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Introduction: In July 2021, Zhangjiajie City became the new epicenter of the COVID-19 outbreak. Aside from the physical manifestations of COVID-19, patients are also victims of severe social stigmatization. Stigma affects not only COVID-19 patients or survivors, but also individuals associated with them. This study aims to describe and assess the COVID-19-related stigma between patients, their relatives, and healthy local residents. Methods: The study included 43 COVID-19 patients, 68 relatives, and 75 healthy residents from Zhangjiajie. Demographic data was collected, including gender, age, marital status, and educational level. Stigma attitudes toward COVID-19 were measured using the Stigma Scale and Social Distance Scale. Frequencies and percentages were described for each item of the scales, and differences among the three groups were examined using the chi-square test. Results: With regards to personal and perceived stigma, most participants agreed that patients with COVID-19 "could snap out of the problem" and that "they were dangerous." For social distance, over 30% of participants from the three groups agreed with the item "unwillingness to marry into the family of someone with COVID-19." In all groups, there were significant statistical differences in the belief that "the problem is not a real medical illness" and the desire to "spend the evening socializing." Conclusion: Although the outbreak was well-contained in Zhangjiajie, stigmatizing attitudes toward COVID-19 and desire for social distance to such patients were common among patients, their relatives and healthy local residents. Our study's results suggest that public education, anti-stigma interventions, and policies are necessary for people living in Zhangjiajie in order to effectively curtail the spread of COVID-19 and provide a useful strategy for a tourist city like Zhangjiajie to recover sooner from economic decline.
Subject(s)
COVID-19 , Attitude , COVID-19/epidemiology , Humans , Social Stigma , StereotypingABSTRACT
The coronavirus disease 2019 (COVID-19) has adversely influenced human physical and mental health, including emotional disorders and addictions. This study examined substance and Internet use behavior and their associations with anxiety and depression during the COVID-19 pandemic. An online self-report questionnaire was administered to 2196 Chinese adults between February 17 and 29, 2020. The questionnaire contained the seven-item Generalized Anxiety Disorder Scale (GAD-7) and Patient Health Questionnaire (PHQ-9), questions on demographic information, and items about substance and Internet use characteristics. Our results revealed that males consumed less alcohol (p < 0.001) and areca-nut (p = 0.012) during the pandemic than before the pandemic. Age, gender, education status, and occupation significantly differed among increased substance users, regular substance users, and nonsubstance users. Time spent on the Internet was significantly longer during the pandemic (p < 0.001) and 72% of participants reported increased dependence on the Internet. Compared to regular Internet users, increased users were more likely to be younger and female. Multiple logistic regression analysis revealed that age <33 years (OR = 2.034, p < 0.001), increased substance use (OR = 3.439, p < 0.001), and increased Internet use (OR = 1.914, p < 0.001) were significantly associated with depression. Moreover, anxiety was significantly related to female gender (OR = 2.065, p < 0.001), "unmarried" status (OR = 1.480, p = 0.017), nonstudents (OR = 1.946-3.030, p = 0.001), and increased substance use (OR = 4.291, p < 0.001). Although there was a significant decrease in social substance use during the pandemic, more attention should be paid to increased Internet use. Increased Internet use was significantly associated with both anxiety and depression, and increased substance use was related to depression. Professional support should be provided to vulnerable individuals to prevent addiction.
Subject(s)
COVID-19 , Pandemics , Adult , Anxiety/epidemiology , China/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Female , Humans , Internet , Internet Use , Male , SARS-CoV-2ABSTRACT
BACKGROUND: Internet gaming disorder (IGD) was listed in the appendix of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as a condition requiring further study in 2013, and gaming disorder (GD) was considered a mental disorder and listed in the 11th International Classification of Diseases Manual (ICD-11) in 2018. The study aims to obtain preliminary knowledge of the recognition of GD in China. METHODS: A total of 223 Chinese patients who met both the ICD-11 and DSM-5 criteria for GD participated in the study, and a self-administered questionnaire was used to collect demographic information, gaming use characteristics, and previous diagnoses. RESULTS: The average age of patients with GD was 20.5 years, and 71.3% were male. Most patients were diagnosed with emotion-related disorders at their first psychiatric visit: mood disorders (59.2%), bipolar affective disorder (18.4%), depressive episode (12.6%), and anxiety disorder (4.9%). Among the adolescent patients with a first diagnosis of mood disorders, 71.2% and 33.3% were diagnosed with bipolar affective disorder and personality disorders, respectively, at subsequent visits. Overall, after the first visit, the most common diagnosis was bipolar affective disorder (61.0%), followed by personality disorders (34.1%), mood disorders (17.0%), depressive episode (17.0%), and other disorders. Only three patients had Internet overuse. CONCLUSION: The identification rate of GD is extremely low in routine psychiatric clinical practice in China. Most patients with GD were previously misdiagnosed with emotion-related disorders. Psychiatrists should be trained to improve their ability to recognize and manage GD.
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BACKGROUND: Suicidal ideation is the first step and a strong predictor of suicide. College students are at a considerably high risk of suicidal ideation, and smartphones are commonly used in this group. However, the relationship between suicidal ideation and smartphone use among Chinese college students is unclear. The current study aimed to investigate the prevalence of suicidal ideation among Chinese college students and its association with smartphone use and addiction factors. METHODS: A total of 439 college students participated the survey. We collected the demographic information, physical health, psychosocial factors (depressive symptoms, social support, sleep quality), characteristics of smartphone use, and mobile phone addiction (MPA). Suicidal ideation was measured with a single question, "did you feel that life was not worth living in the past 1 year?" RESULTS: The prevalence of suicidal ideation ("Yes" response) in the past year among Chinese college students was 7.5%. In binary logistic regression analysis, suicidal ideation was significantly correlated with less subjective social support (OR: 2.49, p = 0.049), lower utilization of social support (OR: 13.28, p = 0.012), more depressive symptoms (OR:4.96, p = 0.005), and more than 5 h of daily smartphone use (OR: 2.60, p = 0.025). CONCLUSION: Considering the widely use of smartphones in Chinese colleges and the correlation with suicidal ideation, excessive phone use among college students should be given more attention by administrators and health workers. It is necessary to obtain more information about the intention of smartphone use, make full use of smartphones for health education, and monitor excessive use of smartphones, while improving social support and coping mechanisms for depression, to identify suicidal ideation and prevent suicidal behavior among Chinese college students.
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Smartphone , Suicidal Ideation , China/epidemiology , Humans , Students/psychology , UniversitiesABSTRACT
Background: Internet gaming is extremely popular in China. However, some players overuse it, with negative outcomes. Knowing the prevalence rate and specific risk factors can provide a better understanding of the etiology of Internet Gaming Disorder (IGD). This study aimed to estimate the prevalence of IGD among Chinese adolescents and its association with their personality traits and Internet gaming characteristics. Methods: A cross-sectional study design was utilized in this study. Participants were recruited from 34 provincial administrative districts in China and consisted of 6,379 adolescent game players aged 15-25 (males/females = 3,701/2,678, mean age: 19.35 ± 1.61). A self-report structured questionnaire containing questions regarding demographic information and Internet gaming use characteristics, the Video Gaming Dependency Scale, and the Chinese Big Five Inventory-brief version, was used in the study. Results: The prevalence of IGD among Chinese adolescent game players was 17.0%. All participants were divided into the IGD group (males/females = 751/333, mean age: 19.74 ± 1.85) or the non-IGD group (males/females = 2,950/2,345, mean age: 19.27 ± 1.54). Specifically, twelve factors were significantly associated with IGD (p < 0.001), including neuroticism (ß = 0.17), conscientiousness (ß = -0.14), Internet gaming time per day (Hour) (ß = 0.21), Internet gaming charge per month (Yuan) (ß = 0.21), motive: escaping (ß = 0.15), motive: sensation seeking (ß = 0.13), motive: maintaining (ß = 0.08), motive: coping (ß = 0.06), having one or two long-term game partners (ß = 0.06), male (ß = 0.12), undergraduate and above (ß = 0.04), and relationship status of couple (ß = 0.04). Conclusion: Our findings offer evidence with respect to the prevalence of IGD and its relationships with specific personality traits and Internet gaming characteristics in China. It is necessary for Chinese parents, teachers, and social workers to pay more attention to adolescents' personality traits of high neuroticism and low conscientiousness, long time and high expense they spend on game, as well as their motives.
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OBJECTIVE: This study investigated the effects of acute or chronic ketamine administration on learning and memory function as well as levels of brain-derived neurotrophic factor (BDNF) in the hippocampus and blood in order to explore the potential correlation between learning-memory dysfunction and ketamine. METHODS: Rats were treated with 25 mg/kg ketamine for 3 d (n = 20) or 14 d (n = 20). Saline-treated rats were used as controls. The Morris water maze test was used to evaluate spatial learning and memory after 10 d of withdrawal. The level of BDNF in serum and the hippocampus were measured by ELISA. RESULTS: The number of platform crossings and residence time in the target platform quadrant were significantly reduced in ketamine 3 d and 14 d groups than in the saline controls (both p < 0.05). In addition, the average escape latency of ketamine 3 d and 14 d groups were significantly longer than that of the saline 3 d and 14 d groups (p < 0.0001), respectively. Further examination found that only serum samples from ketamine 14 d group showed significantly decreased BDNF level compared to that from saline 14 d groups (p < 0.05). However, no differences were detected in hippocampus samples. CONCLUSION: Chronic ketamine exposure (25 mg/kg) causes spatial learning and memory deficits in SD rats, which may be associated with decreased serum BDNF levels.
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BACKGROUND: Chinese college students are at high risk of sleep problems, and smartphone use is common among this population. However, the relationship between smartphone use characteristics and sleep problems in Chinese college students has been inadequately studied. In this preliminary study, we examined the association of poor sleep quality with smartphone use in a sample of Chinese college students from a health vocational college in Changsha, China. METHODS: A total of 439 college students completed a self-report questionnaire containing the Pittsburgh Sleep Quality Index (PSQI) and questions regarding demographic information, psychosocial factors, physical health, smartphone use characteristics, and mobile phone addiction (MPA). RESULTS: The results showed that the prevalence of poor sleep quality (PSQI > 7) in Chinese college students was 9.8%. In multiple logistic regression analysis, poor sleep quality was significantly associated with male gender (OR: 2.80, P: 0.022), not having good physical health (OR: 2.61, P: 0.020), headache (OR: 2.47, P: 0.014), more severe depressive symptoms (OR: 2.17, P: 0.049), > four years of smartphone use (OR: 3.38, P: 0.001), > five hours of daily smartphone use (OR: 2.19, P: 0.049), and more severe inability to control MPA craving (OR: 2.04, P: 0.040). CONCLUSION: Our findings suggest that excessive smartphone use and MPA are associated with poor sleep quality in a sample of Chinese college students from a health vocational college. Because of the limited sample representativeness and cross-sectional design of this study, large-scale prospective representative studies are warranted to confirm these associations.