ArticleMedicine and science in sports and exercise2017
Step-Based Physical Activity Metrics and Cardiometabolic Risk: NHANES 2005-2006.
Article in Medicine and science in sports and exercise, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The relationships between step count and all-cause mortality and cardiovascular events: A dose-response meta-analysis.Journal of sport and health science · 2021Pooled it
- Daily Step Counts for Measuring Physical Activity Exposure and Its Relation to Health.Medicine and science in sports and exercise · 2019Pooled it
- Statistical methods to model and evaluate physical activity programs, using step counts: A systematic review.PloS one · 2018Pooled it
- Physical activity and cardiometabolic health across an extreme lifestyle gradient.Evolution, medicine, and public health · 2026Article
- Associations of step accelerations and cardiometabolic risk markers in early adulthood.European journal of public health · 2025Article
- Associations of physical activity volume and intensity with depression symptoms among US adults.Frontiers in public health · 2025Article
- Conceptual and Evidence Update on Incidental Physical Activity: A Scoping Review of Experimental and Observational Studies.Scandinavian journal of medicine & science in sports · 2025Article
- Association between daily step counts and healthy life years: a national cross-sectional study in Japan.BMJ health & care informatics · 2024Article
- Free-living ambulatory physical activity and cognitive function in multiple sclerosis: the significance of step rate vs. step volume.Journal of neurology · 2024Article
- Physical Activity Assessed by Wrist and Thigh Worn Accelerometry and Associations with Cardiometabolic Health.Sensors (Basel, Switzerland) · 2023Article
- Association between device-measured stepping behaviors and cardiometabolic health markers in middle-aged women: The Australian Longitudinal Study on Women's Health.Scandinavian journal of medicine & science in sports · 2023Article
- Article
- Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk.Journal of neuroengineering and rehabilitation · 2022Article
- Step volume and intensity in older adults: Commentary on "Association of accelerometer-derived step volume and intensity with hospitalizations and mortality in older adults: A prospective cohort study".Journal of sport and health science · 2022Article
- Replacing Sedentary Time with Physically Active Behaviour Predicts Improved Body Composition and Metabolic Health Outcomes.International journal of environmental research and public health · 2022Article
- Dose-response association between step count and cardiovascular disease risk markers in middle-aged adults.Scandinavian journal of medicine & science in sports · 2022Article
- Ethnic differences in the relationship between step cadence and physical function in older adults.Journal of sports sciences · 2022Article
- Associations of steps per day and step intensity with the risk of diabetes: the Hispanic Community Health Study / Study of Latinos (HCHS/SOL).The international journal of behavioral nutrition and physical activity · 2022Article
- Self-Selected Walking Cadence after 16-Week Light-Intensity Physical Activity Intervention for Older Cancer Survivors.International journal of environmental research and public health · 2022Article
- Prognostic impact of physical activity patterns after percutaneous coronary intervention. Protocol for a prospective longitudinal cohort. The PIPAP study.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
purposeThis study aimed to catalog the relationships between step-based accelerometer metrics indicative of physical activity volume (steps per day, adjusted to a pedometer scale), intensity (mean steps per minute from the highest, not necessarily consecutive, minutes in a day; peak 30-min cadence), and sedentary behavior (percent time at zero cadence relative to wear time; %TZC) and cardiometabolic risk factors.
methodsWe analyzed data from 3388 participants, 20+ yr old, in the 2005-2006 National Health and Nutrition Examination Survey with ≥1 valid day of accelerometer data and at least some data on weight, body mass index, waist circumference, systolic and diastolic blood pressure, glucose, insulin, HDL cholesterol, triglycerides, and/or glycohemoglobin. Linear trends were evaluated for cardiometabolic variables, adjusted for age and race, across quintiles of steps per day, peak 30-min cadence, and %TZC.
resultsMedian steps per day ranged from 2247 to 12,334 steps per day for men and from 1755 to 9824 steps per day for women, and median peak 30-min cadence ranged from 48.1 to 96.0 steps per minute for men and from 40.8 to 96.2 steps per minute for women for the first and fifth quintiles, respectively. Linear trends were statistically significant (all P < 0.001), with increasing quintiles of steps per day and peak 30-min cadence inversely associated with waist circumference, weight, body mass index, and insulin for both men and women. Median %TZC ranged from 17.6% to 51.0% for men and from 19.9% to 47.6% for women for the first and fifth quintiles, respectively. Linear trends were statistically significant (all P < 0.05), with increasing quintiles of %TZC associated with increased waist circumference, weight and insulin for men, and insulin for women.
conclusionsThis analysis identified strong linear relationships between step-based movement/nonmovement dimensions and cardiometabolic risk factors. These data offer a set of quantified access points for studying the potential dose-response effects of each of these dimensions separately or collectively in longitudinal observational or intervention study designs.
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