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墨西哥与冠状病毒病大流行相关的食品和饮料购买变化。

Changes in Food and Beverage Purchases Associated With the Coronavirus Disease Pandemic in Mexico.

出版信息

J Acad Nutr Diet. 2024 Apr;124(4):521-530.e4. doi: 10.1016/j.jand.2023.07.026. Epub 2023 Aug 2.

Abstract

BACKGROUND

Public policies to contain the spread of coronavirus disease in Mexico could have had an effect on food purchase patterns.

OBJECTIVE

The objective of the study was to assess changes in the quantity of food and beverages purchased and proportion spent on food consumed away from home during the coronavirus disease pandemic in Mexican households.

DESIGN

This study is a secondary analysis of cross-sectional data from the National Household Income and Expenditure Survey 2014-2020.

PARTICIPANTS/SETTING: The study included 234,631 households with information on food and beverages purchases from 2014 to 2020.

MAIN OUTCOME MEASURES

Food and beverage purchases were classified into six categories: basic, nonbasic energy-dense foods, prepared food for consumption at home, water, milk, and sugar-sweetened beverages. In the National Household Income and Expenditure Survey 2014-2020, expenditures on food and beverages consumed away from home are not classified into any specific items but represents more than 10% of food and beverage expenditures; therefore, the analyses included the proportion of food and beverage expenditures spent on food consumed away from home.

STATISTICAL ANALYSES PERFORMED

A two-part model was used to evaluate changes in the quantity of food purchased and the proportion spent away from home during the coronavirus disease pandemic in 2020 compared with 2018, adjusting for socio-demographic variables, gross domestic product and previous survey rounds. Results are presented at the national level, by income quintile and by place of residence.

RESULTS

Purchases of basic food increased by 17 g/capita/day at the national level and 22.4 g/capita/day in urban areas (P < 0.001). Purchases of nonbasic energy-dense foods decreased both at the national level (-4.2 g/capita/day; P < 0.001) and by place of residence (-4.8 g/capita/day; P < 0.001 in urban areas and -2.5 g/capita/day; P = 0.001 in rural settings). Purchases of prepared food increased 16 g/capita/day (P < 0.001). In rural areas, purchases of sugar-sweetened beverages increased 7.2 mL/per capita/day (P < 0.001). For the lowest income quintile purchases of processed meat increased 2.4 g/capita/day (P < 0.001). The proportion spent on food consumed away from home decreased by -44.9% (P < 0.001).

CONCLUSIONS

Results of this study show that during the coronavirus disease lockdown there was an increase in basic and prepared food purchases, whereas purchases of nonbasic energy-dense foods and the proportion spent on food consumed away from home decreased. However, findings showed an increase in sugar-sweetened beverages purchases among rural dwellers and an increase in purchases of processed meat among the lowest income quintile. Various factors such as income reductions, unemployment, mobility restrictions, or increases in prices may have led the observed changes. Future research should be conducted to analyze these potential pathways.

摘要

背景

墨西哥控制新冠病毒传播的公共政策可能对食品购买模式产生了影响。

目的

本研究旨在评估新冠疫情期间墨西哥家庭购买的食品和饮料数量以及在家外消费的食品支出比例的变化。

设计

本研究是对 2014-2020 年全国家庭收入和支出调查的横断面数据进行的二次分析。

参与者/设置:该研究纳入了 2014 年至 2020 年有食品和饮料购买信息的 234631 户家庭。

主要观察指标

食品和饮料购买分为六类:基本食品、非基本能量密集型食品、在家消费的准备食品、水、牛奶和含糖饮料。在 2014-2020 年全国家庭收入和支出调查中,在家外消费的食品和饮料支出没有归入任何特定项目,但占食品和饮料支出的 10%以上;因此,分析包括在家外消费的食品和饮料支出中用于食品的比例。

统计学分析

使用两部分模型评估了与 2018 年相比,2020 年新冠疫情期间购买量和在家外消费比例的变化,调整了社会人口统计学变量、国内生产总值和以前的调查轮次。结果在国家层面、收入五分位数和居住地进行呈现。

结果

全国范围内基本食品的购买量增加了 17 克/人/天,城市地区增加了 22.4 克/人/天(均 P < 0.001)。非基本能量密集型食品的购买量在全国范围内(-4.2 克/人/天;P < 0.001)和居住地(-4.8 克/人/天;P < 0.001 城市地区和-2.5 克/人/天;P=0.001 农村地区)均有所下降。准备食品的购买量增加了 16 克/人/天(P < 0.001)。在农村地区,含糖饮料的购买量增加了 7.2 毫升/人/天(P < 0.001)。对于收入最低的五分位数,加工肉类的购买量增加了 2.4 克/人/天(P < 0.001)。在家外消费的食品支出比例下降了-44.9%(P < 0.001)。

结论

本研究结果表明,在新冠疫情封锁期间,基本食品和准备食品的购买量有所增加,而非基本能量密集型食品的购买量和在家外消费的食品支出比例有所下降。然而,研究结果显示,农村居民的含糖饮料购买量增加,而收入最低五分位数的加工肉类购买量增加。收入减少、失业、流动性限制或价格上涨等各种因素可能导致了观察到的变化。未来的研究应分析这些潜在的途径。

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