Does today’s workload predict tomorrow’s stress, fatigue, and other strain states? Exploring directionality in daily dynamics

We examined whether whole day workload predicts strain (e.g. stress, fatigue, impaired cognition) experienced on the next day, and/or whether strain predicts next-day workload. Data were analysed (using dynamic structural equation models) from 196 adults with type 1 diabetes (T1D) who completed two weeks of 5 to 6 daily ecological momentary assessment (EMA) surveys. Workload was assessed with a version of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) adapted for the whole day context. Higher overall workload during the day predicted a shorter sleep duration that night, as well as increased fatigue and slower perceptual speed the next day. In turn, increased stress, fatigue, and shorter sleep duration on one day predicted a higher perceived workload the following day. Among adults with T1D, strain and workload appear to reinforce each other across days, suggesting a potential feedback loop that may escalate if recovery is insufficient.

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Publication Details

Journal
Ergonomics
Published
2026-06-16
DOI
https://doi.org/10.1080/00140139.2026.2683140
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00

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article

Does today’s workload predict tomorrow’s stress, fatigue, and other strain states? Exploring directionality in daily dynamics

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Ergonomics
Sleep and Work-Related Fatigue
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Does today’s workload predict tomorrow’s stress, fatigue, and other strain states? Exploring directionality in daily dynamics

Shawn C. Roll, Jack P. Ginsberg, Haomiao Jin, Moore Ry, Raymond Hernandez, Jeffrey S. Gonzalez, Jason Fanning, Claire Hoogendoorn, Elizabeth A. Pyatak, Stefan Schneider
article en

Abstract

We examined whether whole day workload predicts strain (e.g. stress, fatigue, impaired cognition) experienced on the next day, and/or whether strain predicts next-day workload. Data were analysed (using dynamic structural equation models) from 196 adults with type 1 diabetes (T1D) who completed two weeks of 5 to 6 daily ecological momentary assessment (EMA) surveys. Workload was assessed with a version of the National Aeronautics and Space Administration Task Load Index (NASA-TLX) adapted for the whole day context. Higher overall workload during the day predicted a shorter sleep duration that night, as well as increased fatigue and slower perceptual speed the next day. In turn, increased stress, fatigue, and shorter sleep duration on one day predicted a higher perceived workload the following day. Among adults with T1D, strain and workload appear to reinforce each other across days, suggesting a potential feedback loop that may escalate if recovery is insufficient.

Ergonomics
University of Southern California (US), Albert Einstein College of Medicine (US), Center for Social and Economic Research (PL), Yeshiva University (US), Saybrook University (US), California Southern University (US), University of Surrey (GB), University of California San Diego (US), Wake Forest University (US)
National Institute of Diabetes and Digestive and Kidney Diseases
Openalex Percentile: Top 5%
Sleep and Work-Related Fatigue
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