Objective To understand the prevalence of domestic violence and the correlation between domestic violence and posttraumatic stress disorder (PTSD) so as to improve the mental health status of women in Wuhan city of China.Methods A cross-sectional study was conducted in the community health service center in Wuhan.Participants were women who came to the center for gynecological examination.Data on general condition,social support,injury,epidemiological characteristics of domestic violence and PTSD were gathered.Chi-square,student-t and CochranArmitage trend tests were employed to compare the distribution of each characteristic variable between PTSD and non-PTSD group.Binary logistic regression was used to analyze the correlation between domestic violence and PTSD.Results A total of 1 015 women were effectively surveyed.The life-time incidence rates of events related to domestic,psychological,physical and sexual violence were 29.36％,28.28％,6.60％ and 3.55％,respectively.The overall prevalence rate of PTSD was 4.73％.Women who suffered from domestic violence had higher risk of PTSD (OR=2.11,95％ CI:1.04-4.29) than those who never experiencing domestic violence.Women who suffered from psychological or physical violence were 5.06 times more likely to suffer from PTSD (OR=5.06,95％CI:1.91-13.42).Conclusion A strong correlation between domestic violence and PTSD was seen.Victims who suffered from domestic violence should be provided with psychological counseling to reduce the risk of PTSD.

Objective To explore the motor development and how it is influenced by gestational age and birth weight in children with autism,and provide evidence for the applications of motor development in the early diagnosis of autism. Methods A 1 ∶ 1 matched case-control study was conducted between 2012 and 2014. A total of 396 children under 5 years old with autism were enrolled in this study,their counterparts were healthy children 3 month younger/ older and with the same gender and residence. Guardians of partici-pants were investigated using self-designed childhood psychological and behavioral development and related factors questionnaire. EpiData 3. 0 software was used to establish the data base and SAS 9. 4 software was used for data analysis. Results 396 pairs were enrolled in this study which including 342 pairs of boys (86. 3%) and 54 pairs of girls(13. 7%),the gender ratio was 6. 33 ∶ 1; The average month age of case group was (39. 44±11. 99) months and (39. 96±12. 24) months for the control group. There was no signifi-cant difference observed in the distribution of birth weight(χ2=3. 888,P=0. 140) and gestational age specif-ic birth weight(χ2=0. 462,P=0. 794)between two groups. But the distribution of gestational age was signifi-cantly different(χ2=9. 476,P=0. 009) . Children with autism have significant delaying in motor develop-ment compared with healthy children at same age,which including head lifting(3. 50(1. 00) month),rolling (6. 00(3. 50)month),sitting(8. 00(2. 50)month),etc. Preterm birth could have an effect on head lifting, rolling and sitting in children with autism,and also was the risk factor of delaying occurrence of head lifting (OR=2. 911,95%CI=1. 491-5. 681);Small for gestational age( SGA) was also a risk factor of delaying in walking(OR=1. 703,95%CI=1. 053-2. 754). Conclusion Evident delaying of motor development is ob-served among children with autism. Both preterm and SGA are risk factors for delayed motor development. Thus,early recognization of abnormities in motor development should raise awareness among caregivers and children care workers and assist in early diagnosis of children with autism.

Objective To understand the status of mental health among left-behind children in rural area and to explore its relationship with social capital.Methods A sample of 1 031 leftbehind children,aged 10-18 years,was randomly selected from six schools of two townships in Macheng city of Hubei province where large number of rural parents were working in the urban area.Data from a cross-sectional survey was collected among the sampled students from primary,middle and high schools,using self-designed questionnaires which targeting the ‘ left-behind’ condition and social capital Mental Health Inventory of Middle-School Students (MMHI-60).Chi-square test was used to compare the differences in mental health among different groups.Spearman correlation and logistical regression analysis were applied to assess the relationship between social capital and mental health.Results The prevalence of mental problems was 54.12％.Results from linear x2 test indicated that the detection rates of mental problems were parallel with the monthly pocket money and the reduction in the frequency of contacting migrant father/mother (P＜0.01).Results from the multiple logistic regression analysis indicated that students who were senior (OR=2.410-2.682,P＜0.001),and who reported not caring about their parents (OR =2.048-2.420,P＜ 0.001) were at increased risks for mental health problems.After controlling the demographic characteristics and conditions of staying relevant factors,family social capital (OR =0.845,95％ CI:0.801-0.891),neighborhood social capital (OR=0.867,95％CI:0.826-0.910) and school social capital (OR=0.893,95％CI:0.863-0.923) were all associated with declined risks of mental health problems,in which the family social capital was the most important one.Conclusion The prevalence of mental health problems was high among the left-behind children in rural area.Much attention should be paid to assist these children in improving their mental health status.One promising approach appeared to be improving social capitals which would include family social capital,neighborhood social capital,and school social capital to assist these children from avoiding mental health problems.

OBJECTIVETo explore prenatal related factors of high BMI status in children at 1 and 2 years of age.

METHODA total of 2 220 newborns from Shenyang, Wuhan and Guangzhou were recruited in this birth cohort, thereafter they were followed up to two years of age.Self-administered questionnaires were used to collect such variables as social-demographic characteristics and feeding practice, etc. The anthropometric measures of children were collected by trained health staff. The data were subjected to multiple logistic regression analysis to determine the related factors for high BMI among infants and toddlers.

RESULTThe number of children with high BMI status were 550 (32.80%) at one year of age and 309 (26.23%) at two, respectively. The number of boys with high BMI status were 178 and girls 309 at age two years. The prevalence of high BMI status among boys (29.1%) at age two was significantly higher than that of girls (23.1%) (χ² = 5.52, P = 0.02). Logistic regression analysis showed that after the adjustment for sex, parental educational level, family economic status and other confounding factors, maternal passive smoking during pregnancy [OR:aged one:1.38 (1.05-1.82);aged two:1.48 (1.05-2.09)], maternal pre-pregnancy overweight and obesity [aged one:1.29 (1.05-1.58); aged two:1.35 (1.04-1.76)], paternal overweight and obesity [aged one:1.50 (1.21-1.87); aged two:1.47 (1.11-1.95)] and birth weight [aged one:1.53 (1.05-1.82); aged two:1.87 (1.33-2.63)]were identified to be associated with high BMI status in children.

CONCLUSIONMaternal passive smoking during pregnancy, paternal and maternal (pre-pregnancy) overweight or obesity and high birth weight are found to be important related factors for high BMI status in young children. Childhood overweight/obesity prevention should be considered starting as early as before pregnancy.

Birth Weight ; Body Mass Index ; Child, Preschool ; China ; epidemiology ; Cohort Studies ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Multivariate Analysis ; Odds Ratio ; Overweight ; epidemiology ; etiology ; prevention & control ; Parents ; Pediatric Obesity ; epidemiology ; etiology ; prevention & control ; Pregnancy ; Prenatal Exposure Delayed Effects ; epidemiology ; Risk Factors ; Smoking ; adverse effects ; Surveys and Questionnaires