Objective: The urine concentrations of phthalate metabolites were used to estimate the cumulative risk assessment in preschool children in Ma’anshan of Anhui province. Methods: Based on the China-Anhui Birth Cohort, the demographic information and urine samples of 3 743 children were collected in Ma’anshan from April 2014 to April 2015. The concentrations of 7 metabolites’ [monomethyl phthalate (MMP), monoethyl phthalate (MEP), monobutyl phthalate (MBP), monobenzyl phthalate (MBzP), mono (2-ethylhexyl) phthalate (MEHP), mono (2-ethyl- 5-oxohexyl) phthalate (MEOHP) and mono (2-ethyl-5-hydroxyhexyl) phthalate (MEHHP)] of 5 phthalates [dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DBP), butyl benzyl phthalate (BBzP), and di (2-ethylhexyl) phthalate (DEHP)] in the urine samples of the children were measured by solid-phase extration-triple quadrupole high performance liquid chromatography-tandem mass spectrometry-isotope method. In addition, the estimated daily intakes (EDIs) of 5 phthalates were calculated according to the metabolites’ concentrations. Cumulative risk assessment was performed using hazard quotient (HQ) and hazard index (HI) methods. Results: The M (Q_R) of seven metabolite concentrations were 29.58 (18.69-48.26), 26.65 (13.44-56.09), 256.86 (150.99-438.51), 0.12 (0.04-0.32), 6.27 (3.71-11.13), 17.94 (11.94-28.42) and 24.80 (16.05-40.32) μg/g creatinine, respectively. For the EDIs of 5 phthalates, DBP ranked first, followed by DEHP, DMP, DEP and BBzP with the M (Q_R) of 7.54 (4.41-12.85), 3.35 (2.20-5.42), 0.75 (0.47-1.24), 0.71 (0.36-1.52) and 0.003 (0.001-0.009) μg/(kg·d), respectively. The HQ and HI varied with age, gender and sampling season, the differences were significant (P<0.05). Conclusions These results indicated that risk of cumulative exposure to phthalates was high in preschool children aged 3-6 years in Ma’anshan. Age, gender and sampling season were influencing factors.

Objective: To investigate the association between the internal exposure levels of phthalic acid esters (PAEs) and executive function (EF) of preschool children. Methods: Between October 2008 and October 2010, pregnant women who accepted pregnancy health care services in four municipal medical and health institutions in Ma'anshan city, Anhui Province, were recruited as study objects. A total of 5 084 pregnant women and 4 669 singleton live births were enrolled in this cohort. The follow-up study was conducted from April 2014 to April 2015. A total of 3 725 data-completed preschool children aged 3 to 6 years older entered in this study. The method of analysis seven metabolites of phthalates in urine was high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and divided objects into low (P₀-P₂₄), medium (P₂₅-P₇₄) and high (P₇₅-P₁₀₀) groups according to their exposure concentrations. To investigate the executive function of preschool children, we used the Behavior Rating Inventory of Executive Function-Preschool Version (BRIEF-P). Univariate and multivariate statistical method was used to analyze the etiology association between the phthalate metabolites levels and preschool children's executive function. Results: In this study, 53.6% (1 997/3 725) of preschoolers were boys, children's age was (51.5±5.6) months. The detection rates of seven phthalate esters were: mono-n-methyl phthalate (MMP) was 99.89% (3 721/3 725); mono-ethyl phthalate (MEP) was 99.97% (3 724/3 725); mono-benzyl phthalate (MBzP) was 69.10% (2 574/3 725); mono-butyl phthalate (MBP), mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) and mono- (2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) were 100.00% and mono-ethylhexyl phthalate (MEHP) was 99.95% (3 723/3 725). The median concentrations of the seven phthalate metabolites were: 17.71, 15.36, 0.07, 155.24, 10.73, 14.67, 3.59 µg/L, respectively. The median concentrations corrected by urinary creatinine were 29.65, 26.65, 0.12, 257.73, 17.94, 24.80, 6.27 µg/g Cr, respectively. The P₂₅ and P₇5 concentration of the total PAEs metabolites corrected by urinary creatinine were 1.20 µmol/g Cr and 3.04 µmol/g Cr. After adjusted the relevant demographic information: children sex, children age in month, maternal age, parental education levels, household exposure to secondhand smoke and whether the child is the only child as confounds, multivariate logistic regression model showed that the risk of inhibitory self-control index (ISCI) dysplasia in MEHHP high concentration group and MEOHP high concentration group were 1.71 and 1.54 times (OR=1.71, 95% CI: 1.11-2.62; OR=1.54, 95% CI: 1.01-2.34) than in low concentration group. The risk of ISCI dysplasia in total PAEs metabolites high concentration group was 1.55 times (OR=1.55, 95% CI: 1.00-2.38) than in low concentration group. Conclusion Phthalates exposure may damage the executive function of preschool children.

OBJECTIVETo investigate the relationship between traditional bullying, cyberbullying and depression in adolescents, with the involvement frequency and different roles considered.

METHODSA stratified cluster sampling method was used to randomly select 5 726 middle school students in three cities of Anhui province in December 2013. Those students were surveyed by self-designed questionnaire of adolescent health-related behaviors in Anhui province. Self-reports on the general demographic information, physical, verbal, relational bullying and cyberbullying involvement and depression were collected. Additionally, the items assessing depression were based on Self-rating Depression Scale (SDS). The chi-square test used to compare prevalent rates of bullying involvement and depression in different groups of students with different demographic features. Multinomial logistic regressions were performed to explore the relationships between all four types of bullying and depression, after controlling confounders.

RESULTSWe got a final effective sample of 5 726 student. The response rate was 99.4% in this study. Among 5 726 adolescents, the prevalence rates of bullying in the last two months were 23.4% (1 339/5 726) physically, 55.0% (3 147/5 726) verbally, 34.2% (1 958/5 726) socially, and 8.9% (512/5 726) electronically. The prevalence rate of depression was 64.8% (3 711/5 726). The detection rate was higher in participants who involved in physical, verbal, relational, and cyber bullying than those who not involved in bullying. After controlling the confounding factors, the different frequency and role of verbal and relational bullying were risk factors of depression (OR = 1.42-3.71, all P values < 0.001). As for physical bullying, except for occasional bully-victims (OR = 1.08, 95% CI: 0.79-1.49), others were more likely to be depressed than noninvolved students. (OR = 1.40-7.84, all P values < 0.001). Frequent involvement in cyberbullying as bullies and (or) victims were more likely to be depressed than noninvolved students (OR = 2.30-4.55, all P values < 0.001), but occasional involvement in cyberbullying as bullies and (or) victims were not the risk factors of adolescents' depression (OR = 1.39, 95% CI:0.97-1.99; OR = 1.58, 95% CI: 0.88-2.82; OR = 1.50, 95% CI:0.82-2.74).

CONCLUSIONInvolvement in physical, verbal, relational, and cyberbullying were risk factors for depression among adolescent students.

Adolescent ; Bullying ; Depression ; Humans ; Internet ; Logistic Models ; Prevalence ; Risk Factors ; Students ; Surveys and Questionnaires

Objective To investigate the correlation between serum adiponectin level and severity of coronary artery disease.Methods We measured the serum concentrations of adiponectin in 135 patients whom had received CAG.The severity of coronary artery lesion was evaluated by Gensini score,the number of stenosis vessel and clinical manifestation.Results The serum concentrations of adiponectin in Gensini score 0 group(74.53?30.76 ng/mL)and score 40 group(28.96?11.87 ng/mL)(P40 group were lower than those in score 20-40 group(P