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Accelerometry and older adults

Kelly R Evenson, Fang Wen, Amy H Herring
The US physical activity (PA) recommendations were based primarily on studies in which self-reported data were used. Studies that include accelerometer-assessed PA and sedentary behavior can contribute to these recommendations. In the present study, we explored the associations of PA and sedentary behavior with all-cause and cardiovascular disease (CVD) mortality in a nationally representative sample. Among the 2003-2006 National Health and Nutrition Examination Survey cohort, 3,809 adults 40 years of age or older wore an accelerometer for 1 week and self-reported their PA levels...
October 19, 2016: American Journal of Epidemiology
Amal A Wanigatunga, Paul V Nickerson, Todd M Manini, Parisa Rashidi
The objective of this analysis was to apply symbolic aggregate approximation (SAX) time-series analysis to accelerometer data for activity pattern visualization stratified by self-reported mobility difficulty. A total of 2393 (71.6  ±  7.9 years old) participants wore an accelerometer on the hip (4  +  d; 10  +  h) during the national health and nutrition examination survey (NHANES), a biannual series of health assessments of the US population. One minute epoch data was used to perform SAX, which converted accelerometry time series data into four activity levels...
October 18, 2016: Physiological Measurement
Iván González, Jesús Fontecha, Ramón Hervás, José Bravo
The purpose of this paper is to develop an accelerometry system capable of performing gait event demarcation and calculation of temporal parameters using a single waist-mounted device. Particularly, a mobile phone positioned over the L2 vertebra is used to acquire trunk accelerations during walking. Signals from the acceleration magnitude and the vertical acceleration are smoothed through different filters. Cut-off points between filtered signals as a result of convolving with varying levels of Gaussian filters and other robust features against temporal variation and noise are used to identify peaks that correspond to gait events...
December 2016: Journal of Medical Systems
José I Recio-Rodríguez, Natalia Sanchez-Aguadero, Emiliano Rodríguez-Sánchez, Vicente Martinez-Vizcaino, Carlos Martin-Cantera, Maria C Patino-Alonso, Jose A Maderuelo-Fernandez, Manuel A Gómez-Marcos, Luis Garcia-Ortiz
This study determined the relationship between self-reported and objective measurements of physical activity with adiposity markers in a randomly sample of community-dwelling older adults. The sample included 439 individuals over 65 years (age 71.1±7.8; 54.2% women). Regular physical activity information was collected using self-reported (questionnaire, 7-day-PAR) and objective measurements (accelerometer ActiGraph GT3X) over 7 days. Anthropometric parameters included body mass index, body fat percentage and waist circumference...
October 5, 2016: Journal of Aging and Physical Activity
Yufei Tang, Philip Green, Mathew Maurer, Rosa Lazarte, Jonathan Rubin Kuzniecky, Ming Yang Hung, Melissa Garcia, Susheel Kodali, Tamara Harris
In older adults with aortic stenosis, we evaluated whether accelerometer-measured physical activity provides distinct clinical information apart from self-reported surveys or performance-based function tests. We employed wrist-mounted accelerometry in 52 subjects with severe aortic stenosis prior to transcatheter aortic valve replacement (TAVR). Daily daytime activity was estimated using the maximum 10 h of daily accelerometer-measured activity (M10) reported in activity counts. Subjects completed baseline surveys (New York Heart Association (NYHA), Short Form 12 (SF12), Kansas City Cardiomyopathy Questionnaire (KCCQ), EuroQol-5D (EQ-5D), Revised Life Orientation Test (LOT-R), Life Space, Detailed Activity Form) and performance-based function tests (Short Physical Performance Battery, 6-min walk test distance, grip strength) to estimate functional status...
December 2015: Current Geriatrics Reports
Andrew S Layne, Fang-Chi Hsu, Steven N Blair, Shyh-Huei Chen, Jennifer Dungan, Roger A Fielding, Nancy W Glynn, Alexandra M Hajduk, Abby C King, Todd M Manini, Anthony P Marsh, Marco Pahor, Christine A Pellegrini, Thomas W Buford
OBJECTIVE: To evaluate the extent of variability in functional responses among participants in the LIFE study, and to identify the relative contributions of intervention adherence, physical activity, and demographic and health characteristics to this variability. DESIGN: Secondary analysis of the Lifestyle Interventions and Independence for Elders (LIFE) study. SETTING: Multicenter U.S. institutions participating in the LIFE study. PARTICIPANTS: A volunteer sample of 1635 sedentary men and women aged 70 to 89 years who were able to walk 400 m, but had physical limitations, defined as a score on the Short Physical Performance Battery (SPPB) of ≤9...
August 24, 2016: Archives of Physical Medicine and Rehabilitation
Jiawei Bai, Chongzhi Di, Luo Xiao, Kelly R Evenson, Andrea Z LaCroix, Ciprian M Crainiceanu, David M Buchner
Accelerometers have been widely deployed in public health studies in recent years. While they collect high-resolution acceleration signals (e.g., 10-100 Hz), research has mainly focused on summarized metrics provided by accelerometers manufactures, such as the activity count (AC) by ActiGraph or Actical. Such measures do not have a publicly available formula, lack a straightforward interpretation, and can vary by software implementation or hardware type. To address these problems, we propose the physical activity index (AI), a new metric for summarizing raw tri-axial accelerometry data...
2016: PloS One
Lena Fleig, Maureen C Ashe, Christine Voss, Suzanne Therrien, Joanie Sims-Gould, Heather A McKay, Meghan Winters
Objective: Neighborhood environments can support or hinder physical activity especially as health declines with age. This study puts psychological theories of health behavior change in context with built environment research to better understand the interplay of environmental and psychosocial characteristics impacting older adults' sedentary behavior and physical activity. Method: The Active Streets, Active People study recruited 193 older adults living in a highly walkable neighborhood in Vancouver, British Columbia, Canada...
August 8, 2016: Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association
M P Corcoran, K K H Chui, D K White, K F Reid, D Kirn, M E Nelson, J M Sacheck, S C Folta, R A Fielding
OBJECTIVES: To describe levels of physical activity among older adults residing at assisted care facilities and their association with physical function. DESIGN: Cross-sectional analysis. SETTING: Assisted care facilities within the greater Boston, MA area. PARTICIPANTS: Older adults aged 65 years and older (N = 65). MEASUREMENTS: Physical Activity Level (PAL) as defined by quartiles from accelerometry (counts and steps), Short Physical Performance Battery (SPPB) Score, gait speed, and handgrip strength...
2016: Journal of Nutrition, Health & Aging
Jessica L Unick, Sarah A Gaussoin, James O Hill, John M Jakicic, Dale S Bond, Margareta Hellgren, Karen C Johnson, Anne L Peters, Mace Coday, Dalane W Kitzman, Suzette Bossart, Rena R Wing
: Physical activity (PA) has numerous health benefits, particularly for those with diabetes. However, rates of long-term PA participation are often poor. PURPOSE: This study examined the effect of an intensive lifestyle intervention (ILI) on objectively-assessed PA over a 4-year period among older adults with type 2 diabetes. METHODS: Data from 2400 participants (age: 59.3±6.9 yrs; BMI: 36.1±5.9 kg/m) with accelerometry data from the Look AHEAD trial were included in the analyses...
July 27, 2016: Medicine and Science in Sports and Exercise
Barbara J Nicklas, Daniel P Beavers, Shannon L Mihalko, Gary D Miller, Richard F Loeser, Stephen P Messier
BACKGROUND: Habitual (non-exercise) physical activity (PA) declines with age, and aging-related increases in inflammation and fatigue may be important contributors to variability in PA. METHODS: This study examined the association of objectively-measured PA (accelerometry over 7 days) with inflammation (plasma interleukin-6 and C-reactive protein) and with self-reported fatigue (SF-36 Vitality) at baseline and 18 months after a diet-induced weight loss, exercise, or diet-induced weight loss plus exercise intervention in 167 overweight/obese, middle-aged, and older adults...
July 5, 2016: Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
Amal A Wanigatunga, Paul Nickerson, Todd M Manini
No abstract text is available yet for this article.
May 2016: Medicine and Science in Sports and Exercise
Abby C King, Eric B Hekler, Lauren A Grieco, Sandra J Winter, Jylana L Sheats, Matthew P Buman, Banny Banerjee, Thomas N Robinson, Jesse Cirimele
BACKGROUND: While there has been an explosion of mobile device applications (apps) promoting healthful behaviors, including physical activity and sedentary patterns, surprisingly few have been based explicitly on strategies drawn from behavioral theory and evidence. OBJECTIVE: This study provided an initial 8-week evaluation of three different customized physical activity-sedentary behavior apps drawn from conceptually distinct motivational frames in comparison with a commercially available control app...
2016: PloS One
Giulio Valenti, Alberto G Bonomi, Klaas R Westerterp
BACKGROUND: Physical activity is recommended to promote healthy aging. Defining the importance of activities such as walking in achieving higher levels of physical activity might provide indications for interventions. OBJECTIVE: To describe the importance of walking in achieving higher levels of physical activity in older adults. METHODS: The study included 42 healthy subjects aged between 51 and 84 years (mean body mass index 25.6 kg/m(2) [SD 2...
2016: JMIR MHealth and UHealth
Steve R Fisher, James E Graham, Kenneth J Ottenbacher, Rachel Deer, Glenn V Ostir
OBJECTIVE: To compare the 30-day readmission predictive power of in-hospital walking activity and in-hospital activities of daily living (ADLs) in older acutely ill patients. In addition, we sought to identify preliminary walking thresholds that could support the targeting of interventions aimed at minimizing rehospitalizations. DESIGN: Prospective, observational clinical cohort study. Step counts during hospitalization were assessed via accelerometry. ADL function was assessed within 48 hours of admission...
September 2016: Archives of Physical Medicine and Rehabilitation
Christopher M Dalton, Julie Nantel
Nordic walking (NW) has become a safe and simple form of exercise in recent years, and in studying this gait pattern, various data collection techniques have been employed, each with positives and negatives. The aim was to determine the effect of NW on older adult gait and posture and to determine optimal use of different data collection systems in both short and long duration analysis. Gait and posture during NW and normal walking were assessed in 17 healthy older adults (age: 69 ± 7.3). Participants performed two trials of 6 Minute Walk Tests (6MWT) (1 with poles (WP) and 1 without poles (NP)) and 6 trials of a 5m walk (3 WP and 3 NP)...
2016: Journal of Visualized Experiments: JoVE
Po-Wen Ku, Kenneth R Fox, Yung Liao, Wen-Jung Sun, Li-Jung Chen
PURPOSE: This study aimed to examine the longitudinal independent associations of objectively assessed physical activity at different intensities, including moderate-to-vigorous physical activity, light physical activity, and sedentary behaviors, with dimensions of subjective well-being in older adults. METHODS: A total of 307 community-dwelling older adults aged 65 or older in Taiwan were interviewed in 2012. Physical activity was assessed using triaxial accelerometry...
May 6, 2016: Quality of Life Research
Nienke M Kosse, Nicolas Vuillerme, Tibor Hortobágyi, Claudine Jc Lamoth
INTRODUCTION: Normative data of how natural aging affects gait can serve as a frame of reference for changes in gait dynamics due to pathologies. Therefore, the present study aims (1) to identify gait variables sensitive to age-related changes in gait over the adult life span using the iPod and (2) to assess if these variables accurately distinguish young (aged 18-45) from healthy older (aged 46-75) adults. METHODS: Trunk accelerations were recorded with an iPod Touch in 59 healthy adults during three minutes of overground walking...
May 2016: Gait & Posture
Karen Broekhuizen, Jelle de Gelder, Carolien A Wijsman, Liselotte W Wijsman, Rudi G J Westendorp, Evert Verhagen, Pieternella E Slagboom, Anton J de Craen, Willem van Mechelen, Diana van Heemst, Frans van der Ouderaa, Simon P Mooijaart
BACKGROUND: Increasing physical activity is a viable strategy for improving both the health and quality of life of older adults. OBJECTIVE: The aim of this study was to assess if an Internet-based intervention aimed to increase physical activity was effective in improving quality of life of inactive older adults. In addition, we analyzed the effect of the intervention on quality of life among those participants who successfully reached their individually targeted increase in daily physical activity as indicated by the intervention program, as well as the dose-response effect of increasing physical activity on quality of life...
2016: Journal of Medical Internet Research
Amber Watts, Ryan W Walters, Lesa Hoffman, Jonathan Templin
Physical activity shows promise for protection against cognitive decline in older adults with and without Alzheimer's disease (AD). To better understand barriers to adoption of physical activity in this population, a clear understanding of daily and weekly activity patterns is needed. Most accelerometry studies report average physical activity over an entire wear period without considering the potential importance of the variability of physical activity. This study evaluated individual differences in the amount and intra-individual variability of physical activity and determined whether these differences could be predicted by AD status, day of wear, age, gender, education, and cardiorespiratory capacity...
2016: PloS One
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