Older adults spend over 8 hours per day sitting, more than any other age group. High sedentary time has now been associated with adverse health impacts (e.g. diabetes, cardiovascular disease related mortality) independent from physical activity. This suggests that research explicitly focusing on sedentary behavior is warranted. To further the field of sedentary behavior research among older adults with obesity, diabetes, and cardiovascular disease, three gaps will be addressed: 1) improving measures of sedentary time using advanced technology-based methods (due to limitations of self-reports and traditional accelerometer data processing techniques);2) understanding relationships between sedentary time and cardio-metabolic biomarkers and health conditions;and, 3) developing technology-based interventions to reduce sedentary time. The iSTAND (Investigating Sedentary Time in Aging: New Directions using technology) Project aims to address these gaps using data from 3 rich sources (Successful Aging Evaluation [SAGE] Study, the Women's Health Initiative [WHI] Long Life Study, and a participant pool from a large integrated health care system). In the first research aim, objective measurement techniques for sedentary time (e.g. accelerometers, SenseCam, machine learning algorithms) are explored (Aim 1a), and machine learning algorithms for accelerometer data are applied to the WHI sample to examine relationships between sedentary time and health risk factors among older women (Aim 1b).
In Aim 2, focus groups will be conducted to inform development of a technology-based sedentary time reduction program targeting older adults with obesity, diabetes, and/or cardiovascular disease. In a pilot intervention, the feasibility and acceptability of the intervention will be tested in 40 older aduls with obesity, diabetes, and/or cardiovascular disease from a large integrated health care system. The research plans dovetail with training plans for Dr. Rosenberg to obtain necessary skills and knowledge in 2 key areas where she has deficits: 1) wireless technologies to measure sedentary time more accurately, and, 2) application of wireless technologies to sedentary time reduction interventions among older adults. The project will be guided by a multidisciplinary team of expert mentors (bioinformatics, technology and measurement, geriatrics, statistics) and knowledge obtained through training experiences, coursework, and conferences. Support from this 4-year patient-oriented research career development award will position Dr. Rosenberg to lead an independent research program in using technology decrease sedentary time among older adults with chronic health conditions.

Public Health Relevance

Sedentary behaviors (activities done in a seated or lying down position, such as watching television) are associated with many adverse health impacts. Older adults with chronic conditions engage in high levels of sedentary time, yet sedentary time is an understudied behavioral risk. This project will leverage technology advancements to measure sedentary time and examine relationships with health risk factors. It will also develop a technology-based program to reduce sedentary time and support healthy aging in the growing population of older adults with chronic health conditions.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
1K23HL119352-01A1
Application #
8696515
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Bonds, Denise
Project Start
2014-09-01
Project End
2018-07-31
Budget Start
2014-09-01
Budget End
2015-07-31
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Group Health Cooperative
Department
Type
DUNS #
City
Seattle
State
WA
Country
United States
Zip Code
98101
Rosenberg, Dori E; Bellettiere, John; Gardiner, Paul A et al. (2016) Independent Associations Between Sedentary Behaviors and Mental, Cognitive, Physical, and Functional Health Among Older Adults in Retirement Communities. J Gerontol A Biol Sci Med Sci 71:78-83
Greenwood-Hickman, Mikael Anne; Renz, Anne; Rosenberg, Dori E (2016) Motivators and Barriers to Reducing Sedentary Behavior Among Overweight and Obese Older Adults. Gerontologist 56:660-8
Millstein, Rachel A; Hoerster, Katherine D; Rosenberg, Dori E et al. (2016) Individual, Social, and Neighborhood Associations With Sitting Time Among Veterans. J Phys Act Health 13:30-5
King, Diane K; Allen, Peg; Jones, Dina L et al. (2016) Safe, Affordable, Convenient: Environmental Features of Malls and Other Public Spaces Used by Older Adults for Walking. J Phys Act Health 13:289-95
Kerr, Jacqueline; Takemoto, Michelle; Bolling, Khalisa et al. (2016) Two-Arm Randomized Pilot Intervention Trial to Decrease Sitting Time and Increase Sit-To-Stand Transitions in Working and Non-Working Older Adults. PLoS One 11:e0145427
Chaudhuri, Shomir; Kneale, Laura; Le, Thai et al. (2015) Older Adults' Perceptions of Fall Detection Devices. J Appl Gerontol :
Jones, Salene M W; Rosenberg, Dori; Ludman, Evette et al. (2015) Medical comorbidity and psychotropic medication fills in older adults with breast or prostate cancer. Support Care Cancer 23:3005-9
Bellettiere, John; Carlson, Jordan A; Rosenberg, Dori et al. (2015) Gender and Age Differences in Hourly and Daily Patterns of Sedentary Time in Older Adults Living in Retirement Communities. PLoS One 10:e0136161
Marshall, Simon; Kerr, Jacqueline; Carlson, Jordan et al. (2015) Patterns of Weekday and Weekend Sedentary Behavior Among Older Adults. J Aging Phys Act 23:534-41
Greenwood-Hickman, Mikael Anne; Rosenberg, Dori E; Phelan, Elizabeth A et al. (2015) Participation in Older Adult Physical Activity Programs and Risk for Falls Requiring Medical Care, Washington State, 2005-2011. Prev Chronic Dis 12:E90

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