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      Intergenerational Programs Involving Adolescents, Institutionalized Elderly, and Older Volunteers: Results from a Pilot Research-Action in Italy

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          Abstract

          Changes in traditional family structures, public policy arrangements, and new family care patterns are reducing opportunities for interaction between younger and older people in Europe and in Italy, especially when the latter live in residential care facilities. This may bolster age-related stereotypes in both generations and end up with affecting older people's self-confidence, devaluing their emotional and relational capabilities. “ Let's Re-Generate” is a pilot research-action project—based on an intergenerational program carried out in a nursing home in Central Italy—which aimed at prompting institutionalized older people and adolescents in the community to enhance intergenerational ties through various shared activities. Results from focus groups with 25 teenagers and in-depth interviews with 16 older residents and 16 older volunteers provide an in-depth insight on the positive impact of intergenerational programs, which foster the interaction between different ages, help overcome age-related stereotypes, and improve older people's mental well-being and older volunteers' generativity. The main recommendation emerging from this study is that intergenerational activities should be integrated in the daily routine of nursing homes, acting as useful tools for fostering older residents' capability of reacting to dependency and social isolation.

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          Qualitative Content Analysis

          The article describes an approach of systematic, rule guided qualitative text analysis, which tries to preserve some methodological strengths of quantitative content analysis and widen them to a concept of qualitative procedure. First the development of content analysis is delineated and the basic principles are explained (units of analysis, step models, working with categories, validity and reliability). Then the central procedures of qualitative content analysis, inductive development of categories and deductive application of categories, are worked out. The possibilities of computer programs in supporting those qualitative steps of analysis are shown and the possibilities and limits of the approach are discussed. URN: urn:nbn:de:0114-fqs0002204 Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, Vol 1, No 2 (2000): Qualitative Methods in Various Disciplines I: Psychology
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            Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.

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              Loneliness and depression in independent living retirement communities: risk and resilience factors.

              Socio-emotional selectivity theory posits that as individuals age, they desire less social stimulation and novelty, and tend to select close, reliable relationships to meet their emotional needs. Residence in congregate facilities affords social exposure, yet does not guarantee access to close relationships, so that loneliness may be a result. Further, the gerontology literature has suggested that loneliness in late life may be a risk factor for serious mental health concerns such as depression. This article examined data on loneliness and depressive symptoms from older adults aged 60-98, residing in two age-segregated independent living facilities. Overlap between those scoring in the depressed range on the Geriatric Depression Scale and those scoring more than one standard deviation above the mean on the UCLA Loneliness Scale was less than 50%, although zero-order correlation of the two continuous scores was moderately high. Potential risk and resilience factors were regressed on the continuous scores of the two scales in separate hierarchical multiple regression analyses. Depression was predicted by being older, number of chronic health conditions, grieving a recent loss, fewer neighbor visitors, less participation in organized social activities and less church attendance. Grieving a recent loss, receiving fewer visits from friends, and having a less extensive social network predicted loneliness. In addition, loneliness scores explained about 8% of the unique variance in depression scores, suggesting it is an independent risk factor for depressive symptoms. Loneliness scores were seen to be more widely dispersed in these respondents, with less variance explained by the available predictors. Suggestions are made for addressing loneliness in older adults as a means of preventing more serious mental health consequences.
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                Author and article information

                Contributors
                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi
                2314-6133
                2314-6141
                2018
                5 December 2018
                : 2018
                : 4360305
                Affiliations
                1IRCCS INRCA-National Institute of Health and Science on Ageing, Centre for Socio-Economic Research on Ageing, Ancona, Italy
                2IRCCS INRCA-National Institute of Health and Science on Ageing, Centre for Welfare Models and New Technologies, Ancona, Italy
                3Ca' Foscari University, Venice, Italy
                Author notes

                Academic Editor: Antonella Gigantesco

                Author information
                http://orcid.org/0000-0003-4705-4631
                http://orcid.org/0000-0001-9278-9544
                Article
                10.1155/2018/4360305
                6304505
                30627555
                ca6583cb-2f60-4e5b-a791-ffcbb5f2b2e4
                Copyright © 2018 Sara Santini et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 August 2018
                : 8 November 2018
                : 27 November 2018
                Categories
                Research Article

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