| Literature DB >> 33718526 |
Abstract
The COVID-19 pandemic has created a pattern of physical distancing worldwide, particularly for adults aged 65+. Such distancing can evoke subjective feelings of negative self-perception of aging (SPA) among older adults, but how this pandemic has influenced such SPA is not yet known. This study, therefore, explored SPA at different time phases of the COVID-19 pandemic to explain the pandemic's impact on SPA among older adults. The analysis employed a sample of 1,990 community-dwelling older adults aged 65 to 95 (mean age = 72.74 years; 43% female) in Switzerland. Data collection from different older adults within one study occurred both before and after Switzerland's first confirmed COVID-19 case. The descriptive analysis revealed that negative SPA increased, and positive SPA decreased, after the Swiss government recommended physical distancing. After the Federal Council decided to ease these measures, negative SPA slightly decreased and positive SPA increased. According to the multivariate analysis, individuals interviewed after the lockdown were more likely to report greater levels of negative SPA and lower levels of positive SPA. Age, income, and living alone also correlated with SPA. The results suggest that the pandemic has affected older adults' subjective views of their own aging, and these findings help illustrate the pandemic's outcomes.Entities:
Keywords: COVID-19; SARS-CoV-2; Switzerland; isolation; subjective age
Year: 2021 PMID: 33718526 PMCID: PMC7917880 DOI: 10.1177/2333721421999320
Source DB: PubMed Journal: Gerontol Geriatr Med ISSN: 2333-7214
Descriptive Characteristics of the Sample and Subgroups.
| Study sample
( | Subgroup 1 (Jan 27–Mar 6)
( | Subgroup 2 (Mar 7–Mar 16)
( | Subgroup 3 (Mar 17–Apr 8)
( | Subgroup 4 (Apr 9–May 5)
( | ||
|---|---|---|---|---|---|---|
| Parameter | Scale | % or Mean | % or Mean | % or Mean | % or Mean | % or Mean |
| Gender | Female | 42.8 | 56.0 | 33.5 | 37.1 | 60.4 |
| Male | 57.2 | 44.0 | 66.5 | 62.9 | 39.6 | |
| Age | Mean[ | 72.74 | 74.51 | 72.10 | 72.24 | 72.95 |
| Living alone | Yes | 26.5 | 30.7 | 23.8 | 27.5 | 23.3 |
| No | 73.5 | 69.3 | 76.2 | 72.5 | 76.7 | |
| Education | Mean[ | 2.94 | 3.18 | 2.93 | 2.77 | 3.04 |
| Income | Mean[ | 5.33 | 5.11 | 5.56 | 5.36 | 5.14 |
| Children | Yes | 85.6 | 88.0 | 85.6 | 85.1 | 83.8 |
| No | 14.4 | 12.0 | 14.4 | 14.9 | 16.2 | |
| Living area | Non-Rural | 76.7 | 69.3 | 78.4 | 80.2 | 74.2 |
| Rural | 23.3 | 30.7 | 21.6 | 19.8 | 25.8 | |
| Positive SPA | Mean[ | 3.74 | 3.86 | 3.66 | 3.70 | 3.87 |
| Negative SPA | Mean[ | 2.15 | 2.13 | 2.19 | 2.16 | 2.06 |
Age range: 65 to 95.
Education scale (1 = preprimary education, 5 = second state of tertiary education).
Income scale (1 = up to 1,200 CHF [Swiss francs], 9 = over 15,000 CHF).
Positive SPA scale (1 = low, 5 = high).
Negative SPA scale (1 = low, 5 = high).
Figure 1.Differences in self-perception of aging (SPA) between the four time groups.
Linear Regression Analyses with Positive and Negative SPA as Dependent Variables.
| Single gross models with positive SPA | Model A: positive SPA | Single gross models with negative SPA | Model B: negative SPA | ||
|---|---|---|---|---|---|
| Parameter | Scale | β | β | β | β |
| Age | 65–95 | −.101 | −.129 | .111 | .103 |
| Gender | Female (ref. male) | .025 | −.010 | −.033 | .016 |
| Education | 1–5 | .101 | .072 | −.020 | .045 |
| Income | 1–9 | .051 | .040 | −.124 | −.083 |
| Living alone | Yes (ref. no) | .026 | .059 | .171 | .135 |
| Children | Yes (ref. no) | .002 | .032 | −.060 | −.044 |
| Rural area | Yes (ref. no) | −.004 | −.012 | .009 | .024 |
| Subgroup 2 (Mar 7–Mar 16) | ref. Subgroup 1 (Jan 27–Mar 6) | −.114 | −.116 | .030 | .102 |
| Subgroup 3 (Mar 17–Apr 8) | ref. Subgroup 1 (Jan 27–Mar 6) | −.094 | −.097 | .011 | .067 |
| Subgroup 4 (Apr 9–May 5) | ref. Subgroup 1 (Jan 27–Mar 6) | .005 | .005 | −.030 | −.010 |
| Model fit | F (10/1,618) = 5.785; | F (10/1,612) = 9.211; |
Note. Dependent variables: Positive and negative SPA scales (scale 1–5).
p < .05. **p < .01. ***p < .001.