Predicting mental and social health based on personality traits in people recovering ‎from covid-19 disease

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

The current study aimed to predict mental and social health based on personality traits in people ‎recovering from the covid-19 disease‎‏.‏ The research method was descriptive correlational and statistical population including all rescued people from Covid-19 disease in Tehran hospitals (Masih Daneshvari, Imam Khomeini, Martyrs of Yaftabad, Sina, Shariati, Taleghani, Hazrat Rasool Akram, Haft Tir) Between July and September 2021, four to six months had passed since their discharge from the hospital, from which 150 people were selected by purposive sampling. The research instruments were NEO Personality Traits Questionnaire (NEO), Keys Social Health Questionnaire (KSWBQ), and Goldberg Mental Health Questionnaire (GHQ). The collected data were analyzed using stepwise multiple regression. The results showed that the personality traits of extraversion, agreement, openness, and responsibility have a negative and significant relationship with the mental health of people recovering from covid-19 disease (P <0.01). Also, the personality traits of extroversion, agreement, openness, and responsibility have a positive and significant relationship with the social health of people recovering from covid-19 disease (P <0.01). Other results showed that extraversion, neuroticism, and openness predicted 31.9% of the mental health of people recovering from covid-19 disease (P <0.01), and the scale of openness, agreement, Extraversion, and responsibility predicted 39.3% of the social health of people recovering from covid-19 disease (P <0.01). In general, the results of the current study emphasize the importance of personality traits in predicting the mental and social health of patients recovering from the covid-19 disease.

Language:
Persian
Published:
Rooyesh-e-Ravanshenasi, Volume:11 Issue: 4, 2022
Pages:
109 to 120
magiran.com/p2464684  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!