Nutrition and Dietetics Group, Sydney Nursing School, Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Cancer Prevention and Advocacy Division, Cancer Council NSW, Woolloomooloo, NSW, 2011, Australia.
Eur J Nutr. 2022 Oct;61(7):3407-3422. doi: 10.1007/s00394-022-02891-2. Epub 2022 May 6.
This study examined the association of social contexts and food preparation location with the quality of meals and snacks (predominately from the five food groups (FFG) versus discretionary foods) in a sample of young Australian adults (18-30 years old) using wearable camera technology.
A sub-sample from the cross-sectional MYMeals study wore a wearable camera that captured images every 30 s for three consecutive days. Eating episodes from 133 participants (55% female) were classified across 4 domains: food quality (observed proportion of FFG and discretionary items), preparation location, social interaction, and screen use. Socio-economic status (SES) was assigned using residential postcode and gender self-reported. Associations of contexts and demographic factors with food quality stratified by meal type were determined using mixed binary logistic regression models.
Of the 1840 eating episodes identified, 1775 were included in analysis (n = 8 preparation location and n = 57 food components that could not be identified were excluded). Food prepared at home was more likely to be from the FFG at lunch (OR = 4.8 95% CI 2.7-8.6), dinner (OR = 14.8 95% CI 7.6-28.6), and snacks (OR = 3.2 95% CI 2.2-4.8). Participants from higher SES areas were more likely to consume breakfasts (OR = 3.2 95% CI 1.4-7.4) and lunches (OR = 1.9 95% CI 1.0-3.7) predominately from the FFG. Females were more likely to consume lunches (OR = 2.0 95% CI 1.1-3.8) that was largely from the FFG. Social interaction and screen use were not associated with meal or snack quality.
Wearable cameras have verified the importance of addressing meals and snacks prepared outside of home as an important contributor of discretionary food.
本研究使用可穿戴相机技术,考察了社会环境和食物准备地点与年轻澳大利亚成年人(18-30 岁)膳食和零食质量(主要来自五大食物组(FFG)与随意性食物)之间的关系。
来自横断面 MYMeals 研究的一个子样本佩戴了可穿戴相机,该相机每 30 秒拍摄一张连续三天的图像。从 133 名参与者(55%为女性)的 1840 个进食事件中,根据 4 个领域进行分类:食物质量(观察到的 FFG 和随意性食物的比例)、准备地点、社会互动和屏幕使用。社会经济地位(SES)根据居住邮政编码和性别自我报告分配。使用混合二项逻辑回归模型,根据膳食类型确定了环境和人口统计学因素与食物质量的关联。
在确定的 1840 个进食事件中,有 1775 个被纳入分析(n=8 个准备地点和 n=57 个无法识别的食物成分被排除在外)。在家准备的食物更有可能出现在午餐(OR=4.8 95%CI 2.7-8.6)、晚餐(OR=14.8 95%CI 7.6-28.6)和零食(OR=3.2 95%CI 2.2-4.8)中来自 FFG。来自较高 SES 地区的参与者更有可能食用早餐(OR=3.2 95%CI 1.4-7.4)和午餐(OR=1.9 95%CI 1.0-3.7),主要来自 FFG。女性更有可能食用午餐(OR=2.0 95%CI 1.1-3.8),这主要来自 FFG。社会互动和屏幕使用与膳食或零食质量无关。
可穿戴相机已验证,在家以外准备的膳食和零食作为随意性食物的重要来源,这一点非常重要。