| Literature DB >> 33291377 |
Malte Schwinger1, Maike Trautner1, Henrike Kärchner1, Nantje Otterpohl2.
Abstract
All over the world; measures have been implemented to contain the novel Sars-CoV-2 virus since its outbreak in the beginning of 2020. These measures-among which social distancing and contact restrictions were most prominent-may have an overall effect on people's psychological well-being. The present study seeks to examine whether lockdown measures affected people's well-being; anxiety; depressive symptoms during the lockdown and whether these effects could be explained by reduced satisfaction of the basic psychological needs of autonomy and relatedness. N = 1086 participants of different ages and educational levels from all over Germany reported strong declines in autonomy and well-being; small declines in relatedness satisfaction; moderate increases in anxiety and depressive symptoms. These effects were stronger for people with moderate to bad subjective overall health. Latent change modeling revealed that, especially, decreases in autonomy satisfaction led to stronger decreases in well-being as well as stronger increases in anxiety and depressive symptoms; whereas decreases in relatedness had much weaker effects. Our results imply differential effects depending on individual preconditions; but also more generally that peoples' need for autonomy was most strongly affected by the lockdown measures, which should be considered as important information in planning future lockdowns.Entities:
Keywords: Sars-CoV-2; anxiety; autonomy; basic psychological needs; depression; lockdown; mental health; pandemic; well-being
Mesh:
Year: 2020 PMID: 33291377 PMCID: PMC7731307 DOI: 10.3390/ijerph17239083
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Scale Means, Standard Deviations, Reliabilities, and Cohen’s d’s.
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| (1) Autonomy | 3.78 (0.71) | 0.76 | 3.25 (0.74) | 0.73 | −22.30 * (917) | −0.71 |
| (2) Relatedness | 4.24 (0.67) | 0.82 | 4.16 (0.74) | 0.80 | −4.26 * (914) | −0.15 |
| (3) Well-Being | 3.04 (0.65) | 0.89 | 2.65 (0.71) | 0.83 | −17.33 * (900) | −0.59 |
| (4) Anxiety | 1.79 (0.64) | 0.74 | 2.02 (0.70) | 0.78 | 12.47 * (902) | 0.40 |
| (5) Depression | 1.71 (0.58) | 0.80 | 1.91 (0.69) | 0.83 | 8.94 * (896) | 0.32 |
Note. T1 = Before Lockdown, T2 = Today. M = Scale Mean, SD = Standard Deviation, α = Cronbachs alpha, t = value of t-distribution, df = degrees of freedom, d = Cohen’s d (effect size measure). * p < 0.05.
Figure 1(A) Example of the Measurement Model Part of the Latent Change Model for Life Satisfaction (B) Structural Part of the Latent Change Model; standardized coefficients are reported. t1 = before the lockdown, t2 = today, LSij = life satisfaction observed indicator no. i at time point j (1 = before lockdown, 2 = now). εij = residual of item no. i at time point j, λi = time-invariant factor loading of observed indicator i, regression coefficients of the latent difference variable (diffls) and state life satisfaction at t1 were fixed at 1, the residual variance of state life satisfaction at t2 was fixed at 0.
Figure 2Differential Changes in Respective Age Groups. d = Cohen’s d (effect size), * p < 0.05.
Figure 3Differential Changes in the Full Sample and for People with Children Living in Their Household. d = Cohen’s d (effect size), * p < 0.05.
Figure 4Differential Changes for People with Bad vs. Good General Health. d = Cohen’s d (effect size), * p < 0.05.