Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study

Abstract Background Traditional recall approaches of data collection for assessing dietary intake and time use are prone to recall bias. Studies in high- and middle-income countries show that automated wearable cameras are a promising method for collecting objective health behavior data and may impr...

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Bibliographic Details
Main Authors: Andrea L. S. Bulungu, Luigi Palla, Joweria Nambooze, Jan Priebe, Lora Forsythe, Pamela Katic, Gwen Varley, Bernice D. Galinda, Nakimuli Sarah, Kate Wellard, Elaine L. Ferguson
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Nutrition Journal
Subjects:
Wearable cameras
Feasibility
Acceptability
Uganda
Time use
Dietary assessment
Online Access:https://doi.org/10.1186/s12937-022-00828-3

Internet

https://doi.org/10.1186/s12937-022-00828-3

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