Zhang, Hongju

Introduction: Current proposed Dietary Guidelines for Americans, 2015 suggested replacing refined grains (e.g., white rice) with whole grains (e.g., brown rice) for improved health outcomes; however, the association between white rice consumption and risk of cardiovascular disease (CVD) was not fully investigated. The purpose of this study was to explore the associations between rice consumption, metabolic syndrome and cardiovascular disease. Methods: We conducted a comprehensive search of MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, Scopus, and the Cochrane Central Register of Controlled Trials from database inception through May 2015. Observational studies were included if the studies reported hazard ratios (HRs) or odd ratios (ORs) of the associations between rice consumption, metabolic syndrome and cardiovascular disease. Data were extracted by one reviewer and then reviewed by two independent reviewers. Conflicts were resolved through consensus. Using the DerSimonian and Laird random effects models, we calculated pooled HRs and pooled ORs with 95% confidence intervals (95% CIs). Subgroup analyses were performed to explore potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: Out of 343 retrieved articles, we identified 6 cross-sectional and 9 prospective studies with a total of 575,852 individuals with 24,649 total CVD events and 4,409 metabolic syndrome cases. The highest category of white rice consumption (≥5 times/week) was associated with a 37% higher risk of metabolic syndrome (pooled OR, 1.37; 95% CI: 1.03-1.84; p<0.001; I 2 = 78.7%) but not a higher risk of cardiovascular disease (pooled HR, 1.01; 95% CI: 0.95-1.08; p=0.65; I 2 = 0%), compared to the lowest category (≤1 time/month). Conclusions: Higher white rice consumption has not been shown to increase the risk of cardiovascular diseases but may be associated with increased risk of metabolic syndrome.

Introduction: At-work stress is rapidly becoming a significant contributory cause of occupational disease, while sedentary work and dietary indiscretion, taken together, have contributed to cardiovascular disease, known to be associated with substantial morbidity and mortality. The aim of the CV-Ecosystem Model is to provide an individual approach by systematic environmental modification of the work site. Methods and Results: Our model which we term the CV-Ecosystem Model includes two basic tenets: 1) Workstation technologic design 2) Flexible physiologic activity. Workstation technologic design utilizes the services of a certified Ergonomist to engineer a comfortable, safe, and effective work environment. It is tailored to the unique physiologic needs of the worker while enhancing productivity within different environments. Computer aided design software would evaluate ergonomics to maximally mitigate the risk and incidence of eye strain, musculoskeletal disorders, repetitive movement disorders such as Carpal Tunnel Syndrome, etc unique to that work activity. Flexible physiologic activity would permit a worker to actively focus on basic needs during work time, on site; this would include exercise activity and food intake, channeled into healthy options. Exercise time would provide a sense of calm during stressful projects and enhance emotional well-being. In this regard, a three hour period of time, weekly, could be allocated to fitness or meditation. Conveniently located food stations could provide a variety of healthy, plant-based, fresh food options. Both would come with flexible, relative control and scheduling of these activities, within a social environment and context. Conclusions: The CV Ecosystem Model, due to its simple technology and relative low cost, could be successfully implemented in a number of enterprises, including all healthcare facilities, with benefit to employee health, wellbeing, and favorable to the business bottom line.

Cardiovascular disease (CVD) is the most common cause of death worldwide. Cardiac rehabilitation (CR) is increasingly recognised as an essential part of clinical care for patients with CVD. CR is a complex intervention that encompasses a multidisciplinary approach that focuses on health education, modification of cardiovascular risk factors, exercise training, physical activity and stress management. In the current American Heart Association/American College of Cardiology guidelines, cardiac rehabilitation is a class IA recommendation for secondary prevention of acute myocardial infarction, percutaneous coronary intervention and cardiac surgery and Class II recommendation for chronic stable heart failure. Despite proven effectiveness, however, participation in traditional CR remains low. Although the reasons for participation and non-participation in CR have been well described, the use of Twitter to explore public perceptions of CR has not yet been formally reported. To the best of our knowledge, the analysis of Twitter for insights on CR is a novel investigation that is relevant for addressing significant problems related to CR awareness in the digital age. We performed data mining of Twitter to assess patients’ perceptions regarding CR and the reasons for their participation and non-participation in CR between 23 July 2015 and 22 October 2017. We analysed a total of 5515 Twitter messages. Tweets associated with CR were often used to self-report on health status either before or after participating in CR or contained emotional language with positive or negative comments, advertisements or updated news. Twitter users wrote mainly positive comments about CR, suggesting the platform has the potential to disseminate both the benefits of CR and its research to the public on the worldwide scale.

Background: A shorter sleep duration has been identified as a risk factor for cardiovascular diseases and increased mortality. It has been hypothesized that a short sleep duration may be linked to changes in ghrelin and leptin production, leading to an alteration of stress hormone production. Here, we conducted a systematic review and meta-analysis to investigate the potential relationship between a sleep duration and cardiovascular disease mortality. Methods: We conducted a comprehensive search of Ovid Medline In-Process and other non-indexed citations, Ovid MEDLINE, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, and Scopus from database inception to March 2017. Observational studies were included if the studies reported hazard ratios or odds ratios of the associations between sleep durations (short and long) and cardiovascular disease mortality. Data were extracted by a reviewer and then reviewed by two separate reviewers. Conflicts were resolved through consensus. Using the DerSimonian and Laird random effects models, we calculated pooled hazard ratios and pooled odds ratios with 95% confidence intervals (CI). Subgroup analyses were performed to explore potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: In total, our meta-analysis included 19 studies (31 cohorts) with a total of 816,995 individuals with 42,870 cardiovascular disease mortality cases. In pooled analyses, both short (risk ratio 1.19; 95% CI 1.13 to 1.26, P<0.001, I2=30.7, Pheterogeneity=0.034), and long (risk ratio 1.37; 95% CI 1.23 to 1.52, P<0.001, I2=79.75, Pheterogeneity<0.001) sleep durations were associated with a greater risk of cardiovascular disease mortality. Conclusions: Both short (<7 hours) and long sleep durations (>9 hours) can increase the risk of overall cardiovascular disease mortality, particularly in Asian populations and elderly individuals. Future epidemiological studies would ideally include objective sleep measurements, rather than self-report measures, and all potential confounders, such as genetic variants.