Social media and mental health in democracy movement in Hong Kong: A population-based study. (November 2016)
- Record Type:
- Journal Article
- Title:
- Social media and mental health in democracy movement in Hong Kong: A population-based study. (November 2016)
- Main Title:
- Social media and mental health in democracy movement in Hong Kong: A population-based study
- Authors:
- Lau, Kam Man
Hou, Wai Kai
Hall, Brian J.
Canetti, Daphna
Ng, Sin Man
Lam, Agnes Iok Fong
Hobfoll, Stevan E. - Abstract:
- Abstract: Social media use has proliferated in the past ten years and studies are beginning to investigate the associations of social media use with political movements and mental health. This study extends this literature by testing a novel hypothesis that social resource loss on social media (e.g., "unfriending") may be associated with increased symptoms of depression and anxiety in social upheaval. A population-based sample of 1, 208 Chinese Hong Kong citizens (mean age = 46.89; 52.4% female) was recruited by random digit dialing in February 2015, two months after the conclusion of the Umbrella Movement in Hong Kong. Respondents reported social resource loss on social media, and anxiety and depressive symptoms. Hierarchical regression analyses revealed that social resource loss on social media was positively associated with depressive symptoms but not anxiety symptoms. Age moderated the positive association between social resource loss on social media and depressive symptoms. Simple slope tests revealed that the association was significant only among middle-aged (39–55 years) and older (≥56 years) adults but not younger (18–38 years) adults. The current findings shed light on the role of social media in mental health during political movements across different age groups. Highlights: The first population-based study on the mental health impact of social media in social upheaval. Online social resource loss explains the mental health impact of social media. Social resourceAbstract: Social media use has proliferated in the past ten years and studies are beginning to investigate the associations of social media use with political movements and mental health. This study extends this literature by testing a novel hypothesis that social resource loss on social media (e.g., "unfriending") may be associated with increased symptoms of depression and anxiety in social upheaval. A population-based sample of 1, 208 Chinese Hong Kong citizens (mean age = 46.89; 52.4% female) was recruited by random digit dialing in February 2015, two months after the conclusion of the Umbrella Movement in Hong Kong. Respondents reported social resource loss on social media, and anxiety and depressive symptoms. Hierarchical regression analyses revealed that social resource loss on social media was positively associated with depressive symptoms but not anxiety symptoms. Age moderated the positive association between social resource loss on social media and depressive symptoms. Simple slope tests revealed that the association was significant only among middle-aged (39–55 years) and older (≥56 years) adults but not younger (18–38 years) adults. The current findings shed light on the role of social media in mental health during political movements across different age groups. Highlights: The first population-based study on the mental health impact of social media in social upheaval. Online social resource loss explains the mental health impact of social media. Social resource loss on social media relates to higher depression in middle-aged and older adults. … (more)
- Is Part Of:
- Computers in human behavior. Volume 64(2016)
- Journal:
- Computers in human behavior
- Issue:
- Volume 64(2016)
- Issue Display:
- Volume 64, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 64
- Issue:
- 2016
- Issue Sort Value:
- 2016-0064-2016-0000
- Page Start:
- 656
- Page End:
- 662
- Publication Date:
- 2016-11
- Subjects:
- Social resource loss -- Social media -- Anxiety symptoms -- Depressive symptoms -- Political movements -- Hong Kong
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2016.07.028 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
British Library DSC - BLDSS-3PM
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- 875.xml