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Abstract：
To describe the grocery shopping patterns of people who shopped both online and in-store and evaluate whether shoppers purchased fewer unhealthy, impulse-sensitive items online.
Secondary analysis of 44 weeks of grocery transaction data collected for fruit and vegetable incentive trials in 2 Maine supermarkets.
A total of 137 primary household shoppers who shopped at least once in-store and online (curbside pickup) for 5,573 total transactions MAIN OUTCOME MEASURES AND ANALYSIS: Paired t tests and descriptive analyses compared online and in-store transactions with respect to frequency, total spending, number of items purchased, and spending on 10 food groups and 34 subgroups. Mixed-effects regression models estimated differences in online vs in-store spending on 5 unhealthy, impulse-sensitive subgroups.
When shopping online, participants spent 44% more per transaction ($113.58 vs $78.88, P < 0.001) and purchased more items (38.3 vs 26.6 items/transaction, P < 0.001). Compared with in-store, shopping online was associated with reduced spending per transaction on candy (-$0.65, P < 0.001), cold or frozen desserts (-$0.52, P < 0.001), and grain-based desserts (-$1.29, P < 0.001).
Online shopping was associated with lower spending on certain unhealthy, impulse-sensitive foods. Grocery-based healthy eating initiatives might leverage online ordering platforms to increase their reach and effectiveness.
Secondary analysis of 44 weeks of grocery transaction data collected for fruit and vegetable incentive trials in 2 Maine supermarkets.
A total of 137 primary household shoppers who shopped at least once in-store and online (curbside pickup) for 5,573 total transactions MAIN OUTCOME MEASURES AND ANALYSIS: Paired t tests and descriptive analyses compared online and in-store transactions with respect to frequency, total spending, number of items purchased, and spending on 10 food groups and 34 subgroups. Mixed-effects regression models estimated differences in online vs in-store spending on 5 unhealthy, impulse-sensitive subgroups.
When shopping online, participants spent 44% more per transaction ($113.58 vs $78.88, P < 0.001) and purchased more items (38.3 vs 26.6 items/transaction, P < 0.001). Compared with in-store, shopping online was associated with reduced spending per transaction on candy (-$0.65, P < 0.001), cold or frozen desserts (-$0.52, P < 0.001), and grain-based desserts (-$1.29, P < 0.001).
Online shopping was associated with lower spending on certain unhealthy, impulse-sensitive foods. Grocery-based healthy eating initiatives might leverage online ordering platforms to increase their reach and effectiveness.
摘要：
描述在线和店内购物的人的杂货店购物模式，并评估购物者是否购买了更少的不健康食品，在线的冲动敏感项目。
对2家缅因州超市水果和蔬菜激励试验收集的44周杂货交易数据进行二次分析。
共有137名主要家庭购物者至少在店内和网上购物一次（路边提货），总交易5,573笔主要结果指标和分析：配对t检验和描述性分析比较了在线和店内交易的频率，总支出,购买的物品数量，以及在10个食物组和34个小组上的支出。混合效应回归模型估计了5种不健康的在线支出与店内支出的差异，冲动敏感子群。
在网上购物时，参与者每笔交易花费增加44%(113.58美元vs78.88美元，P<0.001)，购买更多物品(38.3vs26.6物品/交易，P<0.001)。与店内相比，网上购物与每笔糖果交易支出减少相关(-0.65美元，P<0.001)，冷或冷冻甜点（-$0.52，P<0.001），和谷物甜点（-1.29美元，P<0.001）。
网上购物与某些不健康的支出减少有关，冲动敏感的食物。基于杂货的健康饮食计划可能会利用在线订购平台来提高其覆盖范围和有效性。
对2家缅因州超市水果和蔬菜激励试验收集的44周杂货交易数据进行二次分析。
共有137名主要家庭购物者至少在店内和网上购物一次（路边提货），总交易5,573笔主要结果指标和分析：配对t检验和描述性分析比较了在线和店内交易的频率，总支出,购买的物品数量，以及在10个食物组和34个小组上的支出。混合效应回归模型估计了5种不健康的在线支出与店内支出的差异，冲动敏感子群。
在网上购物时，参与者每笔交易花费增加44%(113.58美元vs78.88美元，P<0.001)，购买更多物品(38.3vs26.6物品/交易，P<0.001)。与店内相比，网上购物与每笔糖果交易支出减少相关(-0.65美元，P<0.001)，冷或冷冻甜点（-$0.52，P<0.001），和谷物甜点（-1.29美元，P<0.001）。
网上购物与某些不健康的支出减少有关，冲动敏感的食物。基于杂货的健康饮食计划可能会利用在线订购平台来提高其覆盖范围和有效性。
