Affective Consequences of Social Comparisons by Women With Breast Cancer: An Experiment.

OBJECTIVE: People with severe illness often meet and compare themselves with other patients. Some of these comparison standards do well, others do poorly. Such comparisons could have positive as well as negative consequences depending on whether people identify or contrast from the standard. In the present study, we examine whether patients with breast cancer can benefit from comparisons by engaging in favorable comparison processes. DESIGN: 102 women diagnosed with breast cancer were randomly assigned to read a (fictitious) self-report from a well or poorly adjusted breast cancer patient. MAIN OUTCOME MEASURES: Participants reported their affective reaction (mood, anxiety, depression) and specified their comparison process (identification or contrast). RESULTS: In general, participants engaged in favorable comparison processes by contrasting predominantly with poorly adjusted patients, and identifying with well-adjusted ones. PARTICIPANTS' MOOD ASSIMILATED TO THE STANDARD: Participants reported more positive mood after having been exposed to the well-adjusted than the poorly adjusted standard. ANXIETY AND DEPRESSION VARIED WITH THE TYPE OF COMPARISON PROCESS: It was lower the more they avoided unfavorable comparisons (contrasting with the well-adjusted patient and identifying with the poorly adjusted one). CONCLUSION: Patients adjust their comparison processes to the standard to experience favorable comparisons. Especially avoiding unfavorable comparison processes reduces the risk of negative consequences after encountering other patients. Thus, patients may profit from comparisons as long as they engage in the right process.

When your goals inspire my goals: the role of effort, personal value, and inference in goal contagion.

Just observing other people can influence what we do. Under certain conditions, it inspires us to strive for the same goal as the other person. Such goal contagion occurs, because one first automatically infers the goal and then adopts it for oneself. In a series of three experiments (overall N = 840 university students), we investigated personal goal value and the observed person's effort as moderators of goal contagion, which is mediated by goal inference. In all three experiments, participants read a brief story about a student who either wants to earn money (target goal) or to do an internship (control) and expects to show much or little effort. In Studies 1a and b, goal inference was the dependent variable, whereas in Study 2, we considered the full moderated-mediation model and measured how strongly participants pursue the goal to earn money. We aimed at locating the moderators within this two-step process. We hypothesized that high effort increases goal inference, whereas personal goal value strengthens the relationship between goal inference and goal adoption. Across experiments, we did find evidence for explicit and spontaneous, but not for implicit goal inference. Furthermore, participants did not pursue to earn money to a different degree across conditions and different degrees of goal value. Taken together, neither the moderated-mediation process nor the basic goal contagion effect was supported. Results are discussed in the light of other published studies on goal contagion and the current Replication Crisis.

Improving Self-Control: The Influence of Role Models on Intertemporal Choices.

The ability to delay rewards is one of the most useful qualities one may wish to develop. People who possess this quality achieve more successful careers, display better interpersonal skills and are less vulnerable to psychopathology, obesity or addictions. In the present online studies, we investigated the extent to which delay-of-reward behaviors in female participants can be improved by observing others mastering it. We developed an intertemporal choice (IC) paradigm in which participants had to make fictitious choices between sooner smaller rewards and later bigger ones (e.g., $150 in 1 week vs. $170 in 4 weeks). In Study 1 (N = 186), we found that participants who delayed more had higher socioeconomic statuses and were less likely to procrastinate, smoke or develop obesity. In Study 2 (N = 178), we exposed female participants to a role model who, faced with ICs, chose most of the time the delayed option. Results showed that, although participants were only asked to memorize the model's decisions, they tended to choose the delayed option more often after than before exposure to the model. In Study 3 (N = 148), we found that the direction of the influence depended on the model's behavior: our female participants delayed more after having seen a high delay than a low delay model. In Study 4 (N = 370), we confirmed the effect of modeling on ICs in comparison to a control condition and showed that this effect was still significant 3 months after exposure to the model. Altogether, these results speak in favor of a high efficacy of modeling to develop self-control in women.

Inspired to Lend a Hand? Attempts to Elicit Prosocial Behavior Through Goal Contagion.

Helping often occurs in a broader social context. Every day, people observe others who require help, but also others who provide help. Research on goal contagion suggests that observing other people's goal-directed behavior (like helping) activates the same goal in the observer. Thus, merely observing a prosocial act could inspire people to act on the same goal. This effect should be even stronger, the more the observer's disposition makes him or her value the goal. In the case of prosocial goals, we looked at the observer's social value orientation (SVO) as a moderator of the process. In three studies (N = 126, N = 162, and N = 371), we tested the hypothesis that prosocial observations (vs. control) will trigger more subsequent casual prosocial behavior the more the observer is prosocially oriented. In line with the original research, we used texts as stimulus material in Study 1 and short video clips in Study 2 and 3. In Study 1 and 2, SVO was measured directly before the manipulation was induced and in Study 3 even a week prior to the actual experiment. Additionally, we included a second control condition video clip in Study 3, which did not depict human beings. Despite thoroughly developed stimulus material and methods, we found no support for an effect of the interaction, nor of the prosocial observation, but some support for an effect of SVO on casual helping behavior in Study 1 and 2. A mini meta-analysis revealed an effect equivalent to zero for goal contagion and a small, but robust SVO effect across studies. The main implication for the theory of goal contagion is that prosocial goals might not be as contagious as other goals addressed in the literature. We suggest a meta-analytic review of the literature to identify suitable goals and moderators for the goal contagion process.

Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression.

BACKGROUND: Mobile technology gives researchers unimagined opportunities to design new interventions to increase physical activity. Unfortunately, it is still unclear which elements are useful to initiate and maintain behavior change. OBJECTIVE: In this meta-analysis, we investigated randomized controlled trials of physical activity interventions that were delivered via mobile phone. We analyzed which elements contributed to intervention success. METHODS: After searching four databases and science networks for eligible studies, we entered 50 studies with N=5997 participants into a random-effects meta-analysis, controlling for baseline group differences. We also calculated meta-regressions with the most frequently used behavior change techniques (behavioral goals, general information, self-monitoring, information on where and when, and instructions on how to) as moderators. RESULTS: We found a small overall effect of the Hedges g=0.29, (95% CI 0.20 to 0.37) which reduced to g=0.22 after correcting for publication bias. In the moderator analyses, behavioral goals and self-monitoring each led to more intervention success. Interventions that used neither behavioral goals nor self-monitoring had a negligible effect of g=0.01, whereas utilizing either technique increased effectiveness by Δg=0.31, but combining them did not provide additional benefits (Δg=0.36). CONCLUSIONS: Overall, mHealth interventions to increase physical activity have a small to moderate effect. However, including behavioral goals or self-monitoring can lead to greater intervention success. More research is needed to look at more behavior change techniques and their interactions. Reporting interventions in trial registrations and articles need to be structured and thorough to gain accurate insights. This can be achieved by basing the design or reporting of interventions on taxonomies of behavior change.

Coping with Self-Threat and the Evaluation of Self-Related Traits: An fMRI Study.

A positive view of oneself is important for a healthy lifestyle. Self-protection mechanisms such as suppressing negative self-related information help us to maintain a positive view of ourselves. This is of special relevance when, for instance, a negative test result threatens our positive self-view. To date, it is not clear which brain areas support self-protective mechanisms under self-threat. In the present functional magnetic resonance imaging (fMRI) study the participants (N = 46) received a (negative vs. positive) performance test feedback before entering the scanner. In the scanner, the participants were instructed to ascribe personality traits either to themselves or to a famous other. Our results showed that participants responded slower to negative self-related traits compared to positive self-related traits. High self-esteem individuals responded slower to negative traits compared to low self-esteem individuals following a self-threat. This indicates that high self-esteem individuals engage more in self-enhancing strategies after a threat by inhibiting negative self-related information more successfully than low self-esteem individuals. This behavioral pattern was mirrored in the fMRI data as dACC correlated positively with trait self-esteem. Generally, ACC activation was attenuated under threat when participants evaluated self-relevant traits and even more for negative self-related traits. We also found that activation in the ACC was negatively correlated with response times, indicating that greater activation of the ACC is linked to better access (faster response) to positive self-related traits and to impaired access (slower response) to negative self-related traits. These results confirm the ACC function as important in managing threatened self-worth but indicate differences in trait self-esteem levels. The fMRI analyses also revealed a decrease in activation within the left Hippocampus and the right thalamus under threat. This indicates that a down-regulation of activation in these regions might also serve as coping mechanism in dealing with self-threat.

The efficiency of similarity-focused comparisons in person perception.

Comparison processes are ubiquitous in person perception. Comparative thinking can follow two routes: People either search for similarities or for dissimilarities while comparing. Which of these two routes is more efficient? Previous research indicates that people could compare two geometrical figures faster if they focused on similarities rather than dissimilarities. I examine comparisons of people and measure the consumption of cognitive resources as indicator for efficiency. The results confirm an efficiency-advantage of similarity-focused comparisons for social stimuli.

Fast similarities: efficiency advantages of similarity-focused comparisons.

People constantly have to make efficient use of their limited cognitive resources. Recently, T. Mussweiler and K. Epstude (2009) demonstrated that comparative thinking simplifies information processing and increases the efficiency of judgment. However, there are different types of comparative thinking. While comparing 2 entities, people may focus on either similarities or dissimilarities between target and standard. The authors propose that these 2 comparative thinking styles differ in their efficiency. Specifically, the authors hypothesize that comparisons with a focus on similarities lead to more focused information processing and faster judgments than comparisons with a dissimilarity focus. In line with these hypotheses, the authors demonstrate that participants are indeed faster at judging the similarity of 2 stimuli (Study 1) and that they search for less target information in a comparative judgment task (Study 2) if they focus on similarities rather than dissimilarities. Focusing on similarities thus appears to be the more efficient comparative thinking style.