Abstract
Geriatric depression is more common in nursing homes and social support is a mechanism that mitigates the stressors of life factors and simultaneously promotes wellness and health. The purpose of the study was to assess the levels of depression and social support among elderly in nursing homes. During the period February 2016–March 2016 170 elderly residents in nursing homes completed the Geriatric Depression Scale-15 (GDS-15) and the Multidimensional Scale of Perceived Social Support (MSPSS). Statistical analysis was conducted with IBM SPSS Statistics 23. 37, 1% of the sample had depressive symptoms. Depression is statistically correlated with age and it is affected by the years of education (p = 0.003), the number of the children (p = 0.006), whether the elderly person is bedridden or not (p < 0.001), the frequency of visits by family members (p < 0.001) and whether the elderly performs activities outside the nursing home (0.001). Higher GDS score had those who were illiterate (6.41), those with one or no children (6.82 and 6.59 respectively), the bedridden (6.70), people without visits from relatives (7.69) and without activities outside (5.64). Also, social support is affected by the family status (p < 0.001), the number of children (p < 0.001), the frequency of visits by relatives (p < 0.001) and whether the elderly performs activities outside the foundation (p < 0.008). Higher MSPSS score had those who were married (61.60), those who had four children (63.50), people who accept visits from relatives every day (64.58) and people who do activities outside the institution (58.07). The appearance of this increased rate of depression symptoms in this elderly population leads to the need for more aid social support.
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We thank elderly residents, nursing staff and the Scientific Councils of the nursing homes in Epirus.
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Patra, P. et al. (2017). Assessment of Depression in Elderly. Is Perceived Social Support Related? A Nursing Home Study. In: Vlamos, P. (eds) GeNeDis 2016. Advances in Experimental Medicine and Biology, vol 987. Springer, Cham. https://doi.org/10.1007/978-3-319-57379-3_13
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DOI: https://doi.org/10.1007/978-3-319-57379-3_13
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