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  What builds resilience? Sociodemographic and social correlates in the population-based LIFE-adult-study

Weitzel, E. C., Glaesmer, H., Hinz, A., Zeynalova, S., Henger, S., Engel, C., et al. (2022). What builds resilience? Sociodemographic and social correlates in the population-based LIFE-adult-study. International Journal of Environmental Research and Public Health, 19(15): 9601. doi:10.3390/ijerph19159601.

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 Creators:
Weitzel, Elena Caroline1, Author
Glaesmer, Heide2, Author
Hinz, Andreas2, Author
Zeynalova, Samira3, Author
Henger, Sylvia3, Author
Engel, Christoph3, Author
Löffler, Markus3, 4, Author
Reyes, Nigar3, Author
Wirkner, Kerstin4, Author
Witte, A. Veronica5, Author           
Villringer, Arno5, Author           
Riedel-Heller, Steffi G.1, Author
Löbner, Margrit1, Author
Affiliations:
1Institute of Social Medicine, Occupational Health and Public Health (ISAP), University Hospital Leipzig, Germany, ou_persistent22              
2Department of Medical Psychology and Medical Sociology, University of Leipzig, Germany, ou_persistent22              
3Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Germany, ou_persistent22              
4Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Free keywords: Resilience; Social network; Social support; Sociodemographic correlates
 Abstract: 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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Language(s): eng - English
 Dates: 2022-07-272022-07-072022-08-022022-08-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3390/ijerph19159601
PMID: 35954965
PMC: PMC9368156
 Degree: -

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Title: International Journal of Environmental Research and Public Health
Source Genre: Journal
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Publ. Info: Basel : MDPI AG
Pages: - Volume / Issue: 19 (15) Sequence Number: 9601 Start / End Page: - Identifier: ISSN: 1660-4601
CoNE: https://pure.mpg.de/cone/journals/resource/1660-4601