Adherence to the 10 steps for a healthy diet in pregnant women in Southeast Brazil
DOI:
https://doi.org/10.36311/jhgd.v32.13329Keywords:
Pregnant women, Prenatal Nutrition, Technology, Health PromotionAbstract
Introduction: Nutritional guidelines in prenatal care can influence the pregnant woman's eating behavior, reducing the risks for the mother-baby binomial.
Objective: To analyze adherence to the 10 steps for healthy eating during pregnancy and its association with maternal and socioeconomic factors in pregnant women in Espírito Santo, Brazil.
Methods: Data were obtained through an electronic questionnaire widely publicized on social networks. Socioeconomic, prenatal and eating behavior data were collected from 368 participants. The 10 Steps to Healthy Eating during pregnancy, adapted from the Brazilian Ministry of Health, using the Praise-Guide-Recommend System (EOR) were used as evaluation criteria. Pearson's chi-square test and Fisher's exact test were used to analyze differences between proportions. The binary logistic regression model was used to investigate the association between independent variables and steps towards healthy eating. A significance level of 5% and a confidence interval of 95% were adopted.
Results: Most pregnant women reported adherence of 3 to 5 steps (78.5%), fitting into the O-Orientation category. It was observed that receiving nutritional guidance during prenatal care increased adherence in step 4 (OR: 1.99; 95%CI: 1.26-3.15), in step 5 (OR: 2.02; 95%CI: 1 .26-3.24) and step 9 (OR: 1.66; 95%CI: 1.66-2.58).
Conclusion: The results suggest the need to strengthen prenatal actions, mainly related to guidelines on encouraging healthy and adequate eating habits.
Downloads
References
GBD 2017 Diet Collaborators (2019). Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet (London, England), 393(10184), 1958–1972. DOI: https://doi.org/10.1016/S0140
Sato PM, Couto MT, Wells J, Cardoso MA, Devakumar D, Scagliusi FB. Mothers’ food choices and consumption of ultra-processed foods in the Brazilian Amazon: A grounded theory study. Appetite. 2020; 148:104602. DOI: https://doi.org/10.1016/j.appet.2020.104602
Oliveira M, Santos L. Dietary guidelines for Brazilian population: Ananalys is from the cultural and social dimensions of food. Ciênc. saúde coletiva. 2020; 25(7): 2519-2528. DOI: http://dx.doi.org/10.1590/1413-81232020257.22322018
Gabe KT, Tramontt CR, Jaime PC. Implementation of food-based dietary guidelines: conceptual framework and analysis of the Brazilian case. Public Health Nutr. 2021; 24(18): 6521-6533. DOI: https://doi.org/10.1017/S1368980021003475
Department of Agriculture and U.S. Department of Health and Human Services [Internet]. [Dietary Guidelines for Americans, 2020-2025]. 9nd ed. 2020. Available from: https://www.dietaryguidelines.gov/sites/default/files/2020-12/Dietary_Guidelines_for_Americans_2020-2025.pdf
Hoffmann JF, Camey S, Olinto MTA, Schmidt MI, Ozcariz SGI, Melere C, et al. Dietary patterns during pregnancy and the association with sociodemographic characteristics among women attending general practices in southern Brazil: the ECCAGe Study. Cad. Saúde Pública. 2013; 29 (5) 970-980. DOI: https://doi.org/10.1590/S0102-311X2013000500014
Araújo ES, Santana JM, Brito SM, Santos DB. Consumo alimentar de gestantes atendidas em Unidades de Saúde. O Mundo da Saúde. 2016; 40(1): 28-37. DOI: http://dx.doi.org/10.15343/0104-7809.201640012837
Rohatgi KW, Tinius RA, Cade WT, Steele EM, Cahill AG, Parra DC. Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women. PeerJ. 2017; 5: e4091. DOI: https://doi.org/10.7717/peerj.4091
Raghavan R, Dreibelbis C, Kingshipp BL, Wong YP, Abrams B, Gernand AD, et al. Dietary patterns before and during pregnancy and birth outcomes: a systematic review. Am J Clin Nutr. 2019 Mar 1; 109(Suppl_7): 729S-756S. DOI: http://dx.doi.org/10.1093/ajcn/nqy353
McMillen IC, MacLaughlin SM, Muhlhausler BS, Gentili S, Duffield JL, Morrison JL. Developmental origins of adult health and disease: the role of periconceptional and foetal nutrition. Basic Clin Pharmacol Toxicol. 2008 Feb; 102(2): 82-9. DOI: http://dx.doi.org/10.1111/j.1742-7843.2007.00188.x
Ministério da Saúde. Secretaria de Atenção à Saúde. Departamento de Atenção Básica [Internet]. [Food guide for the Brazilian population]. 2nd ed. Brasília (DF): Ministério da Saúde; 2014. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/guia_alimentar_populacao_brasileira_2ed.pdf
Gomes CB, Vasconcelos LG, Cintra RMGC, Dias LCGD, Carvalhaes MABL. Hábitos alimentares das gestantes brasileiras: revisão integrativa da literatura. Ciênc. saúde coletiva. 2019; 24(6): 2293-2306. DOI: https://doi.org/10.1590/1413-81232018246.14702017
Graciliano NG, Silveira JACD, Oliveira ACM. The consumption of ultra-processed foods reduces overall quality of diet in pregnant women. Cad Saude Publica. 2021; 37(2): e00030120. DOI: https://doi.org/10.1590/0102-311X00030120
Miele MJ, Souza RT, Calderon IM, Feitosa FE, Leite DF, Rocha Filho EA, et al. The food patterns of a multicenter cohort of Brazilian nulliparous pregnant women. Sci Rep. 2021; 11(1): 15554. DOI: http://dx.doi.org/10.1038/s41598-021-95185-2
Malta MB, Carvalhaes MA, Takito MY, Tonete VL, Barros AJ, Parada CM et al. Educational intervention regarding diet and physical activity for pregnant women: changes in knowledge and practices among health professionals. BMC Pregnancy Childbirth. 2016 Jul 20; 16(1): 175. DOI: https://doi.org/10.1186/s12884-016-0957-1
Secretaria de Estado de Saúde do Espírito Santo. Tabulação de dados [Internet]. [Nascidos Vivos segundo Ano do Nascimento. Período: 2020]. Vitória (ES): Secretaria de Estado de Saúde do Espírito Santo; 2021. Available from: http://tabnet.saude.es.gov.br/cgi/tabcgi.exe?tabnet/sinasc/sinasc2006/sinasc2006.def
Couto SF, Madruga SW, Neutzling MB, Silva MC. Frequência de adesão aos “10 Passos para uma Alimentação Saudável” em escolares adolescentes. Ciênc. saúde coletiva. 2014; 19(5): 1589-1599. DOI: http://dx.doi.org/10.1590/1413-81232014195.21392013
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009; 42(2): 377-381. DOI: http://dx.doi.org/10.1016/j.jbi.2008.08.010
Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019; 95: 103208. DOI: http://dx.doi.org/10.1016/j.jbi.2019.103208
Secretaria Municipal da Saúde de São Paulo. Programa da Saúde da Família [Internet]. [Toda hora é hora de cuidar – Caderno da equipe]. São Paulo. Available from: http://www.ee.usp.br/site/dcms/app/webroot/uploads/arquivos/caderno_equipe.pdf
McGowan CA, McAuliffe FM. Maternal dietary patterns and associated nutrient intakes during each trimester of pregnancy. Public Health Nutr. 2013; 16(1): 97-107. DOI: https://doi.org/10.1017/S1368980012000997
Martinelli KG, Gama SGN, Santos ET. The role of parity in the mode of delivery in advanced maternal age women. Rev. Bras. Saude Mater. Infant. 2021; 21(1): 65-75. DOI: https://doi.org/10.1590/1806-93042021000100004
Aldrighi JD, Wal ML, Souza SRRK, Cancela FZV. The experiences of pregnant women at an advanced maternal age: an integrative review. Rev Esc Enferm USP. 2016; 50(3): 509-518. DOI: http://dx.doi.org/10.1590/S0080-623420160000400019
Myles M, Gennaro S, Dubois N, O’Connor C, Roberts K. Nutrition of Black Women During Pregnancy. J Obstet Gynecol Neonatal Nurs. 2017; 46(3): e83-e94. DOI: http://dx.doi.org/10.1016/j.jogn.2017.01.007
Gennaro S, Biesecker B, Fantasia HC, Nguyen M, Garry D. Nutrition profiles of African [corrected] American women in the third trimester [published correction appears in MCN Am J Matern Child Nurs. 2011 May-Jun;36(3):168]. MCN Am J Matern Child Nurs. 2011; 36(2): 120-126. DOI: http://dx.doi.org/10.1097/NMC.0b013e3182057a13
Victora CG, Matijasevich A, Silveira MF, Santos IS, Barros AJD, Barros FC. Socio-economic and ethnic group inequities in antenatal care quality in the public and private sector in Brazil. Health Policy Plan. 2010 Jul; 25(4): 253-61. DOI: http://dx.doi.org/10.1093/heapol/czp065
Flynn AC, Begum S, White SL, et al. Relationships between Maternal Obesity and Maternal and Neonatal Iron Status. Nutrients. 2018; 10(8): 1000. DOI: https://doi.org/10.3390/nu10081000
Desyibelew HD, Dadi AF. Burden and determinants of malnutrition among pregnant women in Africa: A systematic review and meta-analysis. PLoS One. 2019; 14(9): e0221712. DOI: https://doi.org/10.1371/journal.pone.0221712
Coelho NLP, Cunha DB, Esteves APP, Lacerda EMA, Theme Filha MM. Dietary patterns in pregnancy and birth weight. Rev. Saúde Pública. 2015; 49. DOI: https://doi.org/10.1590/S0034-8910.2015049005403
Canuto R, Fanton M, Lira PIC. Social inequities in food consumption in Brazil: a critical review of the national surveys. Cienc Saude Colet 2019; 24(9): 3193-3212
Pereira MT, Cattafesta M, Santos-Neto ET, Salaroli LB. Maternal and Sociodemographic Factors Influence the Consumption of Ultraprocessed and Minimally-Processed Foods in Pregnant Women. Rev. Bras. Ginecol. Obstetrícia. 2020; 42(07):380-389. DOI: http://dx.doi.org/10.1055/s-0040-1712996
Oliveira SC, Fernandes AFC, Vasconcelos EMR, Ximenes LB, Leal LP, Cavalcanti AMTS, et al. Efeito de uma intervenção educativa na gravidez: ensaio clínico randomizado em cluster. Acta Paul Enferm. 2018; 31(3): 291-298. DOI: http://dx.doi.org/10.1590/1982-0194201800041
Kotlar B, Gerson E, Petrillo S, Langer A, Tiemeier. The impact of the COVID-19 pandemic on maternal and perinatal health: a scoping review. Reprod Health. 2021; 18(10). DOI: https://doi.org/10.1186/s12978-021-01070-6
Martin MM, Knobel R, Nandi V, Pereira JG, Trapani Junior A, Andreucci CB. Adequacy of Antenatal Care during the COVID-19 Pandemic: Observational Study with Postpartum Women. Rev Bras Ginecol Obstet. 2022. DOI: https://doi.org/10.1055/s-0041-1741450
Schwab FCBS, Ferreira L, Martinelli KG, Esposti CDD, Pacheco KTS, Oliveira AE, et al. Fatores associados à atividade educativa em saúde bucal na assistência pré-natal. Ciênc. saúde coletiva. 2021; 26(3): 1115-1126. DOI: https://doi.org/10.1590/1413-81232021263.12902019
Viellas EF, Domingues RMSM, Dias MAB, da Gama SGN, Theme Filha MM, Costa JV, et al. Prenatal care in Brazil. Cad Saúde Pública. 2014; 30(1): 85-100. DOI: https://doi.org/10.1590/0102-311X00126013
Flores TR, Neves RG, Mielke GI, Bertoldi AD, Nunes BP. Desigualdades na cobertura da assistência pré-natal no Brasil: um estudo de abrangência nacional. Ciênc. saúde coletiva. 2021; 26(02): 593-600. DOI: https://doi.org/10.1590/1413-81232021262.26792019
Esposti CDD, Santos Neto ET, Oliveira AE, Travassos C, Pinheiro RS. Desigualdades sociais e geográficas no desempenho da assistência pré-natal de uma Região Metropolitana do Brasil. Ciênc. saúde coletiva. 2020; 25(5): 1735-1750. DOI: https://doi.org/10.1590/1413-81232020255.32852019
Martinelli KG, Santos Neto ET, Gama SGN, Oliveira AE. Adequação do processo da assistência pré-natal segundo os critérios do Programa de Humanização do Pré-natal e Nascimento e Rede Cegonha. Rev. Bras. Ginecol. Obstet. 2014; 36(02): 56-64. DOI: https://doi.org/10.1590/S0100-72032014000200003
Leal MC, Esteves-Pereira AP, Viellas EF, Domingues RMSM, Gama SGN. Prenatal care in the Brazilian public health services. Rev. Saúde Pública. 2020; 54(8). DOI: https://doi.org/10.11606/s1518-8787.2020054001458
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Prado CB, Santos Neto ETS, Rissino SD, Gomes DR, Salaroli LB
This work is licensed under a Creative Commons Attribution 4.0 International License.