Oral health and quality of life of pregnant women: the influence of sociodemographic factors

Karina Tonini dos Santos Pacheco Keiko Oliveira Sakugawa Katrini Guidolini Martinelli Carolina Dutra Degli Esposti Antônio Carlos Pacheco Filho Cléa Adas Saliba Garbin Artenio José Isper Garbin Edson Theodoro Santos NetoAbout the authors

Abstract

This study aimed to evaluate the relationship between sociodemographic factors and the impact on Oral Health-Related Quality of Life (OHR-QoL) in Brazilian pregnant women users of the Unified Health System. This is a cross-sectional epidemiological study developed with pregnant women living in two regions with different sociodemographic characteristics. In total, 1,777 puerperae were interviewed. A structured and previously tested questionnaire collected sociodemographic variables, and the Oral Health Index Profile (OHIP-14) assessed the impact on the OHR-QoL. The statistical analysis was performed using the Chi-square test and multiple logistic regression, both with a significance of 5%. The “psychological discomfort” realm was the only one with a difference between the puerperae of the RMGV and the MRSM (p=0.042). The following variables were associated with the impact on the OHR-QoL: residing in the RMGV (OR=1.69; 95%CI: 1.16-2.47); having a low level of schooling (OR=1.80; 95%CI: 1.03-3.18) and visit to the dentist during pregnancy (OR=2.15, 95%CI: 1.50-3.07). Sociodemographic factors should be considered in the planning of oral health actions of pregnant women, as they influence the impact on the OHR-QoL.

Key words
Maternal and Child Health; Quality of life; Oral Health; Demographic Data

Introduction

Pregnancy is a complex condition involving physical and psychological changes that may impact a woman’s oral health. Studies report the oral health status of pregnant women as considerably lower compared to puerperae and non-pregnant women11 Shah AF, Batra M, Qureshi A. Evaluation of Impact of Pregnancy on Oral Health Status and Oral Health Related Quality of Life among Women of Kashmir Valley. J Clin Diagn Res 2017; 11(5):1-4., and also show the association of periodontal disease with low birth weight and with preterm birth22 Cruz SS, Costa MC, Gomes Filho IS, Vianna MI, Santos CT. Maternal periodontal disease as a factor associated with low birth weight. Rev Saúde Pública 2005; 39(5):782-787.,33 Passini Junior R, Nomura ML, Politano GT. Doença periodontal e complicações obstétricas: há relação de risco? Rev Bras Ginecol Obstet 2007; 29(7):370-375..

In a study with pregnant women users of SUS regarding the prevalence of gingivitis, Bressane et al.44 Bressane LB, Costa LNBS, Vieira JMR, Rebelo MAB. Oral health conditions among pregnantwomen attended to at a health care center in Manaus, Amazonas, Brazil. Rev Odonto Cien 2011; 26 (4):291-296. found that the higher the schooling level and the household income, the lower the prevalence of the disease. Another essential aspect reported by these authors was that most pregnant women (94%) affirmed the need for treatment at the time of the interview. However, none of the women sought dental care during pregnancy.

Some factors described in the literature have been attributed to discouraging the search for dental care during pregnancy, such as popular beliefs (anesthesia risks, hemorrhages, dangers to the baby), lack of awareness of the need for treatment (they often believe that a toothache is associated with the condition of pregnancy) and fear of pain55 Oliveira BH, Nadanovsky P. Psycometric properties of the Brazilian version of the oral health impact profile-short form. Community Dent Oral Epidemiol 2005; 33(4):307-314.,66 Chung LH, Gregorich SE, Armitage GC, Gonzalez-Vargas J, Adams SH. Sociodemographic disparities and behavioral factors in clinical oral health status during pregnancy. Community Dent Oral Epidemiol 2014; 42(2):151-159..

It is known that gestation is a period in which oral health care should be increased and pregnant women become more sensitive to the adoption of new habits and behaviors. Therefore, it is perhaps the most appropriate moment to analyze how she perceives her oral condition77 Moimaz SAS, Zina LG, Serra FAP, Garbin CAS, Saliba NA. Análise da dieta e condição de saúde bucal em pacientes gestantes. Pesq Bras Odontoped Clin Integr 2010; 10(3):357-363..

The evaluation of the effect of diseases and oral conditions on social functions can be of great value to researchers, health managers and providers of oral health services. People’s behavior is linked to the way they perceive their oral condition, by the importance assigned to it, by the intrinsic cultural values and past experiences88 Silva CJP, Ferreira EF, Magnago FM, Alves RG. Percepção de saúde bucal dos usuários do Sistema Único de Saúde do município de Coimbra/Minas Gerais. Rev Fac Odontol 2006; 47(2):23-28.. Even in the more developed countries that provide dental services to their population, such as Australia and England, a large proportion does not attend these services because they have no perception of their need99 Slade GD, Sanders AE. The Paradox of Better Subjective Oral Health in Older Age. J Dent Res 2011; 90(11):1279-1285..

The association between oral health and its impact on the quality of life of the individuals, in general, is much discussed in the literature99 Slade GD, Sanders AE. The Paradox of Better Subjective Oral Health in Older Age. J Dent Res 2011; 90(11):1279-1285.

10 Silva MES, Villaça EL, Magalhães CS, Ferreira EF. Impacto da perda dentária na qualidade de vida. Cien Saude Colet 2010; 15(3):841-850.

11 Alvarenga FAS, Henriques C, Takatsui F, Montandon AFB, Telarolli Júnior R, Monteiro ALCC, Pinelli C, Loffredo LCM. Impacto da saúde bucal na qualidade de vida de pacientes maiores de 50 anos de duas instituições públicas do município de Araraquara-SP, Brasil. Rev Odontol UNESP 2011; 40(3):118-124.

12 Papaioannou W, Oulis CJ, Latsou D, Yfantopoulos J. Oral Health-Related Quality of Life of Greek Adults: A Cross-Sectional Study. Int J Dent 2011; 360292:1-7.
-1313 Guerra MJC, Greco RM, Leite ICG, Ferreira EF, Paula MVQ. Impacto das condições de saúde bucal na qualidade de vida de trabalhadores. Cien Saude Colet 2014; 19(12):4777-4786. and evidences the possibility of self-perception of health being linked to the characteristics of the individuals and the sociodemographic context in which they are inserted1414 Gabardo MCL, Moysés ST, Moysés SJ. Autopercepção de saúde bucal conforme o Perfil de Impacto da Saúde Bucal (OHIP) e fatores associados: revisão sistemática. Rev Panam Salud Pública 2013; 33(6):439-445.. In pregnant women, while few studies have been conducted on this subject, research reports the association between the need for treatment and the impact on Oral Health-Related Quality of Life (OHR-QoL)55 Oliveira BH, Nadanovsky P. Psycometric properties of the Brazilian version of the oral health impact profile-short form. Community Dent Oral Epidemiol 2005; 33(4):307-314.,1515 Acharya S, Bhat PV, Acharya S. Factors affecting oral health-related quality of life among pregnant women. Int J Dent Hygiene 2009; 7(2):102-107.. Also, a study shows that pregnant women with higher schooling level have a lower impact on the OHR-QoL1616 Lamarca GA Leal MC, Leao ATT, Sheiham, Vettore MV. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks. Health Qual. Life Outcomes 2012; 10(5):1-11..

Considering that pregnant women make up one of the priority groups of care and attention in health services in Brazil1717 Brasil. Ministério da Saúde (MS). Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Cadernos de atenção básica: Saúde Bucal. Brasília: MS; 2006. and the world1818 Organização das Nações Unidas (ONU). Declaração do Milênio. Nova Yorque: Cimeira do Milênio; 2000.

19 Fundo das Nações Unidas para a Infância. Situação Mundial da Infância [Internet]. Nova Yorque: Unicef; 2009 [acessado 2018 Ago 15]. Disponível em: https://www.unicef.org/brazil/pt/br_sowc2009_pt.pdf
https://www.unicef.org/brazil/pt/br_sowc...
-2020 World Health Organization (WHO). WHO recommendations: optimizing health worker roles to improve access to key maternal and newborn health interventions through task shifting [Internet]. Genebra: WHO; 2012 [acessado 2018 Ago 15]. Disponível em: http://apps.who.int/iris/bitstream/handle/10665/77764/9789241504843_eng.pdf?sequence =1
http://apps.who.int/iris/bitstream/handl...
, and that good oral health by pregnant women is essential as it may influence the health of the baby33 Passini Junior R, Nomura ML, Politano GT. Doença periodontal e complicações obstétricas: há relação de risco? Rev Bras Ginecol Obstet 2007; 29(7):370-375.,2121 Cruz SS, Costa MCN, Gomes Filho IS, Vianna MIP, Santos CT. Doença periodontal materna como fator associado ao baixo peso ao nascer. Rev Saúde Pública 2005; 39(5):782-787., the study of sociodemographic factors and their influence on the perception of oral conditions is relevant to the planning and implementation of dental services aimed at the prevention and control of oral diseases for this population group, facilitating the development and evaluation of oral health actions.

Thus, this study aimed to evaluate the relationship between sociodemographic factors and the impact on OHR-QoL in Brazilian pregnant women users of the Unified Health System.

Methods

This is a cross-sectional epidemiological study developed with pregnant women living in two regions with particular sociodemographic characteristics, located in the State of Espírito Santo, Brazil, who were hospitalized in public health facilities at childbirth. The data used derive from information collected in two Brazilian surveys entitled “Quality Assessment in Prenatal Care in the Metropolitan Region of Greater Vitória (RMGV): Access and Integration of Health Services”, conducted from April to September 20102222 Santos Neto ET, Oliveira AE, Zandonade E, Leal MC. Acesso à assistência odontológica no acompanhamento pré-natal. Cien Saude Colet 2012; 17(11):3058-3068., and the “Evaluation of Prenatal Care in the São Mateus Microregion (MRSM) - ES”, conducted from July 2012 and February 20132323 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 Obst 2014; 36(2):56-64.. The two surveys were evaluated and approved by the Research Ethics Committee of the Health Sciences Center of UFES.

The RMGV and the MRSM represent two distinct populations, the former being predominantly urban (98%), with the Municipal Human Development Index (MHDI) always above 0.7 (except Viana) in 2010, and the latter, with around a quarter of the population residing in rural areas, with the worst MHDI in the state, always below 0.7 (except São Mateus)2424 Atlas Brasil. Atlas do desenvolvimento humano no Brasil [Internet]. 2013 [acessado 2018 Maio 10]. Disponível em: http://www.atlasbrasil.org.br/2013
http://www.atlasbrasil.org.br/2013...
.

The sample size was calculated using the data provided by the Live Birth Information System (SINASC) of the two regions, and data for the RMGV were of 2007 and the MRSM of 2009, which reflected approximately the number of parturients. Also, considering the differences in the population of live births among the municipalities, the sample’s representativeness was assured by stratification, as per the proportions observed between the municipalities of each initial study.

The following proportions were observed: Cariacica (22.6%), Fundão (1%), Guarapari (6.3%), Serra (26.3%), Viana (3.7%), Vila Velha (22.2%) and Vitória (17.9%) make up the RMGV. The municipalities of Boa Esperança (5.3%), Conceição da Barra (10.1%), Jaguaré (12.4%), Montanha (5.8%), Mucurici (1.6%), Pedro Canário (12%), Pinheiros (12.4%), Ponto Belo (2.6%) and São Mateus (37.8%) make up the MRSM.

A pilot study was conducted with 67 puerperae at the RMGV and 30 puerperae at the MRSM – not included in the main study – before the implementation of the research to improve the completion of research forms and interviewer training. Further details on the origin surveys can be found in studies by Santos-Neto et al.2222 Santos Neto ET, Oliveira AE, Zandonade E, Leal MC. Acesso à assistência odontológica no acompanhamento pré-natal. Cien Saude Colet 2012; 17(11):3058-3068. and Martinelli et al.2323 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 Obst 2014; 36(2):56-64..

In this study, all women hospitalized for delivery were included in one of the 15 public health service establishments in the two regions during the periods mentioned above. The interviewers checked whether pregnant women carried the Pregnant Woman Card and excluded those who did not have such a document, as well as those who performed (total or partial) prenatal care in the private system and who were monitored in municipalities outside the corresponding region. After the signature of the Informed Consent Form (Resolution 466/12), the interviewers applied a structured and closed-ended questionnaire to the mothers. The database was constructed from the information contained in the research forms and the pregnant women’s cards and entered in the SPSS software, version 17.0 (SPSS Inc., Chicago, United States).

Questions regarding OHIP-14 regarding teeth, mouth or denture problems in the last six months of pregnancy were used as per adaptation by Oliveira and Nadanovsky55 Oliveira BH, Nadanovsky P. Psycometric properties of the Brazilian version of the oral health impact profile-short form. Community Dent Oral Epidemiol 2005; 33(4):307-314. to evaluate the impact on the OHR-QoL of pregnant women. Fourteen questions cover the seven conceptual realms described by Locker2525 Locker D. Measuring oral health: a conceptual framework. Community Dent Health 1988; 5(1):3-18., two questions per realm: functional limitation, physical pain, psychological discomfort, physical impairment, psychological impairment, social impairment and disability. Their hierarchy is related to the impact on people’s quality of life and daily living.

The method chosen to verify the oral health impact on the quality of life, through OHIP-14, was simple counting. This method is indicated when one wishes to identify the extent of the problem2626 Slade GD, Nuttall N, Sanders AE, Steele JG, Allen PF, Lahti S. Impacts of oral disorders in the United Kingdom and Australia. Br Dent J 2005; 198(8):489-493.. The presence of an impact is confirmed when the responses of pregnant women to the two questions of at least in one of the seven realms are “frequently” or “always”.

The following sociodemographic variables were selected for the study: age, ethnicity or skin color, schooling, economic class, marital status, paid work, number of prenatal care visits, dental visits during pregnancy, residing in the urban or rural area.

The association between the sociodemographic variables and the variables related to the oral health on the quality of life was evaluated by the chi-square with a Yates adjustment, with a significance level of 5%. A multiple logistic regression analysis was used to describe the relationship between sociodemographic variables and the presence of impact. A p-value < 0.20 was used regarding the input of the variables in the logistic model, and a level of 5% of significance was adopted for the permanence of the variable in the final model.

Results

A total of 1,777 postpartum women participated in the study, of which 1,035 (58.2%) of the RMGV and 742 (41.8%) of the MRSM. The following differences were found when comparing women of these two microregions: RMGV pregnant women are more educated (p = 0.021), while those from the MRSM reside in the rural area (32.6%, p = 0.000) and belong to the lowest economic classes (40.2% belong to economic class D or E, p = 0.001). Regarding access to health services, MRSM pregnant women had more access to prenatal care visits (65.5% had at least seven visits, p = 0.000), and to the dentist (35.3% reported a visit to the dentist, p = 0.015) (Table 1).

Table 1
Association between the sociodemographic variables and the region of residence of pregnant women of the MRSM, 2012/2013, and the RMGV, 2010.

Table 2 shows the association between the realms of impact on the OHR-QoL and the regions studied. All realms evidenced some impact, and the highest frequencies were for “Physical pain” (3% in MRSM and 4.4% in RMGV) and “Psychological discomfort” (2.8% in MRSM and 4.7% in RMGV). Also, the total impact is more significant in the RMGV than in the MRSM.

Table 2
Relationship between the impact on Oral Health-related Quality of Life, as per the OHIP-14 realms, and the region of residence of pregnant women of the MRSM, 2012/2013, and the RMGV, 2010.

The association between the sociodemographic variables and the presence of impact in each study region is shown in Table 3. In the MRSM, there was no statistically significant difference between the sociodemographic variables and the impact. In the RMGV, a statistically significant association was found between the schooling of pregnant women and the impact, and the higher the schooling, the lower the frequency of impact on the OHR-QoL (p = 0.010). Furthermore, the dental visit was also associated with impact (48.4% with impact vs. 28.1% without impact, p = 0.000).

Table 3
Relationship between sociodemographic variables and the impact on the Oral Health-Related Quality of Life of pregnant women living in the MRSM, 2012/2013, and the RMGV, 2010.

When analyzing the entire sample of the study, the variables “region of residence”, “schooling” and “visit to the dentist during pregnancy” remained in the final multiple regression analysis model. Residence in the RMGV increased the likelihood of pregnant women having an impact on the OHR-QoL by about 70%. The lower the schooling of the pregnant woman, the higher the odds of having an impact. Pregnant women who visited the dentist during pregnancy were 115% more likely to have an impact on the OHR-QoL (Table 4).

Table 4
Multiple logistic regression between the sociodemographic variables and the presence of impact, as per the OHIP-14, of pregnant women of the MRSM, 2012/2013, and the RMGV, 2010.

Discussion

Residing in the economically more impoverished region did not necessarily imply an impact on the OHR-QoL. However, having little schooling and visit to the dentist during pregnancy influenced the impact.

Residing in a region with a better economic condition and accounts for 60% of the Gross National Product of the entire State of the studied regions2727 Espírito Santo. Produto Interno Bruto (PIB) dos Municípios do Espírito Santo - 2011 [Internet]. [acessado 2018 Maio 10]. Disponível em: http://www.ijsn.es.gov.br
http://www.ijsn.es.gov.br...
increases the probability of impact on the OHR-QoL during pregnancy. This may be happening due to the social inequalities within the same region, where rich people end up getting much of the wealth produced, generating iniquities. The universal health system contributes to reduction, but, unfortunately, it cannot eliminate it2828 Barata RB. Como e por que as desigualdades sociais fazem mal à saúde. Rio de Janeiro: Editora FIOCRUZ; 2009..

Another factor that can help explain the difference between the microregions is the coverage of the Oral Health Teams (ESB). When analyzing the coverage of the Oral Health Teams (number of registered persons/resident population) using data from the Primary Care Information System (SIAB)2929 Datasus. Sistema de Informação de Atenção Básica (SIAB) [Internet]. Brasília: MS; 2018 [acessado 2018 Maio 10]. Disponível em: http://datasus.saude.gov.br/sistemas-e-aplicativos/epidemiologicos/siab
http://datasus.saude.gov.br/sistemas-e-a...
and data from the Brazilian Institute of Geography and Statistics (IBGE)3030 Instituto Brasileiro de Geografia e Estatística (IBGE) [Internet]. Rio de Janeiro: IBGE; [acessado 2018 Maio 10]. Disponível em: https://www.ibge.gov.br/index.php
https://www.ibge.gov.br/index.php...
, we found a coverage of 23.2% for the RMGV in 2010 and 47.0% for the MRSM in 2012. Given this coverage situation, women in MRSM had a greater possibility of access to dental services before and during pregnancy, thus avoiding possible “oral complications” responsible for the discomfort and, consequently, impacts on the OHR-QoL.

The study by Musskopf et al.3131 Musskopf ML, Milanesi FC, Rocha JM, Fiorini T, Moreira CHC, Susin C, Rösing CK, Weidlich P, Oppermann RV. Oral health related quality of life among pregnant women: a randomized controlled trial. Braz Oral Res 2018; 32: e002. corroborates the findings of our research, that is, pregnant women noticed improvements in their oral health status when they received primary periodontal care during dental treatment. This significantly reduced the adverse effects on OHR-QoL during pregnancy.

Although the number of prenatal consultations did not have a statistically significant influence on the impact on the OHR-QoL, MRSM pregnant women also performed a more significant number of prenatal care visits than those of the RMGV (p = 0.000). This reinforces the relevance of prenatal care, including dentistry, to provide pregnant women with participation in the visits of individual or collective activities, with a multi-professional approach and articulated in the care services. This assures comprehensive care and facilitates humanized and quality prenatal care2222 Santos Neto ET, Oliveira AE, Zandonade E, Leal MC. Acesso à assistência odontológica no acompanhamento pré-natal. Cien Saude Colet 2012; 17(11):3058-3068..

The fact that the region with the best economic condition does not always provide better living conditions and access to health services for its inhabitants is directly linked to the impact on the OHR-QoL. The study by Gabardo et al.3232 Gabardo MCL, Moysés SJ, Moysés ST, Olandoski M, Olinto MTA, Pattussi MP. Social, economic, and behavioral variables associated with oral health-related quality of life among Brazilian adults. Cien Saude Colet 2015; 20(5):1531-1540. conducted with Brazilian adults showed a clear relationship between better living conditions and a more favorable perception of oral health. The perception of quality of life is mostly subjective, and the way in which individuals perceive their quality of life may vary according to their social, cultural and political conditions3333 Turrel G, Sanders A, Slade GD, Spencer AJ, Marcenes W. The independent contribution of neighborhood disadvantage and individual-level socioeconomic position to self-reported oral health: a multilevel analysis. Community Dent Oral Epidemiol 2007; 35(3):195-206..

On the other hand, the dental consultation during pregnancy appears in the logistic regression analysis as a factor that increased the likelihood of pregnant women to have an impact on the OHR-QoL. The studies by Oliveira and Nadanovsky55 Oliveira BH, Nadanovsky P. Psycometric properties of the Brazilian version of the oral health impact profile-short form. Community Dent Oral Epidemiol 2005; 33(4):307-314., Acharya et al.1515 Acharya S, Bhat PV, Acharya S. Factors affecting oral health-related quality of life among pregnant women. Int J Dent Hygiene 2009; 7(2):102-107. and Moimaz et al.3434 Moimaz SAS, Rocha NB, Garbin AJI, Garbin CAS, Saliba O. Influence of oral health on quality of life in pregnant women. Acta Odontol Latinoam 2016; 29(2):186-193., also with pregnant women, found an association between the need for treatment and the impact on the OHR-QoL. A positive evaluation was observed for the sample of this study, since visiting the dentist was related to the presence of an impact.

In this study, more educated women were less likely to have an impact. Lamarca et al.1616 Lamarca GA Leal MC, Leao ATT, Sheiham, Vettore MV. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks. Health Qual. Life Outcomes 2012; 10(5):1-11. evaluated the impact on the OHR-QoL of pregnant and puerperae, focusing on their occupation. Women who worked outside their homes had higher schooling and household income compared to housewives and had a lower impact on the OHR-QoL. The higher the education level, the higher their information, awareness and search for dental services3535 Mesquita FAB, Vieira S. Impacto da condição autoavaliada de saúde bucal na qualidade de vida. RGO 2009; 57(4):401-406..

Papaioannou et al.1212 Papaioannou W, Oulis CJ, Latsou D, Yfantopoulos J. Oral Health-Related Quality of Life of Greek Adults: A Cross-Sectional Study. Int J Dent 2011; 360292:1-7. investigated the impact on OHR-QoL in adults from different sociodemographic regions of Greece using OHIP-14. No statistically significant differences were found between rural and urban regions, but, the impact on the OHIP-14 total score and the social impairment and disability realms decreased with increased schooling. Thus, schooling appears in the literature with a positive impact on individuals’ quality of life3232 Gabardo MCL, Moysés SJ, Moysés ST, Olandoski M, Olinto MTA, Pattussi MP. Social, economic, and behavioral variables associated with oral health-related quality of life among Brazilian adults. Cien Saude Colet 2015; 20(5):1531-1540..

The limitation of this research is the lack of aggregation of clinical variables in the analysis. According to Bandéca et al.3636 Bandéca MC, Nadalin MR, Calixto LR, Saad JR, Silva SR. Correlation between oral health perception and clinical factors in a Brazilian community. Community Dent Health 2011; 28(1):64-68., the clinical characteristics can directly influence the perception of oral health and, consequently, the quality of life, regardless of sociodemographic variables. However, defining the need for a population using subjective indicators is an essential step in health policy planning, as it assists health professionals in formulating health programs and services3434 Moimaz SAS, Rocha NB, Garbin AJI, Garbin CAS, Saliba O. Influence of oral health on quality of life in pregnant women. Acta Odontol Latinoam 2016; 29(2):186-193..

Our findings are innovative in the area of oral health because they showed the influence of access to dental services on the impact on the OHR-QoL and reinforced how the nature of social conditions affected the health and quality of life of pregnant women, making them even more vulnerable.

Therefore, the prioritization of dental care of pregnant women, with more significant impacts on the OHR-QoL, seems to be an equitable way to plan the actions and health programs for this group, that is, this risk group should be prioritized in the health services, in order to treat and recover oral health. Our findings may provide new directions for policymakers and public health managers with a focus on improving women’s quality of life and developing more specific strategies to reduce oral health problems during pregnancy.

Conclusion

Given the results found in this study, we can conclude that sociodemographic factors can influence the impact on Oral Health-Related Quality of Life. This influence can be positive or negative and its analysis contributes to a better understanding of the health-disease process since it transcends the biomedical curative vision, insufficient to ensure the maintenance of health.

The results may help in the design of more specific social-political strategies to reduce oral health problems in pregnant women and probably in other groups with similar sociodemographic characteristics.

References

  • 1
    Shah AF, Batra M, Qureshi A. Evaluation of Impact of Pregnancy on Oral Health Status and Oral Health Related Quality of Life among Women of Kashmir Valley. J Clin Diagn Res 2017; 11(5):1-4.
  • 2
    Cruz SS, Costa MC, Gomes Filho IS, Vianna MI, Santos CT. Maternal periodontal disease as a factor associated with low birth weight. Rev Saúde Pública 2005; 39(5):782-787.
  • 3
    Passini Junior R, Nomura ML, Politano GT. Doença periodontal e complicações obstétricas: há relação de risco? Rev Bras Ginecol Obstet 2007; 29(7):370-375.
  • 4
    Bressane LB, Costa LNBS, Vieira JMR, Rebelo MAB. Oral health conditions among pregnantwomen attended to at a health care center in Manaus, Amazonas, Brazil. Rev Odonto Cien 2011; 26 (4):291-296.
  • 5
    Oliveira BH, Nadanovsky P. Psycometric properties of the Brazilian version of the oral health impact profile-short form. Community Dent Oral Epidemiol 2005; 33(4):307-314.
  • 6
    Chung LH, Gregorich SE, Armitage GC, Gonzalez-Vargas J, Adams SH. Sociodemographic disparities and behavioral factors in clinical oral health status during pregnancy. Community Dent Oral Epidemiol 2014; 42(2):151-159.
  • 7
    Moimaz SAS, Zina LG, Serra FAP, Garbin CAS, Saliba NA. Análise da dieta e condição de saúde bucal em pacientes gestantes. Pesq Bras Odontoped Clin Integr 2010; 10(3):357-363.
  • 8
    Silva CJP, Ferreira EF, Magnago FM, Alves RG. Percepção de saúde bucal dos usuários do Sistema Único de Saúde do município de Coimbra/Minas Gerais. Rev Fac Odontol 2006; 47(2):23-28.
  • 9
    Slade GD, Sanders AE. The Paradox of Better Subjective Oral Health in Older Age. J Dent Res 2011; 90(11):1279-1285.
  • 10
    Silva MES, Villaça EL, Magalhães CS, Ferreira EF. Impacto da perda dentária na qualidade de vida. Cien Saude Colet 2010; 15(3):841-850.
  • 11
    Alvarenga FAS, Henriques C, Takatsui F, Montandon AFB, Telarolli Júnior R, Monteiro ALCC, Pinelli C, Loffredo LCM. Impacto da saúde bucal na qualidade de vida de pacientes maiores de 50 anos de duas instituições públicas do município de Araraquara-SP, Brasil. Rev Odontol UNESP 2011; 40(3):118-124.
  • 12
    Papaioannou W, Oulis CJ, Latsou D, Yfantopoulos J. Oral Health-Related Quality of Life of Greek Adults: A Cross-Sectional Study. Int J Dent 2011; 360292:1-7.
  • 13
    Guerra MJC, Greco RM, Leite ICG, Ferreira EF, Paula MVQ. Impacto das condições de saúde bucal na qualidade de vida de trabalhadores. Cien Saude Colet 2014; 19(12):4777-4786.
  • 14
    Gabardo MCL, Moysés ST, Moysés SJ. Autopercepção de saúde bucal conforme o Perfil de Impacto da Saúde Bucal (OHIP) e fatores associados: revisão sistemática. Rev Panam Salud Pública 2013; 33(6):439-445.
  • 15
    Acharya S, Bhat PV, Acharya S. Factors affecting oral health-related quality of life among pregnant women. Int J Dent Hygiene 2009; 7(2):102-107.
  • 16
    Lamarca GA Leal MC, Leao ATT, Sheiham, Vettore MV. Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks. Health Qual. Life Outcomes 2012; 10(5):1-11.
  • 17
    Brasil. Ministério da Saúde (MS). Secretaria de Atenção à Saúde. Departamento de Atenção Básica. Cadernos de atenção básica: Saúde Bucal Brasília: MS; 2006.
  • 18
    Organização das Nações Unidas (ONU). Declaração do Milênio Nova Yorque: Cimeira do Milênio; 2000.
  • 19
    Fundo das Nações Unidas para a Infância. Situação Mundial da Infância [Internet]. Nova Yorque: Unicef; 2009 [acessado 2018 Ago 15]. Disponível em: https://www.unicef.org/brazil/pt/br_sowc2009_pt.pdf
    » https://www.unicef.org/brazil/pt/br_sowc2009_pt.pdf
  • 20
    World Health Organization (WHO). WHO recommendations: optimizing health worker roles to improve access to key maternal and newborn health interventions through task shifting [Internet]. Genebra: WHO; 2012 [acessado 2018 Ago 15]. Disponível em: http://apps.who.int/iris/bitstream/handle/10665/77764/9789241504843_eng.pdf?sequence =1
    » http://apps.who.int/iris/bitstream/handle/10665/77764/9789241504843_eng.pdf?sequence =1
  • 21
    Cruz SS, Costa MCN, Gomes Filho IS, Vianna MIP, Santos CT. Doença periodontal materna como fator associado ao baixo peso ao nascer. Rev Saúde Pública 2005; 39(5):782-787.
  • 22
    Santos Neto ET, Oliveira AE, Zandonade E, Leal MC. Acesso à assistência odontológica no acompanhamento pré-natal. Cien Saude Colet 2012; 17(11):3058-3068.
  • 23
    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 Obst 2014; 36(2):56-64.
  • 24
    Atlas Brasil. Atlas do desenvolvimento humano no Brasil [Internet]. 2013 [acessado 2018 Maio 10]. Disponível em: http://www.atlasbrasil.org.br/2013
    » http://www.atlasbrasil.org.br/2013
  • 25
    Locker D. Measuring oral health: a conceptual framework. Community Dent Health 1988; 5(1):3-18.
  • 26
    Slade GD, Nuttall N, Sanders AE, Steele JG, Allen PF, Lahti S. Impacts of oral disorders in the United Kingdom and Australia. Br Dent J 2005; 198(8):489-493.
  • 27
    Espírito Santo. Produto Interno Bruto (PIB) dos Municípios do Espírito Santo - 2011 [Internet]. [acessado 2018 Maio 10]. Disponível em: http://www.ijsn.es.gov.br
    » http://www.ijsn.es.gov.br
  • 28
    Barata RB. Como e por que as desigualdades sociais fazem mal à saúde Rio de Janeiro: Editora FIOCRUZ; 2009.
  • 29
    Datasus. Sistema de Informação de Atenção Básica (SIAB) [Internet]. Brasília: MS; 2018 [acessado 2018 Maio 10]. Disponível em: http://datasus.saude.gov.br/sistemas-e-aplicativos/epidemiologicos/siab
    » http://datasus.saude.gov.br/sistemas-e-aplicativos/epidemiologicos/siab
  • 30
    Instituto Brasileiro de Geografia e Estatística (IBGE) [Internet]. Rio de Janeiro: IBGE; [acessado 2018 Maio 10]. Disponível em: https://www.ibge.gov.br/index.php
    » https://www.ibge.gov.br/index.php
  • 31
    Musskopf ML, Milanesi FC, Rocha JM, Fiorini T, Moreira CHC, Susin C, Rösing CK, Weidlich P, Oppermann RV. Oral health related quality of life among pregnant women: a randomized controlled trial. Braz Oral Res 2018; 32: e002.
  • 32
    Gabardo MCL, Moysés SJ, Moysés ST, Olandoski M, Olinto MTA, Pattussi MP. Social, economic, and behavioral variables associated with oral health-related quality of life among Brazilian adults. Cien Saude Colet 2015; 20(5):1531-1540.
  • 33
    Turrel G, Sanders A, Slade GD, Spencer AJ, Marcenes W. The independent contribution of neighborhood disadvantage and individual-level socioeconomic position to self-reported oral health: a multilevel analysis. Community Dent Oral Epidemiol 2007; 35(3):195-206.
  • 34
    Moimaz SAS, Rocha NB, Garbin AJI, Garbin CAS, Saliba O. Influence of oral health on quality of life in pregnant women. Acta Odontol Latinoam 2016; 29(2):186-193.
  • 35
    Mesquita FAB, Vieira S. Impacto da condição autoavaliada de saúde bucal na qualidade de vida. RGO 2009; 57(4):401-406.
  • 36
    Bandéca MC, Nadalin MR, Calixto LR, Saad JR, Silva SR. Correlation between oral health perception and clinical factors in a Brazilian community. Community Dent Health 2011; 28(1):64-68.

Publication Dates

  • Publication in this collection
    03 June 2020
  • Date of issue
    June 2020

History

  • Received
    24 May 2018
  • Accepted
    20 Sept 2018
  • Published
    22 Sept 2018
ABRASCO - Associação Brasileira de Saúde Coletiva Rio de Janeiro - RJ - Brazil
E-mail: revscol@fiocruz.br