Evidence map›Paper›PMID 42502963›Full record

Observational studyJournal of occupational health2026

Daily presenteeism fluctuates substantially among Japanese workers while converging with retrospective WHO-HPQ scores.

Shohei Dobashi, Shuko Hotoge, Yujia Huo, Ayako Kikuchi, Hisashi Yoshimoto

Abstract readObservational Study
In one paragraph

Observational study in Journal of occupational health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shohei DobashiResearch and Development Center for Lifestyle Innovation, University of Tsukuba, 1-2 Kasuga, 305-8550 Tsukuba, Ibaraki, Japan.
Shuko HotogeResearch and Development Center for Lifestyle Innovation, University of Tsukuba, 1-2 Kasuga, 305-8550 Tsukuba, Ibaraki, Japan.ORCID 0000-0001-5592-6677
Yujia HuoResearch and Development Center for Lifestyle Innovation, University of Tsukuba, 1-2 Kasuga, 305-8550 Tsukuba, Ibaraki, Japan.
Ayako KikuchiResearch and Development Center for Lifestyle Innovation, University of Tsukuba, 1-2 Kasuga, 305-8550 Tsukuba, Ibaraki, Japan.
Hisashi YoshimotoResearch and Development Center for Lifestyle Innovation, University of Tsukuba, 1-2 Kasuga, 305-8550 Tsukuba, Ibaraki, Japan.

Funding

Asahi Breweries Ltd
6 · The paper itself

Abstract

objectivesPresenteeism is commonly assessed using retrospective instruments such as the World Health Organization Health and Work Performance Questionnaire (WHO-HPQ); however, how daily presenteeism assessed using experience sampling relates to these standard measures remains unclear. This study quantified within-person variability in daily presenteeism assessed using experience sampling methods (ESMs) among Japanese workers, while also examining its convergence with retrospective WHO-HPQ presenteeism.

methodsThis observational study enrolled 94 white-collar employees; 93 were included in the final analysis after exclusion of 1 participant because of missing data. Participants completed daily work performance assessments on 19 weekdays using a mobile-based ESM approach. Aggregated daily presenteeism scores were compared with retrospective WHO-HPQ presenteeism scores assessed over the preceding 4 weeks. Convergence was evaluated using Spearman rank correlation coefficient, and agreement was examined using Bland-Altman analysis. Within-person variability was quantified using the coefficient of variation (CV) and intraclass correlation coefficient (ICC).

resultsMean daily absolute presenteeism scores were strongly correlated with retrospective WHO-HPQ presenteeism scores (Spearman rs = 0.783, P < .001). Bland-Altman analysis showed minimal systematic differences on average, despite substantial individual-level variability. Daily presenteeism exhibited substantial variability, with a CV of 42.2% (95% CI, 36.7-47.6) and an ICC of 0.431.

conclusionsDaily presenteeism converged with retrospective WHO-HPQ presenteeism while capturing substantial within-person variability that is not fully reflected in retrospective assessments. These findings support interpreting presenteeism as a dynamically fluctuating state and highlight the importance of selecting measures with appropriate temporal resolution.

Indexed as

PresenteeismWork PerformanceAdultEast Asian PeopleFemaleHumansJapanMaleMiddle AgedOccupational HealthRetrospective StudiesSurveys and Questionnairesexperience sampling methodWHO-HPQwithin-person variabilitywork productivity

Identifiers

PMID42502963
PMCPMC13483989

What OpenQuestion holds

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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.