scholarly journals Activity Energy Expenditure and Mobility Limitation in Older Adults: Differential Associations by Sex

2009 ◽  
Vol 169 (12) ◽  
pp. 1507-1516 ◽  
Author(s):  
T. M. Manini ◽  
J. E. Everhart ◽  
K. V. Patel ◽  
D. A. Schoeller ◽  
S. Cummings ◽  
...  
JAMA ◽  
2006 ◽  
Vol 296 (2) ◽  
pp. 171 ◽  
Author(s):  
Todd M. Manini ◽  
James E. Everhart ◽  
Kushang V. Patel ◽  
Dale A. Schoeller ◽  
Lisa H. Colbert ◽  
...  

Author(s):  
Khaled Trabelsi ◽  
Achraf Ammar ◽  
Liwa Masmoudi ◽  
Omar Boukhris ◽  
Hamdi Chtourou ◽  
...  

Background. The COVID-19 lockdown could engender disruption to lifestyle behaviors, thus impairing mental wellbeing in the general population. This study investigated whether sociodemographic variables, changes in physical activity, and sleep quality from pre- to during lockdown were predictors of change in mental wellbeing in quarantined older adults. Methods. A 12-week international online survey was launched in 14 languages on 6 April 2020. Forty-one research institutions from Europe, Western-Asia, North-Africa, and the Americas, promoted the survey. The survey was presented in a differential format with questions related to responses “pre” and “during” the lockdown period. Participants responded to the Short Warwick–Edinburgh Mental Wellbeing Scale, the Pittsburgh Sleep Quality Index (PSQI) questionnaire, and the short form of the International Physical Activity Questionnaire. Results. Replies from older adults (aged >55 years, n = 517), mainly from Europe (50.1%), Western-Asia (6.8%), America (30%), and North-Africa (9.3%) were analyzed. The COVID-19 lockdown led to significantly decreased mental wellbeing, sleep quality, and total physical activity energy expenditure levels (all p < 0.001). Regression analysis showed that the change in total PSQI score and total physical activity energy expenditure (F(2, 514) = 66.41 p < 0.001) were significant predictors of the decrease in mental wellbeing from pre- to during lockdown (p < 0.001, R2: 0.20). Conclusion. COVID-19 lockdown deleteriously affected physical activity and sleep patterns. Furthermore, change in the total PSQI score and total physical activity energy expenditure were significant predictors for the decrease in mental wellbeing.


2010 ◽  
Vol 6 ◽  
pp. S162-S162
Author(s):  
Laura E. Middleton ◽  
Todd M. Manini ◽  
Eleanor M. Simonsick ◽  
Tamara B. Harris ◽  
Deborah E. Barnes ◽  
...  

2009 ◽  
Vol 13 (5) ◽  
pp. 414-420 ◽  
Author(s):  
D. R. Shahar ◽  
◽  
B. Yu ◽  
D. K. Houston ◽  
S. B. Kritchevsky ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 187-188
Author(s):  
Sally Paulson ◽  
Michelle Gray

Abstract Remaining physically active as one ages plays a critical role in maintaining health and improving functional capacity. Further, older adults can see additional health-related benefits by increasing intensity, duration, frequency, and/or levels of physical activity. However, there is limited research examining physical activity energy expenditure (PAEE) and measures of functional fitness. Therefore, the purpose was to examine differences between older adults with varying levels of PAEE on selected measures of functional fitness. A sample of 25 adults (age: 74.0±7.1 years) were recruited from an urban area and divided into two groups. PAEE was calculated using the total caloric expenditure per week for all exercise-related activities from a self-reported PA questionnaire. Group one expended less than 3,000 calories per week and group two spent more than 3,000 calories per week performing PA. The selected measures of functional fitness were a 4-m gait speed (GS), 30-s chair stand test (CS-30), 2-min step test (ST), and the 8-foot up and go test (GUG). Data were analyzed using a one-way ANOVA. There was a statistically significant difference between the groups on GS (F1, 24 = 9.29, p &lt; .01) and CS-30 (F1, 24 = 4.37, p = .05). The results yielded a trend for the GUG (p =.06). However, there was not a difference between the groups on the ST (p = .11). These results suggest older adults expending more than 3,000 calories per week performing PA walk faster and have greater lower-body strength.


AGE ◽  
2011 ◽  
Vol 35 (1) ◽  
pp. 179-187 ◽  
Author(s):  
Maciej S. Buchowski ◽  
Sandra F. Simmons ◽  
Lauren E. Whitaker ◽  
James Powers ◽  
Linda Beuscher ◽  
...  

2014 ◽  
Vol 22 (4) ◽  
pp. 571-577 ◽  
Author(s):  
Lisa H. Colbert ◽  
Charles E. Matthews ◽  
Dale A. Schoeller ◽  
Thomas C. Havighurst ◽  
KyungMann Kim

This study examined the intensity of activity contributing to physical activity energy expenditure in older adults. In 57 men and women aged ≥ 65, total energy expenditure (TEE) was measured using doubly labeled water and resting metabolic rate was measured using indirect calorimetry to calculate a physical activity index (PAI). Sedentary time and physical activity of light and moderate to vigorous (mod/vig) intensity was measured using an accelerometer. The subjects were 75 ± 7 yrs (mean ± SD) of age and 79% female. Subjects spent 66 ± 8, 25 ± 5, and 9 ± 4% of monitor wear time in sedentary, light, and mod/vig activity per day, respectively. In a mixture regression model, both light (β = 29.6 [15.6–43.6, 95% CI]), p < .001) and mod/vig intensity activity (β = 28.7 [7.4−50.0, 95% CI]), p = .01) were strongly associated with PAI, suggesting that both light and mod/vig intensity activities are major determinants of their physical activity energy expenditure.


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