBJECTIVE Government policy guidance in Victoria, Australia, encourages schools to provide affordable, healthy foods in canteens. This study analysed the healthiness and price of items available in canteens in Victorian primary schools and associations with school characteristics. DESIGN Dietitians classified menu items (main, snack and beverage) using the red, amber and green traffic light system defined in the Victorian government's School Canteens and Other School Food Services Policy. This system also included a black category for confectionary and high sugar content soft drinks which should not be supplied. Descriptive statistics and regressions were used to analyse differences in the healthiness and price of main meals, snacks and beverages offered, according to school remoteness, sector (government and Catholic/independent) size, and socio-economic position. SETTING State of Victoria, Australia. PARTICIPANTS A convenience sample of canteen menus drawn from three previous obesity prevention studies in forty-eight primary schools between 2016 and 2019. RESULTS On average, school canteen menus were 21 % 'green' (most healthy - everyday), 53 % 'amber' (select carefully), 25 % 'red' (occasional) and 2 % 'black' (banned) items, demonstrating low adherence with government guidelines. 'Black' items were more common in schools in regional population centres. 'Red' main meal items were cheaper than 'green'% (mean difference -$0·48 (95 % CI -0·85, -0·10)) and 'amber' -$0·91 (-1·27, -0·57)) main meal items. In about 50 % of schools, the mean price of 'red' main meal, beverages and snack items were cheaper than 'green' items, or no 'green' alternative items were offered. CONCLUSION In this sample of Victorian canteen menus, there was no evidence of associations of healthiness and pricing by school characteristics except for regional centres having the highest proportion of 'black' (banned) items compared with all other remoteness categories examined. There was low adherence with state canteen menu guidelines. Many schools offered a high proportion of 'red' food options and 'black' (banned) options, particularly in regional centres. Unhealthier options were cheaper than healthy options. More needs to be done to bring Victorian primary school canteen menus in line with guidelines.
Collapse
Affiliation(s)
- Amy Hill
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
| | - Miranda Blake
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
| | - Laura Veronica Alston
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
- Deakin Rural Health, Faculty of Health, Deakin University, Geelong3220, VIC, Australia
- Research Unit, Colac Area Health, Colac3250, VIC, Australia
| | - Melanie S Nichols
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
| | - Colin Bell
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
- GLOBE, Institute for Health Transformation, School of Medicine, Deakin University, Geelong3220, VIC, Australia
| | - Penny Fraser
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
- GLOBE, Institute for Health Transformation, School of Medicine, Deakin University, Geelong3220, VIC, Australia
| | - Ha Nd Le
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
| | - Claudia Strugnell
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
| | - Steven Allender
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
| | - Kristy A Bolton
- Global Centre for Preventive Health and Nutrition (GLOBE), Institute for Health Transformation, Deakin University, Geelong3220, VIC, Australia
- Institute for Physical Activity and Nutrition, Deakin University, Geelong3220, VIC, Australia
| |
Collapse
|
5
|
Exploratory analysis of a cluster randomized controlled trial of a multi-strategy intervention delivered via online canteens on improving the nutritional quality of primary school students' pre-ordered foods & drinks at recess. Appetite 2023; 185:106528. [PMID: 36907518 DOI: 10.1016/j.appet.2023.106528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/12/2023] [Accepted: 03/05/2023] [Indexed: 03/12/2023]
Abstract
School canteens are a recommended setting to deliver public health nutrition strategies given their wide reach, and frequent use by children. Online canteens, where users (i.e. students or their carers) pre-order and pay for food and drinks online, represent attractive systems to deliver strategies that encourage healthier food choices. There have been few studies exploring the efficacy of public health nutrition interventions in online food ordering environments. Therefore, this study aims to assess the efficacy of a multi-strategy intervention implemented in an online school canteen ordering system in reducing the energy, saturated fat, sugar, and sodium content of students' online recess orders (i.e. foods ordered during the mid-morning or afternoon snack period). This was an exploratory analysis of recess purchases for a cluster randomized controlled trial that initially sought to examine the efficacy of the intervention on lunch orders. A total of 314 students from 5 schools received the multi-strategy intervention (involving menu labelling, placement, prompting and availability) that was integrated into the online ordering system, and 171 students from 3 schools received the control (usual online ordering). Analysis of main outcomes found that the mean energy (difference: -269.3 kJ; P = 0.006), saturated fat (difference: -1.1 g; P = 0.011) and sodium (difference: -128.6 mg; P = 0.014) content per student recess order was significantly lower in the intervention group than the control group at 2-month follow-up. Findings suggest that embedding strategies to encourage healthier choices within online canteen ordering systems can improve the nutrient composition of student recess purchases. These results add to the current evidence base suggesting that interventions delivered via online food ordering systems represent an effective strategy for improving child public health nutrition in schools.
Collapse
|
6
|
Alkhunain N, Moore JB, Ensaff H. Online Pre-Order Systems for School Lunches: Insights from a Cross-Sectional Study in Primary Schools. Nutrients 2022; 14:nu14050951. [PMID: 35267926 PMCID: PMC8912561 DOI: 10.3390/nu14050951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/10/2022] [Accepted: 02/10/2022] [Indexed: 01/27/2023] Open
Abstract
Schools are increasingly using online pre-order systems for children to select school meals in advance. This study aimed to explore how children use and interact with these systems. Using a combination of direct observation and an online questionnaire, the operation of these systems in four UK primary schools was examined. This included how the menu options were displayed, how these were selected by children (4–11 years), and the interactions between children and others when making food selections. Where possible, most children pre-ordered their school lunch in the classroom, and differences in the food choice process among children were observed. These apparently related to children’s ages; older children (8–11 years) showed more independence when making food selections, whereas younger children were often supported by others. Most parents reported that their child was the decision maker when pre-ordering the school lunch, and the role of children in the selection of school lunches was evident. This may be accentuated by the online pre-order systems, and given the likely expansion of these systems in schools, there is an opportunity to implement interventions to influence children towards specific or different meal options from the school menu.
Collapse
Affiliation(s)
- Nahlah Alkhunain
- Nutritional Sciences and Epidemiology, School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK; (N.A.); (J.B.M.)
- Clinical Nutrition, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia
| | - Jennifer Bernadette Moore
- Nutritional Sciences and Epidemiology, School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK; (N.A.); (J.B.M.)
| | - Hannah Ensaff
- Nutritional Sciences and Epidemiology, School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK; (N.A.); (J.B.M.)
- Correspondence:
| |
Collapse
|
7
|
Stark AL, Geukes C, Dockweiler C. Digital Health Promotion and Prevention in Settings: Scoping Review. J Med Internet Res 2022; 24:e21063. [PMID: 35089140 PMCID: PMC8838600 DOI: 10.2196/21063] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/16/2020] [Accepted: 12/02/2021] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Digital technologies are increasingly integrating into people's daily living environments such as schools, sport clubs, and health care facilities. These settings play a crucial role for health promotion and prevention because they affect the health of their members, as the World Health Organization has declared. Implementing digital health promotion and prevention in settings offers the opportunity to reach specific target groups, lower the costs of implementation, and improve the health of the population. Currently, there is a lack of scientific evidence that reviews the research on digital health promotion and prevention in settings. OBJECTIVE This scoping review aims to provide an overview of research targeting digital health promotion and primary prevention in settings. It assesses the range of scientific literature regarding outcomes such as applied technology, targeted setting, and area of health promotion or prevention, as well as identifies research gaps. METHODS The scoping review was conducted following the Levac, Colquhoun, and O'Brien framework. We searched scientific databases and gray literature for articles on digital setting-based health promotion and prevention published from 2010 to January 2020. We included empirical and nonempirical publications in English or German and excluded secondary or tertiary prevention and health promotion at the workplace. RESULTS From 8888 records, the search resulted in 200 (2.25%) included publications. We identified a huge diversity of literature regarding digital setting-based health promotion and prevention. The variety of technology types extends from computer- and web-based programs to mobile devices (eg, smartphone apps) and telemonitoring devices (sensors). We found analog, digital, and blended settings in which digital health promotion and prevention takes place. The most frequent analog settings were schools (39/200, 19.5%) and neighborhoods or communities (24/200, 12%). Social media apps were also included because in some studies they were defined as a (digital) setting. They accounted for 31.5% (63/200) of the identified settings. The most commonly focused areas of health promotion and prevention were physical activity (81/200, 40.5%), nutrition (45/200, 22.5%), and sexual health (34/200, 17%). Most of the interventions combined several health promotion or prevention methods, including environmental change; providing information, social support, training, or incentives; and monitoring. Finally, we found that the articles mostly reported on behavioral rather than structural health promotion and prevention. CONCLUSIONS The research field of digital health promotion and prevention in settings is heterogeneous. At the same time, we identified research gaps regarding the absence of valid definitions of relevant terms (eg, digital settings) and the lack of literature on structural health promotion and prevention in settings. Therefore, it remains unclear how digital technologies can contribute to structural (or organizational) changes in settings. More research is needed to successfully implement digital technologies to achieve health promotion and prevention in settings.
Collapse
Affiliation(s)
- Anna Lea Stark
- School of Public Health, Centre for ePublic Health, Bielefeld University, Bielefeld, Germany
| | - Cornelia Geukes
- School of Public Health, Centre for ePublic Health, Bielefeld University, Bielefeld, Germany
| | | |
Collapse
|
8
|
Clinton-McHarg T, Delaney T, Lamont H, Lecathelinais C, Yoong SL, Wolfenden L, Sutherland R, Wyse R. A Cross-Sectional Study of the Nutritional Quality of New South Wales High School Student Food and Drink Purchases Made via an Online Canteen Ordering System. Nutrients 2021; 13:nu13124327. [PMID: 34959881 PMCID: PMC8706117 DOI: 10.3390/nu13124327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/18/2021] [Accepted: 11/28/2021] [Indexed: 11/20/2022] Open
Abstract
Unhealthy dietary patterns in adolescence are associated with an increased risk of future chronic disease. This study aimed to assess online canteen lunch purchases made by high school students to identify: (1) the nutrient composition of purchases (energy, saturated fat, sugar, sodium, percent energy from saturated fat and total sugar); (2) the proportion of items classified as healthier (‘Everyday’) and less healthy (‘Occasional’ or ‘Should not be sold’) according to the New South Wales Healthy Canteen Strategy; (3) the frequency of purchases by product type (e.g., salty snacks), their classification and nutrient composition; and (4) associations between student characteristics and the nutrient composition and classification of purchases. The average order contained 2075 kJ of energy, 6.4 g of saturated fat, 18.4 g of sugar and 795 mg of sodium. Less healthy (‘Occasional’ and ‘Should not be sold’) items combined accounted for 56% of purchases. The most frequently purchased products were burgers and crumbed/coated foods. Students in higher grades purchased a significantly higher mean percent of ‘Everyday’ items, compared to students in grades 7 or 8. The majority of high school student purchases were less healthy (‘Occasional’ or ‘Should not be sold’) items, warranting further investigation of factors influencing online canteen purchasing behaviour in this setting.
Collapse
Affiliation(s)
- Tara Clinton-McHarg
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Tessa Delaney
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Hannah Lamont
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Christophe Lecathelinais
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
- School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rebecca Wyse
- Hunter New England Population Health, Wallsend, NSW 2287, Australia; (T.C.-M.); (T.D.); (H.L.); (C.L.); (S.L.Y.); (L.W.); (R.S.)
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW 2300, Australia
- Priority Research Centre for Health Behavior, The University of Newcastle, Callaghan, NSW 2308, Australia
- Correspondence: ; Tel.: +61-2-4042-0272
| |
Collapse
|
9
|
Wyse R, Delaney T, Stacey F, Lecathelinais C, Ball K, Zoetemeyer R, Lamont H, Sutherland R, Nathan N, Wiggers JH, Wolfenden L. Long-term Effectiveness of a Multistrategy Behavioral Intervention to Increase the Nutritional Quality of Primary School Students' Online Lunch Orders: 18-Month Follow-up of the Click & Crunch Cluster Randomized Controlled Trial. J Med Internet Res 2021; 23:e31734. [PMID: 34847063 PMCID: PMC8669584 DOI: 10.2196/31734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/08/2021] [Accepted: 09/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background School food services, including cafeterias and canteens, are an ideal setting in which to improve child nutrition. Online canteen ordering systems are increasingly common and provide unique opportunities to deliver choice architecture strategies to nudge users to select healthier items. Despite evidence of short-term effectiveness, there is little evidence regarding the long-term effectiveness of choice architecture interventions, particularly those delivered online. Objective This study determined the long-term effectiveness of a multistrategy behavioral intervention (Click & Crunch) embedded within an existing online school lunch-ordering system on the energy, saturated fat, sugar, and sodium content of primary school students’ lunch orders 18 months after baseline. Methods This cluster randomized controlled trial (RCT) involved a cohort of 2207 students (aged 5-12 years) from 17 schools in New South Wales, Australia. Schools were randomized to receive either a multistrategy behavioral intervention or the control (usual online ordering only). The intervention strategies ran continuously for 14-16.5 months until the end of follow-up data collection. Trial primary outcomes (ie, mean total energy, saturated fat, sugar and sodium content of student online lunch orders) and secondary outcomes (ie, the proportion of online lunch order items that were categorized as everyday, occasional, and caution) were assessed over an 8-week period at baseline and 18-month follow-up. Results In all, 16 schools (94%) participated in the 18-month follow-up. Over time, from baseline to follow-up, relative to control orders, intervention orders had significantly lower energy (–74.1 kJ; 95% CI [–124.7, –23.4]; P=.006) and saturated fat (–0.4 g; 95% CI [–0.7, –0.1]; P=.003) but no significant differences in sugar or sodium content. Relative to control schools, the odds of purchasing everyday items increased significantly (odds ratio [OR] 1.2; 95% CI [1.1, 1.4]; P=.009, corresponding to a +3.8% change) and the odds of purchasing caution items significantly decreased among intervention schools (OR 0.7, 95% CI [0.6, 0.9]; P=.002, corresponding to a –2.6% change). There was no between-group difference over time in canteen revenue. Conclusions This is the first study to investigate the sustained effect of a choice architecture intervention delivered via an online canteen ordering systems in schools. The findings suggest that there are intervention effects up to 18-months postbaseline in terms of decreased energy and saturated fat content and changes in the relative proportions of healthy and unhealthy food purchased for student lunches. As such, this intervention approach may hold promise as a population health behavior change strategy within schools and may have implications for the use of online food-ordering systems more generally; however, more research is required. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12618000855224; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375075
Collapse
Affiliation(s)
- Rebecca Wyse
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - Tessa Delaney
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - Fiona Stacey
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - Christophe Lecathelinais
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - Kylie Ball
- Institute for Physical Activity and Nutrition, Deakin University, Melbourne, Australia
| | - Rachel Zoetemeyer
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
| | - Hannah Lamont
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - Nicole Nathan
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - John H Wiggers
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton, Australia
| |
Collapse
|
10
|
Wyse R, Delaney T, Stacey F, Zoetemeyer R, Lecathelinais C, Lamont H, Ball K, Campbell K, Rissel C, Attia J, Wiggers J, Yoong SL, Oldmeadow C, Sutherland R, Nathan N, Reilly K, Wolfenden L. Effectiveness of a Multistrategy Behavioral Intervention to Increase the Nutritional Quality of Primary School Students' Web-Based Canteen Lunch Orders (Click & Crunch): Cluster Randomized Controlled Trial. J Med Internet Res 2021; 23:e26054. [PMID: 34491207 PMCID: PMC8456336 DOI: 10.2196/26054] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 05/16/2021] [Accepted: 06/07/2021] [Indexed: 11/18/2022] Open
Abstract
Background School food outlets represent a key setting for public health nutrition intervention. The recent proliferation of web-based food ordering systems provides a unique opportunity to support healthy purchasing from schools. Embedding evidence-based choice architecture strategies within these routinely used systems provides the opportunity to impact the purchasing decisions of many users simultaneously and warrants investigation. Objective This study aims to assess the effectiveness of a multistrategy behavioral intervention implemented via a web-based school canteen lunch ordering system in reducing the energy, saturated fat, sugar, and sodium content of primary students’ web-based lunch orders. Methods The study used a parallel-group, cohort, cluster randomized controlled trial design with 2207 students from 17 Australian primary schools. Schools with a web-based canteen lunch ordering system were randomly assigned to receive either a multistrategy behavioral intervention that included choice architecture strategies embedded in the web-based system (n=9 schools) or the standard web-based ordering system only (n=8 control schools). Automatically collected student purchasing data at baseline (term 2, 2018) and 12 months later (term 2, 2019) were used to assess trial outcomes. Primary trial outcomes included the mean energy (kJ), saturated fat (g), sugar (g), and sodium (mg) content of student lunch orders. Secondary outcomes included the proportion of all web-based lunch order items classified as everyday, occasional, and caution (based on the New South Wales Healthy School Canteen Strategy) and canteen revenue. Results From baseline to follow-up, the intervention lunch orders had significantly lower energy content (−69.4 kJ, 95% CI −119.6 to −19.1; P=.01) and saturated fat content (−0.6 g, 95% CI −0.9 to −0.4; P<.001) than the control lunch orders, but they did not have significantly lower sugar or sodium content. There was also a small significant between-group difference in the percentage of energy from saturated fat (−0.9%, 95% CI −1.4% to −0.5%; P<.001) but not in the percentage of energy from sugar (+1.1%, 95% CI 0.2% to 1.9%; P=.02). Relative to control schools, intervention schools had significantly greater odds of having everyday items purchased (odds ratio [OR] 1.7, 95% CI 1.5-2.0; P<.001), corresponding to a 9.8% increase in everyday items, and lower odds of having occasional items purchased (OR 0.7, 95% CI 0.6-0.8; P<.001), corresponding to a 7.7% decrease in occasional items); however, there was no change in the odds of having caution (least healthy) items purchased (OR 0.8, 95% CI 0.7-1.0; P=.05). Furthermore, there was no change in schools’ revenue between groups. Conclusions Given the evidence of small statistically significant improvements in the energy and saturated fat content, acceptability, and wide reach, this intervention has the potential to influence dietary choices at a population level, and further research is warranted to determine its impact when implemented at scale. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12618000855224; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375075. International Registered Report Identifier (IRRID) RR2-10.1136/bmjopen-2019-030538
Collapse
Affiliation(s)
- Rebecca Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
| | - Tessa Delaney
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Fiona Stacey
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Rachel Zoetemeyer
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | | | - Hannah Lamont
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Kylie Ball
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Karen Campbell
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia
| | - Chris Rissel
- School of Public Health, University of Sydney, Sydney, Australia
| | - John Attia
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - John Wiggers
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | | | - Rachel Sutherland
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Nicole Nathan
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Kathryn Reilly
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, New South Wales, Australia
| |
Collapse
|
11
|
Stacey F, Delaney T, Ball K, Zoetemeyer R, Lecathelinais C, Wolfenden L, Seward K, Wyse R. A Cluster Randomized Controlled Trial Evaluating the Impact of Tailored Feedback on the Purchase of Healthier Foods from Primary School Online Canteens. Nutrients 2021; 13:2405. [PMID: 34371914 PMCID: PMC8308818 DOI: 10.3390/nu13072405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 11/16/2022] Open
Abstract
Few online food ordering systems provide tailored dietary feedback to consumers, despite suggested benefits. The study aim was to determine the effect of providing tailored feedback on the healthiness of students' lunch orders from a school canteen online ordering system. A cluster randomized controlled trial with ten government primary schools in New South Wales, Australia was conducted. Consenting schools that used an online canteen provider ('Flexischools') were randomized to either: a graph and prompt showing the proportion of 'everyday' foods selected or a standard online ordering system. Students with an online lunch order during baseline data collection were included (n = 2200 students; n = 7604 orders). Primary outcomes were the proportion of foods classified as 'everyday' or 'caution'. Secondary outcomes included: mean energy, saturated fat, sugar, and sodium content. There was no difference over time between groups on the proportion of 'everyday' (OR 0.99; p = 0.88) or 'caution' items purchased (OR 1.17; p = 0.45). There was a significant difference between groups for average energy content (mean difference 51 kJ; p-0.02), with both groups decreasing. There was no difference in the saturated fat, sugar, or sodium content. Tailored feedback did not impact the proportion of 'everyday' or 'caution' foods or the nutritional quality of online canteen orders. Future research should explore whether additional strategies and specific feedback formats can promote healthy purchasing decisions.
Collapse
Affiliation(s)
- Fiona Stacey
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Tessa Delaney
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Kylie Ball
- Institute for Physical Activity and Nutrition, Deakin University, Burwood, VIC 3125, Australia;
| | - Rachel Zoetemeyer
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Christophe Lecathelinais
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| | - Kirsty Seward
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rebecca Wyse
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW 2287, Australia; (T.D.); (R.Z.); (C.L.); (L.W.); (K.S.); (R.W.)
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
| |
Collapse
|
12
|
Petimar J, Zhang F, Rimm EB, Simon D, Cleveland LP, Gortmaker SL, Bleich SN, Polacsek M, Roberto CA, Block JP. Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment. PLoS Med 2021; 18:e1003714. [PMID: 34252088 PMCID: PMC8312920 DOI: 10.1371/journal.pmed.1003714] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 07/26/2021] [Accepted: 06/28/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Calorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus. METHODS AND FINDINGS We obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data. CONCLUSIONS In this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.
Collapse
Affiliation(s)
- Joshua Petimar
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Fang Zhang
- Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Denise Simon
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America
| | - Lauren P Cleveland
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America
| | - Steven L Gortmaker
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Sara N Bleich
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Michele Polacsek
- Westbrook College of Health Professions, University of New England, Portland, Maine, United States of America
| | - Christina A Roberto
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jason P Block
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, Massachusetts, United States of America
| |
Collapse
|
13
|
Wyse R, Jackson JK, Delaney T, Grady A, Stacey F, Wolfenden L, Barnes C, McLaughlin M, Yoong SL. The Effectiveness of Interventions Delivered Using Digital Food Environments to Encourage Healthy Food Choices: A Systematic Review and Meta-Analysis. Nutrients 2021; 13:2255. [PMID: 34208869 PMCID: PMC8308236 DOI: 10.3390/nu13072255] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/22/2021] [Accepted: 06/27/2021] [Indexed: 12/20/2022] Open
Abstract
Digital food environments are now commonplace across many food service and retail settings, influencing how the population orders and accesses foods. As such, digital food environments represent a novel platform to deliver strategies to improve public health nutrition. The purpose of this review was to explore the impact of dietary interventions embedded within online food ordering systems, on user selection and purchase of healthier foods and beverages. A systematic search of eight electronic databases and grey literature sources was conducted up to October 2020. Eligible studies were randomized controlled trials and controlled trials, designed to encourage the selection and purchase of healthier products and/or discourage the selection and purchase of less-healthy products using strategies delivered via real-world online food ordering systems. A total of 9441 articles underwent title and abstract screening, 140 full-text articles were assessed for eligibility, and 11 articles were included in the review. Meta-analysis of seven studies indicated that interventions delivered via online food ordering systems are effective in reducing the energy content of online food purchases (standardized mean difference (SMD): -0.34, p = 0.01). Meta-analyses including three studies each suggest that these interventions may also be effective in reducing the fat (SMD: -0.83, p = 0.04), saturated fat (SMD: -0.7, p = 0.008) and sodium content (SMD: -0.43, p = 0.01) of online food purchases. Given the ongoing growth in the use of online food ordering systems, future research to determine how we can best utilize these systems to support public health nutrition is warranted.
Collapse
Affiliation(s)
- Rebecca Wyse
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Jacklyn Kay Jackson
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
| | - Tessa Delaney
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Alice Grady
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Fiona Stacey
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Matthew McLaughlin
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; (J.K.J.); (T.D.); (A.G.); (F.S.); (L.W.); (C.B.); (M.M.); (S.L.Y.)
- Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Health Behaviour (PRCHB), University of Newcastle, Callaghan, NSW 2308, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW 2287, Australia
- School of Health Sciences, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
| |
Collapse
|
14
|
Sutherland R, Brown A, Nathan N, Yoong S, Janssen L, Chooi A, Hudson N, Wiggers J, Kerr N, Evans N, Gillham K, Oldmeadow C, Searles A, Reeves P, Davies M, Reilly K, Cohen B, Wolfenden L. A Multicomponent mHealth-Based Intervention (SWAP IT) to Decrease the Consumption of Discretionary Foods Packed in School Lunchboxes: Type I Effectiveness-Implementation Hybrid Cluster Randomized Controlled Trial. J Med Internet Res 2021; 23:e25256. [PMID: 34185013 PMCID: PMC8277365 DOI: 10.2196/25256] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 12/20/2020] [Accepted: 01/20/2021] [Indexed: 12/31/2022] Open
Abstract
Background There is significant opportunity to improve the nutritional quality of foods packed in children’s school lunchboxes. Interventions that are effective and scalable targeting the school and home environment are therefore warranted. Objective This study aimed to assess the effectiveness of a multicomponent, mobile health–based intervention, SWAP IT, in reducing the energy contribution of discretionary (ie, less healthy) foods and drinks packed for children to consume at school. Methods A type I effectiveness–implementation hybrid cluster randomized controlled trial was conducted in 32 primary schools located across 3 local health districts in New South Wales, Australia, to compare the effects of a 6-month intervention targeting foods packed in children’s lunchboxes with those of a usual care control. Primary schools were eligible if they were not participating in other nutrition studies and used the required school communication app. The Behaviour Change Wheel was used to co-design the multicomponent SWAP IT intervention, which consisted of the following: school lunchbox nutrition guidelines, curriculum lessons, information pushed to parents digitally via an existing school communication app, and additional parent resources to address common barriers to packing healthy lunchboxes. The primary outcome, mean energy (kilojoules) content of discretionary lunchbox foods and drinks packed in lunchboxes, was measured via observation using a validated school food checklist at baseline (May 2019) and at 6-month follow-up (October 2019). Additional secondary outcomes included mean lunchbox energy from discretionary foods consumed, mean total lunchbox energy packed and consumed, mean energy content of core lunchbox foods packed and consumed, and percentage of lunchbox energy from discretionary and core foods, all of which were also measured via observation using a validated school food checklist. Measures of school engagement, consumption of discretionary foods outside of school hours, and lunchbox cost were also collected at baseline and at 6-month follow-up. Data were analyzed via hierarchical linear regression models, with controlling for clustering, socioeconomic status, and remoteness. Results A total of 3022 (3022/7212, 41.90%) students consented to participate in the evaluation (mean age 7.8 years; 1487/3022, 49.22% girls). There were significant reductions between the intervention and control groups in the primary trial outcome, mean energy (kilojoules) content of discretionary foods packed in lunchboxes (–117.26 kJ; 95% CI –195.59 to –39.83; P=.003). Relative to the control, the intervention also significantly reduced secondary outcomes regarding the mean total lunchbox energy (kilojoules) packed (–88.38 kJ; 95% CI –172.84 to –3.92; P=.04) and consumed (–117.17 kJ; 95% CI –233.72 to –0.62; P=.05). There was no significant difference between groups in measures of student engagement, consumption of discretionary foods outside of school hours, or cost of foods packed in children’s lunchboxes. Conclusions The SWAP IT intervention was effective in reducing the energy content of foods packed for and consumed by primary school–aged children at school. Dissemination of the SWAP IT program at a population level has the potential to influence a significant proportion of primary school–aged children, impacting weight status and associated health care costs. Trial Registration Australian Clinical Trials Registry ACTRN12618001731280; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376191&isReview=true International Registered Report Identifier (IRRID) RR2-10.1186/s12889-019-7725-x
Collapse
Affiliation(s)
- Rachel Sutherland
- Hunter New England Population Health, Wallsend, Australia.,School of Medicine and Public Health, University of Newcastle, Callaghan, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Alison Brown
- Hunter New England Population Health, Wallsend, Australia
| | - Nicole Nathan
- Hunter New England Population Health, Wallsend, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Serene Yoong
- Hunter New England Population Health, Wallsend, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia.,Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia
| | - Lisa Janssen
- Hunter New England Population Health, Wallsend, Australia
| | - Amelia Chooi
- Hunter New England Population Health, Wallsend, Australia
| | - Nayerra Hudson
- Hunter New England Population Health, Wallsend, Australia
| | - John Wiggers
- Hunter New England Population Health, Wallsend, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Nicola Kerr
- Mid North Coast Local Health District, Port Macquarie, Australia
| | - Nicole Evans
- Central Coast Local Health District, Gosford, Australia
| | - Karen Gillham
- Hunter New England Population Health, Wallsend, Australia
| | | | - Andrew Searles
- Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Penny Reeves
- Hunter New England Population Health, Wallsend, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Marc Davies
- New South Wales Ministry of Health, Liverpool, Australia
| | - Kathryn Reilly
- Hunter New England Population Health, Wallsend, Australia.,Hunter Medical Research Institute, New Lambton Heights, Australia.,Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | | | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, Australia
| |
Collapse
|
15
|
Mandracchia F, Tarro L, Llauradó E, Valls RM, Solà R. Interventions to Promote Healthy Meals in Full-Service Restaurants and Canteens: A Systematic Review and Meta-Analysis. Nutrients 2021; 13:1350. [PMID: 33919552 PMCID: PMC8073122 DOI: 10.3390/nu13041350] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 11/16/2022] Open
Abstract
Out-of-home eating is increasing, but evidence about its healthiness is limited. The present systematic review and meta-analysis aimed to elucidate the effectiveness of full-service restaurant and canteen-based interventions in increasing the dietary intake, food availability, and food purchase of healthy meals. Studies from 2000-2020 were searched in Medline, Scopus, and Cochrane Library using the PRISMA checklist. A total of 35 randomized controlled trials (RCTs) and 6 non-RCTs were included in the systematic review and analyzed by outcome, intervention strategies, and settings (school, community, workplace). The meta-analysis included 16 RCTs (excluding non-RCTs for higher quality). For dietary intake, the included RCTs increased healthy foods (+0.20 servings/day; 0.12 to 0.29; p < 0.001) and decreased fat intake (-9.90 g/day; -12.61 to -7.19; p < 0.001), favoring the intervention group. For food availability, intervention schools reduced the risk of offering unhealthy menu items by 47% (RR 0.53; 0.34 to 0.85; p = 0.008). For food purchases, a systematic review showed that interventions could be partially effective in improving healthy foods. Lastly, restaurant- and canteen-based interventions improved the dietary intake of healthy foods, reduced fat intake, and increased the availability of healthy menus, mainly in schools. Higher-quality RCTs are needed to strengthen the results. Moreover, from our results, intervention strategy recommendations are provided.
Collapse
Affiliation(s)
- Floriana Mandracchia
- Functional Nutrition, Oxidation, and Cardiovascular Diseases Group (NFOC-Salut), Healthy Environment Chair, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, 43201 Reus, Spain; (F.M.); (L.T.); (R.M.V.); (R.S.)
| | - Lucia Tarro
- Functional Nutrition, Oxidation, and Cardiovascular Diseases Group (NFOC-Salut), Healthy Environment Chair, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, 43201 Reus, Spain; (F.M.); (L.T.); (R.M.V.); (R.S.)
- Institut d’Investigació Sanitaria Pere Virgili, 43204 Reus, Spain
| | - Elisabet Llauradó
- Functional Nutrition, Oxidation, and Cardiovascular Diseases Group (NFOC-Salut), Healthy Environment Chair, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, 43201 Reus, Spain; (F.M.); (L.T.); (R.M.V.); (R.S.)
| | - Rosa Maria Valls
- Functional Nutrition, Oxidation, and Cardiovascular Diseases Group (NFOC-Salut), Healthy Environment Chair, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, 43201 Reus, Spain; (F.M.); (L.T.); (R.M.V.); (R.S.)
| | - Rosa Solà
- Functional Nutrition, Oxidation, and Cardiovascular Diseases Group (NFOC-Salut), Healthy Environment Chair, Facultat de Medicina i Ciències de la Salut, Universitat Rovira i Virgili, 43201 Reus, Spain; (F.M.); (L.T.); (R.M.V.); (R.S.)
- Institut d’Investigació Sanitaria Pere Virgili, 43204 Reus, Spain
- Hospital Universitari Sant Joan de Reus, 43204 Reus, Spain
| |
Collapse
|
16
|
Wankasi HI, Sehularo LA, Rakhudu MA. Dissemination and implementation of a policy on school health in public schools: A systematic review. Curationis 2020; 43:e1-e10. [PMID: 33314955 PMCID: PMC7736675 DOI: 10.4102/curationis.v43i1.2110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 08/31/2020] [Accepted: 09/15/2020] [Indexed: 11/02/2022] Open
Abstract
BACKGROUND The need to achieve school health and promote well-being that would transcend children's school life has been highlighted in several studies. Promotion of health and well-being of children has not been achieved despite the prescripts of the World Health Organization and national mandates. OBJECTIVES The purpose of this systematic review was to explore and describe the current evidence on the dissemination and implementation of a policy on school health in public schools. METHODS Five steps of a systematic review were used to achieve the purpose of the study. The steps include framing a clear review question, developing a search approach through gathering and classifying evidence, conducting a critical appraisal, evidence summary as well as the results. Ebscohost, SAE publications, Web of Science and JSTOR databases were used to identify articles written between 2013 and 2018 and to enable access to current studies on the promotion of school health. Keywords included the following: dissemination; implementation; school health policy; and public schools. The search yielded n = 1995 articles. From this figure, 1976 articles were ineligible and only 19 articles met the inclusion criteria. RESULTS Seven themes emerged from the findings of this systematic review as follows: shared information, training and development of key role-players, programme development and research, commitment from key role-players, monitoring activities, executive support and collaborative partnerships. CONCLUSION The findings show that it is possible for a policy on school health to be disseminated and implemented effectively in public schools.
Collapse
Affiliation(s)
- Helen I Wankasi
- School of Nursing Science, Faculty of Health Sciences, North-West University, Mmabatho.
| | | | | |
Collapse
|
17
|
Grady A, Barnes C, Wolfenden L, Lecathelinais C, Yoong SL. Barriers and Enablers to Adoption of Digital Health Interventions to Support the Implementation of Dietary Guidelines in Early Childhood Education and Care: Cross-Sectional Study. J Med Internet Res 2020; 22:e22036. [PMID: 33216005 PMCID: PMC7718087 DOI: 10.2196/22036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/25/2020] [Accepted: 10/29/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Few Australian childcare centers provide foods consistent with sector dietary guidelines. Digital health technologies are a promising medium to improve the implementation of evidence-based guidelines in the setting. Despite being widely accessible, the population-level impact of such technologies has been limited due to the lack of adoption by end users. OBJECTIVE This study aimed to assess in a national sample of Australian childcare centers (1) intentions to adopt digital health interventions to support the implementation of dietary guidelines, (2) reported barriers and enablers to the adoption of digital health interventions in the setting, and (3) barriers and enablers associated with high intentions to adopt digital health interventions. METHODS A cross-sectional telephone or online survey was undertaken with 407 childcare centers randomly sampled from a publicly available national register in 2018. Center intentions to adopt new digital health interventions to support dietary guideline implementation in the sector were assessed, in addition to perceived individual, organizational, and contextual factors that may influence adoption based on seven subdomains within the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) of health and care technologies framework. A multiple-variable linear model was used to identify factors associated with high intentions to adopt digital health interventions. RESULTS Findings indicate that 58.9% (229/389) of childcare centers have high intentions to adopt a digital health intervention to support guideline implementation. The changes needed in team interactions subdomain scored lowest, which is indicative of a potential barrier (mean 3.52, SD 1.30), with organization's capacity to innovate scoring highest, which is indicative of a potential enabler (mean 5.25, SD 1.00). The two NASSS subdomains of ease of the adoption decision (P<.001) and identifying work and individuals involved in implementation (P=.001) were significantly associated with high intentions to adopt digital health interventions. CONCLUSIONS A substantial proportion of Australian childcare centers have high intentions to adopt new digital health interventions to support dietary guideline implementation. Given evidence of the effectiveness of digital health interventions, these findings suggest that such an intervention may make an important contribution to improving public health nutrition in early childhood.
Collapse
Affiliation(s)
- Alice Grady
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| | | | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Population Health, Hunter New England Local Health District, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
| |
Collapse
|
18
|
Barnes C, Grady A, Nathan N, Wolfenden L, Pond N, McFayden T, Ward DS, Vaughn AE, Yoong SL. A pilot randomised controlled trial of a web-based implementation intervention to increase child intake of fruit and vegetables within childcare centres. Pilot Feasibility Stud 2020; 6:163. [PMID: 33292720 PMCID: PMC7597048 DOI: 10.1186/s40814-020-00707-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 10/16/2020] [Indexed: 12/03/2022] Open
Abstract
Background As dietary behaviours developed during early childhood are known to track into adulthood, interventions that aim to improve child nutrition at a population level are recommended. Whilst early childhood education and care (ECEC) is a promising setting for interventions targeting children’s nutrition behaviours, previous interventions have largely used high intensity, face-to-face approaches, limiting their reach, implementation and potential impact at a population level. Web-based modalities represent a promising means of supporting the delivery of childcare-based interventions whilst overcoming challenges of previous approaches; however, the feasibility of using such modalities to support implementation is largely unknown. As such, this study sought to collect feasibility and pilot data to inform the design of a web-based intervention together with health promotion officer support within childcare centres. Child dietary intake will also be assessed to provide an estimate of the impact of the implementation intervention. Methods A superiority cluster randomised controlled trial with repeat cross-sectional data collection employing an effectiveness-implementation type-II hybrid design will be conducted with childcare centres within the Hunter New England region of New South Wales, Australia. Type-II hybrid designs provide the opportunity to assess intervention efficacy whilst piloting the feasibility of the implementation strategies. Centres allocated to the intervention group will receive access to a web-based program together with health promotion officer support to implement targeted healthy eating practices to improve child diet in care. A number of outcomes will be assessed to inform the feasibility to conduct a larger trial, including childcare centre and parent recruitment and consent rates for each component of data collection, uptake of the implementation strategies, acceptability of the intervention and implementation strategies, appropriateness of the implementation strategies and the contextual factors influencing implementation. Discussion This study will provide high-quality evidence regarding the potential feasibility of a web-based intervention and the impact of healthy eating practices on child diet in care. Web-based modalities provide a promising approach for population-wide implementation support to childcare centres given their potential reach and consistency with existing infrastructure. Trial registration Prospectively registered with Australian New Zealand Clinical Trial Registry (ACTRN12619001158156). Supplementary Information Supplementary information accompanies this paper at 10.1186/s40814-020-00707-w.
Collapse
Affiliation(s)
- Courtney Barnes
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia. .,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia. .,Hunter Medical Research Institute, New Lambton, Australia. .,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia.
| | - Alice Grady
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia
| | - Nicole Nathan
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia
| | - Nicole Pond
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia
| | - Tameka McFayden
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia
| | - Dianne S Ward
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill, NC, USA
| | - Amber E Vaughn
- Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill, NC, USA
| | - Sze Lin Yoong
- Hunter New England Population Health, Locked Bag 10, Wallsend, NSW, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia.,Hunter Medical Research Institute, New Lambton, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, Australia
| |
Collapse
|
19
|
Metcalfe JJ, Ellison B, Hamdi N, Richardson R, Prescott MP. A systematic review of school meal nudge interventions to improve youth food behaviors. Int J Behav Nutr Phys Act 2020; 17:77. [PMID: 32560731 PMCID: PMC7304192 DOI: 10.1186/s12966-020-00983-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 06/09/2020] [Indexed: 11/23/2022] Open
Abstract
Background School meal programs have a large reach and thus are ideal environments in which to implement interventions targeting improved youth eating behaviors and reduced food waste. This systematic review summarizes the evidence on the effectiveness of school meal nudge interventions on influencing children’s eating and waste behaviors. Methods Inclusion criteria required studies have participants in primary or secondary school (grades K-12) with interventions that occurred during school lunch or breakfast in the cafeteria and included at least one of the following outcomes: selection, consumption, waste, or school meal participation. Analyses of intervention outcomes were restricted to studies of strong and moderate quality. Results Twenty-nine studies were included in the quality assessment. Included interventions fell into three categories: 1) placement/convenience, 2) marketing/promotion, or 3) variety/portions. The 20 strong and moderate quality studies included in outcome analyses generally used strong data collection methods and study designs, but were limited by an overall lack of intervention fidelity checks. Multi-component interventions often did not use methods that allowed for separate analyses of outcomes for different intervention components. Conclusions School meal nudge interventions were positively associated with food selection, and had an inconsistent relationship with food consumption. There were few studies evaluating the impact of nudge interventions on meal participation or food waste. The limited evidence available links nudges to improved meal participation, as well as undesirable increases in food waste. Future research in this area should use methods that incorporate implementation metrics, attend to systems factors, and allow the outcomes of individual intervention components to be isolated.
Collapse
Affiliation(s)
- Jessica Jarick Metcalfe
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 South Goodwin Avenue, Urbana, IL, 61801, USA
| | - Brenna Ellison
- Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, 1301 West Gregory Drive, Urbana, IL, 61801, USA
| | - Nader Hamdi
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 South Goodwin Avenue, Urbana, IL, 61801, USA
| | - Rachel Richardson
- Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, 1301 West Gregory Drive, Urbana, IL, 61801, USA
| | - Melissa Pflugh Prescott
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, 905 South Goodwin Avenue, Urbana, IL, 61801, USA.
| |
Collapse
|
20
|
Implementation of a Multi-Component School Lunch Environmental Change Intervention to Improve Child Fruit and Vegetable Intake: A Mixed-Methods Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17113971. [PMID: 32503325 PMCID: PMC7312556 DOI: 10.3390/ijerph17113971] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 05/24/2020] [Accepted: 06/01/2020] [Indexed: 11/23/2022]
Abstract
Nudge interventions are widely used to promote health in schools, yet implementation metrics are seldom used to understand intervention outcomes. A multi-component intervention consisting of cafeteria decorations, creative names, social norming taste tests, and flavor station components was implemented in three rural elementary school cafeterias by school nutrition services (SNS) and extension staff. Selection and consumption of fruits and vegetables at lunch were measured through monthly plate waste assessments over eight months (n = 1255 trays). Interviews were conducted with SNS staff (n = 3) upon completion of the intervention to assess implementation outcomes using validated acceptability and feasibility metrics. Consumption findings were generally inconsistent across schools and time points, yet fruit consumption increased at School 1 (p < 0.05) during the taste test and flavor station intervention months and School 2 (p < 0.001) during the creative names intervention months compared to baseline. Odds of selecting a vegetable at School 3 were three times higher than baseline during the taste test intervention months (odds ratio (OR), 3.0; 95% confidence interval (CI), 1.3–6.5). Cafeteria decorations and taste tests had higher reported implementation metrics for acceptability and feasibility than other interventions. Thematic analysis underscored the facilitating role of extension support, as well as systems factors, which served as facilitators and barriers across schools and interventions. These findings suggest that nudge interventions are a promising strategy to improve vegetable selection and fruit consumption in school meal programs.
Collapse
|
21
|
Wyse R, Delaney T, Gibbins P, Ball K, Campbell K, Yoong SL, Seward K, Zoetemeyer R, Rissel C, Wiggers J, Attia J, Oldmeadow C, Sutherland R, Nathan N, Reilly K, Reeves P, Wolfenden L. Cluster randomised controlled trial of an online intervention to improve healthy food purchases from primary school canteens: a study protocol of the 'click & crunch' trial. BMJ Open 2019; 9:e030538. [PMID: 31492788 PMCID: PMC6731886 DOI: 10.1136/bmjopen-2019-030538] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 06/10/2019] [Accepted: 07/05/2019] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION School canteens are the most frequently accessed take-away food outlet by Australian children. The rapid development of online lunch ordering systems for school canteens presents new opportunities to deliver novel public health nutrition interventions to school-aged children. This study aims to assess the effectiveness and cost-effectiveness of a behavioural intervention in reducing the energy, saturated fat, sugar and sodium content of online canteen lunch orders for primary school children. METHODS AND ANALYSIS The study will employ a cluster randomised controlled trial design. Twenty-six primary schools in New South Wales, Australia, that have an existing online canteen ordering system will be randomised to receive either a multi-strategy behavioural intervention or a control (the standard online canteen ordering system). The intervention will be integrated into the existing online canteen system and will seek to encourage the purchase of healthier food and drinks for school lunch orders (ie, items lower in energy, saturated fat, sugar and sodium). The behavioural intervention will use evidence-based choice architecture strategies to redesign the online menu and ordering system including: menu labelling, placement, prompting and provision of feedback and incentives. The primary trial outcomes will be the mean energy (kilojoules), saturated fat (grams), sugar (grams) and sodium (milligrams) content of lunch orders placed via the online system, and will be assessed 12 months after baseline data collection. ETHICS AND DISSEMINATION The study was approved by the ethics committees of the University of Newcastle (H-2017-0402) and the New South Wales Department of Education and Communities (SERAP 2018065), and the Catholic Education Office Dioceses of Sydney, Parramatta, Lismore, Maitland-Newcastle, Bathurst, Canberra-Goulburn, Wollongong, Wagga Wagga and Wilcannia-Forbes. Study results will be disseminated through peer-reviewed publications, reports, presentations at relevant national and international conferences and via briefings to key stakeholders. Results will be used to inform future implementation of public health nutrition interventions through school canteens, and may be transferable to other food settings or online systems for ordering food. TRIAL REGISTRATION NUMBER ACTRN12618000855224.
Collapse
Affiliation(s)
- Rebecca Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Tessa Delaney
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Pennie Gibbins
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Kylie Ball
- School of Exercise & Nutrition Science, Deakin University, Burwood, Victoria, Australia
| | - Karen Campbell
- School of Exercise & Nutrition Science, Deakin University, Burwood, Victoria, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Kirsty Seward
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Rachel Zoetemeyer
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Chris Rissel
- New South Wales Office of Preventive Health, Liverpool, New South Wales, Australia
- School of Public Health, University of Sydney, Sydney, New South Wales, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - John Attia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Chris Oldmeadow
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Nicole Nathan
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Kathryn Reilly
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| | - Penny Reeves
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Health Research Economics, Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- Priority Research Centre - Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Unit, New Lambton, New South Wales, Australia
| |
Collapse
|
22
|
Pond N, Finch M, Sutherland R, Wolfenden L, Nathan N, Kingsland M, Grady A, Gillham K, Herrmann V, Yoong SL. Cluster randomised controlled trial of an m-health intervention in centre-based childcare services to reduce the packing of discretionary foods in children's lunchboxes: study protocol for the 'SWAP IT Childcare' trial. BMJ Open 2019; 9:e026829. [PMID: 31154306 PMCID: PMC6549630 DOI: 10.1136/bmjopen-2018-026829] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION In many developed nations, including Australia, a substantial number of children aged under 5 years attend centre-based childcare services that require parents to pack food in lunchboxes. These lunchboxes often contain excessive amounts of unhealthy ('discretionary') foods. This study aims to assess the impact of a mobile health (m-health) intervention on reducing the packing of discretionary foods in children's childcare lunchboxes. METHODS AND ANALYSIS A cluster randomised controlled trial will be undertaken with parents from 18 centre-based childcare services in the Hunter New England region of New South Wales, Australia. Services will be randomised to receive either a 4-month m-health intervention called 'SWAP IT Childcare' or usual care. The development of the intervention was informed by the Behaviour Change Wheel model and will consist primarily of the provision of targeted information, lunchbox food guidelines and website links addressing parent barriers to packing healthy lunchboxes delivered through push notifications via an existing app used by childcare services to communicate with parents and carers. The primary outcomes of the trial will be energy (kilojoules) from discretionary foods packed in lunchboxes and the total energy (kilojoules), saturated fat (grams), total and added sugars (grams) and sodium (milligrams) from all foods packed in lunchboxes. Outcomes will be assessed by weighing and photographing all lunchbox food items at baseline and at the end of the intervention. ETHICS AND DISSEMINATION The study was approved by the Hunter New England Local Health District Human Ethics Committee (06/07/26/4.04) and ratified by the University of Newcastle, Human Research Ethics Committee (H-2008-0343). Evaluation and process data collected as part of the study will be disseminated in peer-reviewed publications and local, national and international presentations and will form part of PhD student theses. TRIAL REGISTRATION NUMBER ACTRN12618000133235; Pre-results.
Collapse
Affiliation(s)
- Nicole Pond
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Meghan Finch
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
| | - Rachel Sutherland
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Luke Wolfenden
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Nicole Nathan
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Melanie Kingsland
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Alice Grady
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Karen Gillham
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Vanessa Herrmann
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
| | - Sze Lin Yoong
- Population Health Unit, Hunter New England Local Health District, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| |
Collapse
|