Objective To assess and report on the current situation of the families of students, who were involved in the Wenchuan earthquake, to provide data for the government to make decisions that should help with recovery from the earthquake. Methods We selected 2 towns and 4 villages using stratified sampling to take account of different levels of destruction. We performed on-site surveys and secondary research. Results The psychological problems of the parents of the students were serious. These families’ economic situations were not good. Conclusion We should build ‘Mutual Aid’ organization and take the advantage of rural hospitals to promote the long-acting mechanism of the psychological intervention.
The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches.
ObjectiveTo compare and observe the changes in choroidal thickness between healthy pregnant women and healthy non-pregnant women.MethodsA prospective clinical study. From January 2019 to August 2019, healthy pregnant women (pregnant women group) and healthy non-pregnant women age-matched were enrolled during the same period (the normal group) in the obstetrics of Zhuji People's Hospital. All patients were enrolled with their right eyes. Frequency-domain OCT-enhanced depth imaging technology was used to measure the subfoveal macular and 1000 μm above, below, nasal, and temporal choroidal thickness and foveal retinal thickness (CMT). The choroidal thickness and CMT of the pregnant women group and the normal group were compared by t test, and the choroidal thickness and CMT of the normal group and the eyes of different gestational weeks were compared by one-way analysis of variance.ResultsThe pregnant women group and the normal group included 161 patients (161 eyes) and 40 patients (40 eyes). According to the different gestational weeks, the pregnant women were divided into the first trimester group, the second trimester group, and the third trimester group, with 47 patients (47 eyes), 66 patients (66 eyes), and 48 patients (48 eyes) respectively. There was no significant difference in age, axial length, intraocular pressure, and CMT between the different gestational week groups and the normal group (F=1.433, 1.558, 0.416, 2.288; P＞0.05). The subfoveal choroidal thickness (SFCT) of the pregnant women group and normal group were 317.7±73.9 μm and 279.7±44.1 μm, respectively, and the difference was statistically significant (t=3.113, P=0.002). Compared with the normal group, the choroid at the upper, lower, nasal, and temporal sides of the pregnant group 1000 μm from the fovea was thickened. The difference between the upper, nasal and temporal sides was statistically significant (t=2.699, 3.474, 2.595; P＜0.05). The SFCT of the eyes in the first trimester group, the middle group, and the late group were 305.8±72.3, 327.7±69.8, 315.8±80.5 μm, respectively. Compared with the normal group, the difference was statistically significant (F=4.180, P=0.007). Pairwise comparison between the two groups, the second trimester group was significantly different from the normal group (P=0.003). There was no significant difference among the first trimester group、the third trimester group and the other groups (P＞0.05).ConclusionThe choroidal thickness of pregnant women is thicker than normal, and the choroidal thickness in the second trimester reaches the maximum value; while the macular CMT during pregnancy has no significant change.
ObjectiveTo construct and verify the nomogram prediction model of pregnant women's fear of childbirth. MethodsA convenient sampling method was used to select 675 pregnant women in tertiary hospital in Tangshan City, Hebei Province from July to September 2022 as the modeling group, and 290 pregnant women in secondary hospital in Tangshan City from October to December 2022 as the verification group. The risk factors were determined by logistic regression analysis, and the nomogram was drawn by R 4.1.2 software. ResultsSix predictors were entered into the model: prenatal education, education level, depression, pregnancy complications, anxiety and preference for delivery mode. The areas under the ROC curves of the modeling group and the verification group were 0.834 and 0.806, respectively. The optimal critical values were 0.113 and 0.200, respectively, with sensitivities of 67.2% and 77.1%, the specificities were 87.3% and 74.0%, and the Jordan indices were 0.545 and 0.511, respectively. The calibration charts of the modeling group and the verification group showed that the coincidence degree between the actual curve and the ideal curve was good. The results of Hosmer-Lemeshow goodness of fit test were χ2=6.541 (P=0.685) and χ2=5.797 (P=0.760), and Brier scores were 0.096 and 0.117, respectively. DCA in modeling group and verification group showed that when the threshold probability of fear of childbirth were 0.00 to 0.70 and 0.00 to 0.70, it had clinical practical value. ConclusionThe nomogram model has good discrimination, calibration and clinical applicability, which can effectively predict the risk of pregnant women's fear of childbirth and provide references for early clinical identification of high-risk pregnant women and targeted intervention.
Objective To provide evidence for establ ishing a health care system for pregnant women after disasters by evidence-based evaluation on the comparison of programs in different countries of the world. Methods We electronically searched The Cochrane Library (Issue 2, 2008), MEDLINE (1966 to June 2008), EMbase (1984 to June 2008), VIP ( 1989 to June 2008), CBM ( 1978 to June 2008), Wangfang database (1997 to June 2008), CNKI (1994 to June 2008) and handsearched Journals such as Chinese Journal of Obstetrics and Gynecology to identify l iteratures and guidel ines on pregnant women healthy care system after calamity. The qual ity of l iteratures and guidel ines was assessed. Results A total of 293 studies were searched, of which 25 studies were identified with the focuses on the consequence of pregnancy, development of fetus and first-aid of injuries of pregnant women. We found the studies on pregnant women’s health care were l imited, and most of them were retrospective and cohort studies, which was related to the paroxysmal ity, rarity and complexity of the disaster.? Conclusions The high proportion of pregnant women among displaced persons underscores the importance of examining how behavioral changes and difficulties in access to health care influencing the maternal and infant health, which needs comprehensive planning and arrangement.
ObjectiveTo evaluate liver perfusion in pregnant women with hepatitis between 13 and 41 weeks of gestation by three-dimensional color power Doppler angiography (3D-CPA) vascular indexes. MethodsThis study involved 73 pregnant women with hepatitis and 44 healthy pregnant women who had the pregnancy examination between February 2012 and June 2013. We sampled in the area which was near the right lobe of the pregnant women liver's portal vein branch, and obtained the vascularization index (VI), flow index (FI) and vascularization flow index (VFI) via the virtual organ computer-aided analysis (VOCAL) method. Then, we compared the liver perfusion differences between the pregnant women with hepatitis and healthy pregnant women. ResultsThe hepatic flow indexes obtained by 3D-CPA were significantly different between the HBV-DNA viral load and the control groups. The cutoff values of the three vascular indexes of patients with hepatitis with HBV-DNA viral load and the healthy pregnant women were respectively VI=8.760 (P<3×10-4); FI=22.180 (P<6×10-7); and VFI=1.575 (P<3×10-5). ConclusionApplication of the 3D-CPA on liver perfusion may differentiate pregnant women with hepatitis B from normal ones, thus offer a support for clinical prevention and treatment for pregnant women with hepatitis B.