2021
DOI: 10.1186/s13104-021-05469-z
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Data on gender representation in food and beverage print advertisements found in corner stores from Guatemala and Peru

Abstract: Objectives Data on gender representation in food and beverage advertisements may allow for a better understanding of how the food industry is targeting different audiences based on gender. Nonetheless, scant research on food and beverage print advertising with a gender approach has been conducted. Therefore, we sought to assess the prevalence of gender focus in print advertisements found inside corner stores in two cities: Guatemala City, Guatemala, and Lima, Peru. … Show more

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Cited by 2 publications
(7 citation statements)
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“…We explain methods in detail elsewhere (Rozas et al, 2020; 2021) but we brie y describe them here. Researchers visited four areas (400-meter radius each) around public and private schools in Lima, Peru, and Guatemala City, Guatemala.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…We explain methods in detail elsewhere (Rozas et al, 2020; 2021) but we brie y describe them here. Researchers visited four areas (400-meter radius each) around public and private schools in Lima, Peru, and Guatemala City, Guatemala.…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, researchers photographed some ads more than once in different eldwork areas, which meant discarding duplicated images according to pre-established image quality criteria (focus, sharpness, clarity, and absence of unnecessary visual elements in the photograph). A complete set of criteria for capturing and selecting images for analysis is published as supporting documentation in an open data repository (19).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We have explained the methods in detail elsewhere [ 19 , 20 ] but we briefly describe them here. Researchers visited four areas (400-m radius each) around public and private schools in Lima, Peru, and Guatemala City, Guatemala.…”
Section: Main Textmentioning
confidence: 99%
“…Moreover, researchers photographed some print advertisements more than once in different fieldwork areas, which meant discarding duplicated images according to pre-established image quality criteria (focus, sharpness, clarity, and absence of unnecessary visual elements in the photograph). A complete set of criteria for capturing and selecting images for analysis is published as supporting documentation in an open data repository [ 19 ].…”
Section: Main Textmentioning
confidence: 99%