Neighborhood walkability, income, and hour-by-hour physical activity patterns

Medicine and Science in Sports and Exercise

Volumn 45, Issue 4, 2013, Pages 698-705

  Arvidsson, Daniel ^a   Eriksson, Ulf ^a   Lönn, Sara Larsson ^a   Sundquist, Kristina ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

Accelerometer; Geographic Information Systems; Moderate Physical Activity; Road Network Buffers

Indexed keywords

ACCELEROMETRY; ADULT; ARTICLE; CONFIDENCE INTERVAL; CROSS-SECTIONAL STUDY; DEMOGRAPHY; ENVIRONMENTAL PLANNING; EQUIPMENT; FEMALE; HUMAN; INCOME; MALE; MIDDLE AGED; QUESTIONNAIRE; STATISTICS; SWEDEN; TIME; WALKING;

ACCELEROMETRY; ADULT; CONFIDENCE INTERVALS; CROSS-SECTIONAL STUDIES; ENVIRONMENT DESIGN; FEMALE; HUMANS; INCOME; MALE; MIDDLE AGED; QUESTIONNAIRES; RESIDENCE CHARACTERISTICS; SWEDEN; TIME FACTORS; WALKING;

EID: 84878861176     PISSN: 01959131     EISSN: 15300315     Source Type: Journal    
DOI: 10.1249/MSS.0b013e31827a1d05     Document Type: Article

References (29)

1. 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):1575-81.
2. Arvidsson D, Kawakami N, Ohlsson H, Sundquist K. Physical activity and concordance between objective and perceived walkability. Med Sci Sports Exerc. 2012;44(2):280-7.
3. Bassett DR, Rowlands A, Trost SG. Calibration and validation of wearable monitors. Med Sci Sports Exerc. 2012;44(Suppl 1):S32-8.
4. Bauman A, Ma G, Cuevas F, et al; Group EaN-cDRFPC. Crossnational comparisons of socioeconomic differences in the prevalence of leisure-time and occupational physical activity, and active commuting in six Asia-Pacific countries. J Epidemiol Community Health. 2011;65(1):35-43.
5. Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of accelerometer wear and nonwear time classification algorithm. Med Sci Sports Exerc. 2011;43(2):357-64.
6. Cooper AR, Page A, Fox KR, Misson J. Physical activity patterns in normal, overweight and obese individuals using minute-byminute accelerometry. Eur J Clin Nutr. 2000;54(12):887-94.
7. Duncan MJ, Badland HM, Mummery WK. Applying GPS to enhance understanding of transport-related physical activity. J Sci Med Sport. 2009;12(5):549-56.
8. Frank LD, Sallis JF, Saelens BE, et al. The development of a walkability index: application to the Neighborhood Quality of Life Study. Br J Sports Med. 2010;44(13):924-33.
9. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777-81.
10. Fudge BW, Wilson J, Easton C, et al. Estimation of oxygen uptake during fast running using accelerometry and heart rate. Med Sci Sports Exerc. 2007;39(1):192-8.
11. Ham SA, Ainsworth BE. Disparities in data on Healthy People 2010 physical activity objectives collected by accelerometry and self-report. Am J Public Health. 2010;100(Suppl 1):S263-8.
12. Jago R, Anderson CB, Baranowski T, Watson K. Adolescent patterns of physical activity differences by gender, day, and time of day. Am J Prev Med. 2005;28(5):447-52.
13. John D, Tyo B, Bassett DR. Comparison of four ActiGraph accelerometers during walking and running. Med Sci Sports Exerc. 2010;42(2):368-74.
14. Kozey SL, Staudenmayer JW, Troiano RP, Freedson PS. Comparison of the ActiGraph 7164 and the ActiGraph GT1M during self-paced locomotion. Med Sci Sports Exerc. 2010;42(5):971-6.
15. Lee C, Vernez Moudon A. The 3Ds + R: quantifying land use and urban form correlates of walking. Transp Res. 2006;11(3):204-15.
16. Lindström M, Hanson BS, Ostergren PO. Socioeconomic differences in leisure-time physical activity: the role of social participation and social capital in shaping health related behaviour. Soc Sci Med. 2001;52(3):441-51.
17. Loprinzi PD, Cardinal B, Crespo CJ, Brodowicz GR, Andersen RE, Smit E. Differences in demographic, behavioral, and biological variables between those with valid and invalid accelerometry data: implications for generalizability. J Phys Act Health. 2013; 10(1):79-84.
18. Marshall SJ, Jones DA, Ainsworth BE, Reis JP, Levy SS, Macera CA. Race/ethnicity, social class, and leisure-time physical inactivity. Med Sci Sports Exerc. 2007;39(1):44-51.
19. Oliver M, Badland H, Mavoa S, Duncan MJ, Duncan S. Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors. J Phys Act Health. 2010;7(1):102-8.
20. Page A, Cooper AR, Stamatakis E, et al. Physical activity patterns in nonobese and obese children assessed using minute-by-minute accelerometry. Int J Obes (Lond). 2005;29(9):1070-6.
21. R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna (Austria): R Foundation for Statistical Computing; 2012 [cited 2012 June 29]. Available from: http://www.r-project.org.
22. Rothney MP, Apker GA, Song Y, Chen KY. Comparing the performance of three generations of ActiGraph accelerometers. J Appl Physiol. 2008;105(4):1091-7.
23. Sallis JF, Cervero RB, Ascher W, Henderson KA, Kraft MK, Kerr J. An ecological approach to creating active living communities. Annu Rev Public Health. 2006;27:297-322.
24. Sallis JF, Saelens BE, Frank LD, et al. Neighborhood built environment and income: examining multiple health outcomes. Soc Sci Med. 2009;68(7):1285-93.
25. Sirard JR, Forsyth A, Oakes JM, Schmitz KH. Accelerometer test-retest reliability by data processing algorithms: results from the Twin Cities Walking Study. J Phys Act Health. 2011;8(5):668-74.
26. Steele RM, van Sluijs EM, Sharp SJ, Landsbaugh JR, Ekelund U, Griffin SJ. An investigation of patterns of children's sedentary and vigorous physical activity throughout the week. Int J Behav Nutr Phys Act. 2010;7:88.
27. 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.
28. 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(Suppl 1):S74-9.
29. Yngve A, Nilsson A, Sjostrom M, Ekelund U. Effect of monitor placement and of activity setting on the MTI accelerometer output. Med Sci Sports Exerc. 2003;35(2):320-6.