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Introduces computerized tailoring and provides a brief overview of its elements and applications as well as of the papers of this issue. The articles describe the application of behavioral change theories to this new approach, advantages of computer-tailored intervention over more general mass media approaches, their effectiveness and future directions for research. (Author/GCP)

Background Smoking cessation is the single most effective action for secondary prevention of coronary heart disease (CHD). It significantly reduces the risk of mortality, re-hospitalization and reoccurrence after a coronary [...], Smoking cessation interventions for cardiac patients need improvement given their weak effects on long-term abstinence rates and low compliance by nurses to implementation. This study tested the effectiveness of two smoking cessation interventions against usual care in cardiac patients, and conditional effects for patients' motivation to quit and socio-economic status (SES). An experimental study was conducted from 2009 to 2012 for which Dutch cardiac patient smokers were assigned to: usual care (UC; n = 245), telephone counseling (TC; n = 223) or face-to-face counseling (FC; n = 157). The three groups were comparable at baseline and had smoked on average 21 cigarettes a day before hospitalization. After six months, interviews occurred to assess self-reported smoking status. Patients in the TC and FC group had significantly higher smoking abstinence rates than patients in the UC group (p ≤ 0.05 at all times). Regression analysis further revealed significant conditional effects of the interventions on smoking abstinence in patients with lower SES, with a larger effect for TC than FC when compared to UC. These findings suggest that intensive counseling is effective in increasing short-term abstinence rates, particularly in patients with lower SES. Future studies need to investigate how patients with higher SES can profit equally from these type of interventions. Keywords Coronary heart disease * Smoking cessation * Telephone counseling * Face-to-face counseling * Socio-economic status * Effectiveness study

Background: Cannabis use is increasing among Andalusian adolescents, causing health, social and financial problems. School nurses visit schools and provide health promotion to adolescents in Andalusia. In order to better tailor health promotion programs, it is important to understand the sociodemographic and motivational factors related to cannabis use in Andalusian adolescents. Design/Methods: In this cross‐sectional study, 369 students (aged 15–18 years) from secondary schools in Andalusia were involved. An anonymous questionnaire based on the I‐Change Model was self‐administered during school hours. Cannabis users were compared with non‐cannabis users regarding sociodemographic and motivational factors. Contingency tables, mean comparison tests, and logistic regression analyses were conducted. Results: The prevalence of cannabis use in the last year was 21.6%. Non‐cannabis users had a few positive beliefs toward cannabis use (e.g. the ability to relax or medical benefits), as well as users. Users recognized some disadvantages of cannabis use but played down their importance and mentioned more advantages. Moreover, social influence, especially from peers, plays a critical role in cannabis use. Specific social situations and moods seemed to be special risk factors for cannabis use, such as being at a celebration or feeling good. Results of regression analysis showed that cannabis use is mainly associated with age, low family function, low family affluence, high pocket money, perceiving few disadvantages of cannabis use, much social modeling of cannabis use, social norm and pressure favoring cannabis, low self‐efficacy to resist using cannabis and positive intentions to use cannabis. Conclusions: Based on our results, prevention programmes lead by nurses can be tailored to the factors important to prevent cannabis use, focusing on outlining the disadvantages of cannabis use, alternatives for using cannabis when feeling good, increasing salience of healthy social influences and reinforcing self‐efficacy to resist temptations to use cannabis are recommended. Clinical Relevance: Nurses need to know the sociodemographic factors and motivations associated with the use of cannabis in adolescents in order to establish effective preventive interventions at school. [ABSTRACT FROM AUTHOR]

Author(s): Heleen Riper 1,2,3,*, Adriaan Hoogendoorn 2,3, Pim Cuijpers 1,3, Eirini Karyotaki 1,3, Nikolaos Boumparis 1,3, Adriana Mira 4,5, Gerhard Andersson 6,7, Anne H. Berman 7,8, Nicolas Bertholet 9, Gallus [...], Background Face-to-face brief interventions for problem drinking are effective, but they have found limited implementation in routine care and the community. Internet-based interventions could overcome this treatment gap. We investigated effectiveness and moderators of treatment outcomes in internet-based interventions for adult problem drinking (iAIs). Methods and findings Systematic searches were performed in medical and psychological databases to 31 December 2016. A one-stage individual patient data meta-analysis (IPDMA) was conducted with a linear mixed model complete-case approach, using baseline and first follow-up data. The primary outcome measure was mean weekly alcohol consumption in standard units (SUs, 10 grams of ethanol). Secondary outcome was treatment response (TR), defined as less than 14/21 SUs for women/men weekly. Putative participant, intervention, and study moderators were included. Robustness was verified in three sensitivity analyses: a two-stage IPDMA, a one-stage IPDMA using multiple imputation, and a missing-not-at-random (MNAR) analysis. We obtained baseline data for 14,198 adult participants (19 randomised controlled trials [RCTs], mean age 40.7 [SD = 13.2], 47.6% women). Their baseline mean weekly alcohol consumption was 38.1 SUs (SD = 26.9). Most were regular problem drinkers (80.1%, SUs 44.7, SD = 26.4) and 19.9% (SUs 11.9, SD = 4.1) were binge-only drinkers. About one third were heavy drinkers, meaning that women/men consumed, respectively, more than 35/50 SUs of alcohol at baseline (34.2%, SUs 65.9, SD = 27.1). Post-intervention data were available for 8,095 participants. Compared with controls, iAI participants showed a greater mean weekly decrease at follow-up of 5.02 SUs (95% CI -7.57 to -2.48, p < 0.001) and a higher rate of TR (odds ratio [OR] 2.20, 95% CI 1.63-2.95, p < 0.001, number needed to treat [NNT] = 4.15, 95% CI 3.06-6.62). Persons above age 55 showed higher TR than their younger counterparts (OR = 1.66, 95% CI 1.21-2.27, p = 0.002). Drinking profiles were not significantly associated with treatment outcomes. Human-supported interventions were superior to fully automated ones on both outcome measures (comparative reduction: -6.78 SUs, 95% CI -12.11 to -1.45, p = 0.013; TR: OR = 2.23, 95% CI 1.22-4.08, p = 0.009). Participants treated in iAIs based on personalised normative feedback (PNF) alone were significantly less likely to sustain low-risk drinking at follow-up than those in iAIs based on integrated therapeutic principles (OR = 0.52, 95% CI 0.29-0.93, p = 0.029). The use of waitlist control in RCTs was associated with significantly better treatment outcomes than the use of other types of control (comparative reduction: -9.27 SUs, 95% CI -13.97 to -4.57, p < 0.001; TR: OR = 3.74, 95% CI 2.13-6.53, p < 0.001). The overall quality of the RCTs was high; a major limitation included high study dropout (43%). Sensitivity analyses confirmed the robustness of our primary analyses. Conclusion To our knowledge, this is the first IPDMA on internet-based interventions that has shown them to be effective in curbing various patterns of adult problem drinking in both community and healthcare settings. Waitlist control may be conducive to inflation of treatment outcomes.

Introduction One of the central prerequisites for engaging in health-related behaviors is that people need to consider themselves at risk for a particular health threat. This assumption is fundamental in [...], Affect is gaining prominence in health behavior research. However, little is known about the relative influence on behavior of specific affectively-laden beliefs about health risks (affective likelihood, worry, anticipated regret), particularly in comparison to cognitive likelihood beliefs. We investigated this issue in relation to two very different cancer-related behaviors. In two prospective studies [tobacco use (N = 1,088); sunscreen use (N = 491)], hierarchical linear and logistic regression analyses revealed that affectively-laden risk beliefs predicted intentions and behaviors more strongly than cognitive likelihood beliefs. Cognitive likelihood contributed independently only for sunscreen use intentions. Smoking-related outcomes were most strongly associated with anticipated regret. Sunscreen-related outcomes were most strongly associated with affective likelihood. Affectively-laden beliefs might be stronger predictors of some cancer-related behaviors than traditional cognitive likelihood measures. Including affective aspects of health risk beliefs in health behavior interventions and theoretical models, including investigating their interrelationships in different behavioral contexts, could advance both theory and practice. Keywords Worry * Anticipated regret * Affect * Risk perception * Cancer prevention