Evidence map›Paper›PMID 39367488›Full record

ArticleBMC psychology2024

Behavioral observation and assessment protocol for language and social-emotional development study in children aged 0-6: the Chinese baby connectome project.

Xinpei Xu, Zhixin Wang, Weijia Zhang, Jiayang Guo, Wei Wei, Mingming Zhang, Xuechen Ding, Xiaohua Liu, Qing Yang, Kaidong Wang and 10 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05040542 (A Cohort Study on the Brain Mechanism of Social Emotion and Communication in Infants Aged 0 to 6 Years), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05040542 recruitingnot on this map

A Cohort Study on the Brain Mechanism of Social Emotion and Communication in Infants Aged 0 to 6 Years

TypeobservationalSponsorChildren's Hospital of Fudan UniversityRan2021 to 2026Enrolled3,001ConditionsBrain Development, Behavior Disorders, Child, Intellectual Developmental DisordersArmsmaternal exposure during pregnancy
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Xinpei XuShanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai, China.
Zhixin WangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Weijia ZhangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Jiayang GuoSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Wei WeiShanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai, China.
Mingming ZhangSchool of Psychology, Shanghai Normal University, Shanghai, China.
Xuechen DingSchool of Psychology, Shanghai Normal University, Shanghai, China.
Xiaohua LiuSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Qing YangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Kaidong WangSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Yitao ZhuSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Jian SunSchool of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
Haoyang SongUnited Imaging Intelligence Co., Ltd, Shanghai, China.
Zhenhui ShenUnited Imaging Intelligence Co., Ltd, Shanghai, China.
Lei ChenUnited Imaging Intelligence Co., Ltd, Shanghai, China.
Feng ShiUnited Imaging Intelligence Co., Ltd, Shanghai, China.
Qian WangSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Yan LiShanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai, China. liyan@shnu.edu.cn.
Han ZhangSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China. zhanghan2@shanghaitech.edu.cn.
Dan LiSchool of Psychology, Shanghai Normal University, Shanghai, China. lidan501@126.com.

Funding

STI 2030-Major Projects 2022ZD0209000
6 · The paper itself

Abstract

backgroundThe global rise in developmental delays underscores the critical need for a thorough understanding and timely interventions during early childhood. Addressing this issue, the Chinese Baby Connectome Project (CBCP)'s behavior branch is dedicated to examining language acquisition, social-emotional development, and environmental factors affecting Chinese children. The research framework is built around three primary objectives: developing a 0-6 Child Development Assessment Toolkit, implementing an Intelligent Coding System, and investigating environmental influence.

methodsUtilizing an accelerated longitudinal design, the CBCP aims to enlist a minimum of 1000 typically developing Chinese children aged 0-6. The data collected in this branch constitutes parental questionnaires, behavioral assessments, and observational experiments to capture their developmental milestones and environmental influences holistically. The parental questionnaires will gauge children's developmental levels in language and social-emotional domains, alongside parental mental well-being, life events, parenting stress, parenting styles, and family relationships. Behavioral assessments will involve neurofunctional developmental evaluations using tools such as the Griffiths Development Scales and Wechsler Preschool and Primary Scale of Intelligence. Additionally, the assessments will encompass measuring children's executive functions (e.g., Head-Toe-Knee-Shoulder), social cognitive abilities (e.g., theory of mind), and language development (e.g., Early Chinese Vocabulary Test). A series of behavior observation. experiments will be conducted targeting children of different age groups, focusing primarily on aspects such as behavioral inhibition, compliance, self-control, and social-emotional regulation. To achieve the objectives, established international questionnaires will be adapted to suit local contexts and devise customized metrics for evaluating children's language and social-emotional development; deep learning algorithms will be developed in the observational experiments to enable automated behavioral analysis; and statistical models will be built to factor in various environmental variables to comprehensively outline developmental trajectories and relationships. DISCUSSION: This study's integration of diverse assessments and AI technology will offer a detailed analysis of early childhood development in China, particularly in the realms of language acquisition and social-emotional skills. The development of a comprehensive assessment toolkit and coding system will enhance our ability to understand and support the development of Chinese children, contributing significantly to the field of early childhood development research.

trial registrationThis study was registered with clinicaltrials.gov NCT05040542 on September 10, 2021.

Indexed as

Child DevelopmentConnectomeLanguage DevelopmentChildChild BehaviorChild, PreschoolChinaEast Asian PeopleEmotionsFemaleHumansInfantInfant, NewbornLongitudinal StudiesMaleArtificial intelligenceBehavioral observationInfantLanguage developmentSocial-emotional developmentYoung children

Identifiers

PMID39367488
PMCPMC11451268

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.