Evidence map›Paper›PMID 31732441›Full record

ArticleSleep health2020

Adolescent sleep and technology-use rules: results from the California Health Interview Survey.

Jennifer M Bowers, Anne Moyer

Abstract read
In one paragraph

Article in Sleep health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Adolescent Technology-use Rules and Sleep in a Large Representative Sample.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2022
    Article
  7. 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

2 authors.

Jennifer M BowersStony Brook University. Electronic address: jennifer.bowers@stonybrook.edu.
Anne MoyerStony Brook University.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Psychosocial Palliative & Community Research in CancerT32CA009461 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JENNIFER L HAY, Jamie S. Ostroff · 1985 to 2026
$10.1M
NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA009461
6 · The paper itself

Abstract

objectivesThis study reports on adolescent sleep, technology-use rules at home, and their potential association using the 2017 California Health Interview Survey (CHIS).

methodsCHIS cross-sectional, representative survey data was collected between June-December 2017 via telephone. Weekday bedtimes, rise times, and night time in bed in the past week, as well as whether technology-use rules were implemented at home, were examined among 448 adolescent residents of California (mean age = 14.5, range = 12-17; 48% women).

resultsThe average weekday nightly time in bed was 9.04 hours among 12- to 13-year-olds and 7.89 hours among 14- to 17-year-olds. The majority reported having technology-use rules and those who did, spent 35 more minutes in bed. Although a significant relationship was found between having technology-use rules and earlier bedtime, one was not found for time in bed, when controlling for demographics.

conclusionsMany California adolescents do not meet recommended sleep guidelines. Yet, technology-use rules appear to be associated with earlier bedtime. Results have implications for policy-making and adolescent sleep interventions.

Indexed as

ParentingSleepAdolescentCaliforniaChildCross-Sectional StudiesFemaleHealth SurveysHumansMaleTechnologyTime FactorsadolescentsCaliforniaparentingsleeptechnology

Identifiers

PMID31732441
PMCPMC7346706

What OpenQuestion holds

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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.