| Literature DB >> 33316632 |
Giovanni Castellini1, Eleonora Rossi2, Emanuele Cassioli2, Giulia Sanfilippo2, Matteo Innocenti2, Veronica Gironi2, Caterina Silvestri3, Fabio Voller3, Valdo Ricca2.
Abstract
OBJECTIVE: Italy has been largely involved by the COVID-19 pandemic. The present study aimed at evaluating the impact of the lockdown during the pandemic on mental health adopting both a longitudinal and a cross-sectional design. Accordingly, the study investigated general psychopathology a few weeks before the COVID-19 outbreak (T0) and during lockdown (T1), and the associations between lockdown-related environmental conditions, self-perceived worsening in daily living and psychopathology.Entities:
Keywords: Covid-19; Depression; Lockdown; Pandemic; Post-traumatic stress disorders; Quarantine
Year: 2020 PMID: 33316632 PMCID: PMC7716728 DOI: 10.1016/j.jpsychores.2020.110328
Source DB: PubMed Journal: J Psychosom Res ISSN: 0022-3999 Impact factor: 3.006
Socio-demographic and lockdown-related environmental conditions divided by sex, together with comparisons between groups. Continuous variables are expressed as mean ± standard deviation, whereas dichotomous variables are expressed as frequencies and percentages.
| Women (n = 479) | Men (n = 192) | ||
|---|---|---|---|
| Age (years) | 33.10 ± 14.07 | 34.95 ± 13.99 | −1.55 |
| BMI (kg/m2) | 21.31 ± 3.24 | 23.87 ± 3.02 | −9.13 |
| Graduates | 279 (58.2) | 122 (63.5) | 1.60 |
| Not working | 263 (54.9) | 82 (42.7) | 8.16 |
| Having a partner | 336 (70.1) | 137 (71.4) | 0.10 |
| Being unable to see the partner | 147 (30.7) | 48 (25.0) | 2.15 |
| Living alone | 46 (9.6) | 30 (15.6) | 4.95 |
| Having a loved one with COVID-19 | 37 (7.7) | 20 (10.4) | 1.28 |
| Reporting a moderate to severe economic damage because of COVID-19 pandemic | 151 (31.6) | 46 (24.1) | 1.22 |
| Not having left home in the last 7 days | 145 (30.3) | 35 (18.2) | 10.13 |
BMI = Body Mass Index.
p < 0.05;
p < 0.01;
p < 0.001.
Fig. 1Longitudinal course of psychopathological features. Statistically significant variations are highlighted as following: ⁎⁎ = p < 0.01; ⁎⁎⁎ = p < 0.001.
BSI = Brief Symptom Inventory; GSI = Global Severity Index.
Data on self-perceived variations induced by COVID-19 pandemic divided by sex, together with comparisons between groups and psychopathological and lockdown-related correlates.
| Women (n = 479) | Men (n = 192) | Chi-square (χ2) | Predictors (OR with 95% CI) | |||
|---|---|---|---|---|---|---|
| Psychopathological correlates assessed pre-lockdown (T0, n = 130) | Psychopathological correlates assessed in-lockdown (T1, n = 671) | Lockdown-related environmental conditions (n = 671) | ||||
| Worsened relationship with relatives | 103 (21.5) | 21 (10.9) | 10.16 | BSI-GSI: 3.43 [1.45–8.12] | BSI-GSI: 2.30 [1.63–3.24] | Having a partner: 0.17 [0.07–0.41] |
| Being unable to see the partner: 2.78 [1.08–7.17] | ||||||
| Having a loved one with COVID-19: 2.52 [1.16–5.47] | ||||||
| Intensification of household arguments | 88 (26.0) | 13 (12.6) | 8.04 | BSI-GSI: 2.32 [1.59–3.39] | Having a partner: 0.25 [0.12–0.55] | |
| Living alone: 0.15 [0.03–0.70] | ||||||
| Being unable to see the partner: 2.30 [1.06–5.01] | ||||||
| Worsened quality of sleep | 228 (47.6) | 51 (26.6) | 24.97 | BSI-GSI: 4.88 [1.90–2.51] | IES-HY: 3.42 [2.20–5.30] | Economic damage: 2.14 [1.24–3.68] |
| BSI-GSI: 1.53 [1.09–2.15] | ||||||
| Worsened sexual functioning | 161 (33.6) | 63 (32.8) | 0.04 | BSI-GSI: 3.47 [1.49–8.10] | IES-HY: 1.82 [1.23–2.70] | Economic damage: 3.40 [1.94–5.95] |
| Increased overeating | 108 (22.5) | 24 (12.5) | 8.76 | BSI-GSI: 5.32 [1.92–4.74] | IES-AV: 1.53 [1.02–2.28] | Not having left home: 1.91 [1.03–3.55] |
| BSI-GSI: 3.78 [2.61–5.49] | Having a partner: 0.29 [0.13–0.63] | |||||
| Being unable to see the partner: 2.33 [1.04–5.25] | ||||||
| Increased fear of getting fat | 245 (51.1) | 58 (30.2) | 24.27 | BSI-GSI: 3.13 [1.37–7.16] | IES-AV: 1.55 [1.09–2.20] | Having a partner: 0.35 [0.17–0.71] |
| BSI-GSI: 3.24 [2.19–4.79] | Economic damage: 1.81 [1.00–3.25] | |||||
| Increased resort to drugs against stress | 17 (7.5) | 1 (1.7) | 2.58 | BSI-GSI: 4.29 [2.10–8.73] | Being unable to see the partner: 5.91 [1.44–24.26] | |
| Increased use of social networks | 305 (63.7) | 113 (58.9) | 1.36 | BSI-GSI: 2.84 [1.16–6.96] | IES-HY: 1.75 [1.15–2.68] | Having a partner: 0.30 [0.15–0.61] |
| BSI-GSI: 1.58 [1.09–2.27] | Being unable to see the partner: 2.32 [1.15–4.68] | |||||
| Economic damage: 2.23 [1.19–4.17] | ||||||
AV = Avoidance; BSI-GSI = Brief Symptom Inventory-Global Severity Index; CI = Confidence Interval; IES = Impact of Event Scale; HY = Hyperarousal; IN = Intrusion; OR = Odds Ratio.
p < 0.05;
p < 0.01;
p < 0.001.
Fig. 2Scatter plot illustrating the relationship between pre-existing (pre-lockdown) general psychopathology and COVID-19-related post-traumatic stress symptoms.
BSI-GSI = Brief Symptom Inventory-Global Severity Index; IES = Impact of Event Scale.