The physical activity paradox revisited: a prospective study on compositional accelerometer data and long-term sickness absence

The International Journal of Behavioral Nutrition and Physical Activity
Nidhi GuptaA Holtermann

Abstract

The 'physical activity paradox' advocates that leisure physical activity (PA) promotes health while high occupational PA impairs health. However, this paradox can be explained by methodological limitations of the previous studies-self-reported PA measures, insufficient adjustment for socioeconomic confounding or not addressing the compositional nature of PA. Therefore, this study investigated if we still observe the PA paradox in relation to long-term sick absence (LTSA) after adjusting for the abovementioned limitations. Time spent on moderate-to-vigorous physical activity (MVPA) and remaining physical behaviors (sedentary behavior, standing, light PA and time in bed) at work and in leisure was measured for 929 workers using thigh accelerometry and expressed as isometric log-ratios (ilrs). LTSA was register-based first event of ≥6 consecutive weeks of sickness absence during 4-year follow-up. The association between ilrs and LTSA was analyzed using a Cox proportional hazards model adjusted for remaining physical behaviors and potential confounders, then separately adjusting for and stratifying by education and type of work. During the follow-up, 21% of the workers experienced LTSA. In leisure, more relative MVPA time was negat...Continue Reading

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Jun 16, 2018·The International Journal of Behavioral Nutrition and Physical Activity·Nidhi GuptaAndreas Holtermann
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Jan 12, 2019·The International Journal of Behavioral Nutrition and Physical Activity·Nidhi GuptaAndreas Holtermann
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Citations

Jan 8, 2021·BMJ Open Sport & Exercise Medicine·Matthew L StevensEmmanuel Stamatakis
Jun 29, 2021·Scandinavian Journal of Medicine & Science in Sports·Patrick CrowleyAndreas Holtermann
Jul 29, 2021·The International Journal of Behavioral Nutrition and Physical Activity·Matthew PearceSøren Brage

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Software Mentioned

MATLAB
DREAM
R
survival
Acti4
R Foundation for Statistical Computing
CoDA
robcompositions
ActiLife

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