👤 Zhang Jiayuan

High-risk pregnancy requires effective self-management strategies to prevent adverse outcomes. Understanding the heterogeneity in pregnant women's self-management behaviors through latent profile analysis (LPA) may inform targeted interventions. We sought to identify latent profiles of self-management behaviors among women with high-risk pregnancies and examine their associations with adverse pregnancy outcomes. A cross-sectional study was conducted among high-risk pregnant women recruited from 2 tertiary maternal and child health hospitals in Heilongjiang, China. A total of 503 eligible participants completed questionnaires assessing demographic characteristics, clinical features, self-management behaviors, and preconception health behaviors. LPA was performed to identify distinct self-management patterns. Logistic regression analysis examined the influencing factors of profiles, and chi-squared tests were applied to examine differences in adverse pregnancy outcomes across profiles. Three distinct latent profiles were identified: "high-engagement type" (38.6%), "compliant executors" (36.4%), and "low-engagement type" (25.0%). Factors associated with class membership included preconception health behaviors, residential location, educational level, and history of chronic diseases. High-engagement type demonstrated significantly lower rates of adverse pregnancy outcomes than other classes. Women with high-risk pregnancies exhibit distinct patterns of self-management behaviors. Women classified as high-engagement type show superior pregnancy outcomes, suggesting the importance of comprehensive self-management interventions targeting all behavioral dimensions. Show less

In China there are approximately 100 pig breeds, which show great diversity in their appearance. However, information on genome selection signatures, such as spine curvature, is scarce. Therefore, we used the fixation index (F Show less