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实时追踪零食摄入:是时候关注个性化行为模式了。

Tracking snacking in real time: Time to look at individualised patterns of behaviour.

作者信息

Allan Julia, McMinn David, Powell Daniel

机构信息

Institute of Applied Health Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.

Rowett Institute, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, UK.

出版信息

Nutr Health. 2019 Sep;25(3):179-184. doi: 10.1177/0260106019866099. Epub 2019 Jul 26.

DOI:10.1177/0260106019866099
PMID:31347450
Abstract

BACKGROUND

Identifying when and where people overeat is important for intervention design, yet little is known about how unhealthy behaviours unfold in real life.

AIM

To track the activities, social contexts and locations that co-occur with unhealthy snacking.

METHODS

Sixty-four adults (49F, mean age = 38.6 years) used electronic diaries to record snacking, location, social context and current activity every waking hour over 7 days. The proportion of snacking episodes that co-occurred with each location/activity/context was calculated by group and individual.

RESULTS

Over the group, snacking was most frequent whilst socialising (19.9% of hours spent socialising) or using the TV/computer (19.7%), when with friends (16.7%) and when at home (15.3%). All intra-class correlation statistics for cued behaviour were low, indicating the importance of within-person variability. There were marked individual differences between people in what constituted a 'typical' context for snacking.

CONCLUSIONS

People show substantial differences in the contexts in which they snack. Tailoring interventions to these individual patterns of behaviour may improve intervention efficacy.

摘要

背景

确定人们何时何地会暴饮暴食对于干预措施的设计很重要,但对于不健康行为在现实生活中是如何发生的,我们知之甚少。

目的

追踪与不健康吃零食同时发生的活动、社交环境和地点。

方法

64名成年人(49名女性,平均年龄 = 38.6岁)使用电子日记记录7天内每一个清醒小时的吃零食情况、地点、社交环境和当前活动。按组和个人计算与每个地点/活动/环境同时发生的吃零食事件的比例。

结果

在整个组中,吃零食最频繁的时候是社交时(社交时间的19.9%)或使用电视/电脑时(19.7%),与朋友在一起时(16.7%)以及在家时(15.3%)。所有提示行为的组内相关统计数据都很低,表明个体差异的重要性。人们在构成“典型”吃零食环境的因素方面存在显著的个体差异。

结论

人们在吃零食的环境方面存在很大差异。根据这些个体行为模式调整干预措施可能会提高干预效果。

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