Health Crowding-Out Effect of Family Migration on First Cohort Migrant Workers: An Empirical Analysis.

In the dynamic panorama of China's shifting social mobility, characterized by a transition from individual to family mobility, the migration of the first cohort of migrant workers and their families has taken center stage. However, the scholarly discourse on how family migration influences the health of migrant workers remains contentious. This study uses data from the China Migrants Dynamic Survey (CMDS) of 2017 to focus on the first cohort of migrant workers. Drawing on the theories of family stress and life course, the empirical analysis incorporated heterogeneity tests, total effects, robustness tests, mediation effects, and propensity score matching to explore the mechanisms underlying the impact of family migration on migrant workers' health. Data analysis reveals a substantial negative impact of family migration on the health status of the first cohort of migrant workers. Variations in health outcomes were identified across different family migration patterns. Further analysis indicates that the first cohort of migrant workers, when confronted with family livelihood pressures, tends to prioritize economic resources to support urban family life over their own health. This is because they are influenced by a family-centered culture. Our findings reveal a nuanced landscape. While family migration provides potentially enhances social support systems, it also imposes significant health trade-offs due to increased life stressors. These stressors include economic instability, increased responsibility for family care, and the psychological impacts of adapting to new urban environments. There are the health crowding-out effect of family migration on first cohort migrant workers.

Comparison Between Thromboelastography and Conventional Coagulation Tests in Surgical Patients With Localized Prostate Cancer.

We aimed to examine hypercoagulable and hypocoagulable conditions in patients with prostate cancer using thromboelastography (TEG) and correlate TEG parameters with conventional coagulation test. The t test was used for comparing TEG parameters and routine coagulation results. Spearman rank-order correlation was used to describe the relationship of TEG and conventional tests. Sensitivity, specificity, positive predictive values, and negative predictive values were determined for bleeding and thrombosis. Totally, 20 patients had active bleeding postoperatively, 16 of whom showed hypocoagulation on TEG test and 9 of whom showed hypocoagulation by routine coagulation test ( P = .024). Overall, 60 patients did not have active bleeding postoperatively, 51 of whom showed hypercoagulation detected by TEG test and 42 of whom showed hypercoagulation found by routine coagulation test ( P = .040). Remarkably, patients had a little higher fibrinogen (FIB) compared to controls. There was no statistical difference in any of the conventional coagulation indexes between the groups. Correlation analysis showed that reaction time (R) and coagulation time (K) were positively correlated with the prothrombin time-international normalized ratio (PT-INR) and negatively correlated with FIB ( P < .001). Contrarily, α-angle and maximum amplitude (MA) were negatively correlated with PT-INR but positively correlated with FIB. Significantly, MA showed the strongest correlation with FIB and R exhibited the strongest correlation with PT-INR. Sensitivity and specificity for bleeding and thrombosis in TEG were higher than those in conventional coagulation test. Accordingly, TEG might be superior in evaluating hypercoagulation and detecting the risk of bleeding in patients with prostate cancer.