IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i8p992-d1445245.html
   My bibliography  Save this article

Exploring Maternal Socio-Demographic Factors Shaping Children’s Dietary Patterns in Brazil: Results from the 2019 National Health Survey

Author

Listed:
  • Flávia dos Santos Barbosa Brito

    (Nutrition Institute, Rio de Janeiro State University, São Francisco Xavier Street, 524, Rio de Janeiro 20550-900, Brazil)

  • Emanuela Santos da Costa

    (Nutrition Institute, Rio de Janeiro State University, São Francisco Xavier Street, 524, Rio de Janeiro 20550-900, Brazil)

  • Ariane Cristina Thoaldo Romeiro

    (Centro Universitário Serra dos Órgãos, Teresópolis 25964-004, Brazil)

  • Debora Martins dos Santos

    (Nutrition Institute, Rio de Janeiro State University, São Francisco Xavier Street, 524, Rio de Janeiro 20550-900, Brazil)

  • Alexandre dos Santos Brito

    (Instituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil)

  • Alessandra Silva Dias de Oliveira

    (Nutrition Institute, Rio de Janeiro State University, São Francisco Xavier Street, 524, Rio de Janeiro 20550-900, Brazil)

  • Amanda Rodrigues Amorim Adegboye

    (Centre for Agroecology, Water and Resilience (CAWR), Coventry University, Coventry CV8 3LG, UK
    Centre for Healthcare Research, Coventry University, Coventry CV1 5FB, UK)

Abstract

This study aimed to identify the dietary patterns of Brazilian children aged 6–23 months and to investigate their association with maternal socio-demographic factors. Data from the 2019 Brazilian National Health Survey were used in this cross-sectional study. Mothers of 1616 children aged 6–23 months reported on their children’s dietary intake. Dietary patterns were identified using principal component analysis, and their associations with maternal socio-demographic characteristics were assessed using linear regression models. The first consisted of healthy patterns and the second, unhealthy ones. Linear regression showed that adherence to a healthy dietary pattern was higher among children of mothers who were older (β = 0.02, p = 0.01), had more years of education (β = 0.49, p = 0.04), reported living with a partner (β = 0.29, p = 0.01), and resided in an urban area (β = 0.35, p = 0.01). Conversely, adherence to the unhealthy pattern was positively associated with mothers who declared themselves as black or brown (β = 0.25, p = 0.03). Our results show that older mothers with higher levels of education and paid work and who live with a partner are more likely to contribute to their children’s healthy eating patterns. We conclude that socio-demographic factors may influence the quality of the food offered to children. Nevertheless, advocating for public policies promoting nutritious complementary diets emphasising fresh and minimally processed foods remains crucial for children whose mothers do not possess these favourable socio-demographic characteristics.

Suggested Citation

  • Flávia dos Santos Barbosa Brito & Emanuela Santos da Costa & Ariane Cristina Thoaldo Romeiro & Debora Martins dos Santos & Alexandre dos Santos Brito & Alessandra Silva Dias de Oliveira & Amanda Rodri, 2024. "Exploring Maternal Socio-Demographic Factors Shaping Children’s Dietary Patterns in Brazil: Results from the 2019 National Health Survey," IJERPH, MDPI, vol. 21(8), pages 1-12, July.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:992-:d:1445245
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/8/992/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/21/8/992/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. Ron Johnston & Kelvyn Jones & David Manley, 2018. "Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1957-1976, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.
    2. Hren, Darko & Pina, David G. & Norman, Christopher R. & Marušić, Ana, 2022. "What makes or breaks competitive research proposals? A mixed-methods analysis of research grant evaluation reports," Journal of Informetrics, Elsevier, vol. 16(2).
    3. Fernando Castelló-Sirvent & Pablo Pinazo-Dallenbach, 2021. "Corruption Shock in Mexico: fsQCA Analysis of Entrepreneurial Intention in University Students," Mathematics, MDPI, vol. 9(14), pages 1-31, July.
    4. Matkovskyy, Roman, 2013. "To the Problem of Financial Safety Estimation: the Index of Financial Safety of Turkey," MPRA Paper 47673, University Library of Munich, Germany.
    5. Jha, Raghbendra & Murthy, K. V. Bhanu, 2003. "An inverse global environmental Kuznets curve," Journal of Comparative Economics, Elsevier, vol. 31(2), pages 352-368, June.
    6. Rodríguez-Fuentes, Carlos Javier & Hernández-López, Montserrat, 1997. "Análisis de diferencias estructurales interregionales determinantes en el impacto de la política monetaria," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 7, pages 141-157, Junio.
    7. Ivaldi, Enrico, 2013. "Proposal of a country risk index based on a factorial analysis - Una proposta di indice di rischio paese basato sull’analisi fattoriale: una applicazione ai paesi del sud del Mediterraneo e ai paesi d," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 66(2), pages 231-249.
    8. Vesselina Dimitrova & Georgi Marinov & Lino Manosperta, 2019. "Developing Low-Carbon Tourism In Puglia: Case Study Of I. Archeo.S Project," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 16-32.
    9. Noor Nahar Begum & Sarabia Rahman, 2016. "An Analytical Study on Investors¡¯ Preference towards Mutual Fund Investment: A Study in Dhaka City, Bangladesh," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 184-191, October.
    10. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    11. De Nicola, Arianna & Gitto, Simone & Mancuso, Paolo, 2013. "Airport quality and productivity changes: A Malmquist index decomposition assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 67-75.
    12. Henk Kiers, 1994. "Simplimax: Oblique rotation to an optimal target with simple structure," Psychometrika, Springer;The Psychometric Society, vol. 59(4), pages 567-579, December.
    13. Dolores Gallardo-Vázquez, 2023. "Attributes influencing responsible tourism consumer choices: Sustainable local food and drink, health-related services, and entertainment," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 645-686, June.
    14. Iara Oliveira Fernandes & José Fernandes de Melo Filho & Karolina Oliveira Rocha Montenegro & Ésio de Castro Paes & Sergio Ricardo Matos Almeida & João Albany Costa & Franceli da Silva, 2024. "Physical and Chemical Attributes of Yellow Oxisol With the Application of Cassava Wastewater After Intensive Mechanical Preparation," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(6), pages 113-113, April.
    15. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    16. Edyta Puskarczyk, 2020. "Application of Multivariate Statistical Methods and Artificial Neural Network for Facies Analysis from Well Logs Data: an Example of Miocene Deposits," Energies, MDPI, vol. 13(7), pages 1-18, March.
    17. Iversen, Sara V. & Naomi, van der Velden & Convery, Ian & Mansfield, Lois & Holt, Claire D.S., 2022. "Why understanding stakeholder perspectives and emotions is important in upland woodland creation – A case study from Cumbria, UK," Land Use Policy, Elsevier, vol. 114(C).
    18. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    19. Han-Sol Lee & Sergey U. Chernikov & Szabolcs Nagy & Ekaterina A. Degtereva, 2022. "The Impact of National Culture on Innovation: A Comparative Analysis between Developed and Developing Nations during the Pre- and Post-Crisis Period 2007–2021," Social Sciences, MDPI, vol. 11(11), pages 1-14, November.
    20. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:992-:d:1445245. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.