Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors?

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Day-to-day pattern of work and leisure time physical behaviours : are low socioeconomic status adults couch potatoes or work warriors? / Rasmussen, Charlotte Lund; Dumuid, Dorothea; Hron, Karel; Gupta, Nidhi; Jørgensen, Marie Birk; Nabe-Nielsen, Kirsten; Holtermann, Andreas.

In: BMC Public Health, Vol. 21, No. 1, 1342, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Rasmussen, CL, Dumuid, D, Hron, K, Gupta, N, Jørgensen, MB, Nabe-Nielsen, K & Holtermann, A 2021, 'Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors?', BMC Public Health, vol. 21, no. 1, 1342. https://doi.org/10.1186/s12889-021-11409-0

APA

Rasmussen, C. L., Dumuid, D., Hron, K., Gupta, N., Jørgensen, M. B., Nabe-Nielsen, K., & Holtermann, A. (2021). Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors? BMC Public Health, 21(1), [1342]. https://doi.org/10.1186/s12889-021-11409-0

Vancouver

Rasmussen CL, Dumuid D, Hron K, Gupta N, Jørgensen MB, Nabe-Nielsen K et al. Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors? BMC Public Health. 2021;21(1). 1342. https://doi.org/10.1186/s12889-021-11409-0

Author

Rasmussen, Charlotte Lund ; Dumuid, Dorothea ; Hron, Karel ; Gupta, Nidhi ; Jørgensen, Marie Birk ; Nabe-Nielsen, Kirsten ; Holtermann, Andreas. / Day-to-day pattern of work and leisure time physical behaviours : are low socioeconomic status adults couch potatoes or work warriors?. In: BMC Public Health. 2021 ; Vol. 21, No. 1.

Bibtex

@article{6d5ced85f9af4dee948e4e365016364a,
title = "Day-to-day pattern of work and leisure time physical behaviours: are low socioeconomic status adults couch potatoes or work warriors?",
abstract = "Background Most studies on day-to-day patterns of physical behaviours (i.e. physical activities and sedentary behaviour) are based on adults with high socioeconomic status (SES) and without differentiating between work and leisure time. Thus, we aimed to characterise the day-to-day leisure time physical behaviours patterns among low SES adults and investigate the influence of work physical behaviours. Methods This cross-sectional study included 963 adults from low SES occupations (e.g. manufacturing, cleaning and transportation). The participants wore accelerometers for 1-7 days to measure physical behaviours during work and leisure time, expressed as time-use compositions consisting of time spent sedentary, standing or being active (walking, running, stair climbing, or cycling). Compositional multivariate multilevel models were used to regress daily leisure time-use composition against work time-use compositions. Interaction between weekday and (1) type of day, (i.e., work/non-work) and (2) the work time-use composition were tested. Compositional isotemporal substitution was used to interpret the estimates from the models. Results Each weekday, workers consistently spent most leisure time being sedentary and most work time standing. Leisure time physical behaviours were associated with type of day (p < 0.005, more sedentary on workdays vs. non-workdays), weekday (p < 0.005, more sedentary on Friday, Saturday and Sunday), standing work (p < 0.005, more sedentary and less standing and active leisure time on Sunday), and active work (p < 0.005, less sedentary and more standing and active leisure time on Sunday). Sedentary leisure time increased by 18 min, while standing and active leisure time decreased by 11 and 7 min, respectively, when 30 min were reallocated to standing at work on Sunday. Conversely, sedentary leisure time decreased by 25 min, and standing and active leisure time increased by 15 and 10 min, respectively, when 30 min were reallocated to active time at work on Sunday. Conclusions While low SES adults' leisure time was mostly sedentary, their work time was predominantly standing. Work physical behaviours differently influenced day-to-day leisure time behaviours. Thus, public health initiatives aiming to change leisure time behaviours among low SES adults should consider the influence of work physical behaviours.",
keywords = "Physical activity, Sedentary time, Compositional data analysis, Time-use, Socioeconomic inequality, Accelerometer data, SEDENTARY BEHAVIOR, INACTIVITY, PARTICIPATION, INDICATORS, OCCUPATION, VALIDITY, RISK",
author = "Rasmussen, {Charlotte Lund} and Dorothea Dumuid and Karel Hron and Nidhi Gupta and J{\o}rgensen, {Marie Birk} and Kirsten Nabe-Nielsen and Andreas Holtermann",
year = "2021",
doi = "10.1186/s12889-021-11409-0",
language = "English",
volume = "21",
journal = "BMC Public Health",
issn = "1471-2458",
publisher = "BioMed Central Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Day-to-day pattern of work and leisure time physical behaviours

T2 - are low socioeconomic status adults couch potatoes or work warriors?

AU - Rasmussen, Charlotte Lund

AU - Dumuid, Dorothea

AU - Hron, Karel

AU - Gupta, Nidhi

AU - Jørgensen, Marie Birk

AU - Nabe-Nielsen, Kirsten

AU - Holtermann, Andreas

PY - 2021

Y1 - 2021

N2 - Background Most studies on day-to-day patterns of physical behaviours (i.e. physical activities and sedentary behaviour) are based on adults with high socioeconomic status (SES) and without differentiating between work and leisure time. Thus, we aimed to characterise the day-to-day leisure time physical behaviours patterns among low SES adults and investigate the influence of work physical behaviours. Methods This cross-sectional study included 963 adults from low SES occupations (e.g. manufacturing, cleaning and transportation). The participants wore accelerometers for 1-7 days to measure physical behaviours during work and leisure time, expressed as time-use compositions consisting of time spent sedentary, standing or being active (walking, running, stair climbing, or cycling). Compositional multivariate multilevel models were used to regress daily leisure time-use composition against work time-use compositions. Interaction between weekday and (1) type of day, (i.e., work/non-work) and (2) the work time-use composition were tested. Compositional isotemporal substitution was used to interpret the estimates from the models. Results Each weekday, workers consistently spent most leisure time being sedentary and most work time standing. Leisure time physical behaviours were associated with type of day (p < 0.005, more sedentary on workdays vs. non-workdays), weekday (p < 0.005, more sedentary on Friday, Saturday and Sunday), standing work (p < 0.005, more sedentary and less standing and active leisure time on Sunday), and active work (p < 0.005, less sedentary and more standing and active leisure time on Sunday). Sedentary leisure time increased by 18 min, while standing and active leisure time decreased by 11 and 7 min, respectively, when 30 min were reallocated to standing at work on Sunday. Conversely, sedentary leisure time decreased by 25 min, and standing and active leisure time increased by 15 and 10 min, respectively, when 30 min were reallocated to active time at work on Sunday. Conclusions While low SES adults' leisure time was mostly sedentary, their work time was predominantly standing. Work physical behaviours differently influenced day-to-day leisure time behaviours. Thus, public health initiatives aiming to change leisure time behaviours among low SES adults should consider the influence of work physical behaviours.

AB - Background Most studies on day-to-day patterns of physical behaviours (i.e. physical activities and sedentary behaviour) are based on adults with high socioeconomic status (SES) and without differentiating between work and leisure time. Thus, we aimed to characterise the day-to-day leisure time physical behaviours patterns among low SES adults and investigate the influence of work physical behaviours. Methods This cross-sectional study included 963 adults from low SES occupations (e.g. manufacturing, cleaning and transportation). The participants wore accelerometers for 1-7 days to measure physical behaviours during work and leisure time, expressed as time-use compositions consisting of time spent sedentary, standing or being active (walking, running, stair climbing, or cycling). Compositional multivariate multilevel models were used to regress daily leisure time-use composition against work time-use compositions. Interaction between weekday and (1) type of day, (i.e., work/non-work) and (2) the work time-use composition were tested. Compositional isotemporal substitution was used to interpret the estimates from the models. Results Each weekday, workers consistently spent most leisure time being sedentary and most work time standing. Leisure time physical behaviours were associated with type of day (p < 0.005, more sedentary on workdays vs. non-workdays), weekday (p < 0.005, more sedentary on Friday, Saturday and Sunday), standing work (p < 0.005, more sedentary and less standing and active leisure time on Sunday), and active work (p < 0.005, less sedentary and more standing and active leisure time on Sunday). Sedentary leisure time increased by 18 min, while standing and active leisure time decreased by 11 and 7 min, respectively, when 30 min were reallocated to standing at work on Sunday. Conversely, sedentary leisure time decreased by 25 min, and standing and active leisure time increased by 15 and 10 min, respectively, when 30 min were reallocated to active time at work on Sunday. Conclusions While low SES adults' leisure time was mostly sedentary, their work time was predominantly standing. Work physical behaviours differently influenced day-to-day leisure time behaviours. Thus, public health initiatives aiming to change leisure time behaviours among low SES adults should consider the influence of work physical behaviours.

KW - Physical activity

KW - Sedentary time

KW - Compositional data analysis

KW - Time-use

KW - Socioeconomic inequality

KW - Accelerometer data

KW - SEDENTARY BEHAVIOR

KW - INACTIVITY

KW - PARTICIPATION

KW - INDICATORS

KW - OCCUPATION

KW - VALIDITY

KW - RISK

U2 - 10.1186/s12889-021-11409-0

DO - 10.1186/s12889-021-11409-0

M3 - Journal article

C2 - 34233666

VL - 21

JO - BMC Public Health

JF - BMC Public Health

SN - 1471-2458

IS - 1

M1 - 1342

ER -

ID: 274665146