Purpose: To examine the association between educational level and the presence of periodontal disease in adults ages ≥ 50 years in Mexico.
Materials And Methods: A cross-sectional study was conducted on 2098 Mexican adults, using data from the annual reports of the Epidemiological Monitoring System for Oral Pathologies from 2019-2022. Data were collected on sociodemographic characteristics such as gender, age, educational level, oral hygiene, and diabetes.
To estimate the prevalence and factors associated with diabetes among older adults and compare the prevalence rate of a three-round national survey of the Mexican Health and Aging Study (MHAS). A cross-sectional study was conducted with data obtained from MHAS 2015 ( = 8167), 2018 ( = 7854), and 2021 ( = 8060), which comprised a nationally representative sample of older adults in Mexico. The measures included sociodemographic characteristics and health.
View Article and Find Full Text PDFSalud Publica Mex
April 2023
Objetivo: Determinar la asociación entre mala autopercepción de salud oral y fragilidad en personas mayores. Material y métodos. Estudio transversal en personas mayores de la Ciudad de México.
View Article and Find Full Text PDFObjective: To examine the association between the level of marginalization and tooth loss in adults aged ≥50 years in Mexico.
Methods: A retrospective cross‑sectional study was conducted on 2098 adults selected from communities presenting both high and medium levels of marginalization, with data obtained from the annual reports of the Epidemiological Surveillance System of Oral Pathologies 2019-2022. Analysis considered sociodemographic characteristics such as sex, age, and years of education.
Background: To determine the association between oral health condition and development of frailty over a 12-month period in community-dwelling older adults.
Methods: Population-based, case-cohort study derived from the Cohort of Obesity, Sarcopenia, and Frailty of Older Mexican Adults (COSFOMA) study, including data from years 2015 and 2016. Using latent class analysis, we determined the oral health condition of older adults with teeth (t), i.