Objective Light-Intensity Physical Activity Associations With Rated Health in Older Adults
Open accessAbstract
The extent to which light-intensity physical activity contributes to health in older adults is not well known. The authors examined associations between physical activity across the intensity spectrum (sedentary to vigorous) and health and well-being variables in older adults. Two 7-day assessments of accelerometry from 2005 to 2007 were collected 6 months apart in the observational Senior Neighborhood Quality of Life Study of adults aged >65 years in Baltimore, Maryland, and Seattle, Washington. Self-reported health and psychosocial variables (e.g., lower-extremity function, body weight, rated stress) were also collected. Physical activity based on existing accelerometer thresholds for moderate/vigorous, high-light, low-light, and sedentary categories were examined as correlates of physical health and psychosocial well-being in mixed-effects regression models. Participants (N = 862) were 75.4 (standard deviation, 6.8) years of age, 56% female, 71% white, and 58% overweight/obese. After adjustment for study covariates and time spent in moderate/vigorous physical activity and sedentary behavior, low-light and high-light physical activity were positively related to physical health (all P < 0.0001) and well-being (all P < 0.001). Additionally, replacing 30 minutes/day of sedentary time with equal amounts of low-light or high-light physical activity was associated with better physical health (all P < 0.0001). Objectively measured light-intensity physical activity is associated with physical health and well-being variables in older adults.
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Most research on wearable device accuracy has primarily focused on estimates of energy expenditure.
“Most research has primarily focused on the accuracy of estimates of EE [7-12].”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [12]
Existing validation studies have largely been completed on devices considered outdated, such as earlier Fitbit models (One, Zip, Flex, Ultra), Jawbone Up, and Nike FuelBand.
“However, given the pace of technological change, these existing studies have largely been completed on devices that would be considered outdated, such as earlier Fitbit models (One, Zip, Flex, Ultra), Jawbone Up, and the Nike FuelBand.”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [12]
Light-intensity activities are of particular importance as older adults tend to spend a greater portion of their day performing at this physical activity level [12].
“For example, light-intensity activities are of particular importance as older adults tend to spend a greater portion of their day performing at this physical activity level [12], with walking as the most prevalent activity reported among all sociodemographic statuses [34].”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [12]
In older adults, even light intensity physical activity is associated with higher self-rated physical health and psychosocial well-being.
“In older adults, even light intensity physical activity is associated with higher self-rated physical health and psychosocial well-being93.”
From Diabetes in Older Adults: A Consensus Report (2012) · cites this paper as [93]
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- Authors
- Buman, M. P., Hekler, E. B., Haskell, W. L., Pruitt, L., Conway, T. L., Cain, K. L., Sallis, J. F., Saelens, B. E., Frank, L. D., & King, A. C.
- Affiliations
- Stanford Medicine (US)
- San Diego State University (US)
- University of Washington (US)
- University of British Columbia (CA)
- Corresponding author
- Buman, M. P.
- ORCID
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09-15
- Volume
- 172
- Issue
- 10
- Pages
- 1155-1165
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- PMC
- PMC3004766
- OpenAlex
- W2111010616
- Cited by
- 528
- References
- 62
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 21 · 2023: 22 · 2022: 21 · 2021: 35 · 2020: 35 · 2019: 40 · 2018: 50 · 2017: 62 · 2016: 39 · 2015: 58 · 2014: 56 · 2013: 25 · 2012: 23
- FWCI
- 14.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Epidemiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- San Diego State University
- University of Washington
- Seattle Children's Research Institute
- School of Medicine, Stanford University
- National Heart, Lung, and Blood Institute (T32HL007034, R01HL077141)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- light physical activity, older adults, sedentary behavior, moderate-to-vigorous physical activity, accelerometer-measured activity, physical health, psychosocial well-being, stress, lower limb function, body weight
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Female, Health Status, Health Status Indicators, Health Surveys, Humans, Male, Monitoring, Physiologic, Motor Activity, Quality of Life, Residence Characteristics, Stress, Psychological, Urban Health, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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