JMIR Mhealth Uhealth

BACKGROUND: During university, students face some potentially serious health risks, and their lifestyle can have a direct effect on health and health behaviors later in life. Concurrently, university students are digital natives having easy access to the internet and new technologies. Digital health interventions offer promising new opportunities for health promotion, disease prevention, and care in this specific population. The description of the current use of and opinions on digital health among university students can inform future digital health strategies and interventions within university settings. OBJECTIVE: The aim of this exploratory study was to report on university students' use and opinions regarding information and communication technologies for health and well-being, taking into account sociodemographic and self-rated general and mental health correlates. METHODS: This field survey was conducted from March to April 2017. An informed consent form and a paper questionnaire were given to students aged 18 to 24 years in 4 university campuses in Bordeaux, France. The survey was formulated in 3 sections: (1) sociodemographic characteristics and self-rated general and mental health, (2) information about the use of digital health, and (3) opinions about digital health. Data were analyzed using descriptive statistics and tests of independence. RESULTS: A total of 59.8% (303/507 females) students completed the questionnaire. Concerning digital health use, 34.9% (174/498) had at least 1 health app mostly for physical activity (49.4%, 86/174) and general health monitoring (41.4%, 72/174,), but only 3.9% (20/507) of students had a wearable device. Almost all (94.8%, 450/476) had searched for Web-based health-related information at least once in the last 12 months. The most sought health-related topics were nutrition (68.1%, 324/476); pain and illnesses (64.5%, 307/476); and stress, anxiety, or depression (51.1%, 243/476). Although Wikipedia (79.7%, 357/448) and general health websites (349/448, 77.9%) were the most consulted sources, students considered institutional or official websites as the most credible sources (309/335, 92.2%). There were significant differences in digital health use by gender, field, and year of study. No statistically significant association was found between digital health use and self-rated general and mental health status. Concerning opinions on digital health, although 94.1% (475/505) of students estimated that today's digital health cannot replace traditional health services and medical consultations, 44.6% (207/464) of students declared that this could be possible in the future, provided that digital health interventions are promoted by institutional or official entities. CONCLUSIONS: University students are largely using the internet for health information seeking, but using less mobile health apps and very few wearable devices. Our data suggest that digital health has the potential for improving health and well-being at the university, especially if digital health interventions take into account students' profiles, interests, and needs

The diffusion of market orientation throughout the organization: A social learning theory perspective

This study examines the diffusion of market orientation (MO) as a social learning process to acquire and transfer individual-level MO. Central to the diffusion are important work-group members, or envoys. Through their marketoriented action, top managers serve as market-oriented role models to two important types of observers in work groups—formal middle managers and work-group expert peers. In turn, these observers become top managers’ envoys and role models of market-oriented behavior to frontline employees. Empirical results from a three-level data set from a Fortune 500 company support this perspective.While envoys who are neither market oriented nor identified with the firm are the least effective, envoys who are not market oriented but are strongly identified with the firm are also detrimental. Network size hinders the informal route of learning through expert peers but not the formal route through middle managers. By identifying who the important work-group envoys are and under what conditions certain envoys are likely to be most effective, this study helps managers select the best envoys to implement MO