Marilia Jesus Batista

Prof. Dr. Marilia Jesus Batista


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 July 2017 in BMC Public Health
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MBMarilia Jesus Batista
Marilia Jesus Batista
HLHerenia Lawrence
Herenia Lawrence
MSMaria Da Luz Rosário Sousa
Maria Da Luz Rosário Sousa
To investigate the association between critical and communicative oral health literacy (OHL) and oral health outcomes (status, oral health-related quality of life and practices) in adults. This cross-sectional study examined a household probability sample of 248 adults, representing 149,635 residents (20–64 years old) in Piracicaba-SP, Brazil. Clinical oral health and socioeconomic and demographic data, as well as data on oral health-related quality of life (OHIP-14) and health practices were collected. The oral examinations were carried out in the participants’ homes, using the World Health Organization criteria for oral diseases. The critical and communicative OHL instrument was the primary independent variable, and it was measured using five Likert items that were dichotomized as ‘high’ (‘agree’ and ‘strongly agree’ responses for the 5 items) and ‘low’ OHL. Binary and multinomial logistic regressions were performed on each outcome (oral health status and practices), controlling for age, sex and socioeconomic status (SES). Approximately 71.5% presented low OHL. When adjusted for age and sex (first model) low OHL was associated with untreated caries (Odds Ratio = 1.92, 95% Confidence Interval = 1.07–3.45), tooth brushing <3 times a day (OR = 2.00, 1.11–3.62) and irregular tooth flossing (OR = 2.17, 1.24–3.80). After SES inclusion in the first model, significant associations were found for low OHL when the outcomes were: presence of biofilm (OR = 1.83, 1.08–3.33), dental care for emergency only (OR = 2.24, 1.24–4.04) and prevalence of oral health impact on quality of life (OR = 2.06, 1.15–3.69). Adjusting for age, sex and SES, OHL is related to a risk factor (biofilm) and a consequence of poor oral health (emergency dental visits) and can interfere with the impact of oral diseases on quality of life. As low OHL can be modified, the results support oral health promotion strategies directed at improving critical and communicative oral health literacy in adult populations.

30 November 2014 in Health and Quality of Life Outcomes
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MBMarilia Jesus Batista
Marilia Jesus Batista
HLHerenia Lawrence
Herenia Lawrence
MSMaria Da Luz Rosário Sousa
Maria Da Luz Rosário Sousa
The objective of this study was to evaluate the impact of tooth loss on oral health-related quality of life (OHRQoL) in adults with emphasis on the number of teeth lost and their relative position in the mouth. The study population was a cross-sectional household probability sample of 248, representing 149,635 20–64 year-old residents in Piracicaba-SP, Brazil. OHRQoL was measured using the OHIP-14. Socioeconomic, demographic, health literacy, dental services use data and clinical variables were collected. Oral examinations were performed using WHO criteria for caries diagnosis, using the DMFT index; that is, the sum of decayed, missing and filled teeth (DMFT). An ordinal scale for tooth loss, based on position and number of missing teeth, was the main explanatory variable. The total OHIP score was the outcome for negative binomial regression and OHIP prevalence was the outcome for logistic regression at 5% level. A hierarchical modeling approach was adopted according to conceptual model. OHIP score was 10.21 (SE 1.16) with 48.1% (n=115) reporting one or more impacts fairly/very often (OHIP prevalence). Significant prevalence rate ratios (PRRs) for OHIP severity were observed for those who had lost up to 12 teeth, including one or more anterior teeth (PRR=1.63, 95%CI 1.06–2.51), those who had lost 13–31 teeth (PRR=2.33, 95%CI 1.49–3.63), and the edentulous (PRR=2.66, 95%CI 1.55–4.57) compared with fully dentate adults. Other significant indicators included those who only sought dental care because of dental pain (PRR=1.67, 95%CI 1.11–2.51) or dental needs (PRR=1.84, 95%CI 1.24–2.71) and having untreated caries (PRR=1.57 95%CI 1.09–2.26). Tooth loss was not significantly associated with OHIP prevalence; instead using dental services due to dental pain (PR=2.43, 95%CI 1.01–5.82), having untreated caries (PR=3.96, 95%CI 1.85–8.51) and low income (PR=2.80, 95%CI 1.26–6.42) were significant risk indicators for reporting OHIP prevalence. Our analyses showed OHRQoL gradients consistent with the number and position of teeth missing due to oral disease. These findings suggest that the quantity of teeth lost does not necessarily reflect the impact of tooth mortality on OHRQoL and that future studies should take this into consideration.

30 August 2017 in Health and Quality of Life Outcomes
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ICInara Pereira da Cunha
Inara Pereira da Cunha
APAntonio Carlos Pereira
Antonio Carlos Pereira
AFAntônio Carlos Frias
Antônio Carlos Frias
VVVladen Vieira
Vladen Vieira
MMMarcelo de Castro Meneghim
Marcelo de Castro Meneghim
JBJaqueline Vilela Bulgareli
Jaqueline Vilela Bulgareli
Oral disorders may negatively affect the quality of life (QoL) of adolescents. To investigate how social vulnerability and oral-health status factors affect QoL in 15–19 years olds who participated in the “SB São Paulo 2015” state survey. The relationship of several independent variables, namely Paulista Social Vulnerability Index (PSVI) score, gender, skin color, family income, age, untreated caries, tooth loss [determined by the Decayed, Missing, Filled-Teeth (DMF-T) index], toothache, periodontal condition [determined by the Community Periodontal Index (CPI)], and malocclusion (maxillary overjet, cross bite, or open bite) affect daily life, measured by the Oral Impacts on Daily Performance (OIDP) instrument. Logistic regression analyses were carried out based on a hierarchical model. The final sample consisted of 5402 adolescents. The prevalence of at least one negative impact of oral health on QoL was 37.3%. After adjustment, demographic factors that were found to influence this impact significantly (p < 0.01) were female gender [odds ratio (OR) 1.78, 95% confidence interval (CI) = 1.59–2.0], non-white skin color (OR 1.66, 95% CI = 1.47–1.88), and a low family income (OR 1.28, 95% CI = 1.28–1.29). Additionally, oral conditions associated with oral health impact on QoL included the presence of at least one untreated tooth decay lesion (OR 1.42, 95% CI = 1.25–1.61), loss of at least one tooth (OR 1.49; 95% CI = 1.25–1.78), toothache (OR 4.87, 95% CI = 4.25–5.59), bleeding on probing (OR 1.45, 95% CI = 1.25–1.68), and severe maxillary overjet (OR 1.68, 95% CI = 1.15–2.45). Social vulnerability (PSVI score) was not associated with the OIDP score, but oral health conditions and socio-demographic variables, including gender, skin color, and income, were found to affect adolescents’ daily activities. Strategies that consider the perceptions of this segment of the population should be implemented to strengthen their autonomy and totality of care.

26 August 2014 in Brazilian Oral Research
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MBMarilia Jesus Batista
Marilia Jesus Batista
LPLílian Berta Rihs Perianes
Lílian Berta Rihs Perianes
JHJuliana Balbinot Hilgert
Juliana Balbinot Hilgert
FHFernando Neves Hugo
Fernando Neves Hugo
MSMaria da Luz Rosário de Sousa
Maria da Luz Rosário de Sousa
This study investigated the impacts of oral health-related quality of life (OHRQoL) on daily activities and work productivity in adults. A cross-sectional study was conducted in a supermarket chain in the state of São Paulo, which included 386 workers, age-range 20 – 64 years. Participants were examined for oral disease following WHO recommendations, and the oral health impact profile (OHIP) assessment was used to determine OHRQoL. Demographic, socio-economic, use of dental services, and OHRQoL data were obtained. Answers to the OHIP were dichotomized into no impact and some impact, and the relationship to OHRQoL was determined. Poisson regression with robust variance was performed using SPSS version 17.0. Dimensions with highest OHIP scores were physical pain and psychological discomfort. Sex (male: PR = 0.55, 95% CI 0.38 – 0.80), lower family income (PR = 1.49, 95% CI 1.04 – 2.12), visiting a dentist due to pain (PR = 2.14, 95% CI 1.57 – 3.43), tooth loss (PR = 1.59, 95% CI 1.09 – 2.32), and needing treatment for caries (PR = 1.59, 95% CI 1.09 – 2.32) were most likely to impact OHRQoL. Therefore, socioeconomic and demographic status and use of dental services impacted OHRQoL. These results indicate that oral health promotion strategies should be included in work environments.

1 July 2020 in Ciencia & Saude Coletiva
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MBMarilia Jesus Batista
Marilia Jesus Batista
AMAna Carolina de Paula Marques
Ana Carolina de Paula Marques
MJManoelito Ferreira Silva Junior
Manoelito Ferreira Silva Junior
GAGizelton Pereira Alencar
Gizelton Pereira Alencar
MSMaria Da Luz Rosário Sousa
Maria Da Luz Rosário Sousa
Resumo Foram avaliadas as propriedades psicométricas da versão brasileira do 14-item Health Literacy Scale (HLS-14). No estudo metodológico com delineamento transversal realizou-se tradução, adaptação transcultural e avaliação das propriedades psicométricas. Depois de passar por comitê de especialistas, traduzido e adaptado, o instrumento foi pré-testado em 52 adultos, e aplicado em 143 adultos e idosos de Piracicaba-SP. A consistência interna foi avaliada através do coeficiente de correlação de Kendall e α de Cronbach (>0,70) e a análise fatorial confirmatória (AFC) por meio do teste de qui-quadrado, raiz quadrada média residual padronizada (SRMR), raiz da média dos quadrados dos erros de aproximação (RMSEA) (0,95) e índice de Tucker-Lewis (TLI) (>0,95). A equivalência operacional apresentou concordância entre as questões, com exceção das questões 6, 8, 9 e 14. O coeficiente α de Cronbach foi 0,82. Houve ajuste razoável na AFC, CFI=0,886, TLI=0,86, RMSEA=0,085 (IC90%: 0,065-0,105), SRMR=0,071, qui-quadrado (74 graus de liberdade) =149,510, p<0,001. A exclusão da questão 5 elevou os índices de ajuste a níveis satisfatórios. A versão brasileira do HLS-14 foi considerada válida para mensurar literacia em saúde.

30 November 2020 in Health Promotion International
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MSManoelito Ferreira Silva-Junior
Manoelito Ferreira Silva-Junior
MSMaria da Luz Rosário de Sousa
Maria da Luz Rosário de Sousa
MBMarilia Jesus Batista
Marilia Jesus Batista
The objective of this study was to investigate the impact of health literacy (HL) on health practices and oral health outcomes in an adult and elderly population in Brazil. A cross-sectional study nested in a cohort study was followed up over a period of four years (2011 and 2015) and assessed individuals between 23 and 69 years old from Piracicaba, São Paulo, Brazil. Data were collected by means of oral examinations (coronal caries, periodontal disease and visible biofilm) and interviews (socioeconomic, demographic, oral health-related quality of life, health practices and HL). The 14-item Health Literacy Scale (HLS) was used for HL data, which was the main explanatory variable. The result of the sum of the HLS-14 questionnaire for each participant was dichotomized into the median (46 points): ‘high’ and ‘low’ HL. Binary/multinomial logistic regressions were performed on health practice and oral health outcomes, controlled by age and sex (Model 1) and age, sex and socioeconomic status (Model 2; p < 0.05). The final sample consisted of 137 subjects and 43.8% (n = 60) presented low HL (LHL). LHL was associated with health practices, such as use of public dental services in Model 1 (odds ratio [OR] = 0.34, 95% CI: 0.14–0.87) and use of dental services for emergency in Model 1 (OR = 2.69, 95% CI: 1.29–5.51) and Model 2 (OR = 2.93, 95% CI: 1.17–7.30). Based on age and sex, LHL was associated with use of public dental service and use of emergency dental visits. Based on age, sex and socioeconomic status, LHL was associated with use of emergency dental visits.