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Published on: March 1, 2019
Prevalence and Characteristics of Social Withdrawal Tendency Among 3-24 Months in China: A Pilot Study
Fengjuan Zhou1,2, Peiyuan Huang1,2, Xueling Wei1,2
1Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Insights
Social withdrawal tendency affects 16.7% of young Chinese children, correlating with poorer social-emotional development. This preliminary study used the Alarm Distress Baby Scale (ADBB) to assess withdrawal in infants and toddlers.
Area of Science:
- Child Psychology
- Developmental Pediatrics
- Social Behavior Studies
Background:
- Sustained withdrawal behavior presents a significant obstacle to optimal child development.
- Early identification and understanding of social withdrawal are crucial for intervention.
- The Alarm Distress Baby Scale (ADBB) is a tool for assessing infant distress and withdrawal.
Purpose of the Study:
- To preliminarily evaluate the prevalence of social withdrawal tendency in young Chinese children (3-24 months).
- To describe the characteristics of socially withdrawn children using the ADBB.
- To explore the association between social withdrawal and developmental outcomes.
Main Methods:
- A cross-sectional analysis of 114 children aged 3-24 months was conducted.
- The Chinese version of the Alarm Distress Baby Scale (ADBB) was used to assess social withdrawal (score ≥ 5).
- Standardized questionnaires including ASQ-3, ASQ:SE, and Infant Temperamental Questionnaire were administered; statistical tests identified group differences.
Main Results:
- Approximately 16.7% of the children exhibited social withdrawal.
- Socially withdrawn children were older, predominantly male (68.4%), and showed significantly higher rates of social-emotional developmental delay (63.2%) compared to non-withdrawn peers.
- Poorer social-emotional development was observed in withdrawn children across all age groups (3-24 months).
Conclusions:
- The prevalence of social withdrawal tendency in young Chinese children, as measured by the ADBB, is comparable to European populations.
- Children identified with social withdrawal demonstrate a tendency towards poorer social-emotional development.
- Further large-scale research is recommended to validate the ADBB in this population and confirm findings.
Abstract:
Background: Sustained withdrawal behavior is an obstacle for child development. The present study aimed to preliminarily evaluate the prevalence of social withdrawal tendency in young Chinese children using the Alarm Distress Baby Scale (ADBB) and describe the characteristics of socially withdrawn children. Method: This was a cross-sectional analysis as part of a prospective cohort study. A total of 114 children aged 3-24 months were included. The following instruments were administered: the Chinese version of ADBB, the Ages and Stages Questionnaire (ASQ-3), the Ages and Stages Questionnaire: Social-Emotional (ASQ:SE), and the Infant Temperamental Questionnaire. The tendency of social withdrawal in children was assessed using the ADBB. Social withdrawal was defined as an ADBB score of 5 or above. Student's t-test, χ2 test, and Fisher's exact test were performed to identify the differences in maternal and child characteristics between the children with and without social withdrawal. Age-specific indicators of development in these two groups were also presented. Results: About 16.7% of the children were socially withdrawn. Compared with those without social withdrawal, children with social withdrawal were older and had higher proportions of boys (68.4 vs. 42.1%) and social-emotional development delay (63.2 vs. 0%). In age-specific analyses, social-emotional development was poorer in children with social withdrawal across all age groups from 3 to 24 months. Conclusion: Assessed by the ADBB, the prevalence of social withdrawal tendency in young Chinese children was similar to that reported in the European population; children with social withdrawal tended to have poorer social-emotional development. Further research with larger sample sizes is needed to validate the scale and confirm these findings.
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