A hybrid online intervention for reducing sedentary behavior in obese women

Frontiers in Public Health

Volumn 1, Issue OCT, 2013, Pages

  Adams, Melanie M ^a   Davis, Paul G ^b   Gill, Diane L ^b  

^a KEENE STATE COLLEGE   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT GREENSBORO   (United States)

Author keywords

Accelerometer; Computer; Inactivity; Physical activity; Waist circumference

Indexed keywords

EID: 85012066581     PISSN: None     EISSN: 22962565     Source Type: Journal    
DOI: 10.3389/fpubh.2013.00045     Document Type: Article

References (38)

1. Owen N, Healy GN, Matthews CE, Dunstan DW. Too much sitting: the population health science of seden-tary behavior. Exerc Sport Sci Rev (2010) 38(3):105-13. doi:10.1097/ JES.0b013e3181e373a2
2. Hamilton M, Healy G, Dunstan D, Zderic T,OwenN. Too little exercise and too much sitting: Inactivity physiology and the need for new recommendations on seden-tary behavior. Curr Cardiovasc Risk Rep (2008) 2(4):292-8. doi:10.1007/ s12170-008-0054-8
3. Thorp AA, Healy GN, Owen N, Salmon J, Ball K, Shaw JE, et al. Deleterious associations of sitting time and television viewing time with cardiometabolic risk biomark-ers:Australian diabetes,Obesity and Lifestyle (AusDiab) study 2004-2005. Diabetes Care (2010) 33(2): 327-34. doi:10.2337/dc09-0493
4. Healy GN, Matthews CE, Dunstan DW, Winkler EAH, Owen N. Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003-06. Eur Heart J (2011) 32:590-7. doi:10.1093/eurheartj/ehq451
5. Pate R, O'Neill J, Lobelo F. The evolving definition of "seden-tary." Exerc Sport Sci Rev (2008) 36(4):173-8. doi:10.1097/JES. 0b013e3181877d1a
6. Healy GN, Dunstan D, Salmon J, Cerin E, Shaw JE, Zimmet PZ, et al. Breaks in sedentary time: beneficial associations with metabolic risk. Diabetes Care (2008) 31(4):661-6. doi:10.2337/dc07-2046
7. Levine JA, Lanningham-Foster L, McCrady SK, Krizan A, Olson L, Kane P, et al. Interindividual vari-ation in posture allocation: pos-sible role in human obesity. Sci-ence (2005) 307(5709):584-6. doi: 10.1126/science.1106561
8. Johannsen DL, Welk GJ, Sharp RL, Flakoll PJ. Differences in daily energy expenditure in lean and obese women: the role of posture allocation. Obesity (2007) 16(1):34-9. doi:10.1038/ oby.2007.15
9. Otten JJ, Jones KE, Littenberg B, Harvey-Berino J. Effects of television viewing reduction on energy intake and expendi-ture in overweight and obese adults: a randomized controlled trial. Arch Intern Med (2009) 169(22):2109-15. doi:10.1001/ archinternmed.2009.430
10. Dewa CS, de Ruiter W, Chau N, Karioja K. Walking for well-ness: using pedometers to decrease sedentary behaviour and promote mental health. Int J Ment Health Promot (2009) 11(2):24-8. doi:10. 1080/14623730.2009.9721784
11. Gardiner P, Eakin E,Healy G, Owen N. Feasibility of reducing older adults' sedentary behavior. Am J Prev Med (2011) 41(2):174-7. doi: 10.1016/j.amepre.2011.03.020
12. Gilson ND, Puig-Ribera A, McKenna J, Brown WJ, Burton NW, Cooke CB. Do walking strate-gies to increase physical activity reduce reported sitting in work-places: a randomized control trial. Int J Behav Nutr Phys Act (2009) 6:1-7. doi:10.1186/1479-5868-6-43
13. Dunn AL, Andersen RE, Jaki-cic JM. Lifestyle physical activity interventions: history, short-and long-term effects, and recommen-dations. Am J Prev Med (1998) 15(4):398-412. doi:10.1016/S0749-3797(98)00084-1
14. Pekmezi DW, Williams DM, Dun-siger S, Jennings E, Lewis B, Jaki-cic JM, et al. Feasibility of using computer-tailored and internet-based interventions to promote physical activity in underserved populations. Telemed J E-Health (2010) 16:498-503. doi:10.1089/ tmj.2009.0135
15. Carroll JK, Lewis BA, Marcus BH, Lehman EB, Shaffer ML, Scia-manna CN. Computerized tailored physical activity reports: a ran-domized controlled trial. Am J Prev Med (2010) 39:148-56. doi:10. 1016/j.amepre.2010.04.005
16. Steele RM, Mummery WK, Dwyer T. A comparison of face-to-face or Internet-delivered physical activity intervention on tar-geted determinants. Health Educ Behav (2009) 36(6):1051-64. doi:10.1177/1090198109335802
17. Ciccolo J, Lewis B, Marcus B. Internet-based physical activity interventions. Curr Cardiovasc Risk Rep (2008) 2(4):299-304. doi:10.1007/s12170-008-0055-7
18. Spittaels H, De Bourdeaudhuij I, Brug J, Vandelanotte C. Effective-ness of an online computer-tailored physical activity intervention in a real-life setting. Health Educ Res (2007) 22(3):385-96. doi:10.1093/ her/cyl096
19. Plotnikoff RC, McCargar LJ, Wil-son PM, Loucaides CA. Efficacy of an e-mail intervention for the promotion of physical activity and nutrition behavior in the work-place context. Am J Health Promot (2005) 19(6):422-39. doi:10.4278/ 0890-1171-19.6.422
20. TOPS. What is TOPS Milwaukee, WI. (2011). Available from: http: //www.tops.org/TOPSInformation/ AboutTOPS.aspx
21. Matthews CE. Calibration of accelerometer output for adults. Med Sci Sports Exerc (2005) 11(Suppl):S512-21. doi:10.1249/ 01.mss.0000185659.11982.3d
22. Freedson PS, Melanson E, Sirard J. Calibration of the computer science and applications, Inc. accelerome-ter. Med Sci Sports Exerc (1998) 30(5):777-81.
23. Gardiner P, Clark BK, Healy G, Eakin E,Winkler E, Owen N. Mea-suring older adults' sedentary time: reliability, validity and responsive-ness. Med Sci Sports Exerc (2011) 43(11):2127-33. doi:10.1249/MSS. 0b013e31821b94f7
24. Trost S,McIver K, Pate R. Conduct-ing accelerometer-based activity assessments in ?eld-based research. Med Sci Sports Exerc (2005) 37(11):S531-43. doi:10.1249/01. mss.0000185657.86065.98
25. Tudor-Locke C, JohnsonWD, Katz-marzyk PT. US population pro?le of time-stamped accelerometer out-puts: impact of wear time. J Phys Act Health (2011) 8(5):693-8.
26. Oliver M, Schofield G, Badland HM, Shepherd J. Identification of accelerometer non-wear time and sedentary behavior. Res Q Exerc Sport (2011) 82(4):779-83. doi:10. 1080/02701367.2011.10599814
27. Godin G, Shephard R. Godin leisure-time exercise question-naire. Med Sci Sports Exerc (1997) 29:S36-8. doi:10.1097/00005768-199706001-00009
28. Godin G, Shephard R. A simple method to assess exercise behavior in the community. Can J Appl Sport Sci (1985) 10:141-6.
29. Salmon J, Owen N, Crawford D, Bauman A, Sallis JF. Physical activity and sedentary behavior: a population-based study of barriers, enjoyment, and preference. Health Psychol (2003) 22(2):178-88. doi: 10.1037/0278-6133.22.2.178
30. Willis LH, Slentz CA, Houmard JA, Johnson JL, Duscha BD, Aiken LB, et al. Minimal versus umbil-ical waist circumference measures as indicators of cardiovascular disease risk[ast]. Obesity (2007) 15(3):753-9. doi:10.1038/oby.2007. 612
31. Sandmaier M. Your Guide to a Healthy Heart. Bethesda, MD: National Institutes ofHealth (2005). 88 p.
32. Klein S, Allison DB, Heymsfield SB, Kelley DE, Leibel RL, Nonas C, et al. Waist circumference and cardiometabolic risk: a consensus statement from shaping america's health: association for weight man-agement and obesity prevention; NAASO, the obesity society; the American Society forNutrition; and the American Diabetes Association. Obesity (2007) 15(5):1061-7. doi: 10.1038/oby.2007.632
33. Slentz CA, Duscha BD, Johnson JL, Ketchum K, Aiken LB, Samsa GP, et al. Effects of the amount of exer-cise on body weight, body com-position, and measures of central obesity: STRRIDEâC"a random-ized controlled study. Arch Intern Med (2004) 164:31-9. doi:10.1001/ archinte.164.1.31
34. Ekkekakis P, Lind E. Exercise does not feel the same when you are overweight: the impact of self-selected and imposed intensity on affect and exertion. Int J Obes (2006) 30:652-60. doi:10.1038/sj. ijo.0803052
35. Clemes SA. Evaluation of a com-mercially available pedometer used to promote physical activity as part of a national programme. Br J Sports Med (2010) 44(16):1178-83. doi:10. 1136/bjsm.2009.061085
36. Tudor-Locke C, Brashear MM, Johnson WD, Katzmarzy PT. Accelerometer pro?les of phys-ical activity and inactivity in normal weight, overweight, and obese U.S. men and women. Int J Behav Nutr Phys Act (2010) 7:60. doi:10.1186/1479-5868-7-60
37. Matthews CE, Chen K, Freedson P, Buchowski M, Beech B, Pate R, et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol (2008) 167(7):875-81. doi:10.1093/ aje/kwm390
38. US Department of Agriculture. Measuring Rurality: Rural-Urban ContinuumCodes.Washington,DC: USDA (2004).