Biomathematics & Statistics Scotland, Aberdeen, UK.
Life Course and Population Health, The Rowett Institute, University of Aberdeen, Aberdeen, UK.
Appetite. 2019 Jul 1;138:1-9. doi: 10.1016/j.appet.2019.03.007. Epub 2019 Mar 9.
The amount of meat consumed is having a negative impact on both health and the environment. This study investigated the probability of eating meat and the amount eaten at a meal within different social, temporal and situational contexts. Dietary intake data from 4-day diet diaries of adults (19 years and above) taken from the UK National Diet and Nutrition Survey (2008/9-2013/14) were used for the analysis. Individual eating occasions were identified and the effects of where the food was eaten, with whom, day of the week, age and gender on the probability of eating meat and amount of meat eaten were modelled using general linear mixed models. Each factor showed distinctive effects on the probability of eating meat and the amount consumed. The amount of meat eaten was greater when eating with family members compared to when alone or with other companions. Both the probability and amount of meat eaten in a single eating occasion were higher on Sundays compared to the rest of the week. Eating out (e.g. restaurants/cafes) increased the probability of consuming meat and the amount compared to other situations (e.g. home, work). When considering the factors influencing meat consumption, attention must be paid to the effects of social, temporal, and situational factors as they all work to shape consumption behaviour. This information should be used in the design of interventions and development of policies for the most effective way to reduce meat consumption.
肉类摄入量对健康和环境都有负面影响。本研究调查了不同社会、时间和情境背景下人们吃肉的概率和每餐吃肉的量。分析使用了来自英国国家饮食与营养调查(2008/9-2013/14 年)中成年人(19 岁及以上)为期 4 天的饮食日记中的饮食摄入数据。通过一般线性混合模型,确定个体进食时刻,并分析食物的食用地点、与谁一起用餐、一周中的哪一天、年龄和性别对吃肉概率和吃肉量的影响。每个因素对吃肉概率和吃肉量都有独特的影响。与家人一起用餐时吃肉的量比独自用餐或与其他同伴一起用餐时更多。与一周中的其他日子相比,周日单次进食时吃肉的概率和量都更高。外出就餐(例如餐厅/咖啡馆)比其他情况(例如在家、工作)更能增加吃肉的概率和量。在考虑影响肉类消费的因素时,必须注意社会、时间和情境因素的影响,因为它们都在影响消费行为。这些信息应在设计干预措施和制定政策时加以利用,以找到最有效的减少肉类消费的方法。