| Literature DB >> 34979179 |
Constantinos M Kokkinos1, Costas N Tsouloupas2, Ioanna Voulgaridou3.
Abstract
BACKGROUND: The purpose of this study was to provide an operating mechanism for understanding the effects of COVID-19's on satisfaction with life, subject to students' general mental healthEntities:
Keywords: COVID-19 impact; Mediation; Mental health; Satisfaction with life; University students; Well-being
Mesh:
Year: 2022 PMID: 34979179 PMCID: PMC8733280 DOI: 10.1016/j.jad.2021.12.114
Source DB: PubMed Journal: J Affect Disord ISSN: 0165-0327 Impact factor: 4.839
Fig. 1Suggested model of the direct and indirect effects of perceived psychological, academic, and financial impact of COVID-19 during the pandemic on SWL, subject to students’ general mental health.
Descriptive statistics, Cronbach's alphas (in parentheses) and bivariate correlations between perceived COVID-19 impact, SWB, GMH.
| COV_FIN | COV_MENT | COV_ACAD | GMH | SWL | |
|---|---|---|---|---|---|
| COV_MENT | .30 | ||||
| COV_ACAD | .29 | .36 | |||
| GMH | .17 | .42 | .36 | (.88) | |
| SWL | -.19 | -.26 | -.25 | -.54 | (.84) |
| Descriptive statistics | |||||
| Means | 4.45 | 5.06 | 3.74 | 1.29 | 4.22 |
| SD | 1.92 | 1.74 | 1.98 | .60 | 1.33 |
Note. Factor correlation matrix was estimated using maximum likelihood with robust standard errors and full information maximum likelihood (FIML) (N = 1653). SWB = Subjective Well-Being, GMH = General Mental Health, COV_FIN = Covid_Financial, COV_MENT = Covid_Mental, COV_ACAD = Covid_Academic.
p < .01
Participants’ socio-demographic data.
| Greece | Cyprus | |||
|---|---|---|---|---|
| N | % | N | % | |
| Total | 802 | 49.1 | 830 | 50.9% |
| Age | ||||
| 18-25 | 424 | 25.9 | 612 | 37.5 |
| 26-50 | 335 | 20.5 | 202 | 12.4 |
| 50+ | 43 | 2.6 | 16 | 0.9 |
| Gender | ||||
| Females | 570 | 34.9 | 620 | 39.9 |
| Males | 232 | 14.2 | 210 | 12.9 |
| Level of Studies | ||||
| Undergraduate | 376 | 23 | 700 | 42.9 |
| Graduate/Doctoral/Post-Doc | 426 | 26.1 | 130 | 8 |
Means and standard deviations across gender and gender differences.
| Male | Female | ||||||
|---|---|---|---|---|---|---|---|
| Variables | M | SD | M | SD | |||
| COV_FIN | 4.46 | 1.88 | 4.45 | 2.04 | 13.57 | 1651 | .87 |
| COV_MENT | 4.75 | 1.84 | 5.18 | 1.68 | 11.14 | 1651 | <.001 |
| COV_ACAD | 3.91 | 1.99 | 3.67 | 1.98 | .29 | 1651 | <.05 |
| GMH | 1.22 | .59 | 1.31 | .60 | .42 | 1651 | <.01 |
| SWL | 4.07 | 1.31 | 4.27 | 1.33 | .09 | 1651 | <.01 |
Note. SWB = Subjective Well-Being, GMH = General Mental Health, COV_FIN = Covid_Financial, COV_MENT = Covid_Mental, COV_ACAD = Covid_Academic.
Indirect effects of Covid -19 impacts on SWL through GMH.
| COVID-19 impact as predictors of GMH | GMH as predictor of SWL | COVID-19 impact as predictors of SWL | |
|---|---|---|---|
| COV_FIN | .17 | -.52 | -.10 |
| COV_MENT | .42 | -.52 | -.04 |
| COV_ACAD | .36 | -.51 | -.06 |
Note 1. SWB = Subjective Well-Being, GMH = General Mental Health, COV_FIN = Covid_Financial, COV_MENT = Covid_Mental, COV_ACAD = Covid_Academic.
Note2. *p <.05; **p <.01.