Table 1.
Author (Year) | City and Country | Year of Recruitment | Sample Size | Representativity | Setting | Recruitment | Food Assessment Tool |
---|---|---|---|---|---|---|---|
(W/M) | |||||||
Gaytán-González (2020) [20] | Zapopan, Mexico | 2017 | 187 | Local | Community-dwelling | Users of a tertiary care hospital | One 24-h dietary recall |
(140/47) | |||||||
NHANES, 2015–2016 [29] | United States of America | 2015–2016 | 200 | National ‡ | Community-dwelling | Random selection from the national census | Two nonconsecutive 24-h dietary recall |
(100/100) | |||||||
Gingrich (2017) [14] | Nürnberg, Germany | 2016–2017 | 97 | Local | Community-dwelling | Citizen registry | 7-day food record |
(48/49) | |||||||
Cardon-Thomas (2018) [24] | Birmingham, United Kingdom | 2014 | 38 | Local | Community-dwelling | Volunteer databases | 3-day food diary |
(26/12) |
NHANES: National Health and Nutrition Examination Survey; W/M: number of women and men. ‡ The complex sampling design of NHANES leads to nationally representative data; however, this is not the case for this study as the data were not weighted according to its sampling design and were composed of a smaller sample size (200 vs. 1039).