Purpose: This study attempted to detect the changes of cervical cancer screening rate and willingness among female migrants, and the associated socio-demographic factors in Shenzhen city. Materials and Methods: Two citywide surveys were conducted using a multistage random cluster sampling method in 2011 and 2014, respectively. Data on demographic characteristics, screening participation, and willingness to screen were collected. Logistic regression models were applied to detect possible associated socio-demographic characteristics, and their variations with survey years. Results: In total, 12,017 female migrants were enrolled, with a mean age (standard deviation) of 36.73 (6.55) years. From 2011 to 2014, the screening rate increased (25.8% vs. 35.1%, p < 0.001), while the willingness to screen remained stable (82.2% vs. 82.8%, p=0.46). Overall, socio-demographic characteristics of female migrants, including age, marital status, education, monthly income, employment, and medical insurance, were found to be positively associated with screening participation. Similar impacts in relation to willingness were observed except for age. However, these associations varied with survey years, mainly in the contributions of education and monthly income to screening participation, as well as age, monthly income, and medical insurance to willingness of being screened. Conclusion Identifying changes of associated socio-demographic factors precisely is warranted of necessity, which provides novel clues to adjust targeted actions regularly in promoting cervical cancer screening participation among female migrants in Shenzhen.

Objective To explore the correlation between social support and pregnancy depression in Shenzhen. Methods From August 2018 and June 2020, a structured questionnaire survey was conducted among pregnant women who underwent pregnancy examination in a 3A-grade maternal & child health care hospital. A total of 1 396 questionnaires with complete information were collected. Chi-square test and Wilcoxon rank sum test were used to analyze the baseline characteristics. The odds ratio (OR) and 95% CI confidence interval between social support and pregnancy depression were estimated using logistics regression model. Subgroup analysis was also conducted. Results There were statistically significant differences in education level, medical insurance rate, household registration, family monthly income, proportion of multiparas, proportion of husbands being the only child, pregnancy stress and social support between the depression group and non-depression group. After multi-factors adjustment, the OR (95% CI) of the total social support score was 0.97(95%CI 0.95-0.99), the OR (95% CI) of the objective support dimension was 0.90(95% CI 0.87-0.94), and the P value of the interaction term multiplied by pregnancy term was less than 0.05. According to the stratified analysis of pregnancy, the total score of social support was significantly correlated with the depression status only in the third trimester, with an OR (95% CI) of 0.97 (95% CI 0.94-0.99). The objective support dimension was significantly correlated with depression status in the first and third trimesters, and the OR (95% CI) was 0.78 (95% CI 0.61-0.99) and 0.89 (95% CI 0.84-0.94), respectively. The OR of support utilization score in the third trimester was 0.91 (95% CI 0.83-0.99). Conclusion Social support was negatively correlated with depression during pregnancy and was particularly important in the third trimester. Various dimensions of social support were differentially correlated with pregnancy depression in each trimester. The objective support dimension was particularly important in the first and third trimesters.