Finding a Secure Place in the Home during the First COVID-19 Lockdown: A Pattern-Oriented Analysis

Tamás Martos, Viola Sallay, Silvia Donato

Risultato della ricerca: Contributo in rivistaArticolo in rivistapeer review

Abstract

In challenging times, home is frequently the primary basis of environmental self-regulation processes, individual and relational coping, and well-being. This study aimed to identify multiple types of security experiences at home during the first lockdown period of the COVID-19 pandemic. We used data from 757 Hungarian adults who completed the online, modified form of the Emotional Map of the Home Interview method in 2020 after the outbreak of the COVID-19 pandemic. Participants imagined their homes, chose the place of security in their homes and rated their personal experiences (i.e., experiences of agency, communion, self-recovery, and distress) related to these places. Latent profile analysis of personal experiences revealed four types of relational-environmental self-regulation in secure places: "security in active self-recovery," "security in detachment," "security in doing and feeling good enough," and "security in stress and compensation." Profile membership was predicted by age, gender, and indices of psychological support and well-being. Results suggest that finding psychological security in the home is a multifaceted phenomenon that may be partly affected by the perception of the broader social-ecological context. Identifying subpopulations vulnerable to the challenges of the pandemic may help researchers and practitioners provide better support in times of local and global crises.
Lingua originaleEnglish
pagine (da-a)1-19
Numero di pagine19
RivistaBehavioral Sciences
Volume13
DOI
Stato di pubblicazionePubblicato - 2023

Keywords

  • COVID-19 pandemic
  • Emotional Map of the Home Interview
  • environmental self-regulation
  • home
  • personal niches
  • well-being

Fingerprint

Entra nei temi di ricerca di 'Finding a Secure Place in the Home during the First COVID-19 Lockdown: A Pattern-Oriented Analysis'. Insieme formano una fingerprint unica.

Cita questo