Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Royal Hospital Campus, Northern Territory.
Centre for Population Health Research, School of Health Sciences, University of South Australia.
Aust N Z J Public Health. 2017 Dec;41(6):598-603. doi: 10.1111/1753-6405.12718. Epub 2017 Oct 18.
We compared self-reported dietary intake from the very remote sample of the National Aboriginal and Torres Strait Islander Nutrition and Physical Activity Survey (VR-NATSINPAS; n=1,363) to one year of food and beverage purchases from 20 very remote Indigenous Australian communities (servicing ∼8,500 individuals).
Differences in food (% energy from food groups) and nutrients were analysed using t-test with unequal variance.
Per-capita energy estimates were not significantly different between the surveys (899 MJ/person/day [95% confidence interval -152,1950] p=0.094). Self-reported intakes of sugar, cereal products/dishes, beverages, fats/oils, milk products/dishes and confectionery were significantly lower than that purchased, while intakes of meat, vegetables, cereal-based dishes, fish, fruit and eggs were significantly higher (p<0.05).
Differences between methods are consistent with differential reporting bias seen in self-reported dietary data. Implications for public health: The NATSINPAS provides valuable, much-needed information about dietary intake; however, self-reported data is prone to energy under-reporting and reporting bias. Purchase data can be used to track population-level food and nutrient availability in this population longitudinally; however, further evidence is needed on approaches to estimate wastage and foods sourced outside the store. There is potential for these data to complement each other to inform nutrition policies and programs in this population.
我们将国家原住民和托雷斯海峡岛民营养和身体活动调查（VR-NATSINPAS；n=1363）中非常偏远样本的自我报告饮食摄入量与 20 个非常偏远的澳大利亚原住民社区（服务约 8500 人）的一年食品和饮料购买情况进行了比较。
使用具有不等方差的 t 检验分析食物（食物组中能量的百分比）和营养素的差异。
两项调查的人均能量估计值无显著差异（899 MJ/人/天[95%置信区间-152,1950]，p=0.094）。自我报告的糖、谷物产品/菜肴、饮料、脂肪/油、奶制品/菜肴和糖果的摄入量明显低于购买量，而肉类、蔬菜、谷物为基础的菜肴、鱼类、水果和鸡蛋的摄入量明显高于购买量（p<0.05）。
两种方法之间的差异与自我报告饮食数据中观察到的差异报告偏差一致。对公共卫生的影响：NATSINPAS 提供了关于饮食摄入的宝贵且非常需要的信息；然而，自我报告的数据容易出现能量低估和报告偏差。购买数据可用于跟踪该人群的食物和营养素在该人群中的纵向供应情况；然而，需要进一步的证据来评估浪费和商店外采购的食物的估算方法。这些数据有可能相互补充，为该人群的营养政策和计划提供信息。
