Dataset Information

Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter.

ABSTRACT: The outbreak of COVID-19 in China in December 2019 has been identified as a pandemic and a health emergency of global concern. Our objective was to investigate the prevalence and predictors of posttraumatic stress symptoms (PTSS) in China hardest-hit areas during COVID-19 outbreak, especially exploring the gender difference existing in PTSS. One month after the December 2019 COVID-19 outbreak in Wuhan China, we surveyed PTSS and sleep qualities among 285 residents in Wuhan and surrounding cities using the PTSD Checklist for DSM-5 (PCL-5) and 4 items from the Pittsburgh Sleep Quality Index (PSQI). Hierarchical regression analysis and non-parametric test were used to analyze the data. Results indicated that the prevalence of PTSS in China hardest-hit areas a month after the COVID-19 outbreak was 7%. Women reported significant higher PTSS in the domains of re-experiencing, negative alterations in cognition or mood, and hyper-arousal. Participants with better sleep quality or less frequency of early awakenings reported lower PTSS. Professional and effective mental health services should be designed in order to aid the psychological wellbeing of the population in affected areas, especially those living in hardest-hit areas, females and people with poor sleep quality.

SUBMITTER: Liu N

PROVIDER: S-EPMC7102622 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter.

Liu Nianqi N Zhang Fan F Wei Cun C Jia Yanpu Y Shang Zhilei Z Sun Luna L Wu Lili L Sun Zhuoer Z Zhou Yaoguang Y Wang Yan Y Liu Weizhi W

Psychiatry research 20200316

The outbreak of COVID-19 in China in December 2019 has been identified as a pandemic and a health emergency of global concern. Our objective was to investigate the prevalence and predictors of posttraumatic stress symptoms (PTSS) in China hardest-hit areas during COVID-19 outbreak, especially exploring the gender difference existing in PTSS. One month after the December 2019 COVID-19 outbreak in Wuhan China, we surveyed PTSS and sleep qualities among 285 residents in Wuhan and surrounding cities ...[more]

PMID: 32240896

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Project description:BackgroundThe outbreak of COVID-19 has caused extremely many serious consequences for the country and the world. In fact, it has seriously affected people's mental health. The purpose of this study is to understand the psychological stress among college students in different stages of epidemics in hard-hit areas such as Hubei. Moreover, to highlight the factors that influencing, their psychological conditions with the emphasis of further corresponding suggestions.MethodsThis study includes self-designed questionnaires in order to assess and analyze the psychological state of over 17,000 college students during the outbreak period in January and home quarantine in February. The questionnaire contains three aspects and six dimensions: pressure responses: stress susceptibility (SS), stress adjustment (SA), risk cognition: cognition of danger (CD), cognition of illness (CI) and stress reactions: emotional responses (ER), somatic responses (SR). This survey was done by an online questionnaire (www.wjx.cn) to investigate the psychological stress information of college students, and analyzed the data by SPSS 22.0 for Windows.ResultsRegarding the stress susceptibility, participants were more likely stressed in February than in January. Regarding the stress adjustment, the number of participants requiring pressure regulation or release in the February survey was significantly lower than that the effective in the January survey. The mean of the cognition of danger reduced significantly in February than in January, in other words, participants were highly worried about the epidemic in January than in February. Regarding the cognition of illness, participants in January had a more pessimistic attitude towards the epidemic than those in February. The emotional responses of the participants in February were more severe than those in January, while the somatic responses reduced significantly in February compared with January. Furthermore, females have stronger stress reactions than males. However, the SR doesn't have significant differences between females and males.ConclusionAfter two surveys in January and February, it was found that the psychological stress of college students in Hubei was significantly different at different stages of the epidemic, where the epidemic developed, the psychological stress of college students become more severe. The psychological stress of the college students in Hubei Province, as a severely affected area, should be paid more attention.

Project description:Chikungunya virus (CHIKV), a mosquito-borne alphavirus of the Togaviridae family, is part of a group of emergent diseases, including arbovirus, constituting an increasing public health problem in tropical areas worldwide. CHIKV causes a severe and debilitating disease with high morbidity. The first Colombian autochthonous case was reported in the Colombian Caribbean region in September 2014. Within the next two to three months, the CHIKV outbreak reached its peak. Although the CHIKV pattern of clinical symptomatology has been documented in different epidemiological studies, understanding of the relationship between clinical symptomatology and variation in phenotypic response to CHIKV infection in humans remains limited. We performed a cross sectional study following 1160 individuals clinically diagnosed with CHIKV at the peak of the Chikungunya outbreak in the Colombian Caribbean region. We examined the relationship between symptomatology and diverse phenotypic responses. Latent Class Cluster Analysis (LCCA) models were used to characterize patients' symptomatology and further identify subgroups of individuals with differential phenotypic response. We found that most individuals presented fever (94.4%), headache (73.28%) and general discomfort (59.4%), which are distinct clinical symptoms of a viral infection. Furthermore, 11/26 (43.2%) of the categorized symptoms were more frequent in women than in men. LCCA disclosed seven distinctive phenotypic response profiles in this population of CHIKV infected individuals. Interestingly, 282 (24.3%) individuals exhibited a lower symptomatic "extreme" phenotype and 74 (6.4%) patients were within the severe complex "extreme" phenotype. Although clinical symptomatology may be diverse, there are distinct symptoms or group of symptoms that can be correlated with differential phenotypic response and perhaps susceptibility to CHIKV infection, especially in the female population. This suggests that, comparatively to men, women are a CHIKV at-risk population. Further study is needed to validate these results and determine whether the distinct LCCA profiles are a result of the immune response or a mixture of genetic, lifestyle and environmental factors. Our findings could contribute to the development of machine learning approaches to characterizing CHIKV infection in other populations. Preliminary results have shown prediction models achieving up to 92% accuracy overall, with substantial sensitivity, specificity and accuracy values per LCCA-derived cluster.

Dataset Information

Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter.

Publications

Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter.

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