Utilization and Harmonization of Adult Accelerometry Data: Review and Expert Consensus

Medicine and Science in Sports and Exercise

Volumn 47, Issue 10, 2015, Pages 2129-2139

  Wijndaele, Katrien ^a   Westgate, Kate ^a   Stephens, Samantha K ^b   Blair, Steven N ^c   Bull, Fiona C ^d   Chastin, Sebastien F M ^e   Dunstan, David W ^f   Ekelund, Ulf ^a,g   Esliger, Dale W ^h,i   Freedson, Patty S ^j   Granat, Malcolm H ^k   Matthews, Charles E ^l   Owen, Neville ^f   Rowlands, Alex V ⁱ   Sherar, Lauren B ^h,m   Tremblay, Mark S ^n,o   Troiano, Richard P ^l   Brage, SØren ^a   Healy, Genevieve N ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF SOUTH CAROLINA   (United States)

^d UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^e GLASGOW CALEDONIAN UNIVERSITY   (United Kingdom)

^f BAKER IDI HEART AND DIABETES INSTITUTE   (Australia)

^g NORWEGIAN SCHOOL OF SPORT SCIENCES   (Norway)

^h LOUGHBOROUGH UNIVERSITY   (United Kingdom)

ⁱ UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^j UNIVERSITY OF MASSACHUSETTS   (United States)

^k UNIVERSITY OF SALFORD   (United Kingdom)

^l NATIONAL CANCER INSTITUTE   (United States)

^m Lifestyle and Physical Activity Biomedical Research Unit   (United Kingdom)

ⁿ CHILDREN S HOSPITAL OF EASTERN ONTARIO   (Canada)

^o UNIVERSITY OF OTTAWA   (Canada)

more..

Author keywords

ACCELEROMETRY; ADULT; GLOBAL; PHYSICAL ACTIVITY; POOLING; SEDENTARY; SENSOR

Indexed keywords

ACCELEROMETRY; ADULT; CONSENSUS DEVELOPMENT; DELPHI STUDY; HUMAN; INFORMATION PROCESSING; MOTOR ACTIVITY; PROCEDURES; RESEARCH; SEDENTARY LIFESTYLE; STATISTICS AND NUMERICAL DATA;

ACCELEROMETRY; ADULT; DATA COLLECTION; DELPHI TECHNIQUE; HUMANS; MOTOR ACTIVITY; RESEARCH; SEDENTARY LIFESTYLE;

EID: 84941751889     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0000000000000661     Document Type: Review

References (75)

1. Aresu M, Becares L, Brage S, et al. Health Survey for England 2008-Volume 1 Physical Activity and Fitness. Leeds (United Kingdom): NHS Information Centre; 2009. p. 385.
2. Arnardottir NY, Koster A, Van Domelen DR, et al. Objective measurements of daily physical activity patterns and sedentary behaviour in older adults: Age, gene/environment susceptibility-Reykjavik study. Age Ageing. 2013;42(2):222-9.
3. Assah FK, Ekelund U, Brage S, Mbanya JC, Wareham NJ. Urbanization, physical activity, and metabolic health in sub-Saharan Africa. Diabetes Care. 2011;34(2):491-6.
4. Ayabe M, Yahiro T, Yoshioka M, Higuchi H, Higaki Y, Tanaka H. Objectively measured age-related changes in the intensity distribution of daily physical activity in adults. J Phys Act Health. 2009; 6(4):419-25.
5. Baptista F, Santos DA, Silva AM, et al. Prevalence of the Portuguese population attaining sufficient physical activity. Med Sci Sports Exerc. 2012;44(3):466-73.
6. Bento TC, Romero F, Leitao JC, Mota MP. Portuguese adults physical activity during different periods of the year. Eur J Sport Sci. 2014;14:S352-60.
7. Buman MP, Hekler EB, Haskell WL, et al. Objective lightintensity physical activity associations with rated health in older adults. Am J Epidemiol. 2010;172(10):1155-65.
8. Burgoine T, Forouhi NG, Griffin SJ, Wareham NJ, Monsivais P. Associations between exposure to takeaway food outlets, takeaway food consumption, and body weight in Cambridgeshire, UK: population based, cross sectional study. BMJ. 2014;348:g1464.
9. Chastin SF, Schwarz U, Skelton DA. Development of a consensus taxonomy of sedentary behaviors (SIT): report of Delphi Round 1. PLoS One. 2013;8(12):e82313.
10. Christensen DL, Faurholt-Jepsen D, Boit MK, et al. Cardiorespiratory fitness and physical activity in Luo, Kamba, and Maasai of rural Kenya. Am J Hum Biol. 2012;26(6):723-9.
11. Coleman KJ, Rosenberg DE, Conway TL, et al. Physical activity, weight status, and neighborhood characteristics of dog walkers. Prev Med. 2008;47(3):309-12.
12. Colley RC, Garriguet D, Janssen I, Craig CL, Clarke J, Tremblay MS. Physical activity of Canadian adults: Accelerometer results from the 2007 to 2009 Canadian Health Measures Survey. Health Rep. 2011;22(1):7-14.
13. Coulon SM, Wilson DK, Egan BM. Associations among environmental supports, physical activity, and blood pressure in African-American adults in the PATH trial. Soc Sci Med. 2013;87:108-15.
14. da Silva IC, van Hees VT, Ramires VV, et al. Physical activity levels in three Brazilian birth cohorts as assessed with raw triaxial wrist accelerometry. Int J Epidemiol. 2014;43:1959-68.
15. Dahl-Petersen IK, Bjerregaard P, Brage S, JLrgensen ME. Physical activity energy expenditure is associated with 2-h insulin independently of obesity among Inuit in Greenland. Diabetes Res Clin Pract. 2013;102(3):242-9.
16. Dalkey N, Helmer O. An experimental application of the Delphi method to the use of experts. Manage Sci. 1963;9(3):458-67.
17. Dallal CM, Brinton LA, Matthews CE, et al. Accelerometerbased measures of active and sedentary behavior in relation to breast cancer risk. Breast Cancer Res Treat. 2012;134(3): 1279-90.
18. de Mutsert R, den Heijer M, Rabelink TJ, et al. The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection. Eur J Epidemiol. 2013;28(6):513-23.
19. den Hoed M, Brage S, Zhao JH, et al. Heritability of objectively assessed daily physical activity and sedentary behavior. Am J Clin Nutr. 2013;98(5):1317-25.
20. Denkinger MD, Lukas A, Herbolsheimer F, Peter R, Nikolaus T. Physical activity and other health-related factors predict health care utilisation in older adults: the ActiFE Ulm study. Z Gerontol Geriatr. 2012;45(4):290-7.
21. Dunstan DW, Thorp AA, Healy GN. Prolonged sitting: is it a distinct coronary heart disease risk factor? Curr Opin Cardiol. 2011;26(5):412-9.
22. Ekelund U, Luan J, Sherar LB, et al. Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAMA. 2012;307(7): 704-12.
23. Evenson KR, Sotres-Alvarez D, Deng Y, et al. Accelerometer adherence and performance in a cohort study of US Hispanic adults. Med Sci Sports Exerc. 2014;47(4):725-34.
24. Fraser A, Macdonald-Wallis C, Tilling K, et al. Cohort profile: the Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort. Int J Epidemiol. 2013;42(1):97-110.
25. Gando Y, Yamamoto K, Murakami H, et al. Longer time spent in light physical activity is associated with reduced arterial stiffness in older adults. Hypertension. 2010;56(3):540-6.
26. Garcia-Ortiz L, Recio-Rodriguez JI, Martin-Cantera C, et al. Physical exercise, fitness and dietary pattern and their relationship with circadian blood pressure pattern, augmentation index and endothelial dysfunction biological markers: EVIDENT study protocol. BMC Public Health. 2010;10:233.
27. Glazer NL, Lyass A, Esliger DW, et al. Sustained and shorter bouts of physical activity are related to cardiovascular health. Med Sci Sports Exerc. 2013;45(1):109-15.
28. Golubic R, Martin KR, Ekelund U, et al. Levels of physical activity among a nationally representative sample of people in early old age: results of objective and self-reported assessments. Int J Behav Nutr Phys Act. 2014;11:58.
29. Gordon-Larsen P, Boone-Heinonen J, Sidney S, Sternfeld B, Jacobs DR Jr, Lewis CE. Active commuting and cardiovascular disease risk: the CARDIA study. Arch Intern Med. 2009;169(13): 1216-23.
30. Hagströmer M, Oja P, Sjöström M. Physical activity and inactivity in an adult population assessed by accelerometry. Med Sci Sports Exerc. 2007;39(9):1502-8.
31. Hamer M, Venuraju SM, Urbanova L, Lahiri A, Steptoe A. Physical activity, sedentary time, and pericardial fat in healthy older adults. Obesity (Silver Spring). 2012;20(10):2113-7.
32. 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(2):266-72.
33. Harris T, Kerry SM, Victor CR, et al. PACE-UP (pedometer and consultation evaluation-UP) - A pedometer-based walking intervention with and without practice nurse support in primary care patients aged 45-75 years: study protocol for a randomised controlled trial. Trials. 2013;14:418.
34. Hayat SA, Luben R, Keevil VL, et al. Cohort profile: A prospective cohort study of objective physical and cognitive capability and visual health in an ageing population of men and women in Norfolk (EPIC-Norfolk 3). Int J Epidemiol. 2014;43(4):1063-72.
35. Henson J, Yates T, Biddle SJ, et al. Associations of objectively measured sedentary behaviour and physical activity with markers of cardiometabolic health. Diabetologia. 2013;56(5):1012-20.
36. Hesketh KR, Goodfellow L, Ekelund U, et al. Activity levels in mothers and their preschool children. Pediatrics. 2014;133(4): e973-80.
37. Howard VJ, Rhodes JD, Hutto B, et al. Successful use of telephone and mail for obtaining usable accelerometer data from a national cohort: the experience of the Reasons for Geographical and Racial Differences in Stroke (REGARDS) study. Circulation. 2013; 127:AP145.
38. Hsu C, Sandford BA. The Delphi technique: making sense of consensus. Pract Assess Res Eval. 2007;12(10):1-8.
39. Husu P, Suni J, Vähä-Ypyä H, et al. Suomalaisten aikuisten kiihtyvyysmittarilla mitattu fyysinen aktiivisuus ja liikkumattomuus. Suomen lääkärilehti (Finnish Med J). 2014;69(25-32):1871-7.
40. Inoue S, Ohya Y, Odagiri Y, et al. Characteristics of accelerometry respondents to a mail-based surveillance study. J Epidemiol. 2010; 20(6):446-52.
41. Jefferis BJ, Sartini C, Lee IM, et al. Adherence to physical activity guidelines in older adults, using objectively measured physical activity in a population-based study. BMC Public Health. 2014; 14:382.
42. Kang B, Moudon AV, Hurvitz PM, Reichley L, Saelens BE. Walking objectively measured: classifying accelerometer data with GPS and travel diaries. Med Sci Sports Exerc. 2013;45(7): 1419-28.
43. Katzmarzyk PT. Standing and mortality in a prospective cohort of Canadian adults. Med Sci Sports Exerc. 2014;46(5):940-6.
44. Kerr J, Sallis JF, Owen N, et al. Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN adult methods. J Phys Act Health. 2013; 10(4):581-601.
45. Kim J, Tanabe K, Yokoyama N, Zempo H, Kuno S. Association between physical activity and metabolic syndrome in middle-aged Japanese: A cross-sectional study. BMC Public Health. 2011;11:624.
46. Kozakova M, Palombo C, Morizzo C, Nolan JJ, Konrad T, Balkau B. Effect of sedentary behaviour and vigorous physical activity on segment-specific carotid wall thickness and its progression in a healthy population. Eur Heart J. 2010;31(12):1511-9.
47. Kwon S, Janz KF, International Children's Accelerometry Database C. Tracking of accelerometry-measured physical activity during childhood: ICAD pooled analysis. Int J Behav Nutr Phys Act. 2012;9:68.
48. Lee IM, Shiroma EJ. Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges. Br J Sports Med. 2014;48(3):197-201.
49. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT. Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy. Lancet. 2012;380(9838):219-29.
50. Lee PH, Yu YY, McDowell I, Leung GM, Lam TH. A cluster analysis of patterns of objectively measured physical activity in Hong Kong. Public Health Nutr. 2013;16(8):1436-44.
51. Loprinzi PD. Objectively measured light and moderate-to-vigorous physical activity is associated with lower depression levels among older US adults. Aging Ment Health. 2013;17(7):801-5.
52. Luke A, Bovet P, Forrester TE, et al. Protocol for the modeling the epidemiologic transition study: A longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk. BMC Public Health. 2011; 11:927.
53. Moore C, Sambrook J, Walker M, et al. The INTERVAL trial to determine whether intervals between blood donations can be safely and acceptably decreased to optimise blood supply: study protocol for a randomised controlled trial. Trials. 2014;15:363.
54. Murakami H, Iemitsu M, Sanada K, et al. Associations among objectively measured physical activity, fasting plasma homocysteine concentration, and MTHFR C677T genotype. Eur J Appl Physiol. 2011;111(12):2997-3005.
55. Oakes JM, Forsyth A, Schmitz KH. The effects of neighborhood density and street connectivity on walking behavior: the Twin Cities walking study. Epidemiol Perspect Innov. 2007;4:16.
56. Ostbye T, Stroo M, Brouwer RJ, et al. The steps to health employee weight management randomized control trial: rationale, design and baseline characteristics. Contemp Clin Trials. 2013; 35(2):68-76.
57. Panter J, Griffin S, Ogilvie D. Correlates of reported and recorded time spent in physical activity in working adults: results from the commuting and health in Cambridge study. PLoS One. 2012;7 (7):e42202.
58. Paul DR, Kramer M, Stote KS, et al. Estimates of adherence and error analysis of physical activity data collected via accelerometry in a large study of free-living adults. BMC Med Res Methodol. 2008;8:38.
59. Peters T, Brage S, Westgate K, et al. Validity of a short questionnaire to assess physical activity in 10 European countries. Eur J Epidemiol. 2012;27(1):15-25.
60. Peters TM, Moore SC, Xiang YB, et al. Accelerometer-measured physical activity in Chinese adults. Am J Prev Med. 2010;38(6): 583-91.
61. Schram MT, Sep SJ, van der Kallen CJ, et al. The Maastricht study: An extensive phenotyping study on determinants of type 2 diabetes, its complications and its comorbidities. Eur J Epidemiol. 2014;29(6):439-51.
62. Shephard RJ, Park H, Park S, Aoyagi Y. Objectively measured physical activity and progressive loss of lean tissue in older Japanese adults: longitudinal data fromthe Nakanojo study. J Am Geriatr Soc. 2013;61(11):1887-93.
63. Sherar LB, Griew P, Esliger DW, et al. International children's accelerometry database (ICAD): design and methods. BMC Public Health. 2011;11:485.
64. Sigmund E, De Ste Croix M, Miklánkova L, Frömel K. Physical activity patterns of kindergarten children in comparison to teenagers and young adults. Eur J Public Health. 2007;17(6): 646-51.
65. Smitherman TA, Dubbert PM, Grothe KB, et al. Validation of the Jackson heart study physical activity survey in African Americans. J Phys Act Health. 2009;6:S124-32.
66. Sundquist K, Eriksson U, Kawakami N, Skog L, Ohlsson H, Arvidsson D. Neighborhood walkability, physical activity, and walking behavior: the Swedish Neighborhood and Physical Activity (SNAP) study. Soc Sci Med. 2011;72(8):1266-73.
67. Tanamas SK, Magliano DJ, Lynch BM, et al. The Australian Diabetes, Obesity and Lifestyle Study. Melbourne (Australia): Baker IDI; 2013.
68. Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults: A systematic review of longitudinal studies, 1996-2011. Am J Prev Med. 2011; 41(2):207-15.
69. Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181-8.
70. Troiano RP, McClain JJ, Brychta RJ, Chen KY. Evolution of accelerometer methods for physical activity research. Br J Sports Med. 2014;48(13):1019-23.
71. Tudor-Locke C, Johnson WD, Katzmarzyk PT. Accelerometerdetermined steps per day in US adults. Med Sci Sports Exerc. 2009;41(7):1384-91.
72. Van Dyck D, Cardon G, Deforche B, Sallis JF, Owen N, De Bourdeaudhuij I. Neighborhood SES and walkability are related to physical activity behavior in Belgian adults. Prev Med. 2010; 50(1 Suppl):S74-9.
73. Webber LS, Rice JC, Johnson CC, Rose D, Srinivasan SR, Berenson GS. Cardiovascular risk factors and physical activity behavior among elementary school personnel: baseline results from the ACTION! worksite wellness program. J Sch Health. 2012;82(9):410-6.
74. Witten K, Blakely T, Bagheri N, et al. Neighborhood built environment and transport and leisure physical activity: findings using objective exposure and outcome measures in New Zealand. Environ Health Perspect. 2012;120(7):971-7.
75. Yoshioka M, Ayabe M, Yahiro T, et al. Long-period accelerometer monitoring shows the role of physical activity in overweight and obesity. Int J Obes (Lond). 2005;29(5): 502-8.