2023
DOI: 10.3390/s23187757
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Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review

Haruka Hiraguchi,
Paola Perone,
Alexander Toet
et al.

Abstract: To monitor adherence to diets and to design and evaluate nutritional interventions, it is essential to obtain objective knowledge about eating behavior. In most research, measures of eating behavior are based on self-reporting, such as 24-h recalls, food records (food diaries) and food frequency questionnaires. Self-reporting is prone to inaccuracies due to inaccurate and subjective recall and other biases. Recording behavior using nonobtrusive technology in daily life would overcome this. Here, we provide an … Show more

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Cited by 2 publications
(1 citation statement)
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“…Providing food is beneficial in that it eliminates some of the ambiguity surrounding food classifications, such as whether food is homemade or commercially/industrially made, and can limit the burden of work for the volunteer, who may not need to report details or amounts of food consumed. Providing food also reduces the need for volunteers to self-report their diet, which can be prone to error [ 74 ]. However, RCTs, especially those that provide food (such as the three interventions described below), are difficult to conduct, mostly limited by the cost to conduct the study and/or provide food.…”
Section: Methods For Classifying Upfsmentioning
confidence: 99%
“…Providing food is beneficial in that it eliminates some of the ambiguity surrounding food classifications, such as whether food is homemade or commercially/industrially made, and can limit the burden of work for the volunteer, who may not need to report details or amounts of food consumed. Providing food also reduces the need for volunteers to self-report their diet, which can be prone to error [ 74 ]. However, RCTs, especially those that provide food (such as the three interventions described below), are difficult to conduct, mostly limited by the cost to conduct the study and/or provide food.…”
Section: Methods For Classifying Upfsmentioning
confidence: 99%