Social media Websites (SMWs) are increasingly popular research tools. These sites provide new opportunities for researchers, but raise new challenges for Institutional Review Boards (IRBs) that review these research protocols.As of yet, there is little-to-no guidance regarding how an IRB should review the studies involving SMWs. The purpose of this article was to review the common risks inherent in social media research and consider how researchers can consider these risks when writing research protocols. We focused this article on three common research approaches: observational research, interactive research, and survey/interview research. Concomitant with these research approaches, we gave particular attention to the issues pertinent to SMW research, including privacy, consent, and confidentiality. After considering these challenges, we outlined key considerations for both researchers and reviewers when creating or reviewing SMW IRB protocols. Our goal in this article was to provide a detailed examination of relevant ethics and regulatory issues for both researchers and those who review their protocols.

Objective: Almost a third of college students are obese, placing them at risk for adult obesity and its complications. Internet use may be one factor contributing to college student obesity. The purpose of this study was to examine associations of college student internet use with physical activity and fitness. Methods: Older adolescents between 18 and 23 years were recruited from a large university. Using experience sampling method, participants received 6 randomly-timed text message surveys for 7 days. Survey questions assessed whether they were currently online, for how long and current online activities. Participants also completed the International Physical Activity questionnaire and reported their body mass index. Multivariate models assessed the association of internet use with physical activity and fitness. Results: Among 189 participants, the mean age was 18.9 (SD = 0.9), 58.8% were female and most were Caucasian (90.5%). Greater internet use was associated with fewer days per week of vigorous intensity exercise (p < 0.001). Participants who spent less than 1 hour/day online reported a mean of 3.2 days per week of vigorous intensity exercise (SD = 2.0), those with 3 or more hours online daily reported 1.4 (SD = 2.1). Those who reported internet activities focused on academics reported increased days of vigorous intensity exercise compared to those who reported internet activity focused on social networking sites (p < 0.001). Conclusions: There were no significant associations between internet use time and BMI. Findings suggest that both online time and particular online activities may be associated with decreased vigorous physical activity. Future efforts should consider reframing internet use guidelines for this population around both time and activities.

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Introduction. An understanding of adolescents' use of technology across ages and communities could allow for future targeted obesity intervention strategies. Methods. Focus groups of adolescents from rural, suburban, and urban cities in three states were conducted. Focus groups were led by a trained facilitator to explore how participants used technologies and whether they applied them for fitness purposes. All focus groups were audio recorded and manually transcribed. Analysis was conducted by three investigators using an iterative process. Results. Five focus groups included adolescents between the ages of 12 and 18 years (20 females and 8 males.) Three themes were derived from our data. First, we found age differences regarding technology applied to fitness. Younger participants described technology as a complement to fitness; older participants viewed technology as a motivator for fitness. Second, differences in fitness approaches existed between rural and urban adolescents. Adolescents in rural communities reported focusing on the outdoors for fitness, while urban adolescents relied on fitness-oriented video games. Both rural and urban teens related having a lack of fitness-focused resources in their communities. Conclusions. Our findings indicate differences in adolescents' application of technology for fitness. Despite adolescents' differing uses of technology across communities, a common need exists to expand their resources.

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