Mortality improvement: understanding the past and framing the future
Transparency and Best Practices are Essential for ESG Investing
Many investors have shifted their asset allocations to account for Environmental, Social, and Governance (ESG) issues. While we welcome this shift from an ethical perspective, the financial and…
A synthesis of pathways linking diet, metabolic risk and cardiovascular disease: a framework to guide further research and approaches to evidence-based practice.
Presented can aid causal inference studies as they provide a visual representation of the types of studies underlying the associations between potential risk markers/factors for CVD, and may facilitate the selection of variables to be considered and the creation of analytical models.
5 Data-driven action for food systems transformation
There is a necessity for the quality use of data to identify and strengthen high-impact policies and programmes for action on nutrition, which was a key theme of discussion at the NNEdPro Sixth International Summit on Nutrition and Health.
A Resampling Approach For causal Inference On Novel Two-Point Time-Series With Application To Identify Risk Factors For Type-2 Diabetes And Cardiovascular Disease
- Xiaowu Dai, Saad Mouti, Marjorie Rafaela Lima do Vale, S. Ray, Jeffrey L. Bohn, Lisa Goldberg
- Computer Science
- 12 March 2021
It is found that obesity is a significant risk factor of type-2 diabetes and CVD, and an LCD approach can significantly mitigate the risks of T2D andCVD.
Policing the self : Truman Capote and the politics of identity
- Jeffrey L. Bohn
- Political Science
1 Identifying emerging and complex challenges in food and health systems
The idea that ‘Nobody ever just needs food’ highlights that addressing food insecurity and malnutrition requires multisectoral solutions to resolve underlying causes of the problem.