Faculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, NSW, 2042, Australia.
Department of Epidemiology and Biostatistics, Faculty of Medicine, School of Public Health, Imperial College London, London, SW7 2AZ, UK.
Int J Behav Nutr Phys Act. 2022 Dec 12;19(1):148. doi: 10.1186/s12966-022-01389-8.
Consumption of ultra-processed foods is associated with increased risk of obesity and non-communicable diseases. Little is known about current patterns of ultra-processed foods intake in Australia. The aim of this study was to examine the amount and type of ultra-processed foods purchased by Australian households in 2019 and determine whether purchases differed by socio-economic status (SES). We also assessed whether purchases of ultra-processed foods changed between 2015 and 2019. METHODS: We used grocery purchase data from a nationally representative consumer panel in Australia to assess packaged and unpackaged grocery purchases that were brought home between 2015 to 2019. Ultra-processed foods were identified according to the NOVA system, which classifies foods according to the nature, extent and purpose of industrial food processing. Purchases of ultra-processed foods were calculated per capita, using two outcomes: grams/day and percent of total energy. The top food categories contributing to purchases of ultra-processed foods in 2019 were identified, and differences in ultra-processed food purchases by SES (Index of Relative Social Advantage and Disadvantage) were assessed using survey-weighted linear regression. Changes in purchases of ultra-processed foods between 2015 to 2019 were examined overall and by SES using mixed linear models.
In 2019, the mean ± SD total grocery purchases made by Australian households was 881.1 ± 511.9 g/d per capita. Of this, 424.2 ± 319.0 g/d per capita was attributable to purchases of ultra-processed foods, which represented 56.4% of total energy purchased. The largest food categories contributing to total energy purchased included mass-produced, packaged breads (8.2% of total energy purchased), chocolate and sweets (5.7%), biscuits and crackers (5.7%) and ice-cream and edible ices (4.3%). In 2019, purchases of ultra-processed foods were significantly higher for the lowest SES households compared to all other SES quintiles (P < 0.001). There were no major changes in purchases of ultra-processed foods overall or by SES over the five-year period.
Between 2015 and 2019, ultra-processed foods have consistently made up the majority of groceries purchased by Australians, particularly for the lowest SES households. Policies that reduce ultra-processed food consumption may reduce diet-related health inequalities.
消费超加工食品与肥胖和非传染性疾病风险增加有关。目前,澳大利亚超加工食品的摄入模式知之甚少。本研究旨在检查 2019 年澳大利亚家庭购买的超加工食品的数量和类型,并确定购买量是否因社会经济地位 (SES) 而异。我们还评估了 2015 年至 2019 年间超加工食品购买量的变化。
我们使用澳大利亚全国代表性消费者小组的杂货购买数据,评估 2015 年至 2019 年间带回家的包装和未包装的杂货购买情况。根据 NOVA 系统识别超加工食品,该系统根据工业食品加工的性质、程度和目的对食品进行分类。使用两种结果(克/天和总能量的百分比),按人均计算超加工食品的购买量。确定了 2019 年超加工食品购买量最大的食品类别,并使用调查加权线性回归评估 SES(相对社会优势和劣势指数)差异对超加工食品购买量的影响。使用混合线性模型总体和按 SES 检查 2015 年至 2019 年超加工食品购买量的变化。
2019 年,澳大利亚家庭人均杂货总购买量的平均值±SD 为 881.1±511.9 克/天。其中,424.2±319.0 克/天归因于超加工食品的购买,占总能量购买量的 56.4%。对总能量购买量贡献最大的食品类别包括批量生产的包装面包(占总能量购买量的 8.2%)、巧克力和糖果(5.7%)、饼干和薄脆饼干(5.7%)以及冰淇淋和可食用冰(4.3%)。2019 年,最低 SES 家庭购买的超加工食品明显高于所有其他 SES 五分位数家庭(P<0.001)。在五年期间,超加工食品的购买量总体或按 SES 均无重大变化。
在 2015 年至 2019 年期间,超加工食品一直占澳大利亚人购买食品的大部分,特别是对最低 SES 家庭而言。减少超加工食品消费的政策可能会减少与饮食相关的健康不平等。