Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study.
Global Changes and Factors of Increase in Caloric/Salty Food Intake, Screen Use, and Substance Use During the Early COVID-19 Containment Phase in the General Population in France: Survey Study.
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DOI：
10.2196/19630
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发表时间：
2020-09-18
影响因子：
8.5
通讯作者：
Franck N
中科院分区：
文献类型：
--
作者：
Rolland B;Haesebaert F;Zante E;Benyamina A;Haesebaert J;Franck N
冠状病毒病（COVID-19）的国际爆发导致许多国家实施严厉的遏制措施。有人认为，这种突然的人群封锁将助长与成瘾相关的习惯，例如高热量/高盐食物摄入、使用屏幕和使用药物。我们的目的是评估法国在COVID-19控制早期阶段的全球变化和成瘾相关习惯增加的因素。在控制的第8天至第13天提供了一项基于网络的调查，有11 391名参与者完成了调查。这些问题探讨了社会人口统计学特征，精神病/成瘾史，锁定的物质条件，一般压力，心理健康以及几种成瘾相关行为的变化。使用人群加权和校正的logistic回归模型描述总体变化，并探索增加的因素，提供校正的比值比（aOR）及其95%置信区间。总体而言，受访者报告成瘾相关习惯的增加多于减少，具体为28.4%（热量/咸食物摄入），64.6%（屏幕使用），35.6%（烟草使用），24.8%（酒精使用）和31.2%（大麻使用）。幸福感得分降低和压力得分增加是成瘾相关习惯增加的一般因素（所有习惯P<0.001）。热量/咸食物摄入量增加的因素（n= 10，771）为女性（aOR 1.62，95% CI 1.48-1.77），年龄小于29岁（P<0.001）有伴侣（aOR 1.19，95% CI 1.06-1.35），被锁定在更密闭的空间中（每减少1平方米/人：aOR 1.02，95% CI 1.01-1.03），单独锁定（aOR 1.29，95% CI 1.11-1.49），并报告当前（aOR 1.94，95% CI 1.62-2.31）或既往（aOR 1.27，95% CI 1.09-1.47）精神病治疗。屏幕使用增加的因素（n= 11，267）为女性（aOR 1.31，95% CI 1.21-1.43），年龄小于29岁（P<0.001）没有伴侣（aOR 1.18，95% CI 1.06-1.32），正在就业（P<.001），中/高等教育水平（P<0.001），被锁起来，无法进入室外空间（aOR 1.16，95%CI 1.05-1.29）、被单独禁闭（aOR 1.15，95%CI 1.01-1.32）、生活在城市环境（P<.01）和没有工作（P<.001）。烟草使用增加的因素（n=2787）是女性（aOR 1.31，95%CI 1.11-1.55），没有伴侣（aOR 1.30，95%CI 1.06-1.59），中/低教育水平（P<.01），仍在工作场所工作（aOR 1.47，95%CI 1.17-1.86）。饮酒增加的因素（n=7108）是年龄30-49岁（P<0.05），高教育水平（P<0.001），目前的精神病治疗（aOR 1.44，95%CI 1.10-1.88）。大麻使用增加的唯一重要因素（n=620）是中等/低教育水平（P<.001）。法国的COVID-19控制早期阶段导致普通人群中与成瘾相关的习惯普遍增加。幸福感下降和压力增加是普遍的增长因素。更具体的因素与每种探索习惯的增加有关。
The international outbreak of coronavirus disease (COVID-19) has led many countries to enforce drastic containment measures. It has been suggested that this abrupt lockdown of populations will foster addiction-related habits such as caloric/salty food intake, screen use, and substance use. Our aim was to assess the global changes and factors of increase in addiction-related habits during the early COVID-19 containment phase in France. A web-based survey was provided from day 8 to day 13 of the containment and was completed by 11,391 participants. The questions explored sociodemographic features, psychiatric/addiction history, material conditions of lockdown, general stress, mental well-being, and reported changes in several addiction-related behaviors. Global changes were described and factors of increase were explored using population-weighted and adjusted logistic regression models, providing adjusted odds ratios (aORs) and their 95% confidence intervals. Overall, the respondents reported more increases in addiction-related habits than decreases, specifically 28.4% (caloric/salty food intake), 64.6% (screen use), 35.6% (tobacco use), 24.8% (alcohol use), and 31.2% (cannabis use). Reduced well-being scores and increased stress scores were general factors of increase in addiction-related habits (P<.001 for all habits). Factors of increase in caloric/salty food intake (n=10,771) were female gender (aOR 1.62, 95% CI 1.48-1.77), age less than 29 years (P<.001), having a partner (aOR 1.19, 95% CI 1.06-1.35), being locked down in a more confined space (per 1 square meter/person decrease: aOR 1.02, 95% CI 1.01-1.03), being locked down alone (aOR 1.29, 95% CI 1.11-1.49), and reporting current (aOR 1.94, 95% CI 1.62-2.31) or past (aOR 1.27, 95% CI 1.09-1.47) psychiatric treatment. Factors of increase in screen use (n=11,267) were female gender (aOR 1.31, 95% CI 1.21-1.43), age less than 29 years (P<.001), having no partner (aOR 1.18, 95% CI 1.06-1.32), being employed (P<.001), intermediate/high education level (P<.001), being locked down with no access to an outdoor space (aOR 1.16, 95% CI 1.05-1.29), being locked down alone (aOR 1.15, 95% CI 1.01-1.32), living in an urban environment (P<.01), and not working (P<.001). Factors of increase in tobacco use (n=2787) were female gender (aOR 1.31, 95% CI 1.11-1.55), having no partner (aOR 1.30, 95% CI 1.06-1.59), intermediate/low education level (P<.01), and still working in the workplace (aOR 1.47, 95% CI 1.17-1.86). Factors of increase in alcohol use (n=7108) were age 30-49 years (P<.05), a high level of education (P<.001), and current psychiatric treatment (aOR 1.44, 95% CI 1.10-1.88). The only significant factor of increase in cannabis use (n=620) was intermediate/low level of education (P<.001). The early phase of COVID-19 containment in France led to widespread increases in addiction-related habits in the general population. Reduced well-being and increased stress were universal factors of increase. More specific factors were associated with increases in each of the explored habits.
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