Characteristics of smartphone-based dietary assessment tools: a systematic review.
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Publication Date
2022-12Journal Title
Health Psychol Rev
ISSN
1743-7199
Publisher
Informa UK Limited
Pages
1-99
Type
Article
This Version
AM
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
König, L. M., Van Emmenis, M., Nurmi, J., Kassavou, A., & Sutton, S. (2022). Characteristics of smartphone-based dietary assessment tools: a systematic review.. Health Psychol Rev, 1-99. https://doi.org/10.1080/17437199.2021.2016066
Abstract
Smartphones have become popular in assessing eating behaviour in real-life and real-time. This systematic review provides a comprehensive overview of smartphone-based dietary assessment tools, focusing on how dietary data is assessed and its completeness ensured. Seven databases from behavioural, social and computer science were searched in March 2020. All observational, experimental or intervention studies and study protocols using a smartphone-based assessment tool for dietary intake were included if they reported data collected by adults and were published in English. Out of 21,722 records initially screened, 117 publications using 129 tools were included. Five core assessment features were identified: photo-based assessment (48.8% of tools), assessed serving/ portion sizes (48.8%), free-text descriptions of food intake (42.6%), food databases (30.2%), and classification systems (27.9%). On average, a tool used two features. The majority of studies did not implement any features to improve completeness of the records. This review provides a comprehensive overview and framework of smartphone-based dietary assessment tools to help researchers identify suitable assessment tools for their studies. Future research needs to address the potential impact of specific dietary assessment methods on data quality and participants' willingness to record their behaviour to ultimately improve the quality of smartphone-based dietary assessment for health research.
Keywords
Ecological Momentary Assessment, diet, dietary assessment, eating behaviour, mHealth, smartphone
Identifiers
External DOI: https://doi.org/10.1080/17437199.2021.2016066
This record's URL: https://www.repository.cam.ac.uk/handle/1810/332773
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