Accelerometer-determined steps/day and metabolic syndrome.
ABSTRACT 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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ABSTRACT: Habitual physical activity participation is widely accepted to be a safe and effective method for managing cardiovascular and metabolic disease risk factors. However, engagement in physical activity has the potential to trigger cardiovascular events, especially when the activity is of vigorous intensity and the participant is unfit or has pre-existing cardiometabolic conditions. Occupational physical activity is a population-specific stressor, and there is a clustering of risk factors which predispose to cardiometabolic conditions amongst “blue-collar” workers. These factors centre on physical work demands relative to worker physical fitness, conditions of the working environment (shift work, temperature, noise pollution, air pollution and the nature of the activity) and socioeconomic status-related worker lifestyle. We conclude that the risk of cardiometabolic disease and associated cardiovascular events occurring in physically demanding occupations is dictated by the interaction of numerous factors, many of which are modifiable through habitual physical activity participation.Current Cardiovascular Risk Reports 08/2013;
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ABSTRACT: Abstract Physical activity and healthy eating are of the utmost importance in treatment of obesity. However obese generally tend to have a sedentary lifestyle. Walking is a form of physical activity that is both simple and can be performed by everyone, but it requires an objective measurement. Number of steps taken during tracking can be recorded with the pedometer, a device used to measure the level of physical activity. We aimed to investigate whether or not using pedometers as a motivational technique to increase the level of physical activity in obese women has an impact on weight loss. Eighty-four obese women who are similar age referring to Ataturk University Faculty of Medicine Healthy Living Clinic, Turkey were randomly divided into two groups. Intervention group were given pedometers, and control group were prescribed similar diet and physical activity with a three-month follow-up plan without pedometers. Mean weight in pedometer group initially was 88.9 ± 8.4 kg, which decreased to 80.2 ± 8.7 kg after the programme. Mean weight in control group was 86.1 ± 9.2 kg at the beginning, and it decreased to 84.7 ± 8.8 kg after three months. It was observed in pedometer group that the mean number of steps 8817 ± 2725 steps/day at the beginning increased to mean 9716 ± 2811 steps/day at the end of the study. Weight, body mass index, body fat percentage and waist circumference measurements decreased more greatly in the pedometer when compared to the control group (p < 0.001). Pedometers may be recommended to obese patients to monitor and increase the level of physical activity and to promote weight loss.European Journal of Sport Science 07/2014; · 1.15 Impact Factor
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ABSTRACT: Background: Physical inactivity contributes to metabolic syndrome (MetS) in overweight/obesity. However, little is known about this relationship in prediabetes. Methods: The study purpose is to examine relationships between physical activity (PA) and MetS in prediabetes. The Healthy Living Partnerships to Prevent Diabetes tested a community translation of the Diabetes Prevention Program (DPP). Three hundred one overweight/obese prediabetics provided walking minutes/week (WM) and total activity minutes/week (AM) via the International Physical Activity Questionnaire. MetS was at least 3 of waist (men ≥ 102 cm, women ≥ 88 cm), triglycerides (≥150 mg·dl), blood pressure (≥130·85 mm Hg), glucose (≥100mg·dl), and HDL (men < 40mg·dl, women < 50mg·dl). Results: The sample was 57.5% female, 26.7% nonwhite/Hispanic, 57.9 ± 9.5 years and had a body mass index (BMI) 32.7 ± 4 kg·m2. Sixty percent had MetS. Eighteen percent with MetS reported at least 150 AM compared with 29.8% of those without MetS. The odds of MetS was lower with greater AM (Ptrend = .041) and WM (Ptrend = .024). Odds of MetS with 0 WM were 2.08 (P = .046) and with no AM were 2.78 (P = .009) times those meeting goal. One hour additional WM led to 15 times lower MetS odds. Conclusions: Meeting PA goals reduced MetS odds in this sample, which supported PA for prediabetes to prevent MetS.Journal of Physical Activity and Health 07/2013; 10(5):690-8. · 1.95 Impact Factor