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

Author

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  • 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
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    References listed on IDEAS

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    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.
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    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.

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