Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol

• URL: http://arxiv.org/abs/2003.08800v1
• Date: Thu, 19 Mar 2020 14:15:32 GMT
• Title: Cardiovascular risk and work stress in biomedical researchers in China: An observational, big data study protocol
• Authors: Fang Zhu, Qian Zhang, Hao Chen, Guocheng Shi, Chen Wen, Zhongqun Zhu, and Huiwen Chen
• Abstract summary: This study is an observational study aimed at characterising the health status of biomedical researchers in China. All candidates will be recruited from China. Web-based survey will involve sociodemographic variables, perceived stress scale, job satisfaction scale, role conflict and ambiguity scale, and family support scale.
• Score: 7.463244244797705
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Introduction: Internet technologies could strengthen data collection and integration and have been used extensively in public health research. It is necessary to apply this technology to further investigate the behaviour and health of biomedical researchers. A browser-based extension was developed by researchers and clinicians to promote the collection and analysis of researchers' behavioural and psychological data. This protocol illustrates an observational study aimed at (1) characterising the health status of biomedical researchers in China and assessing work stress, job satisfaction, role conflict, role ambiguity, and family support; (2) identifying the association between work, behaviour, and health; and (3) investigating the association between behaviour and mental status. Our findings will contribute to the understanding of the influences of job, work environment, and family support on the mental and physical health of biomedical researchers. Methods and analysis: This is a prospective observational study; all candidates will be recruited from China. Participants will install an extension on their Internet browsers, which will collect data when they are accessing PubMed. A web-based survey will be sent to the user interfaces every 6 months that will involve sociodemographic variables, perceived stress scale, job satisfaction scale, role conflict and ambiguity scale, and family support scale. Machine-learning algorithms will analyse the data generated during daily access. Ethics and dissemination: This study received ethical approval from the ethics committee of the Shanghai Children's Medical Centre (reference number SCMCIRB-K2018082). Study results will be disseminated through peer-reviewed publications and conference presentations.

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