Evidence map›Paper›PMID 31767931›Full record

ArticleScientific reports2019

Association between Information and Communication Technology use and Ocular Axial Length Elongation among Middle-Aged Male Workers.

Toru Honda, Toru Nakagawa, Yuya Watanabe, Takeshi Hayashi, Tadashi Nakano, Seichi Horie, Masayuki Tatemichi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

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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

7 authors.

Toru HondaHitachi Health Care Center, Ibaraki, Japan.
Toru NakagawaHitachi Health Care Center, Ibaraki, Japan.
Yuya WatanabeHitachi Health Care Center, Ibaraki, Japan.
Takeshi HayashiHitachi Health Care Center, Ibaraki, Japan.
Tadashi NakanoDepartment of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
Seichi HorieDepartment of Health Policy and Management, University of Occupational and Environmental Health, Kitakyushu, Japan.
Masayuki TatemichiDepartment of Preventive Medicine, Tokai University, School of Medicine, Kanagawa, Japan. tatemichi@tokai-u.jp.ORCID http://orcid.org/0000-0002-5051-8591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of Information and Communication Technology devices (ICT) has spread globally; therefore, increasing exposure to these display devices is an important health issue in the workplace. The association between ocular axial length (AL) elongation and ICT use was investigated among 7334 middle-aged Japanese male workers. Detailed ICT use information was obtained using a self-administered questionnaire. The high AL group was defined as the group with AL above the 75th percentile for each 5-year age interval. Logistic analysis showed that the odds ratio (OR) for the high AL group of >8 hours/day, adjusted for potent confounding factors, was significantly elevated relative to <1 hour/day. Notably, there was a strong association in the older groups (OR = 6.60, 95% CI = 3.92-11.12), based on work-related uses: word processing, sending e-mails, preparation of presentation materials, and browsing websites. In addition, among workers with extended ICT use for these work-related purposes, a significant lateral difference was observed in AL. However, these associations were not observed for private use, such as playing games. The results of our prospective cross-sectional study show that increased time spent on work-related ICT uses was associated with AL elongation, particularly in older workers.

Indexed as

Computer SystemsAdultAge FactorsAxial Length, EyeCross-Sectional StudiesHumansJapanLogistic ModelsMaleMiddle AgedProspective StudiesSelf ReportTime FactorsWorkplace

Identifiers

PMID31767931
PMCPMC6877562

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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.