Abstract Objective To investigate the prevalence of depressive symptoms among human immunodeficiency virus (HIV)‐negative/unknown men who have sex with men (MSM) in China and explore the relationship between perceived social support, anticipated HIV stigma, and depressive symptoms. Methods Participants in this study were recruited from a gay social networking app (Blued) in China by convenience sampling from December 16, 2020 to March 1, 2021. Perceived Social Support Questionnaire, Anticipated HIV Stigma Questionnaire, and Center for Epidemiologic Studies Depression Scale were used to measure the social support, anticipated HIV stigma, and depressive symptoms of participants. Confirmatory factor analysis was performed to assess the reliability and validity of the measurement model. Structural equation modeling was employed to evaluate the association of perceived social support, anticipated HIV stigma, and depressive symptoms, as well as the mediation effects. Results Overall, 47.70% (665/1394) of the participants had depressive symptoms. Perceived social support could have both direct and indirect effects on depressive symptoms with the mediating role of anticipated HIV stigma among HIV‐negative/unknown MSM. Conclusion Tailored interventions regarding perceived social support and anticipated HIV stigma, such as group therapy, mutual support groups and mindfulness training, with the involvement of non‐governmental or governmental organizations, should be taken into account to reduce depressive symptoms and stigma among HIV‐negative/unknown MSM in China.
Men who have sex with men (MSM) are at high risk of HIV acquisition. Long-acting injectable-pre-exposure prophylaxis (LAI-PrEP), requiring less frequent dosing, is being studied as an alternative method to daily oral HIV PrEP. With the addition of this potential new prevention method, it expands the scope for a wider user choice and is expected to increase the acceptability and uptake of HIV prevention measures. The aim of our study was to explore the willingness to use LAI-PrEP and associated influential factors.Participants were recruited from December 2020 to March 2021 through banner advertisements on web- and mobile app-based platforms on Blued, a large gay Chinese social media platform. MSM in our cross-sectional study was HIV-negative and currently lived in mainland China. Participants were asked about their willingness to use LAI-PrEP and reasons why they might be or not be willing to use LAI-PrEP. Multivariable logistic regression was used to analyze the factors associated with the willingness to use LAI-PrEP.In total, 969 participants met the inclusion criteria and finished the survey. Nearly twenty percent (19.5%) of participants had never tested for HIV; 66.8% of MSM had multiple male partners; and 51.6% of MSM engaged in condomless sex with their partner. About three-fifths (66.3%) of MSM were aware of PrEP, and only 3.9% of MSM had used PrEP before. The willingness to use LAI-PrEP among MSM was 74.0% (95% CI: 71.4%-76.6%). MSM with higher education levels were less likely to show a willingness to use LAI-PrEP (AOR = 0.56, 95%CI: 0.38-0.84). Participants who had a history of HIV test (AOR = 1.68, 95%CI: 1.11-2.55), were willing to use daily oral PrEP (AOR = 10.64, 95%CI:7.43-15.21), had multiple male sexual partners (AOR = 1.33, 95%CI:0.93-1.90), who used rush popper(AOR = 1.49, 95%CI:1.05-2.13), and who were aware of PEP (AOR = 1.66, 95%CI: 1.02-2.70) were more likely to show willingness to use LAI-PrEP.In our study, MSM had quite high awareness but low uptake of PrEP. As LAI-PrEP is expected to be approved for use in China in the future, our study of MSM highlights the need for key population-focused education programs about PrEP and healthy sexual behavior. This study also provides some evidence for LAI-PrEP use among the Chinese MSM population in the future.
Anticipated HIV stigma among men who have sex with men's (MSM) has a severe negative effect on their physical and mental health wellbeing and hence requires specific attention. The current study aims to identify the characteristics and the psychosocial influencing factors of anticipated HIV stigma in MSM using regression mixture model (RMM) and to determine the cut-off point of the seven-item Anticipated HIV Stigma Questionnaire (AHSQ) using the receiver operating characteristic (ROC) analysis.
Abstract Background Persistent infection of high-risk human papillomavirus (HPV) can lead to cervical intraepithelial neoplasia (CIN), cervical cancer, and even death. HPV vaccination for girls ages 9 to 14 years can effectively prevent the occurrence of cervical cancer. Free HPV vaccination pilot projects will be carried out among this population by our research team in central and western China. However, some parents might refuse to vaccinate their daughters. This protocol reports the design of a randomized controlled trial aiming to explore the efficacy of a mobile-based education intervention based on the Information-Motivation-Behavioral skills (IMB) model, in improving the HPV vaccination rate of 11-13-year-old girls in central and western China. Methods A multicenter intervention study based on an online applet will be conducted in March 2024, and at least 750 eligible parents of 11-13-year-old girls will be assigned 1:1 to an intervention group receiving a 7-day mobile-based education on HPV vaccines based on the IMB model or control group using non-HPV publicity materials. All participants will be asked to complete online questionnaires at baseline, post-intervention, and 1, 2, and 3 months after the intervention. The primary outcome of this study will be receipt of the first HPV vaccination or appointments for HPV vaccination within 3 months. Data will be analyzed based on an intention-to-treat approach, and SAS 9.4 will be used for statistical analysis. Discussion This study aims to improve the HPV vaccination rate of 11-13-year-old girls and will examine the impact of a mobile-based education on HPV vaccines, based on IMB model. The findings of this study may offer promising intervention measures on HPV vaccine hesitancy in low health resource areas in the future. Trial registration: Chinese Clinical Trial Registry (ChiCTR), ChiCTR2300067402; Registered on 6 January 2023.
A number of publications have demonstrated that deep learning (DL) algorithms matched or outperformed clinicians in image-based cancer diagnostics, but these algorithms are frequently considered as opponents rather than partners. Despite the clinicians-in-the-loop DL approach having great potential, no study has systematically quantified the diagnostic accuracy of clinicians with and without the assistance of DL in image-based cancer identification.
Background: Medical care workers experienced unprecedented levels of workload and pressure since the outbreak of COVID-19 started from the end of 2019. Little is known about its exact impact on medical care workers and related factors in China.Methods: A cross-sectional survey was conducted among 863 medical care workers from 7 provinces in China using standard questionnaires measuring adverse psychological outcomes including Impact of Event Scale-6 (IES-6), Depression, Anxiety and Stress Scale(DASS)and related psychosocial factors like perceived threat, social support and coping strategies. Exploratory Factor analysis was performed to identify the dimensions of perceived threat by study participants. Multivariate regression was used to examine the determinants of adverse psychological outcomes.Findings: Posttraumatic stress (PTS) were prevalent in this sample of health care professionals, and 40·21% indicated positive screens for significant posttraumatic stress disorder (PTSD) symptoms. The proportion of having mild to extremely severe symptoms of depression, anxiety and stress were 13·56%, 13·90% and 8·57%, respectively. Perceived threat and passive coping strategies were positively correlated to PTS and DASS scores, while perceived social support and active coping strategies were negatively correlated to DASS scores. Nurses were more likely to be anxious than others among medical care workers during the COVID-19 epidemic.Interpretation: Adverse psychological symptoms were prevalent among medical care workers in China during the COVID-19 epidemic. Screening for adverse psychological outcomes and developing corresponding preventive measures would be beneficial in decreasing negative psychological outcomes.Funding Statement: Asian Regional Special Cooperation Fund of National Health Commission of the People's Republic of China and the Innovative Engineering Program on global health policy sponsored by Chinese Academy of Medical Sciences (2017-I2M-B&R-17).Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: This study has been approved by the Ethics Committee of Jining Medical University of Shandong province on February 12th, 2020 (approval number: JNMC-2020-KY-001).
Objective To measure the prevalence of mental health symptoms and identify the associated factors among college students at the beginning of coronavirus disease 2019(COVID-19)outbreak in China. Methods We carried out a multi-center cross-sectional study via snowball sampling and convenience sampling of the college students in different areas of China.The rates of self-reported depression,anxiety,and stress and post-traumatic stress disorder(PTSD)were assessed via the 21-item Depression-Anxiety-Stress Scale(DASS-21)and the 6-item Impact of Event Scale-Revised(IES-6),respectively.Covariates included sociodemographic characteristics,health-related data,and information of the social environment.Data pertaining to mental health service seeking were also collected.Multivariate Logistic regression analyses were performed to identify the risk factors. Results A total of 3641 valid questionnaires were collected from college students.At the beginning of the COVID-19 outbreak,535(14.69%)students had negative emotions,among which 402(11.04%),381(10.49%),and 171(4.90%)students had the symptoms of depression,anxiety,and stress,respectively.Meanwhile,1245(34.19%)college students had PTSD.Among the risk factors identified,male gender was associated with a lower likelihood of reporting depression symptoms(AOR=0.755,P=0.037],and medical students were at higher risk of depression and stress symptoms than liberal arts students(AOR=1.497,P=0.003;AOR=1.494,P=0.045).Family support was associated with lower risks of negative emotions and PTSD in college students(AOR=0.918,P<0.001;AOR=0.913,P<0.001;AOR=0.899,P<0.001;AOR=0.971,P=0.021). Conclusions College students were more sensitive to public health emergencies,and the incidence of negative emotions and PTSD was significantly higher than that before the outbreak of COVID-19.More attention should be paid to female college students who were more likely to develop negative emotions.We should strengthen positive and proper propaganda via mass media and help college students understand the situation and impact of COVID-19.Furthermore,we should enhance family support for college students.The government and relevant agencies need to provide appropriate mental health services to the students under similar circumstances to avoid the deterioration of their mental well-being.
Abstract Background An increasing number of undergraduate students in China have been reported to have psychological problems. In response to the COVID-19 pandemic, a series of preventive and control measures were implemented, which undoubtedly worsened their psychological health. Coping style and social support were probably important factors that affected the psychological well-being of undergraduate students during the pandemic. This study aimed to explore the effects of coping style and perceived social support on the psychological well-being of college students and relevant risk factors. Methods This cross-sectional study was performed in February and March of 2020 by distributing an online questionnaire among undergraduate students from seven geographical regions across China. The questionnaire included sociodemographic information; the 21-item Depression, Anxiety and Stress Scale (DASS-21); the Perceived Social Support Scale (PSSS); and the Simplified Coping Style Questionnaire (SCSQ). For the analyses, t-tests, one-way analysis of variance (ANOVA), the Kruskal–Wallis test and multiple linear regression were utilized. The level of significance was set at P < 0.05. Results Among 3113 college students, the rates of anxiety, depression and stress symptoms were 13.3, 15.4 and 6.8%, respectively. Increased rates of current smoking and drinking (5.5 and 25.2%, respectively) among undergraduates were identified. The results indicated that the PSSS subscales and SCSQ subscales were significantly associated with DASS-21 scores ( P < 0.001). Multiple linear regression analysis showed that active coping style and family support were protective factors while passive coping style could aggravate psychological problems among participants ( P < 0.001). Conclusions A remarkable number of college students adopted passive coping strategies to cope with negative feelings, such as smoking and drinking, which were detrimental to their mental health. In contrast, active coping strategies helped improve their psychological well-being. Moreover, family support was particularly important for maintaining their mental health and ameliorating mental health challenges in this major health crisis. Consequently, suitable psychointervention, routine screening for risk behaviors, and provision of further social support are needed for undergraduate students in the COVID-19 pandemic or other emergency public health events.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)