| Literature DB >> 35074636 |
Priscilla Martinez1, Katherine J Karriker-Jaffe2, Yu Ye3, Deidre Patterson3, Thomas K Greenfield3, Nina Mulia3, William C Kerr3.
Abstract
BACKGROUND: Studies show drinking to cope and mental health problems have increased during the COVID-19 pandemic, however, their samples have been limited by convenience sampling or lack of a pre-pandemic measure. We examined the early impact of the COVID-19 pandemic on mental health, drinking to cope and their association using a probability-based sample of the US adult population.Entities:
Keywords: Adults; Alcohol; COVID-19; Drinking motives; Mental health
Mesh:
Year: 2022 PMID: 35074636 PMCID: PMC8760097 DOI: 10.1016/j.addbeh.2022.107247
Source DB: PubMed Journal: Addict Behav ISSN: 0306-4603 Impact factor: 3.913
Mental health and socio-demographic measures comparing the N14 respondents interviewed during 02/01–03/16/2020 (pre-COVID period) and during 03/17–04/21/2020 (early COVID period).
| Total | Women | Men | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Pre-COVID | Early COVID | p | Pre-COVID | Early COVID | p | Pre-COVID | Early COVID | p | |
| Drinking helps forget worries | |||||||||
| Strongly agree | 1.7% | 2.3% | 0.055 | 2.0% | 2.3% | 0.086 | 1.5% | 2.3% | 0.287 |
| Agree | 10.5% | 14.0% | 11.8% | 13.3% | 9.2% | 14.7% | |||
| Disagree | 35.6% | 40.7% | 30.5% | 39.7% | 40.5% | 41.8% | |||
| Strongly disagree | 52.2% | 43.0% | 55.7% | 44.7% | 48.8% | 41.1% | |||
| Drink when nervous | |||||||||
| Strongly agree | 1.6% | 1.5% | 0.248 | 1.6% | 2.0% | 0.239 | 1.6% | 0.9% | 0.646 |
| Agree | 13.2% | 12.1% | 12.3% | 9.6% | 14.1% | 14.8% | |||
| Disagree | 34.6% | 41.5% | 33.5% | 41.7% | 35.7% | 41.3% | |||
| Strongly disagree | 50.5% | 44.9% | 52.6% | 46.7% | 48.6% | 43.0% | |||
| Moderate/severe symptoms | 11.3% | 13.3% | 0.393 | 9.8% | 14.8% | 0.037 | 12.9% | 11.6% | 0.040 |
| Mild symptoms | 27.4% | 29.2% | 29.9% | 23.6% | 24.7% | 35.5% | |||
| No symptoms | 61.3% | 57.6% | 60.3% | 61.6% | 62.4% | 52.9% | |||
| Moderate/severe symptoms | 10.5% | 14.7% | 0.026 | 10.9% | 15.8% | 0.072 | 10.1% | 13.4% | 0.276 |
| Mild symptoms | 28.6% | 31.3% | 31.1% | 32.8% | 25.8% | 29.6% | |||
| No symptoms | 60.9% | 54.0% | 58.0% | 51.4% | 64.1% | 57.0% | |||
| Sex male | 48.0% | 46.8% | 0.659 | – | – | – | – | ||
| Age: 18–29 | 18.6% | 19.7% | 0.838 | 18.6% | 19.0% | 0.775 | 18.6% | 20.5% | 0.186 |
| 30–39 | 19.6% | 20.1% | 17.2% | 18.8% | 22.2% | 21.6% | |||
| 40–49 | 15.3% | 16.9% | 17.5% | 14.3% | 12.9% | 19.9% | |||
| 50–59 | 19.6% | 18.0% | 19.3% | 20.6% | 19.9% | 15.0% | |||
| 60+ | 26.9% | 25.3% | 27.4% | 27.4% | 26.3% | 23.0% | |||
| Race/ethnicity: White | 64.5% | 60.5% | 0.164 | 66.3% | 58.5% | 0.072 | 62.6% | 62.7% | 0.630 |
| Black | 11.9% | 16.0% | 12.3% | 17.0% | 11.5% | 14.8% | |||
| Hispanics | 15.7% | 15.0% | 14.5% | 14.9% | 17.1% | 15.1% | |||
| Others | 7.8% | 8.5% | 6.9% | 9.5% | 8.8% | 7.4% | |||
| Education: < HS grad | 5.3% | 5.0% | 0.832 | 6.4% | 4.9% | 0.799 | 4.2% | 5.1% | 0.829 |
| HS grad | 25.8% | 27.3% | 25.4% | 26.2% | 26.3% | 28.5% | |||
| Some college | 37.6% | 38.6% | 38.0% | 39.7% | 37.3% | 37.4% | |||
| College grad | 31.2% | 29.1% | 30.3% | 29.2% | 32.2% | 29.0% | |||
| Family income: ≤$20,000 | 17.3% | 20.8% | 0.641 | 20.2% | 23.1% | 0.796 | 14.1% | 18.1% | 0.524 |
| $20,001–40,000 | 19.2% | 19.0% | 21.2% | 18.3% | 17.0% | 19.7% | |||
| $40,001–60,000 | 23.1% | 21.7% | 21.5% | 22.6% | 24.9% | 20.6% | |||
| $60,001–100,000 | 19.5% | 19.7% | 19.7% | 18.6% | 19.3% | 20.9% | |||
| >$100,000 | 20.8% | 18.9% | 17.3% | 17.5% | 24.8% | 20.7% | |||
| Marital status: married | 57.4% | 54.7% | 0.611 | 57.2% | 53.8% | 0.600 | 57.6% | 55.7% | 0.916 |
| Never married | 21.9% | 22.7% | 17.9% | 18.6% | 26.2% | 27.3% | |||
| Others | 20.7% | 22.6% | 24.9% | 27.5% | 16.2% | 16.9% | |||
| Employment status: FT employed | 47.3% | 45.8% | 0.862 | 41.1% | 38.7% | 0.919 | 54.0% | 53.7% | 0.932 |
| PT employed | 11.3% | 12.0% | 13.9% | 14.1% | 8.4% | 9.5% | |||
| Unemployed | 5.0% | 5.9% | 4.3% | 5.3% | 5.7% | 6.5% | |||
| Retired | 16.9% | 15.6% | 16.9% | 16.8% | 16.8% | 14.3% | |||
| Others | 19.6% | 20.8% | 23.8% | 25.0% | 15.1% | 16.0% | |||
| Having children age <18 | 29.2% | 36.1% | 0.012 | 33.1% | 37.0% | 0.253 | 25.0% | 35.0% | 0.020 |
Chi-square test.
Among current drinkers only.
Adjusted ordered logistic regression estimates and 95% confidence intervals (CIs) predicting agreement with drinking helps me to forget my worries for the total sample and by sex, controlling for socio-demographic factors.
| Total | Women | Men | ||||
|---|---|---|---|---|---|---|
| OR | 95% CIs | OR | 95% CIs | OR | 95% CIs | |
| Early COVID period (vs. pre-COVID) | 1.48 | (1.03, 2.12)* | 1.44 | (1.02, 2.04)* | 1.49 | (0.93, 2.38)ⱡ |
| No symptoms | ref | ref | ref | |||
| Mild symptoms | 1.61 | (1.01, 2.57)* | 1.46 | (0.92, 2.30) | 1.21 | (0.71, 2.07) |
| Moderate/severe symptoms | 2.94 | (1.43, 6.04)* | 2.45 | (1.20, 4.99)* | 2.18 | (0.88, 5.39)ⱡ |
| No symptoms | ref | ref | ref | |||
| Mild symptoms | 1.56 | (0.98, 2.47)ⱡ | 1.62 | (1.02, 2.58)* | 1.32 | (0.79, 2.23) |
| Moderate/severe symptoms | 1.16 | (0.59, 2.28) | 1.27 | (0.65, 2.48) | 1.33 | (0.43, 4.16) |
Note: Models controlled for age, race/ethnicity, level of education, income, marital status, employment, having children under 18 in the household, and model for the total sample also included interactions for sex and each of the following: COVID period, depression symptoms and anxiety symptoms. ORs and Cis for the non-significant interaction terms are presented in the Results section.
*p < 0.05, ⱡp < 0.1.