Evidence map›Paper›PMID 36877241›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2023

[Sociodemographic and social correlates of self-reported resilience in old age-results from the population-based LIFE-Adult-Study].

Elena Caroline Weitzel, Heide Glaesmer, Andreas Hinz, Samira Zeynalova, Sylvia Henger, Christoph Engel, Markus Löffler, Nigar Reyes, Kerstin Wirkner, A Veronica Witte and 3 more

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Elena Caroline WeitzelInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Philipp-Rosenthal-Str. 55, 04103, Leipzig, Deutschland. elena.weitzel@medizin.uni-leipzig.de.
Heide GlaesmerAbteilung für Medizinische Psychologie und Medizinische Soziologie, Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Andreas HinzAbteilung für Medizinische Psychologie und Medizinische Soziologie, Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Samira ZeynalovaInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Sylvia HengerInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Christoph EngelInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Markus LöfflerInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Nigar ReyesInstitut für Medizinische Informatik, Statistik und Epidemiologie, Universität Leipzig, Leipzig, Deutschland.
Kerstin WirknerLIFE - Leipziger Forschungszentrum für Zivilisationserkrankungen, Universität Leipzig, Leipzig, Deutschland.
A Veronica WitteAbteilung Neurologie, Max-Planck-Institut für Kognitions- und Neurowissenschaften, Max-Planck-Gesellschaft, Leipzig, Deutschland.
Arno VillringerAbteilung Neurologie, Max-Planck-Institut für Kognitions- und Neurowissenschaften, Max-Planck-Gesellschaft, Leipzig, Deutschland.
Steffi G Riedel-HellerInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Philipp-Rosenthal-Str. 55, 04103, Leipzig, Deutschland.
Margrit LöbnerInstitut für Sozialmedizin, Arbeitsmedizin und Public Health (ISAP), Medizinische Fakultät, Universität Leipzig, Philipp-Rosenthal-Str. 55, 04103, Leipzig, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionResilience describes good adaptation to adversity and is a significant factor for well-being in old age. Initial studies indicate a high relevance of social resources. So far, only few studies have investigated resilience patterns in the elderly population. Therefore, the present study aims to investigate sociodemographic and social correlates of resilience in a large population-based sample aged 65 years and older.

methodsAnalyses were conducted on n = 2410 people aged 65 years and older from the follow-up survey of the LIFE-Adult-Study. The survey included the variables resilience (Resilience Scale - RS-11), social support (ENRICHD Social Support Inventory - ESSI), and social network (Lubben Social Network Scale - LSNS-6). The association of sociodemographic and social variables with resilience was analyzed using multiple linear regression analysis.

resultsThe age of 75 years and older was associated with lower resilience compared with the age of 65-74 years. Further, widowed marital status was related to higher resilience. Better social support and a larger social network were significantly associated with higher resilience. No association was found for gender and education. DISCUSSION: The results reveal sociodemographic correlates of resilience in the elderly population that can help identify at-risk groups with lower resilience. Social resources are significant in older age for resilient adaptation and represent a starting point for deriving preventive measures. Social inclusion of older people should be promoted to strengthen resilience in this population and provide favorable conditions for successful aging.

Indexed as

Resilience, PsychologicalAdultAgedAgingGermanyHumansSelf ReportSocial SupportOld agePreventionResourcesSocial networkSocial support

Identifiers

PMID36877241
PMCPMC9987372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.