Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis

Ulf Ekelund, Jakob Tarp, Jostein Steene-Johannessen, Bjørge H Hansen, Barbara Jefferis, Morten W Fagerland, Peter Whincup, Keith M Diaz, Steven P Hooker, Ariel Chernofsky, Martin G Larson, Nicole Spartano, Ramachandran S Vasan, Ing-Mari Dohrn, Maria Hagströmer, Charlotte Edwardson, Thomas Yates, Eric Shiroma, Sigmund A Anderssen, I-Min Lee, Ulf Ekelund, Jakob Tarp, Jostein Steene-Johannessen, Bjørge H Hansen, Barbara Jefferis, Morten W Fagerland, Peter Whincup, Keith M Diaz, Steven P Hooker, Ariel Chernofsky, Martin G Larson, Nicole Spartano, Ramachandran S Vasan, Ing-Mari Dohrn, Maria Hagströmer, Charlotte Edwardson, Thomas Yates, Eric Shiroma, Sigmund A Anderssen, I-Min Lee

Abstract

Objective: To examine the dose-response associations between accelerometer assessed total physical activity, different intensities of physical activity, and sedentary time and all cause mortality.

Design: Systematic review and harmonised meta-analysis.

Data sources: PubMed, PsycINFO, Embase, Web of Science, Sport Discus from inception to 31 July 2018.

Eligibility criteria: Prospective cohort studies assessing physical activity and sedentary time by accelerometry and associations with all cause mortality and reported effect estimates as hazard ratios, odds ratios, or relative risks with 95% confidence intervals.

Data extraction and analysis: Guidelines for meta-analyses and systematic reviews for observational studies and PRISMA guidelines were followed. Two authors independently screened the titles and abstracts. One author performed a full text review and another extracted the data. Two authors independently assessed the risk of bias. Individual level participant data were harmonised and analysed at study level. Data on physical activity were categorised by quarters at study level, and study specific associations with all cause mortality were analysed using Cox proportional hazards regression analyses. Study specific results were summarised using random effects meta-analysis.

Main outcome measure: All cause mortality.

Results: 39 studies were retrieved for full text review; 10 were eligible for inclusion, three were excluded owing to harmonisation challenges (eg, wrist placement of the accelerometer), and one study did not participate. Two additional studies with unpublished mortality data were also included. Thus, individual level data from eight studies (n=36 383; mean age 62.6 years; 72.8% women), with median follow-up of 5.8 years (range 3.0-14.5 years) and 2149 (5.9%) deaths were analysed. Any physical activity, regardless of intensity, was associated with lower risk of mortality, with a non-linear dose-response. Hazards ratios for mortality were 1.00 (referent) in the first quarter (least active), 0.48 (95% confidence interval 0.43 to 0.54) in the second quarter, 0.34 (0.26 to 0.45) in the third quarter, and 0.27 (0.23 to 0.32) in the fourth quarter (most active). Corresponding hazards ratios for light physical activity were 1.00, 0.60 (0.54 to 0.68), 0.44 (0.38 to 0.51), and 0.38 (0.28 to 0.51), and for moderate-to-vigorous physical activity were 1.00, 0.64 (0.55 to 0.74), 0.55 (0.40 to 0.74), and 0.52 (0.43 to 0.61). For sedentary time, hazards ratios were 1.00 (referent; least sedentary), 1.28 (1.09 to 1.51), 1.71 (1.36 to 2.15), and 2.63 (1.94 to 3.56).

Conclusion: Higher levels of total physical activity, at any intensity, and less time spent sedentary, are associated with substantially reduced risk for premature mortality, with evidence of a non-linear dose-response pattern in middle aged and older adults.

Systematic review registration: PROSPERO CRD42018091808.

Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Figures

Fig 1
Fig 1
Study selection
Fig 2
Fig 2
Dose-response associations between total physical activity (top left), light intensity physical activity (LPA) (top right), low LPA (middle left), high LPA (middle right), moderate-to-vigorous intensity physical activity (MVPA) (bottom left), and sedentary time (bottom right, data from REGARDS (Reasons for Geographic and Racial Differences in Stroke) and FHS (Women’s Health Study) are only included for MVPA) and all cause mortality. Modelling performed using restricted cubic splines with knots at 25th, 50th, and 75th centiles of exposure specific distribution from medians of quarters (least to most active). The exposure reference is set as the median of the medians in the reference group (least active) (see supplementary table 3). Knot locations are available in supplementary table 8. cpm=counts per minute

References

    1. 2018 Physical Activity Guidelines Advisory Committee. 2018 Physical Activity Guidelines Advisory Committee Scientific Report. U.S. Department of Health and Human Services, 2018.
    1. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT, Lancet Physical Activity Series Working Group Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012;380:219-29. 10.1016/S0140-6736(12)61031-9
    1. Ding D, Lawson KD, Kolbe-Alexander TL, et al. Lancet Physical Activity Series 2 Executive Committee The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet 2016;388:1311-24. 10.1016/S0140-6736(16)30383-X
    1. Biswas A, Oh PI, Faulkner GE, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med 2015;162:123-32. 10.7326/M14-1651
    1. Patterson R, McNamara E, Tainio M, et al. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. Eur J Epidemiol 2018;33:811-29. 10.1007/s10654-018-0380-1
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act 2008;5:56. 10.1186/1479-5868-5-56
    1. Warren JM, Ekelund U, Besson H, Mezzani A, Geladas N, Vanhees L, Experts Panel Assessment of physical activity - a review of methodologies with reference to epidemiological research: a report of the exercise physiology section of the European Association of Cardiovascular Prevention and Rehabilitation. Eur J Cardiovasc Prev Rehabil 2010;17:127-39. 10.1097/HJR.0b013e32832ed875
    1. Clark BK, Lynch BM, Winkler EAH, et al. Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3. Int J Behav Nutr Phys Act 2015;12:148. 10.1186/s12966-015-0309-y
    1. Diaz KM, Howard VJ, Hutto B, et al. Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults: A National Cohort Study. Ann Intern Med 2017;167:465-75. 10.7326/M17-0212
    1. Dohrn IM, Sjöström M, Kwak L, Oja P, Hagströmer M. Accelerometer-measured sedentary time and physical activity-A 15 year follow-up of mortality in a Swedish population-based cohort. J Sci Med Sport 2018;21:702-7. 10.1016/j.jsams.2017.10.035
    1. LaMonte MJ, Buchner DM, Rillamas-Sun E, et al. Accelerometer-Measured Physical Activity and Mortality in Women Aged 63 to 99. J Am Geriatr Soc 2018;66:886-94. 10.1111/jgs.15201
    1. Lee IM, Shiroma EJ, Evenson KR, Kamada M, LaCroix AZ, Buring JE. Accelerometer-Measured Physical Activity and Sedentary Behavior in Relation to All-Cause Mortality: The Women’s Health Study. Circulation 2018;137:203-5. 10.1161/CIRCULATIONAHA.117.031300
    1. Matthews CE, Keadle SK, Troiano RP, et al. Accelerometer-measured dose-response for physical activity, sedentary time, and mortality in US adults. Am J Clin Nutr 2016;104:1424-32. 10.3945/ajcn.116.135129
    1. Evenson KR, Wen F, Herring AH. Associations of Accelerometry-Assessed and Self-Reported Physical Activity and Sedentary Behavior With All-Cause and Cardiovascular Mortality Among US Adults. Am J Epidemiol 2016;184:621-32. 10.1093/aje/kww070
    1. Stroup DF, Berlin JA, Morton SC, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283:2008-12. 10.1001/jama.283.15.2008
    1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. (Accessed 15 Januari 2018)
    1. Hildebrand M, VAN Hees VT, Hansen BH, Ekelund U. Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. Med Sci Sports Exerc 2014;46:1816-24. 10.1249/MSS.0000000000000289
    1. Ensrud KE, Blackwell TL, Cauley JA, et al. Osteoporotic Fractures in Men Study Group Objective measures of activity level and mortality in older men. J Am Geriatr Soc 2014;62:2079-87. 10.1111/jgs.13101
    1. Koolhaas CM, Dhana K, van Rooij FJ, et al. Sedentary time assessed by actigraphy and mortality: The Rotterdam Study. Prev Med 2017;95:59-65. 10.1016/j.ypmed.2016.11.021
    1. Klenk J, Dallmeier D, Denkinger MD, Rapp K, Koenig W, Rothenbacher D, ActiFE Study Group Objectively Measured Walking Duration and Sedentary Behaviour and Four-Year Mortality in Older People. PLoS One 2016;11:e0153779. 10.1371/journal.pone.0153779
    1. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses (accessed January 15 2018)
    1. Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc 2011;43:357-64. 10.1249/MSS.0b013e3181ed61a3
    1. Trost SG, McIver KL, Pate RR. Conducting accelerometer-based activity assessments in field-based research. Med Sci Sports Exerc 2005;37(Suppl):S531-43. 10.1249/01.mss.0000185657.86065.98
    1. Matthews CE, Chen KY, Freedson PS, et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol 2008;167:875-81. 10.1093/aje/kwm390
    1. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc 1998;30:777-81. 10.1097/00005768-199805000-00021
    1. Murabito JM, Pedley A, Massaro JM, et al. Moderate-to-vigorous physical activity with accelerometry is associated with visceral adipose tissue in adults. J Am Heart Assoc 2015;4:e001379. 10.1161/JAHA.114.001379
    1. Colley RC, Tremblay MS. Moderate and vigorous physical activity intensity cut-points for the Actical accelerometer. J Sports Sci 2011;29:783-9. 10.1080/02640414.2011.557744
    1. Wong SL, Colley R, Connor Gorber S, Tremblay M. Actical accelerometer sedentary activity thresholds for adults. J Phys Act Health 2011;8:587-91. 10.1123/jpah.8.4.587
    1. Johnson CL, Paulose-Ram R, Ogden CL, et al. National Health and Nutrition Examination Survey: Analytic guidelines, 1999-2010. National Center for Health Statistics. Vital Health Stat 2013;2(161).
    1. White IR. Multivariate random-effects meta-analysis. Stata J 2009;9:40-56 10.1177/1536867X0900900103.
    1. Liu Q, Cook NR, Bergström A, et al. A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data. Comput Stat Data Anal 2009;53:4157-67 10.1016/j.csda.2009.05.001
    1. Orsini N, Li R, Wolk A, Khudyakov P, Spiegelman D. Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. Am J Epidemiol 2012;175:66-73. 10.1093/aje/kwr265
    1. Discacciati A, Crippa A, Orsini N. Goodness of fit tools for dose-response meta-analysis of binary outcomes. Res Synth Methods 2017;8:149-60. 10.1002/jrsm.1194
    1. Duncan S, Stewart T, Bo Schneller M, Godbole S, Cain K, Kerr J. Convergent validity of ActiGraph and Actical accelerometers for estimating physical activity in adults. PLoS One 2018;13:e0198587. 10.1371/journal.pone.0198587
    1. Hansen BH, Kolle E, Dyrstad SM, Holme I, Anderssen SA. Accelerometer-determined physical activity in adults and older people. Med Sci Sports Exerc 2012;44:266-72. 10.1249/MSS.0b013e31822cb354
    1. Bakrania K, Edwardson CL, Khunti K, et al. Associations of objectively measured moderate-to-vigorous-intensity physical activity and sedentary time with all-cause mortality in a population of adults at high risk of type 2 diabetes mellitus. Prev Med Rep 2017;5:285-8. 10.1016/j.pmedr.2017.01.013
    1. Jefferis BJ, Parsons TJ, Sartini C, et al. Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: does volume of activity matter more than pattern of accumulation? Br J Sports Med 2018. Feb 12. pii: bjsports-2017-098733.
    1. Allison DB, Heo M, Flanders DW, Faith MS, Williamson DF. Examination of “early mortality exclusion” as an approach to control for confounding by occult disease in epidemiologic studies of mortality risk factors. Am J Epidemiol 1997;146:672-80. 10.1093/oxfordjournals.aje.a009334
    1. Keadle SK, Shiroma EJ, Freedson PS, Lee IM. Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study. BMC Public Health 2014;14:1210. 10.1186/1471-2458-14-1210
    1. Evenson KR, Wen F, Herring AH, et al. Calibrating physical activity intensity for hip-worn accelerometry in women age 60 to 91 years: The Women’s Health Initiative OPACH Calibration Study. Prev Med Rep 2015;2:750-6. 10.1016/j.pmedr.2015.08.021
    1. ROBINS-I tool. Cochrane Methods assessed June 8th 2019.
    1. Lear SA, Hu W, Rangarajan S, et al. The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: the PURE study. Lancet 2017;390:2643-54. 10.1016/S0140-6736(17)31634-3
    1. Manini TM, Everhart JE, Patel KV, et al. Daily activity energy expenditure and mortality among older adults. JAMA 2006;296:171-9. 10.1001/jama.296.2.171
    1. Buchman AS, Yu L, Boyle PA, Shah RC, Bennett DA. Total daily physical activity and longevity in old age. Arch Intern Med 2012;172:444-6. 10.1001/archinternmed.2011.1477
    1. Chastin SFM, De Craemer M, De Cocker K, et al. How does light-intensity physical activity associated with adult cardiometabolic health and mortality? Systematic review with meta-analysis of experimental and observational studies. Br J Sports Med 2018; Apr 25. pii: bjsports-2017-097563.
    1. Piercy KL, Troiano RP, Ballard RM, et al. The physical activity guidelines for Americans. JAMA 2018;320:2020-8. 10.1001/jama.2018.14854.
    1. Kaminsky LA, Arena R, Myers J. Reference standards for cardio-respiratory fitness measured with cardio-pulmonary exercise testing: data from the fitness registry and the importance of exercise national database. Mayo Clin Proc 2015;90:1515-23. 10.1016/j.mayocp.2015.07.026
    1. Working paper: Draft review and recommendation for adults accessed December 28th 2018.
    1. Arem H, Moore SC, Patel A, et al. Leisure time physical activity and mortality: a detailed pooled analysis of the dose-response relationship. JAMA Intern Med 2015;175:959-67. 10.1001/jamainternmed.2015.0533
    1. Stamatakis E, Ekelund U, Ding D, Hamer M, Bauman A, Lee IM. Is it time for quantitative public health guidelines on sitting? A narrative review of sedentary behaviour research paradigms and findings. Br J Sports Med 2018. Jun 10. pii: bjsports-2018-099131.
    1. Centers for Disease Control and Prevention. Active people, healthy nation accessed April 1st 2019.
    1. Global action plan on physical activity 2018-2030: more active people for a healthier world. World Health Organization, 2018.

Source: PubMed

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