Skip to main content
Top
Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Research

Relationship between rest–activity rhythms and cardiorespiratory fitness in middle-aged workers: a cross-sectional study with non-parametric analysis using accelerometers worn on the thigh

Authors: Jaehoon Seol, Rina So, Fumiko Murai, Tomoaki Matsuo

Published in: BMC Public Health | Issue 1/2024

Login to get access

Abstract

Background

Rest–activity rhythms are directly related to health risks, but there are limited objective methods to assess them. This study aimed to investigate the relationship between rest–activity rhythms and cardiorespiratory fitness (CRF) in middle-aged workers.

Methods

Peak oxygen uptake was measured on a treadmill to assess CRF in 254 middle-aged workers who were divided into low, medium, and high-CRF groups based on tertiles. Participants were asked to wear an accelerometer (activPAL) on their thighs for 1 week, and the logarithmically transformed acceleration data were used for the analysis of a 24-hour rest–activity rhythm. Sex, age, body mass index, occupation, smoking status, and alcohol consumption were used as covariates in Model 1, with Model 2 also including walking count on non-workdays. Repeated measures analysis of variance was used to compare time course of rest–activity rhythms changes on workdays between groups, and post-hoc tests were conducted using Bonferroni’s correlation.

Results

Higher CRF correlated with increased physical activity. In model 1, higher CRF showed improved interdaily stability, but the significant difference disappeared in model 2 after adjusting for non-workday walking counts. A time-course group comparison showed that the high group had significantly higher activity levels than those of the low group from 6:00 to 8:59 and 17:00 to 17:59 and the medium group from 6:00 to 7:59 and 19:00 to 19:59.

Conclusions

Workers who have better rest–activity rhythms and engage in higher levels of physical activity on workdays tend to have higher CRF levels. Regular daily routines, influenced by physical activity during holidays, can positively impact cardiopulmonary endurance.
Appendix
Available only for authorised users
Literature
1.
go back to reference Franklin BA, Eijsvogels TMH, Pandey A, Quindry J, Toth PP. Physical activity, cardiorespiratory fitness, and cardiovascular health: a clinical practice statement of the ASPC Part I: bioenergetics, contemporary physical activity recommendations, benefits, risks, extreme exercise regimens, potential maladaptations. Am J Prev Cardiol. 2022;12:100424.PubMedPubMedCentralCrossRef Franklin BA, Eijsvogels TMH, Pandey A, Quindry J, Toth PP. Physical activity, cardiorespiratory fitness, and cardiovascular health: a clinical practice statement of the ASPC Part I: bioenergetics, contemporary physical activity recommendations, benefits, risks, extreme exercise regimens, potential maladaptations. Am J Prev Cardiol. 2022;12:100424.PubMedPubMedCentralCrossRef
2.
go back to reference Kokkinos P, Faselis C, Samuel IBH, Pittaras A, Doumas M, Murphy R, et al. Cardiorespiratory fitness and mortality risk across the spectra of age, race, and sex. J Am Coll Cardiol. 2022;80:598–609.PubMedCrossRef Kokkinos P, Faselis C, Samuel IBH, Pittaras A, Doumas M, Murphy R, et al. Cardiorespiratory fitness and mortality risk across the spectra of age, race, and sex. J Am Coll Cardiol. 2022;80:598–609.PubMedCrossRef
3.
go back to reference Stamatakis E, Ahmadi MN, Gill JMR, Thøgersen-Ntoumani C, Gibala MJ, Doherty A, et al. Association of wearable device-measured vigorous intermittent lifestyle physical activity with mortality. Nat Med. 2022;28:2521–9.PubMedPubMedCentralCrossRef Stamatakis E, Ahmadi MN, Gill JMR, Thøgersen-Ntoumani C, Gibala MJ, Doherty A, et al. Association of wearable device-measured vigorous intermittent lifestyle physical activity with mortality. Nat Med. 2022;28:2521–9.PubMedPubMedCentralCrossRef
4.
go back to reference Myers J, Prakash M, Froelicher V, Do D, Partington S, Atwood JE. Exercise capacity and mortality among men referred for exercise testing. N Engl J Med. 2002;346:793–801.PubMedCrossRef Myers J, Prakash M, Froelicher V, Do D, Partington S, Atwood JE. Exercise capacity and mortality among men referred for exercise testing. N Engl J Med. 2002;346:793–801.PubMedCrossRef
6.
go back to reference Bahls M, Ittermann T, Ewert R, Stubbe B, Völzke H, Friedrich N, et al. Physical activity and cardiorespiratory fitness–a ten-year follow-up. Scand J Med Sci Sports. 2021;31:742–51.PubMedCrossRef Bahls M, Ittermann T, Ewert R, Stubbe B, Völzke H, Friedrich N, et al. Physical activity and cardiorespiratory fitness–a ten-year follow-up. Scand J Med Sci Sports. 2021;31:742–51.PubMedCrossRef
7.
go back to reference Kulinski JP, Khera A, Ayers CR, Das SR, de Lemos JA, Blair SN et al. Association between cardiorespiratory fitness and accelerometer-derived physical activity and sedentary time in the general population. Mayo Clin Proc. 2014;89:1063-71. Kulinski JP, Khera A, Ayers CR, Das SR, de Lemos JA, Blair SN et al. Association between cardiorespiratory fitness and accelerometer-derived physical activity and sedentary time in the general population. Mayo Clin Proc. 2014;89:1063-71.
8.
go back to reference Norha J, Sjöros T, Garthwaite T, Laine S, Saarenhovi M, Kallio P, et al. Effects of reducing sedentary behavior on cardiorespiratory fitness in adults with metabolic syndrome: a 6-month RCT. Scand J Med Sci Sports. 2023;33:1452–61.PubMedCrossRef Norha J, Sjöros T, Garthwaite T, Laine S, Saarenhovi M, Kallio P, et al. Effects of reducing sedentary behavior on cardiorespiratory fitness in adults with metabolic syndrome: a 6-month RCT. Scand J Med Sci Sports. 2023;33:1452–61.PubMedCrossRef
9.
go back to reference Smith L, McCourt O, Sawyer A, Ucci M, Marmot A, Wardle J, et al. A review of occupational physical activity and sedentary behaviour correlates. Occup Med (Lond). 2016;66:185–92.PubMedCrossRef Smith L, McCourt O, Sawyer A, Ucci M, Marmot A, Wardle J, et al. A review of occupational physical activity and sedentary behaviour correlates. Occup Med (Lond). 2016;66:185–92.PubMedCrossRef
10.
go back to reference Gerber M, Lindwall M, Lindegård A, Börjesson M, Jonsdottir IH. Cardiorespiratory fitness protects against stress-related symptoms of burnout and depression. Patient Educ Couns Patient ed. 2013;93:146–52.CrossRef Gerber M, Lindwall M, Lindegård A, Börjesson M, Jonsdottir IH. Cardiorespiratory fitness protects against stress-related symptoms of burnout and depression. Patient Educ Couns Patient ed. 2013;93:146–52.CrossRef
11.
go back to reference Nichols S, Taylor C, Page R, Kallvikbacka-Bennett A, Nation F, Goodman T, et al. Is cardiorespiratory fitness related to cardiometabolic health and all-cause mortality risk in patients with coronary Heart Disease? A CARE CR study. Sports Med Open. 2018;4:22.PubMedPubMedCentralCrossRef Nichols S, Taylor C, Page R, Kallvikbacka-Bennett A, Nation F, Goodman T, et al. Is cardiorespiratory fitness related to cardiometabolic health and all-cause mortality risk in patients with coronary Heart Disease? A CARE CR study. Sports Med Open. 2018;4:22.PubMedPubMedCentralCrossRef
12.
go back to reference Kitano N, Kai Y, Jindo T, Fujii Y, Tsunoda K, Arao T, et al. Association of domain-specific physical activity and sedentary behavior with cardiometabolic health among office workers. Scand J Med Sci Sports. 2022;32:1224–35.PubMedCrossRef Kitano N, Kai Y, Jindo T, Fujii Y, Tsunoda K, Arao T, et al. Association of domain-specific physical activity and sedentary behavior with cardiometabolic health among office workers. Scand J Med Sci Sports. 2022;32:1224–35.PubMedCrossRef
14.
go back to reference Yang L, Feng H, Chen J, Kwok Wing Y, Benedict C, Tan X, et al. Association of circadian rest-activity rhythms with Cardiovascular Disease and mortality in type 2 Diabetes. Diabetes Res Clin Pract. 2023;197:110262.PubMedCrossRef Yang L, Feng H, Chen J, Kwok Wing Y, Benedict C, Tan X, et al. Association of circadian rest-activity rhythms with Cardiovascular Disease and mortality in type 2 Diabetes. Diabetes Res Clin Pract. 2023;197:110262.PubMedCrossRef
15.
go back to reference Westerterp-Plantenga MS, Drummen M, Tischmann L, Swindell N, Stratton G, Raben A, et al. Circadian rhythm parameters and physical activity associated with cardiometabolic risk factors in the PREVIEW lifestyle study. Obes (Silver Spring). 2023;31:744–56.CrossRef Westerterp-Plantenga MS, Drummen M, Tischmann L, Swindell N, Stratton G, Raben A, et al. Circadian rhythm parameters and physical activity associated with cardiometabolic risk factors in the PREVIEW lifestyle study. Obes (Silver Spring). 2023;31:744–56.CrossRef
16.
go back to reference Liu F, Wanigatunga AA, Schrack JA. Assessment of physical activity in adults using wrist accelerometers. Epidemiol Rev. 2022;43:65–93.PubMedCrossRef Liu F, Wanigatunga AA, Schrack JA. Assessment of physical activity in adults using wrist accelerometers. Epidemiol Rev. 2022;43:65–93.PubMedCrossRef
17.
go back to reference Palmer JR, Wang C, Kong D, Cespedes M, Pye J, Hickie IB, et al. Rest-activity rhythms and tract specific white matter lesions in older adults at risk for cognitive decline. Mol Psychiatry. 2022;27:3410–6.PubMedPubMedCentralCrossRef Palmer JR, Wang C, Kong D, Cespedes M, Pye J, Hickie IB, et al. Rest-activity rhythms and tract specific white matter lesions in older adults at risk for cognitive decline. Mol Psychiatry. 2022;27:3410–6.PubMedPubMedCentralCrossRef
18.
go back to reference Mayeli A, LaGoy AD, Smagula SF, Wilson JD, Zarbo C, Rocchetti M, et al. Shared and distinct abnormalities in sleep-wake patterns and their relationship with the negative symptoms of schizophrenia spectrum disorder patients. Mol Psychiatry. 2023;28:2049–57.PubMedCrossRef Mayeli A, LaGoy AD, Smagula SF, Wilson JD, Zarbo C, Rocchetti M, et al. Shared and distinct abnormalities in sleep-wake patterns and their relationship with the negative symptoms of schizophrenia spectrum disorder patients. Mol Psychiatry. 2023;28:2049–57.PubMedCrossRef
19.
go back to reference Neikrug AB, Chen IY, Palmer JR, McCurry SM, Von Korff M, Perlis M, et al. Characterizing behavioral activity rhythms in older adults using actigraphy. Sens (Basel). 2020;20:549.CrossRef Neikrug AB, Chen IY, Palmer JR, McCurry SM, Von Korff M, Perlis M, et al. Characterizing behavioral activity rhythms in older adults using actigraphy. Sens (Basel). 2020;20:549.CrossRef
20.
go back to reference Halonen JI, Pulakka A, Pentti J, Kallio M, Koskela S, Kivimäki M, et al. Cross-sectional associations of neighbourhood socioeconomic disadvantage and greenness with accelerometer-measured leisure-time physical activity in a cohort of ageing workers. BMJ Open. 2020;10:e038673.PubMedPubMedCentralCrossRef Halonen JI, Pulakka A, Pentti J, Kallio M, Koskela S, Kivimäki M, et al. Cross-sectional associations of neighbourhood socioeconomic disadvantage and greenness with accelerometer-measured leisure-time physical activity in a cohort of ageing workers. BMJ Open. 2020;10:e038673.PubMedPubMedCentralCrossRef
21.
go back to reference Mannini A, Intille SS, Rosenberger M, Sabatini AM, Haskell W. Activity recognition using a single accelerometer placed at the wrist or ankle. Med Sci Sports Exerc. 2013;45:2193–203.PubMedPubMedCentralCrossRef Mannini A, Intille SS, Rosenberger M, Sabatini AM, Haskell W. Activity recognition using a single accelerometer placed at the wrist or ankle. Med Sci Sports Exerc. 2013;45:2193–203.PubMedPubMedCentralCrossRef
22.
go back to reference Stevens ML, Gupta N, Inan Eroglu EI, Crowley PJ, Eroglu B, Bauman A, et al. Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement. BMJ Open Sport Exerc Med. 2020;6:e000874.PubMedPubMedCentralCrossRef Stevens ML, Gupta N, Inan Eroglu EI, Crowley PJ, Eroglu B, Bauman A, et al. Thigh-worn accelerometry for measuring movement and posture across the 24-hour cycle: a scoping review and expert statement. BMJ Open Sport Exerc Med. 2020;6:e000874.PubMedPubMedCentralCrossRef
23.
go back to reference Edwardson CL, Winkler EAH, Bodicoat DH, Yates T, Davies MJ, Dunstan DW, et al. Considerations when using the activPAL monitor in field-based research with adult populations. J Sport Health Sci. 2017;6:162–78.PubMedCrossRef Edwardson CL, Winkler EAH, Bodicoat DH, Yates T, Davies MJ, Dunstan DW, et al. Considerations when using the activPAL monitor in field-based research with adult populations. J Sport Health Sci. 2017;6:162–78.PubMedCrossRef
24.
go back to reference Matsuo T, So R, Murai F. Improved VO2max estimation by combining a multiple regression model and linear extrapolation method. J Cardiovasc Dev Dis. 2022;10:9.PubMedPubMedCentral Matsuo T, So R, Murai F. Improved VO2max estimation by combining a multiple regression model and linear extrapolation method. J Cardiovasc Dev Dis. 2022;10:9.PubMedPubMedCentral
25.
go back to reference Buchan DS, Baker JS. Development and evaluation of sedentary time cut-points for the activPAL in adults using the GGIR R-package. Int J Environ Res Public Health. 2023;20:2293.PubMedPubMedCentralCrossRef Buchan DS, Baker JS. Development and evaluation of sedentary time cut-points for the activPAL in adults using the GGIR R-package. Int J Environ Res Public Health. 2023;20:2293.PubMedPubMedCentralCrossRef
27.
go back to reference Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT, GGIR. A research community–driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. J Meas Phys Behav. 2019;2:188–96.CrossRef Migueles JH, Rowlands AV, Huber F, Sabia S, van Hees VT, GGIR. A research community–driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. J Meas Phys Behav. 2019;2:188–96.CrossRef
28.
go back to reference Blume C, Santhi N, Schabus M. nparACT’ package for R: a free software tool for the non-parametric analysis of actigraphy data. MethodsX. 2016;3:430–5.PubMedPubMedCentralCrossRef Blume C, Santhi N, Schabus M. nparACT’ package for R: a free software tool for the non-parametric analysis of actigraphy data. MethodsX. 2016;3:430–5.PubMedPubMedCentralCrossRef
29.
go back to reference Howley ET, Bassett DR Jr, Welch HG. Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc. 1995;27:1292–301.PubMedCrossRef Howley ET, Bassett DR Jr, Welch HG. Criteria for maximal oxygen uptake: review and commentary. Med Sci Sports Exerc. 1995;27:1292–301.PubMedCrossRef
30.
go back to reference Hiyoshi A, Fukuda Y, Shipley MJ, Bartley M, Brunner EJ. A new theory-based social classification in Japan and its validation using historically collected information. Soc Sci Med. 2013;87:84–92.PubMedCrossRef Hiyoshi A, Fukuda Y, Shipley MJ, Bartley M, Brunner EJ. A new theory-based social classification in Japan and its validation using historically collected information. Soc Sci Med. 2013;87:84–92.PubMedCrossRef
31.
go back to reference So R, Murai F, Fujii M, Watanabe S, Matsuo T. Association of sitting time and cardiorespiratory fitness with Cardiovascular Disease risk and healthcare costs among office workers. Ind Health. 2023;61:368–78.PubMedCrossRef So R, Murai F, Fujii M, Watanabe S, Matsuo T. Association of sitting time and cardiorespiratory fitness with Cardiovascular Disease risk and healthcare costs among office workers. Ind Health. 2023;61:368–78.PubMedCrossRef
32.
go back to reference Kokkinos P, Faselis C, Myers J, Sui X, Zhang J, Blair SN. Age-specific exercise capacity threshold for mortality risk assessment in male veterans. Circulation. 2014;130:653–8.PubMedCrossRef Kokkinos P, Faselis C, Myers J, Sui X, Zhang J, Blair SN. Age-specific exercise capacity threshold for mortality risk assessment in male veterans. Circulation. 2014;130:653–8.PubMedCrossRef
33.
go back to reference Dos Santos M, Ferrari G, Lee DH, Rey-López JP, Aune D, Liao B, et al. Association of the Weekend Warrior and other leisure-time physical activity patterns with all-cause and cause-specific mortality: a nationwide cohort study. JAMA Intern Med. 2022;182:840–8.PubMedPubMedCentralCrossRef Dos Santos M, Ferrari G, Lee DH, Rey-López JP, Aune D, Liao B, et al. Association of the Weekend Warrior and other leisure-time physical activity patterns with all-cause and cause-specific mortality: a nationwide cohort study. JAMA Intern Med. 2022;182:840–8.PubMedPubMedCentralCrossRef
34.
go back to reference Fernström M, Fernberg U, Hurtig-Wennlöf A. The importance of cardiorespiratory fitness and sleep duration in early CVD prevention: BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18–25 years: the cross-sectional lifestyle, biomarkers and Atherosclerosis (LBA) study. BMC Public Health. 2020;20:1715.PubMedPubMedCentralCrossRef Fernström M, Fernberg U, Hurtig-Wennlöf A. The importance of cardiorespiratory fitness and sleep duration in early CVD prevention: BMI, resting heart rate and questions about sleep patterns are suggested in risk assessment of young adults, 18–25 years: the cross-sectional lifestyle, biomarkers and Atherosclerosis (LBA) study. BMC Public Health. 2020;20:1715.PubMedPubMedCentralCrossRef
35.
go back to reference Ten Brummelhuis LL, Calderwood C, Rosen CC, Gabriel AS. Is physical activity before the end of the workday a drain or a gain? Daily implications on work focus in regular exercisers. J Appl Psychol. 2022;107:1864–77.PubMedCrossRef Ten Brummelhuis LL, Calderwood C, Rosen CC, Gabriel AS. Is physical activity before the end of the workday a drain or a gain? Daily implications on work focus in regular exercisers. J Appl Psychol. 2022;107:1864–77.PubMedCrossRef
36.
go back to reference Stevens ML, Crowley P, Holtermann A, Mortensen OS, Korshøj M. Cardiorespiratory fitness, occupational aerobic workload and age: workplace measurements among blue-collar workers. Int Arch Occup Environ Health. 2021;94:503–13.PubMedCrossRef Stevens ML, Crowley P, Holtermann A, Mortensen OS, Korshøj M. Cardiorespiratory fitness, occupational aerobic workload and age: workplace measurements among blue-collar workers. Int Arch Occup Environ Health. 2021;94:503–13.PubMedCrossRef
39.
go back to reference Nakai M, Iwanaga Y, Sumita Y, Wada S, Hiramatsu H, Iihara K, et al. Associations among cardiovascular and cerebrovascular Diseases: analysis of the nationwide claims-based JROAD-DPC dataset. PLoS ONE. 2022;17:e0264390.PubMedPubMedCentralCrossRef Nakai M, Iwanaga Y, Sumita Y, Wada S, Hiramatsu H, Iihara K, et al. Associations among cardiovascular and cerebrovascular Diseases: analysis of the nationwide claims-based JROAD-DPC dataset. PLoS ONE. 2022;17:e0264390.PubMedPubMedCentralCrossRef
40.
go back to reference Jones MA, Diesel SJ, Gibbs BB, Whitaker KM. Concurrent agreement between ActiGraph and activPAL for measuring physical activity in pregnant women and office workers. J Meas Phys Behav. 2022;5:69–75.PubMedPubMedCentralCrossRef Jones MA, Diesel SJ, Gibbs BB, Whitaker KM. Concurrent agreement between ActiGraph and activPAL for measuring physical activity in pregnant women and office workers. J Meas Phys Behav. 2022;5:69–75.PubMedPubMedCentralCrossRef
41.
go back to reference Ridgers ND, Salmon J, Ridley K, O’Connell E, Arundell L, Timperio A. Agreement between activPAL and ActiGraph for assessing children’s sedentary time. Int J Behav Nutr Phys Act. 2012;9:15.PubMedPubMedCentralCrossRef Ridgers ND, Salmon J, Ridley K, O’Connell E, Arundell L, Timperio A. Agreement between activPAL and ActiGraph for assessing children’s sedentary time. Int J Behav Nutr Phys Act. 2012;9:15.PubMedPubMedCentralCrossRef
42.
go back to reference Pfister T, Matthews CE, Wang Q, Kopciuk KA, Courneya K, Friedenreich C. Comparison of two accelerometers for measuring physical activity and sedentary behaviour. BMJ Open Sport Exerc Med. 2017;3:e000227.PubMedPubMedCentralCrossRef Pfister T, Matthews CE, Wang Q, Kopciuk KA, Courneya K, Friedenreich C. Comparison of two accelerometers for measuring physical activity and sedentary behaviour. BMJ Open Sport Exerc Med. 2017;3:e000227.PubMedPubMedCentralCrossRef
43.
go back to reference Radtke T, Rodriguez M, Braun J, Dressel H. Criterion validity of the ActiGraph and activPAL in classifying posture and motion in office-based workers: a cross-sectional laboratory study. PLoS ONE. 2021;16:e0252659.PubMedPubMedCentralCrossRef Radtke T, Rodriguez M, Braun J, Dressel H. Criterion validity of the ActiGraph and activPAL in classifying posture and motion in office-based workers: a cross-sectional laboratory study. PLoS ONE. 2021;16:e0252659.PubMedPubMedCentralCrossRef
44.
go back to reference Hidde MC, Lyden K, Broussard JL, Henry KL, Sharp JL, Thomas EA, et al. Comparison of activPAL and actiwatch for estimations of time in bed in free-living adults. J Meas Phys Behav. 2022;5:97–102.CrossRef Hidde MC, Lyden K, Broussard JL, Henry KL, Sharp JL, Thomas EA, et al. Comparison of activPAL and actiwatch for estimations of time in bed in free-living adults. J Meas Phys Behav. 2022;5:97–102.CrossRef
45.
go back to reference Leister KR, Garay J, Barreira TV. Validity of a novel algorithm to detect bedtime, wake time, and sleep time in adults. J Meas Phys Behav. 2022;5:76–84.CrossRef Leister KR, Garay J, Barreira TV. Validity of a novel algorithm to detect bedtime, wake time, and sleep time in adults. J Meas Phys Behav. 2022;5:76–84.CrossRef
Metadata
Title
Relationship between rest–activity rhythms and cardiorespiratory fitness in middle-aged workers: a cross-sectional study with non-parametric analysis using accelerometers worn on the thigh
Authors
Jaehoon Seol
Rina So
Fumiko Murai
Tomoaki Matsuo
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-023-17580-w

Other articles of this Issue 1/2024

BMC Public Health 1/2024 Go to the issue