The relationship between self-isolation during lockdown and individuals' depressive symptoms: Humor as a moderator

التفاصيل البيبلوغرافية
العنوان: The relationship between self-isolation during lockdown and individuals' depressive symptoms: Humor as a moderator
المؤلفون: Ryota Tsukawaki, Tomoya Imura
المصدر: Social Behavior and Personality: an international journal. 49:1-11
بيانات النشر: Scientific Journal Publishers Ltd, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Social Psychology, Isolation (psychology), sense organs, Humor styles, Center for Epidemiologic Studies Depression Scale, Moderation, Psychology, Association (psychology), Affect (psychology), Mental health, Depression (differential diagnoses), Clinical psychology
الوصف: The isolation that people of many nations have experienced during lockdown periods to prevent the spread of COVID-19 may adversely affect their mental health. In this study we examined whether humor moderates the relationship between extent of self-isolation and the depressive symptoms that people experience when locked down. Participants were 400 Japanese adults aged between 21 and 69 years, who completed the Humor Styles Questionnaire and the Center for Epidemiologic Studies Depression Scale in addition to responding to a question to establish the extent of their self-isolation. Hierarchical multiple regression analysis results indicate that affiliative humor moderated the relationship between the degree of self-isolation and depression, and attenuated their association. In contrast, aggressive humor strengthened their association. Our study findings suggest that affiliative humor served to safeguard people from suffering from depression induced by self-isolation during lockdown, whereas aggressive humor increased the likelihood of people becoming depressed during lockdown.
تدمد: 0301-2212
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::7dcbb1efb18b647b88ecdd3215784fa1Test
https://doi.org/10.2224/sbp.10248Test
حقوق: OPEN
رقم الانضمام: edsair.doi...........7dcbb1efb18b647b88ecdd3215784fa1
قاعدة البيانات: OpenAIRE