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3. Influences of Music Reading on Auditory Chord Discrimination: A Novel Test Bed for Nonconscious Processing of Irrelevant Prime Meaning

Author

Augsten Marie-Luise, Eder Stephanie J., Büsel Christian, Valuch Christian, and Ansorge Ulrich

Subjects
semantic priming, masked priming, cross-modal priming, music perception, Psychology, BF1-990
Abstract

The question whether nonconscious processing could involve higher-level, semantic representations is of broad interest. Here, we demonstrate semantic processing of task-relevant and task-irrelevant features of nonconscious primes within a novel, empirical test bed. In two experiments, musicians were visually primed with musical note triads varying in mode (i.e., major vs minor) and position (i.e., the arrangement of notes within a triad). The task required to discriminate only the mode in the following auditory target chord. In two experimental blocks, primes were either consciously visible or masked, respectively. Response times for auditory discrimination of the modes (relevant dimension) of heard triads were measured. Crucially, the targets also varied with respect to mode and position, creating different grades of congruency with the visual primes. Based on the Theory of Event Coding, we expected and found interactions between relevant and irrelevant semantic characteristics of masked primes, illustrating that even irrelevant prime meaning was processed. Moreover, our results indicated that both task-relevant and task-irrelevant prime characteristics are processed in nonconscious conditions only, and that practice in ignoring uninformative conscious primes can be transferred to a subsequent block. In conclusion, this study demonstrates cross-modal, automatic semantic processing using a novel approach to study such effects.

Published
2023
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4. Predictors of enhancing human physical attractiveness: Data from 93 countries

Author

Kowal, M, Sorokowski, P, Pisanski, K, Valentova, J, Varella, M, Frederick, D, Al-Shawaf, L, García, F, Giammusso, I, Gjoneska, B, Kozma, L, Otterbring, T, Papadatou-Pastou, M, Pfuhl, G, Stöckli, S, Studzinska, A, Toplu-Demirtaş, E, Touloumakos, A, Bakos, B, Batres, C, Bonneterre, S, Czamanski-Cohen, J, Dacanay, J, Deschrijver, E, Fisher, M, Grano, C, Grigoryev, D, Kačmár, P, Kozlov, M, Manunta, E, Massar, K, Mcfall, J, Mebarak, M, Miccoli, M, Milfont, T, Prokop, P, Aavik, T, Arriaga, P, Baiocco, R, Čeněk, J, Çetinkaya, H, Duyar, I, Guemaz, F, Ishii, T, Kamburidis, J, Khun-Inkeeree, H, Lidborg, L, Manor, H, Nussinson, R, Omar-Fauzee, M, Pazhoohi, F, Ponnet, K, Santos, A, Senyk, O, Spasovski, O, Vintila, M, Wang, A, Yoo, G, Zerhouni, O, Amin, R, Aquino, S, Boğa, M, Boussena, M, Can, A, Can, S, Castro, R, Chirumbolo, A, Çoker, O, Cornec, C, Dural, S, Eder, S, Moharrampour, N, Grassini, S, Hristova, E, Ikizer, G, Kervyn, N, Koyuncu, M, Kunisato, Y, Lins, S, Mandzyk, T, Mari, S, Mattiassi, A, Memisoglu-Sanli, A, Morelli, M, Novaes, F, Parise, M, Banai, I, Perun, M, Plohl, N, Sahli, F, Šakan, D, Smojver-Azic, S, Solak, Ç, Söylemez, S, Toyama, A, Wlodarczyk, A, Yamada, Y, Abad-Villaverde, B, Afhami, R, Akello, G, Alami, N, Alma, L, Argyrides, M, Atamtürk, D, Burduli, N, Cardona, S, Carneiro, J, Castañeda, A, Chałatkiewicz, I, Chopik, W, Chubinidze, D, Conroy-Beam, D, Contreras-Garduño, J, da Silva, D, Don, Y, Donato, S, Dubrov, D, Duračková, M, Dutt, S, Ebimgbo, S, Estevan, I, Etchezahar, E, Fedor, P, Fekih-Romdhane, F, Frackowiak, T, Galasinska, K, Gargula, Ł, Gelbart, B, Yepes, T, Hamdaoui, B, Hromatko, I, Itibi, S, Jaforte, L, Janssen, S, Jovic, M, Kertechian, K, Khan, F, Kobylarek, A, Koso-Drljevic, M, Krasnodębska, A, Križanić, V, Landa-Blanco, M, Mailhos, A, Marot, T, Dorcic, T, Martinez-Banfi, M, Yusof, M, Mayorga-Lascano, M, Mikuličiūtė, V, Mišetić, K, Musil, B, Najmussaqib, A, Muthu, K, Natividade, J, Ndukaihe, I, Nyhus, E, Oberzaucher, E, Omar, S, Ostaszewski, F, Pacquing, M, Pagani, A, Park, J, Pirtskhalava, E, Reips, U, Reyes, M, Röer, J, Şahin, A, Samekin, A, Sargautytė, R, Semenovskikh, T, Siepelmeyer, H, Singh, S, Sołtys, A, Sorokowska, A, Soto-López, R, Sultanova, L, Tamayo-Agudelo, W, Tan, C, Topanova, G, Bulut, M, Trémolière, B, Tulyakul, S, Türkan, B, Urbanek, A, Volkodav, T, Walter, K, Yaakob, M, Zumárraga-Espinosa, M, Kowal, Marta, Sorokowski, Piotr, Pisanski, Katarzyna, Valentova, Jaroslava V., Varella, Marco A. C., Frederick, David A., Al-Shawaf, Laith, García, Felipe E., Giammusso, Isabella, Gjoneska, Biljana, Kozma, Luca, Otterbring, Tobias, Papadatou-Pastou, Marietta, Pfuhl, Gerit, Stöckli, Sabrina, Studzinska, Anna, Toplu-Demirtaş, Ezgi, Touloumakos, Anna K., Bakos, Bence E., Batres, Carlota, Bonneterre, Solenne, Czamanski-Cohen, Johanna, Dacanay, Jovi C., Deschrijver, Eliane, Fisher, Maryanne L., Grano, Caterina, Grigoryev, Dmitry, Kačmár, Pavol, Kozlov, Mikhail V., Manunta, Efisio, Massar, Karlijn, McFall, Joseph P., Mebarak, Moises, Miccoli, Maria Rosa, Milfont, Taciano L., Prokop, Pavol, Aavik, Toivo, Arriaga, Patrícia, Baiocco, Roberto, Čeněk, Jiří, Çetinkaya, Hakan, Duyar, Izzet, Guemaz, Farida, Ishii, Tatsunori, Kamburidis, Julia A., Khun-Inkeeree, Hareesol, Lidborg, Linda H., Manor, Hagar, Nussinson, Ravit, Omar-Fauzee, Mohd Sofian B., Pazhoohi, Farid, Ponnet, Koen, Santos, Anabela Caetano, Senyk, Oksana, Spasovski, Ognen, Vintila, Mona, Wang, Austin H., Yoo, Gyesook, Zerhouni, Oulmann, Amin, Rizwana, Aquino, Sibele, Boğa, Merve, Boussena, Mahmoud, Can, Ali R., Can, Seda, Castro, Rita, Chirumbolo, Antonio, Çoker, Ogeday, Cornec, Clément, Dural, Seda, Eder, Stephanie J., Moharrampour, Nasim Ghahraman, Grassini, Simone, Hristova, Evgeniya, Ikizer, Gözde, Kervyn, Nicolas, Koyuncu, Mehmet, Kunisato, Yoshihiko, Lins, Samuel, Mandzyk, Tetyana, Mari, Silvia, Mattiassi, Alan D. A., Memisoglu-Sanli, Aybegum, Morelli, Mara, Novaes, Felipe C., Parise, Miriam, Banai, Irena Pavela, Perun, Mariia, Plohl, Nejc, Sahli, Fatima Zahra, Šakan, Dušana, Smojver-Azic, Sanja, Solak, Çağlar, Söylemez, Sinem, Toyama, Asako, Wlodarczyk, Anna, Yamada, Yuki, Abad-Villaverde, Beatriz, Afhami, Reza, Akello, Grace, Alami, Nael H., Alma, Leyla, Argyrides, Marios, Atamtürk, Derya, Burduli, Nana, Cardona, Sayra, Carneiro, João, Castañeda, Andrea, Chałatkiewicz, Izabela, Chopik, William J., Chubinidze, Dimitri, Conroy-Beam, Daniel, Contreras-Garduño, Jorge, da Silva, Diana Ribeiro, Don, Yahya B., Donato, Silvia, Dubrov, Dmitrii, Duračková, Michaela, Dutt, Sanjana, Ebimgbo, Samuel O., Estevan, Ignacio, Etchezahar, Edgardo, Fedor, Peter, Fekih-Romdhane, Feten, Frackowiak, Tomasz, Galasinska, Katarzyna, Gargula, Łukasz, Gelbart, Benjamin, Yepes, Talia Gomez, Hamdaoui, Brahim, Hromatko, Ivana, Itibi, Salome N., Jaforte, Luna, Janssen, Steve M. J., Jovic, Marija, Kertechian, Kevin S., Khan, Farah, Kobylarek, Aleksander, Koso-Drljevic, Maida, Krasnodębska, Anna, Križanić, Valerija, Landa-Blanco, Miguel, Mailhos, Alvaro, Marot, Tiago, Dorcic, Tamara Martinac, Martinez-Banfi, Martha, Yusof, Mat Rahimi, Mayorga-Lascano, Marlon, Mikuličiūtė, Vita, Mišetić, Katarina, Musil, Bojan, Najmussaqib, Arooj, Muthu, Kavitha Nalla, Natividade, Jean C., Ndukaihe, Izuchukwu L. G., Nyhus, Ellen K., Oberzaucher, Elisabeth, Omar, Salma S., Ostaszewski, Franciszek, Pacquing, Ma. Criselda T., Pagani, Ariela F., Park, Ju Hee, Pirtskhalava, Ekaterine, Reips, Ulf-Dietrich, Reyes, Marc Eric S., Röer, Jan P., Şahin, Ayşegül, Samekin, Adil, Sargautytė, Rūta, Semenovskikh, Tatiana, Siepelmeyer, Henrik, Singh, Sangeeta, Sołtys, Alicja, Sorokowska, Agnieszka, Soto-López, Rodrigo, Sultanova, Liliya, Tamayo-Agudelo, William, Tan, Chee-Seng, Topanova, Gulmira T., Bulut, Merve Topcu, Trémolière, Bastien, Tulyakul, Singha, Türkan, Belgüzar N., Urbanek, Arkadiusz, Volkodav, Tatiana, Walter, Kathryn V., Yaakob, Mohd Faiz Mohd, Zumárraga-Espinosa, Marcos, Kowal, M, Sorokowski, P, Pisanski, K, Valentova, J, Varella, M, Frederick, D, Al-Shawaf, L, García, F, Giammusso, I, Gjoneska, B, Kozma, L, Otterbring, T, Papadatou-Pastou, M, Pfuhl, G, Stöckli, S, Studzinska, A, Toplu-Demirtaş, E, Touloumakos, A, Bakos, B, Batres, C, Bonneterre, S, Czamanski-Cohen, J, Dacanay, J, Deschrijver, E, Fisher, M, Grano, C, Grigoryev, D, Kačmár, P, Kozlov, M, Manunta, E, Massar, K, Mcfall, J, Mebarak, M, Miccoli, M, Milfont, T, Prokop, P, Aavik, T, Arriaga, P, Baiocco, R, Čeněk, J, Çetinkaya, H, Duyar, I, Guemaz, F, Ishii, T, Kamburidis, J, Khun-Inkeeree, H, Lidborg, L, Manor, H, Nussinson, R, Omar-Fauzee, M, Pazhoohi, F, Ponnet, K, Santos, A, Senyk, O, Spasovski, O, Vintila, M, Wang, A, Yoo, G, Zerhouni, O, Amin, R, Aquino, S, Boğa, M, Boussena, M, Can, A, Can, S, Castro, R, Chirumbolo, A, Çoker, O, Cornec, C, Dural, S, Eder, S, Moharrampour, N, Grassini, S, Hristova, E, Ikizer, G, Kervyn, N, Koyuncu, M, Kunisato, Y, Lins, S, Mandzyk, T, Mari, S, Mattiassi, A, Memisoglu-Sanli, A, Morelli, M, Novaes, F, Parise, M, Banai, I, Perun, M, Plohl, N, Sahli, F, Šakan, D, Smojver-Azic, S, Solak, Ç, Söylemez, S, Toyama, A, Wlodarczyk, A, Yamada, Y, Abad-Villaverde, B, Afhami, R, Akello, G, Alami, N, Alma, L, Argyrides, M, Atamtürk, D, Burduli, N, Cardona, S, Carneiro, J, Castañeda, A, Chałatkiewicz, I, Chopik, W, Chubinidze, D, Conroy-Beam, D, Contreras-Garduño, J, da Silva, D, Don, Y, Donato, S, Dubrov, D, Duračková, M, Dutt, S, Ebimgbo, S, Estevan, I, Etchezahar, E, Fedor, P, Fekih-Romdhane, F, Frackowiak, T, Galasinska, K, Gargula, Ł, Gelbart, B, Yepes, T, Hamdaoui, B, Hromatko, I, Itibi, S, Jaforte, L, Janssen, S, Jovic, M, Kertechian, K, Khan, F, Kobylarek, A, Koso-Drljevic, M, Krasnodębska, A, Križanić, V, Landa-Blanco, M, Mailhos, A, Marot, T, Dorcic, T, Martinez-Banfi, M, Yusof, M, Mayorga-Lascano, M, Mikuličiūtė, V, Mišetić, K, Musil, B, Najmussaqib, A, Muthu, K, Natividade, J, Ndukaihe, I, Nyhus, E, Oberzaucher, E, Omar, S, Ostaszewski, F, Pacquing, M, Pagani, A, Park, J, Pirtskhalava, E, Reips, U, Reyes, M, Röer, J, Şahin, A, Samekin, A, Sargautytė, R, Semenovskikh, T, Siepelmeyer, H, Singh, S, Sołtys, A, Sorokowska, A, Soto-López, R, Sultanova, L, Tamayo-Agudelo, W, Tan, C, Topanova, G, Bulut, M, Trémolière, B, Tulyakul, S, Türkan, B, Urbanek, A, Volkodav, T, Walter, K, Yaakob, M, Zumárraga-Espinosa, M, Kowal, Marta, Sorokowski, Piotr, Pisanski, Katarzyna, Valentova, Jaroslava V., Varella, Marco A. C., Frederick, David A., Al-Shawaf, Laith, García, Felipe E., Giammusso, Isabella, Gjoneska, Biljana, Kozma, Luca, Otterbring, Tobias, Papadatou-Pastou, Marietta, Pfuhl, Gerit, Stöckli, Sabrina, Studzinska, Anna, Toplu-Demirtaş, Ezgi, Touloumakos, Anna K., Bakos, Bence E., Batres, Carlota, Bonneterre, Solenne, Czamanski-Cohen, Johanna, Dacanay, Jovi C., Deschrijver, Eliane, Fisher, Maryanne L., Grano, Caterina, Grigoryev, Dmitry, Kačmár, Pavol, Kozlov, Mikhail V., Manunta, Efisio, Massar, Karlijn, McFall, Joseph P., Mebarak, Moises, Miccoli, Maria Rosa, Milfont, Taciano L., Prokop, Pavol, Aavik, Toivo, Arriaga, Patrícia, Baiocco, Roberto, Čeněk, Jiří, Çetinkaya, Hakan, Duyar, Izzet, Guemaz, Farida, Ishii, Tatsunori, Kamburidis, Julia A., Khun-Inkeeree, Hareesol, Lidborg, Linda H., Manor, Hagar, Nussinson, Ravit, Omar-Fauzee, Mohd Sofian B., Pazhoohi, Farid, Ponnet, Koen, Santos, Anabela Caetano, Senyk, Oksana, Spasovski, Ognen, Vintila, Mona, Wang, Austin H., Yoo, Gyesook, Zerhouni, Oulmann, Amin, Rizwana, Aquino, Sibele, Boğa, Merve, Boussena, Mahmoud, Can, Ali R., Can, Seda, Castro, Rita, Chirumbolo, Antonio, Çoker, Ogeday, Cornec, Clément, Dural, Seda, Eder, Stephanie J., Moharrampour, Nasim Ghahraman, Grassini, Simone, Hristova, Evgeniya, Ikizer, Gözde, Kervyn, Nicolas, Koyuncu, Mehmet, Kunisato, Yoshihiko, Lins, Samuel, Mandzyk, Tetyana, Mari, Silvia, Mattiassi, Alan D. A., Memisoglu-Sanli, Aybegum, Morelli, Mara, Novaes, Felipe C., Parise, Miriam, Banai, Irena Pavela, Perun, Mariia, Plohl, Nejc, Sahli, Fatima Zahra, Šakan, Dušana, Smojver-Azic, Sanja, Solak, Çağlar, Söylemez, Sinem, Toyama, Asako, Wlodarczyk, Anna, Yamada, Yuki, Abad-Villaverde, Beatriz, Afhami, Reza, Akello, Grace, Alami, Nael H., Alma, Leyla, Argyrides, Marios, Atamtürk, Derya, Burduli, Nana, Cardona, Sayra, Carneiro, João, Castañeda, Andrea, Chałatkiewicz, Izabela, Chopik, William J., Chubinidze, Dimitri, Conroy-Beam, Daniel, Contreras-Garduño, Jorge, da Silva, Diana Ribeiro, Don, Yahya B., Donato, Silvia, Dubrov, Dmitrii, Duračková, Michaela, Dutt, Sanjana, Ebimgbo, Samuel O., Estevan, Ignacio, Etchezahar, Edgardo, Fedor, Peter, Fekih-Romdhane, Feten, Frackowiak, Tomasz, Galasinska, Katarzyna, Gargula, Łukasz, Gelbart, Benjamin, Yepes, Talia Gomez, Hamdaoui, Brahim, Hromatko, Ivana, Itibi, Salome N., Jaforte, Luna, Janssen, Steve M. J., Jovic, Marija, Kertechian, Kevin S., Khan, Farah, Kobylarek, Aleksander, Koso-Drljevic, Maida, Krasnodębska, Anna, Križanić, Valerija, Landa-Blanco, Miguel, Mailhos, Alvaro, Marot, Tiago, Dorcic, Tamara Martinac, Martinez-Banfi, Martha, Yusof, Mat Rahimi, Mayorga-Lascano, Marlon, Mikuličiūtė, Vita, Mišetić, Katarina, Musil, Bojan, Najmussaqib, Arooj, Muthu, Kavitha Nalla, Natividade, Jean C., Ndukaihe, Izuchukwu L. G., Nyhus, Ellen K., Oberzaucher, Elisabeth, Omar, Salma S., Ostaszewski, Franciszek, Pacquing, Ma. Criselda T., Pagani, Ariela F., Park, Ju Hee, Pirtskhalava, Ekaterine, Reips, Ulf-Dietrich, Reyes, Marc Eric S., Röer, Jan P., Şahin, Ayşegül, Samekin, Adil, Sargautytė, Rūta, Semenovskikh, Tatiana, Siepelmeyer, Henrik, Singh, Sangeeta, Sołtys, Alicja, Sorokowska, Agnieszka, Soto-López, Rodrigo, Sultanova, Liliya, Tamayo-Agudelo, William, Tan, Chee-Seng, Topanova, Gulmira T., Bulut, Merve Topcu, Trémolière, Bastien, Tulyakul, Singha, Türkan, Belgüzar N., Urbanek, Arkadiusz, Volkodav, Tatiana, Walter, Kathryn V., Yaakob, Mohd Faiz Mohd, and Zumárraga-Espinosa, Marcos

Abstract

People across the world and throughout history have gone to great lengths to enhance their physical appearance. Evolutionary psychologists and ethologists have largely attempted to explain this phenomenon via mating preferences and strategies. Here, we test one of the most popular evolutionary hypotheses for beauty-enhancing behaviors, drawn from mating market and parasite stress perspectives, in a large cross-cultural sample. We also test hypotheses drawn from other influential and non-mutually exclusive theoretical frameworks, from biosocial role theory to a cultural media perspective. Survey data from 93,158 human participants across 93 countries provide evidence that behaviors such as applying makeup or using other cosmetics, hair grooming, clothing style, caring for body hygiene, and exercising or following a specific diet for the specific purpose of improving ones physical attractiveness, are universal. Indeed, 99% of participants reported spending >10 min a day performing beauty-enhancing behaviors. The results largely support evolutionary hypotheses: more time was spent enhancing beauty by women (almost 4 h a day, on average) than by men (3.6 h a day), by the youngest participants (and contrary to predictions, also the oldest), by those with a relatively more severe history of infectious diseases, and by participants currently dating compared to those in established relationships. The strongest predictor of attractiveness-enhancing behaviors was social media usage. Other predictors, in order of effect size, included adhering to traditional gender roles, residing in countries with less gender equality, considering oneself as highly attractive or, conversely, highly unattractive, TV watching time, higher socioeconomic status, right-wing political beliefs, a lower level of education, and personal individualistic attitudes. This study provides novel insight into universal beauty-enhancing behaviors by unifying evolutionary theory with several other complement

Published
2022

6. Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style

Author

Eder, Stephanie J, Nicholson, Andrew A, Stefanczyk, Michal M, Pieniak, Michał, Martínez-Molina, Judit, Pešout, Ondra, Binter, Jakub, Smela, Patrick, Scharnowski, Frank, Steyrl, David, Eder, Stephanie J, Nicholson, Andrew A, Stefanczyk, Michal M, Pieniak, Michał, Martínez-Molina, Judit, Pešout, Ondra, Binter, Jakub, Smela, Patrick, Scharnowski, Frank, and Steyrl, David

Abstract

The COVID-19 pandemic along with the restrictions that were introduced within Europe starting in spring 2020 allows for the identification of predictors for relationship quality during unstable and stressful times. The present study began as strict measures were enforced in response to the rising spread of the COVID-19 virus within Austria, Poland, Spain and Czech Republic. Here, we investigated quality of romantic relationships among 313 participants as movement restrictions were implemented and subsequently phased out cross-nationally. Participants completed self-report questionnaires over a period of 7 weeks, where we predicted relationship quality and change in relationship quality using machine learning models that included a variety of potential predictors related to psychological, demographic and environmental variables. On average, our machine learning models predicted 29% (linear models) and 22% (non-linear models) of the variance with regard to relationship quality. Here, the most important predictors consisted of attachment style (anxious attachment being more influential than avoidant), age, and number of conflicts within the relationship. Interestingly, environmental factors such as the local severity of the pandemic did not exert a measurable influence with respect to predicting relationship quality. As opposed to overall relationship quality, the change in relationship quality during lockdown restrictions could not be predicted accurately by our machine learning models when utilizing our selected features. In conclusion, we demonstrate cross-culturally that attachment security is a major predictor of relationship quality during COVID-19 lockdown restrictions, whereas fear, pathogenic threat, sexual behavior, and the severity of governmental regulations did not significantly influence the accuracy of prediction.

Published
2021

7. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study

Author

Eder, Stephanie Josephine; https://orcid.org/0000-0002-2061-5382, Steyrl, David, Stefanczyk, Michal Mikolaj, Pieniak, Michał, Martínez Molina, Judit, Pešout, Ondra, Binter, Jakub, Smela, Patrick, Scharnowski, Frank, Nicholson, Andrew A, Eder, Stephanie Josephine; https://orcid.org/0000-0002-2061-5382, Steyrl, David, Stefanczyk, Michal Mikolaj, Pieniak, Michał, Martínez Molina, Judit, Pešout, Ondra, Binter, Jakub, Smela, Patrick, Scharnowski, Frank, and Nicholson, Andrew A

Abstract

During medical pandemics, protective behaviors need to be motivated by effective communication, where finding predictors of fear and perceived health is of critical importance. The varying trajectories of the COVID-19 pandemic in different countries afford the opportunity to assess the unique influence of 'macro-level' environmental factors and 'micro-level' psychological variables on both fear and perceived health. Here, we investigate predictors of fear and perceived health using machine learning as lockdown restrictions in response to the COVID-19 pandemic were introduced in Austria, Spain, Poland and Czech Republic. Over a seven-week period, 533 participants completed weekly self-report surveys which measured the target variables subjective fear of the virus and perceived health, in addition to potential predictive variables related to psychological factors, social factors, perceived vulnerability to disease (PVD), and economic circumstances. Viral spread, mortality and governmental responses were further included in the analysis as potential environmental predictors. Results revealed that our models could accurately predict fear of the virus (accounting for approximately 23% of the variance) using predictive factors such as worrying about shortages in food supplies and perceived vulnerability to disease (PVD), where interestingly, environmental factors such as spread of the virus and governmental restrictions did not contribute to this prediction. Furthermore, our results revealed that perceived health could be predicted using PVD, physical exercise, attachment anxiety and age as input features, albeit with smaller effect sizes. Taken together, our results emphasize the importance of 'micro-level' psychological factors, as opposed to 'macro-level' environmental factors, when predicting fear and perceived health, and offer a starting point for more extensive research on the influences of pathogen threat and governmental restrictions on the psychology of fear and

Published
2021

8. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study

Author

Eder, Stephanie Josephine, primary, Steyrl, David, additional, Stefanczyk, Michal Mikolaj, additional, Pieniak, Michał, additional, Martínez Molina, Judit, additional, Pešout, Ondra, additional, Binter, Jakub, additional, Smela, Patrick, additional, Scharnowski, Frank, additional, and Nicholson, Andrew A., additional

Published
2021
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9. The role of the intracytoplasmatic sperm injection in the treatment of severe male infertility

Author

Eder, Stephanie

Subjects
ddc:610
Abstract

Die vorliegende Arbeit beschäftigt sich mit der Bedeutung der intrazytoplasmatischen Spermieninjektion (ICSI) in der Behandlung der schweren männlichen Subfertilität. Es wurden die ersten 449 ICSI-Behandlungszyklen an der Frauenklinik Dr. Wilhelm Krüsmann in München ausgewertet, die von Oktober 1993 bis März 1995 bei insgesamt 313 Ehepaaren durchgeführt wurden. Eingang in das ICSI-Programm hatten ausschließlich Ehepaare gefunden, bei denen auf Seiten des Mannes eine schwere Subfertilität mehrfach nachgewiesen war – entweder durch wiederholt erstellte Spermiogramme oder aufgrund vorangegangener erfolgloser IVF-Versuche, also ohne ICSI. Bei fast der Hälfte aller Paare lagen zusätzlich auch auf Seite der Frau eine Erkrankung oder anamnestische Hinweise auf eine Fertilitätsminderung vor. Es konnte gezeigt werden, daß unabhängig von der Schwere der Pathologie des Spermiogramms, so auch in Fällen, in denen überhaupt nur vereinzelt lebende Spermatozoen gefunden wurden, hohe Fertilisierungs-, Embryotransfer- und Schwangerschaftsraten erzielt werden können. Dabei traten sogar Konzeptionen nach ICSI mittels epididymalen und testikulären Spermatozoen ein. Ein Einfluß der auf Seite der Frau vorliegenden fertilitätsmindernden Faktoren konnte in dieser Arbeit nicht nachgewiesen werden. Demgegenüber scheint die zunehmende Anzahl an behandelten Fällen und die damit verbundene größere Erfahrung einen positiven Einfluß auf die Erfolgsrate der ICSI zu nehmen. In dieser Arbeit konnte gezeigt werden, daß die Schwangerschaftsrate nach einer Übungsphase signifikant höher liegt. Daraus ist der Schluß zu ziehen, daß Zentren mit einer entsprechend großen Fallzahl bessere Schwangerschaftsraten erzielen könnten. Nicht untersucht wurde in dieser Arbeit die Geburtenrate und damit die eigentliche Baby-take-home-Rate. Für das einzelne Paar, das von langem, nicht erfülltem Kinderwunsch betroffen ist, hat aber gerade diese Rate eine große Bedeutung. Wichtig erscheint auch in diesem Zusammenhang die Etablierung von prospektiven kontrollierten Studien, die sich mit langangelegten Nachuntersuchungen der nach ICSI geborenen Kinder beschäftigt, um sicherzugehen, daß diese doch sehr junge Methode gesunde Nachkommen mit einer normalen Entwicklung, auch in den ihnen nachfolgenden Generationen, hervorbringt., This study evaluated the role of the intracytoplasmatic sperm injection (ICSI) in the treatment of severe male factor infertility. The results of the frst 449 consecutive cycles of ICSI at the Frauenklinik Dr. Wilhelm Krüsmann in Munich are reported. 313 married couples were treated between October 1993 and March 1995. The patients with severe male factor infertility were offered ICSI for the following reasons: 1. repeated pathologic sperm count 2. previously failed routine in vitro fertilization (IVF) In nearly 50 per cent of treated couples the woman also had a history of and / or disease leading to impaired fertility. We demonstrated that independent of the degree of the pathologic sperm count high fertilization-, embryotransfer- and good pregnancy rates could be established. Pregnancies could even be established with epididymal and testicular spermatozoa and in cases with only one single viable spermatozoon. We could not show any influence of female fertility impairing factors. A higher number of treatment cycles including greater experience might have a positive influence on the treatment outcome. This study shows that pregnancy rates are better after a period of training. Therefore, centers with a higher number of patients might have better outcomes. This study did not analyze birth rates and the so called “baby take home rate”. There is a need for future prospective studies to evaluate the safety of ICSI to ensure that this new method leads to healthy and well developed livebirths.

Published
2001

10. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study

Author

Eder, Stephanie J., Steyrl, David, Stefanczyk, Michal M., Pieniak, Michał, Martínez Molina, Judit, Pešout, Ondra, Binter, Jakub, Smela, Patrick, Scharnowski, Frank, and Nicholson, Andrew A.

Subjects
3. Good health
Abstract

During medical pandemics, protective behaviors need to be motivated by effective communication, where finding predictors of fear and perceived health is of critical importance. The varying trajectories of the COVID-19 pandemic in different countries afford the opportunity to assess the unique influence of ‘macro-level’ environmental factors and ‘micro-level’ psychological variables on both fear and perceived health. Here, we investigate predictors of fear and perceived health using machine learning as lockdown restrictions in response to the COVID-19 pandemic were introduced in Austria, Spain, Poland and Czech Republic. Over a seven-week period, 533 participants completed weekly self-report surveys which measured the target variables subjective fear of the virus and perceived health, in addition to potential predictive variables related to psychological factors, social factors, perceived vulnerability to disease (PVD), and economic circumstances. Viral spread, mortality and governmental responses were further included in the analysis as potential environmental predictors. Results revealed that our models could accurately predict fear of the virus (accounting for approximately 23% of the variance) using predictive factors such as worrying about shortages in food supplies and perceived vulnerability to disease (PVD), where interestingly, environmental factors such as spread of the virus and governmental restrictions did not contribute to this prediction. Furthermore, our results revealed that perceived health could be predicted using PVD, physical exercise, attachment anxiety and age as input features, albeit with smaller effect sizes. Taken together, our results emphasize the importance of ‘micro-level’ psychological factors, as opposed to ‘macro-level’ environmental factors, when predicting fear and perceived health, and offer a starting point for more extensive research on the influences of pathogen threat and governmental restrictions on the psychology of fear and health., PLoS ONE, 16 (3), ISSN:1932-6203

11. Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style

Author

Stephanie J. Eder, Andrew A. Nicholson, Michal M. Stefanczyk, Michał Pieniak, Judit Martínez-Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, David Steyrl, University of Zurich, and Eder, Stephanie J

Subjects
050103 clinical psychology, Coronavirus disease 2019 (COVID-19), media_common.quotation_subject, 610 Medicine & health, 050105 experimental psychology, Developmental psychology, Pandemic, Attachment theory, Psychology, 0501 psychology and cognitive sciences, Quality (business), General Psychology, Original Research, media_common, intimate relationships, 05 social sciences, Linear model, COVID-19, 3200 General Psychology, Variance (accounting), Pair bond, BF1-990, Identification (information), machine learning, 10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics, relationship quality, attachment style, pair bond
Abstract

The COVID-19 pandemic along with the restrictions that were introduced within Europe starting in spring 2020 allows for the identification of predictors for relationship quality during unstable and stressful times. The present study began as strict measures were enforced in response to the rising spread of the COVID-19 virus within Austria, Poland, Spain and Czech Republic. Here, we investigated quality of romantic relationships among 313 participants as movement restrictions were implemented and subsequently phased out cross-nationally. Participants completed self-report questionnaires over a period of 7 weeks, where we predicted relationship quality and change in relationship quality using machine learning models that included a variety of potential predictors related to psychological, demographic and environmental variables. On average, our machine learning models predicted 29% (linear models) and 22% (non-linear models) of the variance with regard to relationship quality. Here, the most important predictors consisted of attachment style (anxious attachment being more influential than avoidant), age, and number of conflicts within the relationship. Interestingly, environmental factors such as the local severity of the pandemic did not exert a measurable influence with respect to predicting relationship quality. As opposed to overall relationship quality, the change in relationship quality during lockdown restrictions could not be predicted accurately by our machine learning models when utilizing our selected features. In conclusion, we demonstrate cross-culturally that attachment security is a major predictor of relationship quality during COVID-19 lockdown restrictions, whereas fear, pathogenic threat, sexual behavior, and the severity of governmental regulations did not significantly influence the accuracy of prediction.

Published
2021
Full Text
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12. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study

Author

David Steyrl, Jakub Binter, Andrew A. Nicholson, Ondra Pešout, Stephanie J. Eder, Judit Martínez Molina, Michał Pieniak, Frank Scharnowski, Michał Stefańczyk, Patrick Smela, University of Zurich, and Eder, Stephanie Josephine

Subjects
Male, Longitudinal study, Viral Diseases, Epidemiology, Health Status, Emotions, Social Sciences, 050109 social psychology, Disease, Anxiety, computer.software_genre, Machine Learning, 0302 clinical medicine, Medical Conditions, Pandemic, Medicine and Health Sciences, Psychology, Public and Occupational Health, 030212 general & internal medicine, Longitudinal Studies, Young adult, Social isolation, Multidisciplinary, 05 social sciences, Variance (accounting), Fear, General Medicine, 3. Good health, Infectious Diseases, Social Isolation, Medicine, Female, medicine.symptom, Behavioral and Social Aspects of Health, General Agricultural and Biological Sciences, Attitude to Health, Research Article, Adult, Computer and Information Sciences, Science, MEDLINE, Psychological Stress, 610 Medicine & health, Machine learning, 03 medical and health sciences, Young Adult, Artificial Intelligence, Mental Health and Psychiatry, medicine, Humans, 0501 psychology and cognitive sciences, Pandemics, 1000 Multidisciplinary, business.industry, Biology and Life Sciences, COVID-19, Covid 19, 10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics, Artificial intelligence, Self Report, business, computer
Abstract

***this preprint has since been published: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247997 (Open Access)*** During medical pandemics, protective behaviors need to be motivated by effective communication, where finding predictors of fear and perceived health is of critical importance. The varying trajectories of the COVID-19 pandemic in different countries afford the opportunity to assess the unique influence of ‘macro-level’ environmental factors and ‘micro-level’ psychological variables on both fear and perceived health. Here, we investigate predictors of fear and perceived health using machine learning as lockdown restrictions in response to the COVID-19 pandemic were introduced in Austria, Spain, Poland and Czech Republic. Over a seven-week period, 533 participants completed weekly self-report surveys which measured the target variables subjective fear of the virus and perceived health, in addition to potential predictive variables related to psychological factors, social factors, perceived vulnerability to disease (PVD), and economic circumstances. Viral spread, mortality and governmental responses were further included in the analysis as potential environmental predictors. Results revealed that our models could accurately predict fear of the virus (accounting for approximately 23% of the variance) using predictive factors such as worrying about shortages in food supplies, and perceived vulnerability to disease (PVD), where interestingly, environmental factors such as spread of the virus and governmental restrictions did not contribute to this prediction. Furthermore, our results revealed that perceived health could be predicted using PVD, physical exercise, attachment anxiety and age as input features, albeit with smaller effect sizes. Taken together, our results emphasize the importance of ‘micro-level’ psychological factors, as opposed to ‘macro-level’ environmental factors, when predicting fear and perceived health, and offer a starting point for more extensive research on the influences of pathogen threat and governmental restrictions on the psychology of fear and health.

Published
2021

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