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      Social support in the general population: standardization of the Oslo social support scale (OSSS-3)

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          Abstract

          Background

          The objectives of the study were to generate normative data for the Oslo Social Support Scale (OSSS-3) for different age groups for men and women and to further investigate the factor structure in the general population.

          Methods

          Nationally representative face-to face household surveys were conducted in Germany in 2008 ( n = 2524).

          Results

          Normative data for the Oslo Social Support Scale were generated for men and women (52.3% female) and different age levels (mean age (SD) of 48.9 (18.3) years). Men had mean scores comparable to women (10.1 [SD = 2.3] vs. 10.2 [SD = 2.2]). The EFA resulted in a clear one-factor solution for the OSSS-3.

          Conclusions

          The normative data provide a framework for the interpretation and comparisons of social support with other populations.

          Electronic supplementary material

          The online version of this article (10.1186/s40359-018-0249-9) contains supplementary material, which is available to authorized users.

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          Most cited references22

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          Assessing social support: The Social Support Questionnaire.

          Irwin G. Sarason, Henry M. Levine, Robert B. Basham … (1983)
          Article 0 comments Cited 394 times – based on 0 reviews     Review now
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            Negative life events, social support and gender difference in depression: a multinational community survey with data from the ODIN study.

            Odd Dalgard, Christopher Dowrick, Ville Lehtinen … (2006)
            To explore if differences in negative life events, vulnerability and social support may explain the gender difference in depression. Cross-sectional, multinational, community survey from five European countries (n = 8,787). Depression is measured by Beck Depression Inventory, whereas negative life events and social support are measured by various questionnaires. Women report slightly more negative life events than men do, mainly related to the social network, but more social support in general and in connection with reported life events. This trend is the same in all participating countries except Spain, where there is no gender difference in the reported support. In general, women are not more vulnerable to negative life events than men are. However, women with no social support, who are exposed to life events, are more vulnerable than men without support. The higher rate of depression in women is not explained by gender differences in negative life events, social support or vulnerability.
            Article 0 comments Cited 252 times – based on 0 reviews     Review now
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              The German Version of the Satisfaction With Life Scale (SWLS)

              Heide Glaesmer, Gesine Grande, Elmar Braehler … (2011)
              The Satisfaction with Life Scale (SWLS) is the most commonly used measure for life satisfaction. Although there are numerous studies confirming factorial validity, most studies on dimensionality are based on small samples. A controversial debate continues on the factorial invariance across different subgroups. The present study aimed to test psychometric properties, factorial structure, factorial invariance across age and gender, and to deliver population-based norms for the German general population from a large cross-sectional sample of 2519 subjects. Confirmatory factor analyses supported that the scale is one-factorial, even though indications of inhomogeneity of the scale have been detected. Both findings show invariance across the seven age groups and both genders. As indicators of the convergent validity, a positive correlation with social support and negative correlation with depressiveness was shown. Population-based norms are provided to support the application in the context of individual diagnostics.
              Article 0 comments Cited 135 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Rüya-Daniela Kocalevent: +49/40/74 56808 , r.kocalevent@uke.de
                Lorenz Berg: +49/40/74 56808 , lorenz.berg@uke.de
                Manfred E. Beutel: Manfred.Beutel@unimedizin-mainz.de
                Andreas Hinz: andreas.hinz@medizin.uni-leipzig.de
                Markus Zenger: markus.zenger@hs-magdeburg.de
                Martin Härter: +49/40/74 56808 , m.haerter@uke.de
                Urs Nater: urs.nater@univie.ac.at
                Elmar Brähler: elmar.braehler@medizin.uni-leipzig.de
                Journal
                Journal ID (nlm-ta): BMC Psychol
                Journal ID (iso-abbrev): BMC Psychol
                Title: BMC Psychology
                Publisher: BioMed Central (London )
                ISSN (Electronic): 2050-7283
                Publication date (Electronic): 17 July 2018
                Publication date PMC-release: 17 July 2018
                Publication date Collection: 2018
                Volume: 6
                Electronic Location Identifier: 31
                Affiliations
                [1 ]ISNI 0000 0001 2180 3484, GRID grid.13648.38, Institute and Policlinic for Medical Psychology, , University Medical Center Hamburg-Eppendorf, ; Martinistr, 52, W26, 20246 Hamburg, Germany
                [2 ]ISNI 0000 0001 2180 3484, GRID grid.13648.38, Department of General Practice/Primary Care, , University Medical Center Hamburg-Eppendorf, ; Martinistr. 52, W26, 20246 Hamburg, Germany
                [3 ]GRID grid.410607.4, Department of Psychosomatic Medicine and Psychotherapy, , University Medical Center Mainz, ; Langenbeckstraße 1, 55131 Mainz, Germany
                [4 ]ISNI 0000 0001 2230 9752, GRID grid.9647.c, Department of Medical Psychology and Medical Sociology, , University of Leipzig, ; Ph.-Rosenthal-Str. 55, 04103 Leipzig, Germany
                [5 ]Faculty of Applied Human Studies, University of Applied Sciences Magdeburg and Stendal, Stendal, Germany
                [6 ]ISNI 0000 0001 2286 1424, GRID grid.10420.37, Department of Psychology, , University of Vienna, ; Vienna, Austria
                Article
                Publisher ID: 249
                DOI: 10.1186/s40359-018-0249-9
                PMC ID: 6050647
                PubMed ID: 30016997
                SO-VID: 2f031e58-74d1-4da3-9926-8d02cd8bea0e
                Copyright © © The Author(s). 2018
                License:

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                Date received : 26 April 2017
                Date accepted : 5 July 2018
                Categories
                Subject: Research Article
                Custom metadata
                issue-copyright-statement © The Author(s) 2018

                Keywords: social support,factor structure,normative data
                Data availability:
                Keywords: social support, factor structure, normative data

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