Evidence map›Paper›PMID 39217208›Full record

ArticleEndocrine2025

Relationship of work-related and leisure-based screen time with obesity: a cross-sectional study on adults including older adults.

Hana Wakasa, Takashi Kimura, Takumi Hirata, Akiko Tamakoshi

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Article in Endocrine, 2025. 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

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

4 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

4 authors.

Hana WakasaDepartment of Public Health, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Takashi KimuraDepartment of Public Health, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Takumi HirataDepartment of Public Health, Faculty of Medicine, Hokkaido University, Sapporo, Japan.
Akiko TamakoshiDepartment of Public Health, Faculty of Medicine, Hokkaido University, Sapporo, Japan. tamaa@med.hokudai.ac.jp.ORCID 0000-0002-9761-3879

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe relationship between screen time (ST) and obesity has been demonstrated; however, few studies have differentiated between work-related and leisure-based use in Japanese adults, including older adults. This study aimed to examine the relationship between both work-related and leisure-based ST and obesity in adults.

methodsThis cross-sectional study was based on a questionnaire survey conducted in 2018. Overall, 9947 adults were invited; 3161 participants (31.8%) returned the questionnaire. Finally, 2488 participants (597 younger men (YM), 792 younger women (YW), 542 older men (OM), 557 older women (OW)) were included. The main exposures were work-related, leisure-based, and total ST. The outcome was obesity (body mass index ≥ 25 kg/m

resultsTotal ST was significantly associated with obesity in all participants (PR (95% CI) 1.07 (1.04-1.10), YM (1.05 (1.01-1.10)), OM (1.13 (1.05-1.22)), and OW (1.13 (1.02-1.26)). Work-related ST was significantly associated with obesity in all participants (1.08 (1.04-1.12)), YM (1.06 (1.00-1.12)), and OM (1.24 (1.08-1.42)). Leisure-based ST was significantly associated with obesity in all participants (1.09 (1.04-1.14)), YM (1.09 (1.00-1.18)), and YW (1.10 (1.01-1.20)).

conclusionST is associated with obesity in Japanese adults including older adults; particularly, work-related ST is associated with obesity in men, and leisure-based ST, in younger individuals.

Indexed as

Leisure ActivitiesObesityOccupational DiseasesScreen TimeWorkAdultAgedAge FactorsBody Mass IndexCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedPrevalenceCross-sectional studyJapanObesityScreen timeSedentary behaviorSmartphone

Identifiers

PMID39217208

What Socratic holds

Textmetadata
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 Socratic graph.