Global Obesity Centre, Centre for Population Health Research School of Health & Social Development, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125, Australia.
Office of the Director General, Ministry of Health Samoa, Motootua, Ifiifi Street, Apia, Samoa.
Health Promot Int. 2019 Dec 1;34(6):e94-e105. doi: 10.1093/heapro/day089.
The objective of this study was to develop a transparent system for defining 'less healthy' foods to underpin effective policy to reduce noncommunicable diseases in Samoa, replacing a fatty-meat ban lifted for accession to the WTO. In the absence of nutrition survey data, we calculated nutrient availability using food acquisition data from Samoa's Household Income and Expenditure Surveys. Together with published literature and local food composition data, we identified foods and nutrients (i) consumed in amounts greater than those recommended for good health and (ii) with a demonstrated causal link to health conditions of concern. Nutrient thresholds were developed based on desired level of decrease per nutrient per person necessary to reduce population intake in line with specific targets. We found average energy and sodium consumption to be higher than recommended, and foods high in sugar and saturated fat being consumed in large amounts. We selected a threshold-based, category-specific model to provide straightforward policy administration and incentivise healthy production and import, and then applied and tested nutrient thresholds across 7 threshold groups. The validation process indicated that the development of a nutrient profiling system to identify less healthy food items in Samoa provided a stronger basis for local policymaking. This study contributes to global understanding of approaches to developing a robust and transparent basis for policies to improve diets in lower income countries, and is relevant to other settings with high rates of noncommunicable diseases and similar resource and data constraints.
本研究旨在建立一个透明的系统,以界定“不太健康”的食品,为萨摩亚减少非传染性疾病的有效政策提供依据,取代为加入世界贸易组织(WTO)而取消的含脂肉类禁令。由于缺乏营养调查数据,我们使用来自萨摩亚家庭收入和支出调查的食物获取数据来计算营养素的可获得性。结合已发表的文献和当地的食物成分数据,我们确定了(i)摄入量超过健康所需的食物和营养素,以及(ii)与关注的健康状况有因果关系的食物和营养素。根据降低特定营养素每个人所需的特定目标水平,确定了营养素阈值。我们发现,平均能量和钠的摄入量高于建议量,且高糖和饱和脂肪的食物摄入量很大。我们选择了基于阈值的、特定类别的模型,以提供简单的政策管理,并激励健康生产和进口,然后在 7 个阈值组中应用和测试营养素阈值。验证过程表明,在萨摩亚开发一种营养成分分析系统来识别不太健康的食品,为当地的决策制定提供了更坚实的基础。本研究有助于全球了解为改善低收入国家的饮食制定稳健和透明政策基础的方法,并且与其他非传染性疾病发病率高且资源和数据有限的环境相关。