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1.
Oral Health Prev Dent ; 20(1): 385-392, 2022 Oct 19.
Artículo en Inglés | MEDLINE | ID: mdl-36259442

RESUMEN

PURPOSE: To explore the relationship between of self-reported health (SRH) and educational attainment with pastyear dental visits in older adults in México. MATERIALS AND METHODS: For this cross-sectional study, data were derived from the Mexican Health and Aging Study 2018 (MHAS-2018), which used a nationally-representative sample of older adults (50 years or older) in Mexico (n = 14,085). Variables taken from the MHAS questionnaire included residence (rural/urban), years of education, SRH, multimorbidity, pain severity, and past-year dental visits. A logistic regression model was used to identify the association between the variables and past-year dental visits. RESULTS: While the percentage of past-year dental visits reported was 39.8%, this number declined with age [OR=0.76, p < 0.001], with older adults living in rural areas 34% less likely to report past-year dental visits than older adults living in urban areas. Older adults with no formal education were 73% less likely (OR=0.27; p < 0.001) to report past-year dental visits than older adults ≥10 years education. Older adults with poor SRH were 32% less likely (OR=0.68; p < 0.001) to report past-year dental visits than older adults with good/very good/excellent SRH. Sex, degree of multimorbidity, and pain level ([OR=1.37; p < 0.001] [OR=1.37; p < 0.001] and [OR=1.17; p < 0.001]) were all found to be positively associated with past-year dental visits in the study population. CONCLUSION: The present study highlights the association between poor SRH, a low level of educational attainment, and less frequent past-year dental visits, as well as the finding that past-year dental visits declined with age in the older adults sampled.


Asunto(s)
Envejecimiento , Servicios de Salud Dental , Anciano , Humanos , Estudios Transversales , Escolaridad , México/epidemiología , Autoinforme
2.
Medicine (Baltimore) ; 100(25): e26435, 2021 06 25.
Artículo en Inglés | MEDLINE | ID: mdl-34160434

RESUMEN

ABSTRACT: The aim of this study was to evaluate the association between sociodemographic factors and noncavitated and cavitated caries lesions in Mexican schoolchildren.This cross-sectional study was conducted in 2020 on 8-to-12-year-old schoolchildren of different socioeconomic status (SES). The caries was evaluated using ICDAS II, SES was evaluated using three categories---a high, middle, or low-income level---of the CONAPO. Multinomial logistic regression analyses were performed in order to ascertain the associations between socioeconomic factors and noncavitated and cavitated caries lesions.The prevalence of noncavitated lesions was 38.0% and cavitated lesions was 43.4% in permanent dentition. In all the samples, 50.6% of schoolchildren had poor oral hygiene. About 52.5% of the mothers and 64.7% of the fathers had less than 9 years of education. Schoolchildren with a low-income level have more cavitated lesions (ICDAS II 4-6) than schoolchildren with high-income level (56.3% vs 15.8%, P = .009). The multinomial logistic regression models showed that mother's level of education <9 years and low-income level were significantly associated with cavitated caries lesions (ICDAS II 4-6), [odds ratio = 1.79 (1.17 - 2.75); P = .007], [OR = 2.21 (1.23 - 3.97); P = .008], respectively. The socioeconomic level was not associated with noncavitated caries lesions (ICDAS II 1-3).An association was found between the presence of cavitated caries lesions and the subject's mother's level of education and a low-income level. Socioeconomic factors were found to be associated with inequalities in caries distribution in the age group studied.


Asunto(s)
Caries Dental/epidemiología , Exposición de la Pulpa Dental/epidemiología , Niño , Estudios Transversales , Caries Dental/complicaciones , Caries Dental/diagnóstico , Exposición de la Pulpa Dental/diagnóstico , Exposición de la Pulpa Dental/etiología , Escolaridad , Femenino , Humanos , Renta , Masculino , México/epidemiología , Madres/educación , Madres/estadística & datos numéricos , Prevalencia , Medición de Riesgo/estadística & datos numéricos , Factores de Riesgo , Clase Social
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