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코로나바이러스감염증-19 상황에서의 일상생활 변화와 관련된 요인

Factors Related to Changes of Daily Life during COVID-19

윤필한|박상신|민경진
한국보건정보통계학회 (The Korean Society of Health informatics statistics)|2022.11|보건정보통계학회지 (Journal of Health Informatics and Statistics)|제47권 제4호|pp. 297-306|DOI 10.21032/jhis.2022.47.4.297

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참고문헌

키워드

COVID-19Health behaviorCommunity Health SurveyHealth statusDaily life

초록

Objectives: This study analyzed and identified factors related to the changes of the daily life, such as the health behavior, the number of meetings, and the use of public transportation during the COVID-19. Methods: A total of 133,707 people out of 229,269 adults aged 19 years or older in Community Health Survey 2020 were analyzed in terms of the daily life changes, including the demographic characteristics, health status, health behavior, mental health, and chronic disease. The multi-variable linear regression analysis was conducted with the considerable variables extracted from the stepwise selection. Results: It was found that age, sex, household type, job, household income, education level, subjective health status, breakfast, stress level, depression, hypertension, and diabetes are related to the changes of the daily life during the COVID-19. In particular, the age of 30s and 40s, women, second generation, white-collar worker, high income, well educated, worse subjective health status, skipping breakfast, high stress and depression fac- tors were closely related to the negative changes of daily life during the COVID-19. Conclusions: The negative changes of daily life during the COVID-19 were more likely to occur in the group of the age of 30s and 40s, women, with high socioeconomic status, with worse health status, with worse health behaviors and with worse mental health.

Abstract

Objectives: This study analyzed and identified factors related to the changes of the daily life, such as the health behavior, the number of meetings, and the use of public transportation during the COVID-19. Methods: A total of 133,707 people out of 229,269 adults aged 19 years or older in Community Health Survey 2020 were analyzed in terms of the daily life changes, including the demographic characteristics, health status, health behavior, mental health, and chronic disease. The multi-variable linear regression analysis was conducted with the considerable variables extracted from the stepwise selection. Results: It was found that age, sex, household type, job, household income, education level, subjective health status, breakfast, stress level, depression, hypertension, and diabetes are related to the changes of the daily life during the COVID-19. In particular, the age of 30s and 40s, women, second generation, white-collar worker, high income, well educated, worse subjective health status, skipping breakfast, high stress and depression fac- tors were closely related to the negative changes of daily life during the COVID-19. Conclusions: The negative changes of daily life during the COVID-19 were more likely to occur in the group of the age of 30s and 40s, women, with high socioeconomic status, with worse health status, with worse health behaviors and with worse mental health.

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