The potential impact of policies and structural interventions in reducing cardiovascular disease and mortality: a systematic review of simulation-based studies.

Background: The aim of the study was to investigate the potential effect of different structural interventions for preventing cardiovascular disease. Methods: Medline and EMBASE were searched for peer-reviewed simulation-based studies of structural interventions for prevention of cardiovascular disease. We performed a systematic narrative synthesis. Results: A total of 54 studies met the inclusion criteria. Diet, nutrition, tobacco and alcohol control and other programmes are among the policy simulation models explored. Food tax and subsidies, healthy food and lifestyles policies, palm oil tax, processed meat tax, reduction in ultra-processed foods, supplementary nutrition assistance programmes, stricter food policy and subsidised community-supported agriculture were among the diet and nutrition initiatives. Initiatives to reduce tobacco and alcohol use included a smoking ban, a national tobacco control initiative and a tax on alcohol. Others included the NHS Health Check, WHO 25 × 25 and air quality management policy. Future work and limitations: There is significant heterogeneity in simulation models, making comparisons of output data impossible. While policy interventions typically include a variety of strategies, none of the models considered possible interrelationships between multiple policies or potential interactions. Research that investigates dose-response interactions between numerous modifications as well as longer-term clinical outcomes can help us better understand the potential impact of policy-level interventions. Conclusions: The reviewed studies underscore the potential of structural interventions in addressing cardiovascular diseases. Notably, interventions in areas such as diet, tobacco, and alcohol control demonstrate a prospective decrease in cardiovascular incidents. However, to realize the full potential of such interventions, there is a pressing need for models that consider the interplay and cumulative impacts of multiple policies. Rigorous research into holistic and interconnected interventions will pave the way for more effective policy strategies in the future. Study registration: The study is registered as PROSPERO CRD42019154836. Funding: This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number 17/148/05.

This study aimed to explore the potential effects of various policy changes on the prevention of heart disease. By searching two large medical databases, we identified studies that employed computer models to estimate the impact of these policies on heart disease rates. In total, 54 studies matched our criteria. These studies considered a diverse range of policy interventions. Some delved into food and nutrition, investigating aspects like unhealthy food taxes, healthy food subsidies, stricter food regulations, and nutritional assistance programs. Others examined the impact of policies targeting tobacco and alcohol, encompassing smoking bans, nationwide tobacco control measures, and alcohol taxation. Further policies assessed included routine health checkups, global health goals, and measures to enhance air quality. One significant challenge lies in the varied approaches and models each study employed, making direct comparisons difficult. Furthermore, there's a gap in understanding how these policies might influence one another, as the studies did not consider potential interactions between them. While these policies show promise in the computer models, more comprehensive research is needed to fully appreciate their combined and long-term effects on heart health in real-world scenarios. As of now, we recognize the potential of these interventions, but further studies will determine their true impact on reducing heart disease rates.

Gender norms and women's empowerment as barriers to facility birth: A population-based cross-sectional study in 26 Nigerian states using the World Values Survey.

BACKGROUND: Central and western Africa struggle with the world's lowest regional proportion of facility birth at 57%. The aim of the current study was to compare beliefs related to maternal health care services, science/technology, gender norms, and empowerment in states with high vs. low proportions of facility birth in Nigeria. METHODS: Face-to-face interviews were performed as part of a nationally representative survey in Nigeria using a new module to measure values and beliefs related to gender and sexual and reproductive health and rights collected as part the 2018 World Values Survey. We compared beliefs related to maternal health care services, science/technology, gender norms, and empowerment between Nigerian states with facility birth proportions > 50% vs. < 25% as presented in the 2018 Nigerian Demographic Health Survey report. Pearson's chi-squared test, the independent t-test, and univariable and multivariable logistic and linear regression were used for analyses. Results were also stratified by gender. RESULTS: Among the 1,273 participants interviewed, 653 resided in states with high and 360 resided in states with low proportions of facility birth. There were no significant differences between the groups in perceived safety of facility birth (96% vs. 94%) and confidence in antenatal care (91% vs 94%). However, in states with low proportions of facility birth, participants had higher confidence in traditional birth attendants (61% vs. 39%, adjusted odds ratio [aOR] 2.1, [1.5-2.8]), men were more often perceived as the ones deciding whether a woman should give birth at a clinic (56% vs. 29%, aOR 2.4 [1.8-3.3]), and participants experienced less freedom over their own lives (56% vs. 72%, aOR 0.56 [0.41-0.76]). Most differences in responses between men and women were not statistically significant. CONCLUSIONS: In order to increase facility births in Nigeria and other similar contexts, transforming gender norms and increasing women's empowerment is key.

Association between vitamin D supplementation or serum vitamin D level and susceptibility to SARS-CoV-2 infection or COVID-19 including clinical course, morbidity and mortality outcomes? A systematic review.

OBJECTIVE: To systemically review and critically appraise published studies of the association between vitamin D supplementation or serum vitamin D level and susceptibility to SARS-CoV-2 infection or COVID-19, including clinical course, morbidity and mortality outcomes. DESIGN: Systematic review. DATA SOURCES: MEDLINE (OVID), Embase (OVID), Cochrane Central Register of Controlled Trials, MedRxiv and BioRxiv preprint databases. COVID-19 databases of the WHO, Cochrane, CEBM Oxford and Bern University up to 10 June 2020. STUDY SELECTION: Studies that assessed vitamin D supplementation and/or low serum vitamin D in patients acutely ill with, or at risk of, severe betacoronavirus infection (SARS-CoV, MERS-CoV, SARS-CoV-2). DATA EXTRACTION: Two authors independently extracted data using a predefined data extraction form and assessed risk of bias using the Downs and Black Quality Assessment Checklist. RESULTS: Searches elicited 449 papers, 59 studies were eligible full-text assessment and 4 met the eligibility criteria of this review. The four studies were narratively synthesised and included (1) a cross-sectional study (n=107) suggesting an inverse association between serum vitamin D and SARS-CoV-2; (2) a retrospective cohort study (348 598 participants, 449 cases) in which univariable analysis showed that vitamin D protects against COVID-19; (3) an ecological country level study demonstrating a negative correlation between vitamin D and COVID-19 case numbers and mortality; and (4) a case-control survey (n=1486) showing cases with confirmed/probable COVID-19 reported lower vitamin D supplementation. All studies were at high/unclear risk of bias. CONCLUSION: There is no robust evidence of a negative association between vitamin D and COVID-19. No relevant randomised controlled trials were identified and there is no robust peer-reviewed published evidence of association between vitamin D levels and severity of symptoms or mortality due to COVID-19. Guideline producers should acknowledge that benefits of vitamin D supplementation in COVID-19 are as yet unproven despite increasing interest.

Determining optimal strategies for primary prevention of cardiovascular disease: systematic review, cost-effectiveness review and network meta-analysis protocol.

BACKGROUND: Despite recent improvements in the burden of cardiovascular disease (CVD) in the UK, deaths from CVD are relatively high compared with other high-income countries. An estimated 7 million people in the UK are living with CVD, and the healthcare cost is approximately £11 billion annually. In more than 90% of cases, the risk of a first heart attack is thought to be related to modifiable risk factors including smoking, poor diet, lipidemia, high blood pressure, inactivity, obesity and excess alcohol consumption. The aim of the study is to synthesise evidence for the comparative effectiveness and cost-effectiveness of different interventions for the primary prevention of CVD. METHODS: We will systematically search databases (for example, MEDLINE (Ovid), Embase (Ovid), Cochrane Library) and the reference lists of previous systematic reviews for randomised controlled trials that assess the effectiveness and cost-effectiveness of any form of intervention aimed at adult populations for the primary prevention of CVD, including but not limited to lipid lowering medications, blood pressure lowering medications, antiplatelet agents, nutritional supplements, dietary interventions, health promotion programmes, physical activity interventions or structural and policy interventions. Interventions may or may not be targeted at high-risk groups. Publications from any year will be considered for inclusion. The primary outcome will be all cause mortality. Secondary outcomes will be cardiovascular diseases related mortality, major cardiovascular events, coronary heart disease, incremental costs per quality-adjusted life years gained. If data permits, we will use network meta-analysis to compare and rank effectiveness of different interventions, and test effect modification of intervention effectiveness using subgroup analyses and meta-regression analyses. DISCUSSION: The results will be important for policymakers when making decisions between multiple possible alternative strategies to prevent CVD. Compared to results from existing multiple separate pairwise meta-analyses, this overarching synthesis of all relevant work will enhance decision-making. The findings will be crucial to inform evidence-based priorities and guidelines for policies and planning prevention strategies of CVD. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42019123940.