Daily movement patterns and biological markers among adults in the United States
Abstract
Objective To examine the combined effects of sedentary (SED), light (LPA) and moderate-to-vigorous physical activity (MVPA) on biological markers among a nationally representative sample of U.S. adults.Methods Data from the 2003-2006 NHANES study was used, with 5580 adults (≥20years) included in the study. Participants wore an ActiGraph 7164 accelerometer with accelerometry data used to create four movement pattern groups: ≥150min/week of MVPA and LPA≥SED; ≥150min/week of MVPA and LPA<SED; <150min/week of MVPA but LPA≥SED; and <150min/week of MVPA and LPA<SED. Blood samples were taken to assess various biological parameters (e.g., cholesterol).Results 47.2% (SE: 1.2) of Americans engaged in <150min/week of MVPA and had a negative LPA-SED balance. In general, participants who engaged in ≥150min/week of MVPA, regardless of LPA-SED balance, had more favorable biological levels; however, there was evidence showing that even if individuals engaged in <150min/week of MVPA, but if their LPA exceeded SED, they had more favorable levels of triglycerides and insulin.Conclusions Programs are needed to increase American's engagement in MVPA, and also ensure that LPA exceeds SED behavior.
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The models' fit to the data was in line with previous reports, with moderate amount of variance explained for systolic blood pressure (R2 adj = 0.21), HDL (R2 adj = 0.22), CRP (R2 adj = 0.26), plasma glucose (R2 adj = 0.33), insulin (R2 adj = 0.40) and HOMA (R2 adj = 0.42).
“The models’ fit to the data was in line with previous reports [1,6,10,14–17], with moderate amount of variance explained for systolic blood pressure (R2 adj = 0.21), HDL (R2 adj = 0.22), CRP (R2 adj = 0.26), plasma glucose (R2 adj = 0.33), insulin (R2 adj = 0.40) and HOMA (R2 adj = 0.42).”
Cites
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742 · see citing works
Health benefits of physical activity: the evidence
Warburton, D. E. R. (2006) · Canadian Medical Association Journal · doi:10.1503/cmaj.051351 · Cited by 8,007 · see citing works
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638 · see citing works
Quan, H., Li, B., Couris, C. M., Fushimi, K., Graham, P. J., Hider, P., Januel, J., & Sundararajan, V. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwq433 · Cited by 5,858 · see citing works
Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
Matthews, C. E., Chen, K. Y., Freedson, P. S., Buchowski, M. S., Beech, B. M., Pate, R. R., & Troiano, R. P. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwm390 · Cited by 2,631 · see citing works
Too Much Sitting: The Population Health Science of Sedentary Behavior
Owen, N., Healy, G. N., Matthews, C. E., & Dunstan, D. W. (2010) · Exercise and Sport Sciences Reviews · doi:10.1097/jes.0b013e3181e373a2 · Cited by 2,202 · see citing works
National Health and Nutrition Examination Survey
Rothwell, C. J. (2009) · Springer eBooks · doi:10.1007/978-0-387-78665-0_6177 · Cited by 2,087 · see citing works
The Technology of Accelerometry-Based Activity Monitors: Current and Future
CHEN, K. Y., & BASSETT, D. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185571.49104.82 · Cited by 996 · see citing works
A systematic review of the evidence for Canada's Physical Activity Guidelines for Adults
Warburton, D. E., Charlesworth, S., Ivey, A., Nettlefold, L., & Bredin, S. S. (2010) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-7-39 · Cited by 902 · see citing works
Hamilton, M. T., Healy, G. N., Dunstan, D. W., Zderic, T. W., & Owen, N. G. (2008) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-008-0054-8 · Cited by 854 · see citing works
PHYSICAL ACTIVITY AND HEALTH OUTCOMES: EVIDENCE FROM CANADA
Humphreys, B. R., McLeod, L., & Ruseski, J. E. (2013) · Health Economics · doi:10.1002/hec.2900 · Cited by 255 · see citing works
National Health and Nutrition Examination Survey, The
Tiro, J. A., Lee, S. J. C., Lipshultz, S. E., et al. (2012) · Springer eBooks · doi:10.1007/978-1-4419-1005-9_101778 · Cited by 198 · see citing works
Spittaels, H., Cauwenberghe, E. V., Verbestel, V., Meester, F. D., Dyck, D. V., Verloigne, M., Haerens, L. L., Deforche, B. I., Cardon, G., & Bourdeaudhuij, I. D. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-149 · Cited by 138 · see citing works
Loprinzi, P. D., & Cardinal, B. J. (2013) · American Journal of Health Promotion · doi:10.4278/ajhp.110916-quan-348 · Cited by 95 · see citing works
Self-citationLoprinzi, P. D., Cardinal, B. J., Crespo, C. J., Brodowicz, G. R., Andersen, R. E., Sullivan, E., & Smit, E. (2011) · Scandinavian Journal of Medicine and Science in Sports · doi:10.1111/j.1600-0838.2011.01356.x · Cited by 90 · see citing works
Self-citationLoprinzi, P. D., & Cardinal, B. J. (2012) · Preventive Medicine · doi:10.1016/j.ypmed.2012.03.016 · Cited by 88 · see citing works
Self-citationLoprinzi, P. D., & Pariser, G. L. (2012) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2012.09.004 · Cited by 27 · see citing works
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Chastin, S. F. M., Palarea-Albaladejo, J., Dontje, M. L., & Skelton, D. A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0139984 · Cited by 1,034 · see citing works
Bakrania, K., Edwardson, C. L., Bodicoat, D. H., Esliger, D. W., Gill, J. M. R., Kazi, A., Velayudhan, L., Sinclair, A. J., Sattar, N., Biddle, S. J. H., et al. (2015) · BMC Public Health · doi:10.1186/s12889-016-2694-9 · Cited by 106 · see citing works
Cavallo, F. R., Golden, C., Pearson-Stuttard, J., Falconer, C., & Toumazou, C. (2022) · PLOS ONE · doi:10.1371/journal.pone.0268289 · Cited by 51 · see citing works
Loprinzi, P. D. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2015.11.022 · Cited by 7 · see citing works
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- Authors
- Loprinzi, P. D., Lee, H., & Cardinal, B. J.
- Affiliations
- Bellarmine University (US)
- Sangmyung University (KR)
- Oregon State University (US)
- Corresponding author
- Loprinzi, Paul D.
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 60
- Pages
- 128-130
- ISSN
- 0091-7435 (ISSN-L)
- OpenAlex
- W2067220122
- Cited by
- 51
- References
- 17
- Citations by year
- 2025: 1 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 2 · 2019: 2 · 2018: 10 · 2017: 8 · 2016: 5 · 2015: 8 · 2014: 2
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- sedentary behavior, light physical activity, moderate-to-vigorous physical activity, daily movement patterns, biomarkers, triglycerides, insulin, cholesterol, accelerometer-measured activity, NHANES adults
- MeSH terms
- Adult, Anthropometry, Chronic Disease, Cross-Sectional Studies, Ethnicity, Female, Humans, Male, Middle Aged, Motor Activity, Nutrition Surveys, Population Surveillance, Regression Analysis, Time Factors, United States, Biomarkers, Comorbidity, Body Mass Index, Case-Control Studies, Age Distribution, Sex Distribution, Young Adult, Sedentary Behavior, Accelerometry
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