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Well‐being trajectories in breast cancer and their predictors: A machine‐learni...

Karademas, Evangelos; Mylona, Eugenia; Mazzocco, Ketti; Pat‐Horenczyk, Ruth; Sousa, Berta; Oliveira‐Maia, Albino J.; Oliveira, Jose; Roziner, Ilan

Objective:This study aimed to described istinct trajectories of anxiety/depression symptoms and overall health status/quality of life over a period of 18 months followinga breast cancer diagnosis,and identify the medical, socio-demographic,lifestyle, and psychologica lfactors that predict these trajectories.Methods:474 females (mean age=55.79 years) were enrolled in the first weeksafter surgery or biopsy. Data ...


Predicting effective adaptation to breast cancer to help women BOUNCE back: Pro...

Pettini, Greta; Sanchini, Virginia; Pat-Horenczyk, Ruth; Sousa, Berta; Masiero, Marianna; Marzorati, Chiara; Galimberti, Viviana Enrica

Background: Despite the continued progress of medicine, dealing with breast cancer is becoming a major socioeconomic challenge, particularly due to its increasing incidence. The ability to better manage and adapt to the entire care process depends not only on the type of cancer but also on the patient’s sociodemographic and psychological characteristics as well as on the social environment in which a person liv...


Coping with global uncertainty: Perceptions of COVID-19 psychological distress,...

Randall, Ashley K.; Leon, Gabriel; Basili, Emanuele; Martos, Tamás; Boiger, Michael; Baldi, Michela; Hocker, Lauren; Kline, Kai; Masturzi, Alessio

Article first published online: August 26, 2021; Following the global outbreak of COVID-19 in March 2020, individuals report psychological distress associated with the “new normal”—social distancing, financial hardships, and increased responsibilities while working from home. Given the interpersonal nature of stress and coping responses between romantic partners, based on the systemic transactional model this s...


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