Table 2.
# | Author, Year of Publication |
Study Design, Study Duration + (Dates) | Setting | Sample Characteristics | Study Aims | Intervention Duration + (Dates), Components * | Intervention Detail |
---|---|---|---|---|---|---|---|
1 | Askelson et al., 2019 [117] | Before-after Pilot 1 y (2016) |
USA, Iowa, rural and urban areas | 6 middle schools (5 rural and 1 urban); 1 intervention Grades served by schools K-12; 5–8; 6–8 and 7–8 Enrolment across all schools, n = 3326, range n = 341–1140 per school; all students exposed to intervention; age NR; eligible for FRP lunch, range 18% to 42% |
To improve the lunchroom environment to promote healthy food choices and empower food service staff with the knowledge, skills, and ability to communicate with students about making healthy choices in the lunchroom | 1 y (2016)
|
|
2 | Bean et al., 2019 [102] | Before-after 2 y (2014–2016) |
USA, Virginia |
16 schools: 8 middle, 8 high; 1 intervention Demographic data: student sample size or age NR School district demographics: 75% African American, 13% Hispanic, 9% white, 1% Asian, 2% other ethnicity; 83% of schools with >90% NSLP participation rate |
To examine the impact of food service staff training on Smarter Lunchroom adherence in school cafés | 2 y (2014–2016)
|
|
3 | Bhatia et al., 2011 [44] | Before-after Pilot 2 y (2008–2010) |
USA, San Francisco, California |
3 schools: 1 middle school, 2 high schools; 1 intervention Demographic data: enrolment across all schools, n = 4304; student age NR |
To examine the impact of removing competitive a la carte lunch offerings and providing greater diversity of meal offerings for all students, on NSLP participation rates | 5 m (January–May 2010)
|
|
4 | Boehm et al., 2020 [96] | Controlled before-after (random allocation of schools) Pilot 9 m (September 2013–May 2014) |
USA, Northeast USA, urban area |
3 high schools; 2 interventions 2 I-schools: (1) Choices school, n = 1177 enrolled students, (2) Nudging school, n = 2140 enrolled students 1 C-school: n = 1297 enrolled students Demographics: student age NR; ethnic diversity (NS differences across schools); >95% students eligible for FRP meals, therefore free meals provided to all students |
To compare federally reimbursable meals served when competitive foods are removed and when marketing and nudging strategies are used in school cafeteria operating the NSLP | 4 w (April–May 2014)
|
|
5 | Bogart et al., 2011 [109] | Controlled before-after (non-random allocation of schools) Pilot 15 w (dates NR) |
USA Los Angeles, California |
2 middle schools, 1 intervention 1 I-school, 1 C-school Similar demographic data for ethnicity and 77% students eligible for FRP lunch I-school: n = 399 7th grade students completed pre and post surveys (50% female, mean age 13, SD 0.5); n = 140 7th grade student advocates; enrolled students or student sample size NR |
To pilot a community-based intervention for adolescents, Students for Nutrition and eXercise (SNaX) to translate school obesity-prevention policies into practice through peer leader advocacy of healthy eating and school cafeteria changes | 5 w (dates NR)
|
|
6 | Bogart et al., 2014 [88] | Cluster randomised trial (controlled) 3.5 y (January 2009–June 2012) |
USA Los Angeles, California |
10 middle schools, 1 intervention Similar demographic data for ethnicity; >83% students eligible for FRP lunch; student age and gender NR 5 I-schools, n = 1515 mean number of students enrolled per school (SD = 323) 5 C-schools, n = 1524 mean number of students enrolled per school (SD = 266) n = 2997 7th grade students from I-school completed B and FU surveys |
To conduct an RCT of SNaX, and examine effect on cafeteria participation, student eating behaviours and cafeteria attitudes | 5 w per school (during spring semester each y; January to June)
|
|
7 | Bogart et al., 2018 [110] | Cluster non-randomised trial (controlled) 2 y (2013–2015) |
USA Los Angeles, California |
65 middle schools, 1 intervention n = 17 I-schools, n = 22311 enrolled students, 70% students in NSLP; n = 47 C-schools, n = 56,120 enrolled students, 86% students in NSLP n = 242 student advocates at end of I-year (student grade NR) n = 187 students completed student advocate surveys n = 154 student advocates participated in post-I focus groups |
To disseminate an evidence-based middle-school obesity-prevention program, SNaX | 5 w per school (1 y across all schools; 2014–2015)
|
|
8 | Chu et al., 2011 [118] | Non-randomised trial (controlled, crossover) 1 y (spring and fall semesters 2009) |
USA, Minnesota, Texas, urban and suburban areas | 5 schools, 2 interventions 3 middle schools (1 Minnesota, 2 Texas), 2 high schools (1 Minnesota, 1 Texas) Demographics: Hispanic students, Texas range 25.7% to 54.5%, Minnesota range 1.4% to 35.6%; non-Hispanic, Texas range 1.7% to 47.3%, Minnesota range 26% to 94.7%; students eligible for FRP meals, range 30.5% to 100% across all schools; student age not reported |
To compare student acceptance of whole-wheat vs. refined tortillas in school meals according to sensory attribute ratings | 30 w (2 school semesters, 2009)
|
|
9 | Cohen et al. 2012 [89] 2013 [119] |
Cluster non-randomised trial (controlled, parallel arm) Pilot 2 y (2007–2009) |
USA, MA, Boston | 4 middle schools, 1 intervention 2 I-schools: 88% eligible for FRP meals, 78% participation in NSLP, n = 1609 student participants 2 C-schools, 86% eligible for FRP meals, 70% participation in NSLP, n = 1440 student participants Students in grades 6–8, most aged 12–14 years |
2012: To evaluate the impact of chef-based model on student’s selection and consumption of school lunches 2013: To assess the impact of food waste on nutrient consumption, if school foods served could be valid proxies for food consumed, and costs associated with food waste |
2 y (2007–2009)
|
|
10 | Cullen et al., 2007 [114] | Before-after Pilot 1 y (spring 2003–spring 2004) |
USA, California, North Carolina, Texas | 6 middle schools, 1 intervention 2 California, n = 2873 students 2 North Carolina, n = 1565 students 2 Texas, n = 1810 students Student age NR; baseline differences in ethnicity and eligibility for FRP meals (range, 55–97%) between schools |
To examine the feasibility of instituting school food environment changes during a 6-week pilot in school foodservice programs | 6 w (winter/spring 2004)
|
|
11 | Cullen et al., 2008 [103] Mendoza et al., 2010 [104] |
Before-after 5 y (2001–2006) |
USA, Texas | 3 middle schools, 1 intervention Students in grades 6–8; n = 2690 enrolled students across all schools (2001–2002 school year), and n = 3306 (2005–2006 school year) FRP eligibility, range 26–68% in 2001–2002, and 38–75% in 2005–2006 |
To assess the effect of the Texas Public School Nutrition Policy on middle school student lunchtime food consumption | 2 y (2004–2006)
|
|
12 | Cullen et al., 2015 [90] | Cluster randomised trial (controlled, parallel arm) Pilot 15 w (fall 2011) |
USA, TX, Houston | 4 intermediate schools, 1 intervention 2 I-schools, 2 C-schools Student age or enrolment numbers NR; Sample size for observations, n = 427 students (I-schools, n = 212; C-schools, n = 215) |
To investigate changes in student food selection and consumption in response to the new NSLP meal patterns during fall 2011 | 15 w (fall 2011)
|
|
13 | D’Adamo et al., 2021 [113] | Non-randomised trial (controlled, crossover) 2 y (dates NR) |
USA, Maryland, Baltimore, urban area | 1 high school, 1 intervention I-group (herbs and spices), C-group (typical recipe) n = 273 enrolled students Demographics: 57% female, African American 76% Hispanic 10%, ≥2 races 10%, White 4%, Asian < 1%, 100% eligible for FRP meals All students provided lunch trays for veg plate waste assessment |
To determine whether stakeholder-informed addition of spices and herbs to NSLP veg would increase intake | 4 school semesters (dates NR)
|
|
14 | Elbel et al., 2015 [107] | Cluster non-randomised trial (controlled) 11 m (November 2010–September 2011) |
USA, New York, NYC | 17 schools (includes elementary, middle and high schools; split between school type unknown), 1 intervention 8 I-schools, 9 C-schools I-schools: n = 1091 mean number of students/school, 55% female, 54% eligible for FRP meals, 21% African American, 41% Hispanic, 25% White, 11% Asian C-schools: n = 1175 mean number of students/school, 52% female, 47.1% eligible for FRP meals, 13% African American, 33% Hispanic, 33% White, 20% Asian Sub-set of larger study separated survey data for middle and high school (8th and 11th grade; n = 1759 students). |
To determine the influence of water-jets on observed water and milk taking and self-reported fluid consumption in NYC public schools | 10 m (December 2010–September 2011)
|
|
15 | Ellison et al. 1989 a [115] 1989 b [100] 1990 [116] |
Controlled before-after (non-randomised) 4 y (1984–1988) |
USA, NH and MA | 2 boarding high schools, 2 interventions (phase 1 and 2) Student mean age 15 years, almost none obese, 77% white 1989a: Sodium intake from food diary assessment, at B n = 674 (I-group n = 340, C-group n = 334), at FU n = 431 (I-group n = 221, C-group n = 210); 1700 ballots for food acceptability rating 1989b: BP assessment, n = 650 students (I-group n = 309, C-group n = 341) 1990: Fat intake from food diary assessment, at B n = 774 (I-group n = 389, C-group n = 385), at FU n = 467 (I-group n = 228, C-group n = 239) |
To measure the effects of changes in food purchasing and preparation practices on student acceptability of modified foods, sodium and fat intake, and BP | 6 m/phase (phase 1: reduced sodium; phase 2: modified fat; years unclear)
|
|
16 | Fritts et al., 2019 [120] | Phase 1: Non-randomised trial (controlled, crossover) Phase 2: Before-after 10 m (March–December 2017) |
USA, Pennsylvania, rural area | 1 middle/high school, 2 interventions (phase 1 and 2) I-group (herb and spice veg), C-group (lightly salted veg); approx. 75% students participate in the NSLP, and 44% received FRP lunch; 600–700 students aged 11–18 years were served lunch daily across 3 lunch periods School district demographics: 97% Caucasian |
To test whether adding herbs and spices to school lunch veg increases selection and consumption compared with lightly salted veg among rural adolescents | 10 m (March–December 2017)
|
|
17 | Greene et al., 2017 [91] | Cluster randomised trial (controlled) 9 w (February–April 2014) |
USA, New York, urban and rural districts | 7 middle schools, 1 intervention 4 I-schools (2 urban, 2 rural) and 3 C-schools (2 urban, 1 rural) I-schools: n = 1258 enrolled students, 1–97% white, 55–92% economic disadvantage C-schools: n = 850 enrolled students, 5–90% white, 49–92% economic disadvantage All students in grades 5–8, age NR |
To evaluate the impact of fruit-promoting Smarter Lunchroom interventions on middle school students’ selection and consumption of fruit | 6 w (March–April 2014)
|
|
18 | Hackett et al., 1990 [121] | Controlled before-after (non-randomised) 1 y (July 1987–July 1988) |
UK, Northum-berland county |
4 middle schools, 2 interventions 2 ‘dish of day free-choice’ I-schools; 2 ‘2 course fixed price’ I-schools 2 ‘affluent’ and 2 ‘less well-off’ schools (each allocated 1 free-choice I-school and 1 fixed-price I-school); Approx. n = 830 students aged 11–12 years across all schools Completion of surveys with school meal participation data: survey 1, n = 674 (n = 301 from free-choice I-schools, n = 373 from fixed-price I-schools); survey 2, n = 692 students (n = 333 from free-choice I-schools, n = 359 from fixed-price I-schools) |
To improve the quality of school meals and their up-take via a healthy eating campaign | 10 m (October–December 1987)
|
|
19 | Hanks et al., 2012 [122] | Before-after 4 m (February–May 2011) |
USA, New York, Corning | 1 high school, 1 intervention | To examine the application of the principle that healthier foods are more likely to be consumed if they were more convenient than less convenient less healthy foods | 2 m (April–May 2011)
|
|
20 | Hanks et al., 2013 [97] | Before-after Pilot 4 m (March–June 2011) |
USA, New York | 2 high schools, 1 intervention Grades 7–12, student numbers, age and other demographics NR |
To investigate how small changes to school cafeterias can influence the choice and consumption of healthy foods | 2 m (May–June 2011)
|
|
21 | Hunsberger et al., 2015 [123] | Before-after 4 m (January–April 2010) |
USA, Oregon, rural area | 1 middle school, 1 intervention Students in grades 6–8, aged 11–15 years, 64.6% of ethnic minority, 32.5% have BMI >95th percentile (obese), 79% eligible for FRP meals, n = 531 average number of students/day that participated in the NSLP (78%) during study period |
To investigate the impact of POS calorie information | 17 d (February 2010)
|
|
22 | Just et al., 2014 [93] | Before-after Pilot 3 m (February–April 2012) |
USA, New York | 1 high school, 1 intervention n = 370 enrolled students, aged 13–18 years; School district demographics: ethnicity primarily white (93.9%), eligibility for FRP meals 19.8% |
To conduct a pilot test to gauge the feasibility of the Chef Moves To School program, and measure student response through lunch selection and consumption | 2 d (April 2012)
|
|
23 | Koch et al., 2020 [124] | Before-after 2 y (2017–2018) |
USA, New York City, NY | 7 high schools, 1 intervention All students eligible to participate; n = 5719 enrolled students across all schools, 74% eligible for FRP lunch, age NR |
To measure the effects of major changes to school cafeterias (STARCafe) on school lunch consumption and factors that may influence consumption (i.e., seated time, attitudes towards school lunch, perception of cafeteria noise, school lunch participation) | 1 y per school (2017–2018)
|
|
24 | Madden et al., 2013 [105] | Before-after 3 w (2005) |
UK, London | 1 secondary school, 1 intervention Student participants aged 12–16 years, n = 378 lunch observations, pre-I n = 180 (38.9% female), post-I n = 198 (26.3% female) 63% students eligible for free school lunch |
To examine the effect of a short, low-budget kitchen-based intervention on energy, nutrient, and fruit and veg intakes | 1 w (2005)
|
|
25 | McCool et al., 2005 [108] | Non-randomised trial (controlled, crossover) Pilot 12 w (dates NR) |
USA, metropolitan area | 1 middle school, 3 interventions (phase 1–3) Enrolled students, n = 1234, age NR, 87.4% eligible for FRP meals |
To compare the amount of apple consumed by students when they were offered whole versus sliced ready-to-eat packaged apples | 12 w (dates NR; phase 1 = 6 weeks, phase 2 = 4 weeks, phase 3 = 2 weeks)
|
|
26 | Pope et al., 2018 [94] | Before-after Pilot 3 m (September–November 2015) |
USA, Vermont, rural area | 1 middle school, 1 intervention n = 587 eligible students in grades 4–8 eligible to participate; average NSLP participation rate = 66% Student age NR; numbers who participated in taste-testing NR |
To investigate whether providing samples of a veg-focused lunch entrée the day before it appeared on the lunch menu ↑ NSLP participation | 1 m (October 2015)
|
|
27 | Prell et al., 2005 [101] | Controlled before-after (randomised) 5 w (1998–1999 school year) |
Sweden, Göteborg | 3 secondary schools: 2 interventions (1) C-group, no intervention, n = 83 students (63% participation) (2) SL-group (school lunch intervention), n = 58 students (51% participation) Grade 8, aged approx. 14 years (3) SLHE-group (SL + home economics intervention), n = 87 students (60% participation) |
To examine the effectiveness of 2 school-based interventions aimed at increasing adolescents’ intake of fish at school | 5 w
|
|
28 | Prescott et al., 2019 [99] | Controlled before-after (non-random allocation of schools) 6 m (November 2017–April 2018) |
USA, Colorado | 2 middle schools, 1 intervention (1) I-group (poster + education), n = 268 grade 6 students across 2 schools (2) C-group (poster only), n = 426 students in grades 7–8 across 2 schools |
To examine the impact of a student-driven sustainable food systems education and promotion intervention on adolescent school lunch selection, consumption and waste behaviours, particularly for fruit and veg, during school lunch | 12–16 classes (from December 2017) + 2 weeks (April 2018)
|
|
29 | Quinn et al., 2018 [98] | Controlled before-after (non-random allocation of schools) 1 y (2013–2014 school year) |
USA, Washington, King County | 11 schools, 1 intervention 6 I-schools (3 middle and 3 high schools; n = 1026 mean number students enrolled per school), 5 C-schools (3 middle and 2 high schools; n = 1219 mean number students per school) n = 2309 tray observations across all schools and time points Student age not reported |
To evaluate whether a year-long choice architecture intervention implemented by school cafeteria managers changed student selection and consumption of healthy foods | 1 y (2013–2014)
|
|
30 | Schwartz et al., 2015 [92] | Before-after 3 y (2012–2014) |
USA, Connecticut, New Haven, low-income urban area | 12 middle schools, 1 intervention Approx. n = 680 enrolled students in grade 5 (all schools); Sample population followed over 3 years, n = 502 in grade 5 (2012), n = 465 in grade 6 (2013) and n = 373 in grade 7 (2014) School district demographics: >70% eligible for free-lunch, 13% for reduced-price; 47% African American, 38% Hispanic, 15% white |
To examine food component selection and consumption data pre- and post- revisions to the NSLP nutrition standards and policies | 2 y (2012–2014)
|
|
31 | Sharma et al., 2018 [106] | Non-randomised trial (controlled, parallel arm) 4 w (November–December, y NR) |
USA | 1 middle-high school, 1 intervention I-group, 1 fast service lane (FSL) C-group, 2 regular service lanes (RSL) Approx. n = 650 enrolled students in grades 6–12 |
To investigate whether middle and high school students are averse to loss of time and to assess feasibility of a fast food service lane intervention that would serve limited choices of pre-plated lunch meals | 4 w (November–December, year NR)
|
|
32 | Turnin et al., 2016 [112] | Before-after 1 y (dates NR) |
France, Toulouse, suburban and urban areas | 3 middle schools (1 suburban, 2 urban), 1 intervention n = 350 students for analysis, mean age 13.3 years (range, 11.5 to 16.4 years) School A, B and C; n = 84, 88 and 178 students respectively |
To evaluate the impact of interactive Nutri-Advice kiosks on children’s nutritional skills and their ability to apply it to food choices in a middle school cafeteria menu (food choice competencies) | 6 m (November–May, year NR)
|
|
33 | Wansink et al., 2015 [95] | Before-after Pilot 2 m (March–April 2012) |
USA, New York, Lansing | 1 high school, 1 intervention n = 370 enrolled students in grades 9–12; age not reported School district demographics: 93.9% white, 2% African American; 19% students eligible for FRP lunch |
To examine the potential impact that a school garden intervention, independent of corresponding educational materials, has on students veg selection and intake | 1 d (24 April 2012)
|
|
34 | Wansink et al., 2013 [111] | Cluster randomised trial (controlled) Duration unclear (2011) |
USA, New York, Wayne County | 6 middle schools, 1 intervention 3 I-schools, 3 C-schools n = 2150 enrolled students across all schools |
To determine the effect of offering pre-sliced fruit in schools on selection and intake | 1 m (November 2011)
|
|
35 | Witschi et al. 1985 [125] |
Before-after Pilot 9 w (Oct-Nov 1982) |
USA, New Hampshire | 1 boarding high school, 1 intervention Approx. n = 1000 enrolled students; To monitor sodium intake: n = 228 students aged 15–18 years Palatability survey responses: n = 1036 (pre-I) and 748 (during-I) |
To test the effects of dietary modification on total sodium intake of students and assess palatability for adolescents | 5 w (October–November 1982)
|
|
* NOURISHING frameworks’ domains, denoted by shade colour: blue = food environment domain; green = food system domain; orange = behaviour change communication domain. + Duration: y: year/s; m: month/s; w: week/s; d: day/s. B: baseline; BE: behavioural economics; BP: blood pressure; C: control or comparison; CBPR: community-based participatory research; FU: follow-up; I: intervention; FRP: free or reduced-price; NR: not reported; NSLP: National School Lunch Program; POS: point of selection; SD: standard deviation; SSB: sugar sweetened beverages; Veg: vegetables; #: number; RCT: randomized controlled trial; SFA: saturated fatty acids; PUFA: polyunsaturated fatty acids; BMI: body mass index; ↑: increase; ↓: decrease; NYC: New York city.