Food preferences and periodontal status of adults assisted by a public health care system.

This study aimed to investigate the relationship between food choices and periodontal health status (PHS) in adults who receive care through a public health system. We evaluated food preferences and periodontal status in a sample of 442 individuals with at least eight natural teeth. We employed the Food Frequency Questionnaire (FFQ) to assess food choices and the Periodontal Screening and Recording (PSR) instrument to evaluate periodontal health status during clinical appointments. Fisher's discriminant analysis was used to differentiate the participants according to PHS severity within three age-ranges (18-39; 40-59 and > 60 years-old). The results showed that the prevalence of overweight/obesity was high in all age groups (above 65%), and BMI increased with age, accompanied by an increase in the prevalence of chronic diseases. A lower preference for natural foods and a higher intake of processed and ultra-processed foods, along with a high waist circumference and diabetes, were associated with a poorer periodontal health status. In the 18-39 age group, a lower waist circumference was associated with healthier periodontal status. In the 40-59 age group, a worse periodontal status resulted from a higher frequency of diabetes, lower intake of green leafy vegetables, olive oil, and fruit, and higher intake of industrialized juice. Conversely, a healthier periodontal status was associated with a lower frequency of diabetes and higher intake of fruit and vegetables. In the > 60age group, the worst periodontal status was associated with male sex. Overall, the study highlights the possible beneficial role of a healthy diet in maintaining periodontal health, particularly for those who receive care through a public health system.

Metabolic control of diabetic patients assisted by private and public health care systems during the COVID-19 pandemic: A retrospective cohort study.

AIMS: We sought to analyze the impacts of social restriction measures imposed by the pandemic COVID-19 on the control of metabolic parameters in diabetic patients. METHODS: We accessed the medical records of patients who underwent clinical follow-up in the public and private health systems between July 2019 and June 2021. The sample consisted of 288 patients (111 adults and 177 older individuals). A two-way ANOVA mixed model was used to test the effects of intra- (time: baseline and after 24 months) and inter-subject factors. Linear regression analysis was used to predict the difference in body weight considering age, sex, HbA1c, health care system and insulin use. RESULTS: Among adults, we observed an increase in body weight and LDL-c levels, especially for insulin users (p ≤ 0.05). Adults assisted by the public health care system showed higher HbA1c levels (p = 0.001). Among older individuals using insulin, blood glucose levels decreased (p = 0.019). Body weight decreased in those assisted by the private system (p = 0.005), while glycemia decreased for patients assisted by both health care systems (p = 0.043). The linear regression model confirmed that the increase in body weight was more pronounced in adults than in older individuals. CONCLUSION: The social restriction measures imposed by the pandemic affected the metabolic control of diabetic patients, especially adults assisted by the public health care system.