| Literature DB >> 35381568 |
Andrew Stickley1, Aya Shirama2, Takuma Inagawa3, Tomiki Sumiyoshi2.
Abstract
BACKGROUND: There is some evidence that alcohol use may have changed during the coronavirus pandemic. However, as yet, there has been comparatively little focus on heavy/excessive drinking. This study examined binge drinking (BD) in Japan during the coronavirus pandemic and its association with COVID-19 preventive behaviors.Entities:
Keywords: Alcohol; Coronavirus; Heavy drinking; Public health
Mesh:
Year: 2022 PMID: 35381568 PMCID: PMC8934738 DOI: 10.1016/j.drugalcdep.2022.109415
Source DB: PubMed Journal: Drug Alcohol Depend ISSN: 0376-8716 Impact factor: 4.852
Association between binge drinking and COVID-19 preventive behaviors in Japan (N = 1439).
| Model 1 | Model 2 | Model 3 | Model 4 | ||
|---|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | ||
| PR (%) | |||||
| Wash hands after going out/before meal | 70.8 | ||||
| Wear a mask | 93.1 | ||||
| Gargle | 53.0 | 0.86 (0.68–1.08) | 0.93 (0.72–1.18) | 0.94 (0.74–1.21) | 0.93 (0.73–1.19) |
| Use tissue/sleeve when cough/sneeze | 44.7 | 0.86 (0.67–1.11) | 0.87 (0.68–1.12) | 0.85 (0.66–1.10) | |
| Avoid touching face after touching objects | 44.5 | ||||
| Disinfect hands/things that are touched often | 55.6 | 0.85 (0.66–1.09) | 0.86 (0.67–1.10) | 0.86 (0.67–1.10) | |
| Cancel going out/traveling | 55.5 | 0.89 (0.70–1.11) | 0.96 (0.74–1.23) | 0.98 (0.76–1.26) | 0.97 (0.76–1.25) |
| Cancel planned events | 8.2 | 1.38 (0.93–2.06) | 1.33 (0.87–2.05) | 1.36 (0.88–2.09) | 1.34 (0.87–2.07) |
| Avoid crowds/try and stay home as much as possible | 64.1 | ||||
| Avoid engaging in gatherings/parties even if few people | 51.0 | 0.83 (0.66–1.05) | 0.89 (0.70–1.15) | 0.88 (0.69–1.14) | 0.87 (0.68–1.12) |
| Avoid contact with the sick/elderly | 30.4 | 0.85 (0.66–1.09) | 0.95 (0.72–1.24) | 0.95 (0.73–1.25) | 0.95 (0.72–1.25) |
| If cold symptoms avoid contacts except family members | 26.9 | 0.88 (0.68–1.14) | 1.01 (0.76–1.35) | 1.03 (0.77–1.37) | 1.02 (0.77–1.36) |
| Keep a distance of 2 m from people when outside | 30.6 | 0.80 (0.61–1.05) | 0.81 (0.62–1.07) | 0.81 (0.61–1.06) |
PR (%): Prevalence (%) of those engaging in the preventive behavior; OR: Odds ratio; CI: Confidence interval
Model 1 examined the bivariate association between binge drinking and COVID-19 preventive behaviors; Model 2 was adjusted for sex, age, education, marital status, job status, household income, family economic situation in the past year and SRH; Model 3 adjusted for the variables in Model 2 and depressive and anxiety symptoms. Model 4 adjusted for the variables in Model 3 and the total stress score. All models were adjusted for region.
*** p < .001, ** p < .01, * p < .05
Statistically significant results are shown in bold font
Sample characteristics by binge drinking (BD) status.
| Total | No BD | BD | P-value | |
|---|---|---|---|---|
| N | (%) | (%) | ||
| Sex | ||||
| Male | 704 | 59.4 | 40.6 | |
| Female | 748 | 81.3 | 18.7 | |
| Age | .001 | |||
| 18–29 | 207 | 70.5 | 29.5 | |
| 30–39 | 218 | 68.3 | 31.7 | |
| 40–49 | 254 | 62.2 | 37.8 | |
| 50–59 | 215 | 67.9 | 32.1 | |
| 60–69 | 251 | 73.7 | 26.3 | |
| ≥ 70 | 307 | 78.8 | 21.2 | |
| Education | .021 | |||
| <Higher education | 515 | 74.4 | 25.6 | |
| Higher education | 937 | 68.6 | 31.4 | |
| Marital status | .019 | |||
| Not married | 562 | 74.2 | 25.8 | |
| Married | 890 | 68.4 | 31.6 | |
| Job status | ||||
| Outside job market | 433 | 79.7 | 20.3 | |
| Employed (company etc.) | 540 | 58.5 | 41.5 | |
| Self-employed/freelance | 79 | 59.5 | 40.5 | |
| Part-time employment | 183 | 78.1 | 21.9 | |
| Non-employed | 217 | 80.6 | 19.4 | |
| Household income (Yen) | ||||
| < 4 million | 415 | 76.4 | 23.6 | |
| 4 million to < 10 million | 599 | 66.4 | 33.6 | |
| ≥ 10 million | 109 | 59.6 | 40.4 | |
| Missing data | 329 | 74.8 | 25.2 | |
| Household finances | ||||
| Unchanged | 805 | 75.2 | 24.8 | |
| Improved | 44 | 61.4 | 38.6 | |
| Worsened | 555 | 64.1 | 35.9 | |
| Missing data | 48 | 79.2 | 20.8 | |
| Self-rated health | .950 | |||
| Poor/very poor | 155 | 71.6 | 28.4 | |
| Fair | 586 | 70.3 | 29.7 | |
| Good/very good | 698 | 70.5 | 29.5 | |
| Depressive symptoms | ||||
| No | 1205 | 73.2 | 26.8 | |
| Yes | 247 | 58.3 | 41.7 | |
| Anxiety symptoms | .003 | |||
| No | 1295 | 71.9 | 28.1 | |
| Yes | 157 | 60.5 | 39.5 | |
| Perceived stress (M [SD]) | 1452 | 27.0 [8.3] | 27.6 [7.3] | .159 |
M: Mean; SD: Standard deviation
Factors associated with current binge drinking in Japan during the COVID-19 pandemic‡.
| Bivariate analysis | Multivariable analysis† | |
|---|---|---|
| OR (95%CI) | OR (95%CI) | |
| Sex (Female) | 0.34 (0.27–0.43)*** | 0.34 (0.25–0.45)*** |
| Age | ||
| ≥ 70 | Ref. | Ref. |
| 18–29 | 1.56 (1.04–2.33)* | 1.10 (0.64–1.89) |
| 30–39 | 1.72 (1.16–2.56)** | 1.01 (0.61–1.67) |
| 40–49 | 2.26 (1.56–3.29)*** | 1.41 (0.87–2.27) |
| 50–59 | 1.76 (1.18–2.62)** | 1.10 (0.67–1.79) |
| 60–69 | 1.33 (0.90–1.97) | 0.96 (0.62–1.49) |
| Education | ||
| <Higher education | 0.75 (0.59–0.96)* | 0.94 (0.72–1.22) |
| Marital status | ||
| Not married | 0.75 (0.60–0.95)* | 0.65 (0.48–0.88)** |
| Job status | ||
| Outside job market | Ref. | Ref. |
| Employed (company etc.) | 2.78 (2.08–3.71)*** | 1.38 (0.95–2.00) |
| Self-employed/freelance | 2.67 (1.61–4.43)*** | 1.36 (0.77–2.39) |
| Part-time employment | 1.10 (0.72–1.67) | 0.95 (0.61–1.49) |
| Non-employed | 0.94 (0.62–1.42) | 0.58 (0.36–0.94)* |
| Household income (Yen) | ||
| ≥ 10 million | Ref. | Ref. |
| < 4 million | 0.46 (0.29–0.71)** | 0.77 (0.46–1.29) |
| 4 million to < 10 million | 0.75 (0.49–1.13) | 0.91 (0.57–1.44) |
| Missing data | 0.50 (0.32–0.79)** | 0.82 (0.49–1.38) |
| Household finances | ||
| Unchanged | Ref. | Ref. |
| Improved | 1.91 (1.02–3.57)* | 1.57 (0.80–3.08) |
| Worsened | 1.69 (1.34–2.14)*** | 1.55 (1.19–2.03)** |
| Missing data | 0.80 (0.39–1.63) | 1.00 (0.45–2.24) |
| Self-rated health† | ||
| Good/very good | Ref. | Ref. |
| Fair | 1.01 (0.79–1.28) | 0.96 (0.73–1.26) |
| Poor/very poor | 0.95 (0.64–1.39) | 0.84 (0.54–1.32) |
| Depressive symptoms | 1.95 (1.47–2.59)*** | 2.18 (1.45–3.27)*** |
| Anxiety symptoms | 1.67 (1.19–2.35)** | 1.12 (0.69–1.80) |
| Perceived stress | 1.01 (1.00–1.02) | 0.98 (0.97–1.00) |
‡Analyses were undertaken with 1452 respondents unless otherwise stated
†Analysis was undertaken with 1439 respondents
OR: Odds ratio; CI: Confidence interval; Ref: Reference category
*** p < .001, ** p < .01, * p < .05
Multivariable analysis was adjusted for region
Factors associated with changes in the frequency of binge drinking in Japan during the COVID-19 pandemic.
| Increased binge drinking | Decreased binge drinking | |||
|---|---|---|---|---|
| Bivariate analysis‡ | Multivariable analysis† | Bivariate analysis≠ | Multivariable analysis⸸ | |
| OR (95%CI) | OR (95%CI) | OR (95%CI) | OR (95%CI) | |
| Sex (Female) | 0.72 (0.47–1.09) | 0.78 (0.47–1.29) | 0.58 (0.42–0.81)** | 0.77 (0.52–1.13) |
| Age | ||||
| ≥ 70 | Ref. | Ref. | Ref. | Ref. |
| 18–29 | 3.05 (1.53–6.07)** | 2.93 (1.17–7.31)* | 2.54 (1.41–4.59)** | 2.56 (1.19–5.51)* |
| 30–39 | 0.84 (0.34–2.03) | 0.56 (0.20–1.53) | 1.67 (0.90–3.09) | 1.12 (0.52–2.39) |
| 40–49 | 1.42 (0.67–3.00) | 1.06 (0.44–2.55) | 2.08 (1.17–3.69)* | 1.45 (0.71–2.96) |
| 50–59 | 1.88 (0.90–3.96) | 1.39 (0.58–3.35) | 2.67 (1.50–4.75)** | 2.04 (1.01–4.16)* |
| 60–69 | 1.68 (0.82–3.46) | 1.38 (0.64–3.00) | 1.56 (0.85–2.86) | 1.36 (0.70–2.64) |
| Education | ||||
| <Higher education | 0.78 (0.50–1.23) | 0.95 (0.59–1.54) | 0.61 (0.42–0.87)** | 0.78 (0.53–1.15) |
| Marital status | ||||
| Not married | 0.83 (0.53–1.28) | 0.59 (0.34–1.03) | 0.94 (0.67–1.31) | 0.84 (0.56–1.27) |
| Job status | ||||
| Outside job market | Ref. | Ref. | Ref. | Ref. |
| Employed (company etc.) | 1.55 (0.93–2.57) | 1.29 (0.69–2.44) | 3.00 (1.93–4.66)*** | 2.45 (1.44–4.17)** |
| Self-employed/freelance | 1.88 (0.81–4.33) | 1.59 (0.63–4.00) | 1.89 (0.86–4.19) | 1.84 (0.79–4.30) |
| Part-time employment | 0.92 (0.43–1.95) | 0.96 (0.44–2.11) | 1.24 (0.65–2.37) | 1.32 (0.67–2.60) |
| Non-employed | 0.62 (0.28–1.39) | 0.70 (0.28–1.75) | 1.46 (0.81–2.62) | 1.90 (0.96–3.76) |
| Household income (Yen) | ||||
| ≥ 10 million | Ref. | Ref. | Ref. | Ref. |
| < 4 million | 0.58 (0.26–1.29) | 0.85 (0.35–2.10) | 0.32 (0.18–0.57)*** | 0.55 (0.28–1.08) |
| 4 million to < 10 million | 0.78 (0.37–1.67) | 0.94 (0.42–2.12) | 0.52 (0.31–0.89)* | 0.66 (0.37–1.15) |
| Missing data | 0.56 (0.24–1.29) | 0.72 (0.28–1.82) | 0.43 (0.24–0.76)** | 0.57 (0.30–1.11) |
| Household finances | ||||
| Unchanged | Ref. | Ref. | Ref. | Ref. |
| Improved | 1.93 (0.65–5.69) | 1.34 (0.43–4.17) | 0.85 (0.29–2.43) | 0.50 (0.17–1.49) |
| Worsened | 1.94 (1.25–3.01)** | 1.69 (1.05–2.70)* | 1.18 (0.84–1.66) | 1.12 (0.78–1.63) |
| Missing data | 1.34 (0.40–4.51) | 1.35 (0.36–5.03) | 1.17 (0.48–2.84) | 1.48 (0.56–3.88) |
| Self-rated health | ||||
| Good/very good | Ref.† | Ref. | Ref.⸸ | Ref. |
| Fair | 0.64 (0.40–1.02) | 0.58 (0.36–0.96)* | 0.53 (0.37–0.75)*** | 0.47 (0.32–0.69)*** |
| Poor/very poor | 0.86 (0.44–1.70) | 0.71 (0.33–1.49) | 0.43 (0.23–0.83)* | 0.41 (0.20–0.82)* |
| Depressive symptoms | 1.92 (1.19–3.10)** | 1.99 (1.02–3.89)* | 0.94 (0.60–1.47) | 0.87 (0.47–1.60) |
| Anxiety symptoms | 1.60 (0.89–2.86) | 0.87 (0.40–1.92) | 0.97 (0.57–1.65) | 0.87 (0.43–1.79) |
| Perceived stress | 1.01 (0.98–1.04) | 1.00 (0.96–1.03) | 1.01 (0.99–1.03) | 1.01 (0.99–1.04) |
‡Analyses were undertaken with 1285 respondents unless otherwise stated
†Analysis was undertaken with 1273 respondents
≠ Analyses were undertaken with 1357 respondents unless otherwise stated
⸸ Analyses undertaken with 1345 respondents
OR: Odds ratio; CI: Confidence interval; Ref: Reference category
*** p < .001, ** p < .01, * p < .05
Multivariable analyses were adjusted for region