2.Depression symptoms and influencing factors in early pregnant women in China
Sanan WU ; Yunli CHEN ; Yahui FENG ; Yawen WANG ; Shuya CAI ; Yongle ZHAN ; Yingjie SHI ; Liangkun MA ; Yu JIANG
Journal of Public Health and Preventive Medicine 2020;31(3):54-58
Objective To analyze the prevalence of depression in early pregnancy, explore its possible influencing factors, and provide reference for mental health care during pregnancy. Methods A baseline survey of 9 193 early pregnant women recruited by the Chinese Pregnant Women Cohort Study (CPWCS) program was conducted. Edinburgh Postnatal Depression Scale was used to assess the depression symptoms in early pregnancy. The χ2 test and multivariable logistic regression were used to analyze the influencing factors. Results The rate of depression in early pregnant women in CPWCS was 46.50%. Multivariate analysis showed that unplanned pregnancy (OR=1.23, 95%CI: 1.12~1.35, P<0.001), passive smoking (OR=1.28, 95%CI: 1.18~1.39, P<0.001), drinking (OR=1.35, 95%CI: 1.12~1.63, P=0.002) and consumption of carbonated or sugary beverages (OR=0.80, 95%CI: 0.73~0.88, P<0.001) were risk factors for depression during early pregnancy, while enough sleep (OR=0.71, 95%CI: 0.57~0.88, P=0.002), moderate-high level of physical activity (OR=0.87, 95%CI: 0.78~0.98, P=0.023), healthy intake of vegetables and fruits(OR=0.60, 95%CI: 0.51~0.70, P<0.001), animal foods(OR=0.82, 95%CI: 0.74~0.91, P<0.001) and milk and dairy products(OR=0.81, 95%CI: 0.72~0.90, P<0.001)were protective factors. Conclusion The rate of depression was high and it was affected by many factors. It is necessary to pay more attention to depression symptoms during early pregnancy and carry out targeted psychological health care during pregnancy.
3. Analysis of oral health care behavior and associated factors among women in the 1st trimester
Sansan WU ; Shuai MA ; Zhongzhou SHEN ; Yahui FENG ; Yawen WANG ; Yongle ZHAN ; Yunli CHEN ; Yingjie SHI ; Liangkun MA ; Yu JIANG
Chinese Journal of Health Management 2019;13(6):504-509
Objective:
To explore oral health care behavior and related factors among women in their 1st trimester.
Methods:
Our analysis included 7 014 women in their 1st trimester aged 16 years or above from the baseline survey of the Chinese Pregnant Women Cohort Study (CPWCS). Data on socio-demographic characteristics and oral health care behavior were collected using an electronic questionnaire. Multiple-factors Logistic regression was used to analyze factors associated with oral health care behavior.
Results:
The results revealed that 5 134 (73.20%), 2 482 (35.39%), and 1 046 (14.91%) pregnant women brushed their teeth twice a day or more, never had an oral examination, and used special oral care products for pregnant women, respectively. The frequency of brushing teeth and oral examination was positively associated with age and annual household income. Compared to unemployed pregnant women with rural registered residences and low education levels, highly educated and employed pregnant women with city registered residences had a higher frequency of brushing teeth and undergoing oral examination. Pregnant women with depressive symptoms had a lower frequency of brushing teeth (
4.Analysis on the economic burden of maternal health care of 9 193 women during early pregnancy in China
Yongle ZHAN ; Shuya CAI ; Yawen WANG ; Sansan WU ; Yahui FENG ; Yunli CHEN ; Yingjie SHI ; Liangkun MA ; Yu JIANG
Journal of Public Health and Preventive Medicine 2020;31(1):29-33
Objective To understand the status of economic burden of maternal health care of pregnant women in China, and to discuss the equity and accessibility of maternal health care during pregnancy among different regions and populations. Methods A total of 9 193 women during early pregnancy were recruited from the Chinese Pregnant Women Cohort Study between July 25, 2017 and November 26, 2018. Information on general condition and economic burden of maternal health care was surveyed. SPSS 25.0 software was used for statistical analysis. Results The median direct medical cost of maternity check-ups for pregnant women was 400 CNY per visit, and the median cost of lost work was 360 CNY per visit. The analysis of the results showed that the median medical expense was highest in pre-pregnant women with BMI <18.5kg/m2 (P=0.008). The median medical expense was higher in urban residents than rural residents (P<0.001). Families with fewer members had higher direct medical expenses (P<0.001, Ptrend=0.003). The higher the socioeconomic status was, the higher the direct medical expense was (P<0.001, Ptrend=0.003). The cost of lost work was lower in pregnant women with higher socioeconomic status (P=0.025, Ptrend=0.017). In addition, the medical expense was highest in women living in the eastern part of China (P<0.001). The direct medical expenses (P=0.002) and lost-time expenses of pregnant women in the North were higher than those in the South (P=0.013). Conclusion The problem of equity and accessibility of maternal health care still existed. It is recommended that relevant departments further improve maternal health care services and build a diversified healthcare service system to ensure maternal and child health and promote eugenics.
5.Prostate health index can stratify patients with Prostate Imaging Reporting and Data System score 3 lesions on magnetic resonance imaging to reduce prostate biopsies.
John Shung-Lai LEUNG ; Wai-Kit MA ; Brian Sze-Ho HO ; Stacia Tsun-Tsun CHUN ; Rong NA ; Yongle ZHAN ; Chi-Yuen NG ; Chi-Ho IP ; Ada Tsui-Lin NG ; Yiu-Chung LAM
Asian Journal of Andrology 2023;26(1):20-24
We aim to evaluate prostate health index as an additional risk-stratification tool in patients with Prostate Imaging Reporting and Data System score 3 lesions on multiparametric magnetic resonance imaging. Men with biochemical or clinical suspicion of having prostate cancer who underwent multiparametric magnetic resonance imaging in two tertiary centers (Queen Mary Hospital and Princess Margaret Hospital, Hong Kong, China) between January 2017 and June 2022 were included. Ultrasound-magnetic resonance imaging fusion biopsies were performed after prostate health index testing. Those who only had Prostate Imaging Reporting and Data System score 3 lesions were further stratified into four prostate health index risk groups and the cancer detection rates were analyzed. Out of the 747 patients, 47.3% had Prostate Imaging Reporting and Data System score 3 lesions only. The detection rate of clinically significant prostate cancer in this group was 15.0%. The cancer detection rates of clinically significant prostate cancer had statistically significant differences: 5.3% in prostate health index <25.0, 7.4% in prostate health index 25.0-34.9, 17.9% in prostate health index 35.0-54.9, and 52.6% in prostate health index ≥55.0 (P < 0.01). Among the patients, 26.9% could have avoided a biopsy with a prostate health index <25.0, at the expense of a 5.3% risk of missing clinically significant prostate cancer. Prostate health index could be used as an additional risk stratification tool for patients with Prostate Imaging Reporting and Data System score 3 lesions. Biopsies could be avoided in patients with low prostate health index, with a small risk of missing clinically significant prostate cancer.
6. Risk factors for preterm birth, low birth weight and small for gestational age: a prospective cohort study
Zhongzhou SHEN ; Yawen WANG ; Shuai MA ; Yongle ZHAN ; Sansan WU ; Yahui FENG ; Shuya CAI ; Liangkun MA ; Yu JIANG
Chinese Journal of Epidemiology 2019;40(9):1125-1129
Objective:
To study the relationship between exposure factors in early pregnancy and preterm birth (PB), low birth weight (LBW) and small for gestational age (SGA) of neonates.
Methods:
A total of 3 172 pregnant women who were enrolled in the project of Chinese Pregnant Women Cohort Study-Peking Union Medical College (CPWCS-PUMC) from July 25, 2017 to July 24, 2018 and delivered before December 31, 2018 were selected as subjects in this study. The relationship between exposure factors in early pregnancy and adverse outcomes of neonatal delivery was analyzed by using binary logistic regression analysis.
Results:
The incidence rates of PB, LBW and SGA were 4.76