Effect of implementation strategies on the routine provision of antenatal care addressing smoking in pregnancy: study protocol for a non-randomised stepped-wedge cluster controlled trial.

INTRODUCTION: Globally, guideline-recommended antenatal care for smoking cessation is not routinely delivered by antenatal care providers. Implementation strategies have been shown to improve the delivery of clinical practices across a variety of clinical services but there is an absence of evidence in applying such strategies to support improvements to antenatal care for smoking cessation in pregnancy. This study aims to determine the effectiveness and cost effectiveness of implementation strategies in increasing the routine provision of recommended antenatal care for smoking cessation in public maternity services. METHODS AND ANALYSIS: A non-randomised stepped-wedge cluster-controlled trial will be conducted in maternity services across three health sectors in New South Wales, Australia. Implementation strategies including guidelines and procedures, reminders and prompts, leadership support, champions, training and monitoring and feedback will be delivered sequentially to each sector over 4 months. Primary outcome measures will be the proportion of: (1) pregnant women who report receiving a carbon monoxide breath test; (2) smokers or recent quitters who report receiving quit/relapse advice; and (3) smokers who report offer of help to quit smoking (Quitline referral or nicotine replacement therapy). Outcomes will be measured via cross-sectional telephone surveys with a random sample of women who attend antenatal appointments each week. Economic analyses will be undertaken to assess the cost effectiveness of the implementation intervention. Process measures including acceptability, adoption, fidelity and reach will be reported. ETHICS AND DISSEMINATION: Ethics approval was obtained through the Hunter New England Human Research Ethics Committee (16/11/16/4.07; 16/10/19/5.15) and the Aboriginal Health and Medical Research Council (1236/16). Trial findings will be disseminated to health policy-makers and health services to inform best practice processes for effective guideline implementation. Findings will also be disseminated at scientific conferences and in peer-reviewed journals. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry-ACTRN12622001010785.

Outback Quit Pack: Feasibility trial of outreach smoking cessation for people in rural, regional, and remote Australia.

BACKGROUND: Tobacco smoking rates are higher in rural, regional, and remote (RRR) areas in Australia, and strategies to improve access to quit supports are required. This pilot study examined the feasibility of a smoking cessation intervention for people in RRR areas who smoke with the intention of using this data to design a powered effectiveness trial. METHODS: A randomised controlled trial (RCT) of the feasibility of a 12-week 'Outback Quit Pack' intervention consisting of mailout combination nicotine replacement therapy (NRT) and a proactive referral to Quitline, compared with a minimal support control (1-page smoking cessation support information mailout) was conducted between January and October 2021. Participants recruited via mailed invitation or Facebook advertising, were adults who smoked tobacco (≥10 cigarettes/day) and resided in RRR areas of New South Wales, Australia. Participants completed baseline and 12-week follow-up telephone surveys. Outcomes were feasibility of trial procedures (recruitment method; retention; biochemical verification) and acceptability of intervention (engagement with Quitline; uptake and use of NRT). RESULTS: Facebook advertising accounted for 97% of participant expressions of interest in the study (N = 100). Retention was similarly high among intervention (39/51) and control (36/49) participants. The intervention was highly acceptable: 80% of the intervention group had ≥1 completed call with Quitline, whilst Quitline made 3.7 outbound calls/participant (mean 14:05 mins duration). Most of the intervention group requested NRT refills (78%). No differences between groups in self-reported cessation outcomes. Biochemical verification using expired air breath testing was not feasible in this study. CONCLUSION: The Outback Quit Pack intervention was feasible and acceptable. Alternative methods for remote biochemical verification need further study. SO WHAT?: A powered RCT to test the effectiveness of the intervention to improve access to evidence-based smoking cessation support to people residing in RRR areas is warranted.

Psychometric properties of smokeless tobacco dependence measures: A COSMIN systematic review.

BACKGROUND: A comprehensive assessment of the quality of the psychometric properties of smokeless tobacco (SLT) dependence measures is necessary to help researchers and health professionals decide on the most appropriate measure to use when assessing dependence and planning cessation treatment. The aim of this systematic review was to identify and critically appraise measures for assessing dependence on SLT products. METHODS: The study team searched MEDLINE, CINAHL, PsycINFO, EMBASE and SCOPUS databases. We included English-language studies describing the development or psychometric properties of an SLT dependence measure. Two reviewers independently extracted data and appraised risk of bias using the rigorous Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) guidelines. RESULTS: Sixteen studies assessing 16 unique measures were eligible for assessment. Eleven studies were conducted in the United States; two in Taiwan and one each in Sweden, Bangladesh, and Guam. Of the sixteen measures, none of the measures was rated as "A" (can be recommended for use) as per COSMIN standards primarily due to limitations in structural validity and internal consistency. Nine measures (FTND-ST, FTQ-ST-9, FTQ-ST-10, OSSTD, BQDS, BQDI, HONC, AUTOS and STDS) were rated as "B": having potential for assessing dependence, although further assessment of psychometric properties is needed. Four measures, MFTND-ST, TDS, GN-STBQ and SSTDS having high quality evidence for an insufficient measurement property were rated as "C" and were not supported for use as per COSMIN standards. The remaining three brief measures HSTI, ST-QFI and STDI (consisting of <3 items) were rated inconclusive due to the inability of assessment of structural validity (minimum 3 items required for factor analysis), which is a prerequisite for assessment of internal consistency per the recommendations by the COSMIN framework. CONCLUSION: Further validation is required for the current tools that assess dependence on SLT products. Given the concerns related to the structural validity of these tools, a need may also exist to develop new measures for use by clinicians and researchers for assessing dependence on SLT products. PROSPERO: CRD42018105878.

Development and psychometric evaluation of the Khaini Smokeless Tobacco Dependence Scale.

INTRODUCTION: Khaini is a smokeless tobacco (SLT) product commonly used in the South-Asian region. It is the most common smokeless tobacco product used in India, having a prevalence of 11.2% and is used by 104.1 million adults. No scales exist to assess khaini dependence. Existing scales available to assess dependence on smokeless tobacco products are not ideal as these are adapted from cigarette dependence scales and developed for western populations. This study aimed to develop a khaini dependence scale and assess its reliability and validity. METHODS: Recommended methods for scale development were followed for item development, scale development and scale evaluation. Scale development was guided by a theoretical framework, a review of existing scales and in-depth interviews with 21 khaini users recruited from a tertiary care hospital in Mumbai, India. The process involved the identification of domains for dependence and the development of an item pool. Cognitive interviews and pre-testing were conducted with 20 khaini users to assess content validity. A cross-sectional survey with 323 khaini users was conducted, and Exploratory Factor Analysis (EFA) was used to determine the factor structure of the draft scale. The content validity, criterion validity (by cross-referencing with the cotinine level of users), convergent validity and internal consistency of the new scale were assessed. RESULTS: The final version of the Khaini SLT Dependence Scale (KSLTDS) had 20 items. EFA indicated an acceptable goodness of fit for a three-factor structure with physical, psychological and sociocultural-behavioral sub-scales. It showed evidence of acceptable criterion validity with cotinine (ρ=0.43, p=0.0002), convergent validity with FTND-ST (ρ=0.51, p<0.0001) and frequency of khaini use (ρ=0.38, p<0.0001). The sub-scales (α=0.87-0.90) showed acceptable internal consistency. CONCLUSIONS: The psychometric evaluation of the KSLTDS showed preliminary validity and reliability for assessing dependence on khaini, and therefore, it is appropriate for clinical and research purposes. Re-validation studies are required with various khaini user populations.

The Effectiveness of Virtual Reality Interventions on Smoking, Nutrition, Alcohol, Physical Activity and/or Obesity Risk Factors: A Systematic Review.

To our knowledge, no systematic reviews have examined the effectiveness of virtual reality (VR) interventions across all smoking, nutrition, alcohol, physical activity, and/or obesity (SNAPO) risk factors. This systematic review assessed the effectiveness of VR interventions on reducing SNAPO risks compared to control groups or other interventions. MEDLINE, EMBASE, Scopus, PsycINFO, and CENTRAL were searched to identify eligible studies published to 7 October 2021. Two reviewers independently completed screening, data extraction and quality assessment. Twenty-six studies were included, five on smoking, twelve on physical activity (PA), six on obesity, one on PA and obesity, one on obesity and nutrition, and one on obesity, nutrition and PA. VR was effective for smoking cessation in three studies and for smoking reduction in four studies. Seven studies had significantly higher PA in the VR group, and one study found significantly higher PA in a comparator group. Two studies showed VR was more effective at reducing BMI or weight than comparators. Three multiple health risks studies showed mixed results. The remaining studies found no significant difference between VR and control/comparators. VR appears promising for the treatment of smoking, nutrition, PA, and obesity risks; however, further randomised trials are needed.

Strategies for enhancing the implementation of school-based policies or practices targeting diet, physical activity, obesity, tobacco or alcohol use.

BACKGROUND: Several school-based interventions are effective in improving child diet and physical activity, and preventing excessive weight gain, and tobacco or harmful alcohol use. However, schools are frequently unsuccessful in implementing such evidence-based interventions. OBJECTIVES: 1. To evaluate the benefits and harms of strategies aiming to improve school implementation of interventions to address student diet, physical activity, tobacco or alcohol use, and obesity. 2. To evaluate the benefits and harms of strategies to improve intervention implementation on measures of student diet, physical activity, obesity, tobacco use or alcohol use; describe their cost or cost-effectiveness; and any harms of strategies on schools, school staff or students. SEARCH METHODS: We used standard, extensive Cochrane search methods. The latest search was between 1 September 2016 and 30 April 2021 to identify any relevant trials published since the last published review. SELECTION CRITERIA: We defined 'Implementation' as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised controlled trial (RCT) or non-randomised controlled trial (non-RCT)) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by students to 'no intervention', 'usual' practice or a different implementation strategy. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Given the large number of outcomes reported, we selected and included the effects of a single outcome measure for each trial for the primary (implementation) and secondary (student health behaviour and obesity) outcomes using a decision hierarchy. Where possible, we calculated standardised mean differences (SMDs) to account for variable outcome measures with 95% confidence intervals (CI). For RCTs, we conducted meta-analyses of primary and secondary outcomes using a random-effects model, or in instances where there were between two and five studies, a fixed-effect model. The synthesis of the effects for non-randomised studies followed the 'Synthesis without meta-analysis' (SWiM) guidelines. MAIN RESULTS: We included an additional 11 trials in this update bringing the total number of included studies in the review to 38. Of these, 22 were conducted in the USA. Twenty-six studies used RCT designs. Seventeen trials tested strategies to implement healthy eating, 12 physical activity and six a combination of risk factors. Just one trial sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials used multiple implementation strategies, the most common being educational materials, educational outreach and educational meetings. The overall certainty of evidence was low and ranged from very low to moderate for secondary review outcomes. Pooled analyses of RCTs found, relative to a control, the use of implementation strategies may result in a large increase in the implementation of interventions in schools (SMD 1.04, 95% CI 0.74 to 1.34; 22 RCTs, 1917 participants; low-certainty evidence). For secondary outcomes we found, relative to control, the use of implementation strategies to support intervention implementation may result in a slight improvement on measures of student diet (SMD 0.08, 95% CI 0.02 to 0.15; 11 RCTs, 16,649 participants; low-certainty evidence) and physical activity (SMD 0.09, 95% CI -0.02 to 0.19; 9 RCTs, 16,389 participants; low-certainty evidence). The effects on obesity probably suggest little to no difference (SMD -0.02, 95% CI -0.05 to 0.02; 8 RCTs, 18,618 participants; moderate-certainty evidence). The effects on tobacco use are very uncertain (SMD -0.03, 95% CIs -0.23 to 0.18; 3 RCTs, 3635 participants; very low-certainty evidence). One RCT assessed measures of student alcohol use and found strategies to support implementation may result in a slight increase in use (odds ratio 1.10, 95% CI 0.77 to 1.56; P = 0.60; 2105 participants). Few trials reported the economic evaluations of implementation strategies, the methods of which were heterogeneous and evidence graded as very uncertain. A lack of consistent terminology describing implementation strategies was an important limitation of the review. AUTHORS' CONCLUSIONS: The use of implementation strategies may result in large increases in implementation of interventions, and slight improvements in measures of student diet, and physical activity. Further research is required to assess the impact of implementation strategies on such behavioural- and obesity-related outcomes, including on measures of alcohol use, where the findings of one trial suggest it may slightly increase student risk. Given the low certainty of the available evidence for most measures further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.

Association between perceived addiction and cessation behaviours among users of smokeless or combustible tobacco in India.

INTRODUCTION: Addiction to tobacco is one of the main drivers of continued tobacco use. This study explored whether perceived addiction, type of tobacco and demographic characteristics were associated with past quit attempts (PQA), intention and self-efficacy to quit among combustible tobacco (CT) or smokeless tobacco (SLT) users in India. METHODS: A cross-sectional survey was conducted among adult tobacco users (N = 607) attending an out-patient department in Mumbai. Logistic regression analysis was used to investigate the association between demographic characteristics, type of tobacco, addiction perceptions and cessation behaviours. RESULTS: Being 'a little addicted' (adjusted odds ratio, AOR [95% confidence interval, CI] 2.75 [1.83, 4.11], P < 0.0001) or 'quite addicted' (AOR [95% CI] 2.93 [1.53, 5.62], P < 0.0012) was associated with lower odds of making a PQA compared to 'not addicted at all'. Being a SLT user (AOR [95% CI] 0.64 [0.41, 0.99], P = 0.047) and female (AOR [95% CI] 0.46 [0.26, 0.81], P = 0.0068) was associated with lower odds of making a PQA. There was a significant decrease in the odds of intention to quit as age increased by 1 year (AOR [95% CI] 0.98 [0.97, 0.99], P = 0.0018). Being identified as 'a little addicted' (AOR [95% CI] 0.28 [0.14, 0.55], P = 0.0003), 'quite addicted' (AOR [95% CI] 0.16 [0.07, 0.39], P < 0.0001) or 'very addicted' (AOR [95% CI] 0.09 [0.04, 0.19], P < 0.0001) was associated with lower odds of self-efficacy to quit compared to 'not addicted at all'. DISCUSSION AND CONCLUSION: Lack of awareness about addiction may inhibit cessation, particularly among less educated and female users of SLT and CT products.

The effectiveness of smoking cessation interventions in rural and remote populations: Systematic review and meta-analyses.

BACKGROUND: Rural and remote residents are more likely to smoke tobacco than those in major cities. However, they may experience unique systemic, provider, and individual barriers to accessing smoking cessation treatments, including distance and limited resources. Understanding the effectiveness of smoking cessation interventions in this population is important due to higher smoking-related disease burden and death compared to those in major cities. METHODS: Medline, EMBASE, Scopus, PsychINFO, and Cochrane Library were searched until 19-02/2021. Inclusion criteria were randomised controlled trials (RCTs), cluster RCTs, randomised trials, or cluster randomised trials investigating behavioural interventions and pharmacotherapies for smoking cessation in rural and remote populations compared with a control or another smoking cessation treatment; and published in English. Given there is no internationally-standardised rurality index, definitions of 'rural' and 'remote' used by authors of studies were applied to reflect their country. Exclusion criteria were studies of non-combustible smoking cessation; and studies with urban participants in the sample. Two reviewers independently screened records for eligibility, extracted data from studies utilising a modified Cochrane Effective Practice and Organisation of Care Group form, and rated methodological quality using the Quality Assessment Tool for Quantitative Studies. RESULTS: Sixteen studies were included. Meta-analysis revealed a statistically significant treatment effect of individual face-to-face counselling on smoking cessation (RR 2.35, 95% CI 1.16-4.76, I2=0%) in rural and remote populations. There was no statistically significant treatment effect for nicotine replacement therapy (RR 2.97, 95% CI 0.84-10.53, I2=47%), telephone-counselling (RR 1.69, 95% CI 0.56-5.06, I2=62%), and community-based multiple-interventions (RR:1.57, 95% CI 0.89-2.78, I2=85%). Certainty of evidence was rated very low for each meta-analysis. CONCLUSION: Despite limited resources in rural and remote settings, individual face-to-face counselling for smoking cessation appears promising. Given the limited number of studies, further research about the effectiveness of smoking cessation interventions in rural and remote populations is warranted.

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.

Addiction perceptions among users of smokeless or combustible tobacco attending a tertiary care hospital in India.

INTRODUCTION: Addiction plays a key role in continued tobacco use. The study assessed association of perceived personal addiction and the perceived addictiveness of different forms of tobacco with type of tobacco product used, demographic characteristics and socio-cultural factors. METHODS: A cross-sectional survey of 607 adult tobacco users with age 18 years and above attending a general medicine out-patient department was conducted. Participants were asked questions on perceived personal addiction to tobacco use and perception of addiction on tobacco products. Logistic regression was applied to investigate the association between demographic characteristics, type of tobacco, socio-cultural factors and addiction perceptions. RESULTS: The odds of perceived addiction (PA) were lower among smokeless tobacco (SLT) users [OR (95% CI): 0.57 (0.37, 0.89) P = 0.01]. An increase in the odds of PA was seen as age increased [OR (95% CI):1.02 (1.00, 1.03) P = 0.01] and participants with secondary education and above had higher odds of PA compared to participants with no formal education [OR (95% CI): 1.68 (1.09, 2.58) P = 0.02]. The odds of perceiving SLT products to be addictive was lower among SLT users [OR (95% CI): 0.48 (0.30, 0.75) P = 0.002)] compared to combustible tobacco users. The odds of perceiving SLT products to be addictive was lower [(OR (95% CI): 0.35 (0.18, 0.67) P = 0.002)] among females. Participants with secondary education and above had higher odds of perceiving combustible [OR (95% CI): 1.80 (1.17, 2.77) P = 0.008)] and SLT products [OR (95% CI): 1.98 (1.20, 3.30) P = 0.008)] to be addictive compared to no schooling. DISCUSSION AND CONCLUSIONS: There is a need to raise awareness in India of the addictiveness of tobacco, particularly for users of SLT, younger people and those with less education.

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.

Association between electronic nicotine delivery systems and electronic non-nicotine delivery systems with initiation of tobacco use in individuals aged < 20 years. A systematic review and meta-analysis.

BACKGROUND: This systematic review described the association between electronic nicotine delivery systems and electronic non-nicotine delivery systems (ENDS/ENNDS) use among non-smoking children and adolescents aged <20 years with subsequent tobacco use. METHODS: We searched five electronic databases and the grey literature up to end of September 2020. Prospective longitudinal studies that described the association between ENDS/ENNDS use, and subsequent tobacco use in those aged < 20 years who were non-smokers at baseline were included. The Joanna Briggs Institute Critical Appraisal Checklist was used to assess risk of bias. Data were extracted by two reviewers and pooled using a random-effects meta-analysis. We generated unadjusted and adjusted risk ratios (ARRs) describing associations between ENDS/ENNDS and tobacco use. FINDINGS: A total of 36 publications met the eligibility criteria, of which 25 were included in the systematic review (23 in the meta-analysis) after exclusion of overlapping studies. Sixteen studies had high to moderate risk of bias. Ever users of ENDS/ENNDS had over three times the risk of ever cigarette use (ARR 3·01 (95% CI: 2·37, 3·82; p<0·001, I2: 82·3%), and current cigarette use had over two times the risk (ARR 2·56 (95% CI: 1·61, 4·07; p<0·001, I2: 77·3%) at follow up. Among current ENDS/ENNDS users, there was a significant association with ever (ARR 2·63 (95% CI: 1·94, 3·57; p<0·001, I2: 21·2%)), but not current cigarette use (ARR 1·88 (95% CI: 0·34, 10·30; p = 0·47, I2: 0%)) at follow up. For other tobacco use, ARR ranged between 1·55 (95% CI 1·07, 2·23) and 8·32 (95% CI: 1·20, 57·04) for waterpipe and pipes, respectively. Additionally, two studies examined the use of ENNDS (non-nicotine devices) and found a pooled adjusted RR of 2·56 (95% CI: 0·47, 13·94, p = 0.035). CONCLUSION: There is an urgent need for policies that regulate the availability, accessibility, and marketing of ENDS/ENNDS to children and adolescents. Governments should also consider adopting policies to prevent ENDS/ENNDS uptake and use in children and adolescents, up to and including a ban for this group.

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.

Patterns and predictors of nicotine replacement therapy use among alcohol and other drug clients enrolled in a smoking cessation randomised controlled trial.

INTRODUCTION: Nicotine replacement therapy (NRT) use to support client smoking quit attempts is low and inconsistent at alcohol and other drug (AOD) treatment services. This study examined predictors of any NRT use and combination NRT use among AOD clients who were smokers. METHODS: The study was part of a cluster-RCT of an organisational change intervention to introduce smoking cessation support as part of routine treatment in 32 AOD services. The intervention provided AOD services with free NRT and training. Service clients completed baseline (n = 896), 8-week (n = 471) and 6.5-month (n = 427) follow-up surveys. Mixed-model logistic regression examined whether baseline socio-demographic and smoking variables were associated with single and combination NRT use. RESULTS: At 8-weeks follow-up 57% (n = 269/471), and at 6.5-months 33% (n = 143/427) of participants reported using at least one form of NRT. Odds of NRT use at 8-weeks follow-up were greater among participants from treatment vs control group (OR = 3.69, 95%CI 1.8-7.4; p < 0.001), higher vs lower nicotine dependence (OR = 1.74 95%CI 1.1-2.8; p = 0.024), or those motivated to quit (OR = 1.18 95%CI 1.0-1.4; p = 0.017). At 6.5-months, only the treatment arm remained significant. Combination NRT use at the 8-week follow-up was higher among those in treatment vs control group (OR = 2.75 95%CI 1.4-5.6; p = 0.005), or with higher vs lower nicotine dependence (OR = 2.12 95%CI 1.2-3.8; p = 0.014). No factors were associated with combination NRT use at 6.5-months. CONCLUSIONS: An organisational change intervention that supplied AOD services with NRT training and products to provide to clients during treatment significantly increases client single form and combination NRT use in the short term.

Alcohol and other drug health-care providers and their client's perceptions of e-cigarette use, safety and harm reduction.

INTRODUCTION: E-cigarettes containing nicotine may potentially assist cessation in a heavily nicotine-dependent population with high relapse and tobacco-related burden. This study aims to determine alcohol and other drug (AOD) health-care provider and client awareness, use and attitudes regarding harm reduction and safety of e-cigarettes. METHODS: The study was part of a larger cluster randomised controlled trial with 32 Australian AOD services. At a post-intervention survey conducted October 2016, health-care providers were asked whether they believed e-cigarettes could help smokers quit tobacco, whether they believe e-cigarettes are safer than tobacco smoking and whether they would recommend e-cigarettes to clients who are interested in quitting smoking. At the 6-month follow-up survey conducted January 2015-March 2016, AOD clients were asked about their e-cigarette knowledge, ever use, current use, reasons for use and place of purchase. RESULTS: One hundred and eighty health-care providers and 427 AOD clients responded. A minority of health-care providers agreed with the statements that e-cigarettes could help smokers quit tobacco (30%), while just under one-third (25%) agreed that e-cigarettes were safer than tobacco smoking. However, only 19% would recommend e-cigarettes. Most AOD clients (93%) reported awareness of e-cigarettes, 39% reported ever use; however, only 7% reported current use. Of those reporting ever use, 52% used a nicotine e-cigarette. The most common reasons for e-cigarette use were 'wanted to try' (72%) and 'help cut down smoking' (70%). DISCUSSION AND CONCLUSIONS: Both AOD health-care providers and clients are aware of e-cigarettes but are cautious in using and recommending their use.

Recruiting and retaining young adults: what can we learn from behavioural interventions targeting nutrition, physical activity and/or obesity? A systematic review of the literature.

OBJECTIVE: To describe strategies used to recruit and retain young adults in nutrition, physical activity and/or obesity intervention studies, and quantify the success and efficiency of these strategies. DESIGN: A systematic review was conducted. The search included six electronic databases to identify randomised controlled trials (RCT) published up to 6 December 2019 that evaluated nutrition, physical activity and/or obesity interventions in young adults (17-35 years). Recruitment was considered successful if the pre-determined sample size goal was met. Retention was considered acceptable if ≥80 % retained for ≤6-month follow-up or ≥70 % for >6-month follow-up. RESULTS: From 21 582 manuscripts identified, 107 RCT were included. Universities were the most common recruitment setting used in eighty-four studies (79 %). Less than half (46 %) of the studies provided sufficient information to evaluate whether individual recruitment strategies met sample size goals, with 77 % successfully achieving recruitment targets. Reporting for retention was slightly better with 69 % of studies providing sufficient information to determine whether individual retention strategies achieved adequate retention rates. Of these, 65 % had adequate retention. CONCLUSIONS: This review highlights poor reporting of recruitment and retention information across trials. Findings may not be applicable outside a university setting. Guidance on how to improve reporting practices to optimise recruitment and retention strategies within young adults could assist researchers in improving outcomes.

Multiple Health Risk Factors in Vocational Education Students: A Systematic Review.

Health risk factors such as tobacco smoking, inadequate fruit intake, inadequate vegetable intake, risky alcohol consumption, physical inactivity, obesity, anxiety and depression often commence during adolescence and young adulthood. Vocational education institutions enrol many students in these age groups making them an important setting for addressing multiple health risk factors. This systematic review examined (i) co-occurrence of health risk factors, (ii) clustering of health risk factors, and (iii) socio-demographic characteristics associated with co-occurrence and/or clusters of health risks among vocational education students. MEDLINE, PsycINFO, EMBASE, CINAHL and Scopus were searched to identify eligible studies published by 30 June 2020. Two reviewers independently extracted data and assessed methodological quality using the National Heart, Lung and Blood Institute Quality Assessment Tool. Five studies assessed co-occurrence and three studies clustering of health risks. Co-occurrence of health risk factors ranged from 29-98% and clustering of alcohol use and tobacco smoking was commonly reported. The findings were mixed about whether gender and age were associated with co-occurrence or clustering of health risks. There is limited evidence examining co-occurrence and clustering of health risk factors in vocational education students. Comprehensive assessment of how all these health risks co-occur or cluster in vocational education students is required.

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.