Objective To investigate the main dietary patterns of children in urban areas of Maanshan City, and to explore the association between dietary patterns and subthreshold autism trait (SAT), attention-deficit/hyperactivity disorder (ADHD) symptoms and comorbid behaviors in 3-year-old children. Methods Based on the birth cohort of Maanshan Maternal and Infant Health from June 2015 to June 2016，regular physical examinations were conducted from 4 to 2 to 1, and follow-up was conducted until the age of 3. A semi-quantitative food frequency questionnaire was employed to assess dietary intakes. SAT and ADHD symptoms were assessed by Clancy autism behavior scale (CABS) and the 10-item Chinese version of the Conners Abbreviated Symptom Questionnaire (C-ASQ). Social-demographic information was also collected. Results The detection rates of SAT, ADHD symptoms, and comorbidity were 11.03%, 5.28%, and 2.71%, respectively. The older the father, the higher the mother's education level, and the higher the per capita monthly income of the family, the lower the SAT detection rate (P<0.05). The higher the father's educational level, the lower the detection rate of ADHD symptoms (P<0.05). The older the mother and the higher the education level, the lower the detection rate of comorbid behavior in their children (P <0.05). After adjusting for demographic influencing factors, the low intake level was used as a reference. The vegetarian type with moderate intake level was negatively correlated with SAT, while the processed food type with high intake level was positively correlated with SAT. The vegetarian type with high intake level was negatively correlated with ADHD symptoms, while the snack type with high intake level was positively correlated with ADHD symptoms. The vegetarian type with high intake level was negatively correlated with comorbidity. Conclusion Unhealthy dietary patterns are related to children's SAT and ADHD symptoms. Correcting children's unhealthy eating patterns may help reduce children's behavior problems.

Objective:To explore the relationship between the maternal dietary patterns during pregnancy and the early childhood BMI change trajectory.Methods:The subjects were 1 241 pairs of pregnant women and their children in Ma'anshan maternal and infant health cohort. The food frequency questionnaire was used to collect the maternal diet data during pregnancy. The cohort children were followed up at birth, month 3, 6, 12, 18 and 24, respectively. The body height and weight data of the cohort children were collected. The principal component analysis was used to determine the categories of maternal dietary patterns during pregnancy, group-based multi-trajectory modeling was used to fit the early childhood BMI change trajectory, and the multiple classification logistic regression model was used to evaluate the relationship between the maternal dietary patterns during pregnancy and the early childhood BMI change trajectory.Results:The maternal dietary patterns during pregnancy included protein type, healthy type, vegetarian type, processing type and beverage type, which could explain 50.04% of the total dietary variation. Among them, the protein type, main dietary pattern, could explain 21.34% of the total dietary variation. The early childhood BMI change trajectory was from thinnish stature to average stature, then to mild obesity, accounting for 42.9%, 45.6% and 11.5% respectively. After controlling the potential confounding factors, it was found that there was a statistical correlation between healthy type and beverage type of maternal dietary patterns during pregnancy and early childhood BMI change trajectory ( P<0.05). Comparison of change trajectories between thinnish type and average stature type, children in the low-level group of healthy diet pattern tended to have a thinnish type change trajectory in early life ( OR=1.286, 95% CI: 1.002-1.651). Comparison of change trajectories between mild obesity type and average stature type, children in the high-level group of beverage diet pattern tended to have a mild obesity type change trajectory in early life ( OR=0.565, 95% CI: 0.342-0.935). The other dietary patterns had no statistical correlation with the early childhood BMI change trajectory. Conclusions:Maternal dietary patterns during pregnancy can affect the early childhood BMI change trajectory, and the low-level healthy type diet is an independent risk factor for thinnish type change trajectory, and the high-level beverage type diet is an independent risk factor for the mild obesity type change trajectory.

Objective:To analyze the associations between prenatal and 1-year-old exposure to antibiotics and allergic symptoms in children aged 6-11 months and 18-23 months.Methods:In this study, a prospective birth cohort study was adopted. A total of 2 122 pregnant women were enrolled in Maternal and Child Health Care Center of Ma′anshan from June 2015 to June 2016, and they were followed up from the beginning of pregnancy to children′s 24 months of age. Excluding 564 pairs of mothers and children who were lost to follow-up or with incomplete information on the use of antibiotics and children′s allergic symptoms, a total of 1 558 pairs of mothers and children were included in the analysis of this study. The parents and children′s general demographic information, early-life antibiotic exposure and other data were collected, the information about allergic symptoms in children aged 6-11 months and 18-23 months were investigated by reference to the "International Study of Asthma and Allergies in Childhood (ISAAC)". The univariate and multivariate binary unconditional logistic regression model was used to was used to estimate associations between the effects of early-life antibiotic exposure on allergic symptoms in 2-year-old children.Results:The antibiotic usage rate of pregnant women during pregnancy was 3.4% (53), and the antibiotic usage rates of children between 0 to 2 months, 3 to 5 months, and 6 to 11 months were separately 15.2%(237), 15.5%(242) and 17.3%(269). The total prevalence of allergic diseases in children aged 6 to 11 months was 24.1% (375 children), and the total prevalence of allergic diseases in children aged 18 to 23 months was 22.0% (342 children). After adjust parental (maternal) education level, family monthly income per capita, parental (maternal) allergy history, parental (maternal) age at pregnancy, mother′s Body Mass Index (BMI) before pregnancy, exposure to second-hand smoke during pregnancy, delivery method, child gender, birth weight, preterm birth, the use of antibiotics when children were 3-5 months old ( RR=1.61,95% CI:1.19-2.17) and 6-11 months old ( RR=1.43,95% CI:1.06-1.93) were the risk factors for allergic symptoms at 6-11 months of age; and the use of antibiotics when children were 0-2 months old (RR=1.41, 95% CI: 1.03-1.95), 3-5 months old ( RR=1.54, 95% CI: 1.12-2.11) and 6-11 months old ( RR=1.58, 95% CI: 1.17-2.14) were the risk factors for allergic symptoms at 18-23 months of age. Conclusion:Children′s exposure to antibiotics within 1 year of age was a risk factor for allergic symptoms in children aged 6-11 months and 18-23 months, children should avoid unnecessary antibiotic use in infancy.

Objective:To analyze the associations between prenatal and 1-year-old exposure to antibiotics and allergic symptoms in children aged 6-11 months and 18-23 months.Methods:In this study, a prospective birth cohort study was adopted. A total of 2 122 pregnant women were enrolled in Maternal and Child Health Care Center of Ma′anshan from June 2015 to June 2016, and they were followed up from the beginning of pregnancy to children′s 24 months of age. Excluding 564 pairs of mothers and children who were lost to follow-up or with incomplete information on the use of antibiotics and children′s allergic symptoms, a total of 1 558 pairs of mothers and children were included in the analysis of this study. The parents and children′s general demographic information, early-life antibiotic exposure and other data were collected, the information about allergic symptoms in children aged 6-11 months and 18-23 months were investigated by reference to the "International Study of Asthma and Allergies in Childhood (ISAAC)". The univariate and multivariate binary unconditional logistic regression model was used to was used to estimate associations between the effects of early-life antibiotic exposure on allergic symptoms in 2-year-old children.Results:The antibiotic usage rate of pregnant women during pregnancy was 3.4% (53), and the antibiotic usage rates of children between 0 to 2 months, 3 to 5 months, and 6 to 11 months were separately 15.2%(237), 15.5%(242) and 17.3%(269). The total prevalence of allergic diseases in children aged 6 to 11 months was 24.1% (375 children), and the total prevalence of allergic diseases in children aged 18 to 23 months was 22.0% (342 children). After adjust parental (maternal) education level, family monthly income per capita, parental (maternal) allergy history, parental (maternal) age at pregnancy, mother′s Body Mass Index (BMI) before pregnancy, exposure to second-hand smoke during pregnancy, delivery method, child gender, birth weight, preterm birth, the use of antibiotics when children were 3-5 months old ( RR=1.61,95% CI:1.19-2.17) and 6-11 months old ( RR=1.43,95% CI:1.06-1.93) were the risk factors for allergic symptoms at 6-11 months of age; and the use of antibiotics when children were 0-2 months old (RR=1.41, 95% CI: 1.03-1.95), 3-5 months old ( RR=1.54, 95% CI: 1.12-2.11) and 6-11 months old ( RR=1.58, 95% CI: 1.17-2.14) were the risk factors for allergic symptoms at 18-23 months of age. Conclusion:Children′s exposure to antibiotics within 1 year of age was a risk factor for allergic symptoms in children aged 6-11 months and 18-23 months, children should avoid unnecessary antibiotic use in infancy.

Objective:To investigate the developmental behavior of early term infants at 6 months and its difference from that of complete full-term infants.Methods:A healthy maternal and infant birth cohort in maanshan city, established in Maanshan Maternal and Child Health Hospital from June 2015 to June 2016. Birth outcomes were copied from the hospital electronic medical record system after delivery. The Chinese Ages and Stages Questionnaires was used to assess developmental behavior. The chi-square test and multivariate unconditional logistic regression model were used to analyze the differences in the behavioral development of early and full term infants.Results:The birth rate of early term infants was 24.74% (500/2 021). The detection rates of communication, gross motor, fine motor, problem solving and individual-social areas in early term infants were 2.1%, 3.2%, 6.1%, 6.3% and 2.7%, respectively. The detection rate of problem-solving area in early term infants was significantly higher than that in the full-term infants (6.3% vs. 3.7%, χ 2=5.42, P<0.05). After controlling for confounding factors, compared with full-term infants, the risk of problem-solving area in early infants was significantly increased ( OR=1.65, 95%CI:1.01-2.70, P<0.05). Conclusion:The risk of behavioral retardation in Early term infants is significantly higher than that in full-term infants, and long-term follow-up and appropriate early development promotion interventions are needed to improve their quality of life.

Objective To assess the association between early adiposity rebound (AR) and indices of obesity and metabolic risk in 5-year-old children. Methods Based on Ma’anshan Birth Cohort Study (MABC), single live births born in Ma'anshan of Anhui province from October 2013 to April 2015 were followed for up to 5 years consecutively. As of August 2019, 720 children with continuous measurements (≥8 times) and metabolic indicators were obtained. Physical examination and laboratory tests were used to obtain information on the birth status, length/height, weight, waist circumference, body composition and metabolic indicators of children. The 2 test, F test, t-test, non-parametric test, general linear model and logistic regression model were used for statistical analysis. Results 43.5% of the children had AR≤4 years. After controlling for gender, it was found that earlier AR was associated with overweight/obesity (OR=2.71, 95%CI: 1.81~4.05), larger waist circumference (OR=1.88, 95%CI: 1.25~2.82), and body fat percentage ≥90th percentile (OR=2.09, 95%CI: 1.26~3.48). In the earlier AR group, the insulin resistance and metabolic score were higher, but the difference was not statistically significant. At 5 years of age, the prevalence of obesity and overweight was 6.0% and 12.8%, respectively. Children with overweight/obesity, larger waist circumference, higher waist-to-weight ratio and body fat percentage ≥ 90th percentile were associated with higher insulin resistance and metabolic score, and all the differences were statistically significant (all P<0.001). Conclusion Earlier AR increased the risk of overweight/obesity, larger waist circumference, and body fat percentage ≥90th percentile at age of 5 years. Each index of the commonly used measures of childhood obesity was closely related with insulin resistance and metabolic risk factors at 5 years old.

Objective:To describe the epidemiological characteristics of mobile phone use in early pregnancy, and to explore the relationship between pregnancy mobile use and infant sleep-wake behavior.Methods:During February 2015 to August 2016, 2 212 subjects who had their first antenatal examination at Maanshan Maternity and Child Health Hospital were recruited in this cohort study and followed until postpartum for 6 months. Information of phone use was collected through questionnaire in the third trimester. There were 1 779 pregnant reported hours of mobile phone use in the questionnaire. A total of 1 951 parent reported the night-wake times. Data on night-wake behavior in infants was collected during the 6 months study. Questionnaires were completed by parents when taking the physical examination. More than 3 times per night was defined as the night-wake frequency. Unconditional multivariate logistic regression was applied to analyze the association of pregnancy time of mobile phone use and the infant night-wake frequencies.Results:In this cohort study, the average age of 2 212 pregnant women was (26.95±3.82) years, with 1 983 of them were followed up to the time of delivery. The incidence of night-wake frequency was 28.3 % (553/1 951) among these 6-month-old infants. After adjusted for feeding factors in the first trimester, frequencies of using the phone as "3 to 4 hour per day" and "5 hour and above per day" were both positively associated with the frequencies of night-wake behavior in infants. The adjusted OR (95 %CI) were 1.49 (1.07-2.07) and 1.79 (1.31-2.46), respectively. Conclusions:The mobile phone use during pregnancy was associated with night-wake of infants. Mobile phone should be rationally used during pregnancy.

Objective To understand the physical activity of early stage pregnant women and explore its influential factors. Methods From June 2015 to June 2016, 2122 pregnant women with early pregnancy card in Ma An Shan Maternal and Child Health Hospital were selected and surveyed with a questionnaire. The Physical Activity Questionnaire was used to understand the physical activity of pregnant women in their early pregnancy. Analysis of variance and t-test were used to describe the distribution of energy expenditures of physical activity of pregnant women with different demographic characteristics, and multiple linear regression analysis was used to analyze the factors influencing the energy expenditure of their physical activity. Result The duration of activities of sleep and sitting type was (16.56 ± 3.54) h, accounting for 83.38％of total activity time;the energy consumption value was (17.17±5.59) METs·h;mild physical activity time was (2.62±1.86) h, accounting for total time. 13.19％and the energy consumption value was (6.06±4.43) METs·h;the average time of moderate to severe physical activity was (0.68±0.93) h, accounting for 3.42％of total physical activity time, and the energy consumption value was (3.22±4.58) METs·h. In the univariate analysis, the energy expenditures of physical activity between the different groups (t=-3.551), education level (F=1.347), and occupation type (F=1.485) were different, and the difference was statistically significant (P<0.05). In multiple linear regression analysis, different occupational types and education were the energy expenditure levels of physical activity during early pregnancy. Influencing factors (P<0.05). Conclusion Pregnant women have longer periods of sleep and meditation during the first trimester, and shorter duration of physical activity than mild and above;the energy expenditure of physical activity during the first trimester of pregnancy is affected by the occupational type and educational level of the pregnant woman.

Objective To summarize the surgical experience gained from robotic mitral valve replacement (MVR), and demonstrate the long-term clinical follow-up results. Methods From Jan. 2007 to Jan. 2015, more than 700 patients underwent various types of robotic cardiac surgery in the Department the authors served in, and of them 43 patients underwent robotic MVR with da Vinci Surgical System (Intuitive Surgical, USA). Among the 43 patients, the average age was 47±11 years (ranged 19-65 years), and sex ratio (female to male) was 0.8:1. Six patients were with heart function of NYHA class Ⅰ, 30 patients were of NYHA class Ⅱ and 7 patients were of NYHA class Ⅲ. The left ventricular ejection fraction (LVEF) were 54%-78% (64.0%±7.1%), and 20 patients had atrial fibrillation on admission, and 35 patients were with rheumatic mitral stenosis (MS). Atrial septal defect (0.7cm in size) co-existed in 1 case and 1 patient had mild aortic regurgitation. Mechanical or bioprosthetic mitral valve was replaced via left atriotomy by using da Vinci robotic surgical system after cardiopulmonary bypass (CPB) set-up. Radiopaque titan clips was employed by Cor-Knot knot-tying device (LSI Solutions, Inc, Victor, NY) to anchor the prosthetic valve. Trans-esophageal echocardiography (TEE) was performed before and after surgery. The operative data were collected and patients were followed up at outpatient clinic regularly up to 6 years. Results All cases were performed successfully with the same surgery. No conversion to median sternotomy or operative mortality occurred. The average operation time was 292±62 minutes (ranged 140-450 minutes) with CPB time of 124±26 minutes and aortic occlusion time of 88±21 minutes. The postoperative mechanical ventilation support time was continued for 15±6 hours, and the average staying length in critical care unit was 4±1 days. No myocardial infarction, ventricular tachycardia or excessive bleeding was complicated. All patients were successfully followed up for a median of 3.5 years (ranged 1 month to 6 years). In the follow-up period, no incidence of death, stroke, re-operation due to prosthetic endocarditis or prosthetic failure was reported. However, 39.5% (n=17) patients still had atrial fibrillation after surgery. Conclusion Robotic MVR is a safe and effective procedure with excellent long term surgical outcome.

Objective To investigate the characteristics on the time of sunshine exposure in Chinese primary and middle school students.Methods A total of 43 771 primary and middle school students were randomly selected from 12 provinces in China.A self-reported questionnaire was used to understand their time of sunshine exposure on weekdays and weekends as well as related family information and behaviors.x2 test was used to compare the hours of sunshine exposure among different groups.Multivariate logistic regression analysis was conducted to identify the influencing factors.Results Results from the current survey indicated that the average time of sunshine exposure on weekdays and weekends were 2.49 and 3.22 hours,respectively.On weekdays,proportions of students with time of sunshine exposure ≤2 h/d or ＞2 h/d were 60.81％ and 39.19％,respectively.On weekends,the proportions became 44.05％ and 55.95％,respectively.On weekdays,the time of sunshine exposure as ≤2 h/d was significantly different among factors as sex,urban or rural area,residential area,self-rating academic performance,type of housing or ways of commuting to school.On weekends,the time of sunshine exposure ≤2 h/d were significantly different among sex,residential areas,self-rating academic performance,type of housing and ways of commuting to school.Data from the multivariate logistic regression analysis showed that the limited sunshine exposure was significantly associated with factors as:type of primary schools,being girls,students living in the urban area or living in central or western areas,with normal or better academic performances,living in a fiat apartment and the time spent on watching video program ＞2 h/d both on weekdays and weekends.Conclusion The time of sunshine exposure seemed not enough among school students and significant differences were seen among different groups.