| Literature DB >> 32138232 |
Siobhan O'Halloran1, Gabriel Eksteen2, Mekdes Gebremariam1, Laura Alston3,4.
Abstract
Children consume approximately half of their total daily amount of energy at school. Foods consumed are often energy-dense, nutrient-poor. The school food environment represents an effective setting to influence children's food choices when dietary habits are established and continue to track into adulthood. The aim of this review was to: (1) group methods used for assessing the school food environment according to four food environment dimensions: Physical, economic, socio-cultural and policy and (2) assess the quality of the methods according to four criteria: Comprehensiveness, relevance, generalizability and feasibility. Three databases were searched, and studies were used to assess food and beverages provided at school canteens, tuck shops or cafeterias were included. The review identified 38 global studies (including 49 methods of measuring the food environment). The physical environment was the primary focus for 47% of articles, aspects of policy environment was assessed by 37% articles and a small number of studies assessed the economic (8%) and socio cultural (8%) environment. Three methods were rated 'high' quality and seven methods received 'medium' quality ratings. The review revealed there are no standardized methods used to measure the school food environment. Robust methods to monitor the school food environment across a range of diverse country contexts is required to provide an understanding of obesogenic school environments.Entities:
Keywords: INFORMAS; cafeterias; canteens; diet; measurement methods; obesity; school food environment; tuck shops
Year: 2020 PMID: 32138232 PMCID: PMC7084932 DOI: 10.3390/ijerph17051623
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Summary of the literature search process.
The four environmental dimensions used to group the food environment measurement methods (adapted from Swinburn et al. [33]).
| Dimensions | Description |
|---|---|
| The physical environment (what was available?) | Purpose built canteens, inadequate facilities, no facilities. Food items available in the canteen recorded, frequency of sale |
| The economic environment (what were the financial factors?) | Food service ran for profit, contracted out to a private business or ran for not-for-profit. Price of healthy and unhealthy food items recorded, children’s spending restriction, product placement and price of items sold in the canteen. |
| The socio-cultural environment (what were the attitudes and perceptions?) | Who are the people responsible for canteen—nutrition knowledge/training. |
| The policy environment (what were the rules?) | Does the school have a food policy that specified the types of food and drinks and promotion and pricing of products in canteens? |
Summary of identified studies measuring the school food environment.
| Author | Study Country | Objective of the Study | Setting | Dimension of Food Environment Measured | Description of Methods (Menu Analysis, Questionnaires) | Limitations/Strengths of Design and Methods Food Environment Measures Used | Overall Quality of Method Used to Measure Food Environment |
|---|---|---|---|---|---|---|---|
| Ardzejewska et al., 2012 [ | Australia | To investigate the barriers and facilitators to, and the extent of the implementation of, the New South Wales (Australia) ‘Healthy School Canteen Strategy’ | Two primary and two secondary government schools from a low socio-economic region in Sydney, New South Wales (NSW), Australia | Physical and policy | The existence of implementation of the New South Wales ‘Healthy School Canteen Strategy’ was measured through both a quantitative audit and qualitative interviews | Quantitative audit (observational cross-sectional survey—self report bias) Qualitative interviews face-to-face semi-structured interviews provided rich data, and context specific Validity and reliability not tested | L |
| Beets at al., 2016 [ | USA | To assess compliance with internal healthy eating standards | YMCA-operated After school program children aged 5–12 years | Policy, economic and sociocultural | Direct observation of food provision and staff behavior | Direct observation from researchers a strength of the study along with survey methods | M |
| Bekker et al., 2017 [ | South Africa | To investigate tuck shop buying behavior, choices of lunchbox items and healthy eating perceptions and attitudes at two schools | Grade 2 to 7 students from a school with a nutritionally regulated tuck shop and a school with a conventional tuck shop. Bloemfontein, South Africa | Physical, economic | Self-administered questionnaire on money spent, foods purchased, lunchboxes, likes, attitudes Focus group discussions based on discussion guide on perceptions, attitudes and behaviors | Self-reported bias with student’s questionnaire. Content validity of questionnaire tested with teachers and dietitians. Face validity determined by study researcher. Reliability of questionnaire tested by a pilot study. Cronbach’s α value +0.92 | L |
| Bevans et al., 2010 [ | USA | To test if the availability of nutritious foods during school lunch periods, as indicated by compliance with USDA recommendations, would be positively associated with children’s healthier eating behavior both in and out of school. | 22 schools 2039 participants grades 5–8 | Physical, policy, economic | Students answered a self-administered questionnaire about perceptions, attitudes, buying behaviors and lunchbox content | Self-report bias, accuracy of children’s reporting in questionnaires. Validity and reliability not tested | L |
| Billich et el., 2018 [ | Australia | To examine the relative price of ‘healthy’ and ‘less healthy’ lunch and snack items available within school canteens | 200 primary and secondary government schools | Economic | Observational cross-sectional study using semi structured interviews with food service managers and schools and students (student reporting of nutrition program participation and eating behaviors) | Semi-structured interviews provided rich data. Menu analysis objective measure. Only menu items that could be conclusively classified as ‘green’ (foods recommended to eat most) were included in the price analysis. Only canteen menus available online were included in the analysis. The cheapest menu item from lunch and snack categories used to represent the most affordable comparison. Validity and reliability not tested | L |
| Briggs et al., 2011 [ | UK | To analyze and describe 8–10-year-olds’ home and school food environments | Physical | 1. Photographic food diary for 4 days | Mixed-method approach of qualitative and quantitative data was used. Observation by survey method. Qualitative focus groups of dietary intake provided detail intake information and reduced self-report errors in standard survey. Validity and reliability not tested | L | |
| Carter and Swimburn, 2004 [ | New Zealand | To identify and quantify the potential impact of environmental factors on the promotion of unhealthy weight gain. | National primary schools | Physical, policy, economic, socio cultural | School environment questionnaire - to assess key elements of the physical, economic, socio cultural, policy environments for schools. School food sales also included as index of food eaten | Respondent burden via obtaining food sales data from food service staff. Measuring the difference in price between the ‘more’ and ‘less’ healthy foods provided a robust indicator. | H |
| Chortatos et al., 2018 [ | Norway | To gain a better understanding of the consumption habits of adolescents in the Norwegian school lunch arena | 12 secondary schools | Socio cultural | Qualitative focus groups with students. School staff were interviewed about adherence to guidelines for school meals | Mixed methods provided a more comprehensive picture of the food environment. Self-reported data prone to respondent bias. Validity and reliability not tested | M |
| Cleland et al., 2004 [ | Australia | To describe foods purchased from school canteens, and perceptions about school canteens from students, parents and teachers | 12 primary schools | Socio cultural | Survey was used to obtain information from students, parents and teachers through self-completion questionnaires | Self-reported data prone to respondent bias. Validity and reliability not tested | L |
| Condon et al., 2009 [ | USA | To describe foods offered in school meals and consumed by children | Samples included 130 school food authorities, 398 schools, and 2314 children (grades 1–12) | Physical | School Nutrition Dietary Assessment Study. School menu surveys were used to identify the foods offered in school meals | Menu analysis objective measure was a strength of the study. Validity and reliability not tested | L |
| Drummond and Sheppard, 2011 [ | Australia | To investigate school canteens and their place within the school system | 14 schools School principals | Physical | Qualitative study—interview, focus groups | Qualitative interviews and focus groups provided rich and context specific data Validity and reliability not tested. | M |
| Faber et al., 2013 [ | South Africa | To assess the school food environment in terms of breakfast consumption, school meals, learners’ lunch box, school vending and classroom activities related to nutrition | 90 poorly resourced schools | Policy, physical | Questionnaires were completed by school principals ( | Direct observation a strength of the study along with survey methods. Questionnaires subject to reporting bias. | L |
| Finch et al., 2006 [ | Australia | To identify sources of food eaten during the school day, the types of foods and frequency of purchases from the canteen and association with SES and weight status in primary school-aged children. | 18 government primary schools | Physical | Questionnaire with items relating to food and drink habits assessed usual canteen purchasing times and purchasing frequency, canteen spending, frequency of canteen use, sources of food and drink consumed at school and at breakfast, and types of food and drinks purchased | Self-report bias of questionnaire. Other important measures e.g., price differential of (‘healthy’ and ‘less healthy’) not collected. Questionnaire development included content analysis, pilot testing and reliability testing | L |
| Finch et al., 2007 [ | Australia | To identify sources of food eaten during the school day, the types of foods and frequency of purchases from the canteen and association with SES and weight status in primary school-aged children. | 16 Primary schools (8 high SES, 8 low SES), 2224 students average age 9.6 y | Physical | Students in years 4-6 completed a self-administered questionnaire (School Eating Habits and Lifestyle Survey), with parents completing the questionnaire on behalf of children in years 1- | Self-report bias, accuracy of student’s reporting in questionnaires. Survey test for reliability with a mean kappa 0.529 using pairings from 17 questions | L |
| Fox et al., 2008 [ | USA | To examine the association between school food environments and practices and children’s body mass index (BMI; calculated as kg/m2). | The study included 287 schools and 2,228 children in grades 1 through 12. | Policy, physical | Data on school food environments and practices were collected through on-site observations and interviews with school principal | Direct observation and principal interview was a strength of the study. Validity and reliability not tested | L |
| French et al., 2003 [ | USA | To describe food related policies and practices in Secondary schools in Minnesota | 336 schools 463 school principal | Policy, physical | Survey questionnaires around school food environment and food related practices | Self-reported bias was a limitation. Validity and reliability not tested | L |
| French et al., 2003 [ | USA | To describe the food environment in 20 Minnesota secondary schools. | 20 schools | Policy, physical | Surveys mailed to school principals and food service directors | Self-reported bias was a limitation. Validity and reliability not tested | L |
| Gebremariam et al., 2012 [ | Norway | To investigate the influence of the school food environment on the dietary behaviors of 11-year-old Norwegian children in elementary schools. | 1425 11-year-old children from 35 schools | Policy, physical and socio cultural | School principal questionnaire modified from a nationwide school survey, covered different aspects of the school food environment | Self-reported bias was a limitation. Validity and reliability not tested | H |
| Gebremariam et al., 2016 [ | Norway | To explore individual, home, and school/neighborhood environmental correlates of dietary behaviors (intake of fruits, vegetables, soft drinks, and unhealthy snacks) among adolescents. | 742 adolescents with a mean age of 13.6. 11 secondary schools | Policy, physical and socio cultural | A web-based questionnaire for students. School teachers administered the questions to the students | Self-reported bias. Reliability tested for questions relating to school food/nutrition. Internal consistency scale 0.78 | L |
| Hills et al., 2015 [ | Australia | To describe the changes in school canteen food between 2007 and 2010 and characterizes schools most likely to adhere to strategy guidelines. | In 2007 265 schools provided menus; in 2010 95 schools provided a menu | Policy, physical | Menu analysis and canteen managers were asked for recipe information, product size and brand. The study examined changes over time in adherence to a healthy canteen policy; | Limitation: study did not capture sales data. | L |
| Lien et al., 2014 [ | Multi European | To describe practice within physical, political and sociocultural aspects of the school nutrition environment in seven countries across Europe based on questionnaires to the school management, and exploring their associations with soft drink consumption reported on questionnaires by 10–12 year olds. | A total of 160 schools responded to the school management q and 171 audits were conducted | Policy, physical and socio cultural | School Management Questionnaire (SMQ)—developed to assess the four types of the school environment according to the ANGELO framework | Self-reported bias of questionnaire. Validity and reliability not tested | H |
| Ma and Wong, 2017 [ | Hong Kong | An examination of the relationship between available food in secondary school tuck shops and students’ purchasing preferences. | 6 secondary schools, 374 students | Physical | Questionnaire which was adapted from the Department of Health Hong Kong. Food was categorized into prepared snacks, fresh and cooked foods and drinks. The checklist included recording items sold in tuck shops | Self-reported bias of questionnaire. Validity and reliability not tested | L |
| Masse et al., 2013 [ | Canada | To explore the factors that impeded or facilitated the implementation of publicly mandated school based PE and nutrition guidelines in the province of British Colombia. | 50 schools (17 principals and 33 teachers) | Physical | Semi structured interviews with principals and teachers | Interviews provided rich and context specific data. Validity and reliability not tested | L |
| Masse et al., 2014 [ | Canada | To examine associations between the school food environment, students’ dietary intake, and obesity in British Columbia (BC), Canada. | 174 principal responses and 11,385 students (7–12 grades) | Physical | School principals completed the school environment survey | Interviews provided rich and context specific data. Validity and reliability not tested | L |
| Moore and Tapper, 2008 [ | UK | To estimate the impact of school fruit tuck shops on children’s consumption of fruit and sweet and savory snacks. | 43 primary schools children aged 9–11 years | Physical | Student surveys | Self-report bias of surveys. Validity and reliability not tested | L |
| Nathan et al., 2013 [ | Australia | To assess the validity of Principal self-report of primary school healthy eating and physical activity environments. | Primary school Principals ( | Physical, economic | Principal telephone interview, teachers observed food available in canteens and used for fundraisers | Observational data over a 9 week period was a major strength. Canteen food questions tested for validity and had a Kappa/PABAK score of range −0.6–0.81 | M |
| Nathan et al., 2016 [ | Australia | To examine whether a theoretically designed, multi-strategy intervention was effective in increasing the implementation of a healthy canteen policy in Australian primary schools. | 51 Primary school (children aged 5–12 years) | Policy and physical | Menu analysis | Menu analysis objective measure was a strength of the study. Validity and reliability note tested | L |
| Neumark-Sztainer et al., 2005 [ | USA | To examine associations between high school students’ lunch patterns and vending machine purchases and the school food environment and policies. | A randomly selected sample of 1088 high school students from 20 schools completed surveys about their lunch practices and vending machine purchases | Policy, physical | Data on school food policies were collected with surveys that were mailed to principals and food service directors | Self-report errors or bias of survey. Validity and reliability not tested | L |
| Nicholas et al., 2013 [ | UK | To assess lunchtime provision of food and drink in English secondary schools and the choices and consumption of food and drink by pupils having school lunches, and to compare provision in 2011 with that in 2004. | A random selection of 5969 pupils having school lunches in a nationally representative sample of eighty secondary schools in England. | Policy, physical | Onsite school inspections of canteens | Direct observation major strength of study. Validity and reliability not tested | L |
| Pettigrew et al., 2013 [ | Australia | To identify school principals’ perceptions of factors that influenced schools’ compliance with the new school nutrition policy and factors related parents’ beliefs about whether their children’s diets were healthier as a result of the policy. | Ten government primary and secondary schools | Policy | Semi structured interviews; focus groups with parents, interviews with school principals, teachers and canteen managers. Parents and principals questionnaires | Semi-structured interviews provided rich data. Validity and reliability not tested | L |
| Reilly et al., 2016 [ | Australia | The aim of this study is to assess the validity and direct cost of four methods to assess policy compliance: (1) principal and (2) canteen manager self-report via a computer-assisted telephone interview; and (3) comprehensive and (4) quick menu audits by dietitians, compared with observations. | 50 Primary schools (5–12 y o) | Policy and physical | Principal and canteen manager self-report—CATI interview. Observations of canteen food and beverages. Comprehensive menu audit and quick menu audit | Self-reported measured only consisted of one item. | M |
| Reilly et al., 2017 [ | Australia | To assess a range of barriers, as reported by canteen managers, using a quantitative survey instrument developed based on a theoretical framework. | A survey of 184 primary school canteen managers | Policy | Survey items assessed canteen manager employment status, canteen characteristics and potential barriers to healthy canteen policy implementation | Survey prone to participant bias. Validity and reliability not tested | L |
| Rosmawati et al., 2017 [ | Malaysia | To determine the types of competitive foods sold in primary school canteens for the consumption of school children in Kelantan, Malaysia. | 16 randomly selected primary school canteens | Physical | Site visit inspection was carried out to observe the running of the food preparation up to display of cooked or ready-to-eat food. | Direct observation was a major strength of study. Validity and reliability not tested | L |
| Temple et al., 2005 [ | South Africa | To determine the food consumption patterns of adolescent students at schools. | 476 students mean age 14.5 y | Physical | Student questionnaire about types of foods purchased | Questionnaire prone to participant bias. Validity and reliability not tested | L |
| Utter et al., 2007 [ | New Zealand | To describe the demographic characteristics and food choices of school canteen/tuck shop users. | 3275 students aged 5 to 14 | Physical | Student interviews and the FFQ were administered at students’ homes; parents helped to complete the interviews and FFQ | Semi-structured interviews provided rich data. Validity and reliability not tested | L |
| Woods et al., 2014 [ | Australia | To assess the compliance of school canteens with their state or territory canteen guidelines. | 263 school menus were sourced and assessed | Policy | Menu analysis. Menu items were coded into one of 3 categories based on the traffic light system set by each specific state’s canteen guidelines; ‘green’ or ‘amber/red’. When it was uncertain whether a food should be classified as ‘green’ or ‘amber’ it | Menu analysis limited to schools with menus available online. Menus assessed at one point in time so unclear if foods were available throughout the whole year. Menu analysis objective measure. Validity and reliability not tested | L |
| Wyse et al., 2017 [ | Australia | To describe the price of Australian school canteen foods according to their nutritional value. | 70 primary schools | Physical, economic | Menu analysis—Menu items were coded into one of 3 categories based on the traffic light system set by each specific state’s canteen guidelines; Price data was also extracted | Menu analysis objective measure was a major strength of the study. Validity and reliability not tested | M |
| Yoong et al., 2015 [ | Australia | To examine the availability of healthy food and drinks, implementation of pricing and promotion strategies in Australian primary school canteens, and whether these varied by school characteristics | 203 Canteen managers telephone interview & 170 menus | Physical, economic | School canteen managers from primary schools telephone interview and provided canteen menus | Direct observation was a major strength of the study. Validity and reliability not tested | M |
Notes: Abbreviations: ANGELO; Analysis Grid for Elements Linked to Obesity, CATI; Computer Assisted Telephone Interview, FFQ; Food Frequency Questionnaire, HKG; Hong Kong, USA; United States of America, SMQ; Senior Management Questionnaire, USDA; United States Department of Agriculture.
Figure 2Study characteristics of the articles identified in the review.