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Abstract: This study aimed to explore the prevalence and risk factors of cardiovascular disease (CVD) and psychological distress among female scientists and technicians in China. Accordingly, we included scientists and technicians from representative research institutions, medical institutions, colleges, universities, and businesses in China, and the data were collected from July 1, 2019 to March 31, 2021 via online questionnaires. The parameters evaluated in this study included age, sex, marital status, educational background, monthly income, sleep hours, sleep problems, smoking, alcohol consumption, work-related stress, work burnout, cardiovascular symptoms, CVD, family history, and depressive and anxiety symptoms. A total of 14 530 scientists and technicians were included, comprising 7144 men and 7386 women. We found 34.9% men and 16.6% women with CVD, 35.1% men and 21.4% women with depressive symptoms, 28.7% men and 13.8% women with anxiety symptoms, and 22.0% men and 9.5% women with CVD combined with depressive or anxiety symptoms. This study focused on the details of women. Younger women (age≤35 years) had the highest prevalence of depressive symptoms (24.9%), anxiety symptoms (16.2%), and comorbidity (11.2%). It was established that, despite traditional risk factors, unmanageable work burnout, depressive symptoms, and anxiety symptoms were associated with a higher risk of CVD in women; insomnia, overwhelming work stress, unmanageable work burnout, and CVD were linked to a higher risk of depressive symptoms and anxiety; insomnia, overwhelming work stress, and unmanageable work burnout were related to CVD combined with depressive or anxiety symptoms. A bidirectional relationship was noted between CVD and depression or anxiety in female scientists and technicians, and insomnia and overwhelming work stress were positively associated with comorbidity. It is suggested that effective measures should be taken to protect female scientists and technicians from CVD and psychological distress.

女科技工作者心血管疾病及心理问题的患病率及风险因素

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