Skip to main content
. 2021 Feb 25;8(3):176. doi: 10.3390/children8030176

Table 3.

Intervention Characteristics.

Author Purpose of the Intervention Key Features of the Intervention Delivered by Duration Theory Study Outcome(s) Measured Effectiveness (in Relation to the Outcome Measures) Fidelity Measure
Diet and PA Interventions (n = 13)
Aceves-Martins et al. [86] To increase fruit and vegetable intake and PA, while reducing screen time (a) Adolescent challenge creator (ACC) training: An initial training session on social media principles and healthy lifestyle theory led by a university specialist in health and communication.
(b) Design and implementation of 10 activities: ACCs attended activity design sessions. The themes of the activities were based on the primary and secondary objectives of the study, which would stimulate the interest of their peers and were designed to be attractive.
The ACCs presented the intervention in classrooms at the two intervention schools, in which they explained the study, provided social media information, and invited their peers to provide suggestions for activities.
The ACCs disseminated the activities using social media platforms, posters and flyers. Information, photographs, and videos pertaining to each activity were uploaded to the campaign’s social media platforms.
Number of participants = 170.
ACCs, (trained by university specialists) 12 months None reported
  • Fruit and vegetables intake

  • Weekly moderate to vigorous PA (MVPA)

  • Sedentary time (questionnaires)

The percentage of adolescents in the intervention group who consumed ≥1 portion of fruit/day increased by 23.5% (p < 0.01).
Vegetable consumption differed only in males. The percentage of males consuming ≥1 portion of vegetables/day increased by 27.9% (p < 0.01) in the intervention group.
The percentage of adolescents in the intervention group who engaged in ≥6 h of PA/week participation increased by 21.2% (p < 0.01).
The percentage of male adolescents who engaged in ≤2 h of screen time/week increased by 27.9% (p < 0.01) in the intervention group and 12.3% in the control group (p = 0.01).
No
Baker et al. [49] To promote a healthylifestyle and improve healthy behaviours* (oral hygiene, hand washing techniques, PA, personal hygiene, and nutrition and food safety)
*information reported in this review relates to PA and nutrition components
Medical students presented a lecture, followed by an exercise session (circuit training), healthy smoothie preparation, and nutritional value of food analysis.
The lecture topics were broken down into modules (Physical Health and Healthy Eating Habits), and included methods for achieving optimal fitness, types of exercise, proper weight gaining/loss techniques and nutrition/food safety. The intervention was linked to the NFL Youth Education Town community centre.
Number of participants = 46.
Medical students 5 weeks None reported
  • Awareness and knowledge aboutexercise and healthy lifestyles

  • Demonstration of effectiveways to exercise and maintain health

  • Awareness andknowledge of proper food handling and better eating habits

  • Demonstration of ways to determine the proper nutritionalvalues of foods (questionnaires)

Physical Health Module:
17% of the participants passed the pre-test (60% or higher).
67% percent of all participants passed their post-test (60% or higher, achieving that objective).
75% of these participants improved their test scores by at least 10%, also achieving that objective.
Following the end of the intervention program, the survey showed a positive change in behaviour in 75% of the participants.
Healthy Eating Habits Module:
29% of the participants passed the pre-test (60% or higher)
.50% of the participants passed the post-test (60% or higher), failing to achieve that objective.
86% of all the participants improved their scores by at least 10%, successfully achieving that objective.
The survey following the intervention showed that 50% of the participants positively changed their personal eating habits.
No
Black et al. [67] Health promotion and obesity prevention program A manualised 12-session intervention (“Challenge”) included a rap music video promoting healthy eating and PA principles of mentorship (role modelling and support), participatory learning, goal setting. In addition to setting dietary and PA goals, tracking and evaluating progress, and revising goals as necessary, intervention adolescents prepared and tasted healthy snacks and engaged in PA.
Number of participants = 121.
Specially trained, college-enrolled, African American mentors (Approx.) 10 months Social Cognitive Theory and Motivational Interviewing
  • The accretion of body mass (BMI) and body fat % (DEXA)

The percentage of overweight/obese adolescents declined from 54% to 36% in the intervention group, while the percentage declined from 36% to 32% among the control group.
The percentage overweight/obese adolescents further declined to 35% in the intervention group, but increased to 38% among the control group at delayed follow up, resulting in a significant difference between groups (χ2 = 5.8, p = 0.02, GEE).
There were no statistically significant interactions between intervention and time in either post-intervention or delayed follow up for total percent body fat, fat mass or fat free mass in the multi-level modelling with the whole sample.
No
Dewar et al. [70] To promote PA and healthy eating and prevent obesity among inactive adolescent girls The Nutrition and Enjoyable Activity for Teen (NEAT) Girls combined a range of strategies to promote lifestyle (e.g., walking to school) and lifetime PA (e.g., resistance training), improve dietary intake, and reduce sedentary behaviours.
Intervention components included enhanced school sport sessions and lunchtime PA, nutrition workshops, interactive educational seminars, pedometers for self-monitoring, student handbooks, parent newsletters, text messages to reinforce and encourage health behaviours.Number of participants = 179.
Teachers, researchers, dieticians 12 months Social Cognitive Theory
  • BMI

There were no changes in BMI, but there was a group-by-time interaction effect for percentage body fat (–1.96%, p = 0.006) Yes
Dubuy et al. [84] To promote a healthy diet and PA 3 components (start clinic, school program, end clinic).
Clinics (ran by players): eating healthy breakfast, warm up session with players and signing a lifestyle contract.
School element: providing free fruit to all pupils, fruit and vegetable quiz, lessons on importance of drinking enough water, activity breaks and active playgrounds.
Number of participants = 268.
Professional soccer players, health workers and teachers 4 months None reported
  • PA levels

  • Dietary habits

  • Psychosocial correlates

  • Students’ evaluation of the intervention (questionnaires)

No intervention effects were found for consumption of breakfast, fruit, soft drinks or sweet and savoury snacks.
Positive intervention effects were found for self-efficacy for having a daily breakfast (p  <  0.01), positive attitude towards vegetables consumption (p  <  0.01) and towards lower soft drink consumption (p  <  0.001).
A trend towards significance (p  <  0.10) was found for self-efficacy for reaching the PA guidelines.
For sports participation, no significant intervention effect was found.
92 students completed the process evaluation questionnaire, the feedback was largely positive.
Yes
Frenn et al. [66] To improve the adoption of a diet lower in fat and duration of PA The primary classroom strategy for the sessions was consciousness raising and self-re-evaluation.Separate smaller group sessions were held for students in the preparation, action, and maintenance stages of change
Examples of content used include food pyramids, food diaries, peer leadership, planning exercise sessions.
(Specific strategies detailed in the paper.)Number of participants = 60.
Paediatric nursing students 4 classroom intervention sessions (duration of intervention not reported) Transtheoretical Model and Health Promotion model
  • Dietary fat intake (questionnaire)

  • PA duration (PA log)

When the Health Promotion/Transtheoretical Model interventions were used in 4 classroom sessions, students had a significantly (p <.05) reduced trend toward choosing a diet higher in fat and increased duration of PA, as compared with a control group. No
Frenn et al. [64] To examine improvement related to Healthy People 2010 Objectives (U.S. Department of Health & Human Services, 2000) for low-fat diets and MVPA Internet and video sessions for students in the precontemplation and contemplation stages of change focused on raising awareness of current eating and exercise, identifying pros (or benefits) of both low-fat diet and exercise, and overcoming cons (or barriers) to consuming low-fat diets and participating in exercise.
Those in the precontemplation, action, and maintenance stages of change were prepared as “peer models” and led the healthy snack and exercise labs with the assistance of senior nursing students and faculty.
Online feedback was given to all students in the intervention for each internet session.
(Specific strategies detailed in the paper.)Number of participants = 67.
Peer models (students), nursing students and other faculty members Academic year Transtheoretical Model and Health Promotion model
  • Dietary fat intake (questionnaire)

  • Weekly MVPA (PA log)

The difference in percentage of dietary fat intake between the intervention and control groups as a whole was not significant.
Both control and intervention groups decreased their amount of MVPA, but the level of decrease in MVPA was less among the intervention group (–8.58 min) as compared to the control (–37.61 min; p = 0.024)
No
Frenn et al. [65] To increase PA and reduce dietary fat among low-income, culturally diverse, 7th-grade students Eight-session Blackboard platform-delivered internet approach with four 2 to 3 min videos.
Sessions included preparing snacks, raising awareness for food early in the day/night-time binging, consciousness raising for PA and caloric balance. Computer-generated tailored feedback based on stage of behaviour change was provided to individual subjects for both PA and dietary fat.
(Specific strategies detailed in the paper.)Number of participants = 43.
Blackboard platform delivery (internet and computer based).Previously delivered by paediatric nursing students 1 month Transtheoretical Model and Health Promotion Model
  • PA levels (PA log)

  • Dietary fat intake (questionnaire)

Intervention students who completed more than half of sessions increased MVPA by an average of 22 min, compared with a decrease of 46 min for the control group, t 103 = −1.99, p = 0.05.
Those who completed all three sessions increased PA by 33 min.
Those participating more than half the sessions decreased percentage of dietary fat from 30.7 to 29.9, t 87 = 2.73, p = 0.008, whereas those in the control had 31.5% dietary fat in pre-test and 31.6% in post-test. Those participating in less than half the diet sessions were not significantly different than students in the control group classes, t 16.6 = −1.843, p = 0.08.
None reported
Holmberg et al. [81] To improve MVPA, sedentary time, exercise training frequency and duration The intervention was developed and implemented, as a result of cooperation and shared decision making among the researchers and the participants.
Components included health coaching, health promotion sessions and a closed Facebook group.
Number of participants = 49.
PhD students and the research team 2 years None reported
  • The adolescents’ experiences of participating in a Health-Promoting School-based intervention regarding food and PA, with a focus on empowerment (focus groups)

The adolescents appreciated influencing the components of the intervention and collaborating with peers in active learning activities such as practicing sports and preparing meals. They also reported acquiring new health information, that trying new activities was inspiring, and the use of pedometers and photo-food diaries helped them reflect on their health behaviours. This was echoed by teachers. No
Issner et al. [55] To motivate urban, minority youth to make healthy changes in diet and PA All participants engaged in goal discussion with a health coach that lasted 3–5 min.
The enhanced intervention group continued the intervention after the goalsetting portion wherein facilitators used probes to discuss previous experience, elicit positive change talk, discussion of benefits, and ideas for potential solutions.Number of participants = 51.
“Health coaches” (first and second author and research assistants) 20 min–1 session Self-Determination Theory and Motivational Interviewing
  • PA levels

  • Fruit and vegetable intake

  • Autonomous motivation and self-efficacy with an aim to improving healthy behaviours (questionnaires)

There was no significant interaction between the impact of the two intervention conditions on participants’ reports of fruit and vegetable intake across two time periods Wilks Lambda = 1.00, F(2, 52) = 0.19, p = 0.66, partial eta squared = 0.004. A main effect of time trended toward significance, Wilks Lambda = 0.95, F(2, 52) = 2.88, p = 0.09, partial eta squared = 0.054, with both groups showing an increase in fruit and vegetable intake.
There was no significant interaction between participants’ reports of PA across two time periods, Wilks Lambda = 0.99, F(2, 49) = 0.58, p = 0.45, partial eta squared = 0.012. Time significantly affected outcomes, Wilks Lambda = 0.90, F(2, 49) = 4.99, p = 0.03, partial eta squared = 0.096, with both groups showing an increase in PA at time 2.
In the goals only condition, from baseline to follow up, PA significantly increased, t(22) = −2.27, p < 0.05 (effect size d = 0.46) and autonomous motivation for PA significantly increased, t(22) = −2.45, p < 0.05 (effect size d = 0.56).
In the enhanced intervention condition, from baseline to follow up, PA significantly increased, t(22) = −2.17, p < 0.05 (effect size d = 0.40), autonomous motivation for diet significantly increased, t(22) = −3.59, p < 0.001 (effect size d = 0.67), and self-efficacy for diet significantly increased t(22) = −3.91, p < 0.001 (effect size d = 0.67).
Yes
Jackson et al. [69] To engage low-income, urban, African American adolescents and their families in learning ways to adopt a healthy lifestyle Interventions components included nutrition and PA information education, preparation and performance of their own “healthy” skits, team building exercises designed to introduce theatre dynamics, which progressed into script-writing activities, making healthy recipes or snacks. Each session ended with some form of PA (circuit training or a dance routine). At the end of the 6 week program, students performed ‘Getting on Track’ for family and friends.
Parents were engaged in three ways: (1) participating in a health information and recipe session, (2) completing home-based activities, and (3) attending the intervention’s culminating event, the Champions of Health Dinner Theatre.Number of participants = 15.
Registered dietitian with a background in theatre and a program assistant 6 weeks None reported
  • Food and PA knowledge (questionnaire)

  • Food and PA choices and behaviour (questionnaire)

  • The students experience of the intervention (focus groups)

Increases in the number of participants who knew the daily recommended number of servings of fruits and vegetables as well as the recommended amount of time healthy children should be active.
When given a choice between specific food item and activity pairs, participants chose healthier food items and PA over sedentary activity at post-test.An increase in students who responded “sometimes” when asked about healthy behaviour (eating fruits and vegetables instead of sweets and participating in PA instead of watching television)
The participants experience of the intervention was positive and identified methods to improve future interventions.
No
Leme et al. [77] To help achieve healthy food choices, promote lifestyle and lifetime PA, and reduce screen time activities Intervention components included enhanced PE classes, PA leadership book, recess PA, weekly nutrition and PA messages delivered by teachers during recess, three interactive seminars led by dietitians, nutrition and PA handbook, nutrition workshops, dietary and PA diaries, parents’ newsletters, text messages to students twice a week to encourage them to be physically active and eat healthily.
Number of participants = 142.
Dieticians and teachers 6 months Social-Cognitive Theory
  • BMI

No significant effect for BMI (F = 2.120, p = 0.135). Yes
Lubans et al. [71] To promote PA and healthy eating and prevent obesity among inactive adolescent girls The Nutrition and Enjoyable Activity for Teen (NEAT) Girls combined a range of strategies to promote lifestyle (e.g., walking to school) and lifetime PA (e.g., resistance training), improve dietary intake, and reduce sedentary behaviours.
Intervention components included enhanced school sport sessions and lunchtime PA, nutrition workshops, interactive educational seminars, pedometers for self-monitoring, student handbooks, parent newsletters, text messages to reinforce and encourage health behaviours.
Number of participants = 179.
Teachers, researchers, dieticians 12 months Social Cognitive Theory
  • BMI

  • Body fat % (bioelectrical impedance analyser)

After 12 months, changes in BMI (adjusted mean difference, −0.19; 95% CI, −0.70 to 0.33), BMI z score (mean, −0.08; 95% CI, −0.20 to 0.04), and body fat percentage (mean, −1.09; 95% CI, −2.88 to 0.70) were in favour of the intervention, but they were not statistically different from those in the control group. Yes
PA (only) Interventions (n = 9)
Bandeira et al. [76] To promote PA and reduce the screen time Teacher training, which was focused on lifestyle behaviours, including excessive screen time, and its implications for health support material, was delivered to teachers to assist them in organising classes on the topic. Component opportunities were created to encourage PA and decrease screen time in the school environment so that adolescents could play games/sports during free time at school. Supervised sessions of 10–15 min (“Gymnastics at School”) were performed twice a week. Health education messages were spread across the schools, and pamphlets were handed over to students/parents. The messages were also addressed to the psychosocial (self-efficacy, attitude, and social support) and environmental aspects of the practice of PA and reducing sedentary behaviour, especially screen time.
Number of participants = 548.
Teachers and school staff, undergraduate PE students 4 months (one semester) Socio-Ecological Model, Health-Promoting Schools and Social Cognitive Theory
  • Screen time (questionnaire)

There were no significant differences between intervention and control groups for reduction on screen time, in both sexes (boys: 0.105 h/day, 95% CI: −0.184 to 0.393, p = 0.477; girls: −0.065 h/day, 95% CI: −0.383 to 0.252, p = 0.686) and age groups (11–13 years: −0.046 h/day, 95% CI: −0.630 to0.538, p = 0.878; 14–17 years: 0.193 h/day, 95% CI: −0.077 to 0.464, p = 0.162). Yes
Casey et al. [74] To improve health-related quality of life (HRQoL), levels of PA, and a range of potential mediators of PA (e.g., self-efficacy, perceived sport competence). School PE component which incorporated student-centred teaching approaches and behavioural skill development. The PE component involved students participating in two 6-session units, each designed as one session per week during their ‘normal’ PE class time. The two units were a sport unit (tennis or football) and a recreational unit.
The curriculum and teaching approach drew on the principles of Game Sense, an Australian derivative of the Teaching Games for Understanding approach, and productive pedagogies in curriculum development.
Number of participants = 362.
PE teachers, community fitness instructors and sports coaches One academic year Socio-Ecological Model and Social Cognitive Theory
  • HRQoL

  • PA levels (questionnaires)

After adjustment for baseline levels of PedsQL, the intervention group had significantly higher scores on all three PedsQL scores: physical functioning (adjusted M  ±  SE  =  83.9  ±  0.7, p  =  0.005), psychosocial (79.9  ±  0.8, p  =  0.001) and total score (81.3  ±  0.7, p  =  0.001)—than the control group (80.9  ±  0.8; 76.1  ±  0.9 and 77.8  ±  0.8, respectively), suggesting that the program positively influenced HRQoL.
Differences in PedsQL were also present in the 3-group analysis (intervention completers, intervention non-completers and control), whereby the intervention non-completers had significantly higher scores (84.0  ±  0.8, p  =  0.021; 80.4  ±  0.9, p  =  0.003; and 81.7  ±  0.8, p  =  0.002, respectively) than the control group (80.9  ±  0.8, 76.1  ±  0.9 and 77.8  ±  0.8, respectively).
There was no statistically significant difference in either the 2-group or 3-group analysis for mins of leisure time (LT) MVPA, MET-mins of LTMVPA, or in the proportion meeting PA guidelines.
Yes
Fróberg et al. [80] To improve MVPA, sedentary time, exercise training frequency and duration The intervention was developed and implemented as a result of cooperation and shared decision making among the researchers and the participants.Components included health coaching, health promotion sessions and a closed Facebook group.
Number of participants = 54.
PhD students 2 years None reported
  • MVPA (accelerometer)

  • Sedentary time (accelerometer)

  • Exercise training (ET) frequency and duration (questionnaire)

There were no significant effects on changes in the accelerometer-measured MVPA (β = 0.26, 95% CI = [0.08; 0.43]) and sedentary time (β = −0.19, 95% CI = [−0.55; 0.15]), or the self-reported ET frequency (β = 0.03, 95% CI = [−0.25; 0.33]) and duration (β = 0.27 [95% CI = 0.01;0.60]), among the adolescents No
Hollis et al. [75] To reduce the decline in PA typically observed during adolescence The intervention components targeted the school curriculum, school environment, and broader community and parental support.
School curriculum included teaching strategies to maximise student PA in health and PE lessons, development and monitoring of student PA plans within PE lessons and the implementation of a 10 week enhanced school sports programme.School environment included the development and modification of school policies, PA programmes during school breaks and promotion of community PA providers.
Additional interventions strategies included an in-school PA consultant 1 day per week, establishing leadership and support, teacher training resources, teacher prompts and intervention implementation performance feedback to schools.
Parent engagement: information was regularly sent to the parents via school newsletters, the school website and newsletters on PA recommendations, school-based PA strategies, promotion of community PA providers and strategies to support their child’s PA.
Number of participants = 645.
Teachers 19–24 months (7–9 school terms) Social-Cognitive Theory and Socio-Ecological Model
  • Weight (BMI)/BMI z-score

  • Whether any effect was moderated by sex, baseline BMI and baseline PA (accelerometer)

At 12 months, there were group-by-time effects for weight (mean difference (95% CI) =−0.90 kg (−1.50; −0.30), p < 0.01) and BMI (−0.28 kg m−2 (−0.50; −0.06), p = 0.01) in favour of the intervention group, but not for BMI z-score (−0.05 (−0.11; 0.01), p = 0.13). These findings were consistent for weight (−0.62 kg (−1.21; −0.03), p = 0.01) and BMI (−0.28 kg m−2 (−0.49; −0.06), p = 0.01) at 24 months, with group-by-time effects also found for BMI z-score (−0.08 (−0.14; −0.02), p = 0.02) favouring the intervention group.
Intervention effects were significant for all adiposity outcomes at 12 and 24 months in both the complete cases and multiple imputation analyses.
There was weak evidence of a differential treatment on effect on weight in males compared with females (three-way interaction p = 0.22). Among males there, was a statistically significant treatment effect at 24 months in favour of the intervention group (−1.26 kg (−2.11; −0.41), p = 0.01). There were no significant effects on weight, BMI and BMI z-score at either 12 or 24 months for females.
There was weak evidence of a differential treatment on effect on weight in males compared with females (three-way interaction p = 0.22). Among males, there was a statistically significant treatment effect at 24 months in favour of the intervention group (−1.26 kg (−2.11; −0.41), p = 0.01). There were no significant effects on weight, BMI and BMI z-score at either 12 or 24 months for females.
Weight status at baseline: minimal evidence of differential treatment effects depending on baseline weight for weight (p = 0.50), BMI (p = 0.57) or BMI z-score (p = 0.64).
PA level at baseline: no evidence of differential treatment effects depending on activity status at baseline for weight (p = 0.94), BMI (p = 0.95) or BMI z-score (p = 0.31). There was no significant effect on weight, BMI or BMI z-score for either active or inactive students at 12 or 24 months.
Yes
Robbins et al. [48] To facilitate long-term attainment of adequate MVPA by enhancing girls’ perceptions of perceived benefits, self-efficacy, enjoyment, social support, role models, autonomy, relatedness, competence and reducing barriers relative to PA A 90 min PA club included organisational tasks (recording attendance and putting equipment away), healthy snacks, warm up activities, encouragement of MVPA, incorporation of information from the Health Promotion Model and Self-Determination Theory and varying forms of PA.
Number of participants = 752
PA club manager and 3–4 PA club instructors 17 weeks Health Promotion Model and Self-Determination Theory
  • Dose (accelerometer and observation)

  • Reach (attendance)

  • Fidelity (questionnaire)

Reach: Across the 3 years, the total mean attendance at the PA club was 20.54 ± 16.50 days, equivalent to 41% attendance.
93 evaluations were used to measure dose.
Dose Received (exposure): The mean accelerometer measured MVPA time was 21.85 ± 6.16 min, and the average number of steps was 2826 ± 820.
Dose Received (satisfaction): 88 of the 93 (95.7%) observations by the process evaluators indicated that the girls liked the PAs conducted in the club, and all agreed that girls liked their club instructors. 451 girls completed the satisfaction questionnaire after the 17-week intervention. On average, 87.8% (n = 396) liked the activities offered in the club, and 85.4% (n = 385) liked the club coaches/managers.
Fidelity: process evaluators perceived that the PA club was well received by the girls and delivered with high quality by the coaches/managers. In addition, girls perceived the club was successful in increasing their PA.
Yes
Robbins et al. [47] To facilitate long-term attainment of adequate MVPA by enhancing girls’ perceptions of perceived benefits, self-efficacy, enjoyment, social support, role models, autonomy, relatedness, competence and reducing barriers relative to PA A 90 min PA club included organisational tasks (recording attendance and putting equipment away), healthy snacks, warm up activities, encouragement of MVPA, incorporation of information from the Health Promotion Model and Self-Determination Theory and varying forms of PA.
Number of participants = 752.
PA club manager and 3–4 PA club instructors 17 weeks Health Promotion Model and Self-Determination Theory
  • BMI z-scores

  • Body fat % (bioelectrical impedance analyser)

  • Aerobic performance (VO2max)

No significant between-group differences in BMI-z existed at post-intervention, but % body fat increased less among intervention than control group girls (Mchange = 0.43% vs. 0.73%). Aerobic performance decreased less in intervention vs. control (Mchange = −0.39 vs. −0.57). Yes
Romero [61] To increase frequency of vigorous PA The first 20 min of lessons were interactive sessions focused on lesson content followed by 30 min break dancing sessions. Lessons were created in collaboration with key stakeholders (middle school students, middle school teachers, health educators, and local break dancers).
Key components of the intervention were based on Social Cognitive Theory and included the following: self-efficacy, culturally similar social role models, positive specific feedback on behaviour by teachers and peers, regular logs of PA, setting measurable goals, and identifying neighbourhood resources for PA.
Number of participants = 71.
Bilingual/bicultural female university students 5 weeks Social Cognitive Theory
  • Vigorous PA

  • Dance frequency (questionnaire)

For girls, a significant increase in vigorous exercise was found from pre-test to post-test, but this was not significant for boys.
No significant differences were found in dance frequency.
No
Roth et al. [58] Predisposing, enabling, and reinforcing factors for PA as well as self-reported PA Intervention schools were provided a middle school PE curriculum, $2500 in equipment vouchers for use in PE classes, and a $200 stipend for completing all 12 h of the training.
Number of participants = 3763.
PE teachers 2 years Social Learning Theory
  • Daily PA

  • Muscle-strengthening PA (questionnaire)

While there were no detectable intervention effects on daily PA, there was a negative intervention effect detected for weekly muscle strengthening PA. No
Smith et al. [73] To examine the mediating effect of resistance training skill competency on percentage of body fat, muscular fitness and PA Intervention components included researcher-led seminars for students, provision of fitness equipment to schools, smartphone application and website, pedometers for self-monitoring, parental strategies for reducing screen time (i.e., newsletters), lunch-time PA mentoring sessions and face-to-face activity sessions run by teachers during the timetabled school sport period.
Number of participants = 181.
Teachers 20 weeks Self-Determination Theory and Social Cognitive Theory
  • Body fat % (bioelectrical impedance analyser)

  • Muscular fitness (hand grip and push-up tests)

  • MVPA (accelerometer)

The mediated effect was statistically significant for percentage of body fat (B [SE] = −0.95 [.26]; 95% CI = −1.49 to −0.47) and muscular fitness (B [SE] = 0.16 [.07]; 95%CI = 0.03 to 0.31).
The mediated effect was not significant for MVPA (B [SE] = 0.50 [2.1]; 95%CI = −3.6 to 4.6).
Yes
Mental Health Interventions (n = 7)
Araya et al. [85] To reduce depressive symptoms among low-income secondary school students The intervention consisted of 11 weekly and 2 booster sessions, each lasting approximately 1 h. There was an introductory session, 6 sessions dealing with thought restructuring and emotions, 3 sessions of problem-solving strategies, and 1 closing session to revise and integrate all previous work. Two booster sessions delivered at months 2 and 7 reviewed challenging negative thoughts and problem-solving strategies.
Number of participants = 1221.
Psychologists, occupational therapists, and social workers) 3 months Cognitive Behavioural Model
  • Depressive symptoms (questionnaire)

There was no evidence of any clinically important differences between the intervention and control arms in depressive symptoms scores at 3 months (adjusted difference in means, −0.19; 95% CI, −1.22 to 0.84; p = 0.72) or at 12 months.
The adjusted difference in the primary outcome at 3 months between trial arms was −0.15 (95% CI, −1.12 to 0.81; p = 0.75) with 20 imputed full data sets.
Yes
Dray et al. [72] To increase the provision of universal strategies targeting multiple internal and external resilience protective factors A framework of sixteen intervention strategies. Each strategy was designed to address one or more internal or external resilience protective factor. Intervention schools were asked to meet the prescribed set of strategies; however, schools were given the flexibility to select which specific programs or resources to implement to address each of the strategies.
(The 16 strategies are detailed in the paper.)Number of participants = 1909.
Teachers 3 years None reported
  • Total Strengths and Difficulties Questionnaire (SDQ) score

  • Internalising problems

  • Externalising problems

  • Prosocial behaviour (questionnaires)

There was no significant difference between intervention and control groups for the outcomes of total SDQ, internalising problems and prosocial behaviour
There was a significant difference for the outcome of externalising problems in favour of the control group, though the magnitude of effect was small (b¼0.43, 95% CI: 0.04 to 0.83, p¼0.02)
Yes
Frazier et al. [56] To leverage recreational activities for social emotional learning Leaders @ play: The program included didactic instruction, skills demonstration and discussion, role plays, and sports and recreation to provide practice with feedback. The first two sessions included team building activities; introduction to the Good Behaviour Game; and orientation to the junior camp counsellor internship. Intervention content emphasised social problem solving, emotion regulation, and effective communication. The last two sessions included review, celebration, and preparation for summer camp.
Families @ Play: Multi-family groups comprised of youth, parents, and extended family were designed to meet twice per month for 90 min. The format and content mirrored those of Leaders @ Play. The primary goal was to introduce a targeted skill (problem solving, emotion regulation, or effective communication), accompanied by specific strategies by which families could model and reinforce them at home.
Number of participants = 46.
Physical instructor, park recreation leaders, park supervisors, mental health providers Leaders @ play = 10 weeks. Parents @ play = 10 weeks None reported
  • Social skills

  • Problem behaviour (questionnaire)

There were no significant changes in parent report of Social Skills over time: baseline to post-test: t 62 = −0.23, n.s., post-test to follow up: t 50 = 1.19, n.s, and baseline to follow up: t 64 = 1.08, n.s. Despite a trended increase in parent-reported Problem Behaviours from baseline to post-test, t 65 = −1.84, p = 0.56 (Cohen’s d = −0.46), these ratings returned to baseline levels by follow up, t 50 = 1.83, p = 0.07 (post-test to follow up) and t 65 = 0.26, n.s. (baseline to follow up).
Staff-reported Problem Behaviours for the total sample across sites showed no change from baseline to post-test, t 49 = 1.64, n.s., but declined significantly by follow up, t 61 = 2.04, p < 0.05 (post-test to follow up) and t 60 = 3.75, p < 0.0001 (baseline to follow up). Staff-reported Social Skills improved from baseline to post-test, t 51 = −2.56, p = 0.01 and follow up, t 63 = −2.11, p < 0.05, and gains were maintained from post-test to follow up, t 62 = 1.49, n.s. Effect sizes based on overall means from the total sample showed staff-reported reductions in Problem Behaviours (d = 0.46 at post-test and 0.88 at follow up) and gains in Social Skills (d = −0.72 and −0.53, respectively).
Yes
Mendelson et al. [53] To enhance social, emotional, and academic functioning RAP Club incorporates psychoeducation, cognitive behavioural, and mindfulness strategies from three evidence-supported treatments: Dialectical Behaviour Therapy for Adolescents, Trauma Adaptive Recovery Group Education and Therapy and School-Based Trauma/Grief Group Psychotherapy.
Number of participants = 29.
Co-facilitated by a mental health counsellor and young adult community member 6 weeks None reported
  • Social, emotional, and academic functioning (questionnaire)

Compared with controls, intervention students improved on teacher rated dysregulation (F(1,43) = 7.94, p < 0.01, d = 0.85), social competence (F(1,43) = 8.32, p < 0.01, d = 0.87), academic competence (F(1,45) = 6.65, p < 0.05, d = 0.76), and authority acceptance (F(1,43) = 5.43, p < 0.05, d = 0.69). The pattern of scores was in the predicted direction for all the other teacher-reported outcomes, except attention. Student-reported outcomes did not differ by study condition.
17% of intervention students had elevated baseline depression; all displayed a pattern of reduced post-test symptoms.
83% of intervention participants reported low baseline depression; compared with control participants with low baseline depression, these students showed improved teacher-rated dysregulation (t(39) = 2.9, p < 0.01), social competence (t(38) = −2.57, p < 0.05), academic competence (t(40) = −2.27, p < 0.05), authority acceptance (t(39) = 2.53, p < 0.05), and disciplinary sanctions ((t(39) = 2.28, p < 0.05)
Higher program dose was associated with greater improvement than low dose on teacher-rated academic comparison (t(1,25) = 2.93, p < 0.01), discipline (t(1,25) = 2.24, p < 0.05), and conduct problems (t(1,25) = 2.4, p < 0.05).
No
Schleider et al. [51] To reduce depressive symptoms, social anxiety symptoms, and conduct problems Growing Minds (GM): A self-administered, computerised single-session intervention (SSI) which includes content related to multiple types of mind-sets (personality, intelligence, self-regulation) across four interactive modules.
Number of participants = 115.
Self-administered on a computer. Research assistance was available for assistance if needed 1 session None reported
  • Depressive symptoms

  • Social anxiety symptoms

  • Conduct problems (questionnaires)

Relative to girls in the control group, girls receiving the GM-SSI reported modest but significantly greater reductions in depressive symptoms (d = 0.23) and likelihood of reporting elevated depressive symptoms (d = 0.29) from baseline to follow up. GM-SSI effects were non-significant for social anxiety symptoms, although a small effect size emerged in the hypothesised direction (d = 0.21), and non-significant for change in conduct problems (d = 0.01). No
Sethi et al. [83] To improve attention and self-efficacy All the students participated in the yoga course for 5 days. The module was selected from Integrated Approach of Yoga Therapy for positive health.
Number of participants = 60.
Not reported 5 days None reported
  • Attention (Rosenberg self-esteem scale)

  • Self-efficacy (d2 test)

The intervention resulted in a significant increase in self-efficacy (p = 0.001) and attention scores (p < 0.001). No
Shinde et al. [82] To improve school climate and health-related outcomes The intervention identifies four priority areas for action: promoting social skills among adolescents; engaging the school community in school-level decision-making processes; providing access to factual knowledge about health and risk behaviours to the school community; and enhancing problem-solving skills among adolescents. The intervention strategies were organised at three levels—whole school, group, and individual levels—and include school health committee, awareness generation fun activities, speak out box (letterbox), wall magazine, competitions (debates, poster making, quizzes, etc.), health policies, peer groups, workshops, individual counselling.
Number of participants in the teacher-led intervention = 4046.
Number of participants in the lay counsellor-led intervention = 4524.
Lay counsellor (SM) or teacher (TSM) One academic year None reported
  • School climate (questionnaire)

Participants in the SM-delivered intervention schools had substantially higher school climate scores at endpoint survey than those in the control group (BBSCQ baseline-adjusted mean difference [aMD] 7·57 [95% CI 6·11–9·03]; effect size 1·88 [95% CI 1·44–2·32], p < 0·0001) and the TSM-delivered intervention (aMD 7·57 [95% CI 6·06–9·08]; effect size 1·88 [95% CI 1·43–2·34], p < 0·0001). There was no effect of the TSM-delivered intervention compared with control (aMD −0·009 [95% CI −1·53 to 1·51], effect size 0·00 [95% CI −0·45 to 0·44], p = 0·99). Yes
Diet Interventions (n = 4)
Luesse et al. [54] To increase intake of whole/minimally processed foods, operationalised as fruit and vegetables, and decrease intake of highly processed foods, operationalised as sugar-sweetened beverages, fast foods, and processed-packaged snacks In ’Defence of Food’ is a health education curriculum of 10 sequential 2 h educational lessons. The lessons were structured into three units, consisting of three lessons each, followed by a final celebration lesson. Key aspects of lessons included food rules, film clips, food preparation/tasting, goal setting.(Detailed curriculum components within the paper.)
Number of participants = 32.
After-school program teachers 10 weeks Social Cognitive Theory and Self-Determination Theory
  • Intake of whole/minimally processed foods (questionnaire)

  • Intake of highly processed foods (questionnaire)

  • Psychosocial mediators of dietary habits (semi-structured interview)

  • Qualitative evaluation (semi-structured interview)

There was a significant increase in mean frequency of fruit and vegetable intake at post-test compared with pre-test (t = 3.359, p < 0.01)—an effect size that is considered to be large (d = 0.59). Small effect sizes (d = 0.34) were seen for mean intakes of highly processed foods but change in score was not statistically significant (p = 0.06).
Statistically significant increases in outcome expectations and self-efficacy for fruit and vegetable intake occurred from pre-test to post-test; all other mediators showed no statistically significant changes.
Youth discussed supports for eating fruit and vegetable intake, including social support and modelling, the application of self-regulation skills to increase intake, and their expressed preferences for fruit and vegetable. Youth were also preoccupied with the negative physical outcome expectations of eating highly processed foods, such as developing diabetes.
No
Brito Beck da Silva et al. [78] To promote adequate and healthy eating Eight meetings lasting 50 min each were provided to promote healthy eating and PA. The topics covered were: 1) healthy eating; 2) PA and sports; 3) fats, sugars and salt: effects of a poor diet; 4) nutritional evaluation: The basics; 5) use of supplements in PA: A critical approach; 6) food labelling: food and nutritional safety; 7) role of nutrients in health promotion: functional foods with a focus on fruits, vegetables and legumes; 8) good food handling practices.
A webpage was created in a social network used by the adolescents, in which videos, trivia and general guidelines on healthy eating were posted.For parents and/or guardians, didactic-educational materials were sent through adolescents to encourage them to maintain a healthy lifestyle.
Number of participants = 387.
Nutritionists 9 months None reported
  • Biochemical profiles (TC, HDLc, TG and LDL) (blood test)

  • Anthropometric data (height and weight)

  • Healthy food consumption (legume and vegetable) (questionnaire)

The intervention group exhibited decreases of 7.64 mg/dL (2.94 mg/dL) in mean TC (p = 0.009) and 7.77 mg/dL (2.60 mg/dL) in mean LDLc (p = 0.003) and increases of 18% in legume consumption (OR = 1.18; 95% CI 1.03–1.37) and 17% in vegetable consumption (OR = 1.17, 95% CI 1.01–1.35) compared with those who did not undergo intervention at the end of the 9-month follow up.
No differences were noted in the anthropometric parameters studied.
No
Knapp et al. [60] To address individual, social, and environmental factors that affect dietary behaviours Interactive, garden and kitchen-based curriculum classes during school hours as well as afterschool programming for students.
Students were involved in growing, harvesting, preparing, and eating food.
Programming also extends beyond the classroom to involve families, school staff, and community members in activities and events, such as family food nights, open garden days, and parent cooking classes.
Number of participants = 27.
Program teachers Not reported None reported
  • Student, parent, and teacher perceptions of the intervention

  • Identification of program attributes that are most highly valued

  • Perceived impact of the program on students (focus groups)

Four primary themes emerged from the focus group data: (1) development of life skills, (2) food and health, (3) family and community, and (4) experiential and participatory learning environment. These core themes and subcategories of the themes were organised into levels of the socioecological model. No
Alaimo et al. [62] To improve school nutrition practices (including nutrition education) and policies, and to improve student dietary intake Schools were asked to convene a Coordinated School Health Team (CSHT) with representatives from various sectors of the school (administration, faculty, food service, health care, and students).Schools were provided with a trained facilitator to meet with their CSHT on one time to complete the healthy School Action Tool (HSAT) healthy eating and nutrition topic area (questions on the following topics: school nutrition policies, school nutrition environment, school health education programs including nutrition education, and school food service programs).
At the end of each module, schools were to identify several “bright ideas” they could implement. Schools were asked to prioritise their goals and received $1000 to implement nutrition education or nutrition marketing activities in their action plans.Number of students unknown (40 schools).
Not reported 2 years None reported
  • Adoption of school nutrition practices (including nutrition education) and policies (questionnaire)

  • Student dietary intake (questionnaire)

Schools that completed the HSAT prior to but not during the School Nutrition Advances Kids (SNAK) project reported adopting more nutrition policies than schools that never completed the HSAT or a similar program (2.2 vs. 0.4 nutrition policies).Schools that completed the HSAT at any time (prior to but not during the SNAK, during but not prior to, and both prior and during the SNAK project) reported adopting significantly more nutrition practices than schools that never completed the HSAT or a similar program (6.8, 5.8, 7.0, vs. 1.6 nutrition practices, respectively).
Schools that completed a similar assessment or grant program before or after the SNAK project also reported adopting significantly more nutrition practices than schools that never completed the HSAT (4.3 vs. 1.6 nutrition practices).
Students in schools that were randomised to complete the HSAT reported consuming significantly more fruit (17.5%) and fibre (4.9%) and less cholesterol (4.2%) than students in the control schools.
Students in schools that completed the HSAT during the intervention reported consuming significantly more fruit (20.1%) and fibre (5.1%) and less cholesterol (8.4%) than students in schools that had never completed the HSAT.
No
Substance Abuse (n = 2)
Vicary et al. [68] To reduce the risk for initiation of substance abuse or reduce increased use in high-risk females The life skills training (LST) condition, which is usually taught by a limited number of teachers in a series of classes dedicated to substance abuse prevention. The infused (I)-LST condition integrates life skills training and alcohol, tobacco or other drugs (ATOD) information into a variety of the existing grade level subject curricula by the teachers for these subject areas. The goal of such an approach is to make prevention an integral part of the total curriculum. I-LST teachers were trained by university/project staff.
Number of participants (LST) = 234.
Number of participants (I-LST) = 297.
Teachers 2 years None reported Students’ self-report of:
  • Cigarette use

  • Smokeless tobacco use

  • Alcohol consumption

  • Attitude toward ATOD

  • Normative beliefs of peer substance use

  • Knowledge about ATOD

Change in program-targeted skills:
  • Decision making skills

  • Communication skills

  • Refusal skills

  • Media awareness

  • Resistance skills

  • Assertiveness Coping with anxiety (questionnaires)

The LST low-risk females reported a significantly lower frequency of alcohol use, less binge-drinking, and less marijuana use, while the I-LST low-risk females reported significantly less cigarette smoking. However, the only significant substance use effect that remained for the low-risk females by the end of 8th grade was [less] cigarette smoking for I-LST.Both LST and I-LST positively affected knowledge of alcohol, tobacco, and other drugs.
The I-LST program demonstrated a desirable effect on the normative beliefs of the low-risk females at the end of year two.
Among skill variables, treatment effects were found for LST low-risk females for decision making, communication, and coping skills at the end of year one, although, at the end of year two, these effects had disappeared.
LST females demonstrated significantly worse media resistance skills at the end of year two. Two skill treatment effects existed for the low-risk I-LST females. At the end of year one, I-LST positively affected decision-making skill; however, this effect was reduced to a non-significant level by the end of year two.
The I-LST program resulted in greater coping skills by the end of year two for the low- risk females. More positive results were observed, however, for the females at higher risk, with significant treatment effects found in a number of substance use categories.
After the first year of programming, high-risk females in the LST program were less likely to use alcohol (both for any drinking and for binge drinking), marijuana, and inhalants.
A significant treatment effect was also shown among high-risk females in the I-LST program for drinking, binge drinking, and marijuana use at the end of the first year.
The LST program significantly affected pro drug attitudes, normative beliefs, and knowledge of ATOD myths and realities although the effects did not remain at a significant level by the end of year two.The LST program resulted in two treatment effects for the high-risk females, assertiveness and refusal skills.
A significant treatment effect was observed for the high-risk females in the I-LST for normative beliefs by the end of year one, although the effect did not remain through year two.
A significant I-LST treatment effect was observed for attitudes toward ATOD and refusal skills at year two among the high-risk females.
No
Robinson et al. [50] To reduce substance use within a sample of low-income, inner-city African American adolescents School-based health centre (SBHC) social workers and health educators conduct schoolwide prevention/education groups during regular scheduled classes, as well as schoolwide special assemblies and health fairs.
The SBHCs operate similarly to a typical physician’s office. A student’s initial visit to the SBHC includes a comprehensive physical and mental health assessment.
Alcohol and drug prevention and rehabilitation services are provided in the form of classroom-based preventative health education and individual counselling.
Number of participants = 598.
A physician specialising inadolescent medicine, a nurse practitioner, a social
worker, a medical assistant, and a health educator
6 months for 7th graders and 2 years and 6 months for 9th graders None reported
  • Substance use prevalence: cigarettes, alcohol, and marijuana (questionnaire)

For the analysis of cigarette smoking, a significant grade 3 SBHC interaction effect was found, F(1, 585) 5 3.83, p 5 0.05. The SBHC students smoked slightly less than non-SBHC students in the 9th grade; but, by 11th grade, SBHC students were smoking significantly less than non-SBHC students.The SBHC 3 grade interaction effect for alcohol use was non-significant, F(1, 586) 5 0.39, p 0.50, although students from SBHC schools (M 5 1.32, SD 5 3.24) reported drinking slightly less frequently than students from non-SBHC schools (M 5 1.60, SD 5 3.75), this difference was not significant, F(1586) 5 2.45, p 5 0.12
For marijuana, a significant grade 3 SBHC interaction effect was found, F(1, 587) 5 12.72, p, 0.001. By 11th grade, marijuana use had significantly decreased among SBHC students while marijuana use among non-SBHC students dramatically increased.
No
PA, Diet, Substance Abuse and Mental Health Interventions
Fardy et al. [59] To promote health knowledge and behaviour, coronary risk factors, and cardiovascular (CV) fitness 20–25 min circuit training classes followed by 5 min of health behaviours lecture/discussion (topics included exercise, nutrition, smoking cessation, stress management, heart disease, cancer, and motivation).
Student workbook from Stanford Adolescent Heart Health Program and the PA and Teenage Health pilot study.
Number of participants = 181.
PE teacher and assisted by undergraduate and graduate PE majors 11 weeks None reported
  • Health knowledge (questionnaire)

  • Health behaviour (questionnaire)

  • Coronary risk factors (questionnaire)

  • CV fitness (VO2max)

Cardiovascular health knowledge scores significancy increased in the intervention group, whereas they decreased in the control group.
Significant changes in self-reported dietary behaviour were observed in female subjects.
Significant changes in risk factors were restricted to lowered total cholesterol in girls.
Mean cholesterol values in female subjects decreased from 165 to 149 mg/dl in the treatment group, whereas female controls decreased from 154 to 150 mg/dl.
There were no significant differences in blood pressure, obesity, and self-reported PA.
Estimated mean CV improved in females from 33 to 38 mL/kg per min (p < 0.0001), at heart rates of 176 and 152, respectively, whereas control subjects increased only from 33 to 34 mL/kg per min at heart rates of 178 and 172, respectively.
In male subjects, treatment and control groups improved from 43 to 52 mL/kg per min and 41 to 49 mL/kg per min, respectively, although the differences between groups were not significant.
No
Mental Health and Sleep Interventions
Sibinga et al. [63] To improve mental health and reduce stress Mindfulness-based stress reduction (MBSR) programs consist of three components: didactic material related to mindfulness, meditation, yoga, and the mind–body connection; experiential practice of various mindfulness meditations, mindful yoga, and the “body scan” during group meetings and encouragement of home practice; group discussion focused on the application of mindfulness to everyday situations and problem solving related to barriers to effective practice.
Number of participants = 22.
A mindfulness instructor 12 weeks None reported
  • Psychological functioning (questionnaire)

  • Sleep (sleep diaries and actiwatch)

  • Stress (salivary cortisol)

MBSR participants had less anxiety and a reduction in negative coping approaches (p = 0.06).
MBSR participants showed an increase in self-reported anger (p =0.06). Otherwise, there were no significant differences between groups.
Among all participants, there was an association between the mindfulness subscale “act with awareness” and lower anxiety (p < 0.01).
Among MBSR participants, mindfulness subscales were associated with less self-reported angry temperament (pb0.02) and less anger reactivity (p = 0.05).
Total cortisol output was not statistically significantly different between groups at baseline or follow up. Overall, cortisol output was higher post-program (p = 0.05). There was a trend towards increasing cortisol over time among ‘healthy-topic’ participants (113.6 to 167.5, p = 0.07); but not among MBSR participants (128.3 to 138.5, p = 0.33).Regression analyses of actigraphy data showed no differences between groups in sleep latency (p = 0.29), WASO (p = 0.42), or sleep efficiency (p = 0.97); also, sleep diaries showed no differences in sleep quality (0.67).
No
PA, Diet and Substance Abuse
Kerr et al. [52] To improve dietary behaviours, PA, and substance use knowledge and behaviours Promoting Health Among Teens (PHAT) is a culturally tailored intervention for African American adolescents, focusing on 3 dimensions of health behaviour (diet, PA and substance abuse) for premature cancer and cardiovascular disease prevention.The intervention interactive learning activities to increase health knowledge, develop health behaviour skills, change attitudes, increase self-efficacy, and explore beliefs regarding personal health behaviours. PHAT utilised cultural pride, goal setting, and instruction in dietary behaviours, PA, nutrition cognition. PHAT was conducted using group facilitation, role playing, games, and classroom multimedia messages.
(Specific strategies detailed in the paper.)
Number of participants = 834.
Trained interventionists 2 weeks Social Cognitive Theory
  • General health knowledge

  • Dietary habits

  • PA levels

  • Substance use behaviours (questionnaires)

PHAT participants had significantly higher knowledge scores than FOY (control) participants (p ≤ 0.0001), and the rate of increase in condition was significantly higher among PHAT participants than FOY participants (p ≤ 0.0001).
Participants with greater general health knowledge for the centred health knowledge variable had significantly higher intercepts for past week fruit consumption (p ≤ 0.01), past week vegetable consumption (p ≤ 0.0001), past month vegetable consumption (p ≤ 0.0001) past week moderate PA (p ≤ 0.0001), past week PA to strengthen or tone muscles (p ≤ 0.01) lifetime alcohol use (p ≤ 0.01), and lifetime marijuana use (p ≤ 0.05).
Participants with lower general health knowledge had higher intercepts for past month alcohol use (p ≤ 0.01) and past month marijuana use (p ≤ 0.0001).Participants with lower general health knowledge scores had significantly greater slopes for lifetime alcohol use (p ≤ 0.01).
The growth curves for moderate PA and PA to strengthen and tone muscles were not significantly different between PHAT and FOY participants. The level of engagement of vigorous PA was not significantly different between experimental conditions; however, the rates of increase for participants in PHAT were higher than those in FOY.
There were no significant differences in growth curve results between experimental conditions for all past month substance abuse behaviour variables, lifetime alcohol use, and lifetime tobacco use. There were significantly higher rates of increase for PHAT participants in lifetime marijuana use (p < 0.0001).
Growth curve modelling indicated that participants in PHAT had significantly more gains in health knowledge than participants in FOY, but the effects on behaviour were modest.
Yes
Sleep Interventions
Quante et al. [57] To assess the acceptability of sleep apps Sleep app use to monitor sleep hygiene. Participants could choose between two commercially available sleep apps: ‘SleepBot’© and ‘SleepTime’©.
Number of participants = 12.
App based 2 weeks None reported
  • Use of the app

  • Effects of the app on sleep behaviour and quality

  • Challenges with the app

  • Desirable components of the app (interview)

There were several barriers identified in relation to the adoption of sleep hygiene interventions, namely reluctance to follow scheduled sleep routines on weekends and concern about “parting” with electronics at bedtime.
Participants were intrigued by the idea of adopting an app-based sleep intervention but were sceptical that they could successfully adopt sleep hygiene practices and were more interested in making changes on school days than on weekends.
The overall feedback on two commercial sleep apps was positive, with a good adherence and engagement rate, and perceived health benefits.
No
Mental Health and PA
Beaulac et al. [87] To promote psychological, social, and physical well-being The intervention was developed from a thorough literature review, consultation with youth and parents, and ongoing dialogue with community partners. Emphasis was placed on improving dance skills and on fostering positive relationships with peers and adult role model.
Number of participants = 67.
Dance instructors (Culture Shock Canada) 13 weeks Socio-Ecological Model
  • The perceived impact of the intervention, in terms of psychological, social, and physical well-being (focus group, interview and questionnaire)

The findings suggested that the community-based intervention was a promising program for the promotion of youth psychological, social, and physical well-being.
The adolescents, parents, and/or personnel described benefits across seven main areas, including dancing and related skills, behaviours (e.g., reduced television viewing), physical well-being, psychological well-being, relationships, respect for others and for diversity, and school performance.
Yes
PA, Diet and Mental Health
Berria et al. [79] To improve components of fitness and body image MVPA, strength and flexibility exercises were increased in PE classes
Students were encouraged to use recess time actively with the availability of balls and ropes.
Educational sessions were provided on PA, health, nutrition and body image
Educational resources used included movie, lectures, confection of posters and music, and cooking workshops
Parents were invited to a night-time healthy eating meeting.
Number of participants = 328.
PE teachers and a nutritionist 13 weeks None reported
  • Predictors of intervention dropout: gender, age, socioeconomic status, PA, screen time, dietary habits, health perception, attitudes and self-efficacy toward PA, perception of the school environment, body image and self-esteem (questionnaire)

In the crude analysis for the entire sample and among students with adequate BMI at baseline, there was a greater probability of dropping out with increasing age and BMI. Students classified as overweight were more likely to drop out with increasing age.
In the adjusted analysis, the association with age remained for the entire sample, including students with adequate BMI and with overweight. In addition, for the overweight students, participation in the intervention during the afternoon period and the higher socioeconomic status were associated with
dropping out of the intervention.
No