Individuals have a wide range of resources when searching for health topics. The aim of this research was twofold: (1) to identify and assess the resources college students use when exercising health information seeking behavior (HISB); and (2) to examine perceptions and behaviors regarding adoption of online tools. A questionnaire was developed to assess HISB in a sample of college students. Items pertaining to HISB were adapted from a Health Information National Trends Survey with permission from the National Cancer Institute at the National Institutes of Health. During Spring 2018, 258 students in 9 sections of a personal health class at a public university in NJ completed the questionnaire. Students were most likely to often or always use the Internet for health information (n = 74%) over other sources. Females were more likely to use the Internet for health information (p = .030), to consult a health or medical professional (p = .042) and to confirm the health information they find with a health or medical professional (p = .028). Females also reported spending significantly more time on social media (mean 4.96 h/day) compared to males (4.00 h/day, p = .041). Non-white students were significantly more likely to often use the Internet to find health information (p = .039), while white students reported spending significantly less time on the Internet (p < .001) and on social media (p < .001). Future research is needed to understand motivating factors for HISB, and to tailor interventions accordingly to assure that college students who exhibit HISB have appropriate levels of e-health literacy.

Children disproportionately affected by visual dysfunction can receive glasses in a timely manner and wear them regularly in the classroom. Even more intensive efforts will be needed for some children to help ensure that they wear glasses in school.

Technology-related distracted behavior is an emergent national concern. Listening to, looking at or talking into an electronic device while walking divides attention, increasing the risk of injury. The purpose of this study was to quantify technology-related distracted pedestrian behavior at five dangerous and busy Manhattan intersections. Data were collected over ten cycles of signal changes at each of the four corners of five intersections at four times of day. Data for 'Walk' and 'Don't Walk' signals were tallied separately. A total of 21,760 pedestrians were observed. Nearly one-third crossing on a 'Walk' signal (n = 5414, 27.8%), and nearly half crossing on a 'Don't Walk' signal (n = 974; 42.0%) were wearing headphones, talking on a mobile phone, and/or looking down at an electronic device. Headphone use was the most common distraction.