Experiencing the COVID-19 Emergency: Age-Related Disequilibrating Event for Identity.
Tiziana Di PalmaLuca FuscoLuigia Simona SicaLaura Aleni SestitoPublished in: International journal of environmental research and public health (2022)
The experience linked to the COVID-19 emergency constituted a turning point in the biography of most Italians. The suspension of usual activities, the redefinition of life contexts and the restriction of relationships have opened up wide spaces and time for thinking and reflecting on oneself, which may have triggered processes of redefinition of personal identity. The general aim of this study was to explore the impact of pandemic on daily life in the life span, in order to support the hypothesis that the pandemic experience could be considered a disequilibrating life-event and a turning point in the biography of most Italians. A mixed research approach was adopted, with 14 closed and open questions created ad hoc. 41 participants (87% women, average age 40.71), resident in the Campania region, in southern Italy, responded to the online written interview. The data were analyzed by two independent coders, using categorical content analysis with a top-down approach. Membership of the different age groups (young adults, adults, elderly) was assessed as a comparison variable. Findings qualify pandemic-related experiences as a disequilibrating life event, potentially capable of activating, alongside emotionally dense experiences, adaptive and functional resources for identity reconsideration, with differences being age based. The dimensions of change, the affective dimensions, the resources and the areas of risk identified, allowed us to identify three different clusters, showing a differentiation according to age groups, which identifies young adults and the elderly as the subjects most at risk.
Keyphrases
- coronavirus disease
- sars cov
- young adults
- emergency department
- public health
- healthcare
- respiratory syndrome coronavirus
- signaling pathway
- pregnant women
- electronic health record
- dna methylation
- bipolar disorder
- genome wide
- insulin resistance
- machine learning
- polycystic ovary syndrome
- quality improvement
- health information
- artificial intelligence
- skeletal muscle
- deep learning
- data analysis