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A comparison of task-based and job-based estimation of physical behavior compositions in grocery store workers.

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Τίτλος: A comparison of task-based and job-based estimation of physical behavior compositions in grocery store workers.
Συγγραφείς: Mathiassen SE; Department of Occupational Health, Psychology and Sports Sciences, University of Gävle, Kungsbäcksvägen 47, Gävle 801 76, Sweden., Rudolfsson T; Department of Occupational Health, Psychology and Sports Sciences, University of Gävle, Kungsbäcksvägen 47, Gävle 801 76, Sweden., Vidlund E; Department of Occupational Health, Psychology and Sports Sciences, University of Gävle, Kungsbäcksvägen 47, Gävle 801 76, Sweden.
Πηγή: Annals of work exposures and health [Ann Work Expo Health] 2026 Jul 17; Vol. 70 (6).
Τύπος έκδοσης: Journal Article; Comparative Study
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Oxford University Press Country of Publication: England NLM ID: 101698454 Publication Model: Print Cited Medium: Internet ISSN: 2398-7316 (Electronic) Linking ISSN: 23987308 NLM ISO Abbreviation: Ann Work Expo Health Subsets: MEDLINE
Imprint Name(s): Original Publication: [Oxford] : Oxford University Press, [2017]-
Ιατρικοί όροι (MeSH): Task Performance and Analysis* , Occupational Exposure* , Food Markets*, Humans ; Male ; Female ; Adult ; Accelerometry ; Sweden ; Working Conditions ; Middle Aged
Περίληψη: Background: Job exposure matrices (JEMs) are widely used in occupational epidemiology to estimate biomechanical exposures in a trade. However, JEMs are insensitive to variability among workers within the same job, potentially leading to less accurate exposures and increased uncertainty of exposure-outcome associations. Task-based exposure assessment, in which individual exposures are derived from task-specific exposures weighted by the time spent on each task, has been suggested to improve accuracy.
Objective: To examine and compare the accuracy of task-based and job-based assessment of physical behaviors-sitting, standing, and moving-in grocery retail.
Methods: The study was conducted in 2 Swedish medium-sized grocery stores. Accelerometry was used to measure "true" physical behaviors continuously over 3 full working days for all participating employees (n = 36; 16 women, 20 men). Job-based exposure estimates were derived by averaging sitting, standing, and moving across all workers, representing a JEM. Nine discrete tasks were defined in collaboration with employees and owners in the stores. For 35 of the workers, task timelines were videotaped for 4 h and linked to accelerometry to construct a gender-neutral (unisex) task exposure matrix (TEM). All 36 participants completed diaries for the 3 d, reporting time spent on each task, and task-based estimates of "true" exposures through the 3 d were calculated for each worker as the weighted average of task exposures based on the diary-reported task distribution. Physical behaviors were analyzed using procedures from compositional data analysis (CoDA), including describing and comparing the performance of job-based and task-based approaches using Aitchison distances to the measured, "true" exposures.
Results: The prerequisites for successful task-based assessment were satisfied, including physical behavior contrasts between tasks and heterogeneity in task composition between workers. task-based estimates were on average closer to "true" exposures than job-based estimates, but the magnitude of improvement was modest (23%) and varied between women (35%) and men (12%). Thirty-three percent of the 36 "true" job exposures were better predicted by the job-based approach, and substantial variability in exposure persisted even within tasks.
Conclusion: Task-based assessment offered only modest improvement in accuracy over job-based estimates and the cost-efficiency of the task-based approach compared to the less costly job-based strategy can be questioned. Task-based assessment may therefore be most useful when task information is needed for documentation or interventions, rather than solely for improving exposure estimation.
(© The Author(s) 2026. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.)
Competing Interests: Conflict of interest: The authors declare no conflict of interest
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Grant Information: 2015/033753 Swedish Work Environment Authority
Contributed Indexing: Keywords: Aitchison distance; compositional data analysis; occupational epidemiology; physical behaviors; task-based exposure assessment
Entry Date(s): Date Created: 20260717 Date Completed: 20260717 Latest Revision: 20260813
Update Code: 20260814
PubMed Central ID: PMC13378765
DOI: 10.1093/annweh/wxag056
PMID: 42467836
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:2398-7316
DOI:10.1093/annweh/wxag056