Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/146369
Title: The potential of smartphone apps in informing protobacco and antitobacco messaging efforts among underserved communities : longitudinal observational study
Authors: Lee, Edmund Wei Jian
Bekalu, Mesfin Awoke
McCloud, Rachel
Vallone, Donna
Arya, Monisha
Osgood, Nathaniel
Li, Xiaoyan
Minsky, Sara
Viswanath, Kasisomayajula
Keywords: Science::Medicine
Issue Date: 2020
Source: Lee, E. W. J., Bekalu, M. A., McCloud, R., Vallone, D., Arya, M., Osgood, N., . . . Viswanath, K. (2020). The Potential of Smartphone Apps in Informing Protobacco and Antitobacco Messaging Efforts Among Underserved Communities: Longitudinal Observational Study. Journal of Medical Internet Research, 22(7), e17451-. doi:10.2196/17451
Journal: Journal of medical Internet research
Abstract: People from underserved communities such as those from lower socioeconomic positions or racial and ethnic minority groups are often disproportionately targeted by the tobacco industry, through the relatively high levels of tobacco retail outlets (TROs) located in their neighborhood or protobacco marketing and promotional strategies. It is difficult to capture the smoking behaviors of individuals in actual locations as well as the extent of exposure to tobacco promotional efforts. With the high ownership of smartphones in the United States-when used alongside data sources on TRO locations-apps could potentially improve tobacco control efforts. Health apps could be used to assess individual-level exposure to tobacco marketing, particularly in relation to the locations of TROs as well as locations where they were most likely to smoke. To date, it remains unclear how health apps could be used practically by health promotion organizations to better reach underserved communities in their tobacco control efforts.
URI: https://hdl.handle.net/10356/146369
ISSN: 1438-8871
DOI: 10.2196/17451
Rights: © Edmund WJ Lee, Mesfin Awoke Bekalu, Rachel McCloud, Donna Vallone, Monisha Arya, Nathaniel Osgood, Xiaoyan Li,Sara Minsky, Kasisomayajula Viswanath. Originally published in the Journal of Medical Internet Research (http://www.jmir.org),07.07.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographicinformation, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must beincluded
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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