Web-Based Alcohol Intervention : Study of Systematic Attrition of Heavy Drinkers
2017-06-28, Radtke, Theda, Ostergaard, Mathias, Cooke, Richard, Scholz, Urte
Web-based alcohol interventions are a promising way to reduce alcohol consumption because of their anonymity and the possibility of reaching a high numbers of individuals including heavy drinkers. However, Web-based interventions are often characterized by high rates of attrition. To date, very few studies have investigated whether individuals with higher alcohol consumption show higher attrition rates in Web-based alcohol interventions as compared with individuals with lower alcohol consumption.
The aim of this study was to examine the attrition rate and predictors of attrition in a Web-based intervention study on alcohol consumption.
The analysis of the predictors of attrition rate was performed on data collected in a Web-based randomized control trial. Data collection took place at the University of Konstanz, Germany. A total of 898 people, which consisted of 46.8% males (420/898) and 53.2% females (478/898) with a mean age of 23.57 years (SD 5.19), initially volunteered to participate in a Web-based intervention study to reduce alcohol consumption. Out of the sample, 86.9% (781/898) were students. Participants were classified as non-completers (439/898, 48.9%) if they did not complete the Web-based intervention. Potential predictors of attrition were self-reported: alcohol consumption in the last seven days, per week, from Monday to Thursday, on weekends, excessive drinking behavior measured with the Alcohol Use Disorder Identification Test (AUDIT), and drinking motives measured by the Drinking Motive Questionnaire (DMQ-R SF).
Significant differences between completers and non-completers emerged regarding alcohol consumption in the last seven days (B=−.02, P=.05, 95% CI [0.97-1.00]), on weekends (B=−.05, P=.003, 95% CI [0.92-0.98]), the AUDIT (B=−.06, P=.007, 95% CI [0.90-0.98], and the status as a student (B=.72, P=.001, 95% CI [1.35-3.11]). Most importantly, non-completers had a significantly higher alcohol consumption compared with completers.
Hazardous alcohol consumption appears to be a key factor of the dropout rate in a Web-based alcohol intervention study. Thus, it is important to develop strategies to keep participants who are at high risk in Web-based interventions.
Trait Versus State : Effects of Dispositional and Situational Compensatory Health Beliefs on High-Calorie Snack Consumption
2014, Radtke, Theda, Inauen, Jennifer, Rennie, Laura, Orbell, Sheina, Scholz, Urte
Compensatory health beliefs (CHBs)–beliefs that an unhealthy behavior can be compensated for by a healthy behavior–can be distinguished into trait and state beliefs. Trait CHBs are stable individual differences, whereas state CHBs are activated in a tempting situation–for example, when faced with an attractive snack. The aim of this study was to test whether diet-specific trait or state CHBs are predictive for an unhealthy behavior–namely, high-calorie snack consumption. A scenario was created in which 66 women aged 16 to 50 were faced with a high-calorie snack. Diet-specific trait and state CHBs correlated moderately with each other. Regression analyses revealed that diet-specific trait CHBs with exercise as the compensatory behavior were significantly predictive for high-calorie snack consumption, over and above control variables such as age, whereas state CHBs were only marginally significant. Diet-specific trait and state CHBs with reduced intake (eat less later) as the compensatory behavior were not related to high-calorie snack consumption. Results showed that trait CHBs are relevant for the prediction of high-calorie snack consumption. Future studies might want to further refine the measurement of CHBs, especially state CHBs.
Are diet-specific compensatory health beliefs predictive of dieting intentions and behaviour?
2014-05, Radtke, Theda, Kaklamanou, Daphne, Scholz, Urte, Hornung, Rainer, Armitage, Christopher J.
Compensatory Health Beliefs (CHBs) – beliefs that an unhealthy behaviour can be compensated for by healthy behaviour – are hypothesised to be activated automatically to help people resolve conflicts between their desires (e.g. eat chocolate) and their long-term goals (e.g. dieting). The aim of the present research was to investigate diet-specific CHBs within the context of a theoretical framework, the Health Action Process Approach (HAPA), to examine the extent to which diet-specific CHBs contribute to dieting intentions and dietary intake. Seventy-five dieting women were recruited in Switzerland and England and were asked to complete measures of diet-specific CHBs, risk perception, outcome expectancies, self-efficacy, intention, and behaviour. Path modelling showed that, overall, diet-specific CHBs were not related to dieting intentions (β = .10) or behaviour (β = .06) over and above variables specified in the HAPA. However, risk perception moderated the relationship between diet-specific CHBs and intention (β = .26). Diet-specific CHBs positively predicted intention in women with high risk perception, but not in women with low risk perception. This positive relationship might be explained by the assumption that CHBs play different roles at different stages of the health-behaviour change process. Future studies should further examine moderators and stage-specific differences of the associations between CHBs, intention and health-behaviour change.
Percerption of smokers : Results from the Tobacco Monitoring Switzerland
2011, Radtke, Theda, Keller, Roger, Bütikofer, Andrea, Hornung, Rainer
The purpose of the study is to present adolescents' perceptions of smokers and non-smokers among 1015 Swiss adolescents.
The analyses are based on data from Tobacco Monitoring Switzerland, which is a survey of tobacco consumption in Switzerland. To measure the perceptions of smokers and non-smokers, respondents were asked to attribute a series of adjectives to each group. It was also recorded when respondents mentioned that "there is no difference between smokers and non-smokers."
Results show that regardless of whether the adolescents smoked or did not smoke – with the exception of more sociable – the image of smokers was more negative than the image of non-smokers. Findings also indicated that regular smokers in particular often stated that there are no differences between both groups.
Overall, the image of smokers is more negative than the image of non-smokers, with the exception of the attribute more sociable. This perception of smokers could be important for prevention measures in new contexts (e. g., school transitions), where smoking could be a means of establishing new social ties.
Predicting physical activity in adolescents : The role of compensatory health beliefs within the Health Action Process Approach
2014, Berli, Corina, Loretini, Philipp, Radtke, Theda, Hornung, Rainer, Scholz, Urte
Objective: Compensatory health beliefs (CHBs), defined as beliefs that healthy behaviours can compensate for unhealthy behaviours, may be one possible factor hindering people in adopting a healthier lifestyle. This study examined the contribution of CHBs to the prediction of adolescents’ physical activity within the theoretical framework of the Health Action Process Approach (HAPA).
Design: The study followed a prospective survey design with assessments at baseline (T1) and two weeks later (T2).
Method: Questionnaire data on physical activity, HAPA variables and CHBs were obtained twice from 430 adolescents of four different Swiss schools. Multilevel modelling was applied.
Results: CHBs added significantly to the prediction of intentions and change in intentions, in that higher CHBs were associated with lower intentions to be physically active at T2 and a reduction in intentions from T1 to T2. No effect of CHBs emerged for the prediction of self-reported levels of physical activity at T2 and change in physical activity from T1 to T2.
Conclusion: Findings emphasise the relevance of examining CHBs in the context of an established health behaviour change model and suggest that CHBs are of particular importance in the process of intention formation.