Objective To date no research has evaluated the efficacy of a stand-alone, smartphone-based intervention for individuals with an alcohol use disorder. The current pilot study evaluated the short-term outcomes of a smartphone-based intervention for alcohol use disorders compared with an internet-based brief motivational intervention plus bibliotherapy. Method Adults (18 to 45 years old) with an alcohol use disorder received either the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A; n = 28), a smartphone-based intervention, or the online Drinker’s Check-up plus bibliotherapy (DCU+bib; n = 26). These groups were compared using the Timeline Followback interview for percent days abstinent (PDA), percent heavy drinking days (PHDD), and drinks per week (DPW) from baseline to six weeks after the introduction of the interventions. Results Multilevel models revealed that the LBMI-A resulted in a significant increase in PDA over the course of the study, while the DCU+bib did not. Effect sizes for change from baseline for PDA suggest that the DCU+bib resulted in moderate a decrease, while the LBMI-A resulted in a large increase in PDA. Both interventions resulted in significant decreases in PHDD and DPW. The LBMI-A produced larger reductions in the first three to four weeks after the intervention was introduced than the DCU+bib. On weeks with greater LBMI-A usage, participants reported less DPW and PHDD. Conclusions Both interventions resulted in significant decreases in alcohol use over the 6-week trial, which is promising for stand-alone technology-based intervention systems aimed at individuals with an alcohol use disorder.

Background This paper provides results from a pilot study focused on assessing early-stage effectiveness and usability of a smartphone-based intervention system that provides a stand-alone, self-administered intervention option, the Location-Based Monitoring and Intervention for Alcohol Use Disorders (LBMI-A). The LBMI-A provided numerous features for intervening with ongoing drinking, craving, connection with supportive others, managing life problems, high risk location alerting and activity scheduling. Methods Twenty-eight participants, ranging in age from 22 to 45, who met criteria for an alcohol use disorder used an LBMI-A enabled smartphone for 6 weeks. Results Participants indicated the LBMI-A intervention modules were helpful in highlighting alcohol use patterns. Tools related to managing alcohol craving, monitoring consumption, and identifying triggers to drink were rated by participants as particularly helpful. Participants also demonstrated significant reductions in hazardous alcohol use while using the system (56% of days spent hazardously drinking at baseline vs. 25% while using the LBMI-A) and drinks per day diminished by 52%. Conclusions Implications for system improvement as well as suggestions for designing ecological momentary assessment and intervention systems for substance use disorders are discussed.

This study compared alcohol consumption data collected through daily interviews on a smartphone with data collected via the Timeline Follow-Back (TLFB) during a 6-week pilot study of a smartphone-based alcohol intervention system. The focus of the study was to assess for discrepancies between the two measurement methodologies on commonly utilized alcohol outcome variables. Twenty-five participants between 22 and 45 years of age and were drinking heavily at study incipience completed a 6-week alcohol intervention delivered by a smartphone application that monitored drinking through a daily interview. Participants also completed a TLFB of their alcohol consumption during the intervention period. Difference scores were calculated by subtracting the average weekly outcome variables derived from the smartphone daily interview from the average weekly outcome variables derived from the TLFB which yielded six discrepancy scores for each of the 25 participants and resulted in 150 observations. Heirarchical linear modeling indicated that the TLFB and smartphone daily interview methods did not produce significant discrepancies over the 6-week interval when examining percent of heavy drinking days and percent of days abstinent. However, discrepancies on drinks per drinking day increased substantially over time, suggesting that it is susceptible to recall bias when assessed by the TLFB. Results also indicated that participants under-reported their drinking on the TLFB compared to the daily smartphone-based assessment. Results indicate that outside of assessing for extreme drinking (binge or no drinking), the TLFB should be used cautiously and that smartphone apps represent a promising method for accurately assessing alcohol consumption over time.

This study sought to examine the influence of experiential avoidance (EA) as a moderating variable between reported physical health problems and anxiety and depression among older adults. Experiential avoidance has been found in previous studies to be strongly associated with a number of psychological disorders in younger adults but has received minimal attention in older populations. Two-hundred-and-eight individuals from New Zealand between the ages of 70 and 92 years old participated in this study. The Geriatric Anxiety Inventory, the Geriatric Depression Scale and the Acceptance and Action Questionnaire were used to measure anxiety, depression and EA, respectively. It was hypothesized that self-reported health (SRH) and EA would be associated with depression and anxiety at the zero order level. We also hypothesized that EA would be a unique predictor of depression and anxiety and would moderate the relationships between SRH and both depression and anxiety. Multiple regression analyses indicated that EA explained 8% of the unique variance in depression, 20% in anxiety and moderated the relationships between SRH and both depression and anxiety. This study also found that the relationships involving EA were more pronounced with anxiety as compared with depression in this elderly sample. The theoretical and practical applications of these findings are discussed.

This study provides evidence that volunteering is related to increased happiness, irrespective of ethnicity. It also provides further evidence that the relationship between volunteering and happiness is moderated by economic resources. Older individuals at the low end of the economic spectrum are likely to benefit more from volunteering than those at the high end.