Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis
ObjectivesThis study conducted a meta-analysis to examine the effectiveness of computer and Internet training interventions intended to reduce loneliness and depression in older adults.MethodsSearches were performed to retrieve studies that had been published in peer-reviewed journals from January 2...
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| Format: | Article |
| Language: | English |
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The Korean Society of Medical Informatics
2012-09-01
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| Series: | Healthcare Informatics Research |
| Subjects: | |
| Online Access: | http://e-hir.org/upload/pdf/hir-18-191.pdf |
| _version_ | 1828124869106073600 |
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| author | Mona Choi Saelom Kong Dukyoo Jung |
| author_facet | Mona Choi Saelom Kong Dukyoo Jung |
| author_sort | Mona Choi |
| collection | DOAJ |
| description | ObjectivesThis study conducted a meta-analysis to examine the effectiveness of computer and Internet training interventions intended to reduce loneliness and depression in older adults.MethodsSearches were performed to retrieve studies that had been published in peer-reviewed journals from January 2001 to July 2012 and written in English or Korean from PubMed, CINAHL, Scopus, the Cochrane Library, PsycINFO, KoreaMed, KMbase, KISS, MEDLIS, and RISS. We used combinations of the keywords for population, intervention, and psychosocial problems. A meta-analysis was employed to summarize the findings of studies on computer and Internet interventions for older adults. An overall mean weighted effect size for each outcome was calculated, and Q statistics were used to test the heterogeneity of variance in the effect sizes of the selected studies.ResultsAs the Q statistics revealed heterogeneity, random effects models were chosen for the meta-analysis. The overall mean weighted effect size for loneliness from five studies was statistically significant for decreased loneliness (Z = 2.085, p = 0.037). However, the overall mean weighted effect size for depression from five studies was not statistically significant (Z = 1.528, p = 0.126).ConclusionsThese results suggest that computer and Internet programs were effective in managing loneliness among older adults. Therefore, further computer-mediated social support should be considered to help manage loneliness in this population. |
| first_indexed | 2024-04-11T15:11:29Z |
| format | Article |
| id | doaj.art-2c3b5ec08f1d4b6297546ed43af7d9ac |
| institution | Directory Open Access Journal |
| issn | 2093-3681 2093-369X |
| language | English |
| last_indexed | 2024-04-11T15:11:29Z |
| publishDate | 2012-09-01 |
| publisher | The Korean Society of Medical Informatics |
| record_format | Article |
| series | Healthcare Informatics Research |
| spelling | doaj.art-2c3b5ec08f1d4b6297546ed43af7d9ac2022-12-22T04:16:38ZengThe Korean Society of Medical InformaticsHealthcare Informatics Research2093-36812093-369X2012-09-0118319119810.4258/hir.2012.18.3.191648Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-AnalysisMona Choi0Saelom Kong1Dukyoo Jung2Nursing Policy and Research Institute, Yonsei University College of Nursing, Seoul, Korea.Nursing Policy and Research Institute, Yonsei University College of Nursing, Seoul, Korea.Department of Nursing Science, Ewha Womans University College of Health Sciences, Seoul, Korea.ObjectivesThis study conducted a meta-analysis to examine the effectiveness of computer and Internet training interventions intended to reduce loneliness and depression in older adults.MethodsSearches were performed to retrieve studies that had been published in peer-reviewed journals from January 2001 to July 2012 and written in English or Korean from PubMed, CINAHL, Scopus, the Cochrane Library, PsycINFO, KoreaMed, KMbase, KISS, MEDLIS, and RISS. We used combinations of the keywords for population, intervention, and psychosocial problems. A meta-analysis was employed to summarize the findings of studies on computer and Internet interventions for older adults. An overall mean weighted effect size for each outcome was calculated, and Q statistics were used to test the heterogeneity of variance in the effect sizes of the selected studies.ResultsAs the Q statistics revealed heterogeneity, random effects models were chosen for the meta-analysis. The overall mean weighted effect size for loneliness from five studies was statistically significant for decreased loneliness (Z = 2.085, p = 0.037). However, the overall mean weighted effect size for depression from five studies was not statistically significant (Z = 1.528, p = 0.126).ConclusionsThese results suggest that computer and Internet programs were effective in managing loneliness among older adults. Therefore, further computer-mediated social support should be considered to help manage loneliness in this population.http://e-hir.org/upload/pdf/hir-18-191.pdfcomputerinternetlonelinessdepressionmeta-analysis |
| spellingShingle | Mona Choi Saelom Kong Dukyoo Jung Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis Healthcare Informatics Research computer internet loneliness depression meta-analysis |
| title | Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis |
| title_full | Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis |
| title_fullStr | Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis |
| title_full_unstemmed | Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis |
| title_short | Computer and Internet Interventions for Loneliness and Depression in Older Adults: A Meta-Analysis |
| title_sort | computer and internet interventions for loneliness and depression in older adults a meta analysis |
| topic | computer internet loneliness depression meta-analysis |
| url | http://e-hir.org/upload/pdf/hir-18-191.pdf |
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