Nutrition and Dietetics Group, Charles Perkins Centre, School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia.
Prevention Research Centre, School of Public Health, The University of Sydney, Sydney, NSW, 2006, Australia.
Eur J Nutr. 2021 Jun;60(4):1875-1885. doi: 10.1007/s00394-020-02380-4. Epub 2020 Sep 4.
Young adults are vulnerable to weight gain and dietary behaviours such as 'eating on the run' are likely contributors. The objective of this study was to examine eating and drinking behaviours during transport journeys in a sample of young adults using wearable cameras that take continuous images every 30 s.
Seventy-eight 18-30 year olds wore an Autographer wearable camera for three consecutive days. Image coding schedules were designed to assess physical activity (included transportation) and diet. For the general description of data, frequency analysis was calculated as image number (percentage) and mean (± SD) or median (IQR) when appropriate.
A total of 281,041 images were coded and 32,529 (14%) of images involved transport. The median (IQR) camera wear time was 8 h per day (7-9 h). The camera images identified 52 participants (67%) either eating or drinking during transport (excluding water). A total of 143 eating and drinking occasions were identified, averaging 3 occasions per person over the three study days. Fifty five (38%) eating episodes were identified by the camera images of which 27 (49%) were discretionary and 88 (62%) drinking episodes were identified of which (45%) were discretionary.
This study confirms that transport is a potential setting for intervention. Young adults are consuming discretionary food and beverages during transport which may contribute to energy-dense diets and compromise diet quality. Substituting unhealthy with healthy food advertising and potentially prohibiting eating and drinking whilst on public transport is suggested.
年轻人容易体重增加，而且“边走边吃”等饮食习惯可能是导致体重增加的原因之一。本研究的目的是使用连续 30 秒拍摄一张照片的可穿戴相机，在年轻人群体中观察交通出行过程中的饮食行为。
78 名 18-30 岁的参与者连续 3 天佩戴 Autographer 可穿戴相机。设计图像编码时间表以评估身体活动（包括交通出行）和饮食。对于数据的一般描述，计算图像数量（百分比）和平均值（±SD）或中位数（IQR）。
共对 281041 张图像进行了编码，其中 32529 张（14%）图像涉及交通出行。每天佩戴相机的中位数（IQR）时间为 8 小时（7-9 小时）。相机图像识别出 52 名参与者（67%）在交通出行期间进食或饮水（不包括水）。共识别出 143 次进食和饮水事件，平均每人在 3 天的研究中各有 3 次。其中 55 次（38%）由相机图像识别出的进食事件中，有 27 次（49%）为随意进食，88 次（62%）由相机图像识别出的饮水事件中，有 45%（45%）为随意饮水。
本研究证实交通出行是一个潜在的干预场所。年轻人在交通出行中会摄入随意性的食物和饮料，这可能导致能量密集型饮食，并影响饮食质量。建议用健康食品广告替代不健康食品广告，以及潜在地禁止在公共交通工具上进食和饮水。
