Abstract:This study aimed to evaluate the association between student characteristics and recruitment strategies in the adherence of college students to a web-based alcohol intervention. Participants were 46,329 Brazilian students aged from 18 to 30, who consumed alcohol during the past three months. Three recruitment strategies were implemented: open invitations, and personally-addressed invitations with or without non-monetary incentives. We evaluated the educational, sociodemographic, motivational, and alcohol consu… Show more
“…Future studies may use standardized incentivization-perhaps via a combination of monetary and academic credit incentives-to encourage higher levels of practice adherence among undergraduates (Goncalves et al, 2020). Such studies may also consider using the existing Isha Upa Yoga app (see Appendix A) with enhanced digital design to encourage both adherence and retention.…”
College students experienced increased stress and anxiety during the COVID‐19 pandemic. This study evaluated the effect of brief online Isha Upa Yoga modules on undergraduates' mental health and well‐being. Randomized control trial (RCT) with waitlist control crossover (N = 679). The intervention group was instructed to learn and practice the modules daily for 12 weeks. At the end of the 4‐week RCT, the control group was instructed to learn and practice the modules for the remaining 8 weeks. Primary outcomes included stress and well‐being. Secondary outcomes included anxiety, depression, resilience, positive affect and negative affect. Linear mixed‐effects models were used for analyses. Isha Upa Yoga significantly reduced stress (Group [intervention, control] × Time [baseline, Week 4] interaction, p = .009, d = .27) and increased well‐being (Group × Time interaction p = .002, d = .32). By the study's end, the intervention and control groups experienced significant improvements in well‐being (p < .001, p < .001), stress (p < .001, p < .001), anxiety (p < .001, p < .001), depression (p < .001, p = .004), positive affect (p = .04, p < .001), and negative affect (p < .001, p < .001). Online Isha Upa Yoga shows promise for mitigating the pandemic's negative impact on undergraduates' mental health and improving their well‐being.
“…Future studies may use standardized incentivization-perhaps via a combination of monetary and academic credit incentives-to encourage higher levels of practice adherence among undergraduates (Goncalves et al, 2020). Such studies may also consider using the existing Isha Upa Yoga app (see Appendix A) with enhanced digital design to encourage both adherence and retention.…”
College students experienced increased stress and anxiety during the COVID‐19 pandemic. This study evaluated the effect of brief online Isha Upa Yoga modules on undergraduates' mental health and well‐being. Randomized control trial (RCT) with waitlist control crossover (N = 679). The intervention group was instructed to learn and practice the modules daily for 12 weeks. At the end of the 4‐week RCT, the control group was instructed to learn and practice the modules for the remaining 8 weeks. Primary outcomes included stress and well‐being. Secondary outcomes included anxiety, depression, resilience, positive affect and negative affect. Linear mixed‐effects models were used for analyses. Isha Upa Yoga significantly reduced stress (Group [intervention, control] × Time [baseline, Week 4] interaction, p = .009, d = .27) and increased well‐being (Group × Time interaction p = .002, d = .32). By the study's end, the intervention and control groups experienced significant improvements in well‐being (p < .001, p < .001), stress (p < .001, p < .001), anxiety (p < .001, p < .001), depression (p < .001, p = .004), positive affect (p = .04, p < .001), and negative affect (p < .001, p < .001). Online Isha Upa Yoga shows promise for mitigating the pandemic's negative impact on undergraduates' mental health and improving their well‐being.
“…Subsequently, a logistic regression model was developed for dependent variables, controlled for confounding effects of age and sex. The odds ratio (OR; 95% CI) provided information about the magnitude of the association between categorical variables (Gonçalves et al, 2021 ; Cunha et al, 2018 ). The network analysis also evaluated potential predictors directly or indirectly associated with using e-cigarettes (Andrade et al, 2022 ; Lins et al, 2022 ; Spritzer et al, 2022 ).…”
The use of electronic cigarettes (e-cigarettes) persists in Brazil, despite restrictions on sales, imports, and advertising. This study aimed to identify the prevalence of e-cigarette use and user profiles among university students. This cross-sectional study used a convenience sample of 3083 university students (female = 2253, male = 830;
M
=26.1;
SD
=8.43) who completed an online survey. We employed logistic regression models and network analysis to determine the profile of e-cigarette users. The prevalence of e-cigarette use in the past year was 12.2% (
n
=377). Men, single individuals, Caucasians, secular individuals, and non-heterosexual individuals were more likely to engage in e-cigarette use. Intense use of alcohol, tobacco products, and illicit drugs increased the likelihood of e-cigarette use. Brazilian college students continue to use electronic cigarettes despite the prohibition. The pattern of alcohol abuse and tobacco product use among e-cigarette users is concerning. These risky behaviors render young and highly educated individuals targets for public policies to control and regulate electronic cigarettes in the country.
“…Several potential moderators were assessed that could affect the effect size regarding the primary outcomes, including sex, motivation to change alcohol use behavior, engagement with the intervention ( 44 ), and treatment adherence ( 43 ). Baseline motivation to change alcohol use behavior was assessed using the Readiness to Change Questionnaire (RCQ) ( 53 ).…”
Section: Methodsmentioning
confidence: 99%
“…It is hypothesized that the intervention group will show a greater reduction in the alcohol-related outcome measures than the minimal active control group. In addition, potential factors that could moderate the effectiveness of digital interventions have been investigated such as motivation ( 42 ), adherence ( 43 ), and engagement ( 44 ) of the users. Moreover, research on treatment for problem drinking has predominantly focused on men, resulting in suboptimal interventions for women.…”
BackgroundYoung adults’ drinking habits often exceed low-risk drinking guidelines. As young adults show increased access, use, and interest in personalized content related to physical and mental well-being, mobile applications might be a suitable tool to reach this target group. This study investigates the effectiveness of “Boozebuster”, a self-guided mobile application incorporating various therapeutic principles to reduce young adults’ alcohol consumption to not exceeding low-risk drinking guideline levels, compared to an educational website condition.MethodYoung adults aged 18–30 wanting to reduce their alcohol consumption entered a two-arm, parallel-group RCT. There were no minimum drinking severity inclusion criteria. Primary outcomes included alcohol consumption quantity and frequency. Secondary outcomes included binge drinking frequency and alcohol-related problem severity. Baseline, 6-week postbaseline, and 3-month post-baseline assessments were analyzed using linear mixed model analyses. Sex, treatment adherence, experienced engagement and motivation to change alcohol use behavior were investigated as moderators. Sub-group analyses contained problem drinkers and binge drinkers.Results503 participants were randomized to the intervention or control condition. Results showed no intervention effects on primary or secondary outcomes compared to the control group. Both groups showed within-group reductions on all outcomes. Sub-group analyses in problem drinkers or binge drinkers showed similar results. Motivation to change drinking behavior and experienced engagement with the application significantly moderated the intervention effect regarding the quantity or frequency of alcohol consumption, respectively. Exploratory analyses showed that participants who indicated they wanted to change their drinking patterns during the initial PNF/MI module showed a significantly greater reduction in drinking quantity compared to those who indicated not wanting to change their drinking patterns.ConclusionThe intervention group did not show a greater reduction in alcohol-related outcomes compared to the control group, but both groups showed a similar decrease. Potential explanations include similar effectiveness of both condition due to using a minimal active control in participants predominantly in the action stage of motivation to change. Future research should further explore the effectiveness of using mobile application to reduce young adults’ drinking behavior to not exceed low-risk drinking guideline levels and identify factors that motivate participants to engage with such an intervention.
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