Objective: To analyze the association between exposure patterns of adverse childhood experiences (ACEs) and anxiety symptom trajectories in medical college students. Methods: A survey was conducted on first-year students from Anhui Medical College and Anqing Medical College, using the Childhood Abuse Questionnaire, Family Disability Questionnaire, Childhood Adverse Social Experience Item, and Anxiety Self Rating Scale. The baseline survey was conducted from November to December 2019, and two follow-up visits were conducted once every six months until November to December 2020. The latent class analysis (LCA) was used to analyze the exposure patterns of ACEs. The latent class growth analysis (LCGA) was used to analyze the development trajectory of anxiety symptoms. The multiple logistic regression model was used to analyze the correlation between different exposure patterns of ACEs and the trajectory of anxiety symptom trajectories. Results: A total of 3 662 college students aged (19.2±1.0) were surveyed. The LCA showed that the exposure patterns of ACEs could be divided into the "high ACEs" group (13.4%), "high neglect/emotional abuse" group (25.7%), "high family dysfunction" group (6.9%), "high neglect" group (27.1%), and "low ACEs" group (26.3%). The LCGA divided anxiety trajectories into four groups: "high anxiety decline" (7.1%),"anxiety increase "(4.1%), "moderate anxiety"(52.9%), and "low anxiety"(35.9%). Using the low ACEs group as a reference group, compared with the low anxiety trajectory, the high ACEs group, high neglect/emotional abuse group, high family dysfunction group, high neglect group, and medium to high-level anxiety trajectory were all associated with an increased risk (P<0.05). Conclusion: There is heterogeneity in ACEs exposure patterns among medical college students, and ACEs exposure patterns are important influencing factors for anxiety symptom trajectories.
Humans ; Adverse Childhood Experiences ; Anxiety/epidemiology* ; Child Abuse/psychology* ; Students/psychology* ; Surveys and Questionnaires ; Adolescent ; Young Adult

To develop a caregiver parenting behavior scale for children aged 2 to 6 years, and to verify its reliability and validity. This study recruited 1 350 caregivers of children aged 2 to 6 years. The item discrimination analysis and exploratory factor analysis were used to analyze the structure, dimensions and items of the scale. Homogeneity reliability, split-half reliability and test-retest reliability were used to analyze the reliability of the scale. Content validity and construct validity were used to analyze the validity of the scale. The results showed that the final scale contained 7 dimensions and 45 items. Cronbach's α coefficient of the total scale was 0.945; the coefficient of split half was 0.899; the test-retest reliability analysis showed that the correlation coefficients between the two tests were 0.893 (total score), 0.854 (social), 0.832 (language), 0.871 (gross motor), 0.893 (fine motor), 0.862 (cognitive), 0.832 (self-care), and 0.872 (sensory). The content validity analysis was carried out by two rounds of expert argumentation using Delphi expert consultation method. The Kendall coefficient of the items score in two rounds of Delphi expert consultation was 0.813 (P<0.01). The structure validity analysis showed that there were significant correlations between each dimension and the total scale, also between each dimension of the scale, and the extracted average variance values of each dimension was greater than the correlation coefficients between this dimension and other dimensions. In conclusion, the reliability and validity of the scale are qualified. It can be used as a tool to evaluate and guide the parenting behavior of caregivers of children aged 2 to 6 years.
Humans ; Child ; Caregivers/psychology* ; Reproducibility of Results ; Parenting ; Surveys and Questionnaires ; Factor Analysis, Statistical ; Psychometrics/methods*

OBJECTIVES: To study the influence of family structure on depression and anxiety symptoms in adolescents and its mechanism. METHODS: The cluster sampling method was used to select the students from seven middle schools in Shanghai, China. An online questionnaire survey was conducted using a self-made general status questionnaire, Childhood Trauma Questionnaire, Children's Depression Inventory, and Screen for Child Anxiety Related Emotional Disorders. The methods including one-way analysis of variance, chi-square test, binary logistic regression analysis, and mediating effect analysis were used to evaluate depression and anxiety symptoms in adolescents and the difference in childhood trauma and its mediating effect. RESULTS: Compared with the adolescents from nuclear families, the adolescents from three-generation lineal families had a lower risk of depression symptoms (OR=0.794, 95%CI: 0.649-0.972, P<0.05), while those from host families had a higher risk of depression symptoms (OR=4.548, 95%CI: 1.113-18.580, P<0.05). The adolescents from inter-generational families and host families had a significantly higher score on the Childhood Trauma Questionnaire subscale of emotional neglect (P<0.05). Emotional neglect played a mediating role in the influence of inter-generational families and host families on depression symptoms in adolescents. CONCLUSIONS Parents and grandparents have a certain positive effect in family structures. Separation from parents may make adolescents perceive more emotional neglect, which may increase the occurrence of depression symptoms.
Child ; Humans ; Adolescent ; Depression/epidemiology* ; Family Structure ; Child Abuse/psychology* ; China ; Anxiety/epidemiology* ; Surveys and Questionnaires

INTRODUCTION: The study was performed to determine the psychological problems in children with idiopathic nephrotic syndrome (INS) while they were on steroid therapy, as compared to healthy children. METHODS: This prospective cohort study was conducted in a paediatric clinic of a tertiary hospital. Parents of the participants in the INS group and control group (comprising children without chronic illness) completed questionnaires using the Child Behavioural Checklist (CBCL). The CBCL measures a range of age-specific emotional and psychological problems, including internalising and externalising domains. Analyses of the CBCL scores between groups were done using Mann-Whitney U test. RESULTS: A total of 140 children were recruited with an equal number in the INS and control groups. There was a significant difference in the mean total CBCL scores between the INS group and the control group, specifically in the withdrawal, somatic, anxious and aggressiveness subdomains. Similar findings were demonstrated in correlation between total psychological problems and corticosteroid dosage. In the INS group, steroid dose and cushingoid features were found to have a significant positive association with internalising psychological problems. CONCLUSION Children with INS on corticosteroid treatment showed an increase in internalising and externalising scores, as compared to healthy children.
Child ; Humans ; Child Behavior Disorders/psychology* ; Nephrotic Syndrome/psychology* ; Problem Behavior/psychology* ; Prospective Studies ; Southeast Asian People ; Glucocorticoids/therapeutic use*

Humans ; Child ; Cross-Sectional Studies ; Singapore ; Neoplasms/psychology* ; Adaptation, Psychological ; Parents/psychology*

Objective: To investigate the association between screen exposure and language skills in children aged 2-5 years. Methods: There were 299 children aged 2-5 years, recruited by convenience sampling from those who visited the Center of Children's Healthcare, Children's Hospital, Capital Institute of Pediatrics for routine physical examination from November 2020 to November 2021. Their development status were evaluated by the children neuropsychological and behavioral scale (revision 2016). A self-designed questionnaire for parents was conducted to collect demographic and socioeconomic information and screen exposure characteristics (time and quality). One-way ANOVA and independent sample t test were applied to compare the differences in language development quotient of children with different screen exposure time and quality. Multiple linear regression was used to analyze the correlation between screen exposure time and quality with language developmental quotient. Multivariate Logistic regression was used to analyze the risk of language underdevelopment in children with different screen exposure time and quality. Results: Among 299 children, 184 (61.5%) were boys and 115 (38.5%) were girls, with the age of (3.9±1.1) years. The number of children with daily screen time <60, 60-120 and>120 min was 163 children (54.5%), 86 children (28.8%) and 50 children (16.7%), respectively, with the language development quotients of 94±13, 90±13, 84±14, respectively, demonstrating a statistically significant difference (F=8.92, P<0.001). Logistic regression analysis revealed that screen exposure time of 60-120 and >120 min per day were both risk factors for children's language developmental quotients (OR=2.28, 95%CI 1.00-5.17, P=0.043; OR=3.96, 95%CI 1.86-9.17, P<0.001), and co-viewing and exposure to educational programs were both protective factors for children's language developmental quotients (OR=0.48, 95%CI 0.25-0.91, P=0.024, OR=0.36, 95%CI 0.19-0.70, P=0.003). Conclusions: Excessive exposure screen time and inappropriate screen exposure habits are associated with children's poorer language development. Screen exposure time should be limited and screen use should be rational to promote children's language skills.
Male ; Female ; Humans ; Child ; Surveys and Questionnaires ; Parents/psychology* ; Cognition ; Risk Factors

Objective: To investigate the influence of sleep fragmentation in infancy and toddler period on emotional and behavioral problems at the age of 6 years. Methods: Using a prospective cohort design, 262 children were extracted from mother-child birth cohort recruited from May 2012 to July 2013 in Renji Hospital, School of Medicine, Shanghai Jiao Tong University. Children's sleep and physical activities were assessed using actigraphy at 6, 12, 18, 24, and 36 months of age, from which the sleep fragmentation index (FI) at each follow-up point was calculated. Children's emotional and behavioral problems at 6 years of age were assessed using the strengths and difficulties questionnaire. Group-based trajectory model was applied to determine sleep FI in infancy and toddler period trajectory groups with Bayesian information criteria being used to determine the best fitting model. Children's emotional and behavioral problems between groups were examined with independent t test and linear regression models, etc. Results: A total of 177 children, with 91 boys and 86 girls, were included in the final analysis and were divided into 2 groups: high FI group (n=30) and low FI group (n=147). Compared with children in the low FI group, those in the high FI group presents with higher total difficulties score and higher hyperactivity or inattention score ((11.0±4.9) vs. (8.9±4.1), (4.9±2.7) vs. (3.7±2.3) scores, t=2.17, 2.23, both P<0.05, respectively), with the differences remaining significant after adjusting for covariates (t=2.08, 2.09, both P<0.05 respectively). Conclusion: High sleep fragmentation in infancy and toddler period is associated with more emotional and behavioral problems, especially hyperactivity or inattention problems, at 6 years of age.
Male ; Female ; Humans ; Infant ; Child, Preschool ; Child ; Cohort Studies ; Problem Behavior/psychology* ; Sleep Deprivation ; Prospective Studies ; Bayes Theorem ; China ; Surveys and Questionnaires

OBJECTIVE: To test the reliability and validity of the Chinese version of adverse childhood experiences international questionnaire (ACE-IQ) in Chinese parents of preschool children. METHODS: The parents of preschool children in 6 kindergartens in Tongzhou District of Beijing were selected by stratified random cluster sampling, and the Chinese version of ACE-IQ after translation and adaptation was used for survey online. The collected data were randomly divided into two parts. One part of the data (n=602) was used for exploratory factor analysis (EFA), to screen items and evaluate structural validity, and then form the final Chinese version of ACE-IQ. The other part of the data (n=700) was used for confirmatory factor analysis (CFA), criterion validity analysis and reliability analysis. At the same time, experts investigation method was used to evaluate the content validity of the final Chinese version of ACE-IQ. RESULTS: After deleting four items of collective violence, the Chinese version of ACE-IQ with twenty-five items indicated good structural, criterion and content validity. Analysis results showed that the Chinese version of ACE-IQ presented a seven-factor model dimension, namely emotional neglect, physical neglect, family dysfunction, family violence, emotional and physical abuse, sexual abuse and violence outside the home, and the total score of the binary version of ACE-IQ Chinese version was positively correlated with the total score of childhood trauma questionaire-28 item short form (CTQ-SF, r=0.354, P < 0.001) and the center for epidemiological studies depression scale (CES-D, r=0.313, P < 0.001) respectively. Results from five experts showed that the item-level content validity index (I-CVI) of 25 items was between 0.80 and 1.00, and the average of all I-CVIs on the scale (S-CVI/Ave) of the scale was 0.984. At the same time, the internal consistency (Cronbach's α coefficient) of the whole scale was 0.818, and the split-half reliability (Spearman-Brown coefficient) was 0.621, which demonstrated good reliability. CONCLUSION This study has formed a Chinese version of ACE-IQ with 25 items and 7 dimensions, which has good reliability and validity among the parents of preschool children in China. It can be used as an evaluation instrument for measuring the minimum threshold of the adverse childhood experiences in the parents of preschool children in the cultural background of China.
Humans ; Child, Preschool ; Adverse Childhood Experiences ; Reproducibility of Results ; Parents/psychology* ; Surveys and Questionnaires ; China ; Psychometrics/methods*

OBJECTIVES: To study the moderating effect of mother-child relationship in the association between maternal parenting stress and emotional and behavioral problems in preschool children, and to provide reference for the prevention and control of emotional and behavioral problems in preschool children. METHODS: Using a stratified cluster sampling method, 2 049 preschool children were surveyed from November to December 2021, who sampled from 12 kindergartens in Wuhu City, Anhui Province. The emotional and behavioral problems of preschool children were assessed with the Strength and Difficulties Questionnaire. Pearson correlation analysis was used to evaluate the relationship of maternal parenting stress and mother-child relationship with children's emotional and behavioral problems. The PROCESS Macro was used to analyze the moderating effect of conflicted and dependent mother-child relationships in the association between maternal parenting stress and emotional and behavioral problems in these preschool children. RESULTS: Among these preschool children, maternal parenting stress was positively correlated with the scores of emotional symptoms, conduct problems, hyperactivity, and peer problems subscales and total difficulty scores (P<0.001); intimate mother-child relationships were negatively correlated with the scores of conduct problems, hyperactivity, and peer problems subscales and total difficulty scores (P<0.001); conflicted and dependent mother-child relationships were positively correlated with the scores of emotional symptoms, conduct problems, hyperactivity, and peer problems subscales and total difficulty scores (P<0.001). After controlling for relevant confounding factors, conflicted mother-child relationship (β=0.05, P=0.001) and dependent mother-child relationship (β=0.04, P=0.012) were found to have a moderating effect on the association between maternal parenting stress and total difficulty scores in these preschool children. CONCLUSIONS Negative mother-child relationships play a moderating role in the association between maternal parenting stress and emotional and behavioral problems in preschool children. Prevention of emotional and behavioral problems in preschool children should focus on reducing maternal parenting stress and improving negative mother-child relationships.
Humans ; Child, Preschool ; Female ; Problem Behavior/psychology* ; Parenting/psychology* ; Emotions ; Mother-Child Relations ; Surveys and Questionnaires ; Mothers/psychology*

OBJECTIVES: To investigate the efficacy and required indicators of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) in the differential diagnosis of autism spectrum disorder (ASD) and global developmental delay (GDD). METHODS: A total of 277 children with ASD and 415 children with GDD, aged 18-48 months, were enrolled as subjects. CNBS-R2016 was used to assess the developmental levels of six domains, i.e., gross motor, fine motor, adaptive ability, language, social behavior, and warning behavior, and a total of 13 indicators on intelligence age and developmental quotient (DQ) were obtained as the input features. Five commonly used machine learning classifiers were used for training to calculate the classification accuracy, sensitivity, and specificity of each classifier. RESULTS: DQ of warning behavior was selected as the first feature in all five classifiers, and the use of this indicator alone had a classification accuracy of 78.90%. When the DQ of warning behavior was used in combination with the intelligence age of warning behavior, gross motor, and language, it had the highest classification accuracy of 86.71%. CONCLUSIONS Machine learning combined with CNBS-R2016 can effectively distinguish children with ASD from those with GDD. The DQ of warning behavior plays an important role in machine learning, and its combination with other features can improve classification accuracy, providing a basis for the efficient and accurate differential diagnosis of ASD and GDD in clinical practice.
Child ; Humans ; Autism Spectrum Disorder/psychology* ; Diagnosis, Differential ; Machine Learning ; Social Behavior