The purpose of this study was to assess the validity of the Human Activity Profile (HAP) by comparing scores with accelerometer data and by objectively testing its cutoff points. This study included 120 older women (age 60–90 years). Average daily time spent in sedentary, moderate, and hard activity; counts; number of steps; and energy expenditure were measured using an accelerometer. Spearman rank order correlations were used to evaluate the correlation between the HAP scores and accelerometer variables. Significant relationships were detected (rho = .47−.75, p < .001), indicating that the HAP estimates physical activity at a group level well; however, scatterplots showed individual errors. Receiver operating characteristic curves were constructed to determine HAP cutoff points on the basis of physical activity level recommendations, and the cutoff points found were similar to the original HAP cutoff points. The HAP is a useful indicator of physical activity levels in older women.
Alessandra de Carvalho Bastone, Bruno de Souza Moreira, Renata Alvarenga Vieira, Renata Noce Kirkwood, João Marcos Domingues Dias and Rosângela Corrêa Dias
Ralph Maddison, Cliona Ni Mhurchu, Andrew Jull, Yannan Jiang, Harry Prapavessis and Anthony Rodgers
This study sought to quantify the energy expenditure and physical activity associated with playing the “new generation” active and nonactive console-based video games in 21 children ages 10–14 years. Energy expenditure (kcal) derived from oxygen consumption (VO2) was continuously assessed while children played nonactive and active console video games. Physical activity was assessed continuously using the Actigraph accelerometer. Significant (p < .001) increases from baseline were found for energy expenditure (129–400%), heart rate (43–84%), and activity counts (122–1,288 versus 0–23) when playing the active console video games. Playing active console video games over short periods of time is similar in intensity to light to moderate traditional physical activities such as walking, skipping, and jogging.
Alessandra de Carvalho Bastone, Eduardo Ferriolli, Claudine Patricia Teixeira, João Marcos Domingues Dias and Rosângela Corrêa Dias
Self-reported measures of decreased aerobic fitness and low physical activity are criteria of frailty. However, research assessing aerobic fitness and physical activity levels associated with frailty is limited. Therefore, the aims of this study were to objectively assess the aerobic fitness and the physical activity level of frail and nonfrail elderly, and to examine the association between frailty, aerobic fitness and habitual physical activity.
This study included 26 elderly (66 to 86 years), randomly selected. The groups (frail/nonfrail) were age and sex paired. Peak oxygen consumption, maximal walking distance and speed were assessed during the incremental shuttle walk test (ISWT). Average daily time spent in sedentary, light, moderate and hard activity, counts, number of steps and energy expenditure were measured by accelerometry.
All variables measured by the ISWT and accelerometer differed significantly between the groups (P < .02). All aerobic fitness and physical activity variables were significantly associated with frailty, independent of the number of chronic health conditions (P < .05).
Frailty is associated with low peak oxygen consumption and low physical activity level. These findings could guide future clinical trials designed to evaluate the efficacy of aerobic exercises in the prevention and treatment of frailty.
Daniel P. Hatfield, Virginia R. Chomitz, Kenneth Chui, Jennifer M. Sacheck and Christina D. Economo
Associations between physical activity (PA) intensity and volume and adolescents’ cardiometabolic health have research, policy, and practice implications. This study compares associations between cardiometabolic risk factors and 1) moderate-to-vigorous PA (MVPA) minutes versus total PA volume (accelerometer-derived total activity counts, TAC) and 2) light PA volume (counts at light intensity, L-TAC) versus moderate-to-vigorous PA volume (counts at moderate-to-vigorous intensity, MV-TAC).
2105 adolescents from 2003– 2006 NHANES were included. Independent variables were MVPA minutes, TAC, L-TAC, and MV-TAC. Regression models tested associations between PA variables and continuous metabolic risk index (CMRI), waist circumference, systolic and diastolic blood pressure, HDL, insulin, and triglycerides.
TAC demonstrated a slightly stronger inverse association with CMRI (P = .004) than did MVPA (P = .013). TAC and MVPA were both associated with systolic and diastolic pressure, HDL, and insulin; associations were similar or slightly stronger for TAC. L-TAC and MV-TAC were both associated with CMRI and HDL. Only L-TAC was associated with diastolic pressure. Only MV-TAC was associated with waist circumference, systolic pressure, and insulin.
Compared with MVPA minutes, TAC demonstrates similar or slightly stronger associations with cardiometabolic risk factors. L-TAC and MV-TAC appear similarly associated with adolescents’ clustered risk but differently associated with individual risk factors.
Melissa Raymond, Adele Winter and Anne E. Holland
Older adults undergoing rehabilitation may have limited mobility, slow gait speeds and low levels of physical activity. Devices used to quantify activity levels in older adults must be able to detect these characteristics.
To investigate the validity of the Positional Activity Logger (PAL2) for monitoring position and measuring physical activity in older inpatients (slow stream rehabilitation).
Twelve older inpatients (≥65 years) underwent a 1-hour protocol (set times in supine, sitting, standing; stationary and moving). Participants were video-recorded while wearing the PAL2. Time spent in positions and walking (comfortable and fast speeds) were ascertained through video-recording analysis and compared with PAL2 data.
There was no difference between the PAL2 and video recording for time spent in any position (P-values 0.055 to 0.646). Walking speed and PAL2 count were strongly correlated (Pearson’s r = .913, P < .01). The PAL2 was responsive to within-person changes in gait speed: activity count increased by an average of 52.47 units (95% CI 3.31, 101.63). There was 100% agreement for transitions between lying to sitting and < 1 transition difference between siting to standing.
The PAL2 is a valid tool for quantifying activity levels, position transitions, and within-person changes in gait speed in older inpatients.
Robert E. Davis and Paul D. Loprinzi
To examine whether accelerometer-measured physical activity–based reactivity was present in a nationally representative sample of U.S. children (6–11 yrs), adolescents (12–17 yrs), and adults (≥20 yrs).
Data from the 2003–2006 National Health and Nutrition Examination Survey (N = 674, 6–85 yrs) were used. Physical activity (PA) was assessed using the ActiGraph 7164 accelerometer, with PA assessed over 7 days of monitoring. Two PA metrics were assessed, including activity counts per day (CPD) and time spent in moderate-to-vigorous PA. Evidence of reactivity was defined as a statistically significantly change in either of these 2 PA metrics from day 1 of monitoring to days 2 or 3, with day 1 of monitoring being a Monday.
Suggestion of reactivity was observed only for the adult population where CPD from days 2 and 3 (297,140.6 ± 7920.3 and 295,812.9 ± 8364.9), respectively, differed significantly from day 1 (309,611.5 ± 9134.9) over the monitoring period (4.0% to 4.5% change). The analysis was conducted 2 additional times with differing start days (Tuesday and Wednesday), and this approach failed to demonstrated a reactive presence.
In this national sample of U.S. children, adolescents and adults, we did not observe sufficient evidence of accelerometer reactivity.
Andrea K. Chomistek, Eric J. Shiroma and I-Min Lee
Physical activity is important for maintaining healthy weight. The time of day when exercise is performed—a highly discretionary aspect of behavior—may impact weight control, but evidence is limited. Thus, we examined the association between the timing of physical activity and obesity risk in women.
A cross-sectional analysis was conducted among 7157 Women’s Health Study participants who participated in an ancillary study begun in 2011 that is measuring physical activity using accelerometers. The exposure was percentage of total accelerometer counts accumulated before 12:00 noon and the outcome was obesity.
Mean (±SD) BMI among participants was 26.1 (±4.9) kg/m2 and 1322 women were obese. The mean activity counts per day was 203,870 (±95,811) of which a mean 47.1% (±11.5%) were recorded in the morning. In multivariable-adjusted models, women who recorded < 39% (lowest quartile) of accelerometer counts before 12:00 noon had a 26% higher odds of being obese, compared with those recording ≥ 54% (highest quartile) of counts before noon (P trend = 0.02).
These study findings—that women who are less active during morning hours may be at higher risk of obesity—if confirmed can provide a novel strategy to help combat the important health problem of obesity.
Karla E. Foster, Timothy K. Behrens, Abigail L. Jager and David A. Dzewaltowski
This study evaluated the effect of elimination and nonelimination games on objectively measured physical activity and psychosocial responses in children.
A total of 29 children in grades 4 to 6 (65.5% male; 10.5 ± 1.0 years old) wore an accelerometer while participating in 2 elimination and 2 nonelimination games. Activity counts were collected using a 30-second epoch and converted to METs to determine minutes spent in sedentary behavior and light, moderate, vigorous, and moderate-to-vigorous physical activity. Self-efficacy, enjoyment, and peer-victimization were assessed on 4 occasions (before and after 2 elimination and 2 nonelimination games).
Overall, girls spent more time in sedentary behavior compared with boys. Children engaged in significantly more moderate-to-vigorous physical activity during nonelimination games compared with elimination games. Furthermore, children significantly increased self-efficacy after playing both game sessions. A significant interaction between type of game and time of measurement in the prediction of enjoyment showed that enjoyment modestly increased after elimination games and slightly decreased after nonelimination games. There were no differences in peer-victimization.
This study provides preliminary evidence that nonelimination games provide more moderate-to-vigorous physical activity compared with elimination games, but elimination games may be more enjoyable.
Rachel A. Jones, Annaleise Riethmuller, Kylie Hesketh, Jillian Trezise, Marijka Batterham and Anthony D. Okely
The aim of this study was to assess the feasibility, acceptability and potential efficacy of a physical activity program for preschool children. A 20-week, 2-arm parallel cluster randomized controlled pilot trial was conducted. The intervention comprised structured activities for children and professional development for staff. The control group participated in usual care activities, which included designated inside and outside playtime. Primary outcomes were movement skill development and objectively measured physical activity. At follow-up, compared with children in the control group, children in the intervention group showed greater improvements in movement skill proficiency, with this improvement statically significant for overall movement skill development (adjust diff. = 2.08, 95% CI 0.76, 3.40; Cohen’s d = 0.47) and significantly greater increases in objectively measured physical activity (counts per minute) during the preschool day (adjust diff. = 110.5, 95% CI 33.6, 187.3; Cohen’s d = 0.46). This study demonstrates that a physical activity program implemented by staff within a preschool setting is feasible, acceptable and potentially efficacious.
James N. Roemmich, Christina L. Lobarinas, Jacob E. Barkley, Tressa M. White, Rocco Paluch and Leonard H. Epstein
This study evaluated the effectiveness of an open-loop system that reinforces physical activity with TV watching to increase children’s physical activity. Nonoverweight, sedentary boys and girls (8–12 y) were randomized to a group that received feedback of activity counts + reinforcement for physical activity by providing access to television (F+R, n = 20); or to feedback, no reinforcement (Feedback, n = 20) or no feedback, no reinforcement control (Control, n = 21) groups. Children wore an accelerometer with a count display for 4-months with a 1-year follow-up. F+R reduced TV by 68 min/day and TV time was lower than the Feedback (p < .005) and Control (p < .002) groups. TV time of F+R remained 31 min lower (p < .02) than baseline at 1-year. F+R had a 44% increase in physical activity, which was greater than the feedback (p < .04) and control (p < .01) groups. An open-loop system decreases TV viewing and increases physical activity of children for 4-months. TV of the F+R group remained lower at 12 months, suggesting a reduction in screen-time habits.