What Builds Resilience? Sociodemographic and Social Correlates in the Population-Based LIFE-Adult-Study

Resilience is closely related to mental health and well-being. Identifying risk groups with lower resilience and the variables associated with resilience informs preventive approaches. Previous research on resilience patterns in the general population is heterogeneous, and comprehensive large-scale...

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Veröffentlicht in:International journal of environmental research and public health Jg. 19; H. 15; S. 9601
Hauptverfasser: Weitzel, Elena Caroline, Glaesmer, Heide, Hinz, Andreas, Zeynalova, Samira, Henger, Sylvia, Engel, Christoph, Löffler, Markus, Reyes, Nigar, Wirkner, Kerstin, Witte, A. Veronica, Villringer, Arno, Riedel-Heller, Steffi G., Löbner, Margrit
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 04.08.2022
MDPI
Schlagworte:
Age groups
Coronaviruses
COVID-19
Education
Gender
Likert scale
Mental disorders
Mental health
Pandemics
Population
Population-based studies
Regression analysis
Resilience (Psychology)
Social networks
Social support
Sociodemographics
Variables
Well being
Womens health
Germany
ISSN:1660-4601, 1661-7827, 1660-4601
Online-Zugang:Volltext
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Zusammenfassung:Resilience is closely related to mental health and well-being. Identifying risk groups with lower resilience and the variables associated with resilience informs preventive approaches. Previous research on resilience patterns in the general population is heterogeneous, and comprehensive large-scale studies are needed. The aim of our study is to examine sociodemographic and social correlates of resilience in a large population-based sample. We examined 4795 participants from the LIFE-Adult-Study. Assessments included resilience (RS-11), social support (ESSI), and social network (LSNS), as well as the sociodemographic variables age, gender, marital status, education, and occupation. The association of resilience with sociodemographic and social correlates was examined using linear regression analyses. Higher resilience was associated with female gender, married marital status, high education, and full-time occupation. Social support and social network were positively associated with resilience. Our results implicate that resilience is related to various sociodemographic variables. Social variables seem to be particularly important for resilience. We identified risk groups with lower resilience, which should be given special attention by public health policies, especially in times of crisis. Reducing loneliness and promoting social connectedness may be promising ways to build resilience in the general population.
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ISSN:1660-4601
1661-7827
1660-4601
DOI:10.3390/ijerph19159601