Association between TV viewing and heart disease mortality: observational study using negative control outcome

AIMS: Sedentary behaviour (particularly television (TV) viewing) is thought to be a risk factor for cardiovascular disease. We employed a negative control outcome to explore whether the association between TV viewing and heart disease mortality is explained by confounding. METHODS: The sample was drawn from the UK Biobank study and comprised 479 658 participants (aged 56.5±8.0 years; 45.7% men) followed up over a mean of 10.4 years. TV viewing was measured from self-report. RESULTS: There were 1437 ischaemic heart disease (IHD) deaths, and 214 accidental deaths (employed as the negative control outcome). TV viewing was related to the following confounding variables: age, smoking, alcohol, diet, obesity, physical inactivity, cardiovascular disease and education. The confounding structures were similar for both outcomes. TV viewing (per hour/d) was associated with IHD (hazard ratio (HR)=1.30, 95% CI, 1.27 to 1.33) and accidental death (HR=1.15, 95% CI, 1.07 to 1.24) in unadjusted models. Associations were attenuated for both outcomes and were considerably converged after adjustment for confounders; IHD (HR=1.09, 95% CI, 1.06 to 1.12) and accidental death (HR=1.06, 95% CI, 0.98 to 1.15). CONCLUSION: The pattern of results for TV with an implausible outcome mirrored that of IHD, suggesting that observed associations between TV and heart disease are likely to be driven by confounding

Does a physically active lifestyle attenuate the association between alcohol consumption and mortality risk? Findings from the UK biobank

Alcohol consumption is common across Western culture, despite its associations with adverse health outcomes, including cancer and cardiovascular disease (CVD). Physical activity (PA) has beneficial effects on many alcohol related outcomes, with data suggesting PA may offset the association between alcohol consumption and mortality. This study examined the joint associations of PA and alcohol on all-cause, CVD and cancer mortality. Participants were recruited between 2006 and 2010 in the United Kingdom. Alcohol consumption was categorised based on current UK guidelines (14 units/week). PA was categorised based on the Metabolic Task Equivalent of PA as low, moderate and high. Data were analysed using Cox proportional-hazard models. The final analysis, conducted in 2019, included 297,988 adults aged ≥40. Over an average follow-up of 6.9 years, 6079 deaths were recorded, including 1219 CVD deaths and 3112 cancer deaths. We observed greater point estimates for risk of all-cause mortality among low PA individuals who consumed alcohol at the same level as active individuals. For example, low PA participants who reported alcohol consumption ≥double guidelines had a greater HR (1.55, 95% CI 1.25, 1.93) than active individuals (moderate PA HR 1.21, 95% CI 0.95, 1.54; high PA HR 1.21, 95% CI 1.00, 1.46). Considering CVD, we observed a similar trend with lower point estimates of risk of mortality among active individuals. We found some evidence that PA modified the associations of alcohol and all-cause and CVD mortality in this large population sample of British adults

Characteristics and efficacy of physical activity interventions to improve cardiometabolic and psychosocial outcomes in people living with HIV in sub-Saharan Africa: a protocol for a systematic review

BACKGROUND: Antiretroviral therapy (ART) has led to an increased lifespan for people living with HIV (PWH). This increased lifespan, coupled with the effects of HIV and adverse effects of ART have resulted in an increasing burden of cardiometabolic disease (CMD) among PWH. Physical activity (PA) has been proposed as an effective strategy to reduce the risk of developing cardiometabolic disease and other health complications in PWH. The aim of this paper is to review the characteristics and efficacy of PA interventions to improve cardiometabolic and psychosocial outcomes among PWH in sub-Saharan Africa. METHODS: The review will follow the preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P). Literature searches will be conducted in PubMed, Web of Science (WoS), African Index Medicus, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Embase. Peer-reviewed publications will be included if they include adults (age 18 or older), PWH in sub-Saharan Africa, and a PA intervention to improve cardiometabolic outcomes and/or psychosocial outcomes. We will include randomized controlled trials and quasi-experimental study designs. Two independent reviewers will screen all abstracts and full-text articles. The study methodological quality (or bias) will be appraised using the Revised tool to assess risk of bias in randomized trials and the Downs and Black checklist. Certainty of evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation guidelines. Meta-analyses will be conducted if our results are adequate for meta-analysis. Outcomes will be analyzed as continuous or dichotomous and meta-analyses will be conducted using random effects models with Stata computer software. DISCUSSION: This review will identify and synthesize the current evidence regarding the characteristics and efficacy of PA interventions to improve cardiometabolic and psychosocial outcomes among PWH in sub-Saharan Africa. We also plan to identify the strengths and weaknesses of evaluated interventions. Based on the evidence, recommendations will be made to promote the design and further evaluate the most promising strategies to maximize the efficacy of PA interventions in improving cardiometabolic and psychosocial outcomes in PWH in sub-Saharan Africa. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration ID: CRD42021271937

Diabetes Risk Factors, Diabetes Risk Algorithms, and the Prediction of Future Frailty: The Whitehall II Prospective Cohort Study

Objective: To examine whether established diabetes risk factors and diabetes risk algorithms are associated with future frailty. / Design: Prospective cohort study. Risk algorithms at baseline (1997–1999) were the Framingham Offspring, Cambridge, and Finnish diabetes risk scores. / Setting: Civil service departments in London, United Kingdom. / Participants: There were 2707 participants (72% men) aged 45 to 69 years at baseline assessment and free of diabetes. / Measurements: Risk factors (age, sex, family history of diabetes, body mass index, waist circumference, systolic and diastolic blood pressure, antihypertensive and corticosteroid treatments, history of high blood glucose, smoking status, physical activity, consumption of fruits and vegetables, fasting glucose, HDL-cholesterol, and triglycerides) were used to construct the risk algorithms. Frailty, assessed during a resurvey in 2007–2009, was denoted by the presence of 3 or more of the following indicators: self-reported exhaustion, low physical activity, slow walking speed, low grip strength, and weight loss; “prefrailty” was defined as having 2 or fewer of these indicators. / Results: After a mean follow-up of 10.5 years, 2.8% of the sample was classified as frail and 37.5% as prefrail. Increased age, being female, stopping smoking, low physical activity, and not having a daily consumption of fruits and vegetables were each associated with frailty or prefrailty. The Cambridge and Finnish diabetes risk scores were associated with frailty/prefrailty with odds ratios per 1 SD increase (disadvantage) in score of 1.18 (95% confidence interval: 1.09–1.27) and 1.27 (1.17–1.37), respectively. / Conclusion: Selected diabetes risk factors and risk scores are associated with subsequent frailty. Risk scores may have utility for frailty prediction in clinical practice

Cardiovascular disease risk scores in identifying future frailty: the Whitehall II prospective cohort study

Objectives: To examine the capacity of existing cardiovascular disease (CVD) risk algorithms widely used in primary care, to predict frailty. / Design: Prospective cohort study. Risk algorithms at baseline (1997–1999) were the Framingham CVD, coronary heart disease and stroke risk scores, and the Systematic Coronary Risk Evaluation. / Setting: Civil Service departments in London, UK. / Participants: 3895 participants (73% men) aged 45–69 years and free of CVD at baseline. / Main outcome measure: Status of frailty at the end of follow-up (2007–2009), based on the following indicators: self-reported exhaustion, low physical activity, slow walking speed, low grip strength and weight loss. / Results: At the end of the follow-up, 2.8% (n=108) of the sample was classified as frail. All four CVD risk scores were associated with future risk of developing frailty, with ORs per one SD increment in the score ranging from 1.35 (95% CI 1.21 to 1.51) for the Framingham stroke score to 1.42 (1.23 to 1.62) for the Framingham CVD score. These associations remained after excluding incident CVD cases. For comparison, the corresponding ORs for the risk scores and incident cardiovascular events varied between 1.36 (1.15 to 1.61) and 1.64 (1.50 to 1.80) depending on the risk algorithm. / Conclusions: The use of CVD risk scores in clinical practice may also have utility for frailty prediction

Seabird movement reveals the ecological footprint of fishing vessels.

Exploitation of the seas is currently unsustainable, with increasing demand for marine resources placing intense pressure on the Earth's largest ecosystem [1]. The scale of anthropogenic effects varies from local to entire ocean basins [1-3]. For example, discards of commercial capture fisheries can have both positive and negative impacts on scavengers at the population and community-level [2-6], although this is driven by individual foraging behaviour [3,7]. Currently, we have little understanding of the scale at which individual animals initiate such behaviours. We use the known interaction between fisheries and a wide-ranging seabird, the Northern gannet Morus bassanus[3], to investigate how fishing vessels affect individual birds' behaviours in near real-time. We document the footprint of fishing vessels' (≥15 m length) influence on foraging decisions (≤11 km), and a potential underlying behavioural mechanism, by revealing how birds respond differently to vessels depending on gear type and activity. Such influences have important implications for fisheries, including the proposed discard ban [8]), and wider marine management

Does adding information on job strain improve risk prediction for coronary heart disease beyond the standard Framingham risk score? The Whitehall II study

Guidelines for coronary heart disease (CHD) prevention recommend using multifactorial risk prediction algorithms, particularly the Framingham risk score. We sought to examine whether adding information on job strain to the Framingham model improves its predictive power in a low-risk working population

The impact of predation by marine mammals on Patagonian toothfish longline fisheries

Predatory interaction of marine mammals with longline fisheries is observed globally, leading to partial or complete loss of the catch and in some parts of the world to considerable financial loss. Depredation can also create additional unrecorded fishing mortality of a stock and has the potential to introduce bias to stock assessments. Here we aim to characterise depredation in the Patagonian toothfish (Dissostichus eleginoides) fishery around South Georgia focusing on the spatio-temporal component of these interactions. Antarctic fur seals (Arctocephalus gazella), sperm whales (Physeter macrocephalus), and orcas (Orcinus orca) frequently feed on fish hooked on longlines around South Georgia. A third of longlines encounter sperm whales, but loss of catch due to sperm whales is insignificant when compared to that due to orcas, which interact with only 5% of longlines but can take more than half of the catch in some cases. Orca depredation around South Georgia is spatially limited and focused in areas of putative migration routes, and the impact is compounded as a result of the fishery also concentrating in those areas at those times. Understanding the seasonal behaviour of orcas and the spatial and temporal distribution of “depredation hot spots” can reduce marine mammal interactions, will improve assessment and management of the stock and contribute to increased operational efficiency of the fishery. Such information is valuable in the effort to resolve the human-mammal conflict for resources