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Type: Journal article
Title: Income trajectories affect treatment of dental caries from childhood to young adulthood: a birth cohort study
Author: Peres, M.
Liu, P.
Demarco, F.
Silva, A.
Wehrmeister, F.
Menezes, A.
Peres, K.
Citation: Brazilian Oral Research, 2018; 32(-):e36-1-e36-10
Publisher: Sociedade Brasileira de Pesquisa Odontológica; SciELO
Issue Date: 2018
ISSN: 1806-8324
Statement of
Marco Aurelio Peres, Pingzhou Liu, Flavio Fernando Demarco, Alexandre Emidio Ribeiro Silva, Fernando Cesar Wehrmeister, Ana Maria Menezes, Karen Glazer Peres
Abstract: We aimed to analyze the effects of family income trajectories on the increase in dental caries from childhood to young adulthood. Data from the 1993 Pelotas (Brazil) birth cohort study, in which dental caries was measured at ages 6, 12, and 18 years, were analyzed. Family income of 302 participants was assessed at birth, and at 4, 11, 15, and 18 years of age. Mother's education, toothbrushing frequency, dental visiting, dental caries in primary dentition, and birth weight were covariates. A latent class growth analysis was conducted to characterize trajectories of time-varying variables. The influence of income trajectories on the increase in dental caries from age 6 to age 18 was evaluated by a generalized linear mixed model. After adjustment, the increases in numbers of decayed and missing teeth (DMT) from age 6 to age 18 were associated with family income trajectory. The incident rate ratios (IRR) of DMT compared with the group of stable high incomes were 2.36 for stable low incomes, 1.71 for downward, and 1.64 for upward. The IRR of teeth being filled in stable low-income groups compared with stable high-income groups was 0.55. Family income mobility affected treatment patterns of dental caries. Differences across income trajectory groups were found in the components of dental caries indices rather than in the experience of disease.
Keywords: Dental caries; cohort studies; healthcare disparities
Rights: This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: 10.1590/1807-3107bor-2018.vol32.0036
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