ABSTRACT

OBJECTIVE

To examine the effect of the promotion of physical activity during recess on the levels of physical activity, sedentary behaviors, and adiposity of Colombian students.

METHODS

Three schools were randomly selected by an intervention group in Bogotá, Colombia, in 2013: Intervention (Active Module of Active Recess – MARA) + Text Messages (SMS) (MARA+SMS group), intervention (MARA group), control (control group). Intervention was implemented for ten weeks. The duration and intensity of physical activity and sedentary behaviors were measured objectively using accelerometers Actigraph-GT3X+. Adiposity was measured by body mass index and fat percentage. We measured at baseline (T0) and during the tenth week of intervention (T1). We evaluated the effect of the intervention using a difference-in-difference analysis (DID).

RESULTS

We included 120 students (57.5% girls; mean age = 10.5 years; standard deviation [SD] = 0.64). There was a significant increase in the mean daily minutes of moderate to vigorous physical activity in the MARA group (Difference T1-T0 = 6.1 minutes, standard error [SE] = 3.49, p = 0.005) in relation to the control group. There were no significant changes in the minutes of moderate to vigorous physical activity in the MARA+SMS group (Difference T1-T0 = -1.0 minute; SE = 3.06; p = 0.363). The minutes decreased in the control group (Difference T1-T0 = -7.7 minutes; SE = 3.15; p = 0.011). The minutes of sedentary behaviors decreased in the MARA and MARA+SMS groups and increased in the control group (MARA Difference T1-T0 = -15.8 minutes; SE = 10.05; p= 0.279; MARA+SMS Difference T1-T0 = -11.5 minutes; SE = 8.80; p= 0.869; Control Difference T1-T0 = 10.9 minutes; SE = 9.07; p = 0.407). There was a higher participation in the MARA group in relation to the MARA+SMS group (MARA group = 34.4%; MARA+SMS group = 12.1%). There were no significant changes in adiposity at 10 weeks according to difference-in-differences analysis (body mass index p: ΔMARA+SMS group versus Δcontrol group = 0.945, ΔMARA group versus Δcontrol group = 0.847, ΔMARA+SMS group versus ΔMARA group = 0.990; FP p ΔMARA+SMS group versus Δcontrol group = 0.788, ΔMARA group versus Δcontrol group = 0.915, ΔMARA+SMS group versus ΔMARA group = 0.975).

CONCLUSIONS

The Active Module of Active Recess is a promising strategy to increase physical activity levels and decrease sedentary behavior in students. The addition of Text Messages was not associated with increased moderate to vigorous physical activity or changes in adiposity.

School Health; Exercise; Mobile Applications, utilization; Body Mass Index; Sedentary Lifestyle; Health Behavior; Health Promotion

INTRODUCTION

Childhood overweight and obesity are a global public health problem¹1. Karnik S, Kanekar A. Childhood obesity: a global public health crisis. Int J Prev Med. 2012 [cited 2015 Jan 1];3(1):1-7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3278864/
https://www.ncbi.nlm.nih.gov/pmc/article... and at least 10% of the children in the world are overweight or obese²2. Lobstein T, Baur L, Uauy R. Obesity in children and young people : a crisis in public health. Obes Rev. 2004;5 Suppl 1:4-85. https://doi.org/10.1111/j.1467-789X.2004.00133.x
https://doi.org/10.1111/j.1467-789X.2004... . Between 22.5 and 25.9 million children suffer from overweight or obesity in Latin America³3. Rivera JA, Cossío TG, Pedraza LS, Aburto TC, Sánchez TG, Martorell R. Childhood and adolescent overweight and obesity in Latin America: a systematic review. Lancet Diabetes Endocrinol. 2014;2(4):321-32. https://doi.org/10.1016/S2213-8587(13)70173-6
https://doi.org/10.1016/S2213-8587(13)70... , and this number reaches one in six children and adolescents aged between five and seventeen years in Colombia⁴4. Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de la Situación Nutricional en Colombia - ENSIN, 2010. Bogotá (DC): ICBF; 2010.. The promotion of physical activity (PA) and the decrease of the time dedicated to sedentary behaviors (SB) are fundamental in preventing childhood obesity⁵5. Dugan SA. Exercise for preventing childhood obesity. Phys Med Rehabil Clin N Am. 2008;19(2):205-16. https://doi.org/10.1016/j.pmr.2007.11.001
https://doi.org/10.1016/j.pmr.2007.11.00... ^,66. Loprinzi PD, Cardinal BJ, Loprinzi KL, Lee H. Benefits and environmental determinants of physical activity in children and adolescents. Obes Facts. 2012;5(4):597-610. https://doi.org/10.1159/000342684
https://doi.org/10.1159/000342684... . However, 74% of the population aged between 13 and 17 years do not follow the recommendations of PA and 57.9% of the children aged between five and 12 years dedicate two hours per day or more to SB in Colombia⁴4. Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de la Situación Nutricional en Colombia - ENSIN, 2010. Bogotá (DC): ICBF; 2010.^,77. Organización Mundial de la Salud. Recomendaciones mundiales sobre actividad física para la salud. Ginebra: OMS; 2015 [cited 2015 Jan 1]. Available from: http://www.who.int/dietphysicalactivity/factsheet_recommendations/es/
http://www.who.int/dietphysicalactivity/... ^,88. Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de Situación Nutricional en Colombia 2005. Bogotá (DC): ICBF; 2005 [cited 2015 Jan 1]. Available from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/ED/GCFI/Ensin 2005.pdf
https://www.minsalud.gov.co/sites/rid/Li... .

Physical education classes and recess time are fundamental for the promotion of PA in students, since children and adolescents spend between six and eight hours a day in school⁹9. Wechsler H, Devereaux RS, Davis M, Collins J. Using the school environment to promote physical activity and healthy eating. Prev Med. 2000;31(2):S121-37. https://doi.org/10.1006/pmed.2000.0649
https://doi.org/10.1006/pmed.2000.0649... . Consequently, strategies involving recess time are promising interventions for the promotion of PA in students^10–13.

The incorporation of information technologies has shown the potential to promote healthy lifestyles and health-related structural changes, such as text messages (SMS) that encourage healthy behaviors through immediate feedback and advice¹⁴14. Neuhauser L, Kreps GL. eHealth communication and behavior change: promise and performance. Soc Semiot. 2010;20(1):9-27. https://doi.org/10.1080/10350330903438386
https://doi.org/10.1080/1035033090343838... ^,1515. Sharifi M, Dryden EM, Horan CM, Price S, Marshall R, Hacker K, et al. Leveraging text messaging and mobile technology to support pediatric obesity-related behavior change: a qualitative study using parent focus groups and interviews. J Med Internet Res. 2013;15(12):e272. https://doi.org/10.2196/jmir.2780
https://doi.org/10.2196/jmir.2780... .

Policies exist to extend the student journey in Colombia, strengthening areas such as mathematics, natural sciences, and English, but they do not include PA or sports activities¹⁶16. Ministerio de Educación Nacional (CO). Resolución número 4210 de 12 de septiembre de 1996. Bogotá (DC); 1996 [cited 2012 Sep 1]. Available from: http://www.mineducacion.gov.co/1759/articles-96032_archivo_pdf.pdf
http://www.mineducacion.gov.co/1759/arti... . However, Bogota was a model for the promotion of PA in students through district programs aimed at the school community¹⁷17. González SA, Castiblanco MA, Arias-Gómez LF, Martinez-Ospina A, Cohen DD, Holguin GA, et al. Results from Colombia’s 2016 Report Card on Physical Activity for Children. J Phys Act Health. 2016;13(11 Suppl 2):S129-36. https://doi.org/10.1123/jpah.2016-0369
https://doi.org/10.1123/jpah.2016-0369... . Successful local experiences of community programs in urban settings have been described¹⁸18. Torres A, Díaz MP, Hayat MJ, Lyn R, Pratt M, Salvo D, et al. Assessing the effect of physical activity classes in public spaces on leisure-time physical activity: “Al Ritmo de las Comunidades”: a natural experiment in Bogotá, Colombia. Prev Med. 2016;103 Suppl: S51-58. https://doi.org/10.1016/j.ypmed.2016.11.005
https://doi.org/10.1016/j.ypmed.2016.11.... ^,1919. Torres A, Sarmiento OL, Stauber C, Zarama R. The Ciclovia and Cicloruta programs: promising interventions to promote physical activity and social capital in Bogotá, Colombia. Am J Public Health. 2013;103(2):e23-30. https://doi.org/0.2105/AJPH.2012.301142
https://doi.org/0.2105/AJPH.2012.301142... , but studies on the impact of interventions together with SMS to promote PA and decrease SB in student settings are limited. Therefore, the objective of this study was to examine the effect of a intervention for the promotion of PA during recess, intensified by a SMS strategy, on the levels of PA, SB, and adiposity in students from Bogotá.

METHODS

This is a randomized community trial carried out with fifth grade students from three schools located in San Cristóbal in Bogotá, DC, Colombia, between July and November 2013.

The included schools were selected from the 20 eligible schools of the International Study of Childhood Obesity, Lifestyles, and the Environment (ISCOLE)²⁰20. Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, et al. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013;13:900. https://doi.org/10.1186/1471-2458-13-900
https://doi.org/10.1186/1471-2458-13-900... . We performed a previous random sampling with the dimensions of socioeconomic level (1, 2, and 3), number of students (1,200–3,400), level of self-reported PA in a previous study (4.9%–11.8% of compliance with the recommendations of moderate to vigorous physical activity [MVPA]), and distance from the school to the Ciclovia (< 1 km). The Ciclovia is a program which temporarily closes the streets to all motorized transport allowing only the access to persons for recreational activities²¹21. Alcaldía Mayor de Bogotá, Instituto Distrital de Recreación y Deporte. Muévete Escolar: “un presente activo, por un futuro saludable”. Bogotá (DC): IDRD; 2017 [cited 2018 Feb]. Available from: http://www.idrd.gov.co/sitio/idrd/node/496
http://www.idrd.gov.co/sitio/idrd/node/4... . The number of included schools was determined by the availability of resources for the new implementation of the Active Module of Active Recess (MARA) by the District Institute of Recreation and Sport (IDRD).

The intervention was part of the multi-component program named Movam Se Estudantes of the IDRD of Bogotá. This strategy seeks to promote PA in students by integrating elements, structured activities, and supervision. The activities were designed to improve cardiovascular capacity, speed, muscle strength, coordination, and teamwork skills²¹21. Alcaldía Mayor de Bogotá, Instituto Distrital de Recreación y Deporte. Muévete Escolar: “un presente activo, por un futuro saludable”. Bogotá (DC): IDRD; 2017 [cited 2018 Feb]. Available from: http://www.idrd.gov.co/sitio/idrd/node/496
http://www.idrd.gov.co/sitio/idrd/node/4... .

The MARA module transformed the usual recess space with standardized activities lasting 20 minutes from the 30 minutes of the usual recess time, three times a week for 10 weeks. The MARA module included 30 PA sessions that combined games with elements such as bows, balls, hoops, ladders, parachutes, tablecloths, rumba, and gaming sessions. In case of unforeseen circumstances to carry out the programmed activity, an alternative was used. All sessions were directed and supervised by the PA managers of the IDRD^aaFor the material with the programmed activities, please contact the corresponding author..

The MARA+SMS group received a daily SMS to promote the participation of the students in the intervention and its dissemination among partners, to motivate the performance of the PA in the context outside school and with the family, and to encourage a healthy diet. The SMS written by expert psychologists were sent to the cell phones of parents and some students, according to the approval of parents and the instruction of the Ethics Committee of the Universidade dos Andes. Parents were asked to show their children every SMS received, if the participant did not receive it directly.

The three selected schools were randomly chosen for an intervention or control group: intervention at recess time (MARA) together with SMS (MARA+SMS group), intervention only (MARA group), and control group (control group) (Figure 1) without any intervention. Data were collected in two periods: before the beginning of the intervention (T0) and during the tenth week of intervention (T1). There was no risk of contamination for the control group as the school was located more than 1 km from the intervention schools, and the implementation of the strategy depended on IDRD personnel.

The levels of PA and SB were objectively measured using accelerometers Actigraph GT3X+ (ActiGraph, Pensacola, FL). The accelerometer was used in an elastic belt over the right midaxillary line. Students were instructed to use the accelerometer 24 hours a day for at least seven days, after one day of familiarization, including two weekend days. The minimum acceptable amount of valid accelerometry data included three weekdays, with at least 10 hours of daily use. In the work days, we did not take into account weekend days, since the evaluated intervention was performed on weekdays. The data were compiled with a sampling frequency of 80 Hz, downloaded in one-second epochs and grouped in 15-second epochs for analysis²²22. Barreira TV, Schuna JM, Tudor-Locke C, Chaput JP, Church TS, Fogelholm M, et al. Reliability of accelerometer-determined physical activity and sedentary behavior in school-aged children: a 12-country study. Int J Obes Suppl. 2015;5 Suppl 2:S29-35. https://doi.org/10.1038/ijosup.2015.16
https://doi.org/10.1038/ijosup.2015.16... . After data collection, we validated the time of use with software R3.2.3. According to Evenson cut-off points, we defined MVPA as ≥ 574 counts per 15 seconds and physical inactivity as ≤ 25 counts per 15-second epochs²³23. Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557-65. https://doi.org/10.1080/02640410802334196
https://doi.org/10.1080/0264041080233419... . We encouraged the daily use of the accelerometer with decals that the students put on these devices or their journals.

We performed the following anthropometric measurements: size, weight, fat percentage (FP), abdominal perimeter, and the middle third of the arm. Participant size was measured using the portable stadiometer Seca 230 (Hamburg, Germany), using the Frankfort plan. Weight and FP, calculated by bipolar electrical bioimpedance (EBI), were measured using the Portable Body Composition Analyzer Tanita SC-240 (Arlington Heights, IL). Each measurement was taken twice and the mean was used for the analyses. Body mass index (BMI) was calculated using the formula weight (kg)/height² (m²). We determined the nutritional status of the children according to BMI using the z-scores derived from the standard deviation (SD) of the measurement, established in the growth patterns of the World Health Organization (WHO)²⁴24. WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards based on length/height, weight and age. Acta Paediatrica. 2006;95(S450):76-85. https://doi.org/10.1111/j.1651-2227.2006.tb02378.x
https://doi.org/10.1111/j.1651-2227.2006... ; we grouped risk of thinness and thinness.

The sociodemographic variables included were: sex, age, socioeconomic level, education level, and marital status of the parents. In Bogotá, socioeconomic level is classified from one (low-low) to six (high) according to the characteristics of the households, being 1-2-3 the lowest levels²⁵25. Departamento Administrativo Nacional de Estadística (CO). Estratificación socioeconómica para servicios públicos domiciliarios. Bogotá (DC): DANE; 2015 [cited 2012 Sep 1]. Available from: http://www.dane.gov.co/index.php/servicios-al-ciudadano/servicios-de-informacion/estratificacion-socioeconomica#generalidades
http://www.dane.gov.co/index.php/servici... . This information was reported by parents using the sociodemographic and family information questionnaire. Age was calculated with the date of birth and the date of the anthropometric measurements. We evaluated behaviors related to PA, physical inactivity, and eating habits using the diet and lifestyle questionnaire designed for the ISCOLE study and adapted for this study²⁰20. Katzmarzyk PT, Barreira TV, Broyles ST, Champagne CM, Chaput JP, Fogelholm M, et al. The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE): design and methods. BMC Public Health. 2013;13:900. https://doi.org/10.1186/1471-2458-13-900
https://doi.org/10.1186/1471-2458-13-900... . This questionnaire was administered by a researcher to each participant during intervention days. Some questions related to daily PA and physical inactivity were adapted from the American Youth Risk Behavior Surveillance System (YRBSS)²⁶26. Centesr for Disese Control and Prevention. Youth Risk Behavior Surveillance System (YRBSS). Atlanta: CDC; 2012 [cited 2012 Sep 1]. Available from: http://www.cdc.gov/healthyyouth/data/yrbs/index.htm
http://www.cdc.gov/healthyyouth/data/yrb... . We designed a component to question the time and type of activities during recess and a satisfaction module about MARA.

Statistical analysis was performed in four phases. First, we carried out a univariate analysis to describe the sociodemographic characteristics, type and frequency of the activities during recess, consumption of food, and anthropometric characteristics. Daily and weekday PA and SB were evaluated as a continuous variable, in mean minutes, with previous log transformation, since the data did not present a normal distribution. Second, we evaluated heterogeneity between groups (MARA+SMS group versus MARA group versus control group) using Fisher homogeneity test for categorical variables and ANOVA for continuous variables. Third, we performed a bivariate and multivariate analysis with intention-to-treat analysis for students with valid accelerometry data using mixed multilevel models – individual and school – adjusted for sex and age. We evaluated the effect of the intervention using a difference-in-differences analysis (DID) of absolute values, with the models proposed in the previous step, to compare the changes in the levels of PA, SB, and adiposity over time (T0 versus T1) among the three study groups. All possible combinations were considered: MARA+SMS group versus control group, MARA group versus control group, MARA+SMS group versus MARA group.

We compared the intensity of some types of activities implemented in MARA by plotting the mean counts per minute of the assistants of a session of each activity in one of the schools involved, using software R3.2.3. Statistical analysis was performed in SAS 9.3 and Stata 13. Data on the continuous PA variables were expressed as means.

The strategy implementation processes were evaluated with eleven semi-structured interviews with the teachers of the participating schools and members of the IDRD team. These interviews were recorded in audio and transcribed verbatim. We took notes when the interviewee did not agree to be recorded. We reviewed the project documents, including protocol, meeting minutes, field work formats, service lists, and SMS. We qualitatively evaluated the process, context, and conditions of the research implementation in these documents. In addition, we analyzed the service lists to understand the dynamics of student participation in the proposed activities.

We sent informed consents to the schools and parents or guardians of potential participants to authorize their inclusion in the study. Similarly, students signed an informed consent accepting their participation. The study was approved by the ethics committee of the Universidade dos Andes (Process 214-2013).

RESULTS

The total sample consisted of 184 students, and 45.7% complied with the recommendations of PA, according to the mean daily MVPA obtained with accelerometry (MARA+SMS group = 43.9%; MARA group = 31.7%; control group = 59.7%; p = 0.844).

There were no significant differences between groups, except for socioeconomic level. The MARA+SMS group had a higher percentage of boys living in level 3 households (Table 1).

The data analysis of the reported AP, accelerometry, and adiposity was performed with 120 students, 36.7% of the MARA+SMS group, 28.3% of the MARA group, and 35.0% of the control group. The control group reported a higher percentage of behaviors associated with PA in relation to the MARA+SMS and MARA groups during most of the recess (p = 0.039) (Table 2).

The prevalence of overweight was 19.3% in the MARA+SMS group, 23.3% in the MARA group, and 16.4% in the control group (p = 0.867). The FP was in an optimal range for most students (MARA+SMS group 75.4%; MARA group 76.7%; control group 64.2%; p = 0.111). There were no statistically significant differences between the groups for the indicators of adiposity evaluated neither for the daily consumption of fruits and vegetables or high-calorie food reported (Table 1).

Between baseline and week 10, daily minutes of MVPA were kept in the MARA+SMS group (p = 0.702), increased 6.1 (standard error [SE] = 3.49) minutes in the MARA group (p = 0.044), and decreased 7.7 (SE = 3.15) minutes in the control group (p = 0.005) (DID ΔMARA+SMS group versus Δcontrol group; p = 0.005) (DID ΔMARA group versus Δcontrol group; p = 0.005). This trend was kept in the mean minutes of MVPA on weekdays.

The daily minutes of SB decreased 11.5 (SE = 8.8) minutes in the MARA+SMS group (p = 0.869) and 15.8 (SE = 10.05) minutes in the MARA group (p = 0.279), and it increased 10.9 (SE = 9.07) minutes in the control group (p = 0.407) (DID ΔMARA+SMS group versus Δcontrol group; p = 0.003) (DID ΔMARA group versus Δcontrol group; p = 0.003). This trend was kept in the mean minutes of SB on weekdays.

No significant effect was observed on BMI or FP in any of the three groups evaluated (DID BMI p ΔMARA+SMS group versus Δcontrol group = 0.945, ΔMARA group versus Δcontrol group = 0.847; DID FP p ΔMARA+SMS group versus Δcontrol group = 0.788, ΔMARA group versus Δcontrol group = 0.915) between baseline and week 10 (Table 3).

Parachute activity reached the highest levels of PA compared to other activities (Figure 2).

Preference was reported for activities that included games with balls (37.1%), games with parachute (21.4%), and rumba (15.7%). Additionally, 47.2% identified MARA as an opportunity to do PA during recess and 94.4% reported interest in keeping doing it.

The environmental, safety, and time factors were the main reasons for no participation in MARA. Approximately 40.0% of the students reported not doing any PA because of an environmental factor (26.6% because of the cold; 12.5% because of the heat). Approximately 10.0% thought it was dangerous to play at recess. Approximately 10.0% of the children reported that recess time and facilities were not enough.

The physical environment, characteristics of the student (ages, preferences, course composition), and type of activity were identified as relevant factors that affected MARA acceptance and participation. The most successful activities identified by the teachers and members of the IDRD were those involving the following elements: parachutes, bows or balls, those related to skills, running, with a lot of movement, and rumba.

Another important factor associated with the implementation and acceptability of the intervention was the work of PA managers in the follow-up of the intervention. Specifically, the constant presence of a team of managers created a safe environment for students, which allowed them to identify with MARA and keep their participation over time. However, the presence of younger students in the MARA was identified as a factor so that the target age group of MARA did not get involved.

Teachers reported that the SMS strategy worked to reinforce the self-esteem of students by their recognition from someone perceived as an external authority figure (the research group). Barriers were identified that might mitigate the effect of the SMS, including difficulties in receiving SMS, lack of interest in MARA or SMS, and perception of an inadequate physical environment.

DISCUSSION

The main finding of this study is the potential of MARA to increase the minutes of daily MVPA and decrease the minutes of SB in students. The increase of 6.1 minutes in daily MVPA reported in the MARA group represents 10.1% of the recommended daily time for this age group, together with a decrease between 11.5 and 15.8 minutes in SB in the groups with intervention. These results contrast with the decrease in the minutes of MVPA and the increase of SB in the control group. Regardless of the group, there was no effect on the indicators of adiposity.

Our results are consistent with those reported in previous studies on interventions during recess¹²12. Howe CA, Freedson PS, Alhassan S, Feldman HA, Osganian SK. A recess intervention to promote moderate-to-vigorous physical activity. Pediatr Obes. 2012;7(1):82-8. https://doi.org/10.1111/j.2047-6310.2011.00007.x
https://doi.org/10.1111/j.2047-6310.2011... ^,1313. Scruggs PW, Beveridge SK, Watson DL. Increasing children’s school time physical activity using structured fitness breaks. Pediatr Exerc Sci. 2003;15(2):156-69. https://doi.org/10.1123/pes.15.2.156
https://doi.org/10.1123/pes.15.2.156... . Howe et al.¹²12. Howe CA, Freedson PS, Alhassan S, Feldman HA, Osganian SK. A recess intervention to promote moderate-to-vigorous physical activity. Pediatr Obes. 2012;7(1):82-8. https://doi.org/10.1111/j.2047-6310.2011.00007.x
https://doi.org/10.1111/j.2047-6310.2011... have shown that the participation of students in an intervention with structured recess could contribute with an increase of 8±1.1 minutes of MVPA, that is, an increase from 6.9 (SD = 0.8) to 14.9 (SD = 0.9) minutes in a 30-minute recess. Ridgers et al.²⁷27. Ridgers ND, Stratton G, Fairclough SJ, Twisk JWR. Long-term effects of a playground markings and physical structures on children’s recess physical activity levels. Prev Med. 2007;44(5):393-7. https://doi.org/10.1016/j.ypmed.2007.01.009
https://doi.org/10.1016/j.ypmed.2007.01.... have found that an intervention with redesign of play spaces during recess resulted in an increase of 4.5% in MVPA and 2.3% in vigorous PA during recess. In addition, a systematic review has included nine controlled trials that have evaluated interventions to promote PA during recess. This study has reported an increase in MVPA (between 4.0% and 12.9%) when they were implemented with play elements and marking of areas²⁸28. Parrish AM, Okely AD, Stanley RM, Ridgers ND. The effect of school recess interventions on physical activity: a systematic review. Sports Med. 2013;43(4):287-99. https://doi.org/10.007/s40279-013-0024-2
https://doi.org/10.007/s40279-013-0024-2... .

On the other hand, the lack of effect on the indicators of adiposity is debatable in light of the available evidence. The lack of consensus was attributed to the high heterogeneity of duration, intensity, and type of PA of the interventions²⁹29. Guerra PH, Nobre MRC, Silveira JAC, Taddei JAAC. The effect of school-based physical activity interventions on body mass index: a meta-analysis of randomized trials. Clinics (Sao Paulo). 2013;68(9):1263-73. https://doi.org/10.6061/clinics/2013(09)14
https://doi.org/10.6061/clinics/2013(09)... . A meta-analysis has included 18 studies with interventions in primary school students involving a central component of PA and lasting between 12 and 72 months. This study has exposed the potential of these interventions for a healthy BMI despite the high heterogeneity among the included studies³⁰30. Mei H, Xiong Y, Xie S, Guo S, Li Y, Guo B, et al. The impact of long-term school-based physical activity interventions on body mass index of primary school children: a meta-analysis of randomized controlled trials. BMC Public Health. 2016;16:205. https://doi.org/10.1186/s12889-016-2829-z
https://doi.org/10.1186/s12889-016-2829-... . Therefore, it is possible that the duration of MARA has not been enough to achieve changes in the indicators of adiposity.

The participation of children in PA was associated with entertainment and being appropriate for age³¹31. Landry BW, Driscoll SW. Physical activity in children and adolescents. PMR. 2012;4(11):826-32. https://doi.org/10.1016/j.pmrj.2012.09.585
https://doi.org/10.1016/j.pmrj.2012.09.5... . In this study, we obtained a percentage of participation of 34.4% in the MARA group compared to 12.1% in the MARA+SMS group. This suggests an association between participation and increased minutes of PA. According to the satisfaction survey and the process analysis, the perception of disagreement between the age of the students and the proposed activities, as well as the physical environment, negatively affected the participation in MARA. The MARA group had a better physical environment in terms of size and accessibility compared to the MARA+SMS group. This difference could affect the participation in each group, since the students in schools with better physical surroundings got involved up to 20 minutes more in MVPA per week³²32. Button B, Trites S, Janssen I. Relations between the school physical environment and school social capital with student physical activity levels. BMC Public Health. 2013;13:1191. https://doi.org/10.1186/1471-2458-13-1191
https://doi.org/10.1186/1471-2458-13-119... ^,3333. Knuth AG, Hallal PC. School environment and physical activity in children and adolescents: sytematic review. Braz J Phys Act Health. 2012;17(6):463-73. https://doi.org/10.12820/RBAFS.V.17N6P463-473
https://doi.org/10.12820/RBAFS.V.17N6P46... .

The SMS communication strategy was not associated with an increase in the minutes of PA or changes in the indicators of adiposity. In this sense, the success of this strategy is in its ability to reach an emotional level in the person, in addition to communicating a risk¹⁴14. Neuhauser L, Kreps GL. eHealth communication and behavior change: promise and performance. Soc Semiot. 2010;20(1):9-27. https://doi.org/10.1080/10350330903438386
https://doi.org/10.1080/1035033090343838... . In this study, although 97.7% of the students reported receiving the SMS, they operated in a social context where the decision to participate in MARA was affected by other factors, among them, interest in the activities offered.

This study presented limitations. Only three schools were evaluated, given the limited resources for the new implementation of MARA by the IDRD. Future studies should consider a larger sample. The estimated difference in minutes of PA over the 10 weeks included all students with valid accelerometry data. However, the highest percentage of students participating in MARA with accelerometer was 47.0%. Consequently, the sample evaluated with accelerometry includes students who probably did not participate in the proposed activities. For this reason, the increase in daily minutes of MVPA could not be attributed solely to MARA. However, we can suggested that it has the potential to make students aware of the practice of PA in other settings and times of the day.

The number of MARA sessions was fulfilled according to the methodology exposed, despite the interruptions in its implementation because of the temporary work stoppage in the schools. During the year, there were protests for better working conditions for teachers in the public sector, which led to the interruption of the classes for several days.

The MARA transformed the recess space, adapting to the available infrastructure and incorporating elements of the Colombian culture. However, the interpretation of these results should be made considering the context of a pilot study. Therefore, the number of schools evaluated and the intervention time limit the generalization of the results. Future interventions should consider a previous study of the profile of the students so that the activities offered better fit their interests and implementation should last at least six months. The redesign of the intervention should consider the inclusion of teachers or students in social service of each institution trained by the IDRD.

This is the first time that an objective evaluation of this type of intervention has been carried out in a randomized community trial in Bogotá with the local sports and recreation agency (IDRD). This alliance enabled these results and lessons learned to transcend from the inquiring scope to the practice. The intervention was incorporated with the support of policies in each school and a 40-week PA pedagogical plan was designed in some schools in Bogotá.

In Latin America, student interventions focused on physical education classes were identified as the only community intervention to promote PA with solid evidence for the development of recommendations³⁴34. Ribeiro IC, Parra DC, Hoehner CM, Soares J, Torres A, Pratt M, et al. School-based physical education programs: evidence-based physical activity interventions for youth in Latin America. Glob Health Promot. 2010;17(2):5-15. https://doi.org/10.1177/1757975910365231
https://doi.org/10.1177/1757975910365231... . This study provides evidence on the effectiveness of MARA to increase PA and decrease daily physical inactivity during recess in the context of a vulnerable sector of the Colombian capital. These findings indicate the potential to escalate a similar intervention to other middle-income countries. In addition, these results could be the focus of a national public policy to protect the active recess of students as a unique opportunity, free of barriers to accessibility, to engage them in more active lifestyles.

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