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Articles
Published: 03-06-2022

A Follow-up Study of Overweight Children and Adolescents with Diet Therapy Adjusted by Indirect Calorimetry

Postgraduate Program in Child and Adolescent Health, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
Department of Medicine, Universidade federal de São Carlos, São Carlos, SP, Brazil
School of Nursing, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
Postgraduate Program in Child and Adolescent Health, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
obesity child adolescent diet indirect calorimetry body mass index

Abstract

Introduction: Changes in lifestyle have led to an increase in the prevalence of excess weight. Several interventions intended to reverse this situation have been tested. Methods: We evaluated changes in the z-score for body mass index in children and adolescents after dietary management adjusted by indirect calorimetry. During 1 year, a monthly follow-up was performed on 27 children and adolescents (8–15 years) with overweight/obesity (z-score for body mass index ≥ + 1); body weight and stature measurements were collected at inclusion, at 6, and at 12 months after indirect calorimetry. Each participant received a diet adjusted by the value of indirect calorimetry. The basal metabolic rate (BMR) was evaluated to understand how to behave according to the bodily changes induced by the intervention. For statistical analyses, repeated-measures analysis of variance (ANOVA) were performed. Results: The z-score for body mass index showed a reduction by the end of the study (-0.17 ± 0.05 [p = 0.014]). The BMR dropped during the first 6 months but returned to baseline values after 12 months (p = 0.231). Conclusion: Dietary management adjusted by BMR for obese children and adolescents with excess weight, with monthly appointments, was effective after 12 months of intervention; the weight loss did not cause significant change of BMR in this period.

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References

  1. Seaman DR. Weight gain as a consequence of living a modern lifestyle: a discussion of barriers to effective weight control and how to overcome them. J Chiropr Humanit 2013; 20 (01) 27-35
  2. Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008–2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro; 2010
  3. Oude Luttikhuis H, Baur L, Jansen H. , et al. Interventions for treating obesity in children. Cochrane Database Syst Rev 2009; (01) CD001872
  4. Bryant M, Ashton L, Brown J. , et al. Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): evidence of purpose, application, validity, reliability and sensitivity. Health Technol Assess 2014; 18 (51) 1-380
  5. Spear BA, Barlow SE, Ervin C. , et al. Recommendations for treatment of child and adolescent overweight and obesity. Pediatrics 2007; 120 (Suppl. 04) S254-S288
  6. Voss C, Sandercock G, Wharf Higgins J. , et al. A cross-cultural comparison of body composition, physical fitness and physical activity between regional samples of Canadian and English children and adolescents. Can J Public Health 2014; 105 (04) e245-e250
  7. Hills AP, Mokhtar N, Brownie S, Byrne NM. Childhood obesity in Asia: the value of accurate body composition methodology. Asia Pac J Clin Nutr 2014; 23 (03) 339-343
  8. Beghetto MG, Mello PP, Mello ED. Evolução antropométrica em um programa ambulatorial de manejo do excesso de peso infantil. Revista AMRIGS 2011; 55: 255-259
  9. Associação Brasileira de Empresas de Pesquisa. Critério de classificação econômica Brasil. Avaiable in: www.abep.org . Acessed in april/2010.
  10. Brasil. Ministério da Saúde.Secretaria de Atenção à Saúde.Departamento de Atenção Básica.Coordenação-Geral da Política de Alimentação e Nutrição. Vigilância alimentar e nutricional - Sisvan: orientações básicas para a coleta, processamento, análise de dados e informação em serviços de saúde. Brasília; 2004
  11. Kuczmarski RJ, Ogden CL, Guo SS. , et al. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11 2002; (246) 1-190
  12. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007; 85 (09) 660-667
  13. Associação Brasileira de Nutrologia; Sociedade Brasileira de Nutrição Parenteral e Enteral; Sociedade Brasileira de Clínica Médica. Projeto Diretrizes: Gasto Energético Avaliado pela Calorimetria Indireta; 2009
  14. FAO/WHO/UNU Expert Consultation. Energy and protein requirements. WHO Tech Rep Ser.n°724. World Health Organization; Geneva: 1985
  15. Anção MS, Cuppari L, Tudisco ES, Draibe AS, Sigulem DM. . Sistema de Apoio à Nutrição. NutWin [computer program]. Version 2.5. São Paulo: Centro de Informática em Saúde, Universidade Federal de São Paulo/Escola Paulista de Medicina; 2002
  16. Kyle UG, Bosaeus I, De Lorenzo AD. , et al; ESPEN. Bioelectrical impedance analysis-part II: utilization in clinical practice. Clin Nutr 2004; 23 (06) 1430-1453
  17. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child 1970; 45 (239) 13-23
  18. Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child 1969; 44 (235) 291-303
  19. Codoñer-Franch P, Murria-Estal R, Tortajada-Girbés M, del Castillo-Villaescusa C, Valls-Bellés V, Alonso-Iglesias E. New factors of cardiometabolic risk in severely obese children: influence of pubertal status. Nutr Hosp 2010; 25 (05) 845-851
  20. Dayrell C, Urasaki R, Goulart R, Ribeiro S. Food consumption and energy expenditure in obese and non-obese adolescents. Rev Paul Pediatr 2009; 27 (04) 374-380
  21. Benedetti F, Bosa V, Mocelin H, Paludo J, Mello E, Fischer G. Energy expenditure in overweight, asthmatic adolescents: indirect calorimetry and prediction equations. Rev Nutr 2011; 24 (01) 31-40
  22. Tang Q, Ruan H, Tao Y, Zheng X, Shen X, Cai W. Effects of a summer program for weight management in obese children and adolescents in Shanghai. Asia Pac J Clin Nutr 2014; 23 (03) 459-464
  23. Ministério da Saúde. Curvas de Crescimento da Organização Mundial da Saúde – OMS. http://nutricao.saude.gov.br/sisvan.php?conteudo=curvas_cresc_oms2007
  24. Singh AS, Chin A Paw MJ, Brug J, van Mechelen W. Short-term effects of school-based weight gain prevention among adolescents. Arch Pediatr Adolesc Med 2007; 161 (06) 565-571
  25. Salas M, Gattas V, Ceballos X, Burrows R. Tratamiento integral de la obesidad infantil: Efecto de una intervención psicológica. Rev Med Chil 2010; 138: 1217-1225
  26. Kolsgaard ML, Joner G, Brunborg C, Anderssen SA, Tonstad S, Andersen LF. Reduction in BMI z-score and improvement in cardiometabolic risk factors in obese children and adolescents. The Oslo Adiposity Intervention Study - a hospital/public health nurse combined treatment. BMC Pediatr 2011; 11: 47
  27. Sabin MA, Ford A, Hunt L, Jamal R, Crowne EC, Shield JP. Which factors are associated with a successful outcome in a weight management programme for obese children?. J Eval Clin Pract 2007; 13 (03) 364-368
  28. 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 (04) 256-261
  29. Shrewsbury VA, Nguyen B, O'Connor J. , et al. Short-term outcomes of community-based adolescent weight management: The Loozit® Study. BMC Pediatr 2011; 11: 13
  30. Epstein LH, Wing RR, Penner BC, Kress MJ. Effect of diet and controlled exercise on weight loss in obese children. J Pediatr 1985; 107 (03) 358-361

How to Cite

Koglin, G., Nogueira-de-Almeida, C. A., Beghetto, M. G., & Mello, E. D. de. (2022). A Follow-up Study of Overweight Children and Adolescents with Diet Therapy Adjusted by Indirect Calorimetry. International Journal of Nutrology, 12(1), 29–34. https://doi.org/10.1055/s-0039-1693675