期刊
EUROPEAN JOURNAL OF AGEING
卷 19, 期 4, 页码 849-861出版社
SPRINGER
DOI: 10.1007/s10433-021-00640-8
关键词
Loneliness; Sadness; depression; Covid-19; Cross-country comparison; Multilevel analysis; SHARE
类别
资金
- H2020 SHARE-COVID project [101015924]
- European Commission [QLK6-CT-2001-00360, SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812, HARE-PREP: GA Ndegrees211909, SHARE-LEAP: GA Ndegrees227822, SHARE M4: GA Ndegrees261982, DASISH: GA Ndegrees283646]
- Horizon 2020 [SHARE-DEV3: GA Ndegrees676536, SHARE-COHESION: GA Ndegrees870628, SERISS: GA Ndegrees654221, SSHOC: GA Ndegrees823782]
- DG Employment, Social Affairs Inclusion
- German Ministry of Education and Research, the Max Planck Society for the Advancement of Science, the U.S. National Institute on Aging [U01_ AG09740-13S2, P01_ AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C]
The study found that epidemic control measures can have negative impacts on the mental well-being of older adults, especially in the medium-term after the first wave of the pandemic. Macro-indicators influence increased feelings of sadness/depression, while individual factors are crucial in explaining increased feelings of loneliness. Models with interaction terms show that macro-indicators have negative consequences on well-being, particularly for the oldest participants in the survey.
Epidemic control measures that aim to introduce social distancing help to decelerate the spread of the COVID-19 pandemic. However, their consequences in terms of mental well-being might be negative, especially for older adults. While existing studies mainly focus on the time during the first lockdown, we look at the weeks afterward in order to measure the medium-term consequences of the first wave of the pandemic. Using data from the SHARE Corona Survey, we include retired respondents aged 60 and above from 25 European countries plus Israel. Combining SHARE data with macro-data from the Oxford COVID-19 Government Response Tracker allows us to include macro-indicators at the country level, namely the number of deaths per 100,000 and the number of days with stringent epidemic control measures, in addition to individual characteristics. The findings show that both macro-indicators are influential for increased feelings of sadness/depression, but that individual factors are crucial for explaining increased feelings of loneliness in the time after the first lockdown. Models with interaction terms reveal that the included macro-indicators have negative well-being consequences, particularly for the oldest survey participants. Additionally, the results reveal that especially those living alone had a higher risk for increased loneliness in the time after the first COVID-19 wave.
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