Accelerometer-Determined Steps/Day and Metabolic Syndrome
Abstract
Background There is a lack of knowledge about the relationship between objectively measured physical activity and the odds of having metabolic syndrome (MetS) and cardiovascular (CVD) risk factors. Purpose This study aims to investigate associations between accelerometer-determined steps/day and the odds of having MetS and its individual CVD risk factors in the U.S. population. Methods Adults in 2005-2006 NHANES with accelerometer-determined steps/day and measurements necessary to determine MetS by AHA/NHLBI were included (n=1446, 48.2% men, 33.5% with MetS, mean age=47.5 years, mean BMI=28.7 kg/m(2)). Logistic regression was used to estimate the odds of having MetS or abnormal CVD risk factors from incrementally higher levels of steps/day. Results MetS prevalence decreased as steps/day increased (p Conclusions Adults who maintain an active lifestyle by accumulating more steps are likely to have a lower prevalence of MetS and its individual CVD risk factors. Although other concomitant lifestyle behaviors may influence this lower prevalence, the evidence presented here on steps/day and metabolic syndrome, and elsewhere on physical activity and other health and disease states, suggest that it is a fundamental component of daily living.
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For each 1000-step increase in steps per day, the prevalence of metabolic syndrome was 10% lower.
“For each 1000-step increase in steps per day, the prevalence of metabolic syndrome was 10% lower.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [42]
Sisson et al. analyzed data from 1446 adults in NHANES 2005-2006 using the Actigraph 7164 worn at the waist and censored steps taken at lower intensity levels.
“Sisson et al. [42] analyzed data from 1446 adults in the NHANES study (2005–2006). This study used the Actigraph 7164 worn at the waist, and the authors “censored” steps taken at lower intensity levels.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [42]
The likelihood of metabolic syndrome was OR = 0.28 (95% CI 0.18-0.44) for those in the active to highly active categories compared to those who were sedentary.
“The likelihood of metabolic syndrome was OR = 0.28 (95% CI 0.18–0.44) for those in the active to highly active categories, compared to those who were sedentary.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [42]
The likelihood of metabolic syndrome was OR = 0.60 (95% CI 0.43-0.82) for those in the low to somewhat active categories.
“The likelihood of metabolic syndrome was OR = 0.60 (95% CI 0.43–0.82) for those in the low to somewhat active categories.”
From Step Counting: A Review of Measurement Considerations and Health-Related Applications (2017) · cites this paper as [42]
Cites
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Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
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Accelerometer-Determined Steps per Day inUS Adults
TUDOR-LOCKE, C., JOHNSON, W. D., & KATZMARZYK, P. T. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e318199885c · Cited by 355 · see citing works
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Step Counting: A Review of Measurement Considerations and Health-Related Applications
Bassett, D. R., Toth, L. P., LaMunion, S. R., & Crouter, S. E. (2017) · Sports Medicine · doi:10.1007/s40279-016-0663-1 · Cited by 460 · see citing works
Sustained and shorter bouts of physical activity are related to cardiovascular health
GLAZER, N. L., LYASS, A., ESLIGER, D. W., BLEASE, S. J., FREEDSON, P. S., MASSARO, J. M., MURABITO, J. M., & VASAN, R. S. (2013) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31826beae5 · Cited by 207 · see citing works
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Evaluation of Activity Monitors in Controlled and Free-Living Environments
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Fan, J. X., Brown, B. B., Hanson, H., Kowaleski-Jones, L., Smith, K. R., & Zick, C. D. (2013) · American Journal of Health Promotion · doi:10.4278/ajhp.120606-qual-286 · Cited by 84 · see citing works
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Self-citationThe evolution of human step counts and its association with the risk of chronic disease
Raichlen, D. A., & Lieberman, D. E. (2022) · Current Biology · doi:10.1016/j.cub.2022.09.030 · Cited by 21 · see citing works
- Authors
- Sisson, S. B., Camhi, S. M., Church, T. S., Tudor-Locke, C., Johnson, W. D., & Katzmarzyk, P. T.
- Affiliations
- Pennington Biomedical Research Center (US)
- Corresponding author
- Katzmarzyk, Peter T.
- ORCID
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 38
- Issue
- 6
- Pages
- 575-582
- ISSN
- 0749-3797 (ISSN-L)
- OpenAlex
- W2000799273
- Cited by
- 116
- References
- 3
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 10 · 2021: 7 · 2020: 6 · 2019: 4 · 2018: 6 · 2016: 8 · 2015: 7 · 2014: 8 · 2013: 14 · 2012: 12
- FWCI
- 9.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- metabolic syndrome, daily step count, physical activity, accelerometer-measured activity, cardiovascular risk factors, sedentary behavior, waist circumference, HDL cholesterol, triglycerides, NHANES
- MeSH terms
- Acceleration, Adult, Cardiovascular Diseases, Female, Health Surveys, Humans, Life Style, Cholesterol, HDL, Male, Middle Aged, Monitoring, Physiologic, Motor Activity, Risk Factors, Triglycerides, Prevalence, Logistic Models, Walking, Metabolic Syndrome, Waist Circumference
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