Digital technology use and depressive symptoms among older adults in Korea: beneficial for those who have fewer social interactions?

抑郁症状 心理学 社会交往 测量数据收集 数字素养 临床心理学 老年学 认知 医学 发展心理学 精神科 教育学 统计 数学
作者
Min‐Ah Lee,Kenneth F. Ferraro,Giyeon Kim
出处
期刊:Aging & Mental Health [Informa]
卷期号:25 (10): 1839-1847 被引量:32
标识
DOI:10.1080/13607863.2020.1839863
摘要

Objectives Our study examines the relationship between digital technology use and depressive symptoms among older Koreans and whether social interaction moderates the relationship.Methods The data were drawn from the 2017 Survey of Living Conditions and Welfare Needs of Korean Older Persons, a nationally representative survey. Digital technology use was measured by the number of digital functions that respondents perform with their electronic devices. Social interactions were measured by the frequencies of face-to-face and remote connections with friends or neighbors. Relationships were estimated with multiple regression analyses.Results Digital technology use was inversely associated with depressive symptoms even after adjusting for covariates including cognitive function. Both remote and face-to-face connections with friends or neighbors were associated with fewer depressive symptoms. An interaction between digital technology use and remote contact also was detected: the effect of digital technology use on depressive symptoms was more beneficial for older adults with infrequent remote contact with friends or neighbors than for those with frequent remote contact.Conclusion Findings suggest that digital technology use can reduce depressive symptoms of older adults, especially those who have fewer social interactions. Educating older adults to increase their digital literacy level and use of remote interactions may improve their psychological wellbeing, perhaps even during times of a viral pandemic.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
长情半邪发布了新的文献求助10
1秒前
1秒前
苹果发布了新的文献求助10
2秒前
三川完成签到,获得积分10
2秒前
打打应助香蕉不呐呐采纳,获得10
2秒前
六水居士完成签到,获得积分10
2秒前
万能图书馆应助马越采纳,获得10
3秒前
yy111完成签到,获得积分10
3秒前
3秒前
yukii发布了新的文献求助10
3秒前
Akim应助默默百招采纳,获得10
4秒前
大个应助ZLY采纳,获得10
4秒前
5秒前
猫猫虫完成签到,获得积分10
5秒前
gej发布了新的文献求助10
5秒前
Diogenes给Diogenes的求助进行了留言
5秒前
5秒前
5秒前
5秒前
幽凡发布了新的文献求助10
6秒前
斯文败类应助小旋风采纳,获得20
6秒前
CipherSage应助wangs采纳,获得10
6秒前
6秒前
ChiangYu完成签到,获得积分10
7秒前
doctorhuo完成签到,获得积分10
7秒前
7秒前
呵呵呵呵柳完成签到,获得积分20
7秒前
8秒前
科研通AI6.2应助Zeming_Pan采纳,获得10
8秒前
Kaaaly发布了新的文献求助10
8秒前
SciGPT应助平常澜采纳,获得10
9秒前
凡凡发布了新的文献求助10
11秒前
hahaha发布了新的文献求助10
11秒前
yukii完成签到,获得积分10
12秒前
Songrongrong发布了新的文献求助10
12秒前
12秒前
chuchu发布了新的文献求助10
12秒前
12秒前
xy发布了新的文献求助10
13秒前
情怀应助kao2oak采纳,获得10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
What is the Future of Psychotherapy in a Digital Age? 700
The Psychological Quest for Meaning 600
Zeolites: From Fundamentals to Emerging Applications 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5955238
求助须知:如何正确求助?哪些是违规求助? 7165701
关于积分的说明 15937623
捐赠科研通 5090084
什么是DOI,文献DOI怎么找? 2735520
邀请新用户注册赠送积分活动 1696354
关于科研通互助平台的介绍 1617271