| Literature DB >> 34207964 |
Ofer Amram1,2, Porismita Borah3, Deepika Kubsad4,5,6,7, Sterling M McPherson4,5,6,7.
Abstract
BACKGROUND: Lockdown measures because of COVID-19 are likely to result in deteriorating physical and mental health. In this study, our aim was to assess the impact of media exposure on increases in substance use during the COVID-19 pandemic.Entities:
Keywords: COVID-19; drug misuse; substance abuse
Mesh:
Year: 2021 PMID: 34207964 PMCID: PMC8296128 DOI: 10.3390/ijerph18126318
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
List of questions to determine COVID-19 knowledge.
| Please indicate if it is TRUE or FALSE, for each of the following statements about the COVID-19 virus: |
| 1. Antibiotics can be used to treat the COVID-19 virus |
| 2. People of all ages can become infected with COVID-19 |
| 3. People of all racial and ethnic groups can become infected with the COVID-19 |
| 4. Eating garlic can lower your chances of getting infected with the COVID-19 virus. |
| 5. Most people who are infected with the COVID-19 virus die from it. |
| 6. Most people who are infected with the COVID-19 virus recover from it. |
| 7. Older adults or those with compromised immune systems are at a higher risk. |
Characteristics of survey participants stratified by whether they experienced increased substance use during COVID-19 (n = 1213).
| Substance Use Increase during COVID-19 | ||||
|---|---|---|---|---|
| Characteristics | No Increase = 1016 (83.8%) | Increase = 197 (16.2%) | ||
| Age Group | - | |||
| 18–39 | 616 (51.0) | 511 (83) | 105 (17) | <0.001 |
| 40–59 | 360 (29.7) | 283 (78.6) | 77 (21.4) | |
| 60 and over | 234 (19.3) | 219 (93.6) | 15 (6.4) | |
| NA | 3 (0.2) | 3 (0.3) | 0 (0.0) | |
| Gender | ||||
| Female | 604 (49.8) | 520 (86.1) | 84 (13.9) | 0.034 |
| Male | 592 (48.8) | 483 (81.6) | 109 (18.4) | |
| NA | 17 (1.4) | 13 (1.2) | 4 (2.0) | |
| Race | ||||
| White | 772 (63.3) | 654 (84.7) | 118 (15.3) | 0.232 |
| Non-White | 441 (36.4) | 362 (82.1) | 79 (17.9) | |
| NA | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
| Education Level | ||||
| High School Diploma or less | 265 (21.8) | 227 (85.7) | 38 (14.3) | 0.074 |
| Higher Education | 911 (75.1) | 753 (82.7) | 158 (17.3) | |
| NA | 37 (3.0) | 36 (3.5) | 1 (0.5) | |
| Rurality | ||||
| Urban | 919 (76.3) | 756 (82.3) | 163 (17.7) | 0.052 |
| Large rural | 63 (5.1) | 53 (84.1) | 10 (15.9) | |
| Small rural | 204 (16.5) | 184 (90.2) | 20 (9.8) | |
| Isolated | 23 (1.8) | 19 (82.6) | 4 (17.4) | |
| NA | 4 (0.3) | 4 (0.4) | 0 (0.0) | |
| Income | ||||
| <$49,999 | 300 (24.7) | 254 (84.7) | 46 (15.3) | <0.001 |
| $49,999–$74,999 | 466 (38.4) | 416 (89.3) | 50 (10.7) | |
| >$75,000 | 442 (36.4) | 341 (77.1) | 101 (22.9) | |
| NA | 5 (0.4) | 5 (0.5) | 0 (0.0) | |
| Political Orientation | ||||
| Liberal | 475 (39.2) | 402 (84.6) | 73 (15.4) | 0.012 |
| Moderate | 224 (18.5) | 198 (88.4) | 26 (11.6) | |
| Conservative | 435 (35.9) | 347 (79.8) | 88 (20.2) | |
| COVID-19 Knowledge—Cable News Consumption | ||||
| LK–LCC | 106 (8.7) | 96 (90.6) | 10 (9.4) | <0.001 |
| LK–MCC | 168 (13.8) | 135 (80.4) | 33 (19.6) | |
| LK–HCC | 197 (16.2) | 127 (64.5) | 70 (35.5) | |
| HK–LCC | 152 (12.5) | 145 (95.4) | 7 (4.6) | |
| HK–MCC | 265 (21.8) | 235 (88.7) | 30 (11.3) | |
| HK–HCC | 323 (26.2) | 278 (86.1) | 45 (13.9) | |
| NA | 2 (0.1) | 0 (0.0) | 2 (1.0) | |
| COVID-19 Knowledge—Social Media Consumption | ||||
| LK–LSMC | 90 (7.4) | 82 (91.1) | 8 (8.9) | <0.001 |
| LK–MSMC | 112 (9.2) | 89 (79.5) | 23 (20.5) | |
| LK–HSMC | 269 (22.2) | 186 (69.1) | 83 (30.9) | |
| HK–LSMC | 257 (21.2) | 247 (96.1) | 10 (3.9) | |
| HK–MSMC | 170 (14.0) | 149 (98.8) | 21 (1.2) | |
| HK–HSMC | 314 (25.9) | 262 (83.4) | 52 (16.6) | |
| NA | 1 (0.0) | 1 (0.0) | 0 (0.0) | |
Note—LK: low COVID-19 knowledge; HK: high COVID-19 knowledge; LCC: low cable news consumption; MCC: mid cable news consumption; HCC: high cable news consumption; LSMC: low social media consumption; MSMC: mid social media consumption; HSMC: high social media consumption.
Figure 1Increases in substance use during COVID-19 and the two primary explanatory interaction variables representing COVID-19 knowledge and media exposure (cable news and social media).
Unadjusted and adjusted GLMs analyses of COVID-19 knowledge together with media exposure and increase in substance use during the pandemic (n = 1213).
| Variable | Unadjusted | Adjusted | |
|---|---|---|---|
| OR | Cable News | Social Media | |
| (95% CI) | OR (95% CI) | OR (95% CI) | |
| COVID-19 Knowledge—Cable News Consumption | |||
| HK–LCC (Ref) | - | - | - |
| HK–MCC | 2.64 (1.19–6.69) ** | 3.42 (1.16–7.44) * | - |
| HK–HCC | 3.35 (1.56–8.30) ** | 4.56 (1.66–10.15) ** | - |
| LK–LCC | 2.15 (0.80–6.12) | 2.94 (0.93–8.29) | - |
| LK–MCC | 5.06 (2.29–12.82) *** | 5.77 (2.06–13.49) ** | - |
| LK–HCC | 11.41 (5.40–28.11) *** | 11.64 (4.01–24.45) *** | - |
| COVID-19 Knowledge—Social Media Consumption | |||
| HK–LSMC (Ref) | - | - | - |
| HK–MSMC | 3.48 (1.63–7.90) ** | - | 2.93 (1.25–7.48) * |
| HK–HSMC | 4.90 (2.54–10.43) *** | - | 4.85 (2.31–11.4) ** |
| LK–LSMC | 2.40 (0.89–6.31) * | - | 2.65 (0.82–7.31) |
| LK–MSMC | 6.38 (2.99–14.53) *** | - | 5.56 (2.21–13.81) *** |
| LK–HSMC | 11.02 (5.82–23.16) *** | - | 9.91 (4.71–23.61) *** |
| Political Orientation | |||
| Liberal (Ref) | - | - | - |
| Moderate | 0.76 (0.45–1.26) | 0.75 (0.44–1.25) | 0.69 (0.40–1.14) |
| Conservative | 1.32 (0.90–1. 94) | 1.18 (0.80–1.74) | 1.21 (0.82–1.78) |
| Age Group | |||
| 18–39 (Ref) | - | - | |
| 40–59 | 1.33 (0.91–1.31) | 1.49 (1.02–2.1) ** | 1.68 (1.15–2.47) * |
| 60 and over | 0.33 (0.18–0.57) *** | 0.51 (0.27–0.93) ** | 0.78 (0.40–1.42) |
| Gender | - | ||
| Female (Ref) | - | - | - |
| Male | 1.39 (1.02–1.90) * | 1.46 (0.99–2.15) | 1.49 (1.02–2.19) * |
| Race | - | ||
| Non-White (Ref) | - | - | |
| White | 0.82 (0.60–1.13) | 0.85 (0.58–1.27) | 0.90 (0.60–1.34) |
| Rurality | |||
| Isolated (Ref) | - | - | |
| Large rural | 0.89 (0.26–3.57) | 1.02 (0.23–5.51) | 1.24 (0.30–6.45) |
| Small rural | 0.51 (0.17–1.91) | 0.47 (0.12–2.37) | 0.57 (0.15–2.76) |
| Urban | 1.02 (0.37–3.56) | 0.99 (0.28–4.67) | 1.17 (0.35–3.56) |
| Income | |||
| <$49,999 (Ref) | - | - | |
| $49,999–$74,999 | 0.66 (0.43–1.02) * | 0.79 (0.49–1.30) | 0.75 (0.46–1.23) |
| >$75,000 | 1.63 (1.11–2.41) ** | 1.31 (0.81–2.14) | 1.27 (0.79–2.08) |
| Education Level | |||
| Higher Education (Ref) | - | - | |
| High School Diploma or less | 0.70 (0.47–1.02) * | 0.90 (0.56–1.42) | 0.85 (0.53–1.32) |
Notes: LK: low COVID-19 knowledge; HK: high COVID-19 knowledge; LCC: low cable news consumption; MCC: mid cable news consumption; HCC: high cable news consumption; LSMC: low social media consumption; MSMC: mid social media consumption; HSMC: high social media consumption; OR: odds ratio; *** p < 0.001, ** p < 0.01, * p < 0.05.