Non-suicidal self-injury (NSSI) in adolescents hospitalized with psychiatric disorders continues to increase after the outbreak of COVID-19. This study aimed to explore the relationship between the pandemic and NSSI among adolescents and whether the composition of psychosocial factors related to NSSI has changed during the pandemic. Through the retrospective analysis of medical records retrieved from the electronic system of the psychiatric hospital located in Chengdu from January 2016 to March 2021, 609 medical records of adolescents were obtained. The main potential psychosocial factors were determined by deductive content analysis. Among the 609 adolescents, 420 subjects had engaged in NSSI, while 189 did not. We found that the percentage of adolescents who had engaged in NSSI in 2016 was only 29.2%, reaching 34.5% in 2017, 45.7% in 2018, 61.3% in 2019, 92.5% in 2020, and 95.9% in 2021. In the binary logistic regression model, female sex (OR = 0.073, 95% CI: 0.028–0.186), older age (OR = 1.234, 95% CI: 1.030–1.478), having a single parent (OR = 7.865, 95% CI: 3.997–15.476), having experienced trauma (OR = 2.192, 95% CI: 1.032–4.654), having experienced social isolation from peers (OR = 8.139, 95% CI: 4.037–16.408), having experienced body-focused bullying (OR = 3.078, 95% CI: 1.295–7.318), overuse of a mobile phone in the parents' opinions (OR = 4.354, 95% CI: 1.380–13.738), having attempted suicide (OR = 9.120, 95% CI: 4.492–18.512), and during the pandemic (time point is January 30, 2020) (OR = 5.399, 95% CI: 1.679–17.357) were the factors that were significantly associated with NSSI. When comparing the differences in psychosocial factors between the pre-pandemic and the during-pandemic groups, the results showed that the family constitution, parent–child relationships, mobile phone overuse, and stressful learning were important factors. Tailored interventions geared towards changed psychosocial factors should be formulated.
Background As the outbreak of COVID-19, traditional face-to-face psychological intervention are difficult to achieve, so hotline becomes available and recommended strategies. The callers’ characteristic could help us to study their experiences of emotional distress, as well as the reasons for calling during the pandemic, which can be used to inform future service design and delivery. Methods The information of 1558 callers called our hospital’ s hotline for help from February 3, 2020, to March 16, 2020 were collected in the form of Tick-box and Free text, and the inductive content analysis was undertaken focusing on the reasons for caller engagement. Results It was indicated that more than half of the callers are female (59.7%), mostly between the age of 18–59 (76.5%). The average age was 37.13 ± 13.76 years old. The average duration of a call to the hotline was 10.03 ± 9.84 min. The most frequent description emotional state were anxious (45.1%) and calm (30.3%), with the sub-sequence of scared (18.2%), sad (11.9%), and angry (6.9%). All callers displayed a wide range of reasons for calling, with needing support around their emotion (64.6%), seeking practical help (44.0%), and sleep problems (20.3%) constituting the majority of calls. Among the subthemes, 314 callers thought the epidemic has made them upset, 198 asked questions about the epidemic, and 119 reported their life routines were disrupted. The prevalence of key reasons does not appear to differ over time. Through their feedback, 79.1% agreed that they felt emotionally better after calling, and 95.0% agreed that hotline had helped them. Conclusions During the epidemic, the most concern of the public is still related to epidemics and its adverse effects. Fortunately, the hotline can be an active and effective rescue measure after an emergency happened.
Background:The objective of this study isto explore the mental health of healthcare workers went to Hubei for assistance during the outbreak of COVID-19.A total of 210 medical staff who traveled to Hubei Province for assistance in the first time completed the online questionnaire, including the Sleep Self-Assessment Scale (SRSS), Generalized Anxiety Scale (GAD-7), and 9-item patient health questionnaire (PHQ-9). Results:The average score of the SRSS of all the subjects(25.13±6.41)was significantly higher than the national norm(22.14±5.48)(p <0.001). The average score of the GAD-7 of all subjects(12.37±4.89)was at the level of moderate anxiety, while the average score of the PHQ-9 of them (8.90±5.42)was at the level of mild depression. The scores of SRSS and GAD-7 of all males(26.60±6.38, 14.45±3.80)were significantly higher than those of females(23.67±6.12, 10.28±4.99)(p <0.01).Conclusions: In this epidemic, the sleep quality of frontline medical staff in Hubei Province is poor, and the symptoms of anxiety and depression are common, while the anxiety is more prominent. Among them, the sleep and anxiety symptoms of males are more obvious than that of women, suggesting that we should pay attention to the psychological support of male doctors and nurses and provide them with appropriate psychological decompression training.
Background This study aimed to determine the factors that were related to the psychological health status of healthcare workers aid for Hubei after the COVID-19 outbreak. Methods A total of 1260 participants completed the Self-Rating Scale of Sleep (SRSS), the Generalized Anxiety Scale (GAD-7), and the 9-item patient health questionnaire (PHQ-9) via the online questionnaires, and their related experiences with COVID-19 were collected. Results The average SRSS score of all participants (25.13 ± 6.41) indicated a mild sleep problem, and the factors that influenced their sleep were the respondent’s gender, whether they had patients who died under their care, their history of psychosis and whether their family members were infected with COVID-19. The average GAD-7 score of all participants (12.37 ± 4.89) indicated a moderate anxiety level. The main factors that influenced anxiety were the respondent’s gender, years of work, history of psychosis, self-perceived health status, and whether their family members were infected with COVID-19. The average PHQ-9 score of all participants (8.90 ± 5.42) indicated a mild depression level. The primary factors that influenced depression were whether the respondent had nursed/treated severely ill patients in Hubei and whether they had a history of psychosis. Conclusions During the outbreak of COVID-19, the symptoms of anxiety were prominent among healthcare workers in Hubei. Moreover, male workers, those whose patients died during treatment, those with a history of anxiety disorders and those whose family members were infected with COVID-19 reported more serious problems. Therefore, this particular group of healthcare workers needs to be monitored and provided with tailored psychological support.
The experience of prevention measures taken by the psychiatric hospital during the emergence of asymptomatic patients with COVID-19
Background: Non-suicidal self-injury (NSSI) in psychiatric hospitalized adolescents keeps growing after the outbreak of COVID-19. This study aims to explore the relationship between the pandemic and the NSSI among adolescents, focusing on the underlying reasons. Methods: Through the retrospective analysis of medical record data retrieved from the electronic medical record system from January 2016 to March 2021, 609 medical records of adolescents were obtained. The main potential influencing factors were determined by the method of inductive content analysis. Results: Among the 609 adolescents, 420 subjects had NSSI, while 189 did not. We found the percentage of NSSI adolescents in 2016 was only 29.2% (7/24), reaching 34.5% (29/55) in 2017, 45.7% (42/92) in 2018, 61.3% (76/124) in 2019, 92.5% (196/212) in 2020, and 95.9% (70/73) in 2021. In the Binary logistic regression model, gender (OR=0.075), age (OR=1.215), single parent (OR=7.751) , experienced trauma (OR=2.214), social isolation (OR=8.313), body bully (OR=3.116), mobile phone overused (OR=4.199), committed suicide (OR=9.276), and before/after pandemic (OR=5.421) were significantly associated with NSSI. When comparing the differences in influencing factors between the pre-pandemic and the post-pandemic group, the results showed that experiencing trauma and suffering body bullying played less role in the appearance of NSSI, while the family constitution, relationship with parents, mobile phone use, and stressful learning have become the important factors. Conclusions: The pandemic has increased the risk of NSSI among adolescents and changed the influencing factors of this behavior. Tailored intervention gearing toward the changed risk factors should be formulated.
Background: Assessing the psychological status of public from different areas after the COVID-19 outbreak in China and analyzing the risk factors. Methods: A cross-sectional survey via online questionnaires was conducted. Occurrence of pressure, anxiety and depression were measured with Perceived Stress Scale (PSS), Generalized Anxiety Scale (GAD-7), and Patient Health Questionnaire-9 (PHQ-9), respectively. Results: The study included 3300 participants, with 1644 from Hubei and 1656 from outside Hubei. The rates of anxiety and depression among subjects from Hubei were 59.6% and 52.3%, while the corresponding rates for those outside Hubei were 44.4% and 46.6%. The scores of PSS, GAD-7, and PHQ-9 in Hubei were significantly higher than those in other areas (t = 3.823, 5.860, 2.211; P < 0.05). Multiple linear regression analysis indicated that among the participants from Hubei, the higher the educational background, the history of psychosis, the worse their physical health, the COVID-19 infected, isolated, and their families infected with the COVID-19, their mental health was relatively poor. In the participants outside Hubei, the more unstable their marriage status, the worse their physical health, isolated, and their families infected with the COVID-19, the worse their mental health level. Conclusions: The stress, anxiety, and depression of the public in Hubei are more prominent and the factors that affect their mental health are more complex. When conducting psychological intervention on the general public, we still need to formulate special intervention plans according to the different characteristics of different groups of people to provide them with appropriate crisis intervention services.
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