Measurement of physical activity and energy expenditure using heart rate, motion sensors and questionnaires

This dissertation was designed to examine new techniques to measure physical activity (PA) and energy expenditure (EE) during lifestyle activities. The specific aims were: 1) to evaluate heart rate (HR), using percent of HR reserve in relation to percent of oxygen uptake reserve, as a method for assessing moderate intensity PA in the field setting; 2) to validate the simultaneous heart rate-motion sensor (HR+M) technique to estimate EE of selected activities; 3) to validate the simultaneous HR +M technique to predict EE over an extended time period; and 4) to use the simultaneous HR+M technique to validate selected PA questionnaires over a 7-day period. For the first aim, sixty-one males performed physical tasks in both a laboratory and field setting. HR and oxygen uptake (V0 2) were continuously measured during 15- min tasks. HR data was used to predict EE using age-predicted maximum HR and estimated maximal V0 2. The correlation between HR and measured V0 2 was r=0.68. After adjusting for age and fitness level, HR provided an accurate estimate of EE, r=0.87. Using percent HR reserve to estimate percent V02 reserve significantly improved the estimation of EE

Energy expenditure of interruptions to sedentary behavior

<p>Abstract</p> <p>Background</p> <p>Advances in technology, social influences and environmental attributes have resulted in substan-tial portions of the day spent in sedentary pursuits. Sedentary behavior may be a cause of many chronic diseases including obesity, insulin resistance, type 2 diabetes and the metabolic syndrome. Research demonstrated that breaking up sedentary time was beneficially associated with markers of body composition, cardiovascular health and type 2 diabetes. Therefore, the purpose of this study was to quantify the total energy expenditure of three different durations of physical activity within a 30-minute sedentary period and to examine the potential benefits of interrupting sedentary behavior with physical activity for weight control.</p> <p>Methods</p> <p>Participants completed four consecutive 30-minute bouts of sedentary behavior (reading, working on the computer, or doing other desk activities) with and without interruptions of walking at a self-selected pace. Bout one contained no walking interruptions. Bout two contained a 1-minute walking period. Bout three contained a 2-minute walking period. Bout four contained a 5-minute walking period. Body composition and resting metabolic rate were assessed.</p> <p>Result</p> <p>Twenty males and females (18-39 years) completed this study. Results of the repeated measures analysis of variance with post-hoc testing showed that significantly more energy was expended during each 30 minute sedentary bout with a walking break than in the 30 minute sedentary bout (<it>p </it>< 0.05 for all comparisons). On average, participants expended an additional 3.0, 7.4, and 16.5 additional net or activity kilocalories during bouts 2, 3, and 4, respectively compared with bout 1. When extrapolated for a full eight-hour working day, this data shows that an individual would theoretically expend an additional 24, 59 or 132 kilocalories per day, if they stood up and walked at a normal, self selected pace for one, two or five minutes every hour, respectively, compared with sitting for the 8-hour period.</p> <p>Conclusions</p> <p>This study demonstrated that making small changes, such as taking a five minute walking break every hour could yield beneficial weight control or weight loss results. Therefore, taking breaks from sedentary time is a potential outlet to prevent obesity and the rise of obesity in developed countries.</p

Pedometer Feedback Interventions Increase Daily Physical Activity in Phase III Cardiac Rehabilitation Participants

Purpose: To determine the effects of individually tailored interventions designed to increase physical activity (PA) in cardiac patients. Methods: A total of 99 (77 men and 22 women, 61.5 ± 10.7 yr) patients entering a phase III cardiac rehabilitation program completed a 12-wk PA intervention. Patients were randomized to usual care (UC, time-based recommendation), pedometer feedback (PF), newsletter-based motivational messaging (MM), or PF + MM. Both PF groups were given a goal of increasing steps/d by 10% of individual baseline value each week. If the goal for the week was not reached, the same goal was used for the next week. Physical activity was assessed for 7 d before beginning and after completing the program. The change in steps/d, moderate to vigorous intensity PA minutes, and sedentary time were compared among intervention groups. Results: Average change in steps/d was found to be significantly greater (P \u3c .01) in the PF (2957 ± 3185) and the PF + MM (3150 ± 3007) compared with UC (264 ± 2065) and MM (718 ± 2415) groups. No group experienced changes in moderate to vigorous intensity PA time and only the PF intervention group decreased sedentary time (baseline 470.2 ± 77.1 to postintervention 447.8 ± 74.9 min/d, P = .01). Conclusion: The findings from this study demonstrate that using PF was superior to the usual time–based PA recommendations and to newsletter-based MM in patients starting a phase III CR program. Cardiac rehabilitation programs are encouraged to implement PA feedback with individualized PA goals in order to support the increase in PA

Do Stand-Biased Desks in the Classroom Change School-Time Activity and Sedentary Behavior?

The purpose of this study was to determine the effect of stand-biased desks on the physical activity and sedentary behavior of third, fourth and sixth grade students across the school year. Methods: This within classroom crossover design study used teacher-determined allocation for seating within each classroom. Half of the students used a stand-biased desk and half used a sitting desk. Five-day hip-worn accelerometer assessments were completed at baseline and at the end of each nine-week intervention period. A mixed effects model was used to determine the differences in the percentage of time spent active and sedentary. Results: A total of 22, 36 and 41 students in 3rd, 4th and 6th grades, respectively, completed this study (57.1% male, 79.3% White). Regardless of the desk type, students became more sedentary (p \u3c 0.001) and less active (p \u3c 0.001) in the classroom as the school year progressed. After controlling for baseline activity, there was a significant interaction between the type of desk and time (p = 0.029). Students who spent a higher percentage of their classroom time sedentary engaged in less sedentary behavior when using a stand-biased desk compared to the traditional desk. Conclusion: The standing desk intervention was effective in mitigating the increase in sedentary behavior for those who started the school year more sedentary

Measured and perceived environmental characteristics are related to accelerometer defined physical activity in older adults

<p>Abstract</p> <p>Background</p> <p>Few studies have investigated both the self-perceived and measured environment with objectively determined physical activity in older adults. Accordingly, the aim of this study was to examine measured and perceived environmental associations with physical activity of older adults residing across different neighborhood types.</p> <p>Methods</p> <p>One-hundred and forty-eight older individuals, mean age 64.3 ± 8.4, were randomly recruited from one of four neighborhoods that were pre-determined as either having high- or low walkable characteristics. Individual residences were geocoded and 200 m network buffers established. Both objective environment audit, and self-perceived environmental measures were collected, in conjunction with accelerometer derived physical activity behavior. Using both perceived and objective environment data, analysis consisted of a macro-level comparison of physical activity levels across neighborhood, and a micro-level analysis of individual environmental predictors of physical activity levels.</p> <p>Results</p> <p>Individuals residing in high-walkable neighborhoods on average engaged in 11 min of moderate to vigorous physical activity per day more than individuals residing in low-walkable neighborhoods. Both measured access to non-residential destinations (b = .11, <it>p </it>< .001) and self-perceived access to non-residential uses (b = 2.89, <it>p </it>= .031) were significant predictors of time spent in moderate to vigorous physical activity. Other environmental variables significantly predicting components of physical activity behavior included presence of measured neighborhood crime signage (b = .4785, <it>p </it>= .031), measured street safety (b = 26.8, <it>p </it>= .006), and perceived neighborhood satisfaction (b = .5.8, <it>p </it>= .003).</p> <p>Conclusions</p> <p>Older adult residents who live in high-walkable neighborhoods, who have easy and close access to nonresidential destinations, have lower social dysfunction pertinent to crime, and generally perceive the neighborhood to a higher overall satisfaction are likely to engage in higher levels of physical activity behavior. Efforts aimed at promoting more walkable neighborhoods could influence activity levels in older adults.</p

Objectively measured physical activity of USA adults by sex, age, and racial/ethnic groups: a cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Accelerometers were incorporated in the 2003–2004 National Health and Nutritional Examination Survey (NHANES) study cycle for objective assessment of physical activity. This is the first time that objective physical activity data are available on a nationally representative sample of U.S. residents. The use of accelerometers allows researchers to measure total physical activity, including light intensity and unstructured activities, which may be a better predictor of health outcomes than structured activity alone. The aim of this study was to examine objectively determined physical activity levels by sex, age and racial/ethnic groups in a national sample of U.S. adults.</p> <p>Methods</p> <p>Data were obtained from the 2003–2004 NHANES, a cross-sectional study of a complex, multistage probability sample of the U.S. population. Physical activity was assessed with the Actigraph AM-7164 accelerometer for seven days following an examination. 2,688 U.S. adults with valid accelerometer data (i.e. at least four days with at least 10 hours of wear-time) were included in the analysis. Mean daily total physical activity counts, as well as counts accumulated in minutes of light, and moderate-vigorous intensity physical activity are presented by sex across age and racial/ethnic groups. Generalized linear modeling using the log link function was performed to compare physical activity in sex and racial/ethnic groups adjusting for age.</p> <p>Results</p> <p>Physical activity decreases with age for both men and women across all racial/ethnic groups with men being more active than women, with the exception of Hispanic women. Hispanic women are more active at middle age (40–59 years) compared to younger or older age and not significantly less active than men in middle or older age groups (i.e. age 40–59 or age 60 and older). Hispanic men accumulate more total and light intensity physical activity counts than their white and black counterparts for all age groups.</p> <p>Conclusion</p> <p>Physical activity levels measured objectively by accelerometer demonstrated that Hispanic men are, in general, more active than their white and black counterparts. This appears to be in contrast to self-reported physical activity previously reported in the literature and identifies the need to use objective measures in situations where the contribution of light intensity and/or unstructured physical activity cannot be assumed homogenous across the populations of interest.</p

Energy Cost of Slow and Normal Gait Speeds in Low and Normally Functioning Adults

Objective Slow walking speed paired with increased energy cost is a strong predictor for mortality and disability in older adults but has yet to be examined in a heterogeneous sample (ie, age, sex, disease status). The aim of this study was to examine energy cost of slow and normal walking speeds among low- and normal-functioning adults. Design Adults aged 20–90 yrs were recruited for this study. Participants completed a 10-m functional walk test at a self-selected normal walking speed and were categorized as low functioning or normal functioning based on expected age- and sex-adjusted average gait speed. Participants completed two successive 3-min walking stages, at slower than normal and normal walking speeds, respectively. Gas exchange was measured and energy cost per meter (milliliter per kilogram per meter) was calculated for both walking speeds. Results Energy cost per meter was higher (P \u3c 0.0001) in the low-functioning group (n = 76; female = 59.21%; mean ± SD age = 61.13 ± 14.68 yrs) during the slower than normal and normal (P \u3c 0.0001) walking speed bouts compared with the normal-functioning group (n = 42; female = 54.76%; mean ± SD age = 51.55 ± 19.51 yrs). Conclusions Low-functioning adults rely on greater energy cost per meter of walking at slower and normal speeds. This has implications for total daily energy expenditure in low-functioning, adult populations

Validity of uniaxial accelerometry during activities of daily living in children

The purpose of this study was to examine the validity of treadmill-based equations of two commonly used uniaxial accelerometers to estimate energy expenditure (EE) during activities of daily living in children. Twelve subjects with mean (SD) age11.4 (0.4) years engaged in a choreographed routine consisting of three activities (sweeping, bowling, and basketball) of 4min duration while wearing a Manufacturing Technology, Inc. (MTI) accelerometer, Caltrac accelerometer, and a portable gas analyzer (Cosmed K4b 2 ). The equations of Trost et al. and Sallis et al. were used to convert activity counts to estimations of EE for the MTI and Caltrac, respectively. Correlation coefficients between Caltrac predictions of EE and measured EE from indirect calorimetry ranged from r =0.22 to 0.72 for individual activities. Correlations between MTI EE predictions and indirect calorimetry ranged from r =0.50 to 0.68 for individual activities. When the activities were pooled the correlations between EE from uniaxial accelerometers and EE from indirect calorimetry were moderately strong (MTI, r =0.78 and Caltrac, r =0.82). Inter-accelerometer (counts min −1 ) correlations were 0.08, −0.54, 0.63, and 0.79 for sweeping, bowling, basketball, and pooled data, respectively. The overall mean difference, or bias, and 95% confidence intervals (CI) for each uniaxial accelerometer compared to indirect calorimetry were as follows: Caltrac, bias = 2.80 (2.36, 3.24) kcal min −1 ; MTI, bias = 0.88 (0.23, 1.53) kcal min −1 . Both accelerometers significantly underestimated measured EE ( P <0.05). Uniaxial accelerometers provide potential for the measurement of physical activity (PA) and EE in children. Future studies refining accelerometry predictions of PA and EE are warranted.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47427/1/421_2003_Article_983.pd