Suchergebnisse

Abstract. Compensatory health beliefs (CHBs), defined as belief that an unhealthy behavior can be compensated by engaging in another healthy behavior, are negatively predictive of health-behavior change intentions and behavior. However, CHBs have to be distinguished from compensatory health behavior (CBs), which is defined as compensatory behavior that an individual engages in. As it has not been investigated to date, the aim of this study was to systematically examine the distinction between CHBs and CBs in the context of alcohol consumption. The baseline sample consisted of 898 participants (mainly students, mean age = 23.57 years). For running exploratory and confirmatory factor analyses on CHBs and CBs, the split-half sample method was used. Moreover, the relationships of CHBs and CBs with health-related variables were assessed by regression analyses. The cross-sectional analyses supported the distinction between CHBs and CBs. In contrast to the CHBs, CBs were positively predictive of the intention to drink less alcohol and alcohol consumption. The consideration of CBs when investigating health behavior is highly relevant.

Aim: The purpose of the study is to present adolescents' perceptions of smokers and non-smokers among 1015 Swiss adolescents. Method: 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: 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. Conclusions: 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.

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.

This study constitutes the first psychometric examination of the German-language version of the Compensatory Health Belief (CHB) scale to assess the belief that unhealthy behavior can be compensated for by engaging in healthy behavior. Data from four different Swiss samples of 1,571 adolescents/students (age range 15 – 55 years), collected between 2007 and 2009, were used. Confirmatory factor analysis did not support either the hypothesized 4-factor structure or a second-order factor structure with a latent overall variable for the German-language CHB scale. These results support the inconsistent patterns of CHBs found across European cultures. Thus, the development of behavior-specific scales might be of advantage. Further recommendations for an improvement of the measurement of compensatory health beliefs are discussed.

Smartphone use, e.g., on social network sites or instant messaging, can impair well-being and is related to clinical phenomena, like depression. Digital detox interventions have been suggested as a solution to reduce negative impacts from smartphone use on outcomes like well-being or social relationships. Digital detox is defined as timeouts from using electronic devices (e.g., smartphones), either completely or for specific subsets of smartphone use. However, until now, it has been unclear whether digital detox interventions are effective at promoting a healthy way of life in the digital era. This systematic literature review aimed to answer the question of whether digital detox interventions are effective at improving outcomes like health and well-being, social relationships, self-control or performance. Systematic searches of seven databases were carried out according to PRISMA guidelines, and intervention studies were extracted that examined timeouts from smartphone use and/or smartphone-related use of social network sites and instant messaging. The review yielded k = 21 extracted studies (total N = 3,625 participants). The studies included interventions in the field, from which 12 were identified as randomized controlled trials. The results showed that the effects from digital detox interventions varied across studies on health and well-being, social relationships, self-control, or performance. For example, some studies found positive intervention effects, whereas others found no effect or even negative consequences for well-being. Reasons for these mixed findings are discussed. Research is needed to examine mechanisms of change to derive implications for the development of successful digital detox interventions.