scholarly journals Correlates of Objectively Measured Physical Activity Among People With Multiple Sclerosis: A Cross-Sectional Study

2021 ◽  
Vol 2 ◽  
Author(s):  
Jennifer Fortune ◽  
Meriel Norris ◽  
Andrea Stennett ◽  
Cherry Kilbride ◽  
Grace Lavelle ◽  
...  

Background: Identifying correlates of physical activity (PA) for people with multiple sclerosis (MS) is essential to design effective PA interventions.Methods: Participants completed a battery of questionnaires and wore an ActiGraph accelerometer. Light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) (min/day) were calculated. Associations were examined using multiple linear regression adjusted for demographic and clinical confounders.Results: Fifty-eight adults with MS participated (mean ± SD age: 56.8 ± 9.2 yr; 67% women). MS type was associated with time in LPA. Participants with secondary progressive MS (B = −54.0, 95% CI −84.7 to −23.3) and primary progressive MS (B = −42.9, 95% CI −77.5 to −8.3) spent less time in LPA than those with relapsing remitting MS. Walking capacity, assessed using the 12-item MS walking scale (MSWS-12), was associated with time in MVPA (B = −0.36, 95% CI −0.72 to −0.01).Conclusion: This work identifies walking capacity and type of MS as correlates of PA, which may indicate development of interventions to promote PA.

2017 ◽  
Vol 14 (4) ◽  
pp. 275-282 ◽  
Author(s):  
Irene Esteban-Cornejo ◽  
David Martinez-Gomez ◽  
Laura Garcia-Cervantes ◽  
Francisco B. Ortega ◽  
Alvaro Delgado-Alfonso ◽  
...  

Background:This study examined the associations of objectively measured physical activity in Physical Education and recess with academic performance in youth.Methods:This cross-sectional study was conducted with 1,780 participants aged 6 to 18 years (863 girls). Physical activity was objectively measured by accelerometry and was also classified according to sex- and agespecific quartiles of physical activity intensities. Academic performance was assessed through school records.Results:Physical activity in physical education (PE) and recess was not associated with academic performance (β ranging from –0.038 to –0.003; all P > .05). Youth in the lowest quartile of physical activity in PE engaged in an average of 1.40 min of moderate-to-vigorous physical activity and those in the highest quartile engaged in 21.60 min (for recess: lowest quartile, 2.20 min; highest quartile, 11.15 min). There were no differences in academic performance between quartiles of physical activity in Physical Education and recess.Conclusions:Time spent at different physical activity intensities during PE and recess does not impair academic performance in youth.


Author(s):  
Masashi Kanai ◽  
Kazuhiro P. Izawa ◽  
Hiroki Kubo ◽  
Masafumi Nozoe ◽  
Kyoshi Mase ◽  
...  

There is little evidence on how perceptions of the built environment may influence physical activity among post-stroke patients. This study aimed to explore the associations between perceived built environment attributes and objectively measured physical activity outcomes in community-dwelling ambulatory patients with stroke. This cross-sectional study recruited patients who could walk outside without assistance. We assessed both objectively measured physical activity outcomes such as number of steps and duration of moderate-to-vigorous physical activity (MVPA) with an accelerometer and the patients’ perceived surrounding built environment with the International Physical Activity Questionnaire Environmental Module. Sixty-one patients (67.0 years old) were included. The multiple linear regression analysis showed significant associations of the presence of sidewalks (β = 0.274, p = 0.016) and access to recreational facilities (β = 0.284, p = 0.010) with the number of steps taken (adjusted R2 = 0.33). In contrast, no significant associations were found between perceived built environment attributes and MVPA. These findings may help to suggest an approach to promote appropriate physical activity in patients with stroke depending on their surrounding built environment.


2020 ◽  
Author(s):  
Zhi jian Wu ◽  
Zhu ying Wang ◽  
Bing qian Hu ◽  
Xu hui Zhang ◽  
Fan Zhang ◽  
...  

Abstract Background: This study explored the effects of physical activity and sedentary behaviour on the decline of cognitive ability among the elderly. To compensate for the limitations of self-reported physical activity, objective measures were used. Methods: A cross-sectional survey of 308 aged people mean 68.66±5.377 years, in Nanjing, China, was conducted. Physical activity was measured using the ActiGraph GT3X+, and cognitive function was measured using the Montreal Cognitive Assessment. Results: The overall participant model, adjusted for age, BMI, education, and monthly average income, found that light physical activity (β=0.006, p<0.01), moderate-vigorous physical activity (β=0.068, p<0.001), and total physical activity (β=0.006, p<0.01) had a significant linear relationship with cognitive ability, while sedentary time did not (β=-0.020, p>0.05). Further, light physical activity only affects the cognitive ability of elderly females (β=0.006, p<0.05). There was an inverted ‘U’ association between moderate-vigorous physical activity and cognitive ability. The association models found that moderate-vigorous physical activity in the 22.13 min·day–1~38.79 min·day–1 range affected cognitive ability most beneficially, with the highest beta coefficient among all groups (β=0.091, p<0.05). Conclusions: While physical activity can significantly improve cognitive ability among the elderly, sedentary behaviour is associated with decreased cognitive function across genders.


2020 ◽  
Author(s):  
Zhi jian Wu ◽  
Zhu ying Wang ◽  
Bing qian Hu ◽  
Xu hui Zhang ◽  
Fan Zhang ◽  
...  

Abstract This study explored the effects of physical activity and sedentary behaviour on the decline of cognitive ability among the elderly. To compensate for the limitations of self-reported physical activity, objective measures were used. A cross-sectional survey of 308 aged people mean 68.66±5.377 years, in Nanjing, China, was conducted. Physical activity was measured using the ActiGraph GT3X+, and cognitive function was measured using the Montreal Cognitive Assessment. The overall participant model, adjusted for age, BMI, education, and monthly average income, found that light physical activity (β=0.006, p<0.01), moderate-vigorous physical activity (β=0.068, p<0.001), and total physical activity (β=0.006, p<0.01) had a significant linear relationship with cognitive ability, while sedentary time did not (β=-0.020, p>0.05). Further, light physical activity only affects the cognitive ability of elderly females (β=0.006, p<0.05). There was an inverted ‘U’ association between moderate-vigorous physical activity and cognitive ability. The association models found that moderate-vigorous physical activity in the 22.13 min·day –1 ~38.79 min·day –1 range affected cognitive ability most beneficially, with the highest beta coefficient among all groups (β=0.091, p<0.05). In conclusion, while physical activity can significantly improve cognitive ability among the elderly, sedentary behaviour is associated with decreased cognitive function across genders.


2018 ◽  
Vol 7 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Ane Kristiansen Solbraa ◽  
Sigmund Alfred Anderssen ◽  
Ingar Morten Holme ◽  
Elin Kolle ◽  
Bjørge Herman Hansen ◽  
...  

BMJ Open ◽  
2014 ◽  
Vol 4 (12) ◽  
pp. e005927 ◽  
Author(s):  
Sara Mutikainen ◽  
Elina Helander ◽  
Julia Pietilä ◽  
Ilkka Korhonen ◽  
Urho M Kujala

Author(s):  
Russell R. Pate ◽  
Marsha Dowda ◽  
Ruth P. Saunders ◽  
Natalie Colabianchi ◽  
Morgan N. Clennin ◽  
...  

Background: The prevalence of childhood obesity is higher in economically and socially deprived areas. Higher levels of physical activity reduce the risk of excessive weight gain in youth, and research has focused on environmental factors associated with children’s physical activity, though the term “physical activity desert” has not come into wide use. Methods: This exploratory study operationalized the term “physical activity desert” and tested the hypothesis that children living in physical activity deserts would be less physically active than children who do not. A cross-sectional study design was applied with 992 fifth-grade students who had provided objectively measured physical activity data. Five of 12 possible elements of the built environment were selected as descriptors of physical activity deserts, including no commercial facilities, no parks, low play spaces, no cohesion, and the presence of incivilities. Results: Univariate and multivariate analyses showed that only the absence of parks was associated with less physical activity in children. Conclusion: Children living in a “no park” zone were less active than their counterparts who lived near a park. This study contributes preliminary conceptual and operational definitions of “physical activity desert.” Future studies of physical activity deserts should be undertaken in larger and more diverse samples.


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