ArticleJournal of marriage and the family2022
Family Socioeconomic Status and Children's Screen Time.
Article in Journal of marriage and the family, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Virtual reality's impact on children with type 1 diabetes: a proof-of-concept randomized cross-over trial on anxiety, pain, adherence, and glycemic control.Acta diabetologica · 2024Trial
- Parental Media Literacy and Children's Epistemic Curiosity in Screen-Based Media Use: Cross-Sectional Survey Study.JMIR pediatrics and parenting · 2026Article
- Young children's screen time, executive functions, and language development: Longitudinal moderation of parent/child coviewing and media content.Developmental psychology · 2026Article
- Parenting in the Digital Era: Quantitative and Qualitative Insights from Families of Children with Neurodevelopmental Disorders.Children (Basel, Switzerland) · 2026Article
- Perceived social support and social/non-social problematic smartphone use among Chinese university students: a cross-sectional study of indirect associations via social anxiety.Frontiers in psychology · 2026Article
- Parental concern and multiple dimensions of preschool children's digital media use: a cross-sectional study.Frontiers in public health · 2026Article
- Article
- A systematic bibliometric and meta analysis of key factors and emerging AI and ML insights in shaping child cognitive development.Discover mental health · 2025Review
- Active Play in a Digital Age, Exploring Children's (Aged 8-13 Years) Views of a Physical Activity App: Qualitative Formative Study.JMIR formative research · 2025Article
- The Intersection of COVID Lockdown Policies and Parent Resources with Children's Media Exposure in Canada, the United States, Israel, Sweden, and New Zealand.Journal of children and media · 2025Article
- The impact of electronic device use on learning quality in young children: the mediating role of executive function and the moderating role of parental mediation.Frontiers in public health · 2025Article
- Patterns of Screen Time From Ages 2 to 6-7 Years in South Brazil: A Prospective Study.Child: care, health and development · 2025Article
- Types of Adolescent Screen Use and Positive Wellbeing: Gender and Parental Education Influences.Journal of happiness studies · 2025Article
- Adherence to physical activity and screen time recommendations of youth: Demographic differences from National Health and Nutrition Examination Survey 2017-2018.Obesity science & practice · 2024Article
- Referrals and Determinant Factors of a National School Health Campaign in Lebanon on Children Aged between 3 and 12 Years Old.Children (Basel, Switzerland) · 2024Article
- The Dark Side of Multimedia Devices: Negative Consequences for Socioemotional Development in Early Childhood.Children (Basel, Switzerland) · 2023Article
- Familial context influences media usage in 0- to 4-year old children.Frontiers in public health · 2023Article
- Taiwanese parents' perspectives on young children's use of information communication technology.Frontiers in psychology · 2023Article
- Family Socioeconomic Status and Children's Screen Time.Journal of marriage and the family · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Objective: This mixed-methods study examined whether higher-SES children's digital technology use adhered to contemporaneous pediatric guidelines, how it compared to lower-SES children, and why, as analyses showed, higher-SES children's technology use far exceeded pediatric recommendations. Background: 2013 American Academy of Pediatrics (AAP) guidelines recommended limited "screen time" for children. Higher socioeconomic status (SES) families tend to follow guidelines, but digital technology use-simultaneously a health behavior and a pathway for building human capital-has complex implications. Method: Quantitative analyses provide new nationally representative estimates of the relationship between social class and 9- to 13-year-old children's technology time (including television), device access, and parenting rules (2014 PSID Child Development Supplement, N=427). Qualitative analyses of 77 longitudinal higher-SES parent interviews articulated explanatory processes. Results: Higher-SES children used technology as frequently as others and in excess of recommendations. Their device access, activities, and agency in adhering to rules, however, differed from others. Qualitative analysis uncovered processes that helped explain these findings: parents' ambivalence about technology and perception that expert guidance is absent or unrealistic, and children's exercise of agency to use technology facilitated by "concerted cultivation" parenting styles, led to higher-SES individualistic parenting practices that supported children's increased non-television technology use. Conclusion: Cultures and structures related to children's technology use are in flux, and classed norms and understandings are emerging to construct relevant class-based distinctions around parenting.
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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.