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Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities
Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities
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Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities
Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities

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Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities
Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities
Journal Article

Assessing the impact of COVID-19 on middle-aged and older females in China: a comparative study of urban-rural disparities

2025
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Overview
Background The impact of COVID-19 has been long-lasting and severe. Middle-aged and older females, as a vulnerable group, need special attention. China is a typical urban-rural dualistic society, and the impact of the urban-rural gap on middle-aged and older females is unknown. The purpose of this study was to explore the influence of COVID-19 on middle-aged and older females in Chinese urban and rural areas. Methods This study used CHARLS (China Health and Retirement Longitudinal Study) database. A total of 10,063 participants were included in this study (3,680 in urban and 6,383 in rural). The chi-square test and t-test were used to analyze differences between urban and rural participants, and binary logistic regression (forward: conditional) was used to analyze differences in the factors influencing the two groups in terms of mask wearing. Results During the epidemic, there were significant differences between urban and rural middle-aged and older females in terms of demographic characteristics, prevention knowledge, attitude, identification, isolation, personal activities, mental health, containment measures in residential areas and individual preventive behavior. Rural middle-aged and older females had poorer preventive behavior. Age, marital status, preventive knowledge, calling and messaging, internet contact, containment measures in residential areas were the common influencing factors affecting mask wearing behavior of the participants. The mask-wearing behavior of urban participants was also influenced by the attitude towards government’s measures, COVID-19 test and fear. Conclusions Middle-aged and older females in Chinese urban and rural areas faced different situations during the epidemic and required targeted measures.