Sitting, standing and moving during work and leisure among male and female office workers of different age: A compositional data analysis

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Sitting, standing and moving during work and leisure among male and female office workers of different age : A compositional data analysis. / Johansson, Elin; Mathiassen, Svend Erik; Lund Rasmussen, Charlotte; Hallman, David M.

I: BMC Public Health, Bind 20, Nr. 1, 826, 2020.

Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

Harvard

Johansson, E, Mathiassen, SE, Lund Rasmussen, C & Hallman, DM 2020, 'Sitting, standing and moving during work and leisure among male and female office workers of different age: A compositional data analysis', BMC Public Health, bind 20, nr. 1, 826. https://doi.org/10.1186/s12889-020-08909-w

APA

Johansson, E., Mathiassen, S. E., Lund Rasmussen, C., & Hallman, D. M. (2020). Sitting, standing and moving during work and leisure among male and female office workers of different age: A compositional data analysis. BMC Public Health, 20(1), [826]. https://doi.org/10.1186/s12889-020-08909-w

Vancouver

Johansson E, Mathiassen SE, Lund Rasmussen C, Hallman DM. Sitting, standing and moving during work and leisure among male and female office workers of different age: A compositional data analysis. BMC Public Health. 2020;20(1). 826. https://doi.org/10.1186/s12889-020-08909-w

Author

Johansson, Elin ; Mathiassen, Svend Erik ; Lund Rasmussen, Charlotte ; Hallman, David M. / Sitting, standing and moving during work and leisure among male and female office workers of different age : A compositional data analysis. I: BMC Public Health. 2020 ; Bind 20, Nr. 1.

Bibtex

@article{860e54313d8548ddb0d6ce806fe610d2,
title = "Sitting, standing and moving during work and leisure among male and female office workers of different age: A compositional data analysis",
abstract = "Background: Gendered patterns of physical activity behaviours may help explaining health inequalities between men and women. However, evidence on such patterns in the working population is sparse. This study aimed at documenting and comparing compositions of sitting, standing and moving at work and during leisure among male and female office workers of different age. Methods: Sitting (including lying), standing and moving were measured using accelerometry for, on average, four working days in 55 male and 57 female Swedish office workers. Behaviours were described in terms of time spent in four exhaustive categories: Sitting in short (< 30 min) and long (≥30 min) bouts, standing, and moving. In a compositional data analysis approach, isometric log-ratios (ilr) were calculated for time sitting relative to non-sitting, time in short relative to long sitting bouts, and time in standing relative to moving. Differences between genders (men vs. women), domains (work vs. leisure), and according to age were examined for each ilr using ANOVA. Results: At work, time spent sitting in short bouts, sitting in long bouts, standing, and moving was, on average, 29, 43, 21 and 7% among men, and 28, 38, 26 and 7% among women. Corresponding proportions during leisure were 34, 27, 27 and 13% among men and 28, 27, 32 and 13% among women. Men spent more time sitting relative to non-sitting (η p 2 $$ {\eta}_p^2 $$ =0.04, p = 0.03) than women, and less time standing relative to moving (η p 2 $$ {\eta}_p^2 $$ =0.07, p = 0.01). At work compared to during leisure, both genders spent more time sitting relative to non-sitting (η p 2 $$ {\eta}_p^2 $$ =0.47, p < 0.01); within sitting more time was spent in long relative to short sitting bouts (η p 2 $$ {\eta}_p^2 $$ =0.26, p < 0.01), and within non-sitting, more time was spent standing than moving (η p 2 $$ {\eta}_p^2 $$ =0.12, p < 0.01). Older workers spent less of their non-sitting time moving than younger workers (η p 2 $$ {\eta}_p^2 $$ =0.07, p = 0.01). Conclusion: Male office workers spent more time sitting relative to non-sitting than female workers, and more time moving relative to standing. Both genders were sitting more at work than during leisure. Older workers moved less than younger. These workers could likely benefit from interventions to reduce or break up prolonged sitting time, preferably by moving more.",
keywords = "Accelerometry, Age, CoDA, Gender, Occupational, Physical activity",
author = "Elin Johansson and Mathiassen, {Svend Erik} and {Lund Rasmussen}, Charlotte and Hallman, {David M.}",
year = "2020",
doi = "10.1186/s12889-020-08909-w",
language = "English",
volume = "20",
journal = "BMC Public Health",
issn = "1471-2458",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Sitting, standing and moving during work and leisure among male and female office workers of different age

T2 - A compositional data analysis

AU - Johansson, Elin

AU - Mathiassen, Svend Erik

AU - Lund Rasmussen, Charlotte

AU - Hallman, David M.

PY - 2020

Y1 - 2020

N2 - Background: Gendered patterns of physical activity behaviours may help explaining health inequalities between men and women. However, evidence on such patterns in the working population is sparse. This study aimed at documenting and comparing compositions of sitting, standing and moving at work and during leisure among male and female office workers of different age. Methods: Sitting (including lying), standing and moving were measured using accelerometry for, on average, four working days in 55 male and 57 female Swedish office workers. Behaviours were described in terms of time spent in four exhaustive categories: Sitting in short (< 30 min) and long (≥30 min) bouts, standing, and moving. In a compositional data analysis approach, isometric log-ratios (ilr) were calculated for time sitting relative to non-sitting, time in short relative to long sitting bouts, and time in standing relative to moving. Differences between genders (men vs. women), domains (work vs. leisure), and according to age were examined for each ilr using ANOVA. Results: At work, time spent sitting in short bouts, sitting in long bouts, standing, and moving was, on average, 29, 43, 21 and 7% among men, and 28, 38, 26 and 7% among women. Corresponding proportions during leisure were 34, 27, 27 and 13% among men and 28, 27, 32 and 13% among women. Men spent more time sitting relative to non-sitting (η p 2 $$ {\eta}_p^2 $$ =0.04, p = 0.03) than women, and less time standing relative to moving (η p 2 $$ {\eta}_p^2 $$ =0.07, p = 0.01). At work compared to during leisure, both genders spent more time sitting relative to non-sitting (η p 2 $$ {\eta}_p^2 $$ =0.47, p < 0.01); within sitting more time was spent in long relative to short sitting bouts (η p 2 $$ {\eta}_p^2 $$ =0.26, p < 0.01), and within non-sitting, more time was spent standing than moving (η p 2 $$ {\eta}_p^2 $$ =0.12, p < 0.01). Older workers spent less of their non-sitting time moving than younger workers (η p 2 $$ {\eta}_p^2 $$ =0.07, p = 0.01). Conclusion: Male office workers spent more time sitting relative to non-sitting than female workers, and more time moving relative to standing. Both genders were sitting more at work than during leisure. Older workers moved less than younger. These workers could likely benefit from interventions to reduce or break up prolonged sitting time, preferably by moving more.

AB - Background: Gendered patterns of physical activity behaviours may help explaining health inequalities between men and women. However, evidence on such patterns in the working population is sparse. This study aimed at documenting and comparing compositions of sitting, standing and moving at work and during leisure among male and female office workers of different age. Methods: Sitting (including lying), standing and moving were measured using accelerometry for, on average, four working days in 55 male and 57 female Swedish office workers. Behaviours were described in terms of time spent in four exhaustive categories: Sitting in short (< 30 min) and long (≥30 min) bouts, standing, and moving. In a compositional data analysis approach, isometric log-ratios (ilr) were calculated for time sitting relative to non-sitting, time in short relative to long sitting bouts, and time in standing relative to moving. Differences between genders (men vs. women), domains (work vs. leisure), and according to age were examined for each ilr using ANOVA. Results: At work, time spent sitting in short bouts, sitting in long bouts, standing, and moving was, on average, 29, 43, 21 and 7% among men, and 28, 38, 26 and 7% among women. Corresponding proportions during leisure were 34, 27, 27 and 13% among men and 28, 27, 32 and 13% among women. Men spent more time sitting relative to non-sitting (η p 2 $$ {\eta}_p^2 $$ =0.04, p = 0.03) than women, and less time standing relative to moving (η p 2 $$ {\eta}_p^2 $$ =0.07, p = 0.01). At work compared to during leisure, both genders spent more time sitting relative to non-sitting (η p 2 $$ {\eta}_p^2 $$ =0.47, p < 0.01); within sitting more time was spent in long relative to short sitting bouts (η p 2 $$ {\eta}_p^2 $$ =0.26, p < 0.01), and within non-sitting, more time was spent standing than moving (η p 2 $$ {\eta}_p^2 $$ =0.12, p < 0.01). Older workers spent less of their non-sitting time moving than younger workers (η p 2 $$ {\eta}_p^2 $$ =0.07, p = 0.01). Conclusion: Male office workers spent more time sitting relative to non-sitting than female workers, and more time moving relative to standing. Both genders were sitting more at work than during leisure. Older workers moved less than younger. These workers could likely benefit from interventions to reduce or break up prolonged sitting time, preferably by moving more.

KW - Accelerometry

KW - Age

KW - CoDA

KW - Gender

KW - Occupational

KW - Physical activity

U2 - 10.1186/s12889-020-08909-w

DO - 10.1186/s12889-020-08909-w

M3 - Journal article

C2 - 32487107

AN - SCOPUS:85085908838

VL - 20

JO - BMC Public Health

JF - BMC Public Health

SN - 1471-2458

IS - 1

M1 - 826

ER -

ID: 243293386