太平洋岛屿存在非传染性疾病危机,不良的饮食是主要的贡献者。COVID-19大流行和由此引发的经济危机可能会进一步加剧粮食系统的负担。太平洋岛国领导人通过了一系列食品政策和法规来改善饮食。这包括有关食品或学校食品政策中盐和糖的成分标准的税收和法规。尽管越来越多的证据表明这种政策在全球范围内是有效的,缺乏有关如何在太平洋地区有效实施这些措施的当地具体情况的证据。
我们为期5年的合作项目将测试政策干预措施的可行性和有效性,以减少斐济和萨摩亚的盐和糖消费,并研究支持持续实施的因素。我们将与斐济和萨摩亚的政府机构和民间社会接触,为了支持设计,实施和监测循证干预措施。具体目标是:(1)开展政策格局分析,了解斐济和萨摩亚的潜在机会和挑战,以加强预防与饮食有关的非传染性疾病的政策;(2)开展重复横断面调查,以衡量饮食摄入量,食物来源和饮食相关的生物标志物;(3)在社区知识交流中使用系统思维(STUCKE),以加强政策的执行,以减少盐和糖的消费;(4)评估影响,实施这些政策的过程和成本效益。将分析有关结果和过程的定量和定性数据,以评估影响和支持未来干预措施的扩大。
该项目将为支持政策制定提供新的证据,以及开发低成本,高科技,可持续,用于监测食物消耗的可扩展系统,食物供应和健康相关结果。
There is a crisis of non-communicable diseases (NCDs) in the Pacific Islands, and poor diets are a major contributor. The COVID-19 pandemic and resulting economic crisis will likely further exacerbate the burden on food systems. Pacific Island leaders have adopted a range of food policies and regulations to improve diets. This includes taxes and regulations on compositional standards for salt and sugar in foods or school food policies. Despite increasing evidence for the effectiveness of such policies globally, there is a lack of local context-specific evidence about how to implement them effectively in the Pacific.
Our 5-year collaborative project will test the feasibility and effectiveness of policy interventions to reduce salt and sugar consumption in Fiji and Samoa, and examine factors that support sustained implementation. We will engage government agencies and civil society in Fiji and Samoa, to support the design, implementation and monitoring of evidence-informed interventions. Specific objectives are to: (1) conduct policy landscape analysis to understand potential opportunities and challenges to strengthen policies for prevention of diet-related NCDs in Fiji and Samoa; (2) conduct repeat cross sectional surveys to measure dietary intake, food sources and diet-related biomarkers; (3) use Systems Thinking in Community Knowledge Exchange (STICKE) to strengthen implementation of policies to reduce salt and sugar consumption; (4) evaluate the impact, process and cost effectiveness of implementing these policies. Quantitative and qualitative data on outcomes and process will be analysed to assess impact and support scale-up of future interventions.
The project will provide new evidence to support policy making, as well as developing a low-cost, high-tech, sustainable, scalable system for monitoring food consumption, the food supply and health-related outcomes.