Database with our main variables to perform multinomial logistic regression analyses used to determine which health-related, psychological, interpersonal and socio-demographic variables predicted the four psychological response patterns over time of resilience. Health-related variables (i.e., pre-existing health condition, pregnancy, SARS-CoV-2 infection and history of mental health difficulties), psychological variables (i.e. anxiety about the COVID-19 pandemic, economic threat due to COVID-19, increased substance use during confinement, intolerance to uncertainty, death anxiety, well-being, openness to the future and self-reported resilience), interpersonal variables (i.e. loneliness, perception of belonging, suspiciousness of others, religious identity, goodness of the world beliefs and identification with humanity) and demographic and living conditions variables (i.e. sex, age, education, employment, income, urbanicity, living with children and housing conditions).