High intensity and sprint interval training, and work-related cognitive function in adults: A systematic review.

OBJECTIVES: To assess evidence on the impact of acute and chronic high intensity interval training (HIIT) and sprint interval training (SIT) on work-related performance tests of cognitive function in adults. METHODS: The databases PubMed, CINAHL, Scopus, PsycINFO, Embase, and the Cochrane Library were searched for relevant articles up to August 2022. Eligible studies assessed the effects of HIIT (70%-100% VO2max ) and/or SIT (≥100% VO2max ) on cognitive function test scores in cognitively healthy adults, relative to a control or comparative exercise group/condition. Data on participant characteristics, exercise protocol, key outcomes, and intervention setting were extracted. Study quality was assessed using a 9 (single session HIIT/SIT) and 14 (multiple session HIIT/SIT) item checklist. RESULTS: Thirty-six studies (15 countries; n = 11-945 participants) met inclusion criteria. Mean quality scores were "fair-to-good" for acute (single session; mean = 6.9 [SD 1.0]) and chronic (multiple session; mean = 9.8 [SD 1.6]) training studies. Eighteen from 36 studies (12/20 [55%] acute and 6/16 [38%] chronic training studies) evidenced significant improvements in aspects of cognitive function related to work performance (i.e., attention, inhibition, memory, information processing speed, cognitive flexibility, intelligence, reaction time, and learning). Only four studies tested the impact of HIIT/SIT on cognitive function in a work-based setting (e.g., the office or home). CONCLUSIONS: While there is promising evidence, particularly from acute training studies, to indicate that high intensity, short duration exercise benefits cognitive function in adults, there is very limited evidence of application in workplace contexts. To better understand the potential benefits to employee performance and safety, HIIT/SIT and cognitive function research needs to transition from laboratory to "in-situ" occupational settings.

A stepped down physical activity support program for military service veterans: The Active Choices pilot study.

ISSUE ADDRESSED: Referral to supervised physical activity (PA) programs is an effective treatment for military service veterans (MSVs) suffering from a range of chronic diseases. However, many MSVs fail to maintain PA regimes once discharged from supervision. This pilot study assessed Active Choices, a stepped-down program to support MSVs in the transition from allied health treatment to self-managed PA. METHODS: Participants were 34 Australian MSVs (mean [SD] age = 61 [15.8] years) who were completing supervised referral to an exercise physiologist or physiotherapist. MSVs stepped-down to Active Choices and received a 12-week, evidence-based PA support program (2020-2021). Analyses compared within-group changes in accelerometer-assessed PA at three time points (Weeks 0, 12, and 24; linear mixed model). Program retention, PA choices, and allied healthcare service costs were also evaluated. RESULTS: Relative to baseline (64 [26] min/day), mean (SD) moderate-to-vigorous PA increased (74 [28] min/day; p < .05) and was maintained (62 [28] min/day) at weeks 12 and 24, respectively. Retention in the program was high (86% [29/34 participants] completion rate at 12 weeks), with water-based group activities the most popular PAs of choice (14/24 activities). Average allied healthcare service costs during the study were lower than typical costs for MSVs (60.51 vs. 97.06 AUD/week). CONCLUSION: The findings highlight the potential of Active Choices to support MSVs in the transition from supervised to self-managed MVPA. SO WHAT?: The program could promote the health of veterans and reduce costs for ongoing referral if impact is replicated at scale.

Safety, Feasibility, and Acceptability of a Multisite Individualized Exercise Intervention for People with Multiple Myeloma.

INTRODUCTION: High rates of disease- and treatment-related symptoms, such as bone lesions, in people with multiple myeloma (MM) create uncertainty on the safety and feasibility of exercise. This study determined the safety, feasibility, and acceptability of an individualized exercise medicine program for people with MM at any disease stage. METHODS: A multisite, randomized waitlist-controlled trial was conducted of an individualized, high-intensity aerobic, resistance, and impact-loading exercise program. The exercise sessions were supervised twice weekly by accredited exercise physiologists, with one additional unsupervised session per week, for 12 wk. Safety was determined by number of adverse and serious adverse events. Feasibility outcome measures were study eligibility, recruitment, adherence, and attrition. Acceptability was determined by qualitative interviews and subjective levels of enjoyment. RESULTS: Of 203 people with MM screened, 88% were eligible, with 34% accepting participation (60 people) and 20% attrition for the between-group analysis, meeting a priori criteria (≥25% and <25%, respectively). No adverse or serious adverse events attributed to testing and/or exercise training were reported. Attendance at supervised exercise sessions was 98%, with 45% completion of the home-based exercise sessions. Adherence rates were 35%, 63%, and 34% for the aerobic, resistance, and impact-loading protocols, with 55%, 80%, and 37% of participants meeting a priori criteria (75% of protocol). Acceptability of the exercise program was high (mean, 82%; 95% confidence interval, 78%-87%) and highly supported by qualitative responses. CONCLUSIONS: An individualized, high-intensity aerobic, resistance, and impact-loading exercise medicine program is safe and acceptable, and feasible by some measures for people with MM. Adherence to the prescribed exercise protocols was limited by comorbidities and disease symptoms. Strategies to improve unsupervised exercise completion are warranted in this population.

Additive effectiveness and feasibility of a theory-driven instant assessment and feedback system in brief cannabis intervention: A randomised controlled trial.

Assessment and personalised feedback are important components of brief interventions (BIs) for cannabis use. A key outcome is to increase motivation to change during this short interaction. The diversity of available assessments and time burden scoring them pose a challenge for routine use in clinical practice. An instant assessment and feedback (iAx) system was developed to administer assessments informed by bioSocial Cognitive Theory, that were instantly scored and benchmarked against clinical norms, to provide patient feedback and guide treatment planning. This study evaluated the feasibility and additive effectiveness of the iAx on motivation to change cannabis use, when compared to treatment as usual (TAU), in a single-session BI. A randomised controlled trial was conducted in a public hospital alcohol and drug outpatient clinic. Eighty-seven cannabis users (Mage = 26.41; 66% male) were assigned to the BI utilising the iAx (iAx; n = 44) or to the standard BI (TAU; n = 43). Patients completed pre- and post-BI assessments of motivation to change and a post-BI measure of treatment satisfaction. Practitioners completed a feedback survey. Patients receiving iAx reported a significantly greater increase in motivation to change from pre- to post-BI compared to patients receiving TAU (d = 0.49, p = .03). Treatment satisfaction was high across both conditions, with no significant difference between groups (p = .57). Practitioners also reported a high level of satisfaction with the iAx system. In summary, findings support the feasibility and additive effectiveness of the iAx to enhance patient motivation during cannabis BI.

Precision Mental Health Care for Cannabis Use Disorder: Utility of a bioSocial Cognitive Theory to Inform Treatment.

Globally, cannabis is the most frequently used controlled substance after alcohol and tobacco. Rates of cannabis use are steadily increasing in many countries and there is emerging evidence that there is likely to be greater risk due to increased concentrations of delta-9-tetrahydrocannabinol (THC). Cannabis use and Cannabis Use Disorder (CUD) has been linked to a wide range of adverse health outcomes. Several biological, psychological, and social risk factors are potential targets for effective evidence-based treatments for CUD. There are no effective medications for CUD and psychological interventions are the main form of treatment. Psychological treatments based on Social Cognitive Theory (SCT) emphasize the importance of targeting 2 keys psychological mechanisms: drug outcome expectancies and low drug refusal self-efficacy. This mini-review summarizes the evidence on the role of these mechanisms in the initiation, maintenance, and cessation of cannabis use. It also reviews recent evidence showing how these psychological mechanisms are affected by social and biologically-based risk factors. A new bioSocial Cognitive Theory (bSCT) is outlined that integrates these findings and implications for psychological cannabis interventions are discussed. Preliminary evidence supports the application of bSCT to improve intervention outcomes through better targeted treatment.

Stepped-down intervention programs to promote self-managed physical activity in military service veterans: A systematic review of randomised controlled trials.

OBJECTIVES: A stepped-down program is one where clients transition from the care of a health professional to self-managed care. This study reviewed the effectiveness of stepped-down interventions to promote self-managed physical activity for health in military service veterans. DESIGN: Systematic review. METHODS: Literature searches of 11 electronic databases were performed (up to 28th April 2020) to identify randomised controlled trials that assessed self-managed physical activity interventions in military service veterans. Data were extracted on study characteristics, intervention programs (with strategies mapped against a taxonomy of behaviour change techniques), and physical activity outcomes; secondary outcomes were physical fitness/function, psychosocial health, and cost effectiveness. Study quality was assessed using a 15-item checklist adapted from the TESTEX scale. RESULTS: Searches identified 26 studies (all from the United States; N = 45 to 531 participants) representing 17 intervention programs. Studies were of good quality (M = 10.7; SD = 2.3). More than half (54%) reported positive between-group intervention effects for physical activity outcomes (mean increase of 80 min/week in self-reported physical activity at 10-12 months). Physical fitness/function outcomes improved in 38% of studies, but no studies found significant intervention effects for psychosocial health or cost effectiveness outcomes. Behaviour change techniques most frequently used to elicit physical activity changes were education, goal setting, goal review and self-monitoring. CONCLUSIONS: Stepped-down programs that include specific behaviour change techniques have the potential to promote self-management of physical activity in military service veterans. Multi-national randomised controlled trials that use objective physical activity measures are needed to further build the evidence base.

Effects of the Active Choices Program on Self-Managed Physical Activity and Social Connectedness in Australian Defence Force Veterans: Protocol for a Cluster-Randomized Trial.

BACKGROUND: A stepped-down program is one in which clients transition from the care of a health professional to self-managed care. Very little is known about the effectiveness of stepped-down physical activity (PA) programs for military service veterans. OBJECTIVE: This study will test Active Choices, a stepped-down behavioral support program designed to help Australian Defence Force veterans and their dependents who are clients of the Department of Veterans' Affairs, transition from treatment by an exercise physiologist or physiotherapist to self-managed PA. METHODS: The study is a parallel-group, randomized trial, with city-based exercise physiology or physiotherapy practices that recruit eligible Department of Veterans' Affairs clients assigned to Active Choices or a comparison program. The study aims to recruit 52 participants (26 in each group). The Active Choices program will consist of 2 face-to-face (Weeks 1, 12) and 2 telephone (Weeks 4 and 8) consultations. During these sessions, the participant and Active Choices consultant will utilize an evidence-based resource booklet to review the key benefits of an active lifestyle, build an action plan for PA preferences, set and review goals, self-monitor progress relative to set goals, and discuss strategies to overcome PA barriers. Linking participants to local PA communities to overcome social isolation will be a program priority. The comparison program will consist of 2 consultations (Weeks 1 and 12) and use fewer behavioral support strategies (education, self-monitoring, and action planning only) than Active Choices. Outcome measures will be administered at baseline, end-intervention (12 weeks), and follow-up (24 weeks) to assess changes in moderate intensity self-managed PA, psychological well-being, and social connectedness. We will also measure health service utilization and costs as well as PA choices across the intervention period. End-intervention interviews will capture participant experiences. RESULTS: Due to the impacts of the COVID-19 pandemic on human research activities in Australia, participant recruitment will commence when it is safe and feasible to do so. CONCLUSIONS: Findings will provide valuable pilot data to support up-scaling of the program and larger effectiveness trials with regional and rural as well as city-based Australian Defence Force veterans and their dependents. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12620000559910; https://www.anzctr.org.au/ACTRN12620000559910.aspx. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/21911.

Testing the biosocial cognitive model of substance use in cannabis users referred to treatment.

BACKGROUND: The bioSocial Cognitive Theory (bSCT) hypothesizes two pathways linking dimensions of impulsivity to substance use. The first predicts that the association between reward sensitivity and substance use is mediated by positive outcome expectancies. The second predicts that the relationship between rash impulsiveness and substance use is mediated by refusal self-efficacy. This model has received empirical support in studies of alcohol use. The present research provides the first application of bSCT to a cannabis treatment population and aims to extend its utility to understanding cannabis use and severity of dependence. DESIGN: 273 patients referred for cannabis treatment completed a clinical assessment that contained measures of interest. SETTING: A public hospital alcohol and drug clinic. MEASUREMENTS: The Sensitivity to Reward Scale, Dysfunctional Impulsivity Scale, Cannabis Expectancy Questionnaire, Cannabis Refusal Self-Efficacy Questionnaire and Severity of Dependence Scale-Cannabis were completed, along with measures of cannabis consumption. FINDINGS: The bSCT model provided a good fit to the data for cannabis use and severity of dependence outcomes. The association between reward sensitivity and each cannabis outcome was fully mediated by positive cannabis expectancies and cannabis refusal self-efficacy. The relationship between rash impulsiveness and each cannabis outcome was fully mediated by cannabis refusal self-efficacy. CONCLUSIONS: Findings support the application of the bSCT model to cannabis use and dependence severity and highlight the important role of social cognitive mechanisms in understanding the association between impulsivity traits and these outcomes. The differential association of impulsivity traits to social cognition may assist targeted treatment efforts.

A biosocial cognitive model of cannabis use in emerging adulthood.

OBJECTIVES: The aim of this study was to test a new theoretical model of cannabis use incorporating biologically-based personality traits and social cognition. This biosocial cognitive theory (bSCT) has robust support in alcohol studies, but has not been applied to cannabis. The model proposes two pathways linking dimensions of impulsivity to cannabis use. The first predicts that the association between Reward Sensitivity (SR) and cannabis use is mediated by positive outcome expectancies. The second predicts that the relationship between Rash Impulsiveness (RI) and cannabis use is mediated by cannabis refusal self-efficacy. An extended version of this model was also tested and included a third pathway linking Punishment Sensitivity (SP) to cannabis use via higher negative outcome expectancies. METHOD: Participants were 252 18-to-21-year-olds who completed questionnaires assessing cannabis use, personality and social cognition. Theoretical models were tested using structural equation modeling. RESULTS: The bSCT model provided a good fit to the data (CFI=0.95; RMSEA=0.07; SRMR=0.06). Positive cannabis expectancies and refusal self-efficacy partially mediated the association between SR and cannabis use (p<0.05). Cannabis refusal self-efficacy fully mediated the relationship between RI and cannabis use (p<0.05). The addition of a third SP pathway did not improve model fit. CONCLUSIONS: Consistent with alcohol studies, the association between impulsivity and cannabis use is largely mediated by social cognition. The bSCT may provide novel insights to inform prevention and treatment of problematic cannabis use.

Treatment seeking in cannabis dependence: The role of social cognition.

BACKGROUND AND AIMS: Relatively few cannabis dependent individuals seek treatment and little is known about the determinants of treatment seeking. Social Cognitive Theory (SCT) provides a useful framework for examining human behaviour and motivation which may be helpful in explaining treatment seeking. This study examined the differences in cannabis outcome expectancies and cannabis refusal self-efficacy between treatment seekers and non-treatment seekers with cannabis dependence. DESIGN: Non-treatment seekers were referred to an illicit drug diversion program. Treatment seekers commenced an outpatient cannabis treatment program and completed a comprehensive assessment that included measures of cannabis outcome expectancies and refusal self-efficacy. SETTING: A public hospital alcohol and drug outpatient clinic. PARTICIPANTS: 269 non-treatment seekers and 195 individuals commencing cannabis dependence treatment. MEASUREMENTS: The Cannabis Expectancy Questionnaire (CEQ), Cannabis Refusal Self-Efficacy Questionnaire (CRSEQ), Severity of Dependence Scale - Cannabis (SDS-C), General Health Questionnaire (GHQ-28) and Readiness to Change Questionnaire (RTC) were completed. FINDINGS: Treatment seekers had significantly higher levels of negative cannabis outcome expectancies and significantly lower levels of emotional relief refusal self-efficacy (belief in ability to resist using cannabis when experiencing negative affect) (ps<0.001). Treatment seekers had significantly higher levels of psychological distress and self-perceived cannabis dependence compared to non-treatment seekers (ps<0.001). CONCLUSIONS: High negative cannabis outcome expectancies and low emotional relief refusal self-efficacy may play a key role in motivation to seek treatment.