PDF(Pubmed)
Abstract：
Alcohol delivery and to-go sales may contribute to changes in drinking patterns, including where and what people drink. This study tested whether home delivery and to-go alcohol purchases were associated with context- and beverage-specific consumption volumes during the first year of the COVID-19 pandemic after adjusting for pre-pandemic consumption volumes.
Data from a pre-pandemic panel were compared to a during-pandemic panel of the National Alcohol Survey (n = 1,150 adult drinkers, 52.7% female). Outcomes were past-year alcohol consumption volumes in standard drinks (overall, by beverage type, and by location). Independent variables included past-year alcohol delivery and to-go purchases (separately). Covariates comprised baseline beverage- or context-specific volume, demographics, COVID-19 impacts, and drinking motivations. Negative binomial regression tested associations between alcohol purchases and change in overall, beverage-, and context-specific consumption.
On average, respondents who had alcohol delivered (vs. not) reported consuming larger volumes overall (incidence rate ratio [IRR] = 1.58, 95% CI [1.07, 2.32], p = .02), of wine (IRR = 2.90, 95% CI [1.50, 5.63], p < .04), of spirits (IRR = 1.59, 95% CI [1.03, 2.44], p = .04), and at home (IRR = 1.59, 95% CI [1.10, 2.31], p = .01). People who bought alcohol to go (vs. not) reported larger volumes of wine (IRR = 1.41, 95% CI [1.02, 1.96], p = .04), at home (IRR = 1.60, 95% CI [1.10, 2.32], p = .01), and in bars (IRR = 4.55, 95% CI [2.55, 8.11], p < .001). Finally, people who had alcohol delivered reported drinking smaller volumes in bars (IRR = 0.49, 95% CI [0.24, 0.98], p = .04).
During the first year of the pandemic, adults who had alcohol delivered or bought it to go reported larger volumes for several locations and beverage types.
Data from a pre-pandemic panel were compared to a during-pandemic panel of the National Alcohol Survey (n = 1,150 adult drinkers, 52.7% female). Outcomes were past-year alcohol consumption volumes in standard drinks (overall, by beverage type, and by location). Independent variables included past-year alcohol delivery and to-go purchases (separately). Covariates comprised baseline beverage- or context-specific volume, demographics, COVID-19 impacts, and drinking motivations. Negative binomial regression tested associations between alcohol purchases and change in overall, beverage-, and context-specific consumption.
On average, respondents who had alcohol delivered (vs. not) reported consuming larger volumes overall (incidence rate ratio [IRR] = 1.58, 95% CI [1.07, 2.32], p = .02), of wine (IRR = 2.90, 95% CI [1.50, 5.63], p < .04), of spirits (IRR = 1.59, 95% CI [1.03, 2.44], p = .04), and at home (IRR = 1.59, 95% CI [1.10, 2.31], p = .01). People who bought alcohol to go (vs. not) reported larger volumes of wine (IRR = 1.41, 95% CI [1.02, 1.96], p = .04), at home (IRR = 1.60, 95% CI [1.10, 2.32], p = .01), and in bars (IRR = 4.55, 95% CI [2.55, 8.11], p < .001). Finally, people who had alcohol delivered reported drinking smaller volumes in bars (IRR = 0.49, 95% CI [0.24, 0.98], p = .04).
During the first year of the pandemic, adults who had alcohol delivered or bought it to go reported larger volumes for several locations and beverage types.
摘要：
背景：酒精递送和外出销售可能会导致饮酒模式的变化，包括人们在哪里喝什么。这项研究测试了在COVID-19大流行的第一年，在调整大流行前的消费量后，送货上门和外出饮酒购买是否与特定于环境和饮料的消费量相关。
方法：将来自大流行前小组的数据与全国酒精调查的大流行期间小组进行了比较（n=1,150名成年饮酒者，52.7%女性)。结果是过去一年标准饮料的饮酒量(总体而言，按饮料类型，和位置)。独立变量包括过去一年的酒精交付和外出购买(单独)。协变量包括基线参考或上下文特定的体积，人口统计，COVID-19的影响，和饮酒动机。负二项回归测试了酒精购买量与总体变化之间的关联，beverage-,和特定于环境的消费。
结果：平均而言，提供酒精的受访者(与不)报告总体消费量较大(IRR=1.58，95%CI：1.07，2.32，p=0.02)，葡萄酒（IRR=2.90，95%CI：1.50，5.63，p<0.01），烈性酒(内部收益率=1.59，95%CI：1.03，2.44，p=0.04)，在家（IRR=1.59，95%CI：1.10，2.31，p=0.01）。购买酒精的人（与不)报告了更多的葡萄酒(IRR=1.41，95%CI：1.02，1.96，p=0.04)，在家中（IRR=1.60，95%CI：1.10，2.32，p=0.01）和酒吧（IRR=4.55，95%CI：2.55，8.11，p<0.001）。最后,饮酒人群报告酒吧饮酒量较少(IRR=0.49,95%CI:0.24,0.98,p=0.04).
结论：在大流行的第一年，提供酒精或购买酒精的成年人报告说，在几个地方和饮料类型中，酒精的数量较大。
方法：将来自大流行前小组的数据与全国酒精调查的大流行期间小组进行了比较（n=1,150名成年饮酒者，52.7%女性)。结果是过去一年标准饮料的饮酒量(总体而言，按饮料类型，和位置)。独立变量包括过去一年的酒精交付和外出购买(单独)。协变量包括基线参考或上下文特定的体积，人口统计，COVID-19的影响，和饮酒动机。负二项回归测试了酒精购买量与总体变化之间的关联，beverage-,和特定于环境的消费。
结果：平均而言，提供酒精的受访者(与不)报告总体消费量较大(IRR=1.58，95%CI：1.07，2.32，p=0.02)，葡萄酒（IRR=2.90，95%CI：1.50，5.63，p<0.01），烈性酒(内部收益率=1.59，95%CI：1.03，2.44，p=0.04)，在家（IRR=1.59，95%CI：1.10，2.31，p=0.01）。购买酒精的人（与不)报告了更多的葡萄酒(IRR=1.41，95%CI：1.02，1.96，p=0.04)，在家中（IRR=1.60，95%CI：1.10，2.32，p=0.01）和酒吧（IRR=4.55，95%CI：2.55，8.11，p<0.001）。最后,饮酒人群报告酒吧饮酒量较少(IRR=0.49,95%CI:0.24,0.98,p=0.04).
结论：在大流行的第一年，提供酒精或购买酒精的成年人报告说，在几个地方和饮料类型中，酒精的数量较大。
