RESUMEN
This longitudinal study used a person-centered approach to differentiate fear of missing out (FoMO) among subgroups of individuals using latent profile analysis (LPA). The subgroups were identified according to trait-FoMO (a specific predisposition) and state-FoMO (a specific cognition in the online context) items. Data were collected from 1125 participants (70.04 % female, age range 17-26 years, Mage = 20.52 years). The LPA showed five distinct profiles: highest FoMO, high trait-FoMO high state-FoMO, high trait-FoMO low state-FoMO, low trait-FoMO high state-FoMO, and low trait-FoMO low state-FoMO. We further explored how these profiles relate to social media use. The results revealed significant differences between profiles in terms of social media engagement, social media self-control failure, and problematic social media use and could be used to predict social media use behaviors of 437 participants (77.35 % female, age range 18-27 years, Mage = 20.60 years) six months later. Thus, the combination of high trait-FoMO and high state-FoMO may mean more frequent social media engagement and could be an important risk factor for social media self-control failure and problematic social media use. Additionally, state-FoMO should be considered in prevention and intervention strategies aimed at addressing young adults' problematic social media use.
Asunto(s)
Medios de Comunicación Sociales , Humanos , Femenino , Adulto Joven , Adolescente , Adulto , Lactante , Preescolar , Masculino , Estudios Longitudinales , Cognición , Miedo , GenotipoRESUMEN
Social networking site smartphone applications have been widely used among Chinese young adults. However, less is known about their effects on emotional health and the mechanisms through which they function. This study analyzes the relationship between college students' smartphone social networking service use patterns, social gratification, social media self-control failure, and emotional health. Data was collected from 360 college students in China via application log tracking and a self-administered questionnaire. Structural equation modeling results showed that, after controlling for demographic variables, the use of video social networking site smartphone applications was associated with decreased social gratification, and ultimately, adverse emotional health. Using social networking site smartphone applications late at night exhibited worse emotional health via more social media self-control failure. The implications for designing and using social media applications are discussed.