Analysis of risk factors for sleep disorders in pregnant women in the third trimester and establishment of prediction model

Objective To explore the risk factors for sleep disorders in late pregnancy pregnant women, and establish predictive nomogram.

Methods A total of 319 pregnant women in late pregnancy were selected, and were divided into sleep disorder group (n=131) and non-sleep disorder group (n=188) based on whether they experienced sleep disorders in late pregnancy. Logistic regression analysis was applied to screen for risk factors of sleep disorders in late pregnancy pregnant women; R software was applied to establish a nomogram for predicting sleep disorders in late pregnancy pregnant women. Receiver operating characteristic (ROC) curve, calibration curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the efficacy of the nomogram in predicting sleep disorders in third trimester pregnant women.

Results Out of 319 late pregnancy pregnant women, 131 had sleep disorders, accounting for 41.07%. Logistic regression analysis showed that history of spontaneous abortion (95%CI, 2.120 to 8.703, P < 0.001), anxiety (95%CI, 1.644 to 5.313, P < 0.001), depression (95%CI, 2.169 to 7.477, P < 0.001), alcohol consumption in the first six months of pregnancy (95%CI, 1.690 to 5.828, P < 0.001), pregnancy complications or complications (95%CI, 1.610 to 4.851, P < 0.001), video time at bed before sleep >0.5 h (95%CI, 1.069 to 3.192, P=0.028) were independent risk factors for sleep disorders in third trimester pregnant women. The area under the ROC curve was 0.788(95%CI, 0.739 to 0.838). The slope of the calibration curve was close to 1, and the Hosmer-Lemeshow goodness of fit test showed a better results (χ²=6.055, P=0.417).

Conclusion Pregnant women in late pregnancy have a higher incidence of sleep disorders. Patients with a history of natural abortion, anxiety, depression, drinking alcohol within six months before pregnancy, pregnancy comorbidities or complications, and video time >0.5 h at bed before sleep are independent risk factors. The nomogram model based on these 6 independent risk factors can help predict the occurrence of sleep disorders in pregnant women in the third trimester.