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      A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations


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          The Coronavirus Disease 2019 (COVID-19) epidemic emerged in Wuhan, China, spread nationwide and then onto half a dozen other countries between December 2019 and early 2020. The implementation of unprecedented strict quarantine measures in China has kept a large number of people in isolation and affected many aspects of people’s lives. It has also triggered a wide variety of psychological problems, such as panic disorder, anxiety and depression. This study is the first nationwide large-scale survey of psychological distress in the general population of China during the COVID-19 epidemic.

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          Factors associated with health service utilisation for common mental disorders: a systematic review

          Background There is a large treatment gap for common mental disorders (CMD), with wide variation by world region. This review identifies factors associated with formal health service utilisation for CMD in the general adult population, and compares evidence from high-income countries (HIC) with that from low-and-middle-income countries (LMIC). Methods We searched MEDLINE, PsycINFO, EMBASE and Scopus in May 2016. Eligibility criteria were: published in English, in peer-reviewed journals; using population-based samples; employing standardised CMD measures; measuring use of formal health services for mental health reasons by people with CMD; testing the association between this outcome and any other factor(s). Risk of bias was assessed using the adapted Mixed Methods Appraisal Tool. We synthesised the results using “best fit framework synthesis”, with reference to the Andersen socio-behavioural model. Results Fifty two studies met inclusion criteria. 46 (88%) were from HIC. Predisposing factors: There was evidence linking increased likelihood of service use with female gender; Caucasian ethnicity; higher education levels; and being unmarried; although this was not consistent across all studies. Need factors: There was consistent evidence of an association between service utilisation and self-evaluated health status; duration of symptoms; disability; comorbidity; and panic symptoms. Associations with symptom severity were frequently but less consistently reported. Enabling factors: The evidence did not support an association with income or rural residence. Inconsistent evidence was found for associations between unemployment or having health insurance and use of services. There was a lack of research from LMIC and on contextual level factors. Conclusion In HIC, failure to seek treatment for CMD is associated with less disabling symptoms and lack of perceived need for healthcare, consistent with suggestions that “treatment gap” statistics over-estimate unmet need for care as perceived by the target population. Economic factors and urban/rural residence appear to have little effect on treatment-seeking rates. Strategies to address potential healthcare inequities for men, ethnic minorities, the young and the elderly in HIC require further evaluation. The generalisability of these findings beyond HIC is limited. Future research should examine factors associated with health service utilisation for CMD in LMIC, and the effect of health systems and neighbourhood factors. Trial registration PROSPERO registration number: 42016046551. Electronic supplementary material The online version of this article (10.1186/s12888-018-1837-1) contains supplementary material, which is available to authorized users.
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            Risk factors for post-injury mental health problems.

            Serious nonfatal physical injuries and burns are common occurrences that can have substantial implications for personal, social, and occupational functioning. Such injuries are frequently associated with significant mental health issues, and compromised quality of life and well-being. The purpose of this review is to summarize the current literature on physical, psychological, and social risk factors for mental health issues post-injury and to contextualize findings using Engel's biopsychosocial framework. We distinguish between pre-injury, injury-related, and post-injury risk factors for mental health problems. Female sex, history of mental health problems or trauma, type of injury, and level of pain are among the strong risk factors for mental health problems post-injury. We highlight inconsistent findings in the literature, identify directions for future research, and explore the implications of the risk factors identified for treatment and prevention.
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              The mechanisms that associate community social capital with post-disaster mental health: a multilevel model.

              Many scholars have advocated that the time has come to provide empirical evidence of the mechanisms that associate community social capital with individual disaster mental health. For this purpose we conducted a study (n = 232) one year after a flood (2008) in Morpeth, a rural town in northern England. We selected posttraumatic stress as an indicator of disaster mental health. Our multilevel model shows that high community social capital is indirectly salutary for individual posttraumatic stress. In particular, in communities (defined as postcode areas) with high structural social capital, the results suggest that individuals confide in the social context (high cognitive social capital) to address disaster-related demands (high collective efficacy), and employ less individual psychosocial resources (i.e. coping strategies and social support). This "conservation of individual psychosocial resources" in a salutary social context decreases the association between the appraisal of the disaster and posttraumatic stress. As a result of this mechanism, individuals suffer less from posttraumatic stress in communities with high social capital. These findings provide new insights how intervention policies aimed at strengthening both objective and subjective dimensions of social capital may reduce post-disaster mental health.

                Author and article information

                Gen Psychiatr
                Gen Psychiatr
                General Psychiatry
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                6 March 2020
                : 33
                : 2
                : e100213
                [1 ]departmentShanghai Mental Health Center , Shanghai Jiaotong University School of Medicine , Shanghai, China
                [2 ]departmentDepartment of AI Health Informatics , Siuvo Inc , Shanghai, China
                Author notes
                [Correspondence to ] Professor Yifeng Xu; xuyifeng@ 123456smhc.org.cn
                Author information
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                : 25 February 2020
                : 29 February 2020
                Custom metadata

                panic disorder,anxiety,depression,psychological trauma,disease notification


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