Literature DB >> 30222689

Is Daily Composition of Movement Behaviors Related to Blood Pressure in Working Adults?

Nidhi Gupta1, Dorothea Dumuid2, Mette Korshøj1, Marie Birk Jørgensen1, Karen Søgaard3, Andreas Holtermann1,3.   

Abstract

INTRODUCTION: To investigate the association of the daily composition of time spent sedentary, in light physical activity and moderate-to-vigorous physical activity and time in bed (movement behaviors) with blood pressure (BP) among white- and blue-collar workers.
METHODS: Systolic BP (SBP), diastolic BP (DBP) and body mass index of 827 workers were objectively measured. Daily composition of movement behaviors was derived from an Actigraph placed on the thigh for 1 to 5 d using the Acti4 software (2012-2013). The composition was expressed as isometric log-ratios. The cross-sectional associations between daily movement behavior composition and BP were investigated using the Compositional Data Analysis approach. The associations were adjusted for age, sex, body mass index, lift/carry duration, medication intake, and job sector.
RESULTS: Daily composition of time spent in movement behaviors was significantly associated with SBP (F = 2.84, P = 0.04), but not DBP (F = 0.48, P = 0.69). Specifically, time reallocation to sedentary time and light physical activity from the remaining behaviors was deleteriously associated with SBP, whereas time reallocation to time in bed and moderate-to-vigorous physical activity from the remaining behaviors was beneficially associated with SBP. However, the results were only significant for time spent sedentary (P = 0.01) and in bed (P = 0.047).
CONCLUSIONS: Daily composition of movement behaviors is associated with SBP among workers. Spending more time sedentary compared with other behaviors was deleteriously associated with SBP, whereas spending more time in bed was beneficially associated with SBP. How time is spent in different movement behaviors throughout the day is important for BP and needs to be further investigated to be included in future clinical practice guidelines.

Entities:  

Mesh:

Year:  2018        PMID: 30222689     DOI: 10.1249/MSS.0000000000001680

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  11 in total

1.  Physical Activity Advice for Prevention and Rehabilitation of Low Back Pain- Same or Different? A Study on Device-Measured Physical Activity and Register-Based Sickness Absence.

Authors:  Nidhi Gupta; Charlotte Lund Rasmussen; Jan Hartvigsen; Ole Steen Mortensen; Els Clays; Ute Bültmann; Andreas Holtermann
Journal:  J Occup Rehabil       Date:  2021-10-09

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

Authors:  Nidhi Gupta; Sofie Dencker-Larsen; Charlotte Lund Rasmussen; Duncan McGregor; Charlotte Diana Nørregaard Rasmussen; Sannie Vester Thorsen; Marie Birk Jørgensen; Sebastien Chastin; Andreas Holtermann
Journal:  Int J Behav Nutr Phys Act       Date:  2020-07-20       Impact factor: 8.915

3.  Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data.

Authors:  Charlotte Lund Rasmussen; Javier Palarea-Albaladejo; Mette Korshøj; Nidhi Gupta; Kirsten Nabe-Nielsen; Andreas Holtermann; Marie Birk Jørgensen
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

4.  Daily domain-specific time-use composition of physical behaviors and blood pressure.

Authors:  Nidhi Gupta; Mette Korshøj; Dorothea Dumuid; Pieter Coenen; Karen Allesøe; Andreas Holtermann
Journal:  Int J Behav Nutr Phys Act       Date:  2019-01-10       Impact factor: 6.457

5.  Reply to Mekary, R.A.; Ding, E.L. Isotemporal Substitution as the Gold Standard Model for Physical Activity Epidemiology: Why It Is the Most Appropriate for Activity Time Research. Int. J. Environ. Res. Public Health 2019, 16, 797.

Authors:  Gregory J H Biddle; Charlotte L Edwardson; Joseph Henson; Alex V Rowlands; Thomas Yates
Journal:  Int J Environ Res Public Health       Date:  2019-08-12       Impact factor: 3.390

6.  Time-Based Data in Occupational Studies: The Whys, the Hows, and Some Remaining Challenges in Compositional Data Analysis (CoDA).

Authors:  Nidhi Gupta; Charlotte Lund Rasmussen; Andreas Holtermann; Svend Erik Mathiassen
Journal:  Ann Work Expo Health       Date:  2020-10-08       Impact factor: 2.179

Review 7.  Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement.

Authors:  Matthew L Stevens; Nidhi Gupta; Elif Inan Eroglu; Patrick Joseph Crowley; Barbaros Eroglu; Adrian Bauman; Malcolm Granat; Leon Straker; Peter Palm; Sari Stenholm; Mette Aadahl; Paul Mork; Sebastien Chastin; Vegar Rangul; Mark Hamer; Annemarie Koster; Andreas Holtermann; Emmanuel Stamatakis
Journal:  BMJ Open Sport Exerc Med       Date:  2020-12-24

8.  Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis.

Authors:  Gregory J H Biddle; Charlotte L Edwardson; Joseph Henson; Melanie J Davies; Kamlesh Khunti; Alex V Rowlands; Thomas Yates
Journal:  Int J Environ Res Public Health       Date:  2018-10-17       Impact factor: 3.390

9.  Compositional Data Analysis in Time-Use Epidemiology: What, Why, How.

Authors:  Dorothea Dumuid; Željko Pedišić; Javier Palarea-Albaladejo; Josep Antoni Martín-Fernández; Karel Hron; Timothy Olds
Journal:  Int J Environ Res Public Health       Date:  2020-03-26       Impact factor: 4.614

10.  Compositional Associations of Sleep and Activities within the 24-h Cycle with Cardiometabolic Health Markers in Adults.

Authors:  Vahid Farrahi; Maarit Kangas; Rosemary Walmsley; Maisa Niemelä; Antti Kiviniemi; Katri Puukka; Paul J Collings; Raija Korpelainen; Timo Jämsä
Journal:  Med Sci Sports Exerc       Date:  2021-02-01
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