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      The relationship between resilience and loneliness elucidated by a Danish version of the resilience scale for adults

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          Abstract

          Background

          Research on the relationship between resilience and loneliness is sparse. The construct of resilience has been conceptualized in multiple ways, including the measurement of resilience. The Resilience Scale for Adults (RSA) is a measure of protective factors. The present study examined whether resiliency moderates any negative relationship between loneliness and mental health and additionally examined the psychometric properties of the Danish translation of the RSA.

          Methods

          A Danish sample ( N = 422) completed the UCLA Loneliness Scale, Hopkins Symptom Check List-25 (HSCL-25), the Sense of Coherence (SOC-13), and the RSA, Resilience Scale for Adults.

          Results

          The measure of loneliness correlated significantly and negatively with most facets of the RSA, except the subscales of family cohesion and structured style. The strongest correlation was the negative one between loneliness and SOC. The results indicated that people feeling lonely also experience their life as less meaningful.

          Conclusion

          The study supports the existing six-factor structure of the Resilience Scale for Adults (RSA) in a Danish sample. The results indicate that all facets of resiliency were negatively related to loneliness. Also, the facets of perception of self and family coherence could explain a substantial amount of the variance associated with symptoms of depression in relation to loneliness.

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          Most cited references58

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Comparative fit indexes in structural models.

            P. Bentler (1990)
            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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              A Short Scale for Measuring Loneliness in Large Surveys: Results From Two Population-Based Studies.

              Most studies of social relationships in later life focus on the amount of social contact, not on individuals' perceptions of social isolation. However, loneliness is likely to be an important aspect of aging. A major limiting factor in studying loneliness has been the lack of a measure suitable for large-scale social surveys. This article describes a short loneliness scale developed specifically for use on a telephone survey. The scale has three items and a simplified set of response categories but appears to measure overall loneliness quite well. The authors also document the relationship between loneliness and several commonly used measures of objective social isolation. As expected, they find that objective and subjective isolation are related. However, the relationship is relatively modest, indicating that the quantitative and qualitative aspects of social relationships are distinct. This result suggests the importance of studying both dimensions of social relationships in the aging process.
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                Author and article information

                Contributors
                mama@ucl.dk
                Journal
                BMC Psychol
                BMC Psychol
                BMC Psychology
                BioMed Central (London )
                2050-7283
                10 December 2020
                10 December 2020
                2020
                : 8
                : 131
                Affiliations
                [1 ]GRID grid.460785.8, ISNI 0000 0004 0432 5638, Health, Social Work and Welfare Research, , UCL University College, ; Odense, Denmark
                [2 ]GRID grid.5947.f, ISNI 0000 0001 1516 2393, Department of Psychology, , Norwegian University of Science and Technology, ; Trondheim, Norway
                [3 ]GRID grid.10919.30, ISNI 0000000122595234, Department of Psychology, , UiT The Arctic University of Norway, ; Tromsø, Norway
                [4 ]GRID grid.10825.3e, ISNI 0000 0001 0728 0170, Department of Psychology, , University of Southern Denmark, ; Odense, Denmark
                [5 ]GRID grid.460785.8, ISNI 0000 0004 0432 5638, Health Sciences Research Centre, , UCL University College, ; Odense, Denmark
                Author information
                http://orcid.org/0000-0002-7970-8874
                Article
                493
                10.1186/s40359-020-00493-3
                7727155
                33303037
                582e8d10-9288-421c-940b-820bdf42e092
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 14 May 2020
                : 24 November 2020
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                loneliness,resiliency,protective factors
                loneliness, resiliency, protective factors

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