Sleep Conditions Associate with Anxiety and Depression Symptoms among Pregnant Women during the Epidemic of COVID-19 in Shenzhen.

BACKGROUND: Pregnant women often encounter psychiatric symptoms and declined sleep quality as pregnancy proceeds. The associations between sleep conditions and anxious and depressive symptoms among pregnant women remained to be investigated, particularly during the epidemic of COVID-19. METHODS: An online cross-sectional survey on pregnant women was conducted at the time period of fast increasing cases of COVID-19 in Shenzhen. The Self-Rating Anxiety Scale (SAS) and the Patient Health Questionnaire (PHQ-9) were applied to detect anxious and depressive symptoms. Multivariable logistic regressions models were established to explore the associations of sleep conditions with psychological symptoms. RESULTS: In total, 751 pregnant women were enrolled, with a mean age of 30.51 years (Standard deviation: 4.28). Overall, 82.7% of the respondents considered low risk of being infected by COVID-19. The prevalence of anxiety and depression symptoms during the epidemic of COVID-19 among pregnant women were 13.4% and 35.4%, respectively, but most of which were mild. Variables referred to poor sleep conditions were strongly associated with anxious and depressive symptoms, including random or late time of going to bed, difficulty in falling sleep, short sleep duration, and ordinary or poor subjective sleep quality. LIMITATIONS: Non-random sample restricted generalization of our findings to the whole population of pregnant women. CONCLUSIONS: Our research revealed a notable proportion of the pregnant women who exhibited mild anxiety and depression symptoms during the epidemic of COVID-19 in Shenzhen. Targeted interventions in improving sleep conditions might help alleviate gestational anxious and depressive symptoms.

Work stress, family stress, and suicide ideation: A cross-sectional survey among working women in Shenzhen, China.

BACKGROUND: This study aimed to explore the associations of work characteristics, work stress, and family stress with suicide ideation among working women, further to detect potential joint effects between different types of stress. METHODS: From March to June in 2015, a cross-sectional survey on working women were conducted in Shenzhen, China. Demographic and work characteristics, work stress, family stress, and suicide ideation were collected. Multivariate logistic regression models were applied to assess possible associations by calculating the odds ratios (OR) and 95% confident intervals (CI). RESULTS: Totally 968 working women were included with a mean age of 31.62 (standard deviation: 7.43) years. The prevalence of suicide ideation was 19.4%. We found that night shift work, sickness absence, work stress, and family stress were positively associated with suicide ideation, after adjusting for age, education level, marital status, and occupation type. None joint effect on multiplicative or additive scale of work stress and family stress on suicide ideation was found (P for multiplicative and additive interaction: 0.736 and 0.595, respectively), however, women with both high work stress and high family stress appeared more than five-time odds of suicide ideation (OR: 5.253, 95%CI: 2.982∼9.252). LIMITATIONS: We did not collect information on other psychosocial profiles and failed to explore potential mediated effects within current associations. CONCLUSIONS: This study lends support to suicide prevention that immediate relief allocated to working women with both high level of work stress and family stress is warranted of necessity.