Results of a Single Arm Pilot Study of a Mobile Messaging Intervention for Hookah Tobacco Cessation in Young Adults

The effectiveness of digital health technologies for reducing substance use among young people: a systematic review & meta-analysis

BACKGROUND

Substance use amongst young people poses developmental and clinical challenges, necessitating early detection and treatment. Considering the widespread use of technology in young people, delivering interventions digitally may help to reduce and monitor their substance use.

AIMS

We conducted a systematic review and two meta-analyses to assess the effectiveness of digital interventions for reducing substance use (alcohol, smoking, and other substances) among young people aged 10 to 24 years old.

METHOD

Embase, Global Health, Medline, PsychINFO, Web of Science and reference lists of relevant papers were searched in November 2020. Studies were included if they quantitatively evaluated the effectiveness of digital health technologies for treating substance use. A narrative synthesis and meta-analysis were conducted.

RESULTS

Forty-two studies were included in the systematic review and 18 in the meta-analyses. Digital interventions showed small, but statistically significant reductions in weekly alcohol consumption compared to controls (SMD= -0.12, 95% CI= -0.17 to -0.06, I2=0%), but no overall effect was seen on 30-day smoking abstinence (OR = 1.12, 95% CI = 0.70 to 1.80, I2=81%). The effectiveness of digital interventions for reducing substance use is generally weak, however, promising results such as reducing alcohol use were seen. Large-scale studies should investigate the viability of digital interventions, collect user feedback, and determine cost-effectiveness.

PRISMA/PROSPERO

This systematic review was conducted following Cochrane methodology PRISMA guidelines. The review was registered with PROSPERO in November 2020 (CRD42020218442).

Correlates of motivation to quit waterpipe tobacco smoking among US young adults: implications for cessation interventions

Waterpipe tobacco smoking is a public health concern that poses many of the same health risks as cigarette smoking, especially among young adults-a subpopulation characterized by the highest prevalence of waterpipe tobacco smoking. Nevertheless, it remains understudied relative to other forms of tobacco use. We examined sociodemographic, behavioral and cognitive factors associated with young adults' motivation to quit waterpipe smoking using a theory-informed approach. We completed a secondary analysis of baseline data on waterpipe tobacco smoking beliefs and behavior collected from 349 US young adults aged 18-30 years. We analyzed sociodemographics, tobacco use and cessation behaviors and perceptions, and theory-related constructs associated with motivation to quit waterpipe tobacco smoking using linear regression. Overall, participants reported low motivation (mean = 2.68, SD = 1.56, scale range 1-7) and high self-efficacy (mean = 5.12, SD = 1.79) to quit waterpipe tobacco smoking. In multivariable analysis, prior quit attempts (β = 1.10, P < 0.01), greater perceived risks of waterpipe tobacco smoking (β = 0.42, P < 0.01) and increasingly negative attitudes toward waterpipe tobacco smoking (β = 0.29, P < 0.01) were associated with higher motivation to quit. These findings highlight the importance of those factors as potential cessation determinants. These findings can help guide the development and refinement of interventions targeting young adult waterpipe tobacco smoking.

Age of initiation of hookah use among young adults: Findings from the Population Assessment of Tobacco and Health (PATH) study, 2013-2017

OBJECTIVE

To prospectively estimate the age of initiation of ever, past 30-day, and fairly regular hookah use among young adults (ages 18-24) overall, by sex, by race/ethnicity, and to explore the association of prior use of other tobacco products with these hookah use behaviors.

METHODS

Secondary data analyses of the first four waves (2013-2017) of the PATH study, a nationally representative longitudinal cohort study of US young adults. Young adult never hookah users at the first wave of adult participation in PATH waves 1-3 (2013-2016) were followed-up into waves 2-4 (2014-2017) to estimate the age of initiation of three outcomes: (i) ever use, (ii) past 30-day use, and (iii) fairly regular hookah use. Weighted interval-censoring Cox proportional hazards regression models were used to examine the differences in the estimated age of initiation by sex and by race/ethnicity while controlling for the total number of other tobacco products ever used at participants' first wave of PATH participation. In addition, to examine if prior use of other tobacco products was associated with the age of hookah initiation behaviors, six additional Cox models are reported for each hookah initiation behaviors.

RESULTS

The largest increase in hookah use occurred between ages 18 and 19: 5.8% for ever use and 2.7% for past 30-day hookah use. By age 21, 10.5%, 4.7% and 1.2% reported initiation of ever, past 30-day and fairly regular hookah use, respectively. There were statistically significance differences in the age of initiation of hookah use behaviors by race/ethnicity.

CONCLUSION

Educational interventions should target young adults before the age of 21, focusing efforts specifically on males, non-Hispanic Blacks and Hispanics, to stall initiation and progression of hookah use behaviors.

Tailored Mobile Messaging Intervention for Waterpipe Tobacco Cessation in Young Adults: A Randomized Trial

Objectives. To test a tailored mobile health (i.e., mHealth) intervention for waterpipe tobacco cessation in young adults. Methods. From 2018 to 2020 at 2 US sites, we conducted a randomized trial with 349 waterpipe tobacco smokers aged 18 to 30 years randomized to control (no intervention), untailored, or tailored intervention arms. Intervention arms received a 6-week mHealth intervention conveying risks of waterpipe tobacco through text and images and strategies to enhance motivation and support quitting. The tailored intervention was personalized to baseline measures and intervention text message responses. Risk appraisals, motivation to quit, waterpipe smoking frequency, and cessation were assessed at 6 weeks, 3 months, and 6 months. Results. At 6 months, cessation was higher in the tailored (49%) than the control arm (29%; odds ratio = 2.4; 95% confidence interval = 1.3, 4.2) and smoking frequency was lower in the tailored (mean = 3.5 days) than the control arm (mean = 4.3 days; P = .006). At interim follow-ups, significant differences in other outcomes favored the tailored intervention. Conclusions. Tailored mobile messaging can help young adult waterpipe tobacco smokers quit. This scalable intervention is poised for population implementation.