Associations of sedentary behaviours and incidence of unhealthy diet during the COVID-19 quarantine in Brazil.
Associations of sedentary behaviours and incidence of unhealthy diet during the COVID-19 quarantine in Brazil.
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DOI：
10.1017/s1368980020004188
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发表时间：
2021-03
影响因子：
3.2
通讯作者：
Szwarcwald CL
中科院分区：
文献类型：
--
作者：
Werneck AO;Silva DR;Malta DC;Gomes CS;Souza-Júnior PR;Azevedo LO;Barros MB;Szwarcwald CL
我们的目的是分析在COVID-19大流行期间，电视观看和电脑/平板电脑使用的变化模式与超加工食品消费量增加和水果和蔬菜消费量减少的发生率之间的关联。数据的39 208巴西成年人从行为网络调查。不健康的营养习惯是每周吃水果或蔬菜<5 d，超加工食品（含糖食品、零食、即食冷冻食品和嵌入式食品）≥5 d。至于发病率指标，我们只考虑在隔离前没有不健康行为的参与者。我们创建了四类电视观看和电脑/平板电脑使用的变化，考虑每种行为的4小时/天的截止点（1 -持续低，2 -在隔离期间变得低，3 -在隔离期间变得高或4 -持续高）。对性别、年龄组、最高学业成绩、人均收入、隔离期间的工作状况、肤色和坚持隔离的情况进行了调整。巴西巴西成年人（全国代表）。Logistic回归模型显示，高电视观看率和电脑/平板电脑使用率与超加工食品消费频率升高的几率较高相关（看电视：OR 1·70; 95% CI 1·37，2·12;电脑/平板电脑：OR 1·73; 95% CI 1·31，2·27）和水果和蔬菜摄入量低（看电视：OR 1·70; 95% CI 1·29，2·23;电脑/平板电脑：OR 1·53; 95% CI 1·08，2·17）发病率。持续大量使用电脑/平板电脑也增加了超加工食品消费频率升高的几率。有久坐行为的参与者在COVID-19大流行隔离期间也更有可能出现不健康饮食。
Our aim was to analyse the association of change patterns on TV-viewing and computer/tablet use and incidence of elevated consumption of ultra-processed food consumption and lower consumption of fruits and vegetables during the COVID-19 pandemic. Data of 39 208 Brazilian adults from a Behaviour Web Survey were used. Unhealthy nutrition habits were eating fruits or vegetables for <5 d/week and ultra-processed food (sugary foods, snacks, ready-to-eat frozen foods and embedded foods) for ≥5 d/week. For incidence indicators, we only considered participants without unhealthy behaviour before the quarantine. We created four categories of change in TV-viewing and computer/tablet use, considering a cut-off point of 4 h/d for each behaviour (1 – consistently low, 2 – become low during the quarantine, 3 – become high during the quarantine or 4 – consistently high). Analyses were adjusted for sex, age group, highest academic achievement, per capita income, working status during the quarantine, skin colour and adherence to the quarantine. Brazil. Brazilian adults (nationally representative). Logistic regression models revealed that high TV-viewing and computer/tablet use incidence were associated with higher odds for elevated frequency of ultra-processed food consumption (TV-viewing: OR 1·70; 95 % CI 1·37, 2·12; computer/tablet: OR 1·73; 95 % CI 1·31, 2·27) and low consumption of fruit and vegetables (TV-viewing: OR 1·70; 95 % CI 1·29, 2·23; computer/tablet: OR 1·53; 95 % CI 1·08, 2·17) incidence. Consistent high computer/tablet use also presented higher odds for incidence of elevated frequency of ultra-processed food consumption. Participants with incidence of sedentary behaviours were also more likely to present incidence of unhealthy diet during the COVID-19 pandemic quarantine.