@article{BerkhoutBodemErlweinetal.2014, author = {Berkhout, Ben and Bodem, Jochen and Erlwein, Otto and Herchenr{\"o}der, Ottmar and Khan, Arifa S. and Lever, Andrew M. L. and Lindemann, Dirk and Linial, Maxine L. and L{\"o}chelt, Martin and McClure, Myra O. and Scheller, Carsten and Weiss, Robin A.}, title = {Obituary: Axel Rethwilm (1959-2014)}, series = {Retrovirology}, volume = {11}, journal = {Retrovirology}, number = {85}, doi = {10.1186/s12977-014-0085-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-120781}, year = {2014}, abstract = {No abstract available}, language = {en} } @article{WeissHeinHewig2021, author = {Weiß, Martin and Hein, Grit and Hewig, Johannes}, title = {Between joy and sympathy: Smiling and sad recipient faces increase prosocial behavior in the dictator game}, series = {International Journal of Environmental Research and Public Health}, volume = {18}, journal = {International Journal of Environmental Research and Public Health}, number = {11}, doi = {10.3390/ijerph18116172}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-241106}, year = {2021}, abstract = {In human interactions, the facial expression of a bargaining partner may contain relevant information that affects prosocial decisions. We were interested in whether facial expressions of the recipient in the dictator game influence dictators´ ehavior. To test this, we conducted an online study (n = 106) based on a modified version of a dictator game. The dictators allocated money between themselves and another person (recipient), who had no possibility to respond to the dictator. Importantly, before the allocation decision, the dictator was presented with the facial expression of the recipient (angry, disgusted, sad, smiling, or neutral). The results showed that dictators sent more money to recipients with sad or smiling facial expressions and less to recipients with angry or disgusted facial expressions compared with a neutral facial expression. Moreover, based on the sequential analysis of the decision and the interaction partner in the preceding trial, we found that decision-making depends upon previous interactions.}, language = {en} } @article{ThornChaoGeorgievetal.2020, author = {Thorn, Simon and Chao, Anne and Georgiev, Konstadin B. and M{\"u}ller, J{\"o}rg and B{\"a}ssler, Claus and Campbell, John L. and Jorge, Castro and Chen, Yan-Han and Choi, Chang-Yong and Cobb, Tyler P. and Donato, Daniel C. and Durska, Ewa and Macdonald, Ellen and Feldhaar, Heike and Fontaine, Jospeh B. and Fornwalt, Paula J. and Hern{\´a}ndez Hern{\´a}ndez, Raquel Mar{\´i}a and Hutto, Richard L. and Koivula, Matti and Lee, Eun-Jae and Lindenmayer, David and Mikusinski, Grzegorz and Obrist, Martin K. and Perl{\´i}k, Michal and Rost, Josep and Waldron, Kaysandra and Wermelinger, Beat and Weiß, Ingmar and Zmihorski, Michal and Leverkus, Alexandro B.}, title = {Estimating retention benchmarks for salvage logging to protect biodiversity}, series = {Nature Communications}, volume = {11}, journal = {Nature Communications}, doi = {10.1038/s41467-020-18612-4}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-230512}, year = {2020}, abstract = {Forests are increasingly affected by natural disturbances. Subsequent salvage logging, a widespread management practice conducted predominantly to recover economic capital, produces further disturbance and impacts biodiversity worldwide. Hence, naturally disturbed forests are among the most threatened habitats in the world, with consequences for their associated biodiversity. However, there are no evidence-based benchmarks for the proportion of area of naturally disturbed forests to be excluded from salvage logging to conserve biodiversity. We apply a mixed rarefaction/extrapolation approach to a global multi-taxa dataset from disturbed forests, including birds, plants, insects and fungi, to close this gap. We find that 757\% (mean +/- SD) of a naturally disturbed area of a forest needs to be left unlogged to maintain 90\% richness of its unique species, whereas retaining 50\% of a naturally disturbed forest unlogged maintains 73 +/- 12\% of its unique species richness. These values do not change with the time elapsed since disturbance but vary considerably among taxonomic groups. Salvage logging has become a common practice to gain economic returns from naturally disturbed forests, but it could have considerable negative effects on biodiversity. Here the authors use a recently developed statistical method to estimate that ca. 75\% of the naturally disturbed forest should be left unlogged to maintain 90\% of the species unique to the area.}, language = {en} } @article{IotzovWeissWindmannetal.2023, author = {Iotzov, Vassil and Weiß, Martin and Windmann, Sabine and Hein, Grit}, title = {Valence framing induces cognitive bias}, series = {Current Psychology}, volume = {42}, journal = {Current Psychology}, number = {34}, issn = {1046-1310}, doi = {10.1007/s12144-022-03797-2}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-324824}, pages = {30381-30392}, year = {2023}, abstract = {Valence framing effects refer to inconsistent choice preferences in response to positive versus negative formulation of mathematically equivalent outcomes. Here, we manipulate valence framing in a two-alternative forced choice dictator game using gains and losses as frames to investigate the cognitive mechanisms underlying valence framing. We applied a Drift-Diffusion Model (DDM) to examine whether gain (i.e., "take" money) and loss (i.e., "give" money) frames evoke a cognitive bias as previous research did not consistently reveal framing effects using reaction times and response frequency as dependent variables. DDMs allow decomposing the decision process into separate cognitive mechanisms, whereby a cognitive bias was repeatedly associated with a shift in the starting point of the model. Conducting both a laboratory (N = 62) and an online study (N = 109), female participants allocated money between themselves and another person in a prosocial or selfish way. In each study, one group was instructed to give money (give frame), the other to take money (take frame). Consistent with previous studies, no differences were found in response times and response frequencies. However, in both studies, substantial bias towards the selfish option was found in the take frame groups, captured by the starting point of the DDM. Thus, our results suggest that valence framing induces a cognitive bias in decision processing in women, even when no behavioral differences are present.}, language = {en} } @article{GruendahlWeissMaieretal.2022, author = {Gr{\"u}ndahl, Marthe and Weiß, Martin and Maier, Lisa and Hewig, Johannes and Deckert, J{\"u}rgen and Hein, Grit}, title = {Construction and validation of a scale to measure loneliness and isolation during social distancing and its effect on mental health}, series = {Frontiers in Psychiatry}, volume = {13}, journal = {Frontiers in Psychiatry}, issn = {1664-0640}, doi = {10.3389/fpsyt.2022.798596}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-269446}, year = {2022}, abstract = {A variety of factors contribute to the degree to which a person feels lonely and socially isolated. These factors may be particularly relevant in contexts requiring social distancing, e.g., during the COVID-19 pandemic or in states of immunodeficiency. We present the Loneliness and Isolation during Social Distancing (LISD) Scale. Extending existing measures, the LISD scale measures both state and trait aspects of loneliness and isolation, including indicators of social connectedness and support. In addition, it reliably predicts individual differences in anxiety and depression. Data were collected online from two independent samples in a social distancing context (the COVID-19 pandemic). Factorial validation was based on exploratory factor analysis (EFA; Sample 1, N = 244) and confirmatory factor analysis (CFA; Sample 2, N = 304). Multiple regression analyses were used to assess how the LISD scale predicts state anxiety and depression. The LISD scale showed satisfactory fit in both samples. Its two state factors indicate being lonely and isolated as well as connected and supported, while its three trait factors reflect general loneliness and isolation, sociability and sense of belonging, and social closeness and support. Our results imply strong predictive power of the LISD scale for state anxiety and depression, explaining 33 and 51\% of variance, respectively. Anxiety and depression scores were particularly predicted by low dispositional sociability and sense of belonging and by currently being more lonely and isolated. In turn, being lonely and isolated was related to being less connected and supported (state) as well as having lower social closeness and support in general (trait). We provide a novel scale which distinguishes between acute and general dimensions of loneliness and social isolation while also predicting mental health. The LISD scale could be a valuable and economic addition to the assessment of mental health factors impacted by social distancing.}, language = {en} } @article{BeierleSchobelVogeletal.2021, author = {Beierle, Felix and Schobel, Johannes and Vogel, Carsten and Allgaier, Johannes and Mulansky, Lena and Haug, Fabian and Haug, Julian and Schlee, Winfried and Holfelder, Marc and Stach, Michael and Schickler, Marc and Baumeister, Harald and Cohrdes, Caroline and Deckert, J{\"u}rgen and Deserno, Lorenz and Edler, Johanna-Sophie and Eichner, Felizitas A. and Greger, Helmut and Hein, Grit and Heuschmann, Peter and John, Dennis and Kestler, Hans A. and Krefting, Dagmar and Langguth, Berthold and Meybohm, Patrick and Probst, Thomas and Reichert, Manfred and Romanos, Marcel and St{\"o}rk, Stefan and Terhorst, Yannik and Weiß, Martin and Pryss, R{\"u}diger}, title = {Corona Health — A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic}, series = {International Journal of Environmental Research and Public Health}, volume = {18}, journal = {International Journal of Environmental Research and Public Health}, number = {14}, issn = {1660-4601}, doi = {10.3390/ijerph18147395}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-242658}, year = {2021}, abstract = {Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data suffering from recall bias. Ecological momentary assessment (EMA) driven smartphone apps can help alleviate such issues, allowing for in situ recordings. Implementing such an app is not trivial, necessitates strict regulatory and legal requirements, and requires short development cycles to appropriately react to abrupt changes in the pandemic. Based on an existing app framework, we developed Corona Health, an app that serves as a platform for deploying questionnaire-based studies in combination with recordings of mobile sensors. In this paper, we present the technical details of Corona Health and provide first insights into the collected data. Through collaborative efforts from experts from public health, medicine, psychology, and computer science, we released Corona Health publicly on Google Play and the Apple App Store (in July 2020) in eight languages and attracted 7290 installations so far. Currently, five studies related to physical and mental well-being are deployed and 17,241 questionnaires have been filled out. Corona Health proves to be a viable tool for conducting research related to the COVID-19 pandemic and can serve as a blueprint for future EMA-based studies. The data we collected will substantially improve our knowledge on mental and physical health states, traits and trajectories as well as its risk and protective factors over the course of the COVID-19 pandemic and its diverse prevention measures.}, language = {en} } @article{GruendahlWeissStenzeletal.2023, author = {Gr{\"u}ndahl, Marthe and Weiß, Martin and Stenzel, Kilian and Deckert, J{\"u}rgen and Hein, Grit}, title = {The effects of everyday-life social interactions on anxiety-related autonomic responses differ between men and women}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, doi = {10.1038/s41598-023-36118-z}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357840}, year = {2023}, abstract = {Social buffering, a phenomenon where social presence can reduce anxiety and fear-related autonomic responses, has been studied in numerous laboratory settings. The results suggest that the familiarity of the interaction partner influences social buffering while also providing some evidence for gender effects. In the laboratory, however, it is difficult to mimic the complexity of real-life social interactions. Consequently, the social modulation of anxiety and related autonomic responses in everyday life remains poorly understood. We used smartphone-based Ecological Momentary Assessment (EMA) combined with wearable electrocardiogram sensors to investigate how everyday-life social interactions affect state anxiety and related cardiac changes in women and men. On five consecutive days, 96 healthy young participants (53\% women) answered up to six EMA surveys per day, indicating characteristics of their most recent social interaction and the respective interaction partner(s). In women, our results showed lower heart rate in the presence of a male interaction partner. Men showed the same effect with female interaction partners. Moreover, only women showed decreased heart rate and increased heart rate variability with increasing interaction partner familiarity. These findings specify the conditions under which social interactions reduce anxiety-related responses in women and men.}, language = {en} } @article{WeissGruendahlDeckertetal.2023, author = {Weiß, Martin and Gr{\"u}ndahl, Marthe and Deckert, J{\"u}rgen and Eichner, Felizitas A. and Kohls, Mirjam and St{\"o}rk, Stefan and Heuschmann, Peter U. and Hein, Grit}, title = {Differential network interactions between psychosocial factors, mental health, and health-related quality of life in women and men}, series = {Scientific Reports}, volume = {13}, journal = {Scientific Reports}, organization = {STAAB-COVID Study Group}, doi = {10.1038/s41598-023-38525-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357858}, year = {2023}, abstract = {Psychosocial factors affect mental health and health-related quality of life (HRQL) in a complex manner, yet gender differences in these interactions remain poorly understood. We investigated whether psychosocial factors such as social support and personal and work-related concerns impact mental health and HRQL differentially in women and men during the first year of the COVID-19 pandemic. Between June and October 2020, the first part of a COVID-19-specific program was conducted within the "Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB)" cohort study, a representative age- and gender-stratified sample of the general population of W{\"u}rzburg, Germany. Using psychometric networks, we first established the complex relations between personal social support, personal and work-related concerns, and their interactions with anxiety, depression, and HRQL. Second, we tested for gender differences by comparing expected influence, edge weight differences, and stability of the networks. The network comparison revealed a significant difference in the overall network structure. The male (N = 1370) but not the female network (N = 1520) showed a positive link between work-related concern and anxiety. In both networks, anxiety was the most central variable. These findings provide further evidence that the complex interplay of psychosocial factors with mental health and HRQL decisively depends on gender. Our results are relevant for the development of gender-specific interventions to increase resilience in times of pandemic crisis.}, language = {en} } @article{WeissPaeleckeHewig2021, author = {Weiß, Martin and Paelecke, Marko and Hewig, Johannes}, title = {In Your Face(t) — Personality Traits Interact With Prototypical Personality Faces in Economic Decision Making}, series = {Frontiers in Psychology}, volume = {12}, journal = {Frontiers in Psychology}, issn = {1664-1078}, doi = {10.3389/fpsyg.2021.652506}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-237051}, year = {2021}, abstract = {In everyday life, assumptions about our peers' as well as our own personality shape social interactions. We investigated whether self-rated personality and inferences drawn from partners' faces influence economic decisions. Participants (N = 285) played the trust game in the role of the trustor as well as the ultimatum game in the role of the proposer and interacted with trustees and receivers represented by prototypical personality faces. Participants also evaluated both their own traits and the personality of the faces. In the trust game, trustees represented by faces rated higher on agreeableness yielded higher transferred amounts. This effect was more pronounced for trustors low on dispositional trust, whereas trustors high on dispositional trust did not relate their decisions to the faces. Trustees represented by faces rated higher on conscientiousness yielded higher transferred amounts only for trustors high on dispositional anxiety. In the ultimatum game, receivers represented by faces rated higher on conscientiousness yielded lower offers only for proposers high on dispositional assertiveness. These results extend previous findings on the inferences drawn from facial features and the influence of personality on decision making. They highlight the importance of considering the personality of both interaction partner, as well as potential interactions of players' traits.}, language = {en} } @article{WeissIotzovZhouetal.2022, author = {Weiß, Martin and Iotzov, Vassil and Zhou, Yuqing and Hein, Grit}, title = {The bright and dark sides of egoism}, series = {Frontiers in Psychiatry}, volume = {13}, journal = {Frontiers in Psychiatry}, issn = {1664-0640}, doi = {10.3389/fpsyt.2022.1054065}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-297183}, year = {2022}, abstract = {Despite its negative reputation, egoism - the excessive concern for one's own welfare - can incite prosocial behavior. So far, however, egoism-based prosociality has received little attention. Here, we first provide an overview of the conditions under which egoism turns into a prosocial motive, review the benefits and limitations of egoism-based prosociality, and compare them with empathy-driven prosocial behavior. Second, we summarize studies investigating the neural processing of egoism-based prosocial decisions, studies investigating the neural processing of empathy-based prosocial decisions, and the small number of studies that compared the neural processing of prosocial decisions elicited by the different motives. We conclude that there is evidence for differential neural networks involved in egoism and empathy-based prosocial decisions. However, this evidence is not yet conclusive, because it is mainly based on the comparison of different experimental paradigms which may exaggerate or overshadow the effect of the different motivational states. Finally, we propose paradigms and research questions that should be tackled in future research that could help to specify how egoism can be used to enhance other prosocial behavior and motivation, and the how it could be tamed.}, language = {en} }