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The effect of the MyBFF@school program on cardiorespiratory fitness in overweight and obese primary schoolchildren: a cluster randomized controlled trial
成人头条 volume听24, Article听number:听3623 (2025)
Abstract
Background
MyBFF@school program consisting physical activity in the formed small-sided games (SSG), nutrition and psychology education was designed to combat obesity among schoolchildren in Malaysia. It was expected to improve cardiorespiratory fitness, hence, contributing to obesity treatment and prevention. Thus, we aimed to study the effects of the MyBFF@school program on the cardiorespiratory fitness of overweight and obese primary schoolchildren.
Methods
Twenty-three out of 1196 government primary schools in central Peninsular Malaysia participated in this cluster-randomized control study. Schoolchildren aged 9鈥11 years with a body mass index (BMI) z-score greater than +鈥1 SD (WHO) were eligible for the study. The intervention group participated in the MyBFF@school program while the control followed the existing standard curriculum. The primary outcome was cardiorespiratory fitness using physical fitness score (PFS) measured by the modified Harvard step test. Data were collected at baseline, month-3 and month-6 and were analyzed according to the intention-to-treat principle using mixed linear models.
Results
A total of 954 schoolchildren completed six months follow up, with 439 (n鈥=鈥439) in the intervention group (n鈥=鈥塻even schools), while 515 (n鈥=鈥515) in the control group (n鈥=鈥16 schools). In the first three months, there was significant within-group PFS improvement in overall (both), girls (both) and obese (control). Comparing between-groups, the mean differences favored the control in most parameters, but were not significant: overall (-0.15(-0.75, 0.45), p鈥=鈥0.83), boys (-0.07(-0.98, 0.83), p鈥=鈥0.83), girls (-0.27(-1.27, 0.73), p鈥=鈥0.81), overweight (-0.16(-1.28, 0.94), p鈥=鈥0.97), obese (-0.05(-1.03, 0.92), p鈥=鈥0.93), morbidly obese (-0.68(-2.43, 1.05), p鈥=鈥0.26), urban (0.07(-0.79, 0.94), p鈥=鈥0.45), and rural (-0.35(-1.34, 0.62), p鈥=鈥0.30). At month-six, the within-group improvements maintained. However, the mean differences now favored the intervention group although they remained not significant: overall (0.05(-0.98, 1.07), p鈥=鈥0.69), boys (0.06(-1.35, 1.46), p鈥=鈥0.86), girls (0.10(-1.31, 1.51), p鈥=鈥0.74), overweight (0.15(-1.07, 1.36), p鈥=鈥0.93), obese (0.28(-0.98, 1.55), p鈥=鈥0.75), morbidly obese (-0.79(-2.74, 1.15), p鈥=鈥0.47), urban (0.61(-0.56, 1.77), p鈥=鈥0.47), and rural (-0.69(-2.52, 1.14), p鈥=鈥0.17).
Conclusions
MyBFF@school program showed positive trend in cardiorespiratory fitness changes especially after six months. MyBFF@school intervention program has the potential to combat obesity in primary schoolchildren and should be at least six months.
Trial registration
Clinical trial number: NCT04155255, November 7, 2019 (Retrospective registered). National Medical Research Register: NMRR-13-439-16563. Registered July 23, 2013. The intervention program was approved by the Medical Research and Ethics Committee (MREC), Ministry of Health, Malaysia and, the Educational Planning and Research Division (EPRD), Ministry of Education, Malaysia. It was funded by the Ministry of Health, Malaysia.
Background
Obesity is currently a serious global issue. The World Health Organization (WHO) stated that at least 2.8 million people die each year resulting from overweight or obesity. The mortality rate increases with degrees of overweight as measured by body mass index (BMI) [1]. Furthermore, a systematic evaluation had found a rapid increase in elevated BMI and the related disease burden since the last three decades [2]. For children aged 5鈥19 years, overweight is defined by their BMI for age (BMI z-score) of greater than 1 standard deviation (SD) above the WHO Growth Reference Median, while obese has more than 2 SD above Growth Reference Median [3].
The prevalence of overweight and obese individuals is also escalating rapidly in numerous Asian countries, including Malaysia. The Malaysian National Health and Morbidity Survey (NHMS) 2011 found the prevalence rate of obesity for children aged below 18 years-old was 5.7% [4]. Subsequent NHMS survey (2015) showed that the prevalence rate has increased to 11.9% [5] and latest (NHMS, 2019) revealed the rate of 29.8% (26.2% of girls and 33.2% of boys) [6]. This worrying situation requires urgent attention and prompt action.
School-based programs have been shown to be effective in preventing and treating overweight and obesity in schoolchildren and have been recommended in several guidelines [7, 8]. Lifestyle intervention based on nutrition, behavior changes, and exercise are commonly used to treat obesity in children [8, 9]. Exercise increases physical activity which is negatively associated with the risk of obesity [10]. Unfortunately, intervention to increase physical activity generally yields weak or no effect [11]. Hence, there is a need to find an effective intervention that includes the promotion of physical activity [12]. We introduced the MyBFF@school program to combat obesity in Malaysian schoolchildren. The program was composed of physical activity, nutrition and psychology educational components. The physical activity consisted of small-sided games in which the overweight and obese children were assigned into small groups and played football, handball and fun games [13]. The SSG would promote physical activity, improve cardiorespiratory fitness and is expected to help in reducing adiposity [14]. In general, overweight and obese children are likely to have relatively low physical fitness levels. A previous study has shown the negative association between BMI and physical fitness [15]. A study among 7鈥11 years old Brazilian children found that overweight and obese children perform poorly in cardiorespiratory fitness, and muscular strength and endurance [16]. Furthermore, previous studies have shown that moderate to higher levels of cardiorespiratory fitness are associated with lower abdominal adiposity [17], whereas body fat percentages and BMI have negative associations with physical fitness [18]. Another study showed that cardiorespiratory fitness was significantly higher in normal weight children aged 8鈥13 years and has a negative association with BMI [19]. A physically fit individual would be able to carry out daily tasks with more energy and less fatigue, hence can spend more time in physical activity [20]. Thus, increase in physical fitness is likely to benefit overweight and obese children. Therefore, the aim of this study is to investigate the effects of MyBFF@school program on the cardiorespiratory fitness of overweight and obese primary schoolchildren.
Methods
Study design
We conducted a randomized cluster-controlled trial on schoolchildren as described in Mokhtar et al. [13]. A total of 23 government primary schools were randomly selected across three states in central Peninsular Malaysia (Wilayah Persekutuan Kuala Lumpur, Selangor, and Negeri Sembilan). These schools were randomized into the MyBFF@school intervention (seven schools) and control groups (16 schools) (Fig. 1). Schoolchildren aged 9鈥11 years (Standard Three to Five) with a body mass index (BMI) z-score greater than +鈥1 SD (WHO) were eligible for the study. The MyBFF@school intervention group participated in a six months intervention program composed of sessions of 30 min of small-sided games (SSG) replacing regular physical education sessions, and an additional 1 h of nutrition alternating with psychology education replacing their weekly co-curriculum activities. The standard co-curriculum activities [21] were conducted once a week, usually on Wednesday afternoon i.e. during school hours. Hence, a typical week in the intervention group would have two sessions of SSG and one session of either nutrition or psychology module. The control group underwent the standard physical education sessions and co-curriculum activities. All sessions were done within school hours. The eligibility, assessment and module of the participants were described in detail in Mokhtar et al. [13]. The calendar year in 2016 started with school opening on January 4th, 2016. The first two weeks of school were hectic with administrative matters for the school, schoolchildren and their parents. We started collecting baseline data at the end of January until mid-February 2016. The intervention started in mid-February and ended in mid-August. Within this period, there were holidays: mid-term break in March for one week; mid-term break at the end of May and early June for two weeks. The month-3 data were collected in mid-May before their mid-term break and the month-six data were collected between mid-August until early September 2016.
MyBFF@school physical activity component
The physical activity component of MyBFF@school program is the small-sided games (SSG). The SSG sessions were conducted during the regular physical education periods. Each session of SSG lasted for 30 min and performed twice per week giving a total of 60 min per week. During the SSG session, the schoolchildren were divided into several teams with each team consisting of about four to seven players. Each team has schoolchildren from different classes and gender. Each SSG session started with 5 min of warm up (mainly dynamic stretching and running), followed by basic skills (kicking, dribbling, passing, shooting) and gameplay (football, handball, and fun games) for 20 min. The last 5 min were spent on cooling down. The SSG were played in a smaller field measuring approximately 14 m 脳 9 m. The main sport played was football besides handball and other fun games (e.g. monkey ball, dodgeball). A trained personnel (research assistant) facilitated the SSG throughout. The trained personnel had undergone a few training sessions prior to the study period, and trained by a qualified football coach who was also a school teacher. First aid kit for emergencies was available at the sideline during each SSG session. Other safety measures such as checking on self-reported health status, weather and equipment assessment, proper sports attire, and hydration were strictly adhered for SSG. In the event of bad weather or haze, SSG was played indoors or in a roofed area e.g. an open hall. In addition, medical doctors from the research team were available to render help by referral in case of injury or illness.
SSG differed from the standard physical education program as the emphasis was more on play, touch and run within the small field. In a previous study, SSG played for 40 min, three times a week (a total of 120 min/week), showed improvement in cardiovascular fitness, muscle growth and strength that were able to be maintained for a long period of time in children [22]. In our study, the SSG was played half of this volume as the allowed time by school authority was the time slot for Physical Education classes. Meanwhile, the standard program focused more on developing basic movement and game skills and emphasized on correct technique. From our observation, there was less game play in the standard school program as compared to SSG. The sports in the syllabus included several popular games including football, netball, racquet sports, and track and field [23, 24]. We hypothesized that the standard program may not be sufficient for overweight and obese children as greater amount of physical activity is required for weight loss and maintaining it.
Anthropometric measurements
Height was measured using a mobile stadiometer (Seca 217, Seca GmbH & Co. KG, Germany) and weight was measured using a digital weight scale (Tanita HD-319, Tanita Co., Japan). Body mass index corrected for age, or BMI z-score, was calculated from the height and weight values using the WHO anthropometric calculator (World Health Organization). The weight categories namely overweight, obese, and morbidly obese were defined by BMI z-scores above 1, 2, and 3 SDs, respectively, adjusted for age and gender according to the WHO BMI chart (2008) [25]. Abdominal obesity was defined as a WC of the 90th percentile or higher on the Malaysian WC chart [26]. From the total screened, 3516 of them had BMI z-score more than +鈥1 SD (WHO standard) and eligible for the study. Of these, 1397 assented and given consent by parent/guardian to participate. Their body composition including percentage body fat and skeletal muscle mass were then measured using bioelectrical impedance analyzer (InBody 720, InBody Co. Ltd., Seoul, Korea).
Physical activity, physical fitness and cardiorespiratory fitness
Physical activity is defined by the World Health Organization (WHO) as any bodily movement produced by skeletal muscles that requires energy expenditure [27] and is commonly described by four dimensions i.e. frequency, duration, intensity, and mode [28]. Whereas physical fitness comprises cardiorespiratory endurance, muscle endurance and muscle strength, flexibility, balance, agility, and coordination [29]. Physical activity is known to improve physical fitness particularly cardiorespiratory and muscular fitness [27]. Cardiorespiratory fitness is sometimes referred as cardiorespiratory endurance, cardiovascular fitness, aerobic capacity, and aerobic fitness [30]. Thus, it can be derived that physical activity, particularly moderate and vigorous intensity, could improve cardiorespiratory fitness which is a component of physical fitness. For the purpose of our study, cardiorespiratory fitness was measured as a physical fitness score by using modified Harvard step test.
Modified Harvard step test
The Harvard step test is an aerobic fitness test developed during World War II in the Harvard Fatigue Laboratories which is easy to perform and requires minimal equipment [31]. Meanwhile, a modified Harvard step test has been modified from the original Harvard step test which commonly used to test dynamic fitness [32] i.e. the physical potential before sports training, and monitoring physical fitness.
The modified Harvard step test has been regularly used to measure the cardiorespiratory fitness in the general population including schoolchildren and adolescents [33,34,35]. The test has been shown to be moderately reliable with intraclass correlation coefficient of 0.62 and is recommended from other aerobic (cardiorespiratory) fitness tests to be used in sports and occupational settings. The other more reliable tests like 1-mile track walk test, 12-minute run test and interval shuttle runs require a larger area, time consuming and influenced by the subject鈥檚 motivation [35]. The cardiorespiratory fitness is calculated based on heart rate response toward a standard, submaximal exercise [36]. Furthermore, the post-exercise heart rate has been shown to be useful in determining cardiorespiratory fitness in children aged 6鈥12 years old [37]. Statistically significant correlations were observed between VO2max and the step test (r = 鈭0.549) in children aged 10鈥17 (mean age (SD) was 12.8 (1.9) years) [38]. Various submaximal step tests have been validated for the use in children and adolescents in the literature [39,40,41]. In the modified Harvard step test, the sum of three post-exercise pulse counts are used. Participants would undergo three stages of the test: resting, stepping and post-exercise rest. During the resting stage, the participant sat on a chair for 5 min and a finger pulse oximeter (Nonin GO2 9570, Nonin Medical Inc., USA) was applied on the participant鈥檚 finger to monitor their pulse rate. Next, in the stepping stage, the participant was instructed to step up and down with both feet over a step box with 30 cm height and 42 cm width [42, 43]. The tempo followed a 120 beats per minute metronome guiding the participant to perform 30 steps per min for 5 min or until the participant is unable to continue. The pulse rate and oxygen saturation were monitored and recorded throughout the test. The test would be stopped if the participant鈥檚 heart rate was above 200 beats per minute, had difficulty in breathing, SpO2 less than 90% or unable to finish. The test was conducted by trained personnel led by sports medicine doctors. Upon completion, the participant was instructed to sit down and rest. Finally, in this third (post-exercise) stage, the heart rate and oxygen saturation were taken at 0, 1, and 2 min. Afterwards, the physical fitness score (PFS) was calculated using the following formula: (total duration in seconds divided by the sum of post-exercise heart rate at 0, 1, and 2 min) 脳 100 [33, 43,44,45]. For example, a participant who completed 5 min of the test with post-exercise heart rates of 140, 130, 120 at 0, 1 and 2 min bpm respectively scores a PFS [(5鈥壝椻60 s) / (140鈥+鈥130鈥+鈥120)] 脳 100鈥=鈥76.92. For the purpose of this study, the score was rounded at two decimal places for the use of the analysis.
Statistical analysis
All outcomes were analyzed according to the intention-to-treat principle and were reported after three and six months from baseline. Analysis were based on intention-to-treat, and multiple imputation methods were applied for the missing data at month-three and month-six. All statistical analyses were carried out using IBM Statistical Package for Social Science for Windows, Version 24.0. Normality of continuous data was tested using the Kolmogorov鈥揝mirnov test. All continuous variables were expressed as mean鈥壜扁塻tandard deviation (SD). Baseline means were compared between groups using the independent samples t-test. Mixed linear models with group (intervention/control) as fixed effect and school as random effect were used to evaluate the effectiveness after three and six months of intervention. The intracluster correlation coefficient (ICC) was also estimated.
Results
The total number of schoolchildren who assented and were given consent by their parents or guardian was 1397. Of these 1397 children only 954 children completed the baseline physical assessment with 439 children were in the intervention group, while 515 in the control group. The remaining children did not complete the study due to being absent from school, self-reported unwell, time constraint and not keen for physical fitness testing (voluntary refusal) on the assessment day. The baseline characteristics of the groups are presented in Table 1. All baseline characteristics of the intervention and control groups did not differ significantly except for the age in which the intervention is slightly less than the control (9.82(0.85) years vs. 9.93(0.85), p鈥=鈥0.04). Tables 2, 3 and 4 present the mean heart rate (HR) at 0-min, and the HR recovery (HRR) at min-1 and min-2, at three timelines i.e. at baseline, month-3 and month-6. These tables give an overall picture of the data collected.
Effectiveness of intervention after three months
There was overall within-group improvement of PFS in both groups. The control has slightly better results and more significant changes. However, when compared between-groups, the mean difference of PFS was not statistically significant: (鈭0.15, 95%CI 鈭0.75, 0.45, p鈥=鈥0.83).
In boys neither within- nor between-group showed any significant improvement of PFS in both groups. Whereas, the girls showed significant within-group improvement in the intervention and control. Nevertheless, when compared between-groups, the girls did not yield a significant difference (鈭0.27, 95%CI 鈭1.27, 0.73, p鈥=鈥0.81).
In the weight categories, only obese schoolchildren from the control group showed within-group significant improvement (1.80, 95%CI 0.43, 3.17). Nevertheless, the effect was diluted when compared between-groups (鈭0.05, 95%CI 鈭1.03, 0.92), p鈥=鈥0.93). There was no significant improvement observed for other weight categories.
Location-wise, there were mixed results. The urban schoolchildren in the control group showed significant within-group changes of PFS (1.40, 95%CI 0.17, 2.64). In contrast, the rural schoolchildren in the intervention group showed within-group improvement (1.68, 95%CI 0.21, 3.14). However, the urban and rural locations did not show significant between-group differences (Table 5).
Effectiveness of intervention after six months
In overall, there was significant within-group improvement for both intervention and control (Table 6). In the intervention group, the MD of PFS was found to be slightly higher (2.71, 95%CI 1.65, 3.77) than the control (2.10, 95%CI 1.10, 3.11). However, when comparing between-groups, the effect was too small and not statistically significant (0.05, 95%CI 鈭0.98, 1.07, p鈥=鈥0.69).
In boys, there was a significant improvement of PFS in the intervention group (1.84, 95%CI 0.51, 3.16), but not in the control (1.39, 95%CI 鈭0.02, 2.80). Whereas in girls, both intervention and control showed significant within-group improvement of PFS (3.71intervention, 95%CI, 2.29, 5.14); 3.01control, 95%CI 1.68, 4.34) respectively. Nevertheless, we did find any significant improvement of PFS for both boys and girls when compared between intervention and control groups.
For the weight categories, within-group improvements of PFS were observed in all categories for both intervention and control. However, these effects did not remain significant when comparing between intervention and control groups.
For school location, the urban schoolchildren in both intervention and control groups showed significant within-group improvement (2.49intervention, 95%CI 1.07, 3.91 vs. 2.08control, 95%CI 0.87, 3.30), respectively. However, these effects were diluted when comparing between groups. Similar patterns were observed among rural schoolchildren. We found a significant within-group improvement of PFS in intervention and control (2.92intervention, 95%CI 1.29, 4.54 and 2.14control, 95%CI 0.61, 3.68). Comparing intervention and control, the mean difference was small and remained not significant (鈭0.69, 95%CI 鈭2.52, 1.14, p鈥=鈥0.17).
Discussion
This study found that the program did not result in significant cardiorespiratory fitness, but projected a positive pattern for the intervention group after six months. In the first three months, there was significant improvement in cardiovascular physical fitness within the group in almost all parameters for both the intervention and control groups. Namely, there were significant within-group improvements in overall, gender and weight categories. By six months, the within group changes maintain almost the same pattern, but the mean differences favor the intervention. Nevertheless, as per month-3, these mean differences remained not significant. Hence, both MyBFF@school and the control groups showed significant within group improvement in cardiorespiratory physical fitness over three and six months. We did not record the activities in Physical Education classes in control schools that could have explained the similar improvement seen in the control group. In addition, the after school physical activities were not recorded which could also contribute to the improvement in both groups. We did not measure the actual load of SSG and the standard physical education. It is possible that the children did not reach moderate-to-vigorous intensity during SSG. The actual measurement on volume by accelerometer and intensity by heart rate measurement could have explained whether the SSG and the standard Physical Education had reached the desired volume and intensity [46, 47]. This could also explain the compliance. We were limited by resources, namely financial and manpower, to do this. The load was also confounded by the fact that the permitted time for SSG and control were just 60 min per week. Having said this, the pattern of changes indicates that long term intervention i.e. six months or more of MyBFF@school has the potential to yield better results in cardiorespiratory physical fitness score compared to the standard program. This would help in increasing physical activity in tandem with WHO guidelines on physical activity and sedentary behavior (2020) [48]. A recent study showed that moderate or vigorous intensity of physical activity is positively correlated with cardiorespiratory fitness in children aged 7 to 12 year old. The authors suggested this was mediated by reducing adiposity [49]. Poitras et al. (2016) did a systematic review on the relationship between physical activity and health indicators in school-aged children and youth. They analysed 33 studies (of 162 studies reviewed) and found that all intensity of physical activity was favorably associated with physical fitness particularly cardiorespiratory and muscular fitness in school-aged children and youth with more consistent and robust for higher intensity physical activity [50]. Another study on 753 children aged 10鈥14 years found, among others, better cardiorespiratory fitness was associated with higher levels of physical activity [51]. This is beneficial in the long run as higher level of physical fitness in obese children is shown to have healthier cardiovascular profile compared to overweight and normal weight peers with low fitness [52]. Increased aerobic fitness level also may protect against worsening of childhood obesity as it was shown to attenuate metabolic syndrome score and could reduce the risk of obesity-related comorbidities [53]. Furthermore, previous study has shown an inverse association between physical fitness and lower abdominal obesity as measured by waist circumference [54].
One of the reasons for it to be potentially successful is because SSG has been shown to be highly enjoyable [55] and this could be the reason for adherence and high engagement. Furthermore, team sports as promoted in SSG has been shown to increase enjoyment in children aged 8鈥10 years compared with individual sport participation [56]. It dictated the children to move around at high intensity while playing games continuously for 30鈥40 min per session. Fewer players and smaller fields in SSG increased the children鈥檚 participation and enjoyment as more ball possession, kicking or throwing, dribbling and dodging. Furthermore, in this SSG, we added multiple games besides football i.e. handball and fun games which would have contributed to the increase in physical activity and fitness [57]. A previous study revealed that boys who spent many hours per week in multiple sports were significantly fitter than boys who spent a few hours per week in a single sport [58]. One of the findings by The Malaysian National Health and Morbidity Survey (NHMS) 2012 was that, only 8.9% of children aged 10 to 17 years were fully engaged in physical education classes [59]. If the engagement is increased by MyBFF@school program, this would likely to improve the physical activity and, over time, the cardiorespiratory fitness.
The mean differences between intervention and control were not significant for boys and girls in both month-three and -six. It is possible that puberty could have influenced the outcome of this study. Puberty in boys affects aerobic fitness positively. This is contributed by alteration in body composition during puberty and improvement in maximal tissue oxygen consumption kg/min or better known as VO2max. The body composition in pubertal boys presents a significant rise in growth of bone, stature and muscle mass and at the same time loss of fat in limbs under the influence of testosterone. The VO2max improves due to increase in maximal stroke volume, increase in lung size, skeletal muscle mass, and muscle capillarization [60]. Nevertheless, we do not want to be over-speculative on puberty influence in boys in our study as we did not control puberty in the analysis.
In girls, puberty, which dictates sexual maturation, tends to affect differently. A study on 3201 boys and girls, aged 8鈥14 years, found that early sexual maturation was positively associated with overweight and obesity in girls but was reversed in boys [61]. A more recent study found that pubertal changes in obese girls may occur earlier than normal weight girls [62]. On top of that, biological maturation was found to moderate the relationship between cardiorespiratory fitness in boys but not girls. Pre-puberty cardiorespiratory fitness presents no gender difference, but the impact of puberty on physical fitness among girls is lower than in boys [63]. Girls tend to increase in percentage body fat during puberty [64], hence limiting the gains in cardiorespiratory fitness. In this study, we found that the cardiovascular fitness in girls improved in both groups significantly. The improvement was against the hypothesis that the cardiovascular fitness gain in girls would not be as much as the boys during and in early puberty. This finding is encouraging and supports both programs (MyBFF@school and standard school). At the same time, our findings agree with previous meta-analysis that concluded physical activity interventions in girls aged 5鈥11 years resulted in small positive albeit significant effects [65]. Nevertheless, we could not show the advantage of MyBFF@school over the standard program for girls.
We compared the changes of cardiovascular physical fitness between MyBFF@school urban schoolchildren and the control; and similarly on the rural schoolchildren. We did not find any significant differences although there was a slight favorable mean difference to the intervention group at month-3 and month-6 in urban schoolchildren. This could be potentially beneficial as Malaysian NHMS 2019 has shown that urban children have a higher prevalence of overweight and obesity [6]. A Malaysian local study via a self-reported questionnaire on 3,798 schoolchildren aged 12 years, found several socioeconomic factors to be predictors of obesity in the urban schoolchildren, for example, family size and household income [66]. Meanwhile, in the rural schoolchildren of our study, both groups showed within-group improvement although the mean differences were slightly favorable to the control. There is insufficient information to explain the reason for this especially since it is related to the local setting. A local cross-sectional study found that 33.4% of the variation in BMI of schoolchildren (n鈥=鈥400 schoolchildren aged 9 to 11 years) was explained by certain factors including, among others, health professional involvement, simple exercise before class, availability of policy on physical activity and training teacher as a role model [67]. Another local study in Terengganu, a state in Malaysia, highlighted that rural school scored better in terms of physical environment to support physical activity e.g. in health, nutrition and physical activity programs and school facilities [68]. Unfortunately, our study did not collect information on all these factors to discuss in detail the different outcomes seen based on school locations.
Detraining effects may occur due to prolonged cessation of exercises e.g. school holidays. The six months intervention in this study included school holidays i.e. a total of three weeks within the period of study. The holidays were mid-term break in March (March 12th until March 20th ) for one week; and mid-term break at the end of May and early June for two weeks (May 28th, until June 13th, 2016). In our study, the potential effect of detraining may be diluted as the school breaks were relatively short. In a systematic review on the effect of detraining of obese children (n鈥=鈥330, age 6鈥12 years old) who underwent between 12 and 48 weeks of physical exercise programs followed by between 12 and 48 weeks of detraining, concluded that detraining did not lead to significant loss of the gains in the lipid profile particularly high density lipoprotein (HDL). The authors concluded that the period of training of 36 to 48 weeks were required for a protection against detraining and highlighted the heterogeneity of the detraining period which would require a consensus [69]. Another study looked at detraining effects on adolescent boys (age 13鈥壜扁1.04 years). The study found no loss on the aerobic fitness gain (measured by VO2max) for the eight weeks exercising groups (either resistance only or combined resistance and endurance) against the control (no exercise program) who underwent detraining of 12 weeks [70]. In one review article, the training-induced gains may occur after two to four weeks detraining in concurrent resistant and aerobic training among young adults aged between 18 and 35 years [71]. Research of detraining effects especially related to cardiorespiratory fitness in children is lacking and we could not derive any conclusion for this population. In our study, the potential effect of detraining may possibly confound the outcome of the intervention although the extent is not clear as the school breaks were relatively short.
Limitations
The period of intervention may be relatively short to show more positive results. Several intervention studies need at least one year since a shorter period of intervention may not have significant effects on overweight and obese children [72]. Even in normal children and adolescents, school-based physical activity intervention takes a long time to yield a positive outcome [73]. It could be the same or worse for overweight and obese children. A meta-analysis assessing effectiveness of interventions in aerobic fitness adjusted for weight in obese children found programs based on aerobic exercise had a moderate positive effect on physical fitness and lasting more than 12 weeks (3000 min per session) in three sessions per week (more than 60 min per session) obtained better result [74]. Another meta-analysis that analyzed the duration of implementation and found that intervention that applied more than 1鈥2 years or longer than two years yielded better than programs less than six months [75]. In tandem, weight loss in obesity intervention programs requires a long duration as highlighted by a Cochrane review that revealed low quality evidence of small and short term reduction for children aged 6 to 11 years [76]. This is further supported by current guidelines of obesity intervention emphasising longer intervention yielded better results [77].
In addition, the time allocated by the schools for the SSG was relatively short: only twice a week and for 30 min per session. This was required to conform to the school curriculum, but may have affected the benefit of physical activity in SSG. Indeed, this falls short of the guideline for physical activity in children recommended by the American College of Sports Medicine, which suggests that students should engage in 60 min of moderate to vigorous activity per day [78]. Unfortunately, other forms of physical activity done by the schoolchildren out of their intervention or standard program for example after school activities were not accounted for. Furthermore, the intervention program could be better if attention was given to progression of intensity as highlighted in a systematic review article [79]. We did not increase the intensity as it required more monitoring for example by heart rate measurement of the sessions and adjustment by increasing the tempo of the gameplay, or increasing the duration and frequency of the SSG. Future studies should include the after-school activity record, and consider intensity monitoring and progression as these could contribute to the outcome of the study.
We did not capture family support in this study. Some studies have advocated that a multi-disciplinary approach including family participation is crucial for the effectiveness of an obesity intervention program. Parents are imperative in the development of children鈥檚 behavior and could have contributed to better outcomes [80]. Furthermore, engaging support from friends and caring adults were shown to contribute to a desirable result [81]. However, recruiting and engaging parents in such interventions can be a considerable challenge for researchers and practitioners [82]. Future studies should look into this and incorporate family support and friends in the school-based intervention.
Conclusion
MyBFF@school program showed positive trend in cardiorespiratory fitness changes especially after six months. MyBFF@school intervention program has the potential to combat obesity in primary schoolchildren and should be at least six months.
Data availability
All relevant data are within the paper.
Abbreviations
- ANCOVA:
-
Analysis of covariance
- ANOVA:
-
Analysis of variance
- BMI:
-
Body mass index
- CI:
-
Confidence interval
- ICC:
-
Intracluster correlation coefficient
- MD:
-
Mean difference
- NHMS:
-
National Health and Morbidity Survey
- PFS:
-
Physical fitness score
- SD:
-
Standard deviation
- SSG:
-
Small-sided games
- WHO:
-
World Health Organization
References
World Health Organization. Obesity. 2020. . Accessed June 20, 2020.
GBD 2015 Obesity Collaborators, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, Marczak L, Mokdad AH, Moradi-Lakeh M, Naghavi M, Salama JS, Vos T, Abate KH, Abbafati C, Ahmed MB, Al-Aly Z, Alkerwi A, Al-Raddadi R, Amare AT, Amberbir A, Amegah AK, Amini E, Amrock SM, Anjana RM, 脛rnl枚v J, Asayesh H, Banerjee A, Barac A, Baye E, Bennett DA, et al. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377(1):13鈥27.
World Health Organization. BMI-for-age (5鈥19 years). . Accessed June 20, 2020.
Institute for Public Health (IPH). National Health and Morbidity Survey 2011 (NHMS 2011), vol. II: non-communicable diseases. Ministry of Health Malaysia. 2011 . Accessed June 20, 2020.
Institute for Public Health. National Health and Morbidity Survey. 2015 (NHMS 2015), vol. II: non-communicable diseases, risk factors & other health problems. Ministry of Health Malaysia, 2015. . Accessed June 20, 2020.
Institute for Public Health. National Health and Morbidity Survey 2019 (NHMS 2019), vol. I: non-communicable diseases, risk factors & other health problems. Ministry of Health Malaysia. 2019. . Accessed June 20, 2020.
Mahmood S, Perveen T, Dino A, Ibrahim F, Mehraj J. Effectiveness of school-based intervention programs in reducing prevalence of overweight. Indian Assoc Prev Soc Med. 2014;39:87鈥93.
Feng L, Wei DM, Lin ST, Maddison R, Ni Mhurchu C, Jiang Y, Gao Y, Wang HJ. Systematic review and meta-analysis of school-based obesity interventions in mainland China. PLoS ONE. 2017;12(9):e0184704.
Reinehr T. Lifestyle intervention in childhood obesity: changes and challenges. Nat Rev Endocrinol. 2013;9:607鈥14.
Hong I, Coker-Bolt P, Anderson KR, Lee D, Velozo CA. Relationship between physical activity and overweight and obesity in children: findings from the 2012 National Health and Nutrition Examination Survey National Youth Fitness Survey. Am J Occup Ther. 2016;70:p70051800601鈥8.
Metcalf B, Henley W, Wilkin T. Republished research: effectiveness of intervention on physical activity of children: systematic review and meta-analysis of controlled trials with objectively measured outcomes (EarlyBird 54). Br J Sports Med. 2013;47:226.
Baranowski T. Increasing physical activity among children and adolescents: innovative ideas needed. J Sport Health Sci. 2019;8:1鈥5.
Mokhtar AH, Wan Mohd Zin RM, Yahya A, Md. Zain F, Selamat R, Ishak Z, Jalaludin MY. (In press). Rationale, design and methodology of my body is Fit and Fabulous at school (MyBFF@school) study: a multi-pronged intervention program to combat obesity among Malaysian schoolchildren. 成人头条.
Farpour-Lambert NJ, Aggoun Y, Marchand LM, Martin XE, Herrmann FR, Beghetti M. Physical activity reduces systemic blood pressure and improves early markers of atherosclerosis in pre-pubertal obese children. J Am Coll Cardiol. 2009;54:2396鈥23406.
Shang X, Liu A, Li Y, Hu X, Du L, Ma J, Xu G, Li Y, Guo H, Ma G. The association of weight status with physical fitness among Chinese children. Int J Pediatr. 2010;2010:515414.
Casonatto J, Fernandes RA, Batista MB, Cyrino ES, Coelho-E-Silva MJ, de Arruda M, Vaz Ronque ER. Association between health-related physical fitness and body mass index status in children. J Child Health Care. 2016;20(3):294鈥303.
Aires L, Silva P, Silva G, Santos MP, Ribeiro JC, Mota J. Intensity of physical activity, cardiorespiratory fitness, and body mass index in youth. J Phys Act Health. 2010;7:54鈥9.
Nikola茂dis PT. Physical fitness is inversely related with body mass index and body fat percentage in soccer players aged 16鈥18 years. Med Pregl. 2012;65:470鈥5.
He QQ, Wong TW, Du L, Jiang ZQ, Yu TS, Qiu H, Gao Y, Liu WJ, Wu JG. Physical activity, cardiorespiratory fitness, and obesity among Chinese children. Prev Med. 2011;52(2):109鈥13.
Caspersen CJ, Powell KE, Christenson GM. Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research. Public Health Rep. 1985;100:126鈥31.
Ministry of Education Malaysia (MOE), Kokurikulum. 2019. . Accessed May 30, 2021.
Krustrup P, Dvorak J, Junge A, Bangsbo J. Executive summary: the health and fitness benefits of regular participation in small-sided football games. Scand J Med Sci Sports. 2010;20(Suppl 1):132鈥5.
Che Man O, Ariffin A, Idrus A. Pendidikan Jasmani dan Pendidikan Kesihatan Tahun 3 Sekolah Kebangsaan. 2018th edition. Dewan Bahasa dan Pustaka. Kuala Lumpur.
Idrus A, Nadarajah M. G. Pendidikan Jasmani dan Pendidikan Kesihatan Tahun 4 Sekolah Kebangsaan. 2019th edition. Dewan Bahasa dan Pustaka. Kuala Lumpur.
World Health Organization. Training Course on Child Growth Assessment. . Accessed October 15, 2020.
Poh BK, Jannah AN, Chong LK, Ruzita AT, Ismail MN, McCarthy D. Waist circumference percentile curves for Malaysian children and adolescents aged 6.0-16.9 years. Int J Pediatr Obes. 2011;6:229鈥35.
World Health Organization. Physical activity. 2020. . Accessed June 20, 2020.
Strath SJ, Kaminsky LA, Ainsworth BE, Ekelund U, Freedson PS, Gary RA, Richardson CR, Smith DT, Swartz AM, American Heart Association Physical Activity Committee of the Council on. Lifestyle and Cardiometabolic Health and Cardiovascular, Exercise, Cardiac Rehabilitation and Prevention Committee of the Council on Clinical Cardiology, and Council. Guide to the assessment of physical activity: clinical and research applications: a scientific statement from the American Heart Association. Circulation. 2013;128(20):2259鈥79.
Hoeger WWK, Hoeger SA, Hoeger CI, Fawson AL. Lifetime Physical Fitness and Wellness. 15th edition. Cengage Learning. 2018; 21鈥27.
Raghuveer G, Hartz J, Lubans DR, Takken T, Wiltz JL, Mietus-Snyder M, Perak AM, Baker-Smith C, Pietris N, Edwards NM. American Heart Association Young Hearts Athero, hypertension and obesity in the Young Committee of the Council on Lifelong Congenital Heart Disease and Heart Health in the Young. Cardiorespiratory fitness in youth: an important marker of health: a scientific statement from the American Heart Association. Circulation. 2020;142(7):e101鈥18.
Brouha L. The step test: a simple method of measuring physical fitness for muscular work in young men. Res Q Am Assoc Health Phys Educ Recreat. 1943;14:31鈥7.
Sloan EN, Keen AW. The Harvard step test of physical fitness. South Afr J Sci. 1959;55:113鈥6.
Trevi帽o RP, Fogt DL, Wyatt TJ, Leal-Vasquez L, Sosa E, Woods C. Diabetes risk, low fitness, and energy insufficiency levels among children from poor families. J Am Diet Assoc. 2008;108(11):1846鈥53.
Kopeikina E, Drogomeretskiy V, Kondakov V, Kovaleva MV, Lermakov S. Modification of Harvard step-test for assessment of students鈥 with health problems functional potentials. Phys Educ Stud. 2016;20:44鈥50.
Burnstein BD, Steele RJ, Shrier I. Reliability of fitness tests using methods and time periods common in sport and occupational management. J Athl Train. 2011;46:505鈥13.
Montoye HJ, Willis PW, Cunningham DA, Keller JB. Heart rate response to a modified Harvard step test: males and females, age 10鈥69. Res Q Am Assoc Health Phys Educ Recreat. 1969;40:153鈥62.
Jankowski M, Niedzielska A, Brzezinski M, Drabik J. Cardiorespiratory fitness in children: a simple screening test for population studies. Pediatr Cardiol. 2015;36:27鈥32.
Bruggeman BS, Vincent HK, Chi X, Filipp SL, Mercado R, Modave F, Guo Y, Gurka MJ, Bernier A. Simple tests of cardiorespiratory fitness in a pediatric population. PLoS ONE. 2020;15(9):e0238863.
Jacks DE, Topp R, Moore JB. Prediction of VO2 peak using a sub-maximal bench step test in children (revised). Clin Kinesiol J Am Kinesiotherapy Assoc. 2012;66:74鈥82.
Hayes RM, Maldonado D, Gossett T, Shepherd T, Mehta SP, Flesher SL. Developing and validating a step test of aerobic fitness among elementary school children. Physiother Can. 2019;71:187鈥94.
Sai-chuen Hui S, Pui-yee Cheung P. Comparison of the effects of three stepping cadences on the criterion-related validity of a step test in Chinese children. Meas Phys Educ Exerc Sci. 2004;8:167鈥79.
Kementerian Pendidikan Malaysia. Panduan Standard Kecergasan Fizikal Kebangsaan Untuk Murid Sekolah Malaysia (SEGAK). Perpustakaan Negara Malaysia; 2016.
Abu Hanifah R, Mohamed MN, Jaafar Z, Mohsein NA, Jalaludin MY, Majid HA, Murray L, Cantwell M, Su TT. The correlates of body composition with heart rate recovery after step test: an exploratory study of Malaysian adolescents. PLoS ONE. 2013;8(12):e82893.
Hanifah RA, Majid HA, Jalaludin MY, Al-Sadat N, Murray LJ, Cantwell M, Su TT, Nahar AM. Fitness level and body composition indices: cross-sectional study among Malaysian adolescent. 成人头条. 2014;14(Suppl 3):S5.
Trevi帽o RP, Marshall RM, Hale DE, Rodriguez R, Baker G, Gomez J. Diabetes risk factors in low-income Mexican-American children. Diabetes Care. 1999;22:202鈥7.
Kohl HW, Fulton JE, Caspersen CJ. Assessment of physical activity among children and adolescents: a review and synthesis. Prev Med. 2000;31:S54鈥76.
Sylvia LG, Bernstein EE, Hubbard JL, Keating L, Anderson EJ. Practical guide to measuring physical activity. J Acad Nutr Diet. 2014;114(2):199鈥208.
World Health Organization. WHO guidelines on physical activity and sedentary behaviour. 2020. . Accessed on June 20, 2020.
Lai L, Cai L, Tan W, Zeng X, Sun F, Huang WY, Wong SHS, Chen Y. Adiposity mediates the association of objectively measured physical activity with cardiorespiratory fitness in children. Child Obes. 2020;16(8):554鈥63.
Poitras VJ, Gray CE, Borghese MM, Carson V, Chaput JP, Janssen I, Katzmarzyk PT, Pate RR, Connor Gorber S, Kho ME, Sampson M, Tremblay MS. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016;41(6 Suppl 3):S197鈥239.
Pojskic H, Eslami B. Relationship between obesity, physical activity, and cardiorespiratory fitness levels in children and adolescents in Bosnia and Herzegovina: an analysis of gender differences. Front Physiol. 2018;9:1734.
Ortega FB, Ruiz JR, Castillo MJ. Physical activity, physical fitness, and overweight in children and adolescents: evidence from epidemiologic studies. Endocrinol Nutr Engl Ed. 2013;60:458鈥69.
DuBose KD, Eisenmann JC, Donnelly JE. Aerobic fitness attenuates the metabolic syndrome score in normal-weight, at-risk-for-overweight, and overweight children. Pediatrics. 2007;120:1262鈥8.
Ortega FB, Tresaco B, Ruiz JR, Moreno LA, Martin-Matillas M, Mesa JL, Warnberg J, Bueno M, Tercedor P, Guti茅rrez 脕, Castillo MJ. Cardiorespiratory fitness and sedentary activities are associated with adiposity in adolescents. Obesity. 2007;15:1589鈥99.
Selmi O, Ouergui I, Levitt DE, Nikolaidis PT, Knechtle B, Bouassida A. Small-sided games are more enjoyable than high-intensity interval training of similar exercise intensity in soccer. Open Access J Sports Med. 2020;11:77鈥84.
Elbe A-M, Wikman JM, Zheng M, Larsen MN, Nielsen G, Krustrup P. The importance of cohesion and enjoyment for the fitness improvement of 8-10-year-old children participating in a team and individual sport school-based physical activity intervention. Eur J Sport Sci. 2017;17:343鈥50.
Filanowski PM, Iannotti RJ, Crouter SE, Vermeulen A, Schmidt EM, Hoffman JA, Castaneda-Sceppa C, Milliken LA. The effects of varying structured physical activity duration on young children鈥檚 and parents鈥 activity levels. Res Q Exerc Sport. 2019;90(4):578鈥88.
Fransen J, Pion J, Vandendriessche J, Vandorpe B, Vaeyens R, Lenoir M, Philippaerts RM. Differences in physical fitness and gross motor coordination in boys aged 6鈥12 years specializing in one versus sampling more than one sport. J Sports Sci. 2012;30(4):379鈥86.
Institute for Public Health (IPH). National Health and Morbidity Survey 2012 (NHMS 2012), Malaysia Global School-Based Student Health Survey 2012. Ministry of Health Malaysia. 2012. . Accessed June 20, 2020.
Bandyopadhyay A, Goswami B, Singha Roy A, Dalui R. Impact of Pubertal Growth on Physical Fitness. Am J Sports Sci Med. 2014;2:34鈥9.
Wang Y. Is obesity associated with early sexual maturation? A comparison of the association in American boys versus girls. Pediatrics. 2002;110:903鈥10.
Chung S. Growth and puberty in obese children and implications of body composition. J Obes Metab Syndr. 2017;26:243鈥50.
Werneck AO, Silva DR, Agostinete RR, Fernandes RA, Valente-Dos-Santos J, Coelho-E-Silva MJ, Ronque ERV. Tracking of cardiorespiratory fitness from childhood to early adolescence: moderation effect of somatic maturation. Rev Paul Pediatr. 2019;9(3):338鈥44.
Ogden CL, Li Y, Freedman DS, Borrud LG, Flegal KM. Smoothed percentage body fat percentiles for U.S. children and adolescents, 1999鈥2004. Centers for Disease Control and Prevention National Center for Health Statistics, 2011. . Accessed on November 26, 2020.
Biddle SJH, Braithwaite R, Pearson N. The effectiveness of interventions to increase physical activity among young girls: a meta-analysis. Prev Med. 2014;62:119鈥31.
Ahmad A, Zulaily N, Shahril MR, Abdullah EFHS, Ahmed A. Association between socioeconomic status and obesity among 12-year-old Malaysian adolescents. PLoS ONE. 2018;13:e0200577.
Wafa SW, Ghazalli R. Association between the school environment and children鈥檚 body mass index in Terengganu: a cross sectional study. PLoS ONE. 2020;15(4):e0232000.
Rasyidah G, Wafa SW. A quantitative assessment of school environment as viewed by teachers. Heliyon. 2020;6:e04059.
Garc铆a-Hermoso A, Carmona-L贸pez MI, Saavedra JM, Escalante Y. Physical exercise, detraining and lipid profile in obese children: a systematic review. Arch Argent Pediatr. 2014;112:519鈥25.
Santos AP, Marinho DA, Costa AM, Izquierdo M, Marques MC. The effects of concurrent resistance and endurance training follow a detraining period in elementary school students. J Strength Cond Res. 2012;26:1708鈥16.
Sousa AC, Neiva HP, Izquierdo M, Cadore EL, Alves AR, Marinho DA. Concurrent training and detraining: brief review on the effect of exercise intensities. Int J Sports Med. 2019;40:747鈥55.
Lee YH, Song YW, Kim HS, Lee SY, Jeong HS, Suh SH, Park JK, Jung JW, Kim NS, Noh CI, Hong YM. The effects of an exercise program on anthropometric, metabolic, and cardiovascular parameters in obese children. Korean Circ J. 2010;40(4):179鈥84.
Lai SK, Costigan SA, Morgan PJ, Lubans DR, Stodden DF, Salmon J, Barnett LM. Do school-based interventions focusing on physical activity, fitness, or fundamental movement skill competency produce a sustained impact in these outcomes in children and adolescents? A systematic review of follow-up studies. Sports Med. 2014;44(1):67鈥79.
Saavedra JM, Escalante Y, Garcia-Hermoso A. Improvement of aerobic fitness in obese children: a meta-analysis. Int J Pediatr Obes. 2011;6:169鈥77.
Gonzalez-Suarez C, Worley A, Grimmer-Somers K, Dones V. School-based interventions on childhood obesity: a meta-analysis. Am J Prev Med. 2009;37:418鈥27.
Mead E, Brown T, Rees K, Azevedo LB, Whittaker V, Jones D, Olajide J, Mainardi GM, Corpeleijn E, O鈥橫alley C, Beardsmore E, Al-Khudairy L, Baur L, Metzendorf MI, Demaio A, Ells LJ. Diet, physical activity and behavioural interventions for the treatment of overweight or obese children from the age of 6 to 11 years. Cochrane Database Syst Rev. 2017;6(6):CD012651.
Weihrauch-Bl眉her S, Kromeyer-Hauschild K, Graf C, Widhalm K, Korsten-Reck U, J枚dicke B, Markert J, M眉ller MJ, Moss A, Wabitsch M, Wiegand S. Current guidelines for obesity prevention in childhood and adolescence. Obes Facts. 2018;11:263鈥76.
Faigenbaum A. Physical activity in children and adolescents. American College of Sports Medicine. 2015. . Accessed 15 Feb 2021.
Braaksma P, Stuive I, Garst RME, Wesselink CF, van der Sluis CK, Dekker R, Schoemaker MM. Characteristics of physical activity interventions and effects on cardiorespiratory fitness in children aged 6鈥12 years-a systematic review. J Sci Med Sport. 2018;21(3):296鈥306.
Kelishadi R, Azizi-Soleiman F. Controlling childhood obesity: a systematic review on strategies and challenges. J Res Med Sci. 2014;19:993鈥1008.
Neumark-Sztainer D, Story M, Hannan PJ, Tharp T, Rex J. Factors associated with changes in physical activity: a cohort study of inactive adolescent girls. Arch Pediatr Adolesc Med. 2003;157:803鈥10.
Morgan PJ, Jones RA, Collins CE, Hesketh KD, Young MD, Burrows TL, Magarey AM, Brown HL, Hinkley T, Perry RA, Brennan L, Spence AC, Campbell KJ. Practicalities and research considerations for conducting childhood obesity prevention interventions with families. Child (Basel). 2016;3(4):24.
Acknowledgements
The authors would like to thank the Director General of Health Malaysia for his permission to publish this article, the Ministry of Education for giving the approval for us to undertake this study, all researchers, staff of the Ministry of Health, participants and teachers for helping in data collection. Special thanks to Dr. Hj. Tahir Bin Aris as the coordinator of MyBFF@school project. The authors would also like to thank Mr. Wan Abdul Hakim Bin Wan Ibrahim for his contribution in writing this article.
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This article has been published as part of 成人头条 Volume 24 Supplement 1, 2024: Effectiveness of Obesity Intervention Program MyBFF@school Among Overweight and Obese Children and Adolescents. The full contents of the supplement are available online at /articles/supplements/volume-24-supplement-1.
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Publication costs are funded by the Ministry of Health, Malaysia (NMRR-13-439-16563). The Ministry of Health Malaysia provides funding and networking to facilitate the process of data collection of the study as well as to train the facilitators and conduct the program.
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AHM contributed to concept and design, data analysis, interpretation, preparation of draft manuscript and providing critique. MAK, AC, LS, and VG contributed to the interpretation, preparation of draft manuscript and providing critique. AY and RMWMZ contributed to the conception and design, data analysis, interpretation, preparation of draft manuscript and providing critique. FMZ, RS, ZI, and MYJ contributed to the conception and design, interpretation, preparation of draft manuscript and providing critique. All authors have read and approved the final manuscript.
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This study was approved by the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia (NMRR-13-439-16563). Written informed consent was obtained from parents or guardians, and the assent form was signed by the participating child.
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Mokhtar, A.H., Kamarudin, M.A., Choong, A. et al. The effect of the MyBFF@school program on cardiorespiratory fitness in overweight and obese primary schoolchildren: a cluster randomized controlled trial. 成人头条 24 (Suppl 1), 3623 (2025). https://doi.org/10.1186/s12889-024-20723-2
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DOI: https://doi.org/10.1186/s12889-024-20723-2