Literature DB >> 35446893

The physical activity health paradox and risk factors for cardiovascular disease: A cross-sectional compositional data analysis in the Copenhagen City Heart Study.

Melker S Johansson1,2, Andreas Holtermann1,2, Jacob L Marott3, Eva Prescott3,4, Peter Schnohr3, Mette Korshøj1,5, Karen Søgaard2,6.   

Abstract

BACKGROUND: Studies indicate that physical activity during leisure and work have opposite associations with cardiovascular disease (CVD) risk factors, referred to as the physical activity health paradox. We investigated how sedentary behaviour and physical activity types during leisure and work are associated with systolic blood pressure (SBP), waist circumference (WC), and low-density lipoprotein cholesterol (LDL-C) in an adult general population sample using compositional data analysis.
METHODS: Participants wore accelerometers for 7 days (right thigh and iliac crest; 24 h/day) and had their SBP, WC, and LDL-C measured. Accelerometer data was analysed using the software Acti4 to derive daily time spent in sedentary behaviour and physical activity types. The measure of association was quantified by reallocating time between sedentary behaviour and 1) walking, and 2) high-intensity physical activity (HIPA; sum of climbing stairs, running, cycling, and rowing), during both domains.
RESULTS: In total, 652 participants were included in the analyses (median wear time: 6 days, 23.8 h/day). During leisure, the results indicated that less sedentary behaviour and more walking or more HIPA was associated with lower SBP, while during work, the findings indicated an association with higher SBP. During both domains, the findings indicated that less sedentary behaviour and more HIPA was associated with a smaller WC and lower LDL-C. However, the findings indicated less sedentary behaviour and more walking to be associated with a larger WC and higher LDL-C, regardless of domain.
CONCLUSIONS: During leisure, less sedentary behaviour and more walking or HIPA seems to be associated with a lower SBP, but, during work, it seems to be associated with a higher SBP. No consistent differences between domains were observed for WC and LDL-C. These findings highlight the importance of considering the physical activity health paradox, at least for some risk factors for CVD.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35446893      PMCID: PMC9022831          DOI: 10.1371/journal.pone.0267427

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  69 in total

1.  Socioeconomic inequalities in health in 22 European countries.

Authors:  Johan P Mackenbach; Irina Stirbu; Albert-Jan R Roskam; Maartje M Schaap; Gwenn Menvielle; Mall Leinsalu; Anton E Kunst
Journal:  N Engl J Med       Date:  2008-06-05       Impact factor: 91.245

2.  Two-sided confidence intervals for the single proportion: comparison of seven methods.

Authors:  R G Newcombe
Journal:  Stat Med       Date:  1998-04-30       Impact factor: 2.373

3.  2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Scott M Grundy; Neil J Stone; Alison L Bailey; Craig Beam; Kim K Birtcher; Roger S Blumenthal; Lynne T Braun; Sarah de Ferranti; Joseph Faiella-Tommasino; Daniel E Forman; Ronald Goldberg; Paul A Heidenreich; Mark A Hlatky; Daniel W Jones; Donald Lloyd-Jones; Nuria Lopez-Pajares; Chiadi E Ndumele; Carl E Orringer; Carmen A Peralta; Joseph J Saseen; Sidney C Smith; Laurence Sperling; Salim S Virani; Joseph Yeboah
Journal:  J Am Coll Cardiol       Date:  2018-11-10       Impact factor: 24.094

4.  Detection of physical activity types using triaxial accelerometers.

Authors:  Jørgen Skotte; Mette Korshøj; Jesper Kristiansen; Christiana Hanisch; Andreas Holtermann
Journal:  J Phys Act Health       Date:  2012-12-17

Review 5.  A call to action and a lifecourse strategy to address the global burden of raised blood pressure on current and future generations: the Lancet Commission on hypertension.

Authors:  Michael H Olsen; Sonia Y Angell; Samira Asma; Pierre Boutouyrie; Dylan Burger; Julio A Chirinos; Albertino Damasceno; Christian Delles; Anne-Paule Gimenez-Roqueplo; Dagmara Hering; Patricio López-Jaramillo; Fernando Martinez; Vlado Perkovic; Ernst R Rietzschel; Giuseppe Schillaci; Aletta E Schutte; Angelo Scuteri; James E Sharman; Kristian Wachtell; Ji Guang Wang
Journal:  Lancet       Date:  2016-09-23       Impact factor: 79.321

6.  The compositional isotemporal substitution model: A method for estimating changes in a health outcome for reallocation of time between sleep, physical activity and sedentary behaviour.

Authors:  Dorothea Dumuid; Željko Pedišić; Tyman Everleigh Stanford; Josep-Antoni Martín-Fernández; Karel Hron; Carol A Maher; Lucy K Lewis; Timothy Olds
Journal:  Stat Methods Med Res       Date:  2017-11-20       Impact factor: 3.021

7.  Associations of leisure time, commuting, and occupational physical activity with physical fitness and cardiovascular risk factors in young men.

Authors:  Jani P Vaara; Heikki Kyröläinen; Mikael Fogelholm; Matti Santtila; Arja Häkkinen; Keijo Häkkinen; Tommi Vasankari
Journal:  J Phys Act Health       Date:  2013-12-31

8.  2013 ESH/ESC Guidelines for the management of arterial hypertension: the Task Force for the management of arterial hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC).

Authors:  Giuseppe Mancia; Robert Fagard; Krzysztof Narkiewicz; Josep Redón; Alberto Zanchetti; Michael Böhm; Thierry Christiaens; Renata Cifkova; Guy De Backer; Anna Dominiczak; Maurizio Galderisi; Diederick E Grobbee; Tiny Jaarsma; Paulus Kirchhof; Sverre E Kjeldsen; Stéphane Laurent; Athanasios J Manolis; Peter M Nilsson; Luis Miguel Ruilope; Roland E Schmieder; Per Anton Sirnes; Peter Sleight; Margus Viigimaa; Bernard Waeber; Faiez Zannad
Journal:  J Hypertens       Date:  2013-07       Impact factor: 4.844

9.  Are temporal patterns of sitting associated with obesity among blue-collar workers? A cross sectional study using accelerometers.

Authors:  Nidhi Gupta; David M Hallman; Svend Erik Mathiassen; Mette Aadahl; Marie Birk Jørgensen; Andreas Holtermann
Journal:  BMC Public Health       Date:  2016-02-13       Impact factor: 3.295

10.  Effects of 12 months aerobic exercise intervention on work ability, need for recovery, productivity and rating of exertion among cleaners: a worksite RCT.

Authors:  Mark Lidegaard; Karen Søgaard; Peter Krustrup; Andreas Holtermann; Mette Korshøj
Journal:  Int Arch Occup Environ Health       Date:  2017-11-04       Impact factor: 3.015

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.