Human Development Index, Ratio of Dentists and Inhabitants, and the Decayed, Missing or Filled Teeth Index in Large Cities

Pereira, Fábio Augusto de Oliveira; Mendonça, Iranilda A de; Werneck, Renata Iani; Moysés, Simone Tetü; Gabardo, Marilisa Carneiro Leão; Moysés, Samuel Jorge

doi:10.5005/jp-journals-10024-2433

Cited by 7 publications

(5 citation statements)

References 20 publications

(21 reference statements)

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“…Districts with lower CHDI influenced the possibility of having poorer caries indicators. This association was less robust in our study than in other reports by other Latin-American authors [35][36][37]. However, a limitation of our study is that data for CHDI is dated 2003.…”

Section: Candy Consumptioncontrasting

confidence: 92%

Structural determinants explain caries differences among preschool children in Chile’s Metropolitan Region

et al. 2023

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Objective To estimate the association between Social Determinants of Health (structural and intermediate) and caries indicators in Chile's Metropolitan Region preschool children. Methods A multilevel cross-sectional study of Social Determinants of Health (SDH) and caries in children aged 1 to 6 years in Chile's Metropolitan Region was conducted in 2014–2015, with three levels: district, school and child. Caries were assessed by the dmft-index and the prevalence of untreated caries. The structural determinants analyzed were Community Human Development Index (CHDI), urban/rural location, school type, caregiver's education and family income. Poisson multilevel regression models were fit. Results The sample size was 2,275 children from 40 schools in 13 districts. While the highest CHDI district had an untreated caries prevalence of 17.1% (12.3–22.7%), in the most disadvantaged district it was 53.9% (95% CI 46.0–61.6%). As family income increased, the probability of untreated caries prevalence decreased (PR = 0.9 95% CI 0.8–1.0). Rural districts had an average dmft-index of 7.3 (95% CI 7.2–7.4), while in urban districts, it was 4.4 (95% CI 4.3–4.5). Higher probabilities of untreated caries prevalence (PR = 3.0 95% CI 2.3–3.9) were observed in rural children. Greater probabilities of untreated caries prevalence (PR = 1.3 95% CI 1.1–1.6) and prevalence of caries experience (PR = 1.3 95% CI 1.1–1.5) were observed in children whose caregivers had a secondary educational level. Conclusions A strong association was observed between the social determinants of health, specifically the structural ones, and the caries indicators studied in children of the Metropolitan Region of Chile. There were notable differences in caries between districts according to social advantage. Rurality and caregiver's education were the most consistent predictors.

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Section: Candy Consumptioncontrasting

confidence: 92%

Structural determinants explain caries differences among preschool children in Chile’s Metropolitan Region

et al. 2023

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“…For example, Pereira et al . ( 25 ) observed associations between the prevalence of dental caries in children aged 12 years and municipal HDI of Brazilian state capitals.…”

Section: Discussionmentioning

confidence: 99%

Influence of sociodemographic factors and Family Health Strategy coverage on oral health promotion procedures: an analysis of Brazilian municipalities in 2019

Paredes¹,

Lucena²,

Abreu³

et al. 2023

J Clin Exp Dent

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Background The aim of the study was to investigate associations between sociodemographic factors and municipal Family Health Strategy (FHS) coverage and oral health promotion (OHP) procedures in Brazil. Material and Methods Data were obtained using public information systems and by direct request to the Ministry of Health. Clinical and collective OHP procedures performed in 2019 were analyzed, and sociodemographic covariates were associated with FHS coverage (population covered by FHS teams [FHST] and oral health teams [OHT]). Negative binomial regression models associated outcomes with covariates and estimated the prevalence ratio (PR) and confidence intervals (95%CI). Results A total of 4,913 municipalities were included. Municipalities with low-income inequality (PR=1.04, 95%CI 1.01 to 1.08), high illiteracy rate (RP=1.06, 95%CI 1.00 to 1.13), and population size of 10,001 to 50,000 inhabitants (PR=1.07, 95%CI 1.02 to 1.12) and 50,001 to 100,000 (PR=1.21, 95%CI 1.12 to 1.30) showed a higher frequency of clinical procedures. In contrast, a low frequency of clinical procedures was associated with reduced vulnerability to poverty (PR=0.83, 95%CI 0.78 to 0.89) and low OHT coverage (PR=0.39, 95%CI 0.33 to 0.45). Regarding collective procedures, the final model showed associations between low frequency and reduced income inequality (PR=0.91, 95%CI 0.87 to 0.95), low per capita income (PR=0.84, 95%CI 0.81 to 0.88), and low (PR=0.53, 95%CI 0.35 to 0.80) and medium Human Development Index (PR=0.79, 95%CI 0.71 to 87). Conclusions Clinical and collective OHP procedures were associated with sociodemographic conditions and OHT coverage in the FHS. Key words: Health Promotion, Oral Health, Social Determinants of Health, Universal Health Coverage.

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“…The human development index (HDI) is a social indicator associated with dental services ( 32 ). The HDI is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and having a decent standard of living.…”

Section: Methodsmentioning

confidence: 99%

Effect of the COVID-19 Mitigation Measure on Dental Care Needs in 17 Countries: A Regression Discontinuity Analysis

et al. 2022

Front. Public Health

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ObjectivesThe effect of COVID-19 mitigation measures on different oral health care needs is unclear. This study aimed to estimate the effect of COVID-19 mitigation measures on different types of oral health care utilization needs and explore the heterogeneity of such effects in different countries by using real-time Internet search data.MethodsData were obtained from Google Trends and other public databases. The monthly relative search volume (RSV) of the search topics “toothache,” “gingivitis,” “dentures,” “orthodontics,” and “mouth ulcer” from January 2004 to June 2021 was collected for analysis. The RSV value of each topics before and after COVID-19 was the primary outcome, which was estimated by regression discontinuity analysis (RD). The effect bandwidth time after the COVID-19 outbreak was estimated by the data-driven optimal mean square error bandwidth method. Effect heterogeneity of COVID-19 on dental care was also evaluated in different dental care categories and in countries with different human development index (HDI) rankings, dentist densities, and population age structures.ResultsA total of 17,850 monthly RSV from 17 countries were used for analysis. The RD results indicated that advanced dental care was significantly decreased (OR: 0.63, 95% CI: 0.47–0.85) after the COVID-19 outbreak, while emergency dental care toothache was significantly increased (OR: 1.54, 95% CI: 0.99–2.37) 4 months after the COVID-19 outbreak. Compared to the countries with low HDI and low dentist density, the effect was much more evident in countries with high HDI and high dentist density.ConclusionsCOVID-19 mitigation measures have different effects on people with various dental care needs worldwide. Dental care services should be defined into essential care and advanced care according to specific socioeconomic status in different countries. Targeted health strategies should be conducted to satisfy different dental care needs in countries.

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Human Development Index, Ratio of Dentists and Inhabitants, and the Decayed, Missing or Filled Teeth Index in Large Cities

Cited by 7 publications

References 20 publications

Structural determinants explain caries differences among preschool children in Chile’s Metropolitan Region

Structural determinants explain caries differences among preschool children in Chile’s Metropolitan Region

Influence of sociodemographic factors and Family Health Strategy coverage on oral health promotion procedures: an analysis of Brazilian municipalities in 2019

Effect of the COVID-19 Mitigation Measure on Dental Care Needs in 17 Countries: A Regression Discontinuity Analysis

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