Association between questionnaire-and accelerometer-assessed physical activity: The role of sociodemographic factors

American Journal of Epidemiology

Volumn 179, Issue 6, 2014, Pages 781-790

  Sabia, Séverine ^a   Van Hees, Vincent T ^b   Shipley, Martin J ^a,b   Trenell, Michael I ^a,b   Hagger Johnson, Gareth ^a,b   Elbaz, Alexis ^a,b   Kivimaki, Mika ^a,b   Singh Manoux, Archana ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

accelerometry; cohort studies; elderly; epidemiologic methods; physical activity; questionnaires

Indexed keywords

ACCELEROMETER; AGING POPULATION; CORRELATION; HEALTH RISK; HEALTH SURVEY; OCCUPATION; PHYSICAL ACTIVITY; QUESTIONNAIRE SURVEY;

ACCELEROMETER; ADULT; AGED; ARTICLE; DEMOGRAPHY; EDUCATION; FEMALE; GARDENING; HOUSEHOLD; HUMAN; MAJOR CLINICAL STUDY; MALE; MARRIAGE; MIDDLE AGED; OCCUPATION; PHYSICAL ACTIVITY; QUESTIONNAIRE; SELF REPORT; SOCIAL STATUS; SPORT; VERY ELDERLY; WRIST;

UNITED KINGDOM;

ACCELEROMETRY; COHORT STUDIES; ELDERLY; EPIDEMIOLOGIC METHODS; PHYSICAL ACTIVITY; QUESTIONNAIRES;

ACCELEROMETRY; AGED; AGED, 80 AND OVER; COHORT STUDIES; DATA COLLECTION; EXERCISE; FEMALE; GREAT BRITAIN; HEALTH SURVEYS; HUMANS; MALE; MIDDLE AGED; QUESTIONNAIRES; SELF REPORT; SOCIOECONOMIC FACTORS;

EID: 84895862338     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwt330     Document Type: Article

References (55)

1. Lee IM, Shiroma EJ, Lobelo F, et al.Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy.Lancet.2012; 380(9838):219-229.
2. Van Hees, V.The challenge of assessing physical activity in populations.Lancet.2012;380(9853):1555-1556.
3. Lee PH, Macfarlane DJ, Lam TH, et al.Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review.Int J Behav Nutr Phys Act.2011;8:115.
4. Prince SA, Adamo KB, HamelME, et al.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.
5. Craig CL, Marshall AL, Sjostrom M, et al.International Physical Activity Questionnaire: 12-country reliability and validity.Med Sci Sports Exerc.2003;35(8):1381-1395.
6. Kim Y, Park I, Kang M.Convergent validity of the International Physical Activity Questionnaire (IPAQ): meta-analysis.Public Health Nutr.2013;16(3):440- 452.
7. Mader U, Martin BW, Schutz Y, et al.Validity of four short physical activity questionnaires in middle-aged persons.Med Sci Sports Exerc.2006;38(7):1255-1266.
8. Cust AE, Smith BJ, Chau J, et al.Validity and repeatability of the EPIC physical activity questionnaire: a validation study using accelerometers as an objective measure.Int J Behav Nutr Phys Act.2008;5:33.
9. Ferrari P, Friedenreich C, Matthews CE.The role of measurement error in estimating levels of physical activity.Am J Epidemiol.2007;166(7):832-840.
10. Friedenreich CM, Courneya KS, Neilson HK, et al.Reliability and validity of the Past Year Total Physical Activity Questionnaire.Am J Epidemiol. 2006;163(10):959-970.
11. Hagstromer M, Ainsworth BE, Oja P, et al.Comparison of a subjective and an objective measure of physical activity in a population sample.J Phys Act Health.2010;7(4):541-550.
12. Lee PH, Yu YY, McDowell I, et al.Performance of the International Physical Activity Questionnaire (Short Form) in subgroups of the Hong Kong Chinese population.Int J Behav Nutr Phys Act.2011;8:81.
13. Scheers T, Philippaerts R, Lefevre J.Assessment of physical activity and inactivity in multiple domains of daily life: a comparison between a computerized questionnaire and the SenseWear Armband complemented with an electronic diary.Int J Behav Nutr Phys Act.2012;9:71.
14. Slootmaker SM, Schuit AJ, Chinapaw MJM, et al.Disagreement in physical activity assessed by accelerometer and self-report in subgroups of age, gender, education and weight status.Int J Behav Nutr Phys Act.2009;6:17.
15. Tooze JA, Troiano RP, Carroll RJ, et al.A measurement error model for physical activity level as measured by a questionnaire with application to the 1999-2006 NHANES questionnaire.Am J Epidemiol.2013;177(11):1199-1208.
16. Marmot MG, Smith GD, Stansfeld S, et al.Health inequalities among British civil servants: the Whitehall II study.Lancet.1991;337(8754):1387-1393.
17. Jacobs DR Jr, Ainsworth BE, Hartman TJ, et al.A simultaneous evaluation of 10 commonly used physical activity questionnaires.Med Sci Sports Exerc.1993;25(1):81-91.
18. Richardson MT, Leon AS, Jacobs DR Jr, et al.Comprehensive evaluation of the Minnesota Leisure Time Physical Activity Questionnaire.J Clin Epidemiol.1994;47(3):271-281.
19. Whitehall II Study Team.Health Survey: Stress and Health Study.London, United Kingdom: University College London; 2010:38-43.(http://www.ucl.ac.uk/ whitehallII/pdf/S7-HSQ.pdf).(Accessed December 3, 2013).
20. Ainsworth BE, Haskell WL, Herrmann SD, et al.2011 Compendium of Physical Activities: a second update of codes and MET values.Med Sci Sports Exerc.2011;43(8): 1575-1581.
21. Sabia S, Dugravot A, Kivimaki M, et al.Effect of intensity and type of physical activity on mortality: results from the Whitehall II cohort study.Am J Public Health.2012;102(4): 698-704.
22. Lukowicz P, Junker H, Tröster G.Automatic calibration of body worn acceleration sensors.In: Ferscha A, Mattern F, eds.Pervasive Computing: Second International Conference, PERVASIVE 2004.Linz/Vienna, Austria, April 2004.Proceedings.(Lecture Notes in Computer Science, no.3001).New York, NY: Springer Publishing Company; 2004: 176-181.
23. van Hees VT, Gorzelniak L, Dean Leon EC, et al.Separating movement and gravity components in an acceleration signal and implications for the assessment of human daily physical activity.PLoS One.2013;8(4):e61691.
24. Hiden H, Woodman S, Watson P, et al.Developing cloud applications using the e-Science central platform.Philos Trans A Math Phys Eng Sci.2013;371(1983): 20120085.
25. van Hees VT, Renstrom F, Wright A, et al.Estimation of daily energy expenditure in pregnant and non-pregnant women using a wrist-worn tri-axial accelerometer.PLoS One.2011;6(7): e22922.
26. Catellier DJ, Hannan PJ, Murray DM, et al.Imputation of missing data when measuring physical activity by accelerometry.Med Sci Sports Exerc.2005;37(11 suppl): S555-S562.
27. Buchman AS, Boyle PA, Yu L, et al.Total daily physical activity and the risk of AD and cognitive decline in older adults.Neurology.2012;78(17):1323- 1329.
28. Buman MP, Hekler EB, Haskell WL, et al.Objective light-intensity physical activity associations with rated health in older adults.Am J Epidemiol.2010;172(10):1155-1165.
29. Hagstromer M, Oja P, Sjostrom M.Physical activity and inactivity in an adult population assessed by accelerometry.Med Sci Sports Exerc.2007;39(9):1502- 1508.
30. Healy GN, Matthews CE, Dunstan DW, et al.Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06.Eur Heart J.2011;32(5):590-597.
31. 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): 1012-1020.
32. Kozakova M, Palombo C, Morizzo C, et al.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):1511-1519.
33. Ottevaere C, Huybrechts I, De Bourdeaudhuij I, et al.Comparison of the IPAQ-A and Actigraph in relation to VO2max among European adolescents: the HELENA study.J Sci Med Sport.2011;14(4):317-324.
34. Troiano RP, Berrigan D, Dodd KW, et al.Physical activity in the United States measured by accelerometer.Med Sci Sports Exerc.2008;40(1):181-188.
35. Vallance JK, Winkler EA, Gardiner PA, et al.Associations of objectively-assessed physical activity and sedentary time with depression: NHANES (2005-2006).Prev Med.2011;53(4-5): 284-288.
36. Brage S, Wedderkopp N, Franks PW, et al.Reexamination of validity and reliability of the CSA monitor in walking and running.Med Sci Sports Exerc.2003;35(8):1447-1454.
37. Esliger DW, Rowlands AV, Hurst TL, et al.Validation of the GENEA accelerometer.Med Sci Sports Exerc.2011;43(6): 1085-1093.
38. Freedson PS, Melanson E, Sirard J.Calibration of the Computer Science and Applications, Inc.accelerometer.Med Sci Sports Exerc.1998;30(5):777-781.
39. Ham SA, Reis JP, Strath SJ, et al.Discrepancies between methods of identifying objectively determined physical activity.Med Sci Sports Exerc.2007;39(1):52-58.
40. Hendelman D, Miller K, Baggett C, et al.Validity of accelerometry for the assessment of moderate intensity physical activity in the field.Med Sci Sports Exerc.2000;32(9 suppl): S442-S449.
41. Matthew CE.Calibration of accelerometer output for adults.Med Sci Sports Exerc.2005;37(11 suppl):S512-S522.
42. Swartz AM, Strath SJ, Bassett DR Jr, et al.Estimation of energy expenditure using CSA accelerometers at hip and wrist sites.Med Sci Sports Exerc.2000;32(9 suppl):S450-S456.
43. Skotte J, Korshøj M, Kristiansen J, et al.Detection of physical activity types using triaxial accelerometers.J Phys Act Health.2014;11(1):76-84.
44. van Hees VT, Golubic R, Ekelund U, et al.Impact of study design on development and evaluation of an activity-type classifier.J Appl Physiol.2013;114(8):1042-1051.
45. Zhang S, Murray P, Zillmer R, et al.Activity classification using the GENEA: optimum sampling frequency and number of axes.Med Sci Sports Exerc.2012;44(11): 2228-2234.
46. Zhang S, Rowlands AV, Murray P, et al.Physical activity classification using the GENEAwrist-worn accelerometer.Med Sci Sports Exerc.2012;44(4):742-748.
47. Rosenberger ME, Haskell WL, Albinali F, et al.Estimating activity and sedentary behavior from an accelerometer on the hip or wrist.Med Sci Sports Exerc.2013;45(5):964-975.
48. The InterAct Consortium.Validity of a short questionnaire to assess physical activity in 10 European countries.Eur J Epidemiol.2012;27(1):15-25.
49. Hekler EB, Buman MP, Haskell WL, et al.Reliability and validity of CHAMPS self-reported sedentary-to-vigorous intensity physical activity in older adults.J Phys Act Health.2012;9(2):225-236.
50. Bassett DR Jr, Ainsworth BE, Swartz AM, et al.Validity of four motion sensors in measuring moderate intensity physical activity.Med Sci Sports Exerc.2000;32(9 suppl): S471-S480.
51. Crouter SE, Dellavalle DM, Haas JD, et al.Validity of ActiGraph 2-regression model, Matthews cut-points, and NHANES cut-points for assessing free-living physical activity.J Phys Act Health.2013;10(4):504-514.
52. Welch WA, Bassett DR, Thompson DL, et al.Classification accuracy of the wrist-worn Gravity Estimator of Normal Everyday Activity accelerometer.Med Sci Sports Exerc.2013; 45(10):2012-2019.
53. Bauman AE, Reis RS, Sallis JF, et al.Correlates of physical activity: why are some people physically active and others not? Lancet.2012;380(9838):258- 271.
54. Stiles VH, Griew PJ, Rowlands AV.Use of accelerometry to classify activity beneficial to bone in premenopausal women.Med Sci Sports Exerc.2013;45(12):2353-2361.
55. King AC, Guralnik JM.Maximizing the potential of an aging population.JAMA.2010;304(17):1944-1945.