IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i8p3895-d531981.html
   My bibliography  Save this article

Sociodemographic, Behavioral and Oral Health Factors in Maternal and Child Health: An Interventional and Associative Study from the Network Perspective

Author

Listed:
  • Juliana Ribeiro Francelino Sampaio

    (Faculty of CECAPE, Medicine College Estácio of Juazeiro do Norte, Juazeiro do Norte, CE 63040-360, Brazil)

  • Suely Arruda Vidal

    (Study Group on Health Management and Evaluation at IMIP/Pernambuco, Institute of Integral Medicine Fernando Figueira—IMIP, Recife, PE 50070-550, Brazil
    Post-Graduation Stricto Sensu, Institute of Integral Medicine Professor Fernan-do Figueira—IMIP, Recife, PE 50070-550, Brazil)

  • Paulo Savio Angeiras de Goes

    (Child and Adolescent Health Program, Department of Clinic and Preventive Dentistry, Federal University of Pernambuco—UFPE, Recife, PE 50670-901, Brazil)

  • Paulo Felipe R. Bandeira

    (Center for Biological and Health Sciences, Regional University of Cariri-URCA/Ceará, Northeastern Family Health Training Network—RENASF, Crato, CE 63105-000, Brazil)

  • José Eulálio Cabral Filho

    (Post-Graduation Stricto Sensu, Institute of Integral Medicine Professor Fernan-do Figueira—IMIP, Recife, PE 50070-550, Brazil
    Brazilian Journal of Maternal and Child Health of IMIP, Recife, PE 50070-550, Brazil)

Abstract

Oral healthcare during pregnancy needs to be part of the assistance routine given to pregnant women by health professionals as a way to encourage self-care and strengthen the general health of the mother and the baby. The aim of this study was to evaluate the effectiveness of an integrated oral healthcare intervention for pregnant women and to analyze the association of sociodemographic, behavioral, oral health and general maternal and child health factors in prenatal care at usual risk in primary care in a city in the northeast of Brazil, in 2018–2019. A controlled, randomized, single-blinded community trial was conducted. The intervention group (IG) received dental assistance and collective health education actions in conversation circles, while the control group (CG) received the usual assistance. All pregnant women (146 in total, 58 from IG and 88 from CG) that took part in the trial answered a questionnaire and underwent a dental examination at the beginning of prenatal care and at the puerperal visit. To assess the effect of the intervention, a network analysis was used. The results have shown that being in the control group was associated with neonatal complications (0.89) and prematurity (0.54); the use of tobacco and alcohol are associated with high risk in initial and final oral health; lower educational level of the pregnant women implicates high risk for initial oral health (−0.19), final oral health (−0.26), pregnancy complications (−0.13), low birth weight (−0.23), prematurity (−0.19) and complications in the newborn (−0.14). Having a low family income (≤261.36 USD) has shown a high risk for initial oral health (−0.14), final oral health (−0.20) and prematurity (−0.15). The intervention based on integrated oral healthcare for pregnant women indicated that socioeconomic and behavioral factors must be considered as determinants for the quality of women and children’s health and that multi-professional performance during prenatal care contributes to the positive outcomes of pregnancy.

Suggested Citation

  • Juliana Ribeiro Francelino Sampaio & Suely Arruda Vidal & Paulo Savio Angeiras de Goes & Paulo Felipe R. Bandeira & José Eulálio Cabral Filho, 2021. "Sociodemographic, Behavioral and Oral Health Factors in Maternal and Child Health: An Interventional and Associative Study from the Network Perspective," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:3895-:d:531981
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/8/3895/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/8/3895/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Jiahua Chen & Zehua Chen, 2008. "Extended Bayesian information criteria for model selection with large model spaces," Biometrika, Biometrika Trust, vol. 95(3), pages 759-771.
    3. Clarice Maria de Lucena Martins & Cain Craig Truman Clark & Paulo Felipe Ribeiro Bandeira & Jorge Mota & Michael Joseph Duncan, 2020. "Association between Compliance with the 24-Hour Movement Guidelines and Fundamental Movement Skills in Preschoolers: A Network Perspective," IJERPH, MDPI, vol. 17(15), pages 1-13, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ewelina Chawłowska & Monika Karasiewicz & Agnieszka Lipiak & Rafał Staszewski & Mateusz Cofta & Maria Biskupska & Bogusz Giernaś & Agnieszka Zawiejska, 2022. "Oral Health Behaviours, Knowledge, and Literacy of Expectant Mothers: A Cross-Sectional Study among Maternity Ward Patients," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    2. Mauro Henrique Nogueira Guimarães de Abreu & Alex Junio Silva Cruz & Ana Cristina Borges-Oliveira & Renata de Castro Martins & Flávio de Freitas Mattos, 2021. "Perspectives on Social and Environmental Determinants of Oral Health," IJERPH, MDPI, vol. 18(24), pages 1-9, December.

    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. Elenice de Sousa Pereira & Mabliny Thuany & Paulo Felipe Ribeiro Bandeira & Thayse Natacha Q. F. Gomes & Fernanda Karina dos Santos, 2023. "How Do Health, Biological, Behavioral, and Cognitive Variables Interact over Time in Children of Both Sexes? A Complex Systems Approach," IJERPH, MDPI, vol. 20(3), pages 1-19, February.
    2. Tho Nguyen & Ladda Thiamwong & Qian Lou & Rui Xie, 2024. "Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis," Mathematics, MDPI, vol. 12(9), pages 1-18, April.
    3. Dora Gyori & Bernadett Frida Farkas & Lili Olga Horvath & Daniel Komaromy & Gergely Meszaros & Dora Szentivanyi & Judit Balazs, 2021. "The Association of Nonsuicidal Self-Injury with Quality of Life and Mental Disorders in Clinical Adolescents—A Network Approach," IJERPH, MDPI, vol. 18(4), pages 1-21, February.
    4. Pedro Henrique Ribeiro Santiago & Gustavo Hermes Soares & Lisa Gaye Smithers & Rachel Roberts & Lisa Jamieson, 2022. "Psychological Network of Stress, Coping and Social Support in an Aboriginal Population," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    5. Li, Li & Niu, Zhimin & Griffiths, Mark D. & Wang, Wen & Chang, Chunying & Mei, Songli, 2021. "A network perspective on the relationship between gaming disorder, depression, alexithymia, boredom, and loneliness among a sample of Chinese university students," Technology in Society, Elsevier, vol. 67(C).
    6. M. Marsman & K. Huth & L. J. Waldorp & I. Ntzoufras, 2022. "Objective Bayesian Edge Screening and Structure Selection for Ising Networks," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 47-82, March.
    7. Conte, Federica & Costantini, Giulio & Rinaldi, Luca & Gerosa, Tiziano & Girelli, Luisa, 2020. "Intellect is not that expensive: differential association of cultural and socio-economic factors with crystallized intelligence in a sample of Italian adolescents," Intelligence, Elsevier, vol. 81(C).
    8. Clarice Maria de Lucena Martins & Paulo Felipe Ribeiro Bandeira & Natália Batista Albuquerque Goulart Lemos & Thaynã Alves Bezerra & Cain Craig Truman Clark & Jorge Mota & Michael Joseph Duncan, 2020. "A Network Perspective on the Relationship between Screen Time, Executive Function, and Fundamental Motor Skills among Preschoolers," IJERPH, MDPI, vol. 17(23), pages 1-12, November.
    9. Georgia Mangion & Melanie Simmonds-Buckley & Stephen Kellett & Peter Taylor & Amy Degnan & Charlotte Humphrey & Kate Freshwater & Marisa Poggioli & Cristina Fiorani, 2022. "Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    10. Xiao Yang & Nilam Ram & Scott D. Gest & David M. Lydon-Staley & David E. Conroy & Aaron L. Pincus & Peter C. M. Molenaar, 2018. "Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach," Complexity, Hindawi, vol. 2018, pages 1-14, November.
    11. Frommlet, Florian & Ruhaltinger, Felix & Twaróg, Piotr & Bogdan, Małgorzata, 2012. "Modified versions of Bayesian Information Criterion for genome-wide association studies," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1038-1051.
    12. Zak-Szatkowska, Malgorzata & Bogdan, Malgorzata, 2011. "Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models," Computational Statistics & Data Analysis, Elsevier, vol. 55(11), pages 2908-2924, November.
    13. Gaorong Li & Liugen Xue & Heng Lian, 2012. "SCAD-penalised generalised additive models with non-polynomial dimensionality," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(3), pages 681-697.
    14. Xiaotong Shen & Wei Pan & Yunzhang Zhu & Hui Zhou, 2013. "On constrained and regularized high-dimensional regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(5), pages 807-832, October.
    15. Emre Demirkaya & Yang Feng & Pallavi Basu & Jinchi Lv, 2022. "Large-scale model selection in misspecified generalized linear models [Information theory and an extension of the maximum likelihood principle]," Biometrika, Biometrika Trust, vol. 109(1), pages 123-136.
    16. Shan Luo & Zehua Chen, 2014. "Sequential Lasso Cum EBIC for Feature Selection With Ultra-High Dimensional Feature Space," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1229-1240, September.
    17. Lu Tang & Ling Zhou & Peter X. K. Song, 2019. "Fusion learning algorithm to combine partially heterogeneous Cox models," Computational Statistics, Springer, vol. 34(1), pages 395-414, March.
    18. Lian, Heng & Du, Pang & Li, YuanZhang & Liang, Hua, 2014. "Partially linear structure identification in generalized additive models with NP-dimensionality," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 197-208.
    19. Molly C. Klanderman & Kathryn B. Newhart & Tzahi Y. Cath & Amanda S. Hering, 2020. "Fault isolation for a complex decentralized waste water treatment facility," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 931-951, August.
    20. Tang, Yanlin & Song, Xinyuan & Wang, Huixia Judy & Zhu, Zhongyi, 2013. "Variable selection in high-dimensional quantile varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 122(C), pages 115-132.

    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:18:y:2021:i:8:p:3895-:d:531981. 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.