Accelerometer-Determined Steps/Day and Metabolic Syndrome

Pennington Biomedical Research Center, Baton Rouge, Louisiana 70808, USA.
American journal of preventive medicine (Impact Factor: 4.53). 06/2010; 38(6):575-82. DOI: 10.1016/j.amepre.2010.02.015
Source: PubMed


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.
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.
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.
MetS prevalence decreased as steps/day increased (p<0.0001), with 55.7% of participants in the lowest categoric level of steps/day and 13.3% in the highest level having MetS. The odds of having MetS were 10% lower for each additional 1000 steps/day (OR=0.90, 95% CI=0.86, 0.93). The likelihood of having MetS was OR=0.28 (95% CI=0.18, 0.44) for active to highly active and 0.60 (0.43, 0.82) for low to somewhat-active compared to sedentary adults (p<0.0001). Adults who took more steps/day tended to have lower waist circumference, higher high-density lipoprotein (HDL) cholesterol level, and lower levels of triglycerides.
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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    • "Most current knowledge on PA patterns, however, relies predominantly upon self-reporting with its known limitations affecting accuracy, such as recall bias and social desirability bias [11]. Motion sensors, such as accelerometers and pedometers, overcome many of the limitations related to self-reporting because they provide accurate and reliable estimates of the daily PA level by measuring incidental activities and considering all domains of PA (occupation, transportation , household and yard/garden, leisure time) [12]. furthermore, pedometers have the advantage of being inexpensive, unobtrusive and easy to use. "

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    • "Using these programs, researchers around the world could access the time-series accelerometer data from NHANES and run SAS programs to derive meaningful PA variables to use in statistical analyses. Over the past seven years, the NCI's SAS programs have facilitated great progress in understanding the distribution of PA behaviors in America (Troiano et al., 2008; Tudor-Locke et al., 2010), and have helped to identify numerous cross-sectional associations between PA and health outcomes (Healy et al., 2011; Sisson et al., 2010; Carson and Janssen, 2011). "
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    ABSTRACT: Accelerometers are a valuable tool for measuring physical activity (PA) in epidemiological studies. However, considerable processing is needed to convert time-series accelerometer data into meaningful variables for statistical analysis. This article describes two recently developed R packages for processing accelerometer data. The package accelerometry contains functions for performing various data processing procedures, such as identifying periods of non-wear time and bouts of activity. The functions are flexible, computationally efficient, and compatible with uniaxial or triaxial data. The package nhanesaccel is specifically for processing data from the National Health and NutritionExamination Survey (NHANES), years 2003–2006. Its primary function generates measures of PA volume, intensity, frequency, and patterns according to user-specified data processing methods. This function can process the NHANES 2003–2006 dataset in under one minute, which is a drastic improvement over existing software. This article highlights important features of packages accelerometry and nhanesaccel and demonstrates typical usage for PA researchers.
    The R Journal 12/2014; 6(2):52-62. · 1.04 Impact Factor
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    • "This study is also the first to report measurement of stepping cadence during Latin partnered social dance, which ranged from 114–131 step/min, a value well above the intensity of 100–110 step/min demonstrated to be the equivalent of moderate intensity walking (Marshall et al., 2009). Accelerometerdetermined steps have been shown to be negatively associated with cardiovascular disease risk, whereby each 1000 step increment in daily SC resulted in a reduced odds of metabolic syndrome development of 10–13% for both women and men (Sisson et al., 2010). Although a target EE of $1000 kcal/wk from PA is recommended for the general adult population, recent evidence suggests that a reduced risk of cardiovascular disease and premature mortality actually begins at an EE of $500 kcal/wk (Garber et al., 2011). "
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    ABSTRACT: The purpose of this study was to investigate the physiological and perceptual responses to Latin partnered social dance to salsa music when performed as a self-selected activity within an ecologically valid setting. Eighteen non-professional adult Latin dancers undertook a laboratory-based graded exercise test for determination of maximal oxygen uptake and maximal heart rate. The dancers then attended two Latin partnered social dance sessions in established salsa venues in London, UK over a 2 wk period. Physiological data were collected using a wrist-worn ActiGraph wGT3X+ accelerometer with accompanying heart rate monitor. Perceived benefits of dance were assessed via the Exercise Benefits/Barriers Scale, and measurement of state intrinsic motivation during dance was undertaken using the Intrinsic Motivation Inventory. Total step count during 2 h of dance was not different (t16 = −.39, p = .71) between females and males (9643 ± 1735 step); however, women expended a significantly lower (t16 = −2.57, p < .05) total energy expenditure when compared to men (479 ± 125 versus 651 ± 159 kcal). Dancers of both genders considered interest–enjoyment to be the motivator of primary importance. The highest rated perceived benefit of dance was psychological outlook. Latin partnered social dance to salsa music demands moderate to vigorous physical activity intensity levels, and further, fosters interest, enjoyment, and a positive psychological outlook among novice to advanced adult Latin dancers taking part primarily for leisure purposes. These findings may be of use for those interested in the efficacy of Latin social dancing as an expressive medium for the promotion of community health.
    Human Movement Science 10/2014; 37:32–41. DOI:10.1016/j.humov.2014.06.009 · 1.60 Impact Factor
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