Search Results

You are looking at 51 - 60 of 410 items for :

  • "physical function" x
Clear All
Restricted access

Bianca Fernandes, Fabio Augusto Barbieri, Fernanda Zane Arthuso, Fabiana Araújo Silva, Gabriel Felipe Moretto, Luis Felipe Itikawa Imaizumi, Awassi Yophiwa Ngomane, Guilherme Veiga Guimarães and Emmanuel Gomes Ciolac

Purpose: To investigate the effect of high-intensity interval training (HIIT) versus moderate-intensity continuous exercise training (MICE) on hemodynamic and functional variables in individuals with Parkinson’s disease. Methods: Twenty participants (13 men) were randomly assigned to a thrice-weekly HIIT (n = 12) or MICE (n = 8) for 12 weeks. Hemodynamic (resting heart rate and blood pressure, carotid femoral pulse wave velocity, endothelial reactivity, and heart rate variability) and functional variables (5-time sit-to-stand, timed up and go, and 6-min walking tests) assessed before and after training. Results: Demographic, hemodynamic and functional variables were similar between groups at baseline. Endothelial reactivity tended to increase after HIIT, but not after MICE, resulting in improved level (∼8%, P < .01) of this variable in HIIT versus MICE during follow-up. Six-minute walking test improved after HIIT (10.4 ± 3.8%, P < .05), but did not change after MICE. Sit to stand improved similarly after HIIT (27.2 ± 6.1%, P < .05) and MICE (21.5 ± 5.4%, P < .05). No significant changes were found after HIIT or MICE in any other variable assessed. Conclusion: These results suggest that exercise intensity may influence training-induced adaptation on endothelial reactivity and aerobic capacity in individuals with Parkinson’s disease.

Restricted access

Louise L. Hardy, Ding Ding, Louisa R. Peralta, Seema Mihrshahi and Dafna Merom

Background: To examine the associations between school-age children’s sedentary behavior, screen time, and 3 physical activity attributes: muscular strength, cardiorespiratory endurance (CRE), and fundamental movement skills. Methods: Cross-sectional survey of 2734 children in years 2 and 4 and 3671 adolescents in years 6, 8, and 10. Total sitting time, 6 screen time behaviors, and physical activity were measured by self-report. Muscular strength was assessed by standing broad jump; CRE by 20-m shuttle run test; and fundamental movement skills by process-oriented checklists. Associations between incremental sitting and screen time (in hours) and meeting the healthy zone of physical activity attributes were examined using logistic regression. Results: After adjusting for covariates and physical activity, children had lower odds of achieving the healthy zone for muscular strength and CRE for each hour of week (but not weekend) screen time. For adolescents, each hour of screen time per day was associated with lower odds of achieving the healthy fitness zone for CRE, locomotor skills, and overall healthy zone, and each hour of weekend screen time was associated with lower odds of achieving the healthy zone for most attributes and overall healthy zone. The associations were slightly stronger among adolescent girls than boys. The findings were similar for total sitting time. Conclusions: Screen time was associated with a lower likelihood to achieve healthy zones of physical activity attributes, and the effect was more consistent and slightly stronger among adolescents than children. This may suggest that the negative effects of screen time are incremental, emerging during adolescence.

Restricted access

Yuko Oguma, Yusuke Osawa, Michiyo Takayama, Yukiko Abe, Shigeho Tanaka, I-Min Lee and Yasumichi Arai

Background:

To date, there is no physical activity (PA) questionnaire with convergent and construct validity for the oldest-old. The aim of the current study was to investigate the validity of questionnaire-assessed PA in comparison with objective measures determined by uniaxial and triaxial accelerometers and physical performance measures in the oldest-old.

Methods:

Participants were 155 elderly (mean age 90 years) who were examined at the university and agreed to wear an accelerometer for 7 days in the 3-year-follow-up survey of the Tokyo Oldest-Old Survey of Total Health. Fifty-nine participants wore a uniaxial and triaxial accelerometer simultaneously. Self-rated walking, exercise, and household PA were measured using a modified Zutphen PA Questionnaire (PAQ). Several physical performance tests were done, and the associations among PAQ, accelerometer-assessed PA, and physical performances were compared by Spearman’s correlation coefficients.

Results:

Significant, low to moderate correlations between PA measures were seen on questionnaire and accelerometer assessments (ρ = 0.19 to 0.34). Questionnaireassessed PA measure were correlated with a range of lower extremity performance (ρ = 0.21 to 0.29).

Conclusions:

This PAQ demonstrated convergent and construct validity. Our findings suggest that the PAQ can reasonably be used in this oldest-old population to rank their PA level.

Restricted access

Stephen Harvey, Chris Rissel and Mirjam Pijnappels

Falls among older adults remain a significant public health issue. Bicycling positively influences falls risk factors including reduced balance, muscle weakness, and low self-perceived confidence in maintaining balance. However, this association has not been systematically examined. We recruited 107 community-dwelling participants aged 65 years and older in the Netherlands to determine the relationship between bicycling and falls risk factors. Participants completed three questionnaires on cycling behavior and balance confidence, and also undertook five falls-related physical performance tasks encompassing tests of balance, strength, gait, and endurance. On average, current bicyclists showed significantly better scores in all physical tasks and confidence compared with nonriders ranging from a 10% difference in 6-m walk time to a 141% difference in single-leg balance time (all ps = .01). Type of bike used and duration of bicycling displayed varied associations (.01 < ps < .79). Our findings suggest that bicycle riding warrants further prospective investigation for fall prevention and active aging.

Restricted access

Sabrine N. Costa, Edgar R. Vieira and Paulo C. B. Bento

center (H+CB) on frailty status, strength, physical function, and gait of prefrail older women. Methods Study Design The study was conducted in the Center for Motor Behavior Studies at the Federal University of Paraná, Brazil, between February 2017 and August 2017. All pre- and postoutcomes measures were

Restricted access

Katie J. Thralls and Susan S. Levy

-Figuls, Coll-Planas, Sitia-Rabert, & Salva, 2014 ). Rikli and Jones ( 1999 ) developed Senior Fitness Tests (SFT) that are validated, objective measures of physical functions needed for ADLs. Recently, criterion-referenced fitness standards for maintenance of physical independence for each SFT of physical

Restricted access

David Geard, Amanda L. Rebar, Peter Reaburn and Rylee A. Dionigi

, psychological, cognitive, and social functioning over time is in short supply or absent ( Donato et al., 2003 ; Wiswell et al., 2001 ). However, cross-sectional data is useful and regularly utilized to investigate the relationship between masters athletes’ age and physical functioning ( Tanaka & Seals, 2003

Restricted access

Daniël M. van Leeuwen, Fabian van de Bunt, Cornelis J. de Ruiter, Natasja M. van Schoor, Dorly J.H. Deeg and Kaj S. Emanuel

.I. , Russo , A. , … Landi , F. ( 2008 ). Physical function and self-rated health status as predictors of mortality: results from longitudinal analysis in the ilSIRENTE study . BMC Geriatrics, 8 , 34 . 19102751 10.1186/1471-2318-8-34 Crapo , R.O. , Casaburi , R. , Coates , A.L. , Enright , P

Restricted access

Margaret Delaney, Meghan Warren, Brian Kinslow, Hendrik de Heer and Kathleen Ganley

29,902 participants completed the questionnaires and examinations during the 2011–2016 period. Participants who refused or who had missing data from any survey (including demographics, physical activity, physical function, or other health conditions) were excluded. The present study included

Restricted access

Kenneth C. Lam and Jessica G. Markbreiter

PedsQL scores (Table  2 ). Main effects of injury history were reported with the HIS group reporting significantly lower scores than the NO-HIS group for the Pedi-IKDC total score (HIS = 79.2 [21.7], NO-HIS = 95.8 [8.6]) and PedsQL total (HIS = 85.7 [10.9], NO-HIS = 90.9 [7.3]); physical functioning (HIS