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1.
Journal of family issues ; 44(1):91-111, 2023.
Article in English | EuropePMC | ID: covidwho-2168645

ABSTRACT

To comprehensively understand the Chinese family relationships (i.e., marital relationship, parent–child relationship, sibling relationship, and grandparent–grandchild relationship) during the COVID-19 pandemic, this study investigated the changes of family relationships and the individual differences related to knowledge of the COVID-19, personality traits (i.e., neuroticism and optimism), and emotional characteristics (i.e., emotion regulation and negative emotional reactions). From March 1 to April 5, 2020, 8821 participants were involved, including 3995 teenagers, 1146 unmarried young adults, 3571 married adults, and 109 grandparents. Results revealed a double-edged pattern that people experienced both positive changes and negative changes during the pandemic. Teenagers reported significant negative changes in the relationships with their parents. Peoples' knowledge of the COVID-19, neuroticism, optimism, emotion regulation, and negative emotional reactions were in varying extents to which accounted for the individual differences in the changes of family relationships. These findings help recognize the overall Chinese family relationships during the hard period.

2.
J Fam Issues ; 44(1): 91-111, 2023 Jan.
Article in English | MEDLINE | ID: covidwho-1673613

ABSTRACT

To comprehensively understand the Chinese family relationships (i.e., marital relationship, parent-child relationship, sibling relationship, and grandparent-grandchild relationship) during the COVID-19 pandemic, this study investigated the changes of family relationships and the individual differences related to knowledge of the COVID-19, personality traits (i.e., neuroticism and optimism), and emotional characteristics (i.e., emotion regulation and negative emotional reactions). From March 1 to April 5, 2020, 8821 participants were involved, including 3995 teenagers, 1146 unmarried young adults, 3571 married adults, and 109 grandparents. Results revealed a double-edged pattern that people experienced both positive changes and negative changes during the pandemic. Teenagers reported significant negative changes in the relationships with their parents. Peoples' knowledge of the COVID-19, neuroticism, optimism, emotion regulation, and negative emotional reactions were in varying extents to which accounted for the individual differences in the changes of family relationships. These findings help recognize the overall Chinese family relationships during the hard period.

3.
Appl Psychol Health Well Being ; 12(4): 967-982, 2020 12.
Article in English | MEDLINE | ID: covidwho-814202

ABSTRACT

BACKGROUND: A large number of the population experienced panic during the pandemic of the coronavirus disease 2019 (COVID-19) in China. The current study explored the trajectory of panic and its associated factors to develop promising strategies for controlling the global spread of COVID-19 and improving the mental health emergency management. METHODS: A total of 812 unmarried adults (aged from 18 to 42 years, M = 23.3, SD = 3.45) from all over China participated online in our investigation. A Growth Mixture Model (GMM) was developed and analysed. RESULTS: Three classes of trajectories for panic were identified: the "continuous decline group (CDG)", the "continuous low group (CLG)," and the "continuous high group (CHG)". With reference to the CDG, people in the CHG were more sensitive to social factors. With reference to the CDG, people in the CLG were more likely to possess some of the following traits: being men, in Hubei Province (center of the pandemic), with a lower income, and less sensitive towards social factors and individual factors. With reference to the CLG, people in the CHG were more likely to be women, located outside of Hubei Province, and more sensitive to social factors, family factors, and individual factors. CONCLUSION: Social factors, family factors, and individual factors predicted the different trajectories of panic.


Subject(s)
Anxiety/epidemiology , Panic/classification , Single Person/statistics & numerical data , Socioeconomic Factors , Adolescent , Adult , China/epidemiology , Female , Humans , Male , Sex Factors , Social Factors , Young Adult
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