The Objective Physical Activity and Cardiovascular Disease Health in Older Women (OPACH) Study

BMC Public Health

Volumn 17, Issue 1, 2017, Pages

  LaCroix, Andrea Z ^a   Rillamas Sun, Eileen ^b   Buchner, David ^c   Evenson, Kelly R ^d   Di, Chongzhi ^b   Lee, I Min ^e   Marshall, Steve ^d   LaMonte, Michael J ^f   Hunt, Julie ^b   Tinker, Lesley Fels ^b   Stefanick, Marcia ^g   Lewis, Cora E ^h   Bellettiere, John ^a   Herring, Amy H ^d  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Fred Hutchinson Cancer Research Center   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d IL   (United States)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

^f UNIVERSITY AT BUFFALO   (United States)

^g STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^h University of Alabama at Birmingham   (United States)

Author keywords

Accelerometer; Cardiovascular disease; Falls; Mortality; Older women; Physical activity; Postmenopausal; Sedentary behavior; Sleep

Indexed keywords

ACCELEROMETRY; AGED; AGING; CARDIOVASCULAR DISEASES; ELDERLY CARE; ETHNIC GROUP; EXERCISE; FEMALE; HEALTH SERVICE; HUMAN; METHODOLOGY; MIDDLE AGED; QUESTIONNAIRE; UNITED STATES; VERY ELDERLY;

ACCELEROMETRY; AGED; AGED, 80 AND OVER; AGING; CARDIOVASCULAR DISEASES; ETHNIC GROUPS; EXERCISE; FEMALE; HEALTH SERVICES FOR THE AGED; HUMANS; MIDDLE AGED; RESEARCH DESIGN; SURVEYS AND QUESTIONNAIRES; UNITED STATES; WOMEN'S HEALTH SERVICES;

EID: 85013469735     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/s12889-017-4065-6     Document Type: Article

References (40)

1. U.S. Department of Health and Human Services, Health Resources and Services Administration. Women’s Health USA 2013. Rockville: U.S. Department of Health and Human Services; 2013. [http://mchb.hrsa.gov/whusa13/dl/pdf/whusa13.pdf], Accessed 03 May 2015.
2. U.S. Census Bureau. National population projections: summary tables. 2014. [https://www.census.gov/population/projections/data/national/2014/summarytables.html] Accessed 02 Apr 2015.
3. Crimmins EM, Beltran-Sanchez H. Mortality and morbidity trends: is there compression of morbidity? J Gerontol B Psychol Sci Soc Sci. 2011;66(1):75-86.
4. Harris-Kojetin L, Sengupta M, Park-Lee E, Valverde R, Caffrey C, Rome V, et al. Long-term care providers and services users in the United States: data from the national study of long-term care providers, 2013-2014. National center for health statistics. Vital Health Stat 3. 2016;38(38):1-118.
5. Rice DP. Older women’s health and access to care. Women’s Health Issues. 2000;10(2):42-6.
6. Spillman BC, Lubitz J. The effect of longevity on spending for acute and long-term care. N Engl J Med. 2000;342(19):1409-15.
7. U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans. Washington, DC: U.S. Dept. of Health and Human Services; 2008.
8. Tucker JM, Welk GJ, Beyler NK. Physical activity in U.S.: adults compliance with the physical activity guidelines for Americans. Am J Prev Med. 2011;40(4):454-61.
9. Dunlop DD, Song J, Arnston EK, Semanik PA, Lee J, Chang RW, et al. Sedentary time in US older adults associated with disability in activities of daily living independent of physical activity. J Phys Act Health. 2015;12(1):93-101.
10. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008;167(7):875-81.
11. 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.
12. Design of the Women’s Health Initiative clinical trial and observational study. The Women’s Health Initiative Study Group. Control Clin Trials. 1998; 19(1):61-109.
13. Anderson GL, Manson J, Wallace R, Lund B, Hall D, Davis S, et al. Implementation of the women’s health initiative study design. Ann Epidemiol. 2003;13(9 Suppl):S5-17.
14. Guralnik JM, Ferrucci L, Pieper CF, Leveille SG, Markides KS, Ostir GV, et al. Lower extremity function and subsequent disability: consistency across studies, predictive models, and value of gait speed alone compared with the short physical performance battery. J Gerontol A Biol Sci Med Sci. 2000;55(4):M221-31.
15. Simonsick EM, Newman AB, Nevitt MC, Kritchevsky SB, Ferrucci L, Guralnik JM, et al. Measuring higher level physical function in well-functioning older adults: expanding familiar approaches in the health ABC study. J Gerontol A Biol Sci Med Sci. 2001;56(10):M644-9.
16. Curb JD, McTiernan A, Heckbert SR, Kooperberg C, Stanford J, Nevitt M, et al. Outcomes ascertainment and adjudication methods in the women’s health initiative. Ann Epidemiol. 2003;13(9 Suppl):S122-8.
17. Meyer AM, Evenson KR, Morimoto L, Siscovick D, White E. Test-retest reliability of the women’s health initiative physical activity questionnaire. Med Sci Sports Exerc. 2009;41(3):530-8.
18. Rillamas-Sun E, Buchner DM, Di C, Evenson KR, LaCroix AZ. Development and application of an automated algorithm to identify a window of consecutive days of accelerometer wear for large-scale studies. BMC Res Notes. 2015;8:270.
19. McVeigh JA, Winkler EAH, Healy GN, Slater J, Eastwood PR, Straker LM. Validity of an automated algorithm to identify waking and in-bed wear time in hip-worn accelerometer data collected with a 24-hour wear protocol in young adults. Physiol Meas. 2016. (in press).
20. Tracy DJ, Xu Z, Choi L, Acra S, Chen KY, Buchowski MS. Separating bedtime rest from activity using waist or wrist-worn accelerometers in youth. PloS One. 2014;9(4):e92512.
21. 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.
22. Choi L, Ward SC, Schnelle JF, Buchowski MS. Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Med Sci Sports Exerc. 2012;44(10):2009-16.
23. Ware Jr JE, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473-83.
24. Evenson KR, Wen F, Herring AH, Di C, LaMonte MJ, Tinker LF, Lee IM, 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.
25. Evenson KR, Buchner DM, Morland KB. Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older. Prev Chronic Dis. 2012;9:E26.
26. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc accelerometer. Med Sci Sports Exerc. 1998;30(5):777-81.
27. Hall KS, Howe CA, Rana SR, Martin CL, Morey MC. METs and accelerometry of walking in older adults: standard versus measured energy cost. Med Sci Sports Exerc. 2013;45(3):574-82.
28. Kozey S, Lyden K, Staudenmayer J, Freedson P. Errors in MET estimates of physical activities using 3.5 ml x kg(−1) x min(−1) as the baseline oxygen consumption. J Phys Act Health. 2010;7(4):508-16.
29. Buchner DM, Campbell AJ. Inactivity as a risk factor for activity-related injuries. Am J Prev Med. 2010;39(1):102-3.
30. Sherrington C, Whitney JC, Lord SR, Herbert RD, Cumming RG, Close JC. Effective exercise for the prevention of falls: a systematic review and meta-analysis. J Am Geriatr Soc. 2008;56(12):2234-43.
31. Kerr J, Marshall SJ, Godbole S, Chen J, Legge A, Doherty AR, et al. Using the SenseCam to improve classifications of sedentary behavior in free-living settings. Am J Prev Med. 2013;44(3):290-6.
32. Lee IM, Sesso HD, Oguma Y, Paffenbarger Jr RS. Relative intensity of physical activity and risk of coronary heart disease. Circulation. 2003;107(8):1110-6.
33. Wisen AG, Farazdaghi RG, Wohlfart B. A novel rating scale to predict maximal exercise capacity. Eur J Appl Physiol. 2002;87(4-5):350-7.
34. Gibbs BB, Reis JP, Schelbert EB, Craft LL, Sidney S, Lima J, et al. Sedentary screen time and left ventricular structure and function: the CARDIA study. Med Sci Sports Exerc. 2014;46(2):276-83.
35. Rosenberg DE, Norman GJ, Wagner N, Patrick K, Calfas KJ, Sallis JF. Reliability and validity of the Sedentary Behavior Questionnaire (SBQ) for adults. J Phys Act Health. 2010;7(6):697-705.
36. Kempen GI, Yardley L, van Haastregt JC, Zijlstra GA, Beyer N, Hauer K, et al. The short FES-I: a shortened version of the falls efficacy scale-international to assess fear of falling. Age Ageing. 2008;37(1):45-50.
37. Cummings SR, Nevitt MC, Kidd S. Forgetting falls. The limited accuracy of recall of falls in the elderly. J Am Geriatr Soc. 1988;36(7):613-6.
38. Berrigan D, Troiano RP. The association between urban form and physical activity in U.S. adults. Am J Prev Med. 2002;23(2 Suppl):74-9.
39. Saelens BE, Sallis JF, Black JB, Chen D. Neighborhood-based differences in physical activity: an environment scale evaluation. Am J Public Health. 2003;93(9):1552-8.
40. Stewart AL, Mills KM, King AC, Haskell WL, Gillis D, Ritter PL. CHAMPS physical activity questionnaire for older adults: outcomes for interventions. Med Sci Sports Exerc. 2001;33(7):1126-41.