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Iván Cavero-Redondo,1 Xuemei Sui,2 Steven N Blair,2 Carl J Lavie,3 Celia Álvarez-Bueno,1 Vicente Martínez-Vizcaíno1,4 1Universidad de Castilla-La Mancha, Health and Social Research Center, Cuenca, Spain; 2Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA; 3Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School, The University of Queensland School of Medicine, New Orleans, LA, USA; 4Universidad Autónoma de Chile, Facultad de Ciencias de la Salud, Talca, Chile Background and purpose: Although several studies have assessed the importance of traditional risk factors in predicting stroke, none have concurrently addressed the stroke-predicting ability of these risk factors across the lifespan of subjects without a hypertension (HTN) diagnosis. Thus, this study aimed to assess the importance of blood-pressure-related risk indicators, cardiorespiratory fitness (CRF), weight status, diabetes mellitus (DM), and lifestyle factors as predictors of stroke in different stages of life among non-hypertensive subjects.Materials and methods: This study was a long-term follow-up study including 33,254 men and 10,598 women from the Aerobics Center Longitudinal Study (ACLS) who were 18–100 years old and did not have a HTN diagnosis at baseline. Logistic regression models were constructed using forward selection procedures for each age category, with stroke occurrence as the dependent variable, and pulse pressure (PP), mean arterial pressure (MAP), systolic blood pressure (SBP), smoking status, CRF, drinking behavior, DM status, and weight status as potential predictors.Results: In total, 507 subjects had a stroke during an average follow-up period of 17 years (range=1–34 years). Logistic regression models showed that MAP values (P=0.043) in those aged 19–39 years; SBP (P

John C Sieverdes,1 Eric E Wickel,2 Gregory A Hand,3 Marco Bergamin,4 Robert R Moran,5 Steven N Blair3,51Medical University of South Carolina, College of Nursing and Medicine, Charleson, SC, 2University of Tulsa, Exercise and Sport Science, Tulsa, OK, 3University of South Carolina, Department of Exercise Science, Division of Health Aspects of Physical Activity, Arnold School of Public Health, Columbia, SC, USA; 4University of Padova, Department of Medicine, Sports Medicine Division, Padova, Italy; 5University of South Carolina, Department of Epidemiology and Biostatistics, Arnold School of Public Health, Columbia, SC, USABackground: This study evaluated the reliability and criterion validity of the Mywellness Key accelerometer (MWK) using treadmill protocols and indirect calorimetry.Methods: Twenty-five participants completed two four-stage 20-minute treadmill protocols while wearing two MWK accelerometers. Reliability was assessed using raw counts. Validity was assessed by comparing the estimated VO2 calculated from the MWK with values from respiratory gas exchange.Results: Good overall and point estimates of reliability were found for the MWK (all intraclass correlations > 0.93). Generalizability theory coefficients showed lower values for running speed (0.70) versus walking speed (all > 0.84), with the majority of the overall percentage of variability derived from the participant (68%–88% of the total 100%). Acceptable validity was found overall (Pearson’s r = 0.895–0.902, P < 0.0001), with an overall mean absolute error of 16.22% and a coefficient of variance of 16.92%. Bland-Altman plots showed an overestimation of energy expenditure during the running speed, but total kilocalories were underestimated during the protocol by approximately 10%.Conclusion: Good validity was found during light and moderate walking, while running was slightly overestimated. The MWK may be useful for clinicians and researchers interested in promotion or assessment of physical activity.Keywords: physical activity, accelerometer, health monitor

John C Sieverdes, Xuemei Sui, Gregory A Hand, Vaughn W Barry, Sara Wilcox, Rebecca A Meriwether, James W Hardin, Amanda C McClain, Steven N BlairDepartment of Exercise Science, University of South Carolina, Columbia, SC, USAPurpose: This report examines the blood chemistry and blood pressure (BP) results from the Lifestyle Education for Activity and Nutrition (LEAN) study, a randomized weight loss trial. A primary purpose of the study was to evaluate the effects of real-time self-monitoring of energy balance (using the SenseWearTM Armband, BodyMedia, Inc Pittsburgh, PA) on these health factors.Methods: 164 sedentary overweight or obese adults (46.8 ± 10.8 years; BMI 33.3 ± 5.2 kg/m2; 80% women) took part in the 9-month study. Participants were randomized into 4 conditions: a standard care condition with an evidence-based weight loss manual (n = 40), a group-based behavioral weight loss program (n = 44), an armband alone condition (n = 41), and a group plus armband (n = 39) condition. BP, fasting blood lipids and glucose were measured at baseline and 9 months.Results: 99 participants (60%) completed both baseline and follow-up measurements for BP and blood chemistry analysis. Missing data were handled by baseline carried forward. None of the intervention groups had significant changes in blood lipids or BP when compared to standard care after adjustment for covariates, though within-group lowering was found for systolic BP in group and group + armband conditions, a rise in total cholesterol and LDL were found in standard care and group conditions, and a lowering of triglycerides was found in the two armband conditions. Compared with the standard care condition, fasting glucose decreased significantly for participants in the group, armband, and group + armband conditions (all P < 0.05), respectively.Conclusion: Our results suggest that using an armband program is an effective strategy to decrease fasting blood glucose. This indicates that devices, such as the armband, can be a successful way to disseminate programs that can improve health risk factors. This can be accomplished without group-based behavioral programs, thereby potentially reducing costs.Keywords: armband, energy balance, randomized controlled trial, physical activity, blood lipids, blood glucose