Intention to change multiple health risk behaviors and predictors of behavior change in vocational education students.

Objective: No studies have examined vocational education students' intention to change multiple health risk behaviors and whether baseline characteristics predict behavior change. Participants: Paticipants were vocational education students in New South Wales, Australia. Methods: Students in the no-intervention control arm of a cluster randomized controlled trial completed an online survey at baseline and 6 months later. Results: Of 450 participants (83.3%) who reported multiple health risk behaviors at baseline, one-third (33.1%) intended to change at least two risk behaviors within 6 months. Participants experiencing symptoms of anxiety [OR = 7.43, 95% CIs 1.26-43.87; p = 0.03] and who intended to change three to four risk behaviors [OR = 23.30, 95% CIs 4.01-135.40; p = 0.001] rather than one behavior had significantly greater odds of changing at least one behavior in 6 months. Conclusions: Interventions could support vocational education students to change behaviors they wish to as well as motivate them to address other risk behaviors.

The Long-Term Effectiveness of Internet-Based Interventions on Multiple Health Risk Behaviors: Systematic Review and Robust Variance Estimation Meta-analysis.

BACKGROUND: Smoking tobacco, poor nutrition, risky alcohol use, and physical inactivity (SNAP) behaviors tend to cluster together. Health benefits may be maximized if interventions targeted multiple health risk behaviors together rather than addressing single behaviors. The internet has wide reach and is a sustainable mode for delivery of interventions for multiple health behaviors. However, no systematic reviews have examined the long-term effectiveness of internet-based interventions on any combination of or all SNAP behaviors in adults aged 18 years or older. OBJECTIVE: This systematic review examined, among adults (aged ≥18 years), the effectiveness of internet-based interventions on SNAP behaviors collectively in the long term compared with a control condition. METHODS: The electronic databases Medline, PsycINFO, Embase, CINAHL, and Scopus were searched to retrieve studies describing the effectiveness of internet-based interventions on ≥2 SNAP behaviors published by November 18, 2019. The reference lists of retrieved articles were also checked to identify eligible publications. The inclusion criteria were randomized controlled trials or cluster randomized controlled trials with adults examining an internet-based intervention measuring the effect on ≥2 SNAP behaviors at least 6 months postrecruitment and published in English in a peer-reviewed journal. Two reviewers independently extracted data from included studies and assessed methodological quality using the Quality Assessment Tool for Quantitative Studies. A robust variance estimation meta-analysis was performed to examine the long-term effectiveness of internet-based interventions on all 4 SNAP risk behavior outcomes. All SNAP outcomes were coded so they were in the same direction, with higher scores equating to worse health risk behaviors. RESULTS: The inclusion criteria were met by 11 studies: 7 studies measured the effect of an internet-based intervention on nutrition and physical activity; 1 study measured the effect on smoking, nutrition, and physical activity; and 3 studies measured the effect on all SNAP behaviors. Compared with the control group, internet-based interventions achieved an overall significant improvement across all SNAP behaviors in the long term (standardized mean difference -0.12 [improvement as higher scores = worse health risk outcomes], 95% CI -0.19 to -0.05; I2=1.5%, P=.01). The global methodological quality rating was "moderate" for 1 study, while the remaining 10 studies were rated as "weak." CONCLUSIONS: Internet-based interventions were found to produce an overall significant improvement across all SNAP behaviors collectively in the long term. Internet-based interventions targeting multiple SNAP behaviors have the potential to maximize long-term improvements to preventive health outcomes.

Barriers and Facilitators to the Uptake of Online and Telephone Services Targeting Health Risk Behaviours among Vocational Education Students: A Qualitative Study.

Uptake of online and telephone services targeting health behaviours is low among vocational education students and barriers and facilitators are unknown. This study aimed to explore barriers and facilitators to uptake of online and telephone services for smoking, nutrition, alcohol, and physical activity (SNAP) risk behaviours via semi-structured individual telephone interviews with fifteen vocational education students. Two authors independently completed thematic analysis, classified themes according to the COM-B (Capability, Opportunity, Motivation, Behaviour) framework, and discussed disagreements until consensus was reached. Facilitators to uptake of online (e.g., desire to learn something new, cost-free, accessible) and telephone services (e.g., prefer to talk to provider, complements online support) primarily related to capability and opportunity. For telephone services, difficulty understanding accent/language was a capability-related barrier. Opportunity-related barriers for online and telephone services were preference for face-to-face interaction and lack of time, while preference for apps/online programs was a barrier for telephone services. For online and telephone services, not wanting to change SNAP behaviours was a motivation-related barrier and being able to change SNAP risk behaviours themselves was a motivation-related barrier for online services. Barriers and facilitators to online and telephone services are relevant for designing interventions vocational education students are more likely to use.

The short-term effectiveness of real-time video counselling on smoking cessation among residents in rural and remote areas: An interim analysis of a randomised trial.

BACKGROUND: Real-time video counselling for smoking cessation uses readily accessible software (e.g. Skype). This study aimed to assess the short-term effectiveness of real-time video counselling compared to telephone counselling or written materials (minimal intervention control) on smoking cessation and quit attempts among rural and remote residents. METHODS: An interim analysis of a three-arm, parallel group randomised trial with participants (n = 655) randomly allocated to; 1) real-time video counselling; 2) telephone counselling; or 3) written materials only (minimal intervention control). Participants were daily tobacco users aged 18 years or older residing in rural or remote areas of New South Wales, Australia. Video and telephone counselling conditions offered up to six counselling sessions while those in the minimal intervention control condition were mailed written materials. The study measured seven-day point prevalence abstinence, prolonged abstinence and quit attempts at 4-months post-baseline. RESULTS: Video counselling participants were significantly more likely than the minimal intervention control group to achieve 7-day point prevalence abstinence at 4-months (18.9% vs 8.9%, OR = 2.39 (1.34-4.26), p = 0.003), but the video (18.9%) and telephone (12.7%) counselling conditions did not differ significantly for 7-day point prevalence abstinence. The video counselling and minimal intervention control groups or video counselling and telephone counselling groups did not differ significantly for three-month prolonged abstinence or quit attempts. CONCLUSION: Given video counselling may increase cessation rates at 4 months post-baseline, quitlines and other smoking cessation services may consider integrating video counselling into their routine practices as a further mode of cessation care delivery. TRIAL REGISTRATION: www.anzctr.org.au ACTRN12617000514303.

Clustering of multiple health-risk factors among vocational education students: a latent class analysis.

Physical and mental health risks often commence during young adulthood. Vocational education institutions are an ideal setting for understanding how health-risks cluster together in students to develop holistic multiple health-risk interventions. This is the first study to examine clustering of tobacco smoking, fruit intake, vegetable intake, alcohol consumption, physical inactivity, overweight/obesity, depression, and anxiety in vocational education students and the socio-demographic characteristics associated with cluster membership. A cross-sectional survey with vocational education students (n = 1134, mean age = 24.3 years) in New South Wales, Australia. Latent class analysis identified clusters and latent class regression examined characteristics associated with clusters. Four clusters were identified. All clusters had moderate inadequate fruit intake and moderate overweight/obesity. Cluster 1 (13% of sample) had "high anxiety, high inadequate vegetable intake, low tobacco, and low alcohol use." Cluster 2 (16% of sample) had "high tobacco smoking, high alcohol use, high anxiety, high depression, and high inadequate vegetable intake." Cluster 3 (52% of sample) had "high risky alcohol use, high inadequate vegetable intake, low depression, low anxiety, low tobacco smoking, and low physical inactivity." Cluster 4 (19% of sample) was a "lower risk cluster with high inadequate vegetable intake." Compared to cluster 4, 16-25-year-olds and those experiencing financial stress were more likely to belong to clusters 1, 2, and 3. Interventions for vocational education students should address fruit and vegetable intake and overweight/obesity and recognize that tobacco use and risky alcohol use sometimes occurs in the context of mental health issues.

Uptake of Proactively Offered Online and Telephone Support Services Targeting Multiple Health Risk Behaviors Among Vocational Education Students: Process Evaluation of a Cluster Randomized Controlled Trial.

BACKGROUND: A high proportion of vocational education students smoke tobacco, have inadequate nutrition (ie, low fruit and vegetable intake), drink alcohol at risky levels, or are physically inactive. The extent to which vocational education students will sign up for proactively offered online and telephone support services for multiple health risk behaviors is unknown. OBJECTIVE: The aim of this study is to examine the uptake of proactively offered online and telephone support services for smoking, nutrition, alcohol consumption, and physical activity risk behaviors, individually and in combination, among vocational education students in the Technical and Further Education (TAFE) setting. The characteristics associated with the uptake of online or telephone services for smoking, nutrition, alcohol consumption, and physical activity risk behaviors were also examined. METHODS: Vocational education students enrolled in a TAFE class in New South Wales, Australia, which ran for 6 months or more, were recruited to participate in a cluster randomized controlled trial from May 2018 to May 2019. In the intervention arm, participants who did not meet the Australian health guidelines for each of the smoking, nutrition, alcohol consumption, and physical activity risk behaviors were provided electronic feedback and proactively offered online and telephone support services. Uptake of support was measured by whether participants signed up for the online and telephone services they were offered. RESULTS: Vocational education students (N=551; mean age 25.7 years, SD 11.1; 310/551, 56.3% male) were recruited into the intervention arm. Uptake of the proactive offer of either online or telephone services was 14.5% (59/406) for fruit and vegetables, 12.7% (29/228) for physical activity, 6.8% (13/191) for smoking, and 5.5% (18/327) for alcohol use. Uptake of any online or telephone service for at least two health behaviors was 5.8% (22/377). Participants who were employed (odds ratio [OR] 0.10, 95% CI 0.01-0.72) and reported not being anxious (OR 0.11, 95% CI 0.02-0.71) had smaller odds of signing up for online or telephone services for smoking, whereas participants who reported not being depressed had greater odds (OR 10.25, 95% CI 1.30-80.67). Participants who intended to change their physical activity in the next 30 days had greater odds (OR 4.01, 95% CI 1.33-12.07) of signing up for online or telephone services for physical activity. Employed participants had smaller odds (OR 0.18, 95% CI 0.06-0.56) of signing up for support services for at least two behaviors. CONCLUSIONS: Although the uptake of proactively offered online and telephone support services is low, these rates appear to be higher than the self-initiated use of some of these services in the general population. Scaling up the proactive offer of online and telephone services may produce beneficial health outcomes. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12618000723280; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375001.

Acceptability of real-time video counselling compared to other behavioural interventions for smoking cessation in rural and remote areas.

BACKGROUND: This study evaluated the acceptability of real-time video counselling compared to a) telephone counselling and b) written materials in assisting rural and remote residents to quit smoking. METHODS: Participants were recruited into a three-arm, parallel group randomised trial and randomly allocated to either: a) real-time video counselling; b) telephone counselling; or c) written materials. At 4-months post-baseline participants completed an online survey that examined self-reported acceptability and helpfulness of the support. RESULTS: Overall, 93.5 % of video counselling participants and 96.2 % of telephone counselling participants who received support thought it was acceptable for a smoking cessation advisor to contact them via video software or telephone respectively. There were significant differences between video counselling and telephone counselling groups on three of 10 acceptability or helpfulness measures. Video counselling participants had significantly lower odds of reporting the number of calls were about right (OR 0.50, 95 % CI 0.27-0.93), recommending the support to family and friends (OR 0.18, 95 % CI 0.04-0.85) and reporting the support helped with motivation to try quitting (OR 0.24, 95 % CI 0.07-0.76) compared to telephone counselling participants. Video counselling participants had significantly greater odds than written materials participants of rating the support favourably on all seven acceptability and helpfulness items compared. CONCLUSIONS: Real-time video counselling for smoking cessation is acceptable and well-received by those living in rural and remote locations. Further research is required to enhance the three attributes that were less acceptable for video counselling than telephone counselling.

Connectivity of Real-Time Video Counselling Versus Telephone Counselling for Smoking Cessation in Rural and Remote Areas: An Exploratory Study.

This study compared the connectivity of video sessions to telephone sessions delivered to smokers in rural areas and whether remoteness and video app (video only) were associated with the connectivity of video or telephone sessions. Participants were recruited into a randomised trial where two arms offered smoking cessation counselling via: (a) real-time video communication software (201 participants) or (b) telephone (229 participants). Participants were offered up to six video or telephone sessions and the connectivity of each session was recorded. A total of 456 video sessions and 606 telephone sessions were completed. There was adequate connectivity of the video intervention in terms of no echoing noise (97.8%), no loss of internet connection during the session (88.6%), no difficulty hearing the participant (88.4%) and no difficulty seeing the participant (87.5%). In more than 94% of telephone sessions, there was no echoing noise, no difficulty hearing the participant and no loss of telephone line connection. Video sessions had significantly greater odds of experiencing connectivity difficulties than telephone sessions in relation to connecting to the participant at the start (odds ratio, OR = 5.13, 95% confidence interval, CI 1.88-14.00), loss of connection during the session (OR = 11.84, 95% CI 4.80-29.22) and hearing the participant (OR = 2.53, 95% CI 1.41-4.55). There were no significant associations between remoteness and video app and connectivity difficulties in the video or telephone sessions. Real-time video sessions are a feasible option for smoking cessation providers to provide support in rural areas.

Family therapy and dialectical behavior therapy with adolescents: Part I: Proposing a clinical synthesis.

Although the practice of family therapy in dialectical behavior therapy (DBT) with multiproblem suicidal adolescents is common and generally indicated, a particular model has yet to be delineated with this age group. The purpose of this article is to propose a coherent clinical synthesis of the more individually oriented DBT strategies with a broader family-systems orientation that maintains the integrity of both theoretical approaches while addressing the treatment needs of adolescents and their families. First, the authors briefly review the literature. Second, they describe the core dialectic of DBT, balancing acceptance and change, and its relevance to family therapy. Finally, the authors propose several specific acceptance and change strategies useful when implementing DBT family therapy with multi-problem adolescents.

Family therapy and dialectical behavior therapy with adolescents: Part II: A theoretical review.

Dialectical Behavior Therapy (DBT) is based on a transactional model of the etiology of borderline personality disorder (BPD). It assumes that the associated emotional dysregulation is not simply biological or family induced but the result of a dynamic interaction between the biology and characteristics of an individual with the individual's social environment. This paper discusses the theoretical issues and empirical research relating to a synthesis of family therapy and DBT with adolescents. A review of the literature identifies support for a greater understanding and inclusion of families in treatment, attention to relational aspects of affect, and a dialectical framework for synthesizing individual-oriented and systemic-oriented theories and practice. Some implications for the development of a DBT family therapy model are discussed.