Skip to main content

Effects of the application of a prolonged combined intervention on body composition in adolescents with obesity

Abstract

Background

The aim of this study is to describe the effects of a prolonged dietary-behavioral-physical activity intervention (24 months) on body composition in a group of adolescents with obesity.

Methods

Longitudinal study in 196 individuals with obesity (86 boys and 110 girls) aged 10.1–14.9 years that completed a prolonged combined intervention (24 months). Values for weight, height, skinfold thickness, waist circumference, BMI, body fat, fat mass index (FMI) and fat-free mass index (FFMI) were registered or calculated. A good response to treatment was reported when a BMI z-score reduction of greater than or equal to 0.5 units of the initial value occurred after 24 month of follow up.

Results

A good response after 24 months of follow-up reached 58.2% (n = 114). In boys with obesity and BMI status improvement, weight z-score, BMI z-score, body fat, and FMI significantly decreased (p < 0.05). In girls with obesity and BMI status improvement, weight z-score, BMI z-score, waist circumference, waist z-score, body fat and FMI significantly decreased (p < 0.05). In both sexes the height and FFMI increased significantly (p < 0.05). The multiple logistic regression analysis showed that girls and younger age were associated with BMI status improvement; concurrently, the place of residence (urban or rural) and degree of obesity were not associated with BMI status improvement.

Conclusion

The application of long-term combined strategies in the treatment of childhood obesity seems to be effective. As BMI decreases, a reduction in fat mass is also detected, with evident sexual dimorphism, in the absence of changes in fat-free mass and, consequently, in longitudinal growing.

Peer Review reports

Introduction

The prevalence of excess body weight (overweight and obesity) in children has progressively increased in recent decades, reaching 22.5% of the adolescent population in our region (Navarra, Spain) [1]. Its treatment is complex and to date has disappointing results; however, interventions related to child obesity that combine steps on feeding, physical activity, sedentary lifestyle and changes in standards of conduct, as well as an active family implication, are more effective in the reduction of body mass index (BMI) than isolated interventions [2]. On the other hand, even when intensive interventions show better results on a short-term basis, the duration of its positive results is rather limited [3,4,5].

The effectiveness of the interventions on child obesity does not lie in the achievement of a hasty loss weight in the shortest time possible, but rather in the acquisition of healthy habits by the patients and their family environment [6]. Therefore, the long-term combined interventions would turn to be the most adequate in order to consolidate healthy dietary habits and lifestyle, and, consequently, to reduce the excess body fat; however, there are few studies on the effectiveness of long-term interventions in the treatment of child obesity [7, 8].

Even though body mass index is the most frequently used anthropometric measurement in the diagnosis and follow up of child obesity [8,9,10], it provides limited information, since it does not allow the discrimination of changes in the composition of the different body compartments: fat mass and fat-free mass [11]. Since the main objective of the treatment of child obesity consists in the reduction of the percentage of body fat mass, several authors advocate the use of the fat mass index (FMI) due to its higher sensibility to detect changes in body fat [12,13,14]. In other way, waist-height ratio (WtHR) is a marker of visceral fat and its reduction could have some clinical interest since it is a modifiable cardiovascular disease risk factor [15, 16].

Dual-energy X-ray absorptiometry (DEXA) is considered a reference technique for the assessment of body composition; however, the complexity of installation and management and high cost makes it unfeasible for daily clinical practice. On the other hand, the fat mass index calculated using skin fold measurement shows a good correlation with total body fat evaluated by DEXA [14, 17,18,19].

The objective of this study is to describe the changes in several nutritional indices: BMI, WtHR, FMI and fat-free mass index (FFMI) using anthropometric techniques in a group of adolescents with obesity enrolled in an extensive combined intervention (24 months) to reduce excess body fat.

Methods

Participants

This was a longitudinal study (convenience sample) conducted in 196 obese individuals (86 boys and 110 girls) aged 10.1 to 14.9 years that fulfilled a combined dietary-behavioral-physical activity intervention program during a period of 24 months (clinical evaluation was performed every 3 months). All patients involved in the study were Caucasian and showed pubertal changes (Tanner stages: II-V). All the participants and their parents or legal guardians were offered adequate information, fulfilled informed consent, and were subsequently included in the combined intervention program that was carried out from January, 2015 to December, 2018. This study was approved by the Ethics Committee for Human Investigation at our institution (in accordance with the ethical standards described in the 1964 Declaration of Helsinki and later amendments). The exclusion criteria were: obesity secondary to genetic, metabolic or endocrine disease. Residence was categorized as urban or rural (more or less than 10.000 inhabitants, respectively).

Anthropometric measurements

The standardised protocol that was used for the anthropometric measurements has been previously published [6]. The following anthropometric measurements were registered in the first consultation and every 3 months: weight, height, body mass index (BMI), skinfold thickness (biceps, triceps, subscapular and suprailiac) and waist circumference.

Weight and height measurements were taken with participants wearing only undergarments and barefoot. Weight was measured using an Año-Sayol scale (reading interval 0 to 120 kg and a precision of 100 g), and height was measured using a Holtain wall stadiometer (reading interval 60 to 210 cm, precision 0.1 cm). BMI was calculated according to the following formula: weight (kg)/height 2 (m).

Skinfold thickness values were measured with an accuracy of 0.1 mm on the left side of the body with Holtain skinfold calipers (CMS Weighing Equipment, Crymych, United Kingdom). The percentage of total body fat, fat mass (kg) and fat-free mass (kg) was calculated using the equations reported by Slaughter et al., adjusted for sex and age [20]. In the same way, the FMI and the fat free mass index (FFMI) were calculated using the following formulas: fat mass (kg) / height2 (m)., and free fat mass (kg) / height2 (m), respectively.

Waist circumference (WC) was registered using a tape measure placed on a horizontal line equidistant from the last rib and the iliac crest, and the WtHR was calculated according to the formula: waist (m)/ height2 (m). Measurements were performed by the same trained individual.

The z-score values for the weight, height, BMI, skinfold thickness and WC were calculated using the program Aplicación Nutricional, from the Spanish Society of Pediatric Gastroenterology, Hepatology and Nutrition (Sociedad Española de Gastroenterología, Hepatología y Nutrición Pediátrica, available at http://www.gastroinf.es/nutritional/). The graphics from Ferrández et al. (Centro Andrea Prader, Zaragoza 2002) were used as reference charts [21].

The z-score value for BMI allowed establishing the following BMI status:

  • Normal: z-score between − 1.0 (15th percentile) and + 1.0 (85th percentile).

  • Overweight: z-score > 1.0 (85th percentile).

  • Obesity: z-score > 2.0 (97th percentile).

  • Severe obesity: z-score > 3.0 (99th percentile).

Combined dietary-behavioral-physical activity intervention

The combined intervention has been previously explained [6]. The central idea of the program corresponds to the following maxim: “the child becomes skinny keeping a stable weight because he/she is growing” and it includes nutritional education, a nutritional intervention, the promotion of physical activity and healthy lifestyles and self-monitoring of body weight (weekly registration of weight).

The acquisition of basic practical and theoretical skills that enables self-monitoring was mandatory in order to be included in this study. A multidisciplinary team (pediatrician, nurse and dietitian) educated the patients and their families on nutrition, synchronizing the education and the first visit. The contents of these structured sessions (nutritional value of the different food groups, food pyramid, physical activity, etc.) were personalized according to the characteristics of each patient and family and continuous guidance was provided for all of them. The program was developed or extended depending on the needs of the patient in subsequent visits.

The approach to weight maintenance is accomplished by means of a diversified and well balanced diet for the whole family with no strict restrictions or immediate or exaggerated weigh loss. The Mediterranean diet, adapted to family customs or the preferences of the patients, was our dietary model. It was mandatory to ensure five daily meals, with the requirement that meal schedules were respected. The participants were instructed to avoid eating in between meals and to increase the time of intake (eating slowly and adequately chewing the food).

In addition, an individualized scheme to increase physical activity was proposed to every participant and consisted of a daily, regulated (60 min) free-choice activity (swimming, walking, cycling, martial arts, etc.) and an increase in daily activity (such as walking up the stairs rather than using the elevator, walking, helping in house tasks, etc.).

Every family was given a leaflet with general recommendations on usual diet, physical activity (sports and home activity) and a healthy lifestyle.

A good response to treatment (BMI status improvement) was reported when a BMI z-score reduction of greater than or equal to 0.5 units of the initial value occurred after 24 months of follow up; otherwise, it was considered a failure to treatment [7, 22].

Statistical analysis

Results are displayed as percentages (%) and means (M) with corresponding standard deviations (SD). The statistical analysis (descriptive statistics, Student’s t test, analysis of variance, Chi-square test, and multiple logistic regression analysis) was performed using the program Statistical Packages for the Social Sciences version 20.0 (SPSS, Chicago, IL, USA). Statistical significance was assumed when p-value was < 0.05.

Results

Table 1 shows and compares mean values of anthropometric characteristics registered in individuals of both sexes before the combined intervention. Mean values of weight, BMI, BMI z-score, waist, waist z-score, WtHR, triceps z-score and subscapular z-score were significantly higher in boys (p < 0.05). Mean values of suprailiac z-score and body fat were significantly higher in girls (p < 0.05). There were no significant differences in mean values of age, weigh z-score, height z-score, biceps z-score, FMI and FFMI between individuals of both sexes.

Table 1 Anthropometric characteristics before combined intervention in both sexes (M ± SD)

The percentage of participants who showed an improvement in BMI status after 12 months of follow-up was 53.1% (n = 104), and there were statistically significant differences (p < 0.001) between girls (63.6%, n = 70) and boys (39.5%, n = 34). The percentage of participants who improved BMI status after 24 months of follow-up was 58.2% (n = 114), and revealed statistically significant differences (p < 0.019) between girls (n = 72, 65.5%) and boys (n = 42, 48.8%). In contrast, 29.6% (n = 58) of the participants did not improve BMI status after 12 and 24 months. Within the period comprised between 12 and 24 months of follow up, 17.3% (n = 34) of participants improved BMI status, whereas 12.2% (n = 24) showed a deterioration. This means, 70.2% (n = 80) of participants who improved BMI status after 24 months had already showed an improvement after 12 months.

Table 2 shows and compares mean values of anthropometric characteristics registered at the beginning of the study and after 12 and 24 months of follow-up in boys with obesity and BMI status improvement and with no BMI status improvement. In patients with BMI status improvement, mean values of weight z-score, BMI z-score, skinfold thickness, body fat, and FMI significantly decreased (p < 0.05) during the follow-up period. There were no significant differences in mean values of weight, height z-score, BMI, waist, WC z-score and WtHR throughout the combined intervention. In contrast, in patients with no BMI status improvement, mean values of weight, BMI, BMI z-score, waist, waist z-score, body fat, and FMI significantly increased (p < 0.05) during the follow-up period. There were no significant differences in mean values of WtHR and skinfold thickness throughout the combined intervention. The mean values of height and FFMI significantly increased (p < 0.05) whether they had improved their BMI status or not.

Table 2 Anthropometric characteristics throughout combined intervention in boys with obesity (M ± SD)

Table 3 shows and compares mean values of anthropometric characteristics registered at the beginning of the study and after 12 and 24 months of follow-up in girls with obesity and BMI status improvement and with no BMI status improvement. In patients with BMI status improvement, mean values of weight z-score, BMI z-score, waist, waist z-score, WtHR, skinfold thickness, body fat, and FMI significantly decreased (p < 0.05) during the follow-up period. There were no significant differences in mean values of weight, height z-score and BMI throughout the combined intervention. In contrast, in patients with no BMI status improvement, mean values of weight, body fat and FMI significantly increased (p < 0.05) during the follow-up period. There were no significant differences in mean values of weight z-score, height z-score, BMI, BMI z-score, waist, waist z-score, WtHR and skinfold thickness throughout the combined intervention. The mean values of height and FFMI significantly increased (p < 0.05) whether they had improved their BMI status or not.

Table 3 Anthropometric characteristics throughout combined intervention in girls with obesity (M ± SD)

Figure 1 depicts and compares the BMI status (shown as percentage) between the beginning of the study and after 12 and 24 months of follow-up of all participants (boys and girls) in this study with BMI status improvement. Obesity and severe obesity BMI status significantly decreased and overweight BMI status significantly increased (p < 0.001) during the combined intervention. In boys, at the beginning of the study, severe obesity BMI status was 58%, and it was 27% after 24 month follow-up; in girls, at the beginning of the study, severe obesity BMI status was 31%, and was 12% at the end of the study (no significant differences between sexes).

Fig. 1
figure 1

Changes in BMI status (shown as percentage) throughout combined intervention of all participants (boys and girls) with BMI status improvement

Figure 2 depicts and compares the BMI status (shown as percentage) between the beginning of the study and after 12 and 24 months of follow-up of all participants (boys and girls) in this study with no BMI status improvement. Obesity BMI status significantly decreased and severe obesity BMI status significantly increased (p < 0.001) during the combined intervention. In boys, at the beginning of the study, severe obesity BMI status was 58% and increased to 90% after 24 month follow-up; in girls, at the beginning of the study, severe obesity BMI status was 31%, and it was 39% at the end of the study (p < 0.05, between sexes).

Fig. 2
figure 2

Changes in BMI status (shown as percentage) throughout combined intervention of all participants (boys and girls) with no BMI status improvement

The multiple logistic regression analysis for the presumed factors related to BMI status improvement is represented in Table 4. Girls were associated with BMI status improvement at 12 and 24 months of follow-up, and the younger age (age groups of 10–11 and 11–12 years) were exclusively associated with BMI status improvement at 24 months of follow-up. Residence (urban or rural) and degree of obesity were not associated with BMI status improvement.

Table 4 Multiple logistic regression analysis for presumed factors related to BMI status improvement

Discussion

The main outcome of this descriptive study was that application of combined and long-term strategies in adolescents with obesity by multidisciplinary teams that, in addition, include parental active implication, seems to be satisfactory. In fact, it has been observed that prolonged combined intervention (24 months) allows, in a large proportion, the maintenance and/or improvement of previously acquired changes in body compartments (at 12 months). Despite this, it is important to emphasize why these type of strategies should be started as soon as possible and, of course, the importance of intensifying periodic controls in males owing to their more frequent tendency to be refractory to treatment.

The design of the combined intervention in which these adolescents were included took into account that the effectiveness in child and adolescent obesity largely depends on the provisioning of nutritional education to the patient and the family environment. This education should include dietary changes and restrictions, as well as an increase in daily physical and quotidian activity; self-control should not be forgotten, since motivating the patient is critical so as to get good results. In other words, it is not just a matter of getting a rushed weight loss in a short period of time, since the aphorism “the child gets skinny by keeping weight since he/she is growing …” is still valid [6, 23], but rather the development of psycho-affective adherence to dietary habits and healthy lifestyles and, as a consequence, the inclusion of these changes as habits by the patient and the family.

The analysis of the follow up period revealed that 58.2% of the participants had an improvement in BMI status (with respect to the beginning of the intervention) after 24 months, whereas only 29.6% of them did not show any improvement in BMI status after 12 and 24 months. In between 12 and 24 months, 70.2% of participants maintained this improvement in BMI status (reached at 12 months) and 17.3% of participants even upgraded this BMI status, although 12.2% of them deteriorated it. In fact, even though the totality of participants at the beginning of the intervention were classified, according to BMI, as obese and severe obese, and 24% of participants had a nutritional classification of overweight after 12 months, this percentage raised to 32% by the end of the intervention and even 4% were considered in normal status. This means, the extension of the intervention up to 24 months could be considered as satisfactory, since it seems to reinforce the acquisition of healthy habits in a majority of participants who had previously upgraded BMI after 12 months of follow up. Therefore, we could consider, with cautious optimism, that the lengthening of this kind of programs might lead to even better results.

Updated systematic reviews on the effectiveness of combined long-term interventions (24 months) in the treatment of adolescents with obesity are scarce, and show wide methodological and outcome heterogeneity and, therefore, do not facilitate drawing of clear-cut conclusions [4, 8, 24,25,26]. However, all the studies analyzed show that a decrease in BMI was achieved with improvement in body composition [7, 8, 27,28,29,30] and cardiovascular risk factors [27, 28, 30, 31], but without having previously determined what would be considered a good response to treatment, as established in this study.

In this study, BMI was applied for the classification and monitoring of the nutritional status of the adolescents who were included. However, although it may be useful to define obesity [7, 9, 14, 32], it grants limited information since it does not allow to discern the proportional constitution of the different body compartments: fat mass and fat-free mass [11, 12, 33,34,35]. In addition, this limitation becomes increasingly evident in adolescence when a series of physiological changes in body composition take place [36, 37], and they might lead to a wrong estimation of weight increase as excess body fat [38, 39] if only BMI is used. Hence, since interventions on childhood obesity intend to reduce the excess of body fat without negatively affect fat-free mass and, consequently, longitudinal growth, it would be more accurate to track the changes in the fat mass and fat-free mass indices. In fact, several authors advocate the use of the fat mass index (FMI) in contrast to the BMI in order to diagnose and monitor childhood obesity, owing to the higher sensibility to detect changes in body fat [14, 19, 36]. The assessment of subcutaneous fat by skin fold measurements allows monitoring the changes that will potentially take place in fat tissue in patients after interventions designed to reduce excess body fat. The fat mass index calculated using skin fold measurement shows a good correlation with total body fat evaluated by DEXA [14, 17,18,19]. This is one of the main arguments for using these indicators in this study in order to assess the evolutionary changes in body compartments.

The analysis of participants who upgraded BMI status along the 24 months of follow up confirmed that the aphorism used as reference in this study guaranteed a progressive improvement in BMI status. In fact, as a direct consequence of the lack of changes in mean values of weight and, simultaneously, the increase of mean values of height along the follow up, the BMI z-score progressively decreased in comparison to the initial values. We should warn that, at the same time BMI z-score decreases, a series of changes in body compartments occur in both sexes. On one hand, a progressive decrease in the percentage of fat mass, and, consequently, a significant decrease in FMI is detected; on the other hand, the FFMI progressively increases also in both sexes, what could explain, to a great extent, that growing up in this patients was not affected during the period of the combined intervention. Obviously, in patients with no BMI status improvement, mean values of weight, BMI z-score, WtHR, percentage of body fat and FMI significantly increased during the follow-up period.

Waist circumference, and specially WtHR, identified central obesity in children and adolescents [15, 40], and is strongly associated with cardiovascular disease risk factors [16, 41, 42]. The analysis of the evolution of waist circumference mean values -as a sign of visceral fat-, from the beginning to the end of the follow up period, showed an evident sexual dimorphism. While a significant decrease in waist circumference and WtHR is detected during follow up in girls, there were no significant changes in boys. This may indicate that BMI status improvement is associated with a parallel decrease in visceral fat more easily in obese girls adolescents; this means, it seems like sexual dimorphism in fat distribution, characteristic of obesity in adult age, initiates in this period of life. This eventuality could have some clinical interest since it is a modifiable cardiovascular disease risk factor.

The analysis of factors presumably associated to BMI status improvement (sex, age group, place of residence and degree of obesity) confirms that female gender and a younger age showed a higher tendency to experience BMI status improvement throughout the combined intervention. Nevertheless, the location of the family residence (urban or rural areas) and the level of obesity were not associated with BMI status improvement. This finding would support the hypothesis that the negative socio cultural connotations related to girl obesity in our environment encourages girls individuals to fulfill the requirements of the program and, in this way, it would be determining in the better therapeutic response compared to boys. Furthermore, the lower age we intervene, the greater is the chance to implement and consolidate healthy habits in adolescents with obesity.

An important limitation of our study is that although every 3 months the basic theoretical and practical skill were reviewed, and the practical difficulties in the application of the combined dietary-behavioral-physical activity intervention were analyzed and intended to correct, there was no strict monitoring of caloric intake and / or daily physical activity. Nor have other variables been recorded that could, to some extent, condition the results, such as the parents’ BMI, parental education, socioeconomic status, etc. Consequently, it has not been possible to perform a regression analysis with these variables. Another limitation is that the reasons of failure to treatment have not been analyzed. It is possible to think that participants with a good response to treatment might have a special degree of motivation for dietary and lifestyle changes, especially in girls, which would determine the good response to this combined intervention. Nevertheless, we may have neither sufficiently motivated all participants nor involved their families in the study.

Conclusions

The application of an extensive combined dietary-behavioral-physical activity intervention has a positive effect in obese adolescents. As BMI decreases, a reduction in fat mass is also detected, with evident sexual dimorphism, in the absence of changes in fat-free mass and, consequently, in longitudinal growing. Finally, we should emphasize the importance of an early implementation of these strategies in children and adolescents with obesity and, above all, to intensify the periodic controls in the boys due to its high resistance to treatment.

Availability of data and materials

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Durá-Travé T, Hualde-Olascoaga J, Garralda-Torres I. Navarra Collaborating Group. Overweight among children in Navarra (Spain) and its impact on adolescence. Med Clin (Barc). 2012;138:52–6.

    Article  Google Scholar 

  2. Rajmil L, Bel J, Clofent R, Cabezas C, Castell C, Espallargues M. Clinical interventions in overweight and obesity: a systematic literature review 2009-2014. An Pediatr. 2017;87:197–212.

    Article  Google Scholar 

  3. Kriemler S, Zahner L, Schindler C, Meyer U, Hartmann T, Hebestreit H, et al. Effect of school based physical activity programme (KISS) on fitness and adiposity in primary school children: cluster randomised controlled trial. BMJ. 2010;340:C785.

    Article  PubMed  PubMed Central  Google Scholar 

  4. De Miguel-Etayo P, Moreno LA, Iglesia I, Bel-Serrat S, Mouratidou T, Garagorri JM. Body composition changes during interventions to treat overweight and obesity in children and adolescents; a descriptive review. NutrHosp. 2013;28:52–62.

    Google Scholar 

  5. Morano M, Rutigliano I, Rago A, Pettoello-Mantovani M, Campanozzi A. A multicomponent, school-initiated obesity intervention to promote healthy lifestyles in children. Nutrition. 2016;32:1075–80.

    Article  PubMed  Google Scholar 

  6. Durá-Travé T, Gallinas-Victoriano F, Urretavizcaya-Martinez M, Ahmed-Mohamed L, Guindulain MJC, Berrade-Zubiri S. Assessment of body composition changes during a combined intervention for the treatment of childhood obesity. Nutrition. 2019;59:116–20.

    Article  PubMed  Google Scholar 

  7. Reinehr T, Widhalm K, Allemand D, Wiegand S, Wabitsch M, Holl RW. Net ObesityTwo-year follow-up in 21,784 overweight children and adolescents with lifestyle intervention. Obesity (Silver Spring). 2009;17:1196–9.

    Article  CAS  Google Scholar 

  8. Hampl S, Odar-Stough C, Poppoert-Cordts K, Best C, Blackburn K, Dreyer Gillete ML. Effectiveness of a hospital-based multidisciplinary pediatric weight management program: two-year outcomes of PHIT kids. Child Obes. 2016;12:20–5.

    Article  PubMed  Google Scholar 

  9. Styne DM, Arslanian SA, Connor EL, FarooqiI S, Murad MH, Silverstein JH, et al. Pediatric obesity-assessment, treatment, and prevention: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2017;102:1–49.

    Article  Google Scholar 

  10. Kumaran A, Sakka S, Renuka P, Dias RP. Obesity in children: recent NICE guidance. Arch Dis Child Educ Pract Ed. 2017;102:84–8.

    Article  Google Scholar 

  11. Javed A, Jumean M, Murad MH, Okorodudu D, Kumar S, Somers VK, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: a systematic review and meta-analysis. Pediatr Obes. 2015;10:234–44.

    Article  CAS  PubMed  Google Scholar 

  12. Freedman DS, Ogden CL, Berenson GS, Horlick M. Body mass index and body fatness in childhood. Curr Opin Clin Nutr Metab Care. 2005;8:618e23.

    Article  Google Scholar 

  13. Peltz G, Aguirre MT, Sanderson M, Fadden MK. The role of fat mass index in determining obesity. Am J Human Biol. 2010;22:639e47.

    Article  Google Scholar 

  14. De Miguel-Etayo P, Moreno LA, Santabarbara J, Martín-Matillas M, Piqueras MJ, Rocha-Silva D, et al. Anthropometric indices to assess body-fat changes during a multidisciplinary obesity treatment in adolescents: EVASYON study. Clin Nutr. 2015;34:523–8.

    Article  PubMed  Google Scholar 

  15. Zhou D, Yang M, Yuan ZP, Zhang DD, Liang L, Wang CL, et al. Waist-to-height ratio: a simple, effective and practical screening tool for childhood obesity and metabolic syndrome. Prev Med. 2014;67C:35–40.

    Article  Google Scholar 

  16. Fraporti MI, Scherer-Adami F. Dutra-Roselen, cardiovascular risk factors in children. Rev Port Cardiol. 2017;36:699–705.

    Article  PubMed  Google Scholar 

  17. Elberg J, McDuffie JR, Sebring NG, Salaita C, Keil M, Robotham D, et al. Comparison of methods to assess change in children’s body composition. Am J Clin Nutr. 2004;80:64–9.

    Article  CAS  PubMed  Google Scholar 

  18. Sopher AB, Thornton JC, Wang J, Pierson JRN, Heymsfield SB, Horlick M. Measurement of percentage of body fat in411 children and adolescents: a comparison of dual-energyX-ray aborptiometry with a four-compartment model. Pediatrics. 2004;113:1285–90.

    Article  PubMed  Google Scholar 

  19. Schutz Y, Kyle UU, Pichard C. Fat-free mass index and fat mass index percentiles in Caucasians aged 18-98y. Int J Obes Relat Metab Disord. 2002;26:953–60.

    Article  CAS  PubMed  Google Scholar 

  20. Slaughter MH, Lohman TG, Boileau RA, Horswill CA, Stillman RJ, van Loan MD, et al. Skinfold equations for estimation of body fatness in children and youths. Hum Biol. 1988;60:709–23.

    CAS  PubMed  Google Scholar 

  21. Ferrandez A, Baguer L, Labarta JL, Labena C, Mayayo E, Puba B. Longitudinal pubertad growth according to age at pubertal study of normal Spanish children from birth to adulthood. Pediatr Endocr Rev. 2005;2:423–559.

    Google Scholar 

  22. Ford AL, Hunt LP, Cooper A, Shield JP. What reduction in BMI SDS is required in obese adolescents to improve body composition and cardiometabolic health? Arch Dis Child. 2010;95:256–61.

    Article  PubMed  Google Scholar 

  23. Durá-Travé T, Gallinas-Victoriano F, Urretavizcaya-Martinez M, Ahmed-Mohamed L, Guindulain MJC, Berrade-Zubiri S. Is valid the aphorism: the child loses weight because he/she is growing? Nutr Hosp. 2019;36:242–3.

    PubMed  Google Scholar 

  24. Al-Khudairy L, Loveman E, Colquitt JL, Mead E, Johnson RE, Fraser H, et al. Diet, physical activity and behavioural interventions for the treatment of overweight or obese adolescents aged 12 to 17 years. Cochrane Database Syst Rev. 2017;6:CD012691.

    PubMed  Google Scholar 

  25. Birch L, Perry R, Hunt LP, Matson R, Chong A, Beynon R, et al. What change in body mass index is associated with improvement in percentage body fat in childhood obesity? A meta-regression. BMJ Open. 2019;9:e028231.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wolf VLW, Samur-SanMartin JE, Sousa SF, Santos HDO, Folmann AG, Ribeiro RR, et al. Effectiveness of obesity intervention programs based in guidelines for adolescent students: systematic review. Rev Paul Pediatr. 2019;37:110–20.

    Article  PubMed  Google Scholar 

  27. Johnston CA, Tyler C, McFarlin BK, Poston WSC, Haddock CK, Reeves RS, et al. Effects of a school-based weight maintenance program for mexican-american children: Results at 2 years. Obesity (Silver Spring). 2010;18:542–7.

    Article  Google Scholar 

  28. Savoye M, Nowicka P, Shaw M, Yu S, Dziura J, Chavent G, et al. Long-term results of an obesity program in an ethnically diverse pediatric population. Pediatrics. 2011;127:402–10.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Fairclough SJ, Beighle A, Erwin H, Ridgers ND. School day segmented physical activity patterns of high and low active children. BMC Public Health. 2012;12:406.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Hofsteenge GH, Chinapaw MJ, Delemarre-van de Waal HA, Weijs PJ. Long-term effect of the Go4it group treatment for obese adolescents: a randomised controlled trial. Clin Nutr. 2014;33:385–91.

    Article  CAS  PubMed  Google Scholar 

  31. Willi SM, Hirst K, Jago R, Buse J, Kaufman F, El Ghormli L, et al. Cardiovascular risk factors in multi-ethnic middle school students: the HEALTHY primary prevention trial. Pediatr Obes. 2012;7:230–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Alves CAS, Mocellin MC, Andrade Gonçalves EC, Silva DAS, Trindade EBSM. Anthropometric indicators as body fat discriminators in children and adolescents: a systematic review and meta-analysis. Adv Nutr. 2017;8:718–27.

    Article  Google Scholar 

  33. Frankenfield DC, Rowe WA, Cooney RN, Smith JS, Becker D. Limits of body mass index to detect obesity and predict body composition. Nutrition. 2001;17:26–30.

    Article  CAS  PubMed  Google Scholar 

  34. Mei Z, Grummer-Strawn LM, Pietrobelli A, Goulding A, Goran MI, Dietz WH. Validity of body mass index compared with other body-composition screening indexes for the assessment of body fatness in children and adolescents. Am J Clin Nutr. 2002;75:978–85.

    Article  CAS  PubMed  Google Scholar 

  35. Demerath EW, Schubert CM, Maynard LM, Sun SS, Chumlea WC, Pickoff A, et al. Do changes in body mass index percentile reflect changes in body composition in children? Data from the Fels longitudinal study. Pediatrics. 2006;117:e487–95.

    Article  PubMed  Google Scholar 

  36. Okorodudu DO, Jumean MF, Montori VM, Romero-Corral A, Somers VK, Erwin PJ, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity: a systematic review and meta-analysis. Int J Obes (Lond). 2010;34:791–9.

    Article  CAS  Google Scholar 

  37. Odgen CL, Li Y, Freedman DS, Borrud LG, Flegal KM. Smoothed percentage body fat percentiles for U.S. children and adolescents, 1999-2004. Natl Health Stat Report. 2011;9:1–7.

    Google Scholar 

  38. Hattori K, Tahara Y, Moji K, Aoyagi K, Furusawa T. Chart analysis of body composition change among pre- and postadolescent Japanese subjects assessed by underwater weighing method. Int J Obes Relat Metab Disord. 2004;28:520–4.

    Article  CAS  PubMed  Google Scholar 

  39. Eissa MA, Dai S, Mihalopoulos NL, Day RS, Harrist RB, Labarthe DR. Trajectories of fat mass index, fat free-mass index, and waist circumference in children: project heart beat. Am J Prev Med. 2009;37(Suppl. 1):S34–9.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Mehta SK. Waist circumference to height ratio in children and adolescents. Clin Pediatr (Phila). 2015;54:652–8.

    Article  Google Scholar 

  41. Nemet D, Barkan S, Epstein Y, Friedland O, Kowen G, Eliakim A. Short- and long-term beneficial effects of a combined dietary-behavioral-physical activity intervention for the treatment of childhood obesity. Pediatrics. 2005;115:e443–9.

    Article  PubMed  Google Scholar 

  42. Caranti DA, de Mello MT, Prado WL, Tock L, Siqueira KO, de Piano A, et al. Short- and long-term beneficial effects of a multidisciplinary therapy for the control of metabolic syndrome in obese adolescents. Metabolism. 2007;56:1293–300.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article (none declared).

Author information

Authors and Affiliations

Authors

Contributions

TDT and FGV participated in study design and data analysis, and wrote the first draft of the manuscript. MUM, LAM, MCG and SBZ participated in data collection and analysis. All authors participated in manuscript preparation and approved its final version.

Authors’ information

Not applicable.

Corresponding author

Correspondence to Teodoro Durá-Travé.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee for Human Investigation of the Navarra Hospital Complex, Pamplona, Spain (in accordance with the ethical standards laid down in the 1964 Declaration of Hensinki and later amendments).

Parents and/or legal guardians were informed and provided consent for the participation in this study in all cases.

Consent for publication

All authors have given consent for the paper to be published by the corresponding author.

Competing interests

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article (none declared).

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Durá-Travé, T., Gallinas-Victoriano, F., Urretavizcaya-Martinez, M. et al. Effects of the application of a prolonged combined intervention on body composition in adolescents with obesity. Nutr J 19, 49 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12937-020-00570-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12937-020-00570-8

Keywords