Article ; Online: An explanation for the accuracy of sensor-based measures of energy intake: Amount of food consumed matters more than dietary composition.
2023 Volume 194, Page(s) 107176
Abstract: Understanding and intervening on eating behavior often necessitates measurement of energy intake (EI); however, commonly utilized and widely accepted methods vary in accuracy and place significant burden on users (e.g., food diaries), or are costly to ... ...
Abstract | Understanding and intervening on eating behavior often necessitates measurement of energy intake (EI); however, commonly utilized and widely accepted methods vary in accuracy and place significant burden on users (e.g., food diaries), or are costly to implement (e.g., doubly labeled water). Thus, researchers have sought to leverage inexpensive and low-burden technologies such as wearable sensors for EI estimation. Paradoxically, one such methodology that estimates EI via smartwatch-based bite counting has demonstrated high accuracy in laboratory and free-living studies, despite only measuring the amount, not the composition, of food consumed. This secondary analysis sought to further explore this phenomenon by evaluating the degree to which EI can be explained by a sensor-based estimate of the amount consumed versus the energy density (ED) of the food consumed. Data were collected from 82 adults in free-living conditions (51.2% female, 31.7% racial and/or ethnic minority; M |
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MeSH term(s) | Adult ; Humans ; Female ; Male ; Ethnicity ; Minority Groups ; Diet ; Energy Intake ; Meals |
Language | English |
Publishing date | 2023-12-27 |
Publishing country | England |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S. |
ZDB-ID | 1461347-5 |
ISSN | 1095-8304 ; 0195-6663 |
ISSN (online) | 1095-8304 |
ISSN | 0195-6663 |
DOI | 10.1016/j.appet.2023.107176 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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