Association between inflammatory markers, body composition and food consumption in children and adolescents

Authors

  • Julia Souza Siqueira de Andrade Universidade Federal de Juiz de Fora, Curso de Nutrição, Departamento de Nutrição. Juiz de Fora, MG, Brasil. https://orcid.org/0009-0004-9794-3271
  • Alan Roger José Maria Universidade Federal de Juiz de Fora, Programa de Pós-Graduação em Saúde Coletiva. Juiz de Fora, MG, Brasil. https://orcid.org/0000-0002-2292-3661
  • Felipe Silva Neves Ministério da Saúde, Secretaria de Vigilância em Saúde e Ambiente, Departamento de Análise Epidemiológica e Vigilância de Doenças Não Transmissíveis, Coordenação-Geral de Vigilância de Doenças Não Transmissíveis – CGDNT. Brasília, DF, Brasil https://orcid.org/0000-0002-3294-5979
  • Maria Eduarda Ribeiro de Jesus Universidade Federal de Juiz de Fora, Curso de Nutrição, Departamento de Nutrição. Juiz de Fora, MG, Brasil. https://orcid.org/0009-0007-3418-7335
  • Miriam Carmo Rodrigues Barbosa Universidade Federal do Espírito Santo, Centro de Ciências da Saúde, Departamento de Educação Integrada em Saúde. Vitória, ES, Brasil https://orcid.org/0000-0002-7868-572X
  • Eliane Rodrigues de Faria Universidade Federal de Juiz de Fora, Curso de Nutrição, Departamento de Nutrição. Juiz de Fora, MG, Brasil. https://orcid.org/0000-0002-0482-6817

DOI:

https://doi.org/10.12957/demetra.2024.78102

Abstract

Introduction: There is a relationship between inflammation and chronic non-communicable diseases, which generally manifest in adulthood. However, it is possible to detect inflammatory changes in children and young people. Thus, it is necessary to study the factors associated with inflammation in this life stage, so that adequate interventions can be made to stop such alterations from prolonging into adulthood. Objective: To assess the association between inflammatory markers, overweight indicators and food consumption markers in children and adolescents. Methods: Transversal study with 8- to 14-year-old individuals, from public schools in Vitória/ES. To assess inflammation, we used leukocytes, C-reactive protein, and uric acid. As overweight indicators, we used waist circumference, waist-to-height ratio, BMI-for-age, and body fat percentage. To estimate the likelihood of association, we calculated
prevalence ratios and their respective 95% confidence intervals using Poisson regression models, modified for sociodemographic characteristics. Results: We evaluated 296 individuals, averaging 10.7 years of age, 54.4% female, and 53.7% adolescents. All variables at risk of overweight indicators were significant with the risk of high uric acid, in addition to the risk of increasing waist-to-height ratio (PR = 1.14), BMI-for-age (PR = 1.08), and body fat (PR = 1.10) being significant with the risk of high CRP. Conclusion: We conclude that the risk of alterations in overweight indicators was related with the risk of increased inflammatory markers in school-aged individuals.

References

Batista Filho M, Rissin A. A transição nutricional no Brasil: tendências regionais e temporais. Cad Saúde Pública [Internet]. 2003;19 (suppl 1):S181–91. https://doi.org/10.1590/S0102-311X2003000700019

World Health Organization [Internet]. Obesityandoverweight. 2021. Geneva: WHO; [cited 2024 Jan 31]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.

Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares 2008-2009 – POF. Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro, RJ 2010.

Geraldo JM, Alfenas R de CG. Papel da dieta na prevenção e no controle da inflamação crônica: evidências atuais. Arq Bras Endocrinol Metab [Internet]. 2008;52(6)):951–67. https://doi.org/10.1590/S0004-27302008000600006

Godinho AS, Gonçalves NH, Aguiar FS, Junior RFS, Bauman JM, Bauman CD. Principais Fatores Relacionados ao Sobrepeso e Obesidade Infantil. RENEF [Internet]. 21º de janeiro de 2020 [Acesso 3 Fev 2022];9(13):27-39. Disponível em: https://cev.org.br/biblioteca/principais-fatores-relacionados-ao-sobrepeso-e-obesidade-infantil/ https://doi.org/10.35258/rn2019091300028

Choe SS, Huh JY, Hwang IJ, Kim JI, Kim JB. Adipose TissueRemodeling: Its Role in Energy Metabolism and Metabolic Disorders. Front. Endocrinol. 2016 Apr12;(7). https://doi.org/10.3389/fendo.2016.00030. PMID: 27148161

Battineni G, Sagaro GG, Chintalapudi N, Amenta F, Tomassoni D, Tayebati SK. Impact of Obesity-Induced Inflammation on Cardiovascular Diseases (CVD). Int J Mol Sci. 2021 Apr 30;22(9):4798. https://doi.org/10.3390/ijms22094798. PMID: 33946540

Volp ACP, Bressan J. Os biomarcadores ácido úrico, ácido siálico e leucócitos como preditores da síndrome metabólica. Revista Brasileira de Nutrição Clínica, 2011;(26):197-201.

Orlando A, Cazzaniga E, Giussani M, Palestini P, Genovesi S. Hypertension in Children: Role of Obesity, Simple Carbohydrates, and Uric Acid. Front Public Health. 2018 May 3;6:129. https://doi.org/10.3389/fpubh.2018.00129. PMID: 29774210

Kimura Y, Yanagida T, Onda A, Tsukui D, Hosoyamada M, Kono H. Soluble Uric Acid Promotes Atherosclerosis via AMPK (AMP-Activated Protein Kinase)-Mediated Inflammation. Arterioscler Thromb Vasc Biol. 2020 Mar;40(3):570-582. https://doi.org/10.1161/ATVBAHA.119.313224. PMID: 31996020.

Siervo M, Ruggiero D, Sorice R, Nutile T, Aversano M, Iafusco M, et al. Body mass index is directly associated with biomarkers of angiogenesis and inflammation in children and adolescents. Nutrition, March 2012: 28(3):262-266. https://doi.org/10.1016/j.nut.2011.06.007

Bogea EG, Martins MLB, Carmo CDS, Nascimento JXPT, Arruda SPM, Ribeiro CCC, et al. Fatores associados aos biomarcadores inflamatórios em adolescentes: análise por modelagem de equações estruturais. Cadernos de Saúde Pública [online]. 2021;37(11) [Acesso 4 Jul 2022] ,e00212220. https://doi.org/10.1590/0102-311X00212220>.

Bernardo FMS, Rouberte ESC, Leal FKF, Meirú MIL, Ferreira JDF, Ferreira, DS. Educação em saúde para aspectos nutricionais como forma de prevenir alterações cardiovasculares: relato de experiência. Rev. enferm UFPE online 2017;11(2):765-777. https://doi.org/10.5205/reuol.10263-91568-1-RV.1102201734

Matias NCM, França AKTC, Conceição SIO, Santos AM, Alencar J Daniel, Carmo CDS, et al. Nutritional status, diet quality and inflammatory markers in adolescents. Archivos Latinoamericanos de Nutrición [Internet]. [Acesso 4 Jul 2022], 2020 Sep 12;70(4). Available from: https://www.alanrevista.org/ediciones/2020/4/art-1/# https://doi.org/10.37527/2020.70.4.001.

Neves FS, Alvim R de O, Zaniqueli D, Pani VO, Martins CR, Peçanha MA de S, et al..Tri-ponderal mass index is useful for screening children and adolescents with insulin resistance. Rev paul pediatr [Internet]. 2020;38. https://doi.org/10.1590/1984-0462/2020/38/2019066

Afiune Neto A, Mansur A de P, Avakian SD, Gomes EPSG, Ramires JAF. Monocitose é um marcador de risco independente para a doença arterial coronariana. Arq Bras Cardiol [Internet]. 2006 Mar;86(3):240-4 https://doi.org/10.1590/S0066-782X2006000300013

Lohman T, Roche A, Martorell E. Manual de referência de padronização antropométrica. Champaign: Livros de Cinética Humana; 1988 - Human Kinetics Books, Champaign, IL, ©1988. [Google Acadêmico]

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 Sep;85(9):660-7. https://doi.org/10.2471/blt.07.043497. PMID: 18026621

World Health Organization . Library Cataloguing-in-Publication Data Waist circumference and waist–hip ratio: report of a WHO expert consultation. Geneva: World Health Organization; December 2008:8-11.

Ashwell M, Hsieh SD. Six reasons why the waist-to-heigh tratiois a rapidand effective global indicator for health risks of obesity and how its use could simplify the international public health message on obesity. Int J Food Sci Nutr. 2005 Aug;56(5):303-7. https://doi.org/10.1080/09637480500195066. PMID: 16236591.

Moulin-Mares SRA, Oliosa PR, Faria ER, Zago-Gomes MP, Mill JG. Association of uricacid with cardiovascular risk in Brazilian children and adolescents. Nutr Metab Cardiovasc Dis. 2021 Jan 4;31(1):314-321. https://doi.org/10.1016/j.numecd.2020.09.012. PMID: 33223404.

Freedman DS, Wang J, Thornton JC, Mei Z, Sopher AB, Pierson RN Jr, et al. Classification of body fatness by body mass index-for-age categories among children. Arch Pediatr Adolesc Med. 2009 Sep;163(9):805-11. https://doi.org/10.1001/archpediatrics.2009.104. PMID: 19736333

Assis MAA, Benedet J, Kerpel R, Vasconcelos FAG, Di Pietro PF, Kupek E. Validação da terceira versão do Questionário Alimentar do Dia Anterior (QUADA-3) para escolares de 6 a 11 anos. Cadernos de Saúde Pública [online]. 2009;25(8):1816-1826. [Acesso 24 Jun 2022]. https://doi.org/10.1590/S0102-311X2009000800018.

Instituto Brasileiro de Geografia e Estatística. Metodologia do Censo Demográfico 2010. 2. ed. Rio de Janeiro: IBGE;2016.

Associação Brasileira de Empresas de Pesquisa. Critério Brasil 2015 e atualização da distribuição de classes para 2016. [Acesso 24 Jun 2022]. Disponível em: .

Yi Q, Li X, He Y, Xia W, Shao J, Ye Z, Song P. Associations of dietary inflammatory index with metabolic syndrome and its components: a systematic review and meta-analysis. Public Health Nutr. 2021 Nov;24(16):5463-5470. https://doi.org/10.1017/S1368980021000288. PMID: 33472715

Cani PD, Bibiloni R, Knauf C, Waget A, Neyrinck AM, Delzenne NM, Burcelin R. Changes in gut microbiota controlmetabolicendotoxemia-inducedinflammation in high-fat diet-inducedobesityand diabetes in mice. Diabetes. 2008 Jun;57(6):1470-81. https://doi.org/10.2337/db07-1403. PMID: 18305141

Lucas M, Chocano-Bedoya P, Schulze MB, Mirzaei F, O'Reilly ÉJ, Okereke OI, Hu FB, Willett WC, Ascherio A. Inflammatory dietary pattern and risk of depression among women. Brain BehavImmun. 2014 Feb;36:46-53. https://doi.org/10.1016/j.bbi.2013.09.014. Epub 2013 Oct 1. Erratum in: Brain BehavImmun. 2015 May;46:327. Shulze, Mathias B [corrected to Schulze, Matthias B]. PMID: 24095894; PMCID: PMC3947176.

Choi J, Joseph L, Pilote L. Obesity and C-reactiveprotein in various populations: a systematic review and meta-analysis. Obes Rev. 2013 Mar;14(3):232-44. https://doi.org/10.1111/obr.12003. PMID: 23171381

Higgins V, Omidi A, Tahmasebi H, Asgari S, Gordanifar K, Nieuwesteeg M, et al. Marked Influence of Adiposity on Laboratory Biomarkers in a Healthy Cohort of Children and Adolescents. J Clin Endocrinol Metab. 2020 Apr 1;105(4):e1781–97. https://doi.org/10.1210/clinem/dgz161. PMID: 31845996

Cardoso AS, Gonzaga NC, Medeiros CCM, Carvalho DF de. Relação entre ácido úrico e os componentes da síndrome metabólica e esteatose hepática não alcoólica em crianças e adolescentes com sobrepeso ou obesidade. J Pediatr (Rio J) [Internet]. 2013 Jul;89(4):412–8. https://doi.org/10.1016/j.jped.2012.12.008

Luciano R, Shashaj B, Spreghini M, Del Fattore A, Rustico C, Sforza RW, Morino GS, Dallapiccola B, Manco M. Percentiles of serum uric acid and cardiometabolic abnormalities in obese Italian children and adolescents. Ital J Pediatr. 2017 Jan;43(3) https://doi.org/10.1186/s13052-016-0321-0. PMID: 28049502

Tsushima Y, Nishizawa H, Tochino Y, Nakatsuji H, Sekimoto R, Nagao H, et al. Uricacid secretion from adipose tissue and its increase in obesity. J Biol Chem. 2013 Sep 20;288(38):27138-27149. https://doi.org/10.1074/jbc.M113.485094. PMID: 23913681

Leone C, Nascimento VG, Silva JPC, Bertoli CJ. Razão cintura/estatura: marcador de alteração nutricional em pré-escolares. Rev. bras. crescimento desenvolv. [Acesso 24 Jun 2022], 2014;24(3):289-294. Disponível em: <http://pepsic.bvsalud.org/scielo.php?script=sci_arttext&pid=S0104-12822014000300008&lng=pt&nrm=iso>. https://doi.org/dx.doi.org/10.7322/jhdg.88962

Caminiti C, Armeno M, Mazza CS. Waist-to-heightratio as a markeroflow-grade inflammation in obese children and adolescents. J Pediatr Endocrinol Metab. 2016 May 1;29(5):543-51. https://doi.org/: 10.1515/jpem-2014-0526. PMID: 26887032.

Menni C, Louca P, Berry SE, Vijay A, Astbury S, Leeming ER, et al. High intake of vegetables is linked to lower white blood cell profile and the effect is mediated by the gut microbiome. BMC Med. 2021 Feb 11;19(1):37. https://doi.org/10.1186/s12916-021-01913-w. PMID: 33568158

Badimon L, Suades R, Crespo J, Padro T, Chiva-Blanch G. Diet, micro particles and atherothrombosis. Front Biosci (Landmark Ed). 2018 Jan 1;23(3):432-457. https://doi.org/10.2741/4598. PMID: 28930554.

Mc Geoghegan L, Muirhead CR, Almoosawi S. Association between ananti-inflammatory and anti-oxidant dietary pattern and diabetes in British adults: results from the national diet and nutrition survey rolling programme years 1-4. Int J FoodSciNutr. 2015;67(5):553-61. https://doi.org/10.1080/09637486.2016.1179268

Published

2024-05-06

How to Cite

Andrade, J. S. S. de, Maria, A. R. J., Neves, F. S., de Jesus, M. E. R., Barbosa, M. C. R., & de Faria, E. R. (2024). Association between inflammatory markers, body composition and food consumption in children and adolescents. DEMETRA: Food, Nutrition & Health, 19, e78102. https://doi.org/10.12957/demetra.2024.78102

Issue

Section

Clinical Nutrition