| Literature DB >> 33015396 |
Abdullah Al Zubayer1, Md Estiar Rahman2, Md Bulbul Islam3, Sritha Zith Dey Babu4, Quazi Maksudur Rahman2, Md Rifat Al Mazid Bhuiyan5, Md Kamrul Ahsan Khan6, Md Ashraf Uddin Chowdhury6, Liakat Hossain6, Rahat Bin Habib7.
Abstract
BACKGROUND: The COVID-19 pandemic essentially imposes psychological effects on people. As the pandemic progresses, people experience psychological trauma gradually, which can change over time. The present study aimed to assess the prevalence of depression, anxiety, and stress among Bangladeshi people four months after the COVID-19 outbreak.Entities:
Keywords: Anxiety; Bangladeshi people; COVID-19; Depression; Psychological states; Psychology; Stress
Year: 2020 PMID: 33015396 PMCID: PMC7521899 DOI: 10.1016/j.heliyon.2020.e05057
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Socio-demographic characteristics of study participants (n = 1146).
| Characteristics | Frequency (%) |
|---|---|
| Age | |
| 18–30 | 956 (83.4) |
| >30 | 190 (16.6) |
| Gender | |
| Male | 678 (59.2) |
| Female | 468 (40.8) |
| Marital status | |
| Unmarried | 850 (74.2) |
| Married | 280 (24.4) |
| Divorced, widows, or widowers | 16 (1.4) |
| Education level | |
| Secondary or below | 71 (6.2) |
| Higher secondary/Diploma | 175 (15.3) |
| Graduation or higher | 900 (78.5) |
| Occupation | |
| Student | 672 (58.6) |
| Housewife | 45 (3.9) |
| Govt./private employee | 190 (16.6) |
| Doctor/health worker | 146 (12.7) |
| Unemployed | 93 (8.2) |
| Family member | |
| 1–4 | 601 (52.4) |
| 5–8 | 464 (40.5) |
| 9+ | 81 (7.1) |
| Residence | |
| Rural | 335 (29.2) |
| Urban | 811 (70.8) |
Figure 1Different degrees of depression, anxiety and stress four months after the COVID-19 outbreak among Bangladeshi people.
Figure 2Prevalence of depression, anxiety and stress four months after the COVID-19 outbreak among Bangladeshi people.
Prevalence of depression, anxiety, and stress four months after the COVID-19 outbreak among Bangladeshi people stratified by age.
| Variables | Age 18–30 (N = 946) | Age >30 (N = 190) | χ2 value | df | p-value |
|---|---|---|---|---|---|
| n (%) | n (%) | ||||
| Depression | |||||
| Yes | 447 (46.8) | 94 (49.5) | 0.469 | 1 | 0.493 |
| No | 509 (53.2) | 96 (50.5) | |||
| Anxiety | |||||
| Yes | 417 (43.6) | 110 (57.9) | 13.004 | 1 | <0.001 |
| No | 539 (56.4) | 80 (42.1) | |||
| Stress | |||||
| Yes | 294 (30.8) | 78 (41.1) | 7.669 | 1 | 0.006 |
| No | 662 (69.2) | 112 (58.9) | |||
Prevalence of depression, anxiety, and stress four months after the COVID-19 outbreak among Bangladeshi people stratified by gender.
| Variables | Male (N = 678) | Female (N = 468) | χ2 value | df | p-value |
|---|---|---|---|---|---|
| n (%) | n (%) | ||||
| Depression | |||||
| Yes | 308 (45.4) | 233 (49.8) | 2.111 | 1 | 0.146 |
| No | 370 (54.6) | 235 (50.2) | |||
| Anxiety | |||||
| Yes | 320 (47.2) | 207 (44.2) | 0.981 | 1 | 0.322 |
| No | 358 (52.8) | 261 (55.8) | |||
| Stress | |||||
| Yes | 225 (33.2) | 147 (31.4) | 0.398 | 1 | 0.528 |
| No | 453 (66.8) | 321 (68.6) | |||
Association of COVID-19-related factors with depression, anxiety, and stress.
| Variables | Total | Depression | Anxiety | Stress | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yes (%) | OR | 95% CI | p-value | Yes (%) | OR | 95% CI | p-value | Yes (%) | OR | 95% CI | p-value | ||
| Relatives or acquaintances infected with COVID-19 | |||||||||||||
| Yes | 673 (58.7) | 315 (46.8) | 0.962 | (0.760–1.217) | 0.745 | 289 (42.9) | 0.743 | (0.587–0.941) | 0.014 | 201 (29.9) | 0.752 | (0.586–0.966) | 0.025 |
| No | 473 (41.3) | 226 (47.8) | 1 | 238 (50.3) | 1 | 171 (36.2) | 1 | ||||||
| Relatives or acquaintances died from COVID-19 | |||||||||||||
| Yes | 297 (25.9) | 144 (48.5) | 1.072 | (0.823–1.396) | 0.609 | 153 (51.5) | 1.349 | (1.035–1.759) | 0.027 | 108 (26.3) | 1.145 | (0.866–1.514) | 0.343 |
| No | 849 (74.1) | 397 (46.8) | 1 | 374 (44.1) | 1 | 264 (35.9) | 1 | ||||||
| Daily follow up COVID-19-related news | |||||||||||||
| Yes | 735 (64.1) | 372 (50.6) | 1.467 | (1.150–1.873) | 0.002 | 364 (49.5) | 1.493 | (1.169–1.907) | 0.001 | 264 (35.9) | 1.573 | (1.205–2.053) | 0.001 |
| No | 411 (35.9) | 169 (41.1) | 1 | 163 (39.7) | 1 | 108 (26.3) | 1 | ||||||
| COVID-19 symptoms so far | |||||||||||||
| Yes | 386 (33.7) | 240 (62.2) | 2.507 | (1.949–3.225) | <0.001 | 268 (69.4) | 4.393 | (3.376–5.717) | <0.001 | 199 (51.6) | 3.611 | (2.779–4.692) | <0.001 |
| No | 760 (66.3) | 301 (39.6) | 1 | 259 (34.1) | 1 | 173 (22.8) | 1 | ||||||
| Direct contact with COVID-19 infected person | |||||||||||||
| Yes | 201 (17.5) | 108 (53.7) | 1.373 | (1.012–1.864) | 0.042 | 114 (56.7) | 1.688 | (1.241–2.295) | 0.001 | 85 (42.3) | 1.680 | (1.229–2.296) | 0.001 |
| No | 945 (82.5) | 433 (45.8) | 1 | 413 (43.7) | 1 | 287 (30.4) | 1 | ||||||
| Indirect contact with COVID-19 infected person | |||||||||||||
| Yes | 358 (31.20) | 190 (53.1) | 1.408 | (1.096–1.809) | 0.007 | 192 (53.6) | 1.564 | (1.217–2.011) | <0.001 | 141 (39.4) | 1.567 | (1.206–2.035) | 0.001 |
| No | 788 (68.8) | 351 (44.5) | 1 | 335 (42.5) | 1 | 231 (29.3) | 1 | ||||||
| Fear of COVID-19 infection | |||||||||||||
| Yes | 674 (58.8) | 360 (53.4) | 1.843 | (1.451–2.342) | <0.001 | 370 (54.9) | 2.442 | (1.913–3.118) | <0.001 | 267 (39.6) | 2.293 | (1.757–2.992) | <0.001 |
| No | 472 (41.2) | 181 (38.3) | 1 | 157 (33.3) | 1 | 105 (22.2) | 1 | ||||||