Objective
To systematically review healthy lifestyle interventions targeted to adolescents and delivered using text messaging (TM).
Data Source
PubMed, Embase, CINAHL, PsycInfo, and Web of Science databases
Study Inclusion Criteria
Research articles published during 2011–2014; analyses focused on intervention targeting adolescents (10–19 years of age), with healthy lifestyle behaviors as main variables, delivered via mobile-phone-based TM.
Data Extraction
Authors extracted data from 27/281 articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method.
Data Synthesis
Adolescent and setting characteristics, study design and rigor, intervention effectiveness, challenges, risk of bias.
Results
Across studies, 16/27 (59.3%) included non-Caucasians. Gender was split for 22/27 (81.5%) studies. Thirteen studies were randomized controlled trials. There was heterogeneity among targeted conditions, rigor of methods, and intervention effects. Interventions for monitoring/adherence (n = 8) reported more positive results than those for health behavior change (n = 19). Studies that only included message delivered via TM (n = 14) reported more positive effects than studies integrating multiple intervention components. Interventions delivered using TM presented minimal challenges, but selection and performance bias were observed across studies.
Conclusion
Interventions delivered TM have the potential, under certain conditions, to improve healthy lifestyle behaviors in adolescents. However, the rigor of studies varies and established theory and validated measures have been inconsistently incorporated.
Despite the growth in research examining the use of computer-mediated communication (CMC) for exchanging social support, there remains much to learn about the support-related implications of CMC. An experiment was conducted to examine the influence of the reduced social cues associated with CMC on the outcomes of supportive interaction. Participants discussed a stressor with a confederate either face-to-face or via CMC and received informational or emotional support. Although they received the exact same support messages, participants in the CMC condition reported significantly greater worry and uncertainty discrepancy following the interaction than participants in the face-to-face condition. A main effect was also found for support message type. Consistent with the optimal matching model, informational support led to more beneficial outcomes than emotional support in response to the (controllable) stressor experienced by participants.
Widespread use of computer‐mediated communication (CMC) for exchanging social support has raised questions about the support‐related implications of CMC. This study drew from the dual‐process theory of supportive message outcomes and examined the implications of CMC for support message processing and outcomes. We hypothesized that the reduced social cues in CMC would encourage greater elaboration on support message content and lead support messages to have a greater impact than in face‐to‐face interaction. The results of the experiment showed that, although the support message was held constant, participants in the CMC condition reported the strongest motivation to receive support, engaged in the greatest level of message elaboration, and experienced the most beneficial changes in worry and uncertainty discrepancy.
Although the utility of verbal person-centeredness (VPC) as a feature of social support messages has been demonstrated in numerous studies, questions remain about the scope and theoretical mechanisms that explain VPC effects. Two experiments were conducted to evaluate whether the salutary effects of VPC extend to generic VPC messages and to explore the role of validation as a theoretical mechanism. Participants discussed a personal problem with a fictional computer program named “ListenerBot” that provided standardized responses containing high or low levels of VPC. Participants who received high VPC feedback from ListenerBot experienced a greater reduction in emotional distress than participants who received low VPC feedback. Path models consistently showed that high VPC feedback validated participants’ feelings, which led them to reappraise their situation and ultimately reduced their emotional distress. VPC, however, did not impact participants’ discussion of their thoughts and emotions.
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