Repositório Comunidade:http://hdl.handle.net/10071/20962026-03-30T22:29:31Z2026-03-30T22:29:31ZMusic ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusiciansTalamini, F.Grassi, M.Altoè, G.Brattico, E.Caclin, A.Carretti, B.Drai-Zerbib, V.Ferreri, L.Gambarota, F.Grahnm, J.Fovino, L. G. N.Rajappa, N.Ripolles, P.Ritchie, M.Menezes, I. R. R.Román-Caballero, R.Roncaglia, P.Rubinstein, W.Sa’adullah, F. Y.-A.Saarikallio, S.Sammler, D.Strauch, F. J.Samson, S.Schellenberg, E. G.Serres, N. R.Slevc, L. R.Souffiane, R.-N.Strauss, H.Tantengco, N.Tervaniemi, M.Thompson, R.Timmers, R.Toiviainen, P.Trainor, L. J.Tuske, C.Villanueva, J.Roccato, M.von Bastian, C. C.Whiteford, K. L.Wood, E. A.Worschech, F.Zappa, A.Rodriguez-Fornells, A.Swaminathan, S.Tillmann, B.Vuust, P.Wilbiks, J.Zentner, M.Aguilar, K.Aryanto, C. B.Leite, F. C. A.Baldé, A. M.Başkent, D.Bishop, L.Bortz, G.Bouwer, F. L.Calcus, A.Carraturo, G.Čerič, A.Criscuolo, A.Dairain, L.Dalla Bella, S.Daniel, O.Danielsen, A.de Parcevaux, A.-I.Dellacherie, D.Detlefsen, V.Endestad, T.Cepero-Escribano, V.Fialho, J. L. d. B.Fitzpatrick, C.Fiveash, A.Fortier, J.Fram, N. R.Fullone, E.Gloggengießer, S.Gonzalez Sanchez, L.Gordon, R. L.Groussard, M.Habibi, A.Hansen, H. M. U.Harding, E. E.Hawkins, K.Herff, S. A.Holma, V. P.Jakubowski, K.Jol, M. G.Kalsi, A.Kandro, V.Kelo, R.Kotz, S. A.Ladegam, G. S.Laeng, B.Lee, A.Lense, M.Lima, C. F.Limmer, S. P.Liu, C. K.Martín Sánchez, P. d. C.McEntyre, L.Michael, J. P.Mirman, D.Moltrasio, J.Müllensiefen, D.Najafi, N.Nokkala, J.Nzonlang, N.Oliveira, M. G. M.Overy, K.Oxenham, A. J.Passarotto, E.Plasse, M.-E.Platel, H.Poissonnier, A.Provias, V.http://hdl.handle.net/10071/367632026-03-30T14:02:15Z2026-01-01T00:00:00ZTítulo próprio: Music ensemble: A large dataset on musicianship, cognition, and personality in musicians and nonmusicians
Autoria: Talamini, F.; Grassi, M.; Altoè, G.; Brattico, E.; Caclin, A.; Carretti, B.; Drai-Zerbib, V.; Ferreri, L.; Gambarota, F.; Grahnm, J.; Fovino, L. G. N.; Rajappa, N.; Ripolles, P.; Ritchie, M.; Menezes, I. R. R.; Román-Caballero, R.; Roncaglia, P.; Rubinstein, W.; Sa’adullah, F. Y.-A.; Saarikallio, S.; Sammler, D.; Strauch, F. J.; Samson, S.; Schellenberg, E. G.; Serres, N. R.; Slevc, L. R.; Souffiane, R.-N.; Strauss, H.; Tantengco, N.; Tervaniemi, M.; Thompson, R.; Timmers, R.; Toiviainen, P.; Trainor, L. J.; Tuske, C.; Villanueva, J.; Roccato, M.; von Bastian, C. C.; Whiteford, K. L.; Wood, E. A.; Worschech, F.; Zappa, A.; Rodriguez-Fornells, A.; Swaminathan, S.; Tillmann, B.; Vuust, P.; Wilbiks, J.; Zentner, M.; Aguilar, K.; Aryanto, C. B.; Leite, F. C. A.; Baldé, A. M.; Başkent, D.; Bishop, L.; Bortz, G.; Bouwer, F. L.; Calcus, A.; Carraturo, G.; Čerič, A.; Criscuolo, A.; Dairain, L.; Dalla Bella, S.; Daniel, O.; Danielsen, A.; de Parcevaux, A.-I.; Dellacherie, D.; Detlefsen, V.; Endestad, T.; Cepero-Escribano, V.; Fialho, J. L. d. B.; Fitzpatrick, C.; Fiveash, A.; Fortier, J.; Fram, N. R.; Fullone, E.; Gloggengießer, S.; Gonzalez Sanchez, L.; Gordon, R. L.; Groussard, M.; Habibi, A.; Hansen, H. M. U.; Harding, E. E.; Hawkins, K.; Herff, S. A.; Holma, V. P.; Jakubowski, K.; Jol, M. G.; Kalsi, A.; Kandro, V.; Kelo, R.; Kotz, S. A.; Ladegam, G. S.; Laeng, B.; Lee, A.; Lense, M.; Lima, C. F.; Limmer, S. P.; Liu, C. K.; Martín Sánchez, P. d. C.; McEntyre, L.; Michael, J. P.; Mirman, D.; Moltrasio, J.; Müllensiefen, D.; Najafi, N.; Nokkala, J.; Nzonlang, N.; Oliveira, M. G. M.; Overy, K.; Oxenham, A. J.; Passarotto, E.; Plasse, M.-E.; Platel, H.; Poissonnier, A.; Provias, V.
Resumo: The Music Ensemble dataset is a large-scale, cross-national database that provides detailed information about the musical, cognitive, personality, and demographic profiles of young adult musicians and nonmusicians. Data were collected from 1438 participants (aged 18–30) across thirty-five research sites in Europe, North America, South America, and Australia. Participants completed an in-person, in-lab battery of objective tests, including measures of verbal, visuospatial and musical short-term memory, executive functions (updating component), nonverbal reasoning, verbal comprehension, and music perception skills. The battery also included standardized and custom self-report questionnaires assessing music sophistication, music reward, personality traits, socioeconomic status, and demographic characteristics. Music Ensemble was preregistered, and the research protocol followed a standardized procedure across sites. The dataset also includes a large subsample of musicians and nonmusicians that are pair-matched for age, gender, and education (678 pairs). It enables well-powered investigations into the relationship between musical expertise and individual differences in cognition, personality, and demographic variables. It is also suitable for training in statistical and psychometric methods.2026-01-01T00:00:00ZOn the contextuality of gender biases in pain care: Theory and evidenceBernardes, S. F.Samulowitz, A.http://hdl.handle.net/10071/367482026-03-27T16:58:58Z2026-01-01T00:00:00ZTítulo próprio: On the contextuality of gender biases in pain care: Theory and evidence
Autoria: Bernardes, S. F.; Samulowitz, A.
Resumo: Pain is a universal human experience and the most common reason to seek medical care. Although women report more frequent and disabling pains than men, their pains are more often underassessed and undertreated in clinical encounters. Understanding the ‘whens’ and ‘whys’ of this gender paradox is vital to promote pain care equity and efficiency. Yet, the atheoretical and descriptive nature of most studies on provider gender biases in pain care is stalling the research field. To overcome this gap, we first propose the novel Gender Biases in Pain Care Model, which conceptualises the contextual nature of gender biases in pain care. It is an interaction-based socioecological model that integrates assumptions of gender-related theories and dual process models of person perception and stereotyping. Second, we conduct a theory-driven review of current evidence addressing the model's theoretical contentions. Sixty-six articles (8 reviews and 58 primary studies), mostly published in 2010–2024, were included. Although findings provide preliminary support for the model’s four contentions, important empirical gaps are still unaddressed. We discuss how this model is a steppingstone to the generation of novel research questions and testable hypotheses that may fill current knowledge gaps and contribute to the development of equitable pain practices and policies.2026-01-01T00:00:00ZPerseverative thinking, threat interpretation bias, and emotional reactivity as mediators between adverse childhood experience domains and psychopathology: A longitudinal mediation study in a cohort of Swiss emerging adultsBrodbeck, J.Jacinto, S.Stallmann, L.Vetsch, N.Marmet, S.Neufeld, S. A.http://hdl.handle.net/10071/367452026-03-27T16:06:55Z2025-01-01T00:00:00ZTítulo próprio: Perseverative thinking, threat interpretation bias, and emotional reactivity as mediators between adverse childhood experience domains and psychopathology: A longitudinal mediation study in a cohort of Swiss emerging adults
Autoria: Brodbeck, J.; Jacinto, S.; Stallmann, L.; Vetsch, N.; Marmet, S.; Neufeld, S. A.
Resumo: Adverse Childhood Experiences (ACEs) are robust predictors of negative mental health outcomes and psychosocial difficulties, yet the psychological mechanisms linking ACEs to later psychopathology remain only partially understood. Drawing on a three-wave longitudinal study of Swiss emerging adults (N = 1934), we conducted longitudinal mediation analyses to examine emotional processing (emotional reactivity, perseverative thinking) and social information processing (threat interpretation bias, rejection sensitivity) as pathways from ACEs to psychopathology. Factor analyses identified three distinct ACE domains: family maltreatment, peer victimization, and sexual abuse. By modelling these domains simultaneously, we accounted for their frequent co-occurrence and isolated their unique contributions. Family maltreatment and peer victimization independently were associated with heightened psychopathology and difficulties with emotional processing and social information processing at Wave 1. Furthermore, both adversity domains also predicted persistent elevations in these domains over time, even after controlling for baseline levels and sociodemographic variables. Longitudinal mediation analyses revealed that family maltreatment and peer victimization both predicted psychopathology via perseverative thinking, threat interpretation bias, and emotional reactivity. Sexual abuse, in contrast, showed weaker or delayed associations with psychopathology and operated primarily through threat interpretation bias. Rejection sensitivity, while associated at the bivariate level, did not mediate longitudinal effects. Findings support and extend McLaughlin’s Model of Mechanisms Linking Childhood Trauma to Psychopathology by identifying distinct mediational pathways from specific ACEs to psychopathology. These distinct pathways underscore the relevance of personalized and mechanism-based treatment planning based on the ACEs experienced.2025-01-01T00:00:00ZThe role of family functioning and socioeconomic context in multisite and chronic musculoskeletal pain in adolescents: Generation XXI Cohort studyNavasardyan, N.Bernardes, S.Henriques, A.Oliveira-Gomes, C. F.Pires, C.Talih, M.Lucas, R.http://hdl.handle.net/10071/366882026-03-20T13:23:45Z2025-01-01T00:00:00ZTítulo próprio: The role of family functioning and socioeconomic context in multisite and chronic musculoskeletal pain in adolescents: Generation XXI Cohort study
Autoria: Navasardyan, N.; Bernardes, S.; Henriques, A.; Oliveira-Gomes, C. F.; Pires, C.; Talih, M.; Lucas, R.
Resumo: Objective:
We examined whether family functioning relates to multisite and chronic musculoskeletal pain in adolescents, a key etiological stage for chronic pain, considering socioeconomic and childhood adversity factors (ACEs).
Methods:
Data from 1,473 participants were analyzed using the Luebeck Pain Screening Questionnaire at 18 years. Multisite pain was defined as pain in ≥2 sites; chronic musculoskeletal pain as pain in any musculoskeletal site lasting >3 months. Family functioning was assessed via the Brief Family Relationship Scale and categorized as poor, fair, or good. Socioeconomic indicators were collected at baseline, and ACEs at age 13.
Results:
The prevalence of multisite pain was 43%, and chronic pain was 23%. Logistic regression analyses showed that good family functioning was associated with lower odds of multisite pain (OR 0.49; 95% CI 0.37, 0.65) and chronic musculoskeletal pain (OR 0.62; 95% CI 0.45, 0.86). Socioeconomic indicators had limited effects, though higher maternal occupation was linked to greater multisite pain (OR 1.38; 95% CI 1.02, 1.87). Stratified analyses revealed no significant interactions.
Conclusion:
Good family functioning was associated with a lower risk of adolescent pain across socioeconomic contexts.2025-01-01T00:00:00Z