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食物不安全降低了巴西成年人遵循营养密集型饮食模式的可能性:一项全国性横断面调查的见解。

Food Insecurity Reduces the Chance of Following a Nutrient-Dense Dietary Pattern by Brazilian Adults: Insights from a Nationwide Cross-Sectional Survey.

机构信息

School Feeding Coordination, São Paulo City Hall, Sao Paulo 01069-900, Brazil.

School of Arts, Sciences and Humanities, University of São Paulo, Sao Paulo 03828-000, Brazil.

出版信息

Nutrients. 2022 May 19;14(10):2126. doi: 10.3390/nu14102126.

Abstract

Dietary patterns derived by data-driven techniques are still scarce in the food security context and may be a useful tool to inform policymakers to promote adequate and healthy diets for vulnerable populations. We investigated the association between food security status and dietary patterns among 28,127 Brazilian adults using data from the 2017-2018 Household Budget Survey. Food security status was measured by the Brazilian Food Insecurity Scale. Food items reported in two 24 h dietary recalls were combined into food groups. Dietary patterns were derived from exploratory factor analysis, and participants were grouped according to their factor scores by K-means cluster analysis. Multiple logistic regression models were fitted to investigate the association between food security status and clusters of adherence to dietary patterns. Four dietary patterns were derived: 'Brazilian breakfast style' (cluster 3), 'Brazilian Traditional staple foods' (cluster 2), 'Beverages, ready-to-eat and convenience foods' (cluster 4), and 'Fruits, vegetables, and whole grains' (cluster 1). After adjustments, food insecurity was inversely associated with adherence to the 'Fruits vegetables, and whole grains' pattern (OR = 0.75, 95% CI: 0.63-0.89). Findings suggest food insecurity negatively impact the adoption of a nutrient-dense dietary pattern and highlight the critical role of policy actions in a scenario of increasing food insecurity.

摘要

基于数据驱动技术得出的饮食模式在食品安全背景下仍然很少见,它可能是为政策制定者提供信息的有用工具,以促进弱势群体获得充足和健康的饮食。我们使用 2017-2018 年家庭预算调查的数据,调查了 28127 名巴西成年人的粮食安全状况与饮食模式之间的关系。粮食安全状况通过巴西粮食不安全量表进行衡量。从两次 24 小时膳食回顾中报告的食物被组合成食物组。通过探索性因子分析得出饮食模式,并通过 K-均值聚类分析根据参与者的因子得分将其分组。拟合多因素逻辑回归模型,以调查粮食安全状况与饮食模式一致性聚类之间的关联。得出了四种饮食模式:“巴西早餐风格”(第 3 组)、“巴西传统主食”(第 2 组)、“饮料、即食食品和方便食品”(第 4 组)和“水果、蔬菜和全谷物”(第 1 组)。调整后,粮食不安全与“水果、蔬菜和全谷物”模式的一致性呈负相关(OR=0.75,95%CI:0.63-0.89)。研究结果表明,粮食不安全状况会对营养丰富的饮食模式的采用产生负面影响,并强调了在粮食不安全状况不断加剧的情况下,政策行动的关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ad1/9143026/6183029f7cff/nutrients-14-02126-g001.jpg

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