1.
Association of Major Dietary Protein Sources With All-Cause and Cause-Specific Mortality: Prospective Cohort Study.
Sun, Y, Liu, B, Snetselaar, LG, Wallace, RB, Shadyab, AH, Kroenke, CH, Haring, B, Howard, BV, Shikany, JM, Valdiviezo, C, et al
Journal of the American Heart Association. 2021;10(5):e015553
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Dietary recommendations for human health focusing on total protein intake without considering specific protein sources may be simplistic and insufficient. The aim of this study was to investigate whether different dietary protein sources would be differentially associated with mortality risk. The study is based on data from a large prospective cohort study with up to 18-years of follow-up to investigate the risks of all-cause and cause-specific mortality in relation to animal and plant protein intake, and major sources of dietary protein. Results indicate that intake of plant protein and substitution of animal protein with plant protein, were associated with lower risk of all-cause, cardiovascular disease, and dementia mortality. Furthermore, substitution of red meat, eggs, dairy products, or legumes with nuts was associated with lower risk of all-cause mortality. Authors conclude that their findings support the need for consideration of protein sources, in addition to the amount of protein intake, in future dietary guidelines.
Abstract
Background Dietary recommendations regarding protein intake have been focused on the amount of protein. However, such recommendations without considering specific protein sources may be simplistic and insufficient. Methods and Results We included 102 521 postmenopausal women enrolled in the Women's Health Initiative between 1993 and 1998, and followed them through February 2017. During 1 876 205 person-years of follow-up, 25 976 deaths occurred. Comparing the highest with the lowest quintile, plant protein intake was inversely associated with all-cause mortality (hazard ratio [HR], 0.91 [0.86, 0.96]), cardiovascular disease mortality (HR, 0.88 [0.79, 0.97]), and dementia mortality (HR, 0.79 [0.67, 0.94]). Among major protein sources, comparing the highest with the lowest quintile of consumption, processed red meat (HR, 1.06 [1.01, 1.10]) or eggs (HR, 1.14 [1.10, 1.19]) was associated with higher risk of all-cause mortality. Unprocessed red meat (HR, 1.12 [1.02, 1.23]), eggs (HR, 1.24 [1.14, 1.34]), or dairy products (HR, 1.11 [1.02, 1.22]) was associated with higher risk of cardiovascular disease mortality. Egg consumption was associated with higher risk of cancer mortality (HR, 1.10 [1.02, 1.19]). Processed red meat consumption was associated with higher risk of dementia mortality (HR, 1.20 [1.05, 1.32]), while consumption of poultry (HR, 0.85 [0.75, 0.97]) or eggs (HR, 0.86 [0.75, 0.98]) was associated with lower risk of dementia mortality. In substitution analysis, substituting of animal protein with plant protein was associated with a lower risk of all-cause mortality, cardiovascular disease mortality, and dementia mortality, and substitution of total red meat, eggs, or dairy products with nuts was associated with a lower risk of all-cause mortality. Conclusions Different dietary protein sources have varying associations with all-cause mortality, cardiovascular disease mortality, and dementia mortality. Our findings support the need for consideration of protein sources in future dietary guidelines.
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Usefulness of a Lifestyle Intervention in Patients With Cardiovascular Disease.
Broers, ER, Gavidia, G, Wetzels, M, Ribas, V, Ayoola, I, Piera-Jimenez, J, Widdershoven, JWMG, Habibović, M
The American journal of cardiology. 2020;125(3):370-375
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Modifiable (behavioural) risk factors such as sedentary lifestyle and low sleep efficiency, are associated with increased mortality risk and disease progression in individuals with cardiovascular disease. The main aim of this study was to evaluate changes in objectively measured lifestyle and health data derived from wearable devices. This study was part of an international, multicenter randomized controlled trial, the Do Cardiac Health Advanced New Generation Ecosystem 2 study. Only the participants (n=70) randomised to the intervention group were analysed. The participants received the devices to monitor their lifestyle and health parameters. Results indicate significant changes over time in the number of steps and activity level. No significant improvement over time was observed in other outcome measures (i.e., blood pressure, weight, and sleep efficiency). Secondary analysis showed demographic (gender, nationality, marital status), clinical (co-morbidities, heart failure), and psychological (anxiety, depression) profiles that were associated with lifestyle measures. Authors conclude that a personalised approach might be the way forward in order to improve health outcomes in the future.
Abstract
The importance of modifying lifestyle factors in order to improve prognosis in cardiac patients is well-known. Current study aims to evaluate the effects of a lifestyle intervention on changes in lifestyle- and health data derived from wearable devices. Cardiac patients from Spain (n = 34) and The Netherlands (n = 36) were included in the current analysis. Data were collected for 210 days, using the Fitbit activity tracker, Beddit sleep tracker, Moves app (GPS tracker), and the Careportal home monitoring system. Locally Weighted Error Sum of Squares regression assessed trajectories of outcome variables. Linear Mixed Effects regression analysis was used to find relevant predictors of improvement deterioration of outcome measures. Analysis showed that Number of Steps and Activity Level significantly changed over time (F = 58.21, p < 0.001; F = 6.33, p = 0.01). No significant changes were observed on blood pressure, weight, and sleep efficiency. Secondary analysis revealed that being male was associated with higher activity levels (F = 12.53, p < 0.001) and higher number of steps (F = 8.44, p < 0.01). Secondary analysis revealed demographic (gender, nationality, marital status), clinical (co-morbidities, heart failure), and psychological (anxiety, depression) profiles that were associated with lifestyle measures. In conclusion results showed that physical activity increased over time and that certain subgroups of patients were more likely to have a better lifestyle behaviors based on their demographic, clinical, and psychological profile. This advocates a personalized approach in future studies in order to change lifestyle in cardiac patients.
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Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes.
Zhu, L, She, ZG, Cheng, X, Qin, JJ, Zhang, XJ, Cai, J, Lei, F, Wang, H, Xie, J, Wang, W, et al
Cell metabolism. 2020;31(6):1068-1077.e3
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The novel coronavirus disease 2019 (COVID-19) is caused by infection from the newly emerged, highly contagious coronavirus SARS-CoV-2. The aim of this study was to analyse the association between plasma glucose levels and clinic outcomes in COVID-19 patients with type 2 diabetes (T2D). The study is a retrospective longitudinal, multi-centre study from a cohort of 7,337 COVID-19 cases enrolled among 19 hospitals. Results show that patients with pre-existing T2D received significantly more intensive integrated treatments to manage their symptoms of COVID-19 than the non-diabetic subjects. Furthermore, findings indicate that well-controlled blood glucose was associated with a markedly improved outcome of patients with COVID-19 and pre-existing T2D. Authors conclude that T2D is an important risk factor for COVID-19 progression and adverse endpoints, and well-controlled blood glucose is associated with a significant reduction in the composite adverse outcomes and death.
Abstract
Type 2 diabetes (T2D) is a major comorbidity of COVID-19. However, the impact of blood glucose (BG) control on the degree of required medical interventions and on mortality in patients with COVID-19 and T2D remains uncertain. Thus, we performed a retrospective, multi-centered study of 7,337 cases of COVID-19 in Hubei Province, China, among which 952 had pre-existing T2D. We found that subjects with T2D required more medical interventions and had a significantly higher mortality (7.8% versus 2.7%; adjusted hazard ratio [HR], 1.49) and multiple organ injury than the non-diabetic individuals. Further, we found that well-controlled BG (glycemic variability within 3.9 to 10.0 mmol/L) was associated with markedly lower mortality compared to individuals with poorly controlled BG (upper limit of glycemic variability exceeding 10.0 mmol/L) (adjusted HR, 0.14) during hospitalization. These findings provide clinical evidence correlating improved glycemic control with better outcomes in patients with COVID-19 and pre-existing T2D.