Search Results

You are looking at 1 - 10 of 1,470 items for :

  • "activity levels" x
Clear All
Restricted access

Jaehun Jung, Willie Leung, Bridgette Marie Schram and Joonkoo Yun

activity levels between individuals with and without disabilities ( Rintala et al., 2011 ; Tsai, Ward, Lentz, & Kieckhefer, 2012 ). According to Tsai et al. ( 2012 ), children with and without asthma did not differ on mean activity and peak activity levels. Rintala et al. ( 2011 ) also concluded that

Open access

Amy R. Barchek, Shelby E. Baez, Matthew C. Hoch and Johanna M. Hoch

physical activity have been used to determine physical activity levels in patients with a history of musculoskeletal injury. These findings are pertinent to patient care, as an understanding of how these injuries may affect a person’s physical activity can help clinicians educate their patients on the

Restricted access

Mieko Yokozuka, Chie Miki, Makoto Suzuki and Rieko Katsura

the participants regularly gathered to participate in physical fitness activities. Toe flexor strength was measured using a dynamometer, and the activity levels in daily life were measured using a pedometer and the life space assessment (LSA) questionnaire form. Toe flexor strength and LSA scores were

Restricted access

Kazuhiro Harada, Sangyoon Lee, Sungchul Lee, Seongryu Bae, Yuya Anan, Kenji Harada and Hiroyuki Shimada

, physical activity level is lower in older adults ( Inoue et al., 2011 ). Thus, promotions of physical activity are important to reduce the increase of the population with dementia ( Barnes & Yaffe, 2011 ). Increasing the expectation about the link between physical activities and reduction in dementia risk

Restricted access

Guy C. Le Masurier, Aaron Beighle, Charles B. Corbin, Paul W. Darst, Charles Morgan, Robert P. Pangrazi, Bridgette Wilde and Susan D. Vincent

Background:

The purpose of this study was to describe the pedometer-determined physical activity levels of American youth.

Methods:

A secondary analysis of six existing data sets including 1839 (1046 females, 793 males; ages 6 to 18) school-aged, predominantly white subjects from the southwest US. Grade clusters for elementary (grades 1 to 3), upper elementary (grades 4 to 6), middle school (grades 7 to 9), and high school (grades 10 to 12) were created for statistical analysis.

Results:

Males in grades 1 to 3 and 4 to 6 accumulated significantly more steps/d (13,110 ± 2870 and 13,631 ± 3463, respectively; P < 0.001) than males in grades 7 to 9 and 10 to 12 (11,082 ± 3437 and 10,828 ± 3241). Females in grades 1 to 3 and 4 to 6 accumulated significantly more steps/d (11,120 ± 2553 and 11,125 ± 2923; P < 0.001) than females in grades 7 to 9 and 10 to 12 (10,080 ± 2990 and 9706 ± 3051).

Conclusions:

Results are consistent with those reported for other objective assessments of youth activity indicating that males are typically more active than females and physical activity is less prevalent among secondary school youth than those in elementary school. Pedometer-determined physical activity levels of youth, including secondary school youth, are higher than reported for adult populations.

Restricted access

Claudia O. Alberico, J. Aaron Hipp and Rodrigo S. Reis

installing FZ in parks increased frequency of use and levels of physical activities in those locations, as well as the weekly frequency of physical activities among users of the parks. Similarly, in Australia, Cranney et al 13 found that installing FZ in parks increased physical activity levels of park

Restricted access

Priscilla G. MacRae, John F. Schnelle, Sandra F. Simmons and Joseph G. Ouslander

The purpose of this study was to describe the physical activity levels of ambulatory nursing home residents (N = 95) and identify factors that predicted these activity levels. The residents’ physical activity levels (standing, walking, and wheelchair propulsion), as measured by time-sampled observations and Caltrac motion sensors, indicated that restraint use was the major predictor of low physical activity. Both the physically restrained and the physically unrestrained groups, however, were inactive, with 93.8% and 83.5% of the observations, respectively, representing either lying or sitting. In the unrestrained group, scores measuring the resident’s fall risk, self-selected walking speed, upper and lower body strength, and body mass index were significant predictors of physical activity level. In the restrained group, scores measuring the resident’s fall risk and upper body strength were significant predictors of activity level.

Restricted access

Hiroyuki Sagayama, Makiko Toguchi, Jun Yasukata, Kazunari Yonaha, Yasuki Higaki and Hiroaki Tanaka

expenditure (TEE) and physical activity level (PAL) accurately using a gold standard, such as the doubly labeled water (DLW) method ( Schoeller et al., 1986 ). An earlier study estimated that TEE was about 19.3 MJ/day (4,609 kcal/day) for offshore racing over 13 days using DLW methods measurements ( Branth et

Restricted access

Casey Mace Firebaugh, Simon Moyes, Santosh Jatrana, Anna Rolleston and Ngaire Kerse

 < .001) for those with the lowest grip strength ( Ling et al., 2010 ). The study also assessed physical activity levels and found that lower handgrip strength was also significantly associated ( p  < .001) with lower levels of physical activity ( Ling et al., 2010 ). This concurs with another study

Restricted access

Joey C. Eisenmann, P.T. Katzmarzyk and Mark S. Tremblay

Background:

In recent years, it has been noted that children and youth are physically inactive, and physical activity levels have declined over the past decades. However, few empirical studies have been conducted to test this assumption. Therefore, the purpose of this study was to examine leisure-time physical activity levels among Canadian adolescents 12–19 years of age.

Methods:

Age, sex, geographic, and temporal trends in leisure-time physical activity energy expenditure (AEE) were examined using data from 5 national surveys conducted between 1981 and 1998. AEE was calculated from participants’ questionnaire responses on physical activity participation. General linear models were used to examine the differences in AEE across survey years, geographic regions, sexes, and age groups.

Results:

Males and 12–14-year-olds displayed greater AEE than females and 15–19-year-olds, respectively, and AEE was lowest in Quebec and highest in the West. AEE increased between the 1981 and 1988 surveys and has since remained relatively stable. The prevalence of subjects meeting the 12.6 kJ · kg−1 · d−1 (3 kcal · kg−1 · d−1) recommendation increased from 1981 to 1988. Since 1988, the prevalence of those meeting the 12.6 kJ · kg−1 · d−1 recommendation has decreased in 12–14 year old boys and remained relatively stable in the other groups. In 1998, about 45% of males and 35% of females met the 12.6 kJ · kg−1 · d−1 recommendation. In 1998, about 20% of 12–19-year-old males and 12–14-year-old females met the 25.1 kJ · kg−1 · d−1 (6 kcal · kg−1 · d−1) recommendation, while about 10% of 15–19-year-old females met this recommendation. In females, the prevalence of those meeting the 25.1 kJ · kg−1 · d−1 recommendation has remained relatively stable (about 10%) since 1981 except for an increase between 1996 and 1998 in 12–14-year-old girls. In males, a similar pattern, but not as dramatic, of that observed for the prevalence of those meeting the 12.6 kJ · kg−1 · d−1 emerged—that is, an increase between 1981 and 1988 and then a decrease in 12–14-year-old boys and a stable pattern in 15–19-year-old boys.

Conclusion:

Although self-reported leisure-time physical activity appears to have increased since 1981, a majority of Canadian adolescents do not meet current recommendations for physical activity.