This paper describes a survey on the prevalence and nature of cyberbullying of and by youngsters and the parental perceptions. Two questionnaires, one for youngsters and one for their parents, were sent to 1,211 final-year pupils of primary schools and first-year pupils of all levels of secondary schools and their parents. Pupils completed the questionnaires in their classroom, and parents completed them at home. The results show that about 16% of the youngsters had engaged in bullying via the Internet and text messages, while about 23% of the youngsters had been victims of cyberbullying. Cyberbullying seems to be a rather anonymous, individualistic activity, which primarily takes place at home. The most frequently used nature of harassment were name-calling and gossiping. Youngsters mostly react to cyberbullying by pretending to ignore it, by really ignoring it, or by bullying the bully. Most parents set rules for their children about the way to they should use the Internet but are not really conscious of the harassments. They underestimate their own children's bullying behavior and have insufficient notion of their children as victims of bullying.

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BackgroundPhysical activity (PA) is beneficial in improving negative physical and psychological effects of cancer and cancer treatment, but adherence to PA guidelines is low. Computer-tailored PA interventions can reach large populations with little resources. They match with patients’ preference for home-based, unsupervised PA programs and are thus promising for the growing population of cancer survivors. The current study assessed the efficacy of a computer-tailored PA intervention in (four subgroups of) prostate and colorectal cancer survivors.MethodsProstate and colorectal cancer patients and survivors were randomized to the OncoActive intervention group (N = 249), or a usual-care waiting-list control group (N = 229). OncoActive participants received a pedometer and computer-tailored PA advice, both Web-based via an interactive website and with printed materials. Minutes moderate-to-vigorous PA (MVPA) and days ≥30 min PA were assessed with an accelerometer (ActiGraph) at baseline and 6 months. Further, questionnaires were used to assess self-reported PA, fatigue, distress, and quality of life at baseline, 3 and 6 months. Differences between both groups were assessed using linear regression analyses (complete cases and intention-to-treat). In addition, efficacy in relation to age, gender, education, type of cancer, and time since treatment was examined.ResultsThree months after baseline OncoActive participants significantly increased their self-reported PA (PA days: d = 0.46; MVPA: d = 0.23). Physical functioning (d = 0.23) and fatigue (d = − 0.21) also improved significantly after three months. Six months after baseline, self-reported PA (PA days: d = 0.51; MVPA: d = 0.37) and ActiGraph MVPA (d = 0.27) increased significantly, and ActiGraph days (d = 0.16) increased borderline significantly (p = .05; d = 0.16). Furthermore, OncoActive participants reported significantly improvements in physical functioning (d = 0.14), fatigue (d = − 0.23) and depression (d = − 0.32). Similar results were found for intention-to-treat analyses. Higher increases in PA were found for colorectal cancer participants at 3 months, and for medium and highly educated participants’ PA at 6 months. Health outcomes at 6 months were more prominent in colorectal cancer participants and in women.ConclusionsThe OncoActive intervention was effective at increasing PA in prostate and colorectal cancer patients and survivors. Health-related effects were especially apparent in colorectal cancer participants. The intervention provides opportunities to accelerate cancer recovery. Long-term follow-up should examine further sustainability of these effects.Trial registrationThe study was registered in the Dutch Trial Register (NTR4296) on October 17 2018.Electronic supplementary materialThe online version of this article (10.1186/s12966-018-0734-9) contains supplementary material, which is available to authorized users.

To date, few Internet-delivered smoking cessation interventions have been tested. This study tested the efficacy, understandability, credibility and personal relevance of an e-mail-delivered computer-tailored smoking cessation intervention. It included tailored action plan feedback, as recent studies have demonstrated the importance of planning in facilitating quitting smoking. Participants (Dutch adults) were randomly assigned to the intervention (computer-tailored e-mail; N = 224) or the control group (generic, non-tailored e-mail; N = 234). The results 6 months after baseline (N = 195) showed that significantly more participants in the intervention group reported not having smoked in the last 24 hours (21.5%) and 7 days (20.4%) in contrast with participants in the control group (9.8 and 7.8%, respectively). Intention-to-treat analyses revealed similar results, though overall lower quitting percentages. Furthermore, participants in the intervention group appreciated the computer-tailored e-mail significantly more in terms of understandability, credibility and personal relevance. Hence, the computer-tailored intervention is effective for the Dutch smoking population motivated to quit smoking. Further research is needed into the efficacy of the intervention for smokers who are not motivated to quit smoking and into the benefits of (multiple) e-mail-delivered tailored letters with tailored action plan feedback over and above tailoring without action plan feedback.

Purpose The web-based computer-tailored Kanker Nazorg Wijzer (Cancer Aftercare Guide) supports cancer survivors with psychosocial issues during cancer recovery. The current study investigates whether the 6-month effects in increasing emotional and social functioning and reducing depression and fatigue hold at 12 months from baseline. Moreover, it explores whether patient characteristics moderate the 6-and 12-month intervention effectiveness. Methods Cancer survivors from 21 Dutch hospitals (November 2013-June 2014) were randomized to an intervention (n = 231) or a wait-list control group (n = 231). Intervention effects on emotional and social functioning (EORTC QLQ-C30), depression (HADS), and fatigue (CIS) were evaluated through multilevel linear regression analyses. Results At 12 months from baseline, the intervention group no longer differed from the control group in emotional and social functioning, depression, and fatigue. Moderator analyses indicated that, at 6 months, the intervention was effective in improving social functioning for men (d = 0.34), reducing fatigue for participants ≤56 years (d = 0.44), and reducing depression for participants who received chemotherapy (d = 0.36). At 12 months, participants with a medium educational level reported higher social functioning (d = 0.19), while participants with a low educational level reported lower social functioning (d = 0.22) than participants with a similar educational level in the control group. Conclusions The intervention gave cancer patients a head start to psychological recovery after the end of cancer treatment. The control group caught up in the long run. Implications for cancer survivors The Cancer Aftercare Guide expedited recovery after cancer treatment. Being a low intensity, easy accessible, and relatively low cost intervention , it could serve as a relevant step in recovery and stepped care.

BackgroundWeb-based computer-tailored approaches have the potential to be successful in supporting smoking cessation. However, the potential effects of such approaches for relapse prevention and the value of incorporating action planning strategies to effectively prevent smoking relapse have not been fully explored. The Stay Quit for You (SQ4U) study compared two Web-based computer-tailored smoking relapse prevention programs with different types of planning strategies versus a control group.ObjectivesTo assess the efficacy of two Web-based computer-tailored programs in preventing smoking relapse compared with a control group. The action planning (AP) program provided tailored feedback at baseline and invited respondents to do 6 preparatory and coping planning assignments (the first 3 assignments prior to quit date and the final 3 assignments after quit date). The action planning plus (AP+) program was an extended version of the AP program that also provided tailored feedback at 11 time points after the quit attempt. Respondents in the control group only filled out questionnaires. The study also assessed possible dose–response relationships between abstinence and adherence to the programs.MethodsThe study was a randomized controlled trial with three conditions: the control group, the AP program, and the AP+ program. Respondents were daily smokers (N = 2031), aged 18 to 65 years, who were motivated and willing to quit smoking within 1 month. The primary outcome was self-reported continued abstinence 12 months after baseline. Logistic regression analyses were conducted using three samples: (1) all respondents as randomly assigned, (2) a modified sample that excluded respondents who did not make a quit attempt in conformance with the program protocol, and (3) a minimum dose sample that also excluded respondents who did not adhere to at least one of the intervention elements. Observed case analyses and conservative analyses were conducted.ResultsIn the observed case analysis of the randomized sample, abstinence rates were 22% (45/202) in the control group versus 33% (63/190) in the AP program and 31% (53/174) in the AP+ program. The AP program (odds ratio 1.95, P = .005) and the AP+ program (odds ratio 1.61, P = .049) were significantly more effective than the control condition. Abstinence rates and effects differed per sample. Finally, the results suggest a dose–response relationship between abstinence and the number of program elements completed by the respondents.ConclusionDespite the differences in results caused by the variation in our analysis approaches, we can conclude that Web-based computer-tailored programs combined with planning strategy assignments and feedback after the quit attempt can be effective in preventing relapse 12 months after baseline. However, adherence to the intervention seems critical for effectiveness. Finally, our results also suggest that more research is needed to assess the optimum intervention dose.Trial RegistrationDutch Trial Register: NTR1892; http://www.trialregister.nl/trialreg...

PurposeThe web-based Kanker Nazorg Wijzer (Cancer Aftercare Guide) responds to the needs of cancer survivors and oncology care providers to improve the counseling related to self-management of lifestyle and psychosocial challenges. In present study, overall intervention effects and the effects of using specific components were evaluated on vegetable, fruit, whole grain bread, and fish consumption, physical activity (PA), and smoking behavior.MethodsCancer survivors from 21 Dutch hospitals were recruited for a randomized controlled trial (N = 432). Intervention effects after 6 months were evaluated using multilevel linear regression analysis (complete cases and intention-to-treat). By conducting moderation analyses, additional effects of following the behavior-related modules were explored. The false discovery rate correction was applied to account for multiple testing.ResultsAfter 6 months, 409 participants completed follow-up (dropout = 11.5 %). Indications were found that access to the intervention may result in increases of moderate PA and vegetable intake. The moderate PA increase was meaningful: 74.74 min p/w higher increase in the intervention condition. Effect sizes of moderate PA (d = .25) and vegetable (d = .37) consumption were comparable to prior effective interventions. Visiting behavior-related modules affected moderate PA, fruit, and fish consumption. However, after correction for multiple testing, significances expired. No significant intervention effect was found on smoking behavior due to low numbers of smokers.Implications for Cancer SurvivorsAlthough the effectiveness was only shown only to a limited extend, this study provided several indications that this theory-based, comprehensive, and personalized eHealth intervention provides valuable content to complement usual cancer aftercare.

With respect to health risk behaviours, many people are unaware of their own risk behaviour and regard their behaviour as more healthy than it really is. This article studied differences between people with and without misperception of their physical activity with respect to several reference points: the social comparison style of people (upward, equal and downward); the body self-image with regard to their weight [body mass index (BMI) and self-rated weight]; and linkages of physical activity with different outcome expectancies (health, appearance, weight, feeling fit, relaxation and stress relief). Results from 516 respondents (response 52%; 56% women) with a mean age of 53.7 years found that respondents who incorrectly think that their physical activity is adequate (overestimators) tend to rate their physical activity more often in comparison to others. Furthermore, overestimators and people who correctly think they exercise enough more often use downward comparison, while underestimators and people who know they exercise too little mostly use upward comparison. People who, rightly or not, think their weight is adequate or who have a lower BMI, more often assume that their physical activity is sufficient or high. People who, rightly or not, think that their physical activity is adequate more often score higher on other reasons to be physically active besides health. Increasing the accuracy of people's self-perceptions of physical activity may be important to incorporate into strategies to promote physical activity in populations at risk of inactivity.