Objective To explore the clinical signiifcance of combined detection of thyroid stimulating hormone (TSH) and free thyroxin (FT4) in dried blood spots in screening for congenital hypothyroidism (CH) in neonates. Methods The TSH and FT4 levels in dried blood spot were measured by time-resolved lfuorescence immunity in live born neonates from June to December 2013. If the screening was positive, the blood was drawn and the serum TSH and FT4 were measured and compared with the results from dried blood spots. Results In a total of 31 199 neonates screened, 12 cases were diagnosed with CH and the prevalence rate of CH was 1/2 600;4 cases were hyperthyropinemia and no pituitary CH was detected. There was no signiifcant difference between TSH or FT4 levels in dried blood spot and those in serum in neonates diagnosed with CH (P>0.05). Conclusions Combined detection of TSH and FT4 in dried blood spot can be used for neonatal screening of CH. It can be applied for early distinguishing CH from hyperthyropinemia, and also helpful for early diagnosis and treatment of central CH.

Objective:To analyze the maternal gestational weight gain (GWG) in women with pre-pregnancy obesity and its relationships with adverse pregnancy outcomes.Methods:This retrospective cohort study recruited 513 obese women (pre-pregnancy body mass index ≥30 kg/m 2) with singleton pregnancy in Beijing Obstetrics and Gynecology Hospital, Capital Medical University from January 2014 to December 2016. All participants were divided into three groups according to GWG: inadequate (GWG<5 kg, n=83), adequate (5 kg≤GWG≤9 kg, n=154), and excessive (GWG>9 kg, n=276) groups. Chi-square test, Fisher's exact test, Kruskal-Wallis test, and Mann-Whitney U test were used to compare the clinical data among the three groups, including GWG, pregnancy and neonatal outcomes, and labor process. Multivariate logistic regression was performed to analyze the association between maternal GWG and main pregnancy complications associated with obesity. Results:(1) Among 238 participants who gained more than 2.0 kg in the first trimester, 75.6% (180/238) were in the excessive group, while the rate was 34.9%(96/275) among the participants who gained less than 2.0 kg. (2) Postpartum body mass index retention (body mass index at six weeks postpartum minus pre-pregnancy body mass index) was the highest in the excessive group, followed by the adequate group and the inadequate group [0.8 kg/m 2 (0.0-2.2 kg/m 2) vs -0.7 kg/m 2 (-1.6 to 0.0 kg/m 2) vs -2.5 kg/m 2 (-3.2 to -1.5 kg/m 2), all P<0.05]. (3) The rates of primary cesarean section in the inadequate and adequate groups were 29.9% (20/67) and 32.6% (42/129), which were lower than that in the excessive group [43.3% (104/240), χ2=3.955 and 4.047, both P<0.05]. There were no statistically significant differences in the incidence of gestational hypertension, small/large for gestational age, or other major adverse pregnancy outcomes among the three groups (all P>0.05). The weight gain in the first trimester and before the oral glucose tolerance test were not correlated with gestational diabetes mellitus (GDM) ( aOR=1.038, 95% CI: 0.986-1.094, P=0.157; aOR=1.055, 95% CI: 1.000-1.113, P=0.051). The maternal weight gain of women with GDM during the 2nd, the 3rd, and the whole trimesters were lower than women without GDM respectively [3.0 kg (1.3-4.0 kg) vs 3.0 kg (2.0-5.0 kg), 4.0 kg (2.0-6.0 kg) vs 6.0 kg (4.0-8.0 kg), 9.0 kg (5.0-12.0 kg) vs 10.7 kg (7.5-15.0 kg); Z =-2.938, -6.352 and-4.104, all P<0.01]. Conclusions:In women with pre-pregnancy obesity, the first trimester is the critical window to control maternal GWG. GWG guidelines recommended by the Institute of Medicine could help to reduce the weight retention at six weeks postpartum, but couldn't reduce the risk of GDM, gestational hypertension, small/large for gestational age, or other major adverse pregnancy outcomes.

Objective: To investigate the effects of major family structure changes on depression, anxiety and stress symptoms of college students, and to provide theoretical basis for mental health promotion and prevention. Methods: A questionnaire survey was conducted among 9 779 college students from 6 universities, including Jiangxi University of Finance and Economics, Shangrao Normal University, Gannan Normal University, Fujian Polytechnic Normal University, and Changjiang University, by using the Depression, Anxiety and Stress Scale 21 Items (DASS 21). Results: The prevalence rates of depression, anxiety and stress symptoms among college students were 27.4%, 42.0% and 17.4%, respectively. Univariate analysis showed that family structure was associated with anxiety and stress symptoms ( χ 2=8.40,13.08, P <0.05). Multivariate Logistic regression analysis showed that specific family structure other than single or two parent family was positively correlated with anxiety( OR =1.89,95% CI =1.05- 3.42 ) and stress symptoms ( OR =2.48, 95% CI =1.36-4.50), family structure changes due to parental divorce was positively correlated with stress symptoms ( OR =1.53,95% CI =1.05-2.20)( P <0.05). Conclusion The occurrence of depression, anxiety and stress symptoms of college students is related to the type of family structure and the changing factors. Colleges should pay more attention to the mental condition of college students with family structure changes, and deliver various mental health promotion services including psychological counseling and health education.

OBJECTIVETo analyze the distribution characteristics of hirsutism and the law of meridian differentiation in polycystic ovarian syndrome (PCOS).

METHODSFor the patients of PCOS, the modified Ferriman-Gallwey score (mF-G score) was adopted to evaluate the hirsutism distribution. The clementine data mining software was used to analyze the distribution region of hirsutism and the correlation with meridian.

RESULTSA total of 141 patients of PCOS participated in the study. The most common regions of hirsutism were in the upper lip (50.35%) and the lower abdomen (34.04%). The higher frequencies of hirsutism at two regions were at the upper lip and lower abdomen (24.82%), the upper lip and chest (12.06%) and the upper lip and thigh (11.35%). In the analysis on the correlation of the upper lip, lower abdomen and chest with other regions, hirsutism was more common in the nearby regions. In reference to the running course of meridian, the frequencies of hirsutism from high to low were the conception vessel (63.12%), the thoroughfare vessel (61.70%), the liver meridian of foot-(58.16%) and the stomach meridian of foot-(57.45%). According to:-, the high incidence of hirsutism (59.57%） resulted from the change ofand blood inmeridian. .

CONCLUSIONBlood plays the important role in the growth of body hair. Regarding theattribution, the incidence of hirsutism at theregions is higher than theregions. The occurrence of hirsutism is closely related toand blood changes in meridians. The conception vessel, the thoroughfare vessel, the liver meridian of foot-andmeridian act highly on the disease.

Objective:To explore the characteristics of weekly gestational weight gain (GWG) in women with obesity and its correlation with the risk of macrosomia.Methods:Clinical data of women with singleton pregnancy and pre-pregnancy body mass index (PPBMI) ≥28 kg/m 2 were retrospectively analyzed, from January 2014 to December 2019, in Beijing Obstetrics and Gynecology Hospital, Capital Medical University (Beijing Maternal and Child Health Care Hospital). The participants were divided into three groups based on their PPBMI: group A (28-<30 kg/m 2), group B (30-<32 kg/m 2), and group C (≥32 kg/m 2). The study compared the characteristics of GWG among the three groups, explored the correlation between the weekly weight gain during each gestational stage and the risk of macrosomia, and discussed the impacts of the GWG pattern in women with different PPBMI on the risk of macrosomia. Chi-square (or Fisher's exact), Kruskal-Wallis, and Mann-Whitney U tests were performed for statistical analysis. Multivariate logistic regression was used to analyze the impact of weekly weight gain in specific gestational stages on macrosomia. Results:(1) A total of 2 046 participants were included in the study, with 982 in group A, 588 in group B, and 476 in group C. For all of the 2 046 cases, the median PPBMI was 30.1 kg/m 2 (29.0-31.9 kg/m 2), GWG was 10.5 kg (7.3-14.0 kg), and neonatal birth weight was 3 520 g (3 215-3 816 g) with 60 (2.9%) ≥4 500 g, and the biggest baby weighed 5 580 g. Out of the births analyzed, macrosomia occurred in 318 cases (15.5%). (2) Among the three groups (A, B and C), the differences in maternal age [32.0 years (29.0-35.0 years), 32.0 years (29.0-35.0 years) and 32.0 years (29.0-34.0 years), H=6.58] and women with a history of type 2 diabetes mellitus [0.9% (9/982), 0.3% (2/588) and 1.9% (9/476), χ2=6.61] were statistically significant (all P<0.05). (3) The weekly weight gain in each group exhibited a gradual upward trend before 20-24 weeks, reached a plateau at 24-32 weeks, peaked at 32-36 weeks, and subsequently declined. The weekly weight gain of group A in the pre-pregnancy to 14 weeks [0.14 kg/week (0.00-0.25 kg/week)], 14 to 20 weeks [0.25 kg/week (0.17-0.42 kg/week)], and 20 to 24 weeks [0.38 kg/week (0.25-0.63 kg/week)] were higher than those of group B [0.07 kg/week (－0.03-0.21 kg/week), 0.25 kg/week (0.10-0.42 kg/week), and 0.38 kg/week (0.22-0.60 kg/week)], respectively ( Z value was－3.73,－2.16, and－2.01, all P<0.05). Likewise, the weekly weight gain of group B in the above three stages were all higher than those of group C [0.07 kg/week (－0.10-0.21 kg/week), 0.17 kg/week (0.05-0.33 kg/week), and 0.25 kg/week (0.08-0.50 kg/week)], respectively ( Z value was－2.55,－3.28, and－3.25, all P<0.05). (4) The risk of macrosomia increased with the weekly weight gain in specific gestational stages in different PPBMI groups. In group A, the stages correlated with increased risk were 14-20 weeks [adjusted odd ratio ( aOR)=2.669, 95% CI: 1.378-5.169] and 20-24 weeks ( aOR=1.764, 95% CI: 1.143-2.723), while the stages were 20-24 weeks ( aOR=2.149, 95% CI: 1.156-3.996) and 36 weeks until delivery ( aOR=1.888, 95% CI: 1.268-2.810) in group B, and pre-pregnancy to 14 weeks ( aOR=3.515, 95% CI: 1.158-10.665) and 14-20 weeks ( aOR=3.021, 95% CI: 1.058-8.628) in group C (all P<0.05). The risk of macrosomia increased when the weekly weight gain of both risk-related stages in group A ( aOR=2.255, 95% CI: 1.029-4.940) ≥50th percentile, and group B ( aOR=4.399, 95% CI: 1.017-19.023) ≥75th percentile, and for group C ( aOR=3.404, 95% CI: 1.004-11.543) when the weekly weight gain above 25th percentile (all P<0.05). Conclusions:Weekly GWG demonstrates an observable gradual acceleration pattern in women with obesity. Therefore, clinical attention should be directed towards monitoring fluctuations in the weekly weight gain in this population, as excessive weekly weight gain before 24 gestational weeks is associated with an elevated risk of macrosomia.