Evidence map›Paper›PMID 30373557›Full record

ArticleBMC public health2018

Household chaos and screen media use among preschool-aged children: a cross-sectional study.

Jennifer A Emond, Lucy K Tantum, Diane Gilbert-Diamond, Sunny Jung Kim, Reina K Lansigan, Sara Benjamin Neelon

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measurement of screen time among young children aged 0-6 years: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
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  16. Development of the Rural Perception Scale (RPS-18).The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
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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

6 authors.

Jennifer A EmondDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hinman Box 7920, Williamson Building, 3rd Floor, 1 Medical Center Drive, Lebanon, NH, 03756, USA. Jennifer.A.Emond@Dartmouth.edu.ORCID http://orcid.org/0000-0001-8684-7330
Lucy K TantumDartmouth College, 6016 McNutt Hall, Hanover, NH, 03755, USA.
Diane Gilbert-DiamondDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Rubin Building, 8th Floor, 1 Medical Center Drive, Lebanon, NH, 03756, USA.
Sunny Jung KimDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hinman Box 7920, Williamson Building, 3rd Floor, 1 Medical Center Drive, Lebanon, NH, 03756, USA.
Reina K LansiganDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Rubin Building, 8th Floor, 1 Medical Center Drive, Lebanon, NH, 03756, USA.
Sara Benjamin NeelonDepartment of Epidemiology, Geisel School of Medicine, Dartmouth College, Rubin Building, 8th Floor, 1 Medical Center Drive, Lebanon, NH, 03756, USA.

Funding

Prospective impact of media use on sleep and obesity risk in preschoolersK01DK117971 · NIDDK · DARTMOUTH COLLEGE · PI EMOND, JENNIFER A. · 2018 to 2022
$735k
National Institute of Diabetes and Digestive and Kidney Diseases K01DK117971NIDDK NIH HHS K01 DK117971
6 · The paper itself

Abstract

backgroundExcess screen media use is a robust predictor of childhood obesity. Understanding how household factors may affect children's screen use is needed to tailor effective intervention efforts. The preschool years are a critical time for obesity prevention, and while it is likely that greater household disorder influences preschool-aged children's screen use, data on that relationship are absent. In this study, our goal was to quantify the relationships between household chaos and screen use in preschool-aged children.

methodsA cross-sectional, online survey was administered to 385 parents of 2-5 year-olds recruited in 2017. Household chaos was measured with the Confusion, Hubbub and Order Scale (i.e., the chaos scale), a validated, parent-reported scale. The scale consists of 15 items, each scored on a 4-point Likert scale. Final scores were the sum across the 15 items and modeled as quartiles for analyses. Parents reported their children's screen use for nine electronic media activities. Adjusted linear and Poisson regression were used to model associations between household chaos and children's total weekly screen use, screen use within one hour of bedtime and screen use in the bedroom.

resultsChildren averaged 31.0 (SD = 23.8) hours per week with screens, 49.6% used screens within one hour of bedtime and 41.0% used screens in their bedrooms. In adjusted regression models, greater household chaos was positively associated with weekly screen use (P = 0.03) and use of screens within one hour of bedtime (P < 0.01) in a dose-dependent manner. Children in the fourth versus the first quartile of household chaos were more likely to use screens in their bedroom (P = 0.03).

conclusionsGreater household chaos was associated with increased total screen use as well as screen use behaviors that are related to disrupted nighttime sleep. Findings suggest that household chaos may be an obesity risk factor during the preschool years because of such effects on screen use, and highlight the need to consider household chaos when implementing home-based obesity prevention programs for young children.

Indexed as

Child, PreschoolComputersCross-Sectional StudiesFamilyFemaleHumansMalePediatric ObesityTelevisionTime FactorsVideo GamesChildhood obesityHousehold chaosPreschoolersScreen media use

Identifiers

PMID30373557
PMCPMC6206857

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.