Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March-May 2020): results from the French NutriNet-Sante cohort study
Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March-May 2020): results from the French NutriNet-Sante cohort study
复制标题
DOI：
10.1093/ajcn/nqaa336
复制
发表时间：
2021-03-02
影响因子：
7.1
通讯作者：
Touvier, Mathilde
中科院分区：
文献类型：
--
作者：
Deschasaux-Tanguy, Melanie;Druesne-Pecollo, Nathalie;Touvier, Mathilde
背景：自2019年12月以来，冠状病毒病2019(新冠肺炎)一直在稳步传播，导致全球卫生保健系统不堪重负，无数人死亡。为了应对这些结果，包括法国在内的许多国家都实施了严格的封锁措施，要求除必要场所外的所有场所暂时关闭，并对日常生活造成前所未有的干扰。目标：我们的目标是探索新冠肺炎封锁期间饮食摄入量、体力活动、体重和食物供应的潜在变化，以及这些变化根据个人特征的不同。方法：分析包括来自法国网络NutriNet-Sante队列的37,252名成年人，他们于2020年4-5月完成了封锁特定问卷。采用多变量Logistic回归模型研究营养相关变化及其与社会人口学、生活方式和健康状况的相关性。结果：在封锁期间，观察到不利的变化趋势：体力活动减少(53%的参与者报告)，久坐时间增加(63%的参与者报告)，零食增加，新鲜食物(尤其是水果和鱼类)的消费减少，糖果、饼干和蛋糕的消费增加。然而，也观察到了相反的趋势：增加了家庭烹饪(报告增加了40%)和增加了体力活动(报告增加了19%)。此外，35%的参与者体重增加(这些人的平均体重增加1.8公斤+/-SD 1.3公斤)，23%的参与者体重减少(2公斤+/-SD 1.4公斤体重减轻)。所有这些趋势都与不同的个体特征有关。结论：这些结果表明，在封锁期间，与营养相关的变化发生在不利和有利的方向上。观察到的不利变化应在未来封锁的情况下考虑，也应进行监测，以防止与营养相关的疾病负担增加，如果这些饮食/体力活动的变化长期保持的话。了解这些有利的变化可能有助于在更广泛的范围内推广这些变化。
Background: Since December 2019, coronavirus disease 2019 (COVID-19) has been spreading steadily, resulting in overwhelmed health-care systems and numerous deaths worldwide. To counter these outcomes, many countries, including France, put in place strict lockdown measures, requiring the temporary closure of all but essential places and causing an unprecedented disruption of daily life.Objectives: Our objective was to explore potential changes in dietary intake, physical activity, body weight, and food supply during the COVID-19 lockdown and how these differed according to individual characteristics.Methods: The analyses included 37,252 adults from the French web-based NutriNet-Sante cohort who completed lockdown-specific questionnaires in April-May 2020. Nutrition-related changes and their sociodemographic, lifestyle, and health-status correlates were investigated using multivariable logistic regression models. Clusters of participants were defined using an ascending hierarchical classification of change profiles derived from multiple correspondence analyses.Results: During the lockdown, trends of unfavorable changes were observed: decreased physical activity (reported by 53% of the participants), increased sedentary time (reported by 63%), increased snacking, decreased consumption of fresh food (especially fruit and fish), and increased consumption of sweets, cookies, and cakes. Yet, the opposite trends were also observed: increased home cooking (reported by 40%) and increased physical activity (reported by 19%). Additionally, 35% of the participants gained weight (mean weight gain in these individuals, 1.8 kg +/- SD 1.3 kg) and 23% lost weight (2 kg +/- SD 1.4 kg weight loss). All of these trends displayed associations with various individual characteristics.Conclusions: These results suggest that nutrition-related changes occurred during the lockdown in both unfavorable and favorable directions. The observed unfavorable changes should be considered in the event of a future lockdown, and should also be monitored to prevent an increase in the nutrition-related burden of disease, should these diet/physical activity changes be maintained in the long run. Understanding the favorable changes may help extend them on a broader scale.