Periodontitis and tooth loss have negative impact on dietary intake: A cross-sectional study with stable coronary artery disease patients.

BACKGROUND: Despite the association between cardiovascular diseases and periodontitis, there are scarce data on the impact of oral health in the dietary intake of patients with coronary artery disease (CAD). The aim of this study was to assess the association between dietary intake with periodontitis and present teeth in individuals with stable CAD. METHODS: This cross-sectional study included 115 patients with stable CAD (76 males, aged 61.0 ± 8.3 years) who were under cardiovascular care in an outpatient clinic for at least 3 months. Dietary intake was recorded applying a food frequency questionnaire previously validated. Periodontal examinations were performed by two calibrated examiners in six sites per tooth from all present teeth. Blood samples were collected to determine serum levels of lipids. Multivariable logistic and linear regression models were fitted to evaluate the association between dietary outcomes and oral health variables. RESULTS: Individuals with periodontitis had significantly higher percentage of total energy intake from fried foods, sweets, and beans, and also had lower consumption of fruits than those without periodontitis. Presence of periodontitis was associated with lower percentage of individuals who reached the nutritional recommendation of monounsaturated fatty acids and higher blood concentration of triglycerides. Having a greater number of present teeth (≥20 teeth) was associated with higher intake of fibers and total calories. CONCLUSION: In patients with stable CAD, the presence of periodontitis and tooth loss were associated with a poor dietary intake of nutrients and healthy foods, which are important for cardiovascular prevention.

Diet Quality and Glycemic Control in Patients with Type 2 Diabetes.

BACKGROUND: The overall diet quality of individuals and populations can be assessed by dietary indexes based on information from food surveys. Few studies have evaluated the diet quality of individuals with type 2 diabetes or its potential associations with glycemic control. OBJECTIVE: To evaluate the relationship between diet quality and glycemic control. DESIGN: Cross-sectional study with consecutive enrollment from 2013 to 2016. PARTICIPANTS: Outpatients with type 2 diabetes treated at a university hospital in southern Brazil. MAIN OUTCOME MEASURES: Dietary information was obtained by a quantitative food frequency questionnaire validated for patients with diabetes. Overall diet quality was evaluated by the Healthy Eating Index 2010. Glycemic control was assessed by fasting plasma glucose and glycated hemoglobin. STATISTICAL ANALYSES: A receiver operating characteristic curve was constructed to find the optimal Healthy Eating Index cutoff point to discriminate diet quality, considering good glycemic control as glycated hemoglobin level <7%. Patients were then classified as having lower vs higher diet quality, and the two groups were compared statistically. Logistic regression models were constructed with glycated hemoglobin level ≥7% as the dependent variable, adjusted for age, current smoking, diabetes duration and treatment, physical activity, body mass index, high-density lipoprotein cholesterol level, and energy intake. RESULTS: A total of 229 patients with type 2 diabetes (median age=63.0 years [interquartile range=58.0 to 68.5 years]; diabetes duration=10.0 years [interquartile range=5 to 19 years]; body mass index 30.8±4.3; and glycated hemoglobin=8.1% [interquartile range=6.9% to 9.7%]) were evaluated. A Healthy Eating Index score >65% yielded the best properties (area under the receiver operator characteristic curve=0.60; sensitivity=71.2%; specificity=52.1%; P=0.018). Patients with lower-quality diets were younger and more likely to be current smokers than patients with higher-quality diets. After adjusting for confounders, patients with lower-quality diets had nearly threefold odds of poorer glycemic control (2.92; 95% CI 1.27 to 6.71; P=0.012) than those in the higher-quality diet group. CONCLUSIONS: Lower diet quality, defined as an Healthy Eating Index 2010 score <65%, was associated with poor glycemic control in this sample of outpatients with type 2 diabetes.

Increased protein intake is associated with uncontrolled blood pressure by 24-hour ambulatory blood pressure monitoring in patients with type 2 diabetes.

OBJECTIVE: To analyze possible associations of dietary components, especially protein intake, with blood pressure (BP) during ambulatory BP monitoring (ABPM) in patients with type 2 diabetes. METHODS: In this cross-sectional study, BP of outpatients with type 2 diabetes was evaluated by 24-hour ABPM (Spacelabs 90207) and usual diet by 3-day weighed diet records. Patients were divided into 2 groups according to their daytime ABPM: uncontrolled BP (systolic BP ≥ 135 mmHg or diastolic BP ≥ 85 mmHg) and controlled BP (systolic BP < 135 mmHg and diastolic BP < 85 mmHg). Logistic regression models unadjusted and adjusted for possible confounders (covariates) were used to analyze the association of protein and uncontrolled BP. RESULTS: A total of 121 patients with type 2 diabetes aged 62.3 years, 54.5% of whom were women, were studied. The uncontrolled BP group had higher glycated hemoglobin (HbA1C) values (8.4 ± 2.0 vs 7.6 ± 1.3%; p = 0.04) and consumed more protein (20.0 ± 3.8 vs 18.2 ± 3.6% of energy; p = 0.01) and meat, (2.6 [1.45, 2.95] vs 2.0 [1.49, 2.90] g/kg weight; p = 0.04) than the controlled BP group. In a multivariate analysis, protein intake (% of energy) increased the chance for uncontrolled BP (odds ratio [OR] = 1.16; 95% confidence interval [CI], 1.02, 1.30; p = 0.02), adjusted for body mass index (BMI), HbA1C, low-density lipoprotein (LDL) cholesterol, number of antihypertensive medications, and ethnicity. Meat consumption higher than 3.08 g/kg weight/day more than doubled the chance for uncontrolled BP (OR = 2.53; 95% CI, 1.01, 7.60; p = 0.03). CONCLUSION: High protein intake and meat consumption were associated with high daytime ABPM values in patients with type 2 diabetes. Reducing meat intake might represent an additional dietary intervention in hypertensive patients with type 2 diabetes.