Objective : To explore the relationship between the nodes of anxiety and depression symptoms in preg- nant women , and to analyze the interaction between these symptoms . Methods : A convenient sampling method was used to evaluate the level of anxiety and depression among pregnant women who underwent antenatal check-up in the obstetric examination in a Grade Ⅲ A hospital . Data were collected using the General Data Questionnaire , the Generalized Anxiety Disorder Scale (GAD-7) , and the Patient Health Questionnaire Depression Scale (PHQ-9) . Based on the relationship between anxiety and depressive symptoms in pregnant women , a network was constructed and analyzed . Results : mong the 1 742 subjects , 476 (27 . 3% ) had anxiety , 290 (16. 6% ) had depression , and 218 (12. 5% ) had anxiety and depression comorbidities . The univariate analysis revealed statistically significant differences in various factors such as age , education level , occupation , gestational week , sleep status during pregnancy , exercise status during pregnancy , drinking , knowledge of pregnancy , planned pregnancy , living envi- ronment , husband-wife relationship , parent-in-law relationship and parental relationship had statistically significant differences in whether they had CAD (all P < 0. 05) . In the network of anxiety and depression symptoms , the edge weight between node PHQ2 (feeling down , depressed , or hopeless) and GAD6 (becoming easily annoyed or irrita- ble) , PHQ8 (slowed speech or movement , or becoming more restless and fidgety than usual) , as well as GAD5 (being so restless that it is difficult to sit still) was 0. 27 . The centrality measures of PHQ2 were as follows : be- tweenness (Bet ) = 2. 648 , closeness ( Clo) = 1 . 785 , strength ( Str) = 1 . 439 , and expected influence ( Exp) = 1 . 439 . Conclusion Node PHQ2 has the strongest correlation with GAD6 , PHQ8 , and GAD5 , with an edge weight of 0. 27 . PHQ2 has a significant impact on other symptoms within the network , making it the core symptom of the network . It is more involved in symptom interactions and plays a role in predicting other symptoms . Targeting PHQ2 as an intervention point can help develop effective treatment strategies , providing new insights into the asso- ciation between perinatal anxiety and depressive symptoms , as well as their clinical significance .

OBJECTIVES: Pregnancy stress is the psychological confusion or threat caused by various stress events and adverse factors during pregnancy. Pregnant women exposed to many stressors, they will be easy to produce bad mood and prenatal depression if they cannot adapt to their own changes. Prenatal depression is one of the major global public health problems, with a higher incidence in developing countries and a negative impact on the health of pregnant women and fetus. Resilience refers to pregnant women using their own positive psychological capital, can self-emotional adjustment and improve their ability to adapt to the response state. A better level of resilience can enable pregnant women to face various negative and adaptive problems positively. This study aims to investigate the relationship between pregnancy stress, resilience and prenatal depression through a mental health survey of pregnant women. METHODS: A total of 750 pregnant women in a Grade A tertiary hospital in Urumqi were investigated by self-designed demographic questionnaire, Pregnancy Pressure Scale (PPS) and Patient Health Questionnaire-9 (PHQ-9), Connor-Davidson Resilience Scale (CD-RISC), and the levels of stress during pregnancy, prenatal depression and resilience were analyzed. Pearson correlation analysis was used to explore the correlation between the three. Bootstrap mediation effect test was used to test the mediation effect relationship among the three. If the mediation effect was confirmed, AMOS software was used to establish the mediation effect structural equation model to analyze the mediation effect among the three. RESULTS: Among 750 respondents, 709 (94.53%) had mild or above pregnancy pressure, 459 (61.20%) had mild or above depressive symptoms and 241 (32.13%) had a good or above level of resilience. Pearson correlation analysis showed that prenatal depression was significantly positively correlated with pregnancy stress (P<0.01), prenatal depression and pregnancy stress were significantly negatively correlated with resilience (all P<0.01). Mediation effect test analysis showed that all the pathways were statistically significant (P<0.01). Mediation effect of resilience between pregnancy stress and prenatal depression was significantly found (95% CI 0.022-0.068, P<0.001). Pregnancy pressure negatively affected resilience (β=-0.38, P<0.01), and resilience negatively affected prenatal depression (β=-0.10, P<0.01). The mediation effect of resilience was 6.5%. CONCLUSIONS Pregnant women's pregnancy pressure, resilience and prenatal depression are significantly correlated, and the mediation variable resilience plays a partial mediating role in the impact of pregnancy pressure on prenatal depression. Pregnant women can reduce the incidence of prenatal depression and promote their physical and mental health by exercising their resilience.
Pregnancy ; Humans ; Female ; Depression/epidemiology* ; Pregnant Women ; Exercise ; Fetus ; Mental Health