Evidence map›Paper›PMID 32369439›Full record

ArticleJournal of medical Internet research2020

Relationships Between the Usage of Televisions, Computers, and Mobile Phones and the Quality of Sleep in a Chinese Population: Community-Based Cross-Sectional Study.

Yao Jie Xie, Daphne Sk Cheung, Alice Y Loke, Bernice L Nogueira, Karry M Liu, Angela Ym Leung, Alice Sm Tsang, Cindy Su Leong, Alex Molassiotis

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
8.4field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. 24-hour urinary potassium excretion is negatively associated with self-reported sleep quality in the general population, independently of sleep-disordered breathing.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors at 3 institutions in 2 countries.

Yao Jie XieSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0001-9289-4985
Daphne Sk CheungSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0001-5651-9352
Alice Y LokeSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0002-0676-8139
Bernice L NogueiraSchool of Health Sciences and Sports, Macao Polytechnic Institute, Macau, Macao.ORCID 0000-0001-9920-1547
Karry M LiuSchool of Health Sciences and Sports, Macao Polytechnic Institute, Macau, Macao.ORCID 0000-0002-1727-6762
Angela Ym LeungSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0002-9836-1925
Alice Sm TsangKiang Wu Nursing College of Macau, Macau, Macao.ORCID 0000-0003-2211-8678
Cindy Su LeongSchool of Health Sciences and Sports, Macao Polytechnic Institute, Macau, Macao.ORCID 0000-0002-2628-2742
Alex MolassiotisSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong).ORCID 0000-0002-5225-1739
Hong Kong Polytechnic University · HKMacao Polytechnic University · MOUniversity of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo study has comprehensively investigated the association between the usage of typical screen-based electronic media devices and sleep quality in a Chinese population with individuals in a wide range of ages.

objectiveThis study aimed to understand the characteristics of television (TV) viewing, computer usage, and mobile phone usage in a representative Chinese population in Macau and to examine their roles in predicting the variations in sleep quality.

methodsThis cross-sectional study was an analysis of 1500 Macau residents aged 15 to 90 years based on a community-based health needs assessment study entitled, "Healthy Living, Longer Lives." Data collection was conducted in 7 districts of Macau from 2017 to 2018 through face-to-face interviews. The durations of daily TV viewing, computer usage, and mobile phone usage were recorded in a self-administered questionnaire. The Chinese version of the Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality.

resultsThe prevalence of TV, computer, and mobile phone usage was 78.4% (1176/1500), 51.6% (769/1490), and 85.5% (1276/1492), respectively. The average daily hours of usage were 1.75 (1.62), 1.53 (2.26), and 2.85 (2.47) hours, respectively. Females spent more time watching TV (P=.03) and using mobile phones (P=.02) and less time on the computer (P=.04) as compared to males. Older adults were more likely to watch TV while young people spent more time using the computer and mobile phones (P for all trends<.001). The mean PSQI global score was 4.79 (2.80) among the participants. Females exhibited significantly higher PSQI scores than males (5.04 vs 4.49, respectively; P<.001). No linear association was observed between the PSQI score and the amount of time spent on the 3 electronic devices (P=.58 for PSQI-TV, P=.05 for PSQI-computer, and P=.52 for PSQI-mobile phone). Curve estimation showed significant quadratic curvilinear associations in PSQI-TV (P=.003) and PSQI-computer (P<.001) among all the participants and in PSQI-mobile phone among youths (age, 15-24 years; P=.04). After adjustment of the gender, age, body mass index, demographics, and lifestyle factors, more than 3 hours of TV viewing and 4 hours of computer usage or mobile phone usage was associated with 85% (95% CI 1.04-1.87; P=.008), 72% (95% CI 1.01-2.92; P=.045), and 53% (95% CI 1.06-2.22; P=.03) greater odds of having poor sleep quality (PSQI score>5), respectively.

conclusionsThe mobile phone was the most popular screen-based electronic device used in the Macau population, especially among young people. "J" shape associations were observed between sleep quality and the duration of TV viewing, computer usage, and mobile phone usage, indicating that the extreme use of screen-based electronic devices predicted poorer sleep status, whereas moderate use would be acceptable.

Indexed as

AdolescentAdultAgedAged, 80 and overAsian PeopleCell PhoneComputersCross-Sectional StudiesFemaleHumansMaleMiddle AgedSleepSleep Initiation and Maintenance DisordersSurveys and QuestionnairesTelevisionChinesedigitalelectronic devicemobile phonescreen-basedsleep

Identifiers

PMID32369439
PMCPMC7380995
OpenAlexW3022071303

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.