scholarly journals Post-Traumatic Growth of Nurses Who Faced the COVID-19 Epidemic and Its Correlation With Professional Self-Identity and Social Support

2022 ◽  
Vol 12 ◽  
Author(s):  
Yuanyuan Mo ◽  
Pinyue Tao ◽  
Guiying Liu ◽  
Lin Chen ◽  
Gaopeng Li ◽  
...  

Objective:To investigate post-traumatic growth (PTG) and analyze its correlation with professional self-identity and social support in Chinese nurses who faced the coronavirus disease 2019 (COVID-19) epidemic.Methods:A cross-sectional descriptive design was used in this study. An online questionnaire was completed by 266 nurses who faced the COVID-19 emergency in Hubei Province, China. The Post-traumatic Growth Inventory (PTGI), Professional Self-identity Scale, and Perceived Social Support Scale were used to assess the level of PTG, professional self-identity, and social support. Descriptive, univariate analysis and multiple regression analyses were used in exploring related influencing factors.Results:Participants' mean scores were 96.26 (SD = 21.57) for PTG, 115.30 (SD = 20.82) for professional self-identification, and 66.27 (SD = 12.90) for social support. Multiple regression analysis showed that nurses from other provinces moving to support Hubei Province, professional self-identity, and social support were the main factors affecting nurse stress (p = 0.014, < 0.001, and 0.017, respectively). Professional self-identity and social support were positively correlated with PTG (r = 0.720 and 0.620, respectively).Conclusions:There was a phenomenon of PTG when the nurses faced COVID-19 in Hubei Province. Providing an active coping style helps to improve the level of PTG.

Background: Diagnosis of cancer is a traumatic experience. But cancer patients may have some positive experiences that are called post traumatic growth (PTG). The aim of this study was to determine the rate of post-traumatic growth in cancer patients and its relationship with social support and hope. Materials and Methods: The present descriptive correlational study was conducted during May-August 2018 in Shiraz, Iran. Population included of 112 all adult patients with gastrointestinal cancer who referred to medical centers affiliated to Shiraz University of Medical Sciences. Data collection instruments included a demographic information form, post-traumatic growth inventory, social support appraisals scale, and Miller hope scale. The data were analyzed by SPSS software (version 23.0). P<0.05 was considered statistically significant. Analytical data were analyzed using the Pearson correlation coefficient, sample t test, one-way analysis of variance independent and multiple regression analysis. In the case of non-normal distribution, the equivalent nonparametric analysis was used. Results: The mean score (SD (for PTG was 81.37)15.64(which is considered as high level. The mean score (SD) for hope, and SS was 195.20 (24.92), and 97.39 (11.37), respectively. A significant positive correlation was found between PTG and both hope (r=0.687, P˂0.05) and SS (r=0.636, P˂0.05). The results of the multiple regression analysis showed a significant relationship between PTG, SS, and hope (P˂0.05). According to multiple regression analysis hope had a higher effect on PTG (ẞ=0.613) compared to SS (ẞ=0.192). Conclusion: The results showed a good level of PTG among the cancer patients. Regarding the association between PTG with the perceived SS and hope, health care providers can help their patient by hope instillation and providing social support.


2021 ◽  
Author(s):  
Kentaro Matsui ◽  
Takuya Yoshiike ◽  
Ayumi Tsuru ◽  
Rei Otsuki ◽  
Kentaro Nagao ◽  
...  

BACKGROUND There are numerous reports on the psychological burden of medical workers after the COVID-19 outbreak; however, no study has examined the influence of developmental characteristics on the mental health of medical workers. OBJECTIVE The objective of this study was to examine whether the developmental characteristics of medical workers are associated with anxiety and depression after the COVID-19 outbreak. METHODS An online questionnaire survey was conducted in October 2020. The questionnaire included items on sociodemographic data, changes in their life after the COVID-19 outbreak, and symptoms of depression, anxiety, attention deficit/hyperactivity disorder (ADHD) traits, and autism spectrum disorder traits. We performed hierarchical multiple regression analyses. RESULTS The data of 640 medical workers were analyzed. Increases in physical and psychological burden were observed in 49.1% and 78.3% of the subjects, respectively. The results of a multiple regression analysis showed that ADHD traits were significantly associated with both depression (β=0.390, P<.001) and anxiety (β=0.426, P<.001). Autistic traits were significantly associated with depression (β=0.069, P<.05) but not anxiety. Increased physical and psychological burden, being female, medical workers other than physicians and nurses, fear of COVID-19, and experience of discrimination were also significantly associated with both depression and anxiety. CONCLUSIONS Globally, the burden on medical workers increased. This study suggested that medical workers with higher ADHD traits may need special attention during the COVID-19 pandemic.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yongjie Zhou ◽  
Hui Shi ◽  
Zhengkui Liu ◽  
Songxu Peng ◽  
Ruoxi Wang ◽  
...  

Abstract Coronavirus disease 2019 (COVID-19) is rapidly spreading worldwide, with a staggering number of cases and deaths. However, available data on the psychological impacts of COVID-19 on pregnant women are limited. The purposes of this study were to assess the prevalence of psychiatric symptoms among pregnant women, and to compare them with non-pregnant women. From February 28 to March 12, 2020, a cross-sectional study of pregnant and non-pregnant women was performed in China. The online questionnaire was used to collect information of participants. The mental health status was assessed by patient health questionnaire, generalized anxiety disorder scale, insomnia severity index, somatization subscale of the symptom checklist 90, and post-traumatic stress disorder (PTSD) checklist-5. Totally, 859 respondents were enrolled, including 544 pregnant women and 315 non-pregnant women. In this study, 5.3%, 6.8%, 2.4%, 2.6%, and 0.9% of pregnant women were identified to have symptoms of depression, anxiety, physical discomfort, insomnia, and PTSD, respectively. However, the corresponding prevalence rates among non-pregnant women were 17.5%, 17.5%, 2.5%, 5.4%, 5.7%, respectively. After adjusting for other covariates, we observed that pregnancy was associated a reduced risk of symptoms of depression (OR = 0.23; 95% CI: 0.12–0.45), anxiety (OR = 0.26; 95% CI: 0.16–0.42), insomnia (OR = 0.19; 95% CI: 0.06–0.58), and PTSD (OR = 0.15; 95% CI: 0.04–0.53) during the COVID-19 epidemic. Our results indicate that during the COVID-19 epidemic in China, pregnant women have an advantage of facing mental problems caused by COVID-19, showing fewer depression, anxiety, insomnia, and PTSD symptoms than non-pregnant women.


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