date: 2022-08-08T03:04:33Z pdf:unmappedUnicodeCharsPerPage: 0 pdf:PDFVersion: 1.7 pdf:docinfo:title: What Builds Resilience? Sociodemographic and Social Correlates in the Population-Based LIFE-Adult-Study xmp:CreatorTool: LaTeX with hyperref Keywords: resilience; sociodemographic correlates; social network; social support access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: 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. dc:creator: Elena Caroline Weitzel, Heide Glaesmer, Andreas Hinz, Samira Zeynalova, Sylvia Henger, Christoph Engel, Markus Löffler, Nigar Reyes, Kerstin Wirkner, A. Veronica Witte, Arno Villringer, Steffi G. Riedel-Heller and Margrit Löbner dcterms:created: 2022-08-08T02:55:15Z Last-Modified: 2022-08-08T03:04:33Z dcterms:modified: 2022-08-08T03:04:33Z dc:format: application/pdf; version=1.7 title: What Builds Resilience? Sociodemographic and Social Correlates in the Population-Based LIFE-Adult-Study Last-Save-Date: 2022-08-08T03:04:33Z pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:docinfo:keywords: resilience; sociodemographic correlates; social network; social support pdf:docinfo:modified: 2022-08-08T03:04:33Z meta:save-date: 2022-08-08T03:04:33Z pdf:encrypted: false dc:title: What Builds Resilience? Sociodemographic and Social Correlates in the Population-Based LIFE-Adult-Study modified: 2022-08-08T03:04:33Z cp:subject: 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. pdf:docinfo:subject: 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. Content-Type: application/pdf pdf:docinfo:creator: Elena Caroline Weitzel, Heide Glaesmer, Andreas Hinz, Samira Zeynalova, Sylvia Henger, Christoph Engel, Markus Löffler, Nigar Reyes, Kerstin Wirkner, A. Veronica Witte, Arno Villringer, Steffi G. Riedel-Heller and Margrit Löbner X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Elena Caroline Weitzel, Heide Glaesmer, Andreas Hinz, Samira Zeynalova, Sylvia Henger, Christoph Engel, Markus Löffler, Nigar Reyes, Kerstin Wirkner, A. Veronica Witte, Arno Villringer, Steffi G. Riedel-Heller and Margrit Löbner meta:author: Elena Caroline Weitzel, Heide Glaesmer, Andreas Hinz, Samira Zeynalova, Sylvia Henger, Christoph Engel, Markus Löffler, Nigar Reyes, Kerstin Wirkner, A. Veronica Witte, Arno Villringer, Steffi G. Riedel-Heller and Margrit Löbner dc:subject: resilience; sociodemographic correlates; social network; social support meta:creation-date: 2022-08-08T02:55:15Z created: 2022-08-08T02:55:15Z access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 11 Creation-Date: 2022-08-08T02:55:15Z pdf:charsPerPage: 4128 access_permission:extract_content: true access_permission:can_print: true meta:keyword: resilience; sociodemographic correlates; social network; social support Author: Elena Caroline Weitzel, Heide Glaesmer, Andreas Hinz, Samira Zeynalova, Sylvia Henger, Christoph Engel, Markus Löffler, Nigar Reyes, Kerstin Wirkner, A. Veronica Witte, Arno Villringer, Steffi G. Riedel-Heller and Margrit Löbner producer: pdfTeX-1.40.21 access_permission:can_modify: true pdf:docinfo:producer: pdfTeX-1.40.21 pdf:docinfo:created: 2022-08-08T02:55:15Z