ArticleInternational journal of health policy and management2020
A Systems Thinking Approach to Inform Coherent Policy Action for NCD Prevention Comment on "How Neoliberalism Is Shaping the Supply of Unhealthy Commodities and What This Means for NCD Prevention".
Article in International journal of health policy and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Reviewing ecosystems of evidence: synthesising the evidence on the commercial determinants of health from a complex systems perspective.Systematic reviews · 2026Article
- Complex Interventions for a Complex System? Using Systems Thinking to Explore Ways to Address Unhealthy Commodity Industry Influence on Public Health Policy.International journal of health policy and management · 2024Article
- Building a Systems Map: Applying Systems Thinking to Unhealthy Commodity Industry Influence on Public Health Policy.International journal of health policy and management · 2024Article
- Using System Dynamics to Understand Transnational Corporate Power in Diet-Related Non-communicable Disease Prevention Policy-Making: A Case Study of South Africa.International journal of health policy and management · 2023Article
- The politics of agricultural policy and nutrition: A case study of Malawi's Farm Input Subsidy Programme (FISP).PLOS global public health · 2023Article
- Taking on the Corporate Determinants of Ill-health and Health Inequity: A Scoping Review of Actions to Address Excessive Corporate Power to Protect and Promote the Public's Health.International journal of health policy and management · 2023Article
- Addressing Malnutrition: The Importance of Political Economy Analysis of Power.International journal of health policy and management · 2021Review
- Understanding obesity-related behaviors in youth from a systems dynamics perspective: The use of causal loop diagrams.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021Review
- Power and the commercial determinants of health: ideas for a research agenda.BMJ global health · 2021Article
- Developing a Research Agenda for the Analysis of Product Supply: A Response to the Recent Commentaries.International journal of health policy and management · 2020Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lencucha and Thow tackle the enormous public health challenge of developing non-communicable disease (NCD) policy coherence within a world structured and ruled by neoliberalism. Their work compliments scholarship on other causal mechanisms, including the commercial determinants of health, that have contributed to creating the risk commodity environment and barriers to NCD prevention policy coherence. However, there remain significant gaps in the understanding of how these causal mechanisms interact within a whole system. As such, public health researchers' suggestions for how to effectively prevent NCDs through addressing the risk commodity environment tend to remain fragmented, incomplete and piecemeal. We suggest this is, in part, because conventional policy analysis methods tend to be reductionist, considering causal mechanisms in relative isolation and conceptualizing them as linear chains of cause and effect. This commentary discusses how a systems thinking approach offers methods that could help with better understanding the risk commodity environment problem, identifying a more comprehensive set of effective solutions across sectors and its utility more broadly for gaining insight into how to ensure recommended solutions are translated into policy, including though transformation at the paradigmatic level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.