Unique ID issued by UMIN | UMIN000044486 |
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Receipt number | R000050823 |
Scientific Title | Changes in Alcohol Consumption Among a Population Who Underwent Medical Checkups During the First Wave of the Coronavirus Disease 2019 Pandemic in Japan: A Single-Center Retrospective Study |
Date of disclosure of the study information | 2021/06/09 |
Last modified on | 2023/03/12 17:47:57 |
Changes in Alcohol Consumption Among a Population Who Underwent Medical Checkups During the First Wave of the COVID-19 Pandemic in Japan: A Single-Center Retrospective Study
Changes in Alcohol Consumption Among a Population Who Underwent Medical Checkups During the First Wave of the COVID-19 Pandemic in Japan: A Single-Center Retrospective Study
Changes in Alcohol Consumption Among a Population Who Underwent Medical Checkups During the First Wave of the Coronavirus Disease 2019 Pandemic in Japan: A Single-Center Retrospective Study
Changes in Alcohol Consumption Among a Population Who Underwent Medical Checkups During the First Wave of the Coronavirus Disease 2019 Pandemic in Japan: A Single-Center Retrospective Study
Japan |
Not applicable
Not applicable | Adult |
Others
NO
Movement restrictions during the coronavirus disease 2019 (COVID-19) pandemic have inflicted stress and affected drinking behavior. However, limited information is available on the changes in alcohol use among the Japanese population. The present study investigated changes in alcohol consumption during the first wave of the COVID-19 pandemic in Japan.
Others
Not applicable
Changes in alcohol consumption before (April 1, 2019 to December 31, 2019) and during the COVID-19 pandemic (April 1, 2020 to May 31, 2020)
Risk factors associated with increased drinking
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Subjects who underwent medical checkups at Fuyoukai Murakami Hospital, Aomori city, Japan before (from April 1, 2019 to December 31, 2019) and during the COVID-19 pandemic (from April 1, 2020 to May 31, 2020)
None
350
1st name | Yusaku |
Middle name | |
Last name | Kajihara |
Fuyoukai Murakami Hospital
Department of Gastroenterology
030-0843
3-3-14 Hamada, Aomori, Japan
+81-17-729-8888
y_kaji2012@yahoo.co.jp
1st name | Yusaku |
Middle name | |
Last name | Kajihara |
Fuyoukai Murakami Hospital
Department of Gastroenterology
030-0843
3-3-14 Hamada, Aomori, Japan
+81-17-729-8888
y_kaji2012@yahoo.co.jp
Fuyoukai Murakami Hospital
Fuyoukai Murakami Hospital
Self funding
Fuyoukai Murakami Hospital
3-3-14 Hamada, Aomori, Japan
+81-17-729-8888
y_kaji2012@yahoo.co.jp
NO
2021 | Year | 06 | Month | 09 | Day |
https://www.ina-jghe.com/index.php/jghe/article/view/790/663
Published
http://ina-jghe.com/index.php/jghe/article/view/790
371
In total, 25.1% subjects increased their alcohol intake and 24.5% subjects reduced their alcohol intake.
Multivariate analysis identified only age (49 years or less) as a risk factor for increased drinking (adjusted odds ratio, 2.20; 95% confidence interval, 1.22-3.99; p = 0.009).
2021 | Year | 06 | Month | 09 | Day |
2022 | Year | 01 | Month | 05 | Day |
The median age of the subjects was 46 years (range, from 20 to 74 years), and 81.7% (303/371) subjects were men.
This retrospective study included 371 subjects aged 20 years or more who underwent medical checkups at Fuyoukai Murakami Hospital, Aomori city, Japan before (from April 1, 2019 to December 31, 2019) and during the COVID-19 pandemic (from April 1, 2020 to May 31, 2020).
None
1) Changes in alcohol consumption
2) Risk factors associated with increased drinking
Completed
2021 | Year | 02 | Month | 10 | Day |
2021 | Year | 03 | Month | 01 | Day |
2021 | Year | 03 | Month | 01 | Day |
2021 | Year | 04 | Month | 14 | Day |
Methods:
The following characteristics extracted from medical records were analyzed: age, sex, drinking behavior, instruction for alcohol restriction, medication for lifestyle-related diseases (e.g., hypertension, dyslipidemia, type 2 diabetes mellitus, and hyperuricemia), mental illness, occupation, and tobacco habit. Changes in alcohol consumption (grams of ethanol per day) were investigated and divided into three categories: increased drinking, no change, and decreased drinking.
In addition, a logistic regression model was used to identify the risk factors associated with increased drinking, and seven variables were sequentially introduced into the model-age (49 years or less), male sex, prior instructions for alcohol restriction, medication for lifestyle-related diseases, depression or insomnia, essential workers, and smoking.
Statistical analysis was performed using EZR (easy R, version 1.54), and p < 0.05 was considered statistically significant.
2021 | Year | 06 | Month | 09 | Day |
2023 | Year | 03 | Month | 12 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000050823
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