Evidence map›Paper›PMID 38994446›Full record

ArticleSleep medicine: X2024

Association of digital media use with sleep habits in school children: A cross-sectional study.

Doreswamy Chandranaik, Jagdish Prasad Goyal, Kuldeep Singh, Prawin Kumar

Abstract read
In one paragraph

Article in Sleep medicine: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Doreswamy ChandranaikDepartment of Pediatrics, All India Institute of Medical Sciences, Jodhpur, 342005, India.
Jagdish Prasad GoyalDepartment of Pediatrics, All India Institute of Medical Sciences, Jodhpur, 342005, India.
Kuldeep SinghDepartment of Pediatrics, All India Institute of Medical Sciences, Jodhpur, 342005, India.
Prawin KumarDepartment of Pediatrics, All India Institute of Medical Sciences, Jodhpur, 342005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of digital media (DM) is increasing among school-children, which can affect their sleep habits. The primary objective of this study was to evaluate the association of DM use with sleep habits in school-children. Methods: It was a cross-sectional study of healthy school children. Sleep habits and DM use were assessed using the Children's Sleep Habits Questionnaire (CSHQ) and SCREENS-Q, respectively. The Pearson correlation coefficient was used to establish the correlation between the two variables. Logistic regression analysis was performed to quantify the extent of association between variables. A p-value <0.05 was considered statistically significant. Results: A total of 205 children were enrolled with a mean (SD) age of 7.1 (2.1) years. The mean (SD) sleep duration was 7.58 (0.80) hours. The mean (SD) CSHQ score was 50.6 (5.1). Use of DM was observed in 204 (99.5 %) children. On multivariate logistic regression analysis, DM use ≥2 h/day was significantly associated with higher CSHQ score (OR 1.28, 95%CI 1.18-1.40; p = 0.001). Sleep domains significantly affected by DM use ≥2 h/day were bedtime resistance (OR 1.55, 95 % CI 1.24-1.94; p < 0.001), sleep duration (OR 0.40, 95 % CI 0.28-0.58:p < 0.001), sleep anxiety (OR 1.69, 95%CI 1.40-2.04:p < 0.001), night awakening (OR 4.81 95 % CI 2.98-7.78:p < 0.001), parasomnias (OR 1.86, 95 % CI 1.45-2.38:p < 0.001), and daytime sleepiness (OR1.89,95 % CI 1.52-2.36: p < 0.001). DM use 30 min before bedtime was significantly associated with a higher CSHQ score (OR 1.32, 95 % CI 1.20-1.45; p < 0.001). In bivariate regression analysis, DM use ≥2 h/day was associated with poor academic performance (OR 2.36 95 % CI 1.28-4.35; p 0.006). Conclusion: This study has shown that the average sleep duration in children was shorter than the recommended duration. DM use was common in school children and it has a significant association with sleep habits especially with use of ≥2 h/day and 30 mints before bedtime. It was also associated with poor academic performance. Public awareness on effect of DM use in school children is the need of the hour.

Indexed as

Academic performanceChildren's sleep habits questionnaireDigital media (DM)ObesitySCREENS-QSleep habit

Identifiers

PMID38994446
PMCPMC11234148

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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.