Changes in family structure and children’s screen time: a longitudinal study of Australian children

Children's screen time varies by family structure, but evidence remains cross-sectional, making it difficult to determine whether differences reflect family structure or pre-existing sociodemographic inequalities. To our knowledge, no study has used matched comparison groups to test whether screen time changes following family transitions (two-parent to single-parent and vice versa). Using data from the Longitudinal Study of Australian Children, a nationally representative study drawing on the Baby and Kindergarten cohorts to follow children aged 6 to 13 (N = 8706 at baseline; mean age, 6.86 years; 51% male; 85% in two-parent households), we used pre-registered multilevel mixed-effects models to examine associations between family structure, sibling number, and screen time, and propensity score-matched piecewise regression to test changes in screen time following family transitions. After full adjustment, living in a single-parent household was not significantly associated with screen time (B = 11.98 min/week; 95% CI, - 7.41 to 31.37). Transitions from two-parent to single-parent (B = 18.45 min/week; 95% CI, - 94.48 to 131.39) or from single-parent to two-parent (B = - 49.47 min/week; 95% CI, - 247.58 to 148.64) were not associated with changes in screen time. In contrast, each additional sibling was associated with lower screen time (B = - 22.71 min/week; 95% CI, - 30.18 to - 15.25). CONCLUSION: The association between family structure and screen time is largely explained by sociodemographic factors, and family transitions do not produce significant changes in screen time. Interventions to reduce screen time may be better directed at sociodemographic inequalities rather than at family structure or transitions, while considering siblings. WHAT IS KNOWN: • Most evidence on family structure and children's screen time is cross-sectional, leaving unclear whether family structure or pre-existing family differences explain observed patterns. • No study has used matched comparison groups to examine whether children's screen time trajectories shift following a family structure transition. WHAT IS NEW: • Screen time levels and trajectories were compared before and after transitions in both directions, between children who transitioned and matched children in stable households. • After adjustment, family structure was not associated with screen time, and transitions were not associated with changes in screen time; having more siblings was consistently associated with lower screen time.

Authors

Institutions

Publication Details

Journal
European Journal of Pediatrics
Published
2026-11-09
DOI
https://doi.org/10.1007/s00431-026-07569-z
Primary Topic
Child Development and Digital Technology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Changes in family structure and children’s screen time: a longitudinal study of Australian children

Taren Sanders, Rebecca Pagano, Nigusie Shifera
1 links
European Journal of Pediatrics
Child Development and Digital Technology
article

Changes in family structure and children’s screen time: a longitudinal study of Australian children

Taren Sanders, Rebecca Pagano, Nigusie Shifera
article en

Abstract

Children's screen time varies by family structure, but evidence remains cross-sectional, making it difficult to determine whether differences reflect family structure or pre-existing sociodemographic inequalities. To our knowledge, no study has used matched comparison groups to test whether screen time changes following family transitions (two-parent to single-parent and vice versa). Using data from the Longitudinal Study of Australian Children, a nationally representative study drawing on the Baby and Kindergarten cohorts to follow children aged 6 to 13 (N = 8706 at baseline; mean age, 6.86 years; 51% male; 85% in two-parent households), we used pre-registered multilevel mixed-effects models to examine associations between family structure, sibling number, and screen time, and propensity score-matched piecewise regression to test changes in screen time following family transitions. After full adjustment, living in a single-parent household was not significantly associated with screen time (B = 11.98 min/week; 95% CI, - 7.41 to 31.37). Transitions from two-parent to single-parent (B = 18.45 min/week; 95% CI, - 94.48 to 131.39) or from single-parent to two-parent (B = - 49.47 min/week; 95% CI, - 247.58 to 148.64) were not associated with changes in screen time. In contrast, each additional sibling was associated with lower screen time (B = - 22.71 min/week; 95% CI, - 30.18 to - 15.25). CONCLUSION: The association between family structure and screen time is largely explained by sociodemographic factors, and family transitions do not produce significant changes in screen time. Interventions to reduce screen time may be better directed at sociodemographic inequalities rather than at family structure or transitions, while considering siblings. WHAT IS KNOWN: • Most evidence on family structure and children's screen time is cross-sectional, leaving unclear whether family structure or pre-existing family differences explain observed patterns. • No study has used matched comparison groups to examine whether children's screen time trajectories shift following a family structure transition. WHAT IS NEW: • Screen time levels and trajectories were compared before and after transitions in both directions, between children who transitioned and matched children in stable households. • After adjustment, family structure was not associated with screen time, and transitions were not associated with changes in screen time; having more siblings was consistently associated with lower screen time.

European Journal of PediatricsVol. 185(12)
Mizan Tepi University (ET), Australian Catholic University (AU)
Department of Social Services, Australian Government
Good health and well-being, Reduced inequalities
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.

Laika access coming soon