Julianne M Power1, Kathryn L Braun2, Andrea Bersamin3. 1. Center for Alaska Native Health Research and the Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK. 2. Office of Public Health Studies, University of Hawai'i, Honolulu, Hawaii. 3. Center for Alaska Native Health Research and the Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK. Electronic address: abersamin@alaska.edu.
Abstract
OBJECTIVE: Estimate media technology use in Alaska Native communities to inform the feasibility of technology-based nutrition education. METHODS: A self-administered questionnaire was mailed to a random selection of about 50% of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) authorized representatives in remote Alaska Native communities (n = 975). Media technology use, interest in media technology-based nutrition education, and potential barriers were assessed. Chi-square tests were used to investigate associations among technology use, age, and education. RESULTS: Technology use was common among respondents (n = 368); use was significantly more common among younger age groups and participants with a higher level of education. Smartphone (78.8%) and Facebook (95.8%) use was comparable to national averages, but having a computer at home (38.4%) was much less likely. Less than 50% of participants have Internet access at home. CONCLUSIONS AND IMPLICATIONS: Findings shed light on new opportunities for WIC and other programs to deliver nutrition education to Alaska Native people in remote communities.
OBJECTIVE: Estimate media technology use in Alaska Native communities to inform the feasibility of technology-based nutrition education. METHODS: A self-administered questionnaire was mailed to a random selection of about 50% of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) authorized representatives in remote Alaska Native communities (n = 975). Media technology use, interest in media technology-based nutrition education, and potential barriers were assessed. Chi-square tests were used to investigate associations among technology use, age, and education. RESULTS: Technology use was common among respondents (n = 368); use was significantly more common among younger age groups and participants with a higher level of education. Smartphone (78.8%) and Facebook (95.8%) use was comparable to national averages, but having a computer at home (38.4%) was much less likely. Less than 50% of participants have Internet access at home. CONCLUSIONS AND IMPLICATIONS: Findings shed light on new opportunities for WIC and other programs to deliver nutrition education to Alaska Native people in remote communities.
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