Naser Kalantari1, Nastaran Keshavarz Mohammadi2, Shahram Rafieifar3, Hassan Eini-Zinab1, Atefeh Aminifard4, Hanieh Malmir5, Narjes Ashoori1, Sheyda Abdi6, Maryam Gholamalizadeh7, Saeid Doaei8. 1. Department of Community Nutrition, School of Nutrition and Food Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 2. Department of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 3. Department of Health Education and Promotion, Ministry of Health, Tehran, Iran. 4. Department of Food Industry, School of Food Sciences and Industry, Islamic Azad University, Khouzestan, Iran. 5. Department of Community Nutrition, School of Nutrition and Biochemistry, Tehran University of Medical Sciences, Tehran, Iran. 6. Department of Nutrition, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran. 7. Student Research Committee, Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 8. Student Research Committee, Department of community nutrition, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract
BACKGROUND: Obesity in adolescence is the strongest risk factor for obesity in adulthood. This study aimed to evaluate the effects of a comprehensive lifestyle intervention on different anthropometric indices in 12-16-year-old boy adolescents after 12 Weeks of Intervention. METHODS: A total of 96 male adolescents from two schools participated in this study. The schools were randomly assigned to intervention (53 students) and control school (43 students). Height and weight of students were measured and their body mass index (BMI) was calculated. Body fat percent (BF) and body muscle percent (BM) was assessed using a bioimpedance analyzer considering the age, gender, and height of students at baseline and after intervention. The obesity reduction intervention was implemented in the intervention school based on the Ottawa charter for health promotion. RESULTS: Twelve weeks of intervention decreased BF percent in the intervention group in comparison with the control group (decreased by 1.81% in the intervention group and increased by 0.39% in the control group, P < 0.01). However, weight, BMI, and BM did not change significantly. CONCLUSIONS: The result of this study showed that a comprehensive lifestyle intervention decreased the body fat percent in obese adolescents, although these changes was not reflected in the BMI. It is possible that BMI is not a good indicator in assessment of the success of obesity management intervention.
RCT Entities:
BACKGROUND:Obesity in adolescence is the strongest risk factor for obesity in adulthood. This study aimed to evaluate the effects of a comprehensive lifestyle intervention on different anthropometric indices in 12-16-year-old boy adolescents after 12 Weeks of Intervention. METHODS: A total of 96 male adolescents from two schools participated in this study. The schools were randomly assigned to intervention (53 students) and control school (43 students). Height and weight of students were measured and their body mass index (BMI) was calculated. Body fat percent (BF) and body muscle percent (BM) was assessed using a bioimpedance analyzer considering the age, gender, and height of students at baseline and after intervention. The obesity reduction intervention was implemented in the intervention school based on the Ottawa charter for health promotion. RESULTS: Twelve weeks of intervention decreased BF percent in the intervention group in comparison with the control group (decreased by 1.81% in the intervention group and increased by 0.39% in the control group, P < 0.01). However, weight, BMI, and BM did not change significantly. CONCLUSIONS: The result of this study showed that a comprehensive lifestyle intervention decreased the body fat percent in obese adolescents, although these changes was not reflected in the BMI. It is possible that BMI is not a good indicator in assessment of the success of obesity management intervention.
Entities:
Keywords:
Adolescence obesity; BMI; body composition; lifestyle intervention
Obesity is an important risk factor for many chronic diseases such as diabetes, cardiovascular diseases, cancer, and osteoarthritis.[123] Adolescence period is considered an important period of physical growth and many biological, behavioral, and environmental factors can influence weight and body composition.[4] The change of body composition itself influences the risk of the other diseases through changing the sensitivity to insulin and the accumulation of adipokines.[5] The percent of obese adolescents (12–19-year-old) from 1980 to 2012 has reached about 21%.[6] Obesity in childhood and adolescence period is the prerequirement for adulthood obesity, type-2 diabetes, cardiovascular diseases, cancer, resistance to insulin, and the increasing of inflammatory cytokines.[78]Available methods for evaluating the obesity in children and adolescents include the measurement of weight, body mass index (BMI), the percent of body fat (BF) and body muscle (BM), skin fold, and some laboratories methods.[9] Dual-energy X-ray absorptiometry (DXA) is the gold standard for determining the body composition.[10] It is a credible and trusted method for evaluating body composition in adults and children. Although DXA is an expensive and immobile method and also causes the exposure of the bones with rays.[111213] In a study aimed to identify a cheaper and simpler method rather than DXA for evaluating BF in obese and overweight adolescent, it was recommended that bioimpedance analyzer compared with DXA could be the simplest and most exact fat tissue state in obese adolescents.[14] On the other hand, BMI is considered as the most popular method for the assessment of weight status. The persons younger than 20 with percentile of 95 and higher in BMI standard curves for this age was considered to be obese.[11] However, the main purpose of weight loss intervention in children and adolescents is decreasing the fat mass (FM) and maintain BM well regardless of its effect on their weight.[15] Hence, the purpose of this study was the implementation of a comprehensive health promotion intervention and the evaluation of its effects on different anthropometric measurements in 12–15-year-old adolescent boys. Furthermore, the focus of this paper is to compare of two assessment methods of physical health and fitness in adolescents: BMI and body composition.
Methods
This study was a randomized, controlled, school-based trial and carried out as a comprehensive health promoting school program involving 96 students in two boys’ high schools (including the grades 7–9) of a randomly chosen district of Tehran city (the district 5). Two schools were randomly allocated as the intervention and control schools.The selection criteria of the schools included enrolled students were 12–15-year-old, they were similar regarding the implementation of health and sanitary programs and far enough physical distance from each other to reduce the possibility of interaction of students of case and control school. Considering that both schools were chosen from the same district, it was expected that the students were similar in terms of socioeconomic class and ecological and social backgrounds.After conducting required coordination with schools, identifying obese and overweight students and obtaining consent forms from students and parents, 96 obese and overweight students (52 students in intervention school and 46 students in control school) participated in this study and all of them completed the study. Inclusion criteria were (i) age = 12–15 years; (ii) BMI ≥2 Z-scores; and (iii) lack of disease affecting weight.
Anthropometric measures
The height of students was measured with a calibrated tapeline fastened to a wall. Omron-BF511 bioimpedance analyzer (this device is a digital, mobile, and nonaggressive device that have eight electrodes that transfers the weak electrical currents [50 kHz and lower than 500 μA] through hands and feet) was utilized to measure weight, BMI, BF, and BM. The validity of this device has been confirmed in previous studies.[16] All measures have been taken between morning and noon at the beginning and after 12 weeks of intervention.
Intervention
The intervention was implemented in school for 12 weeks (from February to May 2016) in two levels: in the first level, the environmental and lifestyle changes were applied to the school level, so all the students in the intervention school were covered. The five dimensions of Ottawa Charter[17] were used for systemic implementation of interventions in school level. Our intervention objects were (1) modify the health policy at the school level to influence weight and BMI, (2) creating supportive environment to weight reduction, (3) strengthen community action to achieve a healthy weight, (4) developing personal skills to adopt a healthy lifestyle, and (5) reorienting health services to prevent and treatment of obesity.[18] We had some strategies for every object and many operational activities for every strategy. The summary of our interventions is outlined in Table 1.[18]
Table 1
Components of the intervention based on Ottawa charter dimensions
Components of the intervention based on Ottawa charter dimensionsIn the second level, the lifestyle interventions specifically covered obese students. At this level, the personalized diet and physical activity intervention were implemented for each participant. In addition, parents were provided an educational session regarding healthy meals and creating a supportive environment at home for healthy diet and physical activity. The method of appropriate implementation of diet has been instructed to parents and students through a face-to-face training, followed by booklets and phone calls. The personalized diet was adopted with free snacks offered in school days by researchers.Furthermore, a high-intensity interval training[19] was carried out for improving the physical activity at the schools. In this method, students warmed up for 10 min under supervision of an exercise physiologist and they were involved in high-intensity exercise for a minimum of 30 min. At the end, they were given time to cool down their bodies. The details of exercise program have been explained elsewhere.[18] This study was approved by the Ethics Committee of Shahid Beheshti University of Medical Sciences (Reference Number: Ir.sbmu.nnftri.rec. 1394.22), Tehran, Iran.
Statistical analysis
Independent t-test was used to compare intervention and control groups at baseline. Furthermore, general linear model repeated measures was used to compare weight, height, BMI, and body composition changes of students in the intervention school with the control school's students considering both between groups and within (before and after in each group) groups differences together. Data were analyzed with SPSS for Windows version 7.0 (SPSS Inc., Chicago, IL, USA).
Results
The study group included 96 adolescent boys with BMI ≥2 Z-scores for age and sex. The characteristics of the subjects are summarized in Table 2. There were no significant differences between groups in age, height, weight, BMI, or BF before the intervention.
Table 2
Comparison between characteristics of the subjects at baseline using independent t-test
Comparison between characteristics of the subjects at baseline using independent t-testAfter 12 weeks of intervention, BF decreased significantly in intervention group's students in comparison with control group's students (decreased by 1.81% in intervention group and increased by 0.39% in control group, F = 4.3, P < 0.01). However, weight, BMI, and BM did not change significantly [Table 3].
Table 3
Differences between anthropometric measurements of students using GLM repeated measures (df=1)
Differences between anthropometric measurements of students using GLM repeated measures (df=1)
Discussion
This paper reports partly on effect of a comprehensive health promoting school program on different anthropometric measurements of 12–16-year-old boys. After 12 weeks of comprehensive intervention, a significant loss of FM has been observed, but there was no significant change in BMI level.Regarding to the effects of lifestyle interventions on youth's body composition, the result of this study was compatible with some previous studies’ results.[42021] In a study with 12-month intervention, lifestyle change and the use of Sibutramine in obese adolescents resulted in the increase of lean mass and decrease of FM.[20] In two other studies, the dietary-behavioral activity in 9-month[4] and 3-month[21] period in adolescents resulted in the reduction of fat tissue percent and maintain muscle mass. Furthermore, in the study of hospitalized obesechildren and adolescents, the significant reduction in BF tissue percent was observed through the implementation of similar intervention.[22] In another study, one-dimensional and traditional intervention was considered unsuccessful in fat tissue loss and the multidimensional intervention was considered effective for useful changes of body tissue compositions.[202324]The traditional obesity interventions have been focused on weight loss and its related indicators such as BMI to evaluate the success of the intervention. However, according to these criteria, many interventions reported limited successes in obesity management. In two intervention studies on weight loss, aligned with the present study results, the physical activity (along with calorie intake limitation or without it) resulted in fat-free mass gain and fat tissue loss, while BMI did not show the significant changes.[2526] Moreover, Evans et al. reported that small changes in BF percent may not be accurately reflected in BMI.[27]In a longitudinal study of white children, there was a direct relationship between total BF-free mass index and BMI percentile, whereas FM index and BF percent had more complicated relationships with BMI percentile depending on gender and age and whether BMI percentile was high or low. The results also suggest that BMI percentile changes may not accurately reflect changes in and BF percent in children over time, particularly among male adolescents and children with lower BMI.[10]Chung reported that BMI has limitation in differentiating changes in BF mass and changes in fat-free mass.[9] Among overweight children, higher BMI levels can be a result of higher fat-free mass (not FM). It has been shown that BMI is not an ideal indicator of obesity since it is significantly influenced by the fat-free mass, especially in obese individuals.[28]Generally, there is a doubt in regard to using BMI for evaluation and decision-making in control of the obesity. It is suggested that to achieve the best personalized obesity interventions, BF percent has to be considered.[2930] Previous studies have reported that the precision of BMI as an indicator of fat tissue depends on the severity of obesity.[3132] BMI is related to FM in healthy adults and it can be responsible for 75% of BF changes, but such relation in some of other age groups such as children is weak.[32] Hence, it is recommended to consider other anthropometric measurements (e.g., bioimpedance analyzer) in children.[12]Short-time period of the intervention and the absence of adolescent girls in this study can be considered as limitations. Hence, it is recommended to run the next studies with longer intervention and on both boys and girls to increase generalizability of the data.At the end of this article, it should be noted that this study was the first study in Iran that evaluated the effects of comprehensive health promotion intervention project (based on the Ottawa Charter) on obesity and anthropometric indices.
Conclusions
The results of this study showed that the implementation of a comprehensive intervention for obesity management may result in improvements in the body composition indices although these changes may not be reflected in BMI. It is better to use the more accurate evaluation methods such as Simultaneous use of bioimpedance analysis and BMI. It is possible that BMI is not a good indicator in assessment of the success of obesity management intervention. Future studies in this regard are warranted.
Financial support and sponsorship
This study was supported by Shahid Beheshti University of Medical Sciences and health education and health promotion office of Ministry of Health jointly sponsored the project.
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