Trends in food consumption of schoolchildren from 2nd to 5th grade: a panel data analysis
Keywords:
Child, Food consumption, Nutritional surveillanceAbstract
Objective
To identify trends in food consumption among schoolchildren (2nd-5th grades) from public schools in the city of Florianópolis, Brazil, in a period of three years.
Methods
Three cross-sectional surveys were carried out in 2013 (n=1,942), 2014 (n=1,989) and 2015 (n=2,418). Dietary intake data were obtained using the Web-Based Food Intake and Physical Activity of Schoolchildren questionnaire. Food items were aggregated to eight food groups. Kruskal-Wallis heterogeneity and trend tests were used to analyze the differences and trends among the mean intake frequency of food groups.
Results
There were trends to decrease the mean intake frequency of sweets in the total sample (2013: 0.72±0.91; 2014: 0.68±0.87; 2015: 0.67±0.89, p=0.03) which was determined by children between 7-9 years old (2013:0.69±0.88; 2014: 0.64±0.85; 2015: 0.62±0.87, p=0.02), and boys (2013: 0.75±0.90; 2014: 0.70±0.86; 2015:0.68±0.88, p=0.03). Younger children also tended to increase the mean intake frequency of fruits and vegetables(2013: 1.03±1.35; 2014: 1.16±1.45; 2015: 1.17±1.41, p=0.03) and those aged ten-12 years decreased theirintake of dairy products (2013: 1.32±1.25; 2014: 1.23±1.18; 2015: 1.20±1.20, p=0.05).
Conclusion
The results suggest positive trends for younger children, with an increased consumption of fruits and vegetablesin both sexes and decreased consumption of sweets for boys. Older children reduced their consumption of dairyproducts over the three-year period of this study.
References
Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627-42. http://dx.doi.org/10.1016/S0140-6736(17)32129-3
Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta-analysis. Obes Rev. 2016;17(2):95-107. http://dx.doi.org/10.1111/obr.12334
Henriques P, O’Dwyer G, Dias PC, Barbosa RMS, Burlandy L. Políticas de saúde e de segurança alimentar e nutricional: desafios para o controle da obesidade infantil. Cien Saúde Coletiva. 2018;23(12):4143-52. http://dx.doi.org/10.1590/1413-812320182312.34972016
Hoelscher DM, Ranjit N, Pérez A. Surveillance systems to track and evaluate obesity prevention efforts. Annu Rev Public Health. 2017;38:187-214. http://dx.doi.org/10.1146/annurev-publhealth-031816-044537
World Health Organization. Report of the Commission on Ending Childhood Obesity. Geneva: Organization; 2016 [cited 2019 Aug 4]. Available from: https://apps.who.int/iris/bitstream/handle/10665/204176/9789241510066_eng.pdf?sequence=1
Costa FF, Assis MAA, Leal DB, Campos VC, Kupek E, Conde WL. Mudanças no consumo alimentar e atividade física de escolares de Florianópolis, SC, 2002-2007. Rev Saúde Pública. 2012;46(Supl1):117-25. http://dx.doi.org/10.1590/S0034-89102012005000058
Leal DB, Assis MAA, Hinnig PF, Schmitt J, Lobo AS, Bellisle F, et al. Changes in dietary patterns from childhood to adolescence and associated body adiposity status. Nutrients. 2017;9(10):1098. http://dx.doi:10.3390/nu9101098
Rocha NP, Milagres LC, Filgueiras MDS, Suhett LG, Silva MA, Albuquerque FM, et al. Association of dietary patterns with excess weight and body adiposity in Brazilian children: the Pase-Brasil Study. Arq Bras Cardiol. 2019;113(1):52-9. http://dx.doi.org/10.5935/abc.20190113
Smpokos EA, Linardakis M, Sarri K, Papadaki A, Theodorou AS, Kafatos A. Differences in food consumption according to weight status and physical activity levels among Greek children between 1992/93 and 2006/07. J Hum Nutr Diet. 2013;26(3):259-67. http://dx.doi.org/10.1111/jhn.12004
Xue H, Wu Y, Wang X, Wang Y. Time trends in fast food consumption and its association with obesity among children in China. Plos One. 2016;11(3):e0151141. http://dx.doi:10.1371/journal.pone.0151141
Fismen A-S, Smith ORF, Torsheim T, Rasmussen M, Pagh TP, Augustine L, et al. Trends in food habits and their relation to socioeconomic status among Nordic adolescents 2001/2002-2009/2010. Plos One. 2016;11(2):e0148541. http://dx.doi:10.1371/journal.pone.0148541
Bleich SN, Vercammen KA, Koma JW, Li Z. Trends in beverage consumption among children and adults, 2003-2014. Obesity. 2018;26(2):432-41. http://dx.doi.org/10.1002/oby.22056
Universidade Federal de Santa Catarina. Sistema de monitoramento do consumo alimentar e atividade física de escolares. Florianópolis: UFSC; 2002 [citado 4 ago 2019]. Disponível em: http://caafe.ufsc.br/portal14. Leal DB, Assis MAA, González-Chica DA, Costa FF. Trends in adiposity in Brazilian 7-10-year-old schoolchildren: evidence for increasing overweight but not obesity between 2002 and 2007. Ann Hum Biol. 2014;41(3):255-62. http://dx.doi.org/10.3109/03014460.2013.854832
Instituto Brasileiro de Geografia e Estatística. Base de informações do Censo Demográfico 2010: resultados do universo por setor censitário. Rio de Janeiro: Instituto; 2011 [citado 4 ago 2019]. Disponível em: http://www.ipea.gov.br/redeipea/images/pdfs/base_de_informacoess_por_setor_censitario_universo_censo_2010.pdf
Costa FF, Schmoelz CP, Davies VF, Di Pietro PF, Kupek E, Assis MAA. Assessment of diet and physical activity of Brazilian schoolchildren: usability testing of a web-based questionnaire. JMIR Res Protoc. 2013;2(2):e31. http://dx.doi:10.2196/resprot.2646
Davies VF, Kupek E, Assis MA, Natal S, Di Pietro PF, Baranowski T. Validation of a web-based questionnaire to assess the dietary intake of Brazilian children aged 7-10 years. J Hum Nutr Diet. 2015;28(Suppl1):93-102. http://dx.doi.org/10.1111/jhn.12262
Jesus GM, Assis MA, Kupek E. Validity and reproducibility of an internet-based questionnaire (Web-CAAFE) to evaluate the food consumption of students aged 7 to 15 years. Cad Saúde Pública. 2017;33(5):e00163016. http://dx.doi.org/10.1590/0102-311x00163016
Kupek E, Assis MAA, Bellisle F, Lobo AS. Validity of WebCAAFE questionnaire for assessment of schoolchildren’s dietary compliance with Brazilian Food Guidelines. Public Health Nutr. 2016;19(13):2347-56. http://dx.doi.org/10.1017/S1368980016000732.
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(9):660-7. http://dx.doi:10.24 71/BLT.07.043497
StataCorp. Stata Statistical Software: release 13. College Station: StataCorp LP; 2013.
Martins APB, Levy RB, Claro RM, Moubarac JC, Monteiro CA. Participação crescente de produtos ultraprocessados na dieta brasileira (1987-2009). Rev Saúde Pública. 2013;47(4):656-65. http://dx.doi.org/10.1590/S0034-8910.2013047004968
Cervato-Mancuso AM, Vincha KRR, Santiago DA. Educação alimentar e nutricional como prática de intervenção: reflexão e possibilidades de fortalecimento. Physis. 2016;26(1):225-49. http://dx.doi.org/10.15 90/S0103-73312016000100013
Ong JX, Ullah S, Magarey A, Miller J, Leslie E. Relationship between the home environment and fruit and vegetable consumption in children aged 6-12 years: a systematic review. Public Health Nutr. 2017; 20(3):464-480. http://dx.doi.org/10.1017/S1368980016002883
Moraeus L, Lissner L, Olsson L, Sjöberg A. Age and time effects on children’s lifestyle and overweight in Sweden. BMC Public Health. 2015;15:355. http://dx.doi.org/10.1186/s12889-015-1635-3.
Elinder LS, Heinemans N, Zeebari Z, Patterson E. Longitudinal changes in health behaviours and body weight among Swedish schoolchildren: associations with age, gender and parental education: the SCIP school cohort. BMC Public Health. 2014;14:640. http://dx.doi.org/10.1186/1471-2458-14-640
Dror DK, Allen LH. Dairy product intake in children and adolescents in developed countries: trends, nutritional contribution, and a review of association with health outcomes. Nutr Rev. 2014;72(2):68-81. http://dx.doi.org/10.1111/nure.12078
Özen AE, Bibiloni MDM, Pons A, Tur JA. Fluid intake from beverages across age groups: a systematic review. J Hum Nutr Diet. 2015;28(5):417-42. http://dx.doi.org/10.1111/jhn.12250
Sui Z, Raubenheimer D, Cunningham J, Rangan A. Changes in meat/poultry/fish consumption in Australia: from 1995 to 2011-2012. Nutrients. 2016;8(12):753. http://dx.doi.org/10.3390/nu8120753
Foster E, Bradley J. Methodological considerations and future insights for 24-hour dietary recall assessment in children. Nutr Res. 2018;51:1-11. http://dx.doi.org/10.1016/j.nutres.2017.11.001
Monteiro LS, Hassan BK, Estima CCP, Souza AM, Verly Junior E, Sichieri R, et al. Food consumption according to the days of the week: National Food Survey, 2008-2009. Rev Saúde Pública. 2017;51. http://dx.doi.org/10.11606/s1518-8787.2017051006053
Hoffmann DA, Marx JM, Burmeister JM, Musher-Eizenman DR. Friday night is pizza night: a comparison of children’s dietary intake and maternal perceptions and feeding goals on weekdays and weekends. Int J Environ Res Public Health. 2018;15(4):720.
http://dx.doi.org/10.3390/ijerph15040720.
Boylan S, Hardy LL, Drayton BA, Grunseit A, Mihrshahi S. Assessing junk food consumption among Australian children: trends and associated characteristics from a cross-sectional study. BMC Public Health. 2017;17(1):299. http://dx.doi:10.1186/s12889-017-4207-x
Dunford EK, Popkin BM. 37 year snacking trends for US children 1977-2014. Pediatr Obes. 2018;13(4):247-55. http://dx.doi:10.1111/ijpo.12220
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Luciana Jeremias PEREIRA, Patrícia de Fragas HINNIG, Patrícia Faria DI PIETRO, Maria Alice Altenburg de ASSIS, Francilene Gracieli Kunradi VIEIRA
This work is licensed under a Creative Commons Attribution 4.0 International License.
