| Literature DB >> 35063358 |
Jagdish Khubchandani1, James H Price2, Sushil Sharma3, Michael J Wiblishauser4, Fern J Webb5.
Abstract
Entities:
Keywords: Anxiety; COVID-19; Depression; Infection; Survivor
Mesh:
Year: 2022 PMID: 35063358 PMCID: PMC8752310 DOI: 10.1016/j.ejim.2022.01.021
Source DB: PubMed Journal: Eur J Intern Med ISSN: 0953-6205 Impact factor: 4.487
Sociodemographic characteristics of study participants and those with psychological distress.
| Variable | Total N (%) | Depression Symptoms N (%) | Anxiety Symptoms N (%) | Psychological Distress N (%) |
|---|---|---|---|---|
| 3633(100) | 1728(47) | 1458(40) | 1400(38) | |
| Male | 2232(61) | 1086(49) | 918(41) | 886(40) |
| Female | 1401(39) | 642(46) | 540(39) | 514(37) |
| White | 2211 (61) | 1140(52) | 1009(46)* | 995(45) |
| African-Americans | 568(16) | 243(43) | 196(35) | 182(32) |
| Asian | 251(7) | 86(34) | 77(31) | 67(27) |
| Multiracial | 272(8) | 111(41) | 51(19) | 43(16) |
| Other race | 331(9) | 148(45) | 125(38) | 113(34) |
| Hispanic | 1573(43) | 899(58) | 699(45) | 676(43) |
| 18-25 years | 542(15) | 273(50) | 234(43) | 229(42) |
| 26-35 years | 1818(50) | 864(48) | 718(40) | 687(38) |
| 36-45 years | 769(21) | 374(49) | 313(41) | 296(39) |
| 46-59 years | 352(10) | 165(47) | 149(42) | 141(40) |
| ≥ 60 years | 152(4) | 52(34) | 44(29) | 47(31) |
| Single/ never married | 932(26) | 402(43) | 352(38) | 337(36) |
| Married | 2270(63) | 1134(50) | 954(42) | 922(41) |
| Engaged/ living with a partner | 220(6) | 98(45) | 78(36) | 75(34) |
| Divorced/ separated | 165(5) | 75(46) | 57(35) | 51(31) |
| Other (e.g. widowed) | 46(1) | 19(41) | 17(37) | 15(33) |
| High school or less | 321(9) | 121(38) | 113(35) | 109(34) |
| Some college experience | 934(26) | 378(41) | 314(34) | 286(31) |
| Bachelor's degree | 1837(50) | 966(53) | 800(44) | 773(42) |
| ≥Master's degree | 541(15) | 263(49) | 231(43) | 232(43) |
| Full-time | 2864(79) | 1389(49) | 1200(42) | 1172(41) |
| Part-time | 563(16) | 268(48) | 194(35) | 176(31) |
| Not employed | 206(6) | 71(35) | 64(31) | 52(25) |
| 0-$30,000 | 404(11) | 172(43) | 174(43) | 169(42) |
| $30,001-$60,000 | 1643(45) | 876(53) | 744(45) | 703(43) |
| $60,001-$99,999 | 1265(35) | 572(45) | 443(35) | 432(34) |
| ≥$100,000 | 321(9) | 108(34) | 97(30) | 96(30) |
| Rural | 784(22) | 440(56) | 388(49) | 362(46) |
| Urban | 2051(57) | 1011(49) | 837(41) | 809(39) |
| Suburban | 798(21) | 277(35) | 233(29) | 229(29) |
| Yes | 836(23) | 530(64) | 530(63) | 501(60) |
| No | 2797(77) | 1198(43) | 928(33) | 899(32) |
Indicates p<0.05. N(%) Indicates frequencies and percentages.
Regression analyses to predict psychological distress based on COVID-19 infection history.
| Outcome | Not Infected | COVID-19 Infection Survivors | |
|---|---|---|---|
| Reference | Model 1 OR (95%CI) | Model 2 AOR (95%CI) | |
| Depression | 1 | 2.31(1.97–2.72) | 1.83(1.54–2.16) |
| Anxiety | 1 | 3.49(2.97–4.10) | 2.93(2.47–3.46) |
| Moderate to Severe Psychological Distress | 1 | 3.16(2.70–3.71) | 2.58(2.18–3.05) |
Indicates p<0.05. OR= odds ratios, AOR=adjusted odds ratios, 95%CI= confidence intervals. The binary outcomes were depression, anxiety, and moderate to severe psychological distress (yes vs. no). The predictor variable was COVID-19 infection (yes. vs. no). Not infected served as the comparison group (Ref, OR=1). Model 1 illustrates unadjusted regression analysis to predict psychological outcomes. Model 2 shows multiple regression analysis after adjusting for all the sociodemographic characteristics (n = 8) from Table 1.