| Literature DB >> 33731245 |
Karni Ginzburg1, Mario Mikulincer2, Avi Ohry3, Zahava Solomon1.
Abstract
BACKGROUND: The aim of this study was to examine whether exposure to previous traumatic events is a risk factor for stress reactions during this pandemic. Capitalizing on a 29-year longitudinal study of Israeli ex-prisoners of war (ex-POWs) and combat veterans, we examined whether captivity is a risk factor for fear of coronavirus disease 2019 (COVID-19) and COVID-19-induced acute stress disorder (COVID-19 ASD) beyond the effects of combat exposure and other stressful life events. In addition, we examined the contribution of captivity experiences (severity of captivity, experience of solitary confinement, and suffering during captivity) and veterans' appraisal of the impact of their war-related experiences on adjustment to the current quarantine and isolation to fear of COVID-19 and COVID-19 ASD.Entities:
Keywords: COVID-19; acute stress disorder; prisoners of war
Year: 2021 PMID: 33731245 PMCID: PMC8007947 DOI: 10.1017/S003329172100115X
Source DB: PubMed Journal: Psychol Med ISSN: 0033-2917 Impact factor: 7.723
Differences between ex-POWs and controls in demographic and study variables
| Ex-POWs | Controls | |||
|---|---|---|---|---|
| Age (T4) | 69.38 (4.33) | 68.17 (2.84) | 2.03 | 0.044 |
| Education (T4) | 14.57 (4.03) | 14.75 (3.00) | 0.31 | 0.761 |
| Life events (T1) | 6.20 (5.00) | 5.75 (4.98) | 0.59 | 0.56 |
| Life events (T3) | 3.45 (1.87) | 3.28 (1.35) | 0.66 | 0.47 |
| COVID-19 exposure (T4) | 1.26 (1.47) | 1.14 (1.27) | 0.55 | 0.58 |
| Fear of COVID-19 (T4) | 4.89 (0.86) | 4.41 (0.93) | 3.50 | 0.001 |
| COVID-19 ASD (T4) | 2.07 (0.84) | 1.45 (0.54) | 3.42 | 0.001 |
| χ2 | ||||
| Living with spouse (T4) | 115 (95.8%) | 56 (85.7%) | 6.51 | 0.04 |
| COVID-19-related occupational status (T4) | 16.51 | 0.001 | ||
| Working, no change | 18 (15%) | 25 (38.8%) | ||
| Working, some change | 22 (18.3%) | 12 (18.5%) | ||
| Not working due to COVID-19 | 18 (15%) | 11 (16.9%) | ||
| Not working, no change | 62 (51.7%) | 17 (26.2%) | ||
| Appraisal of war experiences (T4) | 25.02 | <0.001 | ||
| Facilitate | 24 (20.0%) | 7 (10.8%) | ||
| No effect | 51 (42.5%) | 52 (80.0%) | ||
| Hinder | 45 (37.5%) | 6 (9.2%) |
The appraisal of war experiences refers to the effect of war experiences on adjustment to COVID-19-induced lockdown and home isolation; life events at T3 represent the sum of number of life events at T2 and T3.
Predicting COVID-19 ASD and fear of COVID-19 according to background variables, COVID-19 exposure, appraisal of war experiences and group (N = 185)
| Fear of COVID-19 | COVID-19 ASD | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Step 1 | ||||||||||
| Age (T4) | −0.149 | 0.106 | −0.102 | −1.408 | 0.161 | −0.155 | 0.058 | −0.193 | −2.690 | 0.008 |
| Living with spouse (T4) | 0.078 | 0.104 | 0.053 | 0.748 | 0.455 | 0.069 | 0.057 | 0.085 | 1.217 | 0.225 |
| Occupational status (T4) | 0.168 | 0.109 | 0.114 | 1.538 | 0.126 | 0.158 | 0.059 | 0.197 | 2.670 | 0.008 |
| Education (T4) | −0.425 | 0.108 | −0.290 | −3.928 | 0.000 | −0.196 | 0.059 | −0.244 | −3.336 | 0.001 |
| Life events (T1) | 0.123 | 0.107 | 0.083 | 1.156 | 0.249 | 0.041 | 0.058 | 0.051 | 0.709 | 0.479 |
| Life events (T3) | −0.038 | 0.107 | −0.025 | −0.353 | 0.724 | −0.033 | 0.058 | −0.040 | −0.569 | 0.570 |
| COVID-19 exposure (T4) | 0.186 | 0.107 | 0.127 | 1.744 | 0.083 | 0.072 | 0.058 | 0.089 | 1.242 | 0.216 |
| Step 2 | ||||||||||
| Age (T4) | −0.152 | 0.104 | −0.104 | −1.469 | 0.144 | −0.135 | 0.051 | −0.169 | −2.662 | 0.009 |
| Living with spouse (T4) | 0.014 | 0.101 | 0.009 | 0.134 | 0.894 | 0.016 | 0.050 | 0.020 | 0.319 | 0.750 |
| Occupational status (T4) | 0.027 | 0.111 | 0.018 | 0.244 | 0.808 | 0.035 | 0.054 | 0.044 | 0.649 | 0.517 |
| Education (T4) | −0.394 | 0.105 | −0.269 | −3.731 | 0.000 | −0.153 | 0.052 | −0.191 | −2.949 | 0.004 |
| Life events (T1) | 0.072 | 0.103 | 0.049 | 0.699 | 0.485 | 0.000 | 0.051 | 0.001 | 0.009 | 0.993 |
| Life events (T3) | −0.049 | 0.107 | −0.032 | −0.457 | 0.648 | −0.047 | 0.052 | −0.056 | −0.887 | 0.376 |
| COVID-19 exposure (T4) | 0.139 | 0.104 | 0.094 | 1.338 | 0.183 | 0.039 | 0.051 | 0.049 | 0.766 | 0.445 |
| Group | 0.293 | 0.145 | 0.198 | 2.024 | 0.045 | 0.261 | 0.071 | 0.322 | 3.667 | 0.000 |
| Appraisal of war experiences (T4) | 0.320 | 0.122 | 0.216 | 2.621 | 0.010 | 0.276 | 0.060 | 0.341 | 4.612 | 0.000 |
| Captivity Group *exposure | −0.074 | 0.138 | −0.043 | −0.535 | 0.593 | 0.068 | 0.068 | 0.072 | 1.012 | 0.313 |
| Captivity Group*appraisal | 0.036 | 0.077 | 0.044 | 0.473 | 0.637 | −0.009 | 0.038 | −0.019 | −0.230 | 0.819 |
Notes. Group: ex-POWs = 1, controls = 0. Marital status (1 = living with spouse; 0); working status (1 = change due the COIVD-19, 0 = no change). Life events at T3 represent the sum of number of life events at T2 and T3. The appraisal of war experiences refers to the effect of war experiences on adjustment to COVID-19-induced lockdown and home isolation.
Captivity experience, fear of COVID-19, and COVID-19 ASD according to appraisal of war experiences among ex-POWs (N = 120)
| Facilitate | No effect | Hinder | |||
|---|---|---|---|---|---|
| Severity of captivity (T1) | 11.26 (2.48) | 13.96 (5.38) | 13.00 (5.22) | 2.46 | 0.090 |
| Suffering during captivity (T1) | 3.78 (0.61) | 3.64 (0.64) | 3.84 (0.82) | 0.94 | 0.394 |
| Fear of COVID-19 (T4) | 4.48 (1.39) | 4.37 (1.44) | 5.45 (1.22) | 8.25 | <001 |
| COVID-19 ASD (T4) | 1.69 (0.51) | 1.68 (0.66) | 2.06 (0.85) | 26.28 | <001 |
Predicting fear of COVID-19 and COVID-19 ASD according to background variables (N = 120)
| Fear of COVID-19 | COVID-19 ASD | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Step 1 | ||||||||||
| Age (T4) | −0.055 | 0.031 | −0.157 | −1.762 | 0.081 | −0.059 | 0.018 | −0.283 | −3.218 | 0.002 |
| Education (T4) | −0.121 | 0.034 | −0.321 | −3.583 | 0.001 | −0.067 | 0.020 | −0.296 | −3.341 | 0.001 |
| Living with Spouse (T4) | 1.874 | 0.610 | 0.266 | 3.071 | 0.003 | 0.890 | 0.358 | 0.213 | 2.483 | 0.015 |
| Occupational Status (T4) | 0.045 | 0.113 | 0.036 | 0.397 | 0.692 | 0.099 | 0.066 | 0.134 | 1.497 | 0.137 |
| Life events (T1) | 0.013 | 0.025 | 0.046 | 0.533 | 0.595 | 0.004 | 0.015 | 0.021 | 0.243 | 0.808 |
| Life events (T3) | −0.129 | 0.142 | −0.079 | −0.910 | 0.365 | −0.081 | 0.083 | −0.084 | −0.977 | 0.331 |
| COVID-19 exposure (T4) | 0.148 | 0.088 | 0.153 | 1.687 | 0.094 | 0.051 | 0.052 | 0.089 | 0.995 | 0.322 |
| Step 2 | ||||||||||
| Age (T4) | −0.007 | 0.033 | −0.020 | −0.214 | 0.831 | −0.022 | 0.019 | −0.109 | −1.208 | 0.230 |
| Education (T4) | −0.101 | 0.034 | −0.267 | −2.947 | 0.004 | −0.035 | 0.019 | −0.156 | −1.833 | 0.070 |
| Living with spouse (T4) | 1.277 | 0.589 | 0.181 | 2.167 | 0.033 | 0.541 | 0.329 | 0.129 | 1.645 | 0.103 |
| Occupational Status (T4) | 0.010 | 0.107 | 0.008 | 0.097 | 0.923 | 0.048 | 0.060 | 0.065 | 0.803 | 0.424 |
| Life events (T1) | 0.010 | 0.024 | 0.035 | 0.408 | 0.684 | −0.008 | 0.014 | −0.048 | −0.601 | 0.549 |
| Life Events (T3) | −0.242 | 0.137 | −0.148 | −1.769 | 0.080 | −0.100 | 0.077 | −0.103 | −1.311 | 0.193 |
| COVID-19 exposure (T4) | 0.085 | 0.084 | 0.087 | 1.011 | 0.314 | 0.009 | 0.047 | 0.016 | 0.198 | 0.844 |
| Severity of captivity (T1) | −0.073 | 0.025 | −0.249 | −2.866 | 0.005 | −0.012 | 0.014 | −0.067 | −0.814 | 0.418 |
| Solitary confinement (T1) | 0.039 | 0.195 | 0.018 | 0.198 | 0.843 | −0.178 | 0.109 | −0.139 | −1.634 | 0.105 |
| Suffering during captivity (T1) | 0.601 | 0.191 | 0.297 | 3.137 | 0.002 | 0.263 | 0.107 | 0.219 | 2.458 | 0.016 |
| Appraisal of war experiences (T4) | 0.429 | 0.165 | 0.224 | 2.608 | 0.010 | 0.49 | 0.092 | 0.431 | 5.335 | 0.000 |
Solitary confinement: 0 = no, 1 = Yes. Life events at T3 represent the sum of number of life events at T2 and T3. The appraisal of war experiences refers to the effect of war experiences on adjustment to COVID-19-induced lockdown and home isolation.
COVID-19 exposure, and captivity experiences among ex-POWs (N = 120).