The Association between Breakfast Skipping and Body Weight, Nutrient Intake, and Metabolic Measures among Participants with Metabolic Syndrome

The effect of skipping breakfast on health, especially in adults, remains a controversial topic. A secondary data analysis was conducted to examine associations between breakfast eating patterns and weight loss, nutrient intake, and metabolic parameters among participants with metabolic syndrome (MetS) (n = 240). Three randomly selected 24-h dietary recalls were collected from each participant at baseline and at the one-year visit. Skipped breakfast was seen in 32.9% at baseline and in 17.4% at the one-year visit, respectively. At baseline, after adjustment for demographics and physical activity, participants who ate breakfast had a higher thiamin, niacin, and folate intake than did breakfast skippers (p \u3c 0.05); other selected parameters including body weight, dietary quality scores, nutrient intake, and metabolic parameters showed no significant differences between the two groups (p ≥ 0.05). From baseline to one year, after adjustment for covariates, mean fat intake increased by 2.7% (95% confidence intervals (CI): −1.0, 6.5%) of total energy in breakfast skippers in comparison to the 1.2% decrease observed in breakfast eaters (95% CI: −3.4, 1.1%) (p = 0.02). Mean changes in other selected parameters showed no significant differences between breakfast skippers and eaters (p \u3e 0.05). This study did not support the hypothesis that skipping breakfast has impact on body weight, nutrient intakes, and selected metabolic measures in participants with MetS

Association Between Obesity and Asthma among Adults: A Hospital Based Case-Control Study

The aim is to study the association between obesity and asthma among adults by gender. The prevalences of both asthma and obesity have increased substantially in recent decades, leading to speculation that obese individuals might be at risk of asthma. However, the evidence of a relationship between obesity and asthma is not fully conclusive among adults. Hence we investigate the association between obesity and asthma among men and women using both measured weight and height and self-reported weight and height while controlling for the effects of the demographic and environmental factors. This case-control study involves a total of 159 adults; 53 cases and 106 controls enrolled in the month of July 2009 at PSG Hospitals. Body Mass Index (BMI) was calculated based on measured weight and height. The Odds Ratio (OR) with 95% confidence interval for obese individuals was estimated using logistic regression analysis with SPSS 11.5 for windows software (SPSS Inc., Chicago, Illinois). Multivariate logistic regression model was used to adjust all risk estimates for covariates. Obese women were found to have 9.14 times the risk of asthma than non obese women (95% confidence interval (CI):1.38, 35.68) after adjusting for covariates, such as age, education, environmental tobacco smoke and pet keeping. No significant association was observed among men although the direction of association is positive; adjusted odds ratio was 1.06 (95% CI: 0.12, 9.70). No significant association was observed between self-reported prevalence of obesity and asthma; among women, adjusted odds ratio = 4.33 (95% CI: 0.69, 27.37); and among men, adjusted odds ratio = 0.89 (95% CI: 0.11, 7.12). The study indicates a strong positive association between obesity and asthma among adult Indian women. The causal links between obesity and asthma by gender need to be further examined using prospective cohort studies

Bayesian variable selection for high dimensional predictors and self-reported outcomes

BACKGROUND: The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnosis of silent events may also occur through the use of imperfect laboratory-based diagnostic tests. In this paper, we describe an approach for variable selection in high dimensional datasets for settings in which the outcome is observed with error. METHODS: We adapt the spike and slab Bayesian Variable Selection approach in the context of error-prone, self-reported outcomes. The performance of the proposed approach is studied through simulation studies. An illustrative application is included using data from the Women\u27s Health Initiative SNP Health Association Resource, which includes extensive genotypic ( \u3e 900,000 SNPs) and phenotypic data on 9,873 African American and Hispanic American women. RESULTS: Simulation studies show improved sensitivity of our proposed method when compared to a naive approach that ignores error in the self-reported outcomes. Application of the proposed method resulted in discovery of several single nucleotide polymorphisms (SNPs) that are associated with risk of type 2 diabetes in a dataset of 9,873 African American and Hispanic participants in the Women\u27s Health Initiative. There was little overlap among the top ranking SNPs associated with type 2 diabetes risk between the racial groups, adding support to previous observations in the literature of disease associated genetic loci that are often not generalizable across race/ethnicity populations. The adapted Bayesian variable selection algorithm is implemented in R. The source code for the simulations are available in the Supplement. CONCLUSIONS: Variable selection accuracy is reduced when the outcome is ascertained by error-prone self-reports. For this setting, our proposed algorithm has improved variable selection performance when compared to approaches that neglect to account for the error-prone nature of self-reports

Associations of Daily Eating Episodes, and Eating Away-from-home with Blood Level of Total Cholesterol

The objective of this investigation is to describe the associations of number of eating episodes and proportion of meals eaten away from home with total serum cholesterol. Data from 499 participants, recruited from a health maintenance organization in central Massachusetts, aged 20-70, were used for this analysis. Dietary information and total blood cholesterol were obtained at five sampling points (baseline and four consecutive quarters) during the one-year follow-up. A cross-sectional study was conducted. The results from the study do not support the hypothesis that the number of eating episodes per day is associated with total blood cholesterol. However, we noted that the mean concentration of total cholesterol decreased with increasing number of eating episodes among women, although the adjusted mean among three categories of number of eating episodes per day was not statistically significant. On the other hand, the results of our study suggest that increased frequency of meals (breakfast, lunch, or dinner) eaten away from home is positively associated with mean total blood cholesterol concentration. Furthermore, meals eaten away from home, especially breakfast and dinner, were significantly higher in total calories, and percent calories from total and saturated fat, but lower in percent calories from protein and carbohydrate, and grams of fiber, than corresponding meals eaten at home. We conclude that eating out may have adverse influences on blood lipids. Further research is needed to better understand the impact of eating away from home on blood lipids

Randomized Trial of a Pharmacist-Delivered Intervention for Improving Lipid-Lowering Medication Adherence among Patients with Coronary Heart Disease

A randomized trial of a pharmacist-delivered intervention (PI) versus usual care (UC) was conducted; 689 subjects with known coronary heart disease were recruited from cardiac catheterization laboratories. Participants in the PI condition received 5 pharmacist-delivered telephone counseling calls post-hospital discharge. At one year, 65% in the PI condition and 60% in the UC condition achieved an LDL-C level <100 mg/dL (P = .29); mean statin adherence was 0.88 in the PI, and 0.90 in the UC (P = .51). The highest percentage of those who reached the LDL-C goal were participants who used statins as opposed to those who did not use statins (67% versus 58%, P = .05). However, only 53% and 56% of the patients in the UC and PI conditions, respectively, were using statins. We conclude that a pharmacist-delivered intervention aimed only at improving patient adherence is unlikely to positively affect outcomes. Efforts must be oriented towards influencing physicians to increase statin prescription rates

Design and methods for testing a simple dietary message to improve weight loss and dietary quality

BACKGROUND: The current food pyramid guidelines have been criticized because of their complexity and the knowledge required for users to understand the recommendations. Simplification of a dietary message to focus on a single key aspect of dietary quality, e.g., fiber intake, may make the message much easier to comprehend and adhere, such that respondents can achieve greater weight loss, better dietary quality and overall metabolic health. METHODS AND DESIGN: This is a randomized controlled clinical trial with two equal sized arms. In total, 240 obese adults who meet diagnostic criteria for the metabolic syndrome will be randomized to one of the two conditions: 1) a high fiber diet and 2) the American Heart Association (AHA) diet. In the high fiber diet condition, patients will be given instruction only on achieving daily dietary fiber intake of 30 g or more. In the AHA diet condition, patients will be instructed to make the several dietary changes recommended by the AHA 2006 guidelines. The trial examines participant weight loss and dietary quality as well as changes in components of the metabolic syndrome, inflammatory biomarkers, low-density lipoprotein cholesterol levels, insulin levels, and glycosolated hemoglobin. Potential mediators, i.e., diet adherence and perceived ease of the diet, and the intervention effect on weight change will also be examined. DISCUSSIONS: The purpose of this paper is to outline the study design and methods for testing the simple message of increasing dietary fiber. If the simple dietary approach is found efficacious for weight loss; and, improves dietary quality, metabolic health, and adherence, it might then be used to develop a simple public health message. TRIAL REGISTRATION: NCT00911885

Simple messages to improve dietary quality: A pilot investigation

Public health recommendations for a healthy diet often involve complex messages, requiring in-depth knowledge for understanding and compliance. The present study compared the feasibility and initial efficacy of two simple messages (a high fiber diet or a low saturated fat diet) to a combination message (high fiber and low saturated fat) on the potential to impact dietary quality and metabolic health. Conclusions: A simple dietary message appears to improve overall dietary quality and aid in weight management. Simple messages are a novel approach which could make a significant impact on the prevention and treatment of chronic disease as well as weight management. Results support the need for a larger randomized controlled trial that is powered to examine the efficacy of a simplified dietary recommendation for dietary quality and metabolic health. It would be worth exploring the impact of simple messages in a larger trial to determine their usefulness as simple public health messages as an alternative the current complex recommendations

Association between Dietary Carbohydrates and Body Weight

The role of dietary carbohydrates in weight loss has received considerable attention in light of the current obesity epidemic. The authors investigated the association of body mass index (weight (kg)/height (m)2) with dietary intake of carbohydrates and with measures of the induced glycemic response, using data from an observational study of 572 healthy adults in central Massachusetts. Anthropometric measurements, 7-day dietary recalls, and physical activity recalls were collected quarterly from each subject throughout a 1-year study period. Data were collected between 1994 and 1998. Longitudinal analyses were conducted, and results were adjusted for other factors related to body habitus. Average body mass index was 27.4 kg/m2 (standard deviation, 5.5), while the average percentage of calories from carbohydrates was 44.9 (standard deviation, 9.6). Mean daily dietary glycemic index was 81.7 (standard deviation, 5.5), and glycemic load was 197.8 (standard deviation, 105.2). Body mass index was found to be positively associated with glycemic index, a measure of the glycemic response associated with ingesting different types of carbohydrates, but not with daily carbohydrate intake, percentage of calories from carbohydrates, or glycemic load. Results suggest that the type of carbohydrate may be related to body weight. However, further research is required to elucidate this association and its implications for weight management

Electronic Fingerprints of Cr and V Dopants in the Topological Insulator Sb₂Te₃

By combining scanning tunneling microscopy/spectroscopy and first-principles calculations, we systematically study the local electronic states of magnetic dopants V and Cr in the topological insulator (TI) Sb2Te3. Spectroscopic imaging shows diverse local defect states between Cr and V, which agree with our first-principle calculations. The unique spectroscopic features of V and Cr dopants provide electronic fingerprints for the codoped magnetic TI samples with the enhanced quantum anomalous Hall effect. Our results also facilitate the exploration of the underlying mechanism of the enhanced quantum anomalous Hall temperature in Cr/V codoped TIs

Association between Depression and C-Reactive Protein

Objective. Depression has been associated with increased cardiovascular disease risk, and a depression-related elevation of high sensitivity C-reactive protein (hs-CRP) has been proposed as a possible mechanism. The objective of this paper is to examine association between depression and high sensitivity C-reactive protein (hs-CRP). Methods. Subjects consisted of 508 healthy adults (mean age 48.5 years; 49% women, 88% white) residing in central Massachusetts. Data were collected at baseline and at quarterly intervals over a one-year period per individual. Multivariable linear mixed models were used to assess the association for the entire sample and by gender. Results. The mean Beck Depression Inventory score was 5.8 (standard deviation (SD) 5.4; median 4.3), and average serum hs-CRP was 1.8 mg/L (SD 1.7; median 1.2). Results from the multivariable linear mixed models show that individuals with higher depression scores have higher levels of hs-CRP. Analyses by gender show persistence of an independent association among women, but not among men. Body mass index (BMI = weight(kg)/height(m)2) appears to be a partial mediator of this relationship. Conclusion. Depression score was correlated to hs-CRP levels in women. Further studies are required to elucidate the biological mechanisms underlying these associations and their implications