Circadian Syndrome Is Associated with Dietary Patterns among Middle-Older Americans: The Health and Retirement Study.

Population aging is a global demographic characteristic of the 21st century, and healthy eating is a core component of healthy aging. However, limited evidence is available among older adults for associations between diet quality and circadian syndrome (CircS). Thus, this study examined associations between dietary patterns and CircS among a representative sample of middle-older adults in the US. The sample comprised middle-older adults enrolled in the 2016 core wave of the Health and Retirement Study (HRS) and one of its sub-studies, the 2013 Health Care and Nutrition Study (HCNS). A food frequency questionnaire was used to quantify habitual food intake and identify dietary patterns using a factor analysis. CircS was defined based on the existence of ≥4 components of metabolic syndrome and indicators of sleep disorders and depression. A total of 4253 middle-older adults with a mean age (SD) of 65.4 (10.0) years were included in the study. The prevalence of CircS was 35.9%. Comparing extreme quartiles of the "Prudent Pattern", the odds ratio (95% CI) for CircS was 0.72 (0.55-0.94), and it was 1.47 (1.10-1.95) for the "Western Pattern". The "Western Pattern" was positively associated while the "Prudent Pattern" was inversely associated with the odds of CircS among middle-older adults.

Ultra-processed foods consumption among a USA representative sample of middle-older adults: a cross-sectional analysis.

The study evaluated the association between ultra-processed foods (UPF) and nutrient intake and identified the socio-demographic characteristics associated with UPF consumption among a nationally representative sample of middle-older adults. Dietary assessment was collected in 2013 using a validated FFQ. The Nova system was used to classify food and drinks into UPF. The percentage of dietary energy from UPF was calculated and used throughout the analyses, and average nutrient intake across quintiles of UPF was evaluated. The determinants associated with the dietary caloric contribution of UPF intake were investigated using linear regression models. A cross-sectional analysis of a nationally representative study of Americans over the age of 50, the Health and Retirement Study, was conducted. The analysis included 6220 participants. The mean age was 65 (se 0·28) years, with 55 % being female. UPF intake accounted for 51 % (se 0·25) of total intake. An increase in the percentage of (%UPF) consumption was correlated with an increase in calories, carbohydrates, saturated fat and sugar, and a decrease in fibre, vitamins and minerals. %UPF intake was inversely associated with being Hispanic, higher income, physical activity, vegetarian diet and Mediterranean diet but positively associated with very low food insecurity. UPF represented half of the calories consumed. A higher %UPF intake was associated with a lower nutrient profile, suggesting decreasing %UPF intake as a strategy to improve the nutritional quality of middle-older adults. A few socio-demographic factors were associated with %UPF, which would help in planning strategies to reduce UPF consumption.

Dietary patterns among Saudis with type 2 diabetes mellitus in Riyadh: A cross-sectional study.

We investigated dietary patterns and their associations with sociodemographic and lifestyle factors in Saudi adults with type 2 diabetes mellitus (T2DM). A total of 297 participants (154 men and 143 women) with a mean age (standard deviation) of 54.0 (7.0) years were enrolled in the current study. Self-reported information on sociodemographic and lifestyle characteristics, eating behavior, and frequency of consumption was collected from all participants. Principal component analysis was used to determine dietary patterns. Multiple linear regressions were used to examine the associations between dietary patterns and sociodemographic and lifestyle factors. We identified five dietary patterns: "Vegetables and olive oil," "Refined grains and sweets," "Dairy products and legumes," "Dates and beverages," and "Fruit." Age was inversely associated with the pattern "Refined grains and sweets" (ß = -0.036, p <0.001). Females were more likely to have higher scores with the "Fruit" pattern (ß = 0.410, p = 0.011). Smoking was associated with "Vegetables and olive oil" (ß = 0.919, p = 0.001) and "Dates and beverages" (ß = -0.947, p = 0.001) patterns. The level of physical activity was associated with "Dates and beverages" (ß = 0.104, p = 0.048) and "Vegetables and olive oil" (ß = -0.102, p = 0.048) patterns. The number of snacks consumed was associated with "Dates and beverages" pattern (ß = -0.241, p = 0.005), and the frequency of meals eaten in fast food locations and restaurants per month was associated with "Vegetables and olive oil" pattern (ß = -0.043, p = 0.034). Each dietary pattern was associated with different sociodemographic and lifestyle factors and eating behaviors. This study provides insights into the underlying nutritional habits of Saudi Arabian patients with T2DM. Future studies are necessary to assess these associations in representative samples.

Diet Quality Scores and Cardiometabolic Risk Factors in Mexican Children and Adolescents: A Longitudinal Analysis.

There is limited evidence for the effects of diet on cardiometabolic profiles during the pubertal transition. We collected repeated measures of diet quality and cardiometabolic risk factors among Mexican youth. This analysis included 574 offspring of the Early Life Exposure in Mexico to Environmental Toxicants (ELEMENT) birth cohort followed up to three time points. Dietary Approaches to Stop Hypertension (DASH), alternate Mediterranean Diet (aMedDiet), and Children's Dietary Inflammatory Index (C-DIITM) scores were computed from food frequency questionnaires. Higher DASH and aMedDiet scores reflect a higher diet quality, and lower C-DII scores reflect an anti-inflammatory diet. Cardiometabolic risk factors were lipid profile, glucose homeostasis, blood pressure, and waist circumference. Linear mixed models were used between quartiles of each diet score and outcomes. Compared to the first quartile, the fourth DASH quartile was inversely associated with log serum insulin (µIU/mL) [ß = -0.19, p = 0.0034] and log-Homeostatic Model Assessment of Insulin Resistance [ß = -0.25, p = 0.0008]. Additionally, log serum triglycerides (mg/dL) was linearly associated with aMedDiet score [ß = -0.03, p = 0.0022]. Boys in the highest aMedDiet quartile had higher serum high-density lipoprotein cholesterol (mg/dL) [ß = 4.13, p = 0.0034] compared to the reference quartile. Higher diet quality was associated with a better cardiometabolic profile among Mexican youth.

Reported organic food consumption and metabolic syndrome in older adults: cross-sectional and longitudinal analyses.

PURPOSE: Examine cross-sectional and longitudinal relationships between organic food consumption, metabolic syndrome (MetS), and its components among older adults. METHODS: Respondents of the 2012 Health and Retirement Study (HRS), and Health Care and Nutrition Study (HCNS) were included in this study. Organic food consumption was measured with a crude binary question asking about past-year consumption (yes/no). Cross-sectional analyses were conducted with 6,633 participants (mean (SE) age, 65.5 (0.3) years). Longitudinal analyses were conducted with a subset of 1,637 respondents who participated in the HRS Venous Blood Study (mean (SE) age, 63.8 (0.4) years). Hemoglobin A1C and high-density lipoprotein cholesterol were assessed using dried blood spots at baseline. Glucose, high-density lipoprotein cholesterol, and triglycerides were assessed using fasting blood samples collected 4 years after baseline. Waist circumference and blood pressure were measured at baseline and follow-up. Logistic and linear regressions were used to assess the associations between organic food consumption, MetS, and its components. RESULTS: Any organic food consumption over the previous year was reported among 47.4% of cross-sectional and 51.3% of longitudinal participants. Unadjusted models showed inverse cross-sectional associations between organic food consumption and waist circumference, blood pressure, and hemoglobin A1C, and positive longitudinal association with high-density lipoprotein cholesterol. No significant associations were detected in the fully adjusted models. CONCLUSIONS: No association was observed between organic food consumption and MetS among older adults after adjusting for confounders. Future studies with a precise definition, quantitative assessment of the consumption, and duration of organic food consumption, together with pesticides biomarkers, are warranted.