Well characterized databases used for experimental purposes with extensive meta-data are essential for conducting meaningful and comparable studies. The Food-pics_extended database (Blechert et al., 2019) is one example for a widely used food stimulus database (original publication Blechert et al., 2014: 285 citations, and 2019: 32 citations). Indeed, meta-data on low level and high level image characteristics is broad, yet fiber ratings are not included, limiting its use in diet-related studies. Therefore, we developed fiber ratings per item (n = 562 stimuli), based on mean values of four non-expert raters. Ratings show good reliability (ICC = 0.77) and meaningful ranges per food type (mean fiber per 100 g by food type min(beverages) = 0.04 ± 0.04 g and max (Ready-to-eat) (savories) = 4.49 ± 1.58). The newly provided fiber ratings enrich the already valuable database and extend it by an important nutrient value for human and planetary health.
Dietary Fiber and WHO Food Categories Extension for the Food-Pics_Extended Database.
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作者:Medawar Evelyn, Thieleking Ronja, Witte A Veronica
| 期刊: | Frontiers in Psychology | 影响因子: | 2.900 |
| 时间: | 2022 | 起止号: | 2022 Jun 10; 13:818471 |
| doi: | 10.3389/fpsyg.2022.818471 | ||
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