Panel Data Analysis of Socioeconomic Factors and COVID-19’s Impact on Drinking Habits: Evidence from a Japanese Survey
Year: 2025
Type: article
Study design: Observational Study
Abstract: Alcohol use is closely related to health, emotional state, and social behavior. However, no clear consensus exists on how socioeconomic factors influence drinking habits or how the COVID-19 pandemic affected alcohol use. This study examines these relationships in Japan using panel data from a questionnaire survey (2014-2022), consisting of 10,836 responses provided by 1289 respondents, and logistic regression analysis. The results revealed that males, individuals aged 40-69, cigarette smokers, and those who exercise regularly are more likely to drink alcohol, whereas those working at least 2 days per week, earning higher incomes, and in good health are less likely to drink alcohol. The impact of COVID-19 on drinking behavior varied by region, with significant effects observed in specific regions. Additionally, an identified decline in alcohol use since 2016 highlights rising health awareness and shifting values, particularly among younger generations. These findings underscore the strong association between drinking behavior and socioeconomic attributes and emphasize the need to consider regional differences in policy and cultural influences. Overall, this study provides key insights for future research and public health policies on alcohol use in Japan.
Authors: Makoto Nakakita, Naoki Kubota, Tomoki Toyabe, Sakae Oya, Teruo Nakatsuma
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,016
Awards: Improvement of statistical estimation accuracy and development of algorithms for improving computational efficiency in numerical statistical analysis, Modeling of fluctuations in crypto asset prices and its application to portfolio optimization and risk management, Development of an ultra-high-dimensional asset management model that incorporates risk relationships for all equities in the market, 生存時間分析における半教師付き学習の推定と活用
OpenAlex ID: W4409706916
