孤独
社会孤立
观察研究
萧条(经济学)
心理学
分离(微生物学)
社会支持
老年学
临床心理学
人口
社交网络(社会语言学)
医学
精神科
社会化媒体
社会心理学
万维网
环境卫生
宏观经济学
病理
经济
微生物学
生物
计算机科学
作者
Nutchar Wiwatkunupakarn,Chanapat Pateekhum,Chanchanok Aramrat,Wichuda Jirapornchaoren,Kanokporn Pinyopornpanish,Chaisiri Angkurawaranon
标识
DOI:10.1080/13607863.2021.1966745
摘要
Older adults, age ≥ 60 years, are at risk of depression, which is aggravated by loneliness and social isolation. The use of social networking sites (SNS) has been reported to be beneficial to help people stay in touch with their families and communities. The purpose of this study was to examine the relationship between SNS usage and social isolation, loneliness, and depression among older adults.The online electronic search for literature was conducted up to June 2020 using three databases and searching from reference lists to find potential studies. The inclusion criteria were based on three main study characteristics: (i) a study population of adults age ≥ 60 years, (ii) examine SNS usage, and (iii) report depression or loneliness or social isolation as outcomes.Fifteen articles were included: ten observational and five experimental studies. Five studies focused on depression and five studies on loneliness/social isolation, while five studies reported on both outcomes. Among observational studies, there was some evidence that SNS usage was associated with lower levels of depression and loneliness scores, but a very limited number of experimental studies were able to obtain similar results. For social isolation, no study found significant associations between SNS usage and lower levels of social isolation.This review found very limited evidence, especially from experimental studies, to support associations between SNS use with depression, loneliness, and social isolation among older adults. More studies are needed to enhance understanding to make valid conclusions.The systematic review was registered in the PROSPERO database on 10 April 2019 and updated in July 2020 (CRD42019125267).
科研通智能强力驱动
Strongly Powered by AbleSci AI