[Relationship between screen exposure behaviors and developmental risks in children aged 3-4 years].

<b>Objective:</b> To investigate the current status of screen exposure among children aged 3-4 years in Shanghai and its relationship with children developmental risks. <b>Methods:</b> A cross-sectional study was conducted, and the stratified cluster random sampling method was used to select 22 102 children of 3-4 years of age across 16 districts in Shanghai in 2023, and their parents were surveyed online. The screen exposure behavior questionnaire (ScreenQ) was used to assess children's screen exposure behaviors. The Chinese edition early human capability index (eHCI) was used to evaluate whether children were at developmental risk, and the overall characteristics of newly enrolled 3-4 years of age children in Shanghai were calculated by using sampling weights. After controlling for confounding factors, a stepwise Logistic regression model was used to analyze the association between screen exposure behaviors and children's developmental status (whether at developmental risk). <b>Results:</b> A total of 21 454 children completed the survey, with an age of (3.8±0.3) years, including 11 275 boys (52.6%) and 10 179 girls (47.4%). After weighting, 38.4% of newly enrolled children aged 3-4 years in Shanghai had daily screen time ≥1 h; 55.3% had screen devices in their bedrooms; 40.8% and 62.5% used screens to assist with falling asleep and emotional regulation, respectively; 19.2% of children were frequently exposed to fast-paced screen content (e.g., content with rapid actions or scene changes); 10.4% of parents never discussed or asked questions about content during screen viewing; and 9.2% of parents never discussed screen content or reasons for preferences after screen use. After confirming no multicollinearity among screen exposure behaviors and controlling confounding factors, stepwise Logistic regression analysis revealed that daily screen time ≥1 h (standardized <i>OR</i>=1.98, <i>P<</i>0.001), using screens for emotional regulation (standardized <i>OR</i>=1.59, <i>P</i><0.001), lack of parent-child interaction after screen use (standardized <i>OR=</i>1.38, <i>P=</i>0.002), presence of screen in children's bedrooms (standardized <i>OR</i>=1.27, <i>P</i>=0.012), and exposure to fast-paced screen media (standardized <i>OR</i>=1.23, <i>P</i>=0.010) were the top 5 influencing factors of children developmental risks. <b>Conclusions:</b> Screen exposure among preschool children is prevalent and significantly associated with developmental risks. Early screen exposure behaviors should be addressed, daily screen time should be strictly controlled, and healthy screen use habits should be established to mitigate their impact on child development.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-05-02
DOI
https://doi.org/10.3760/cma.j.cn112140-20250106-00016
Primary Topic
Child Development and Digital Technology
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[Relationship between screen exposure behaviors and developmental risks in children aged 3-4 years].

Fan Jiang, Ying‐Chun Lin, Y T Zhang, Haowei Wang et al.
PubMed
Child Development and Digital Technology
article

[Relationship between screen exposure behaviors and developmental risks in children aged 3-4 years].

Fan Jiang, Ying‐Chun Lin, Y T Zhang, Haowei Wang, Jin Zhao
article en

Abstract

<b>Objective:</b> To investigate the current status of screen exposure among children aged 3-4 years in Shanghai and its relationship with children developmental risks. <b>Methods:</b> A cross-sectional study was conducted, and the stratified cluster random sampling method was used to select 22 102 children of 3-4 years of age across 16 districts in Shanghai in 2023, and their parents were surveyed online. The screen exposure behavior questionnaire (ScreenQ) was used to assess children's screen exposure behaviors. The Chinese edition early human capability index (eHCI) was used to evaluate whether children were at developmental risk, and the overall characteristics of newly enrolled 3-4 years of age children in Shanghai were calculated by using sampling weights. After controlling for confounding factors, a stepwise Logistic regression model was used to analyze the association between screen exposure behaviors and children's developmental status (whether at developmental risk). <b>Results:</b> A total of 21 454 children completed the survey, with an age of (3.8±0.3) years, including 11 275 boys (52.6%) and 10 179 girls (47.4%). After weighting, 38.4% of newly enrolled children aged 3-4 years in Shanghai had daily screen time ≥1 h; 55.3% had screen devices in their bedrooms; 40.8% and 62.5% used screens to assist with falling asleep and emotional regulation, respectively; 19.2% of children were frequently exposed to fast-paced screen content (e.g., content with rapid actions or scene changes); 10.4% of parents never discussed or asked questions about content during screen viewing; and 9.2% of parents never discussed screen content or reasons for preferences after screen use. After confirming no multicollinearity among screen exposure behaviors and controlling confounding factors, stepwise Logistic regression analysis revealed that daily screen time ≥1 h (standardized <i>OR</i>=1.98, <i>P<</i>0.001), using screens for emotional regulation (standardized <i>OR</i>=1.59, <i>P</i><0.001), lack of parent-child interaction after screen use (standardized <i>OR=</i>1.38, <i>P=</i>0.002), presence of screen in children's bedrooms (standardized <i>OR</i>=1.27, <i>P</i>=0.012), and exposure to fast-paced screen media (standardized <i>OR</i>=1.23, <i>P</i>=0.010) were the top 5 influencing factors of children developmental risks. <b>Conclusions:</b> Screen exposure among preschool children is prevalent and significantly associated with developmental risks. Early screen exposure behaviors should be addressed, daily screen time should be strictly controlled, and healthy screen use habits should be established to mitigate their impact on child development.

PubMedVol. 63(5)
Shanghai Children's Medical Center (CN)
Child Development and Digital Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.