scholarly journals Influence of Physical Activity Energy Expenditure on Functional Fitness Among Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 187-188
Author(s):  
Sally Paulson ◽  
Michelle Gray
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Energy Expenditure ◽  
Critical Role ◽  
Step Test ◽  
Functional Fitness ◽  
Physical Activity Energy Expenditure ◽  
Significant Difference ◽  
Intensity Duration Frequency ◽  
Activity Energy

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 < .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.

scholarly journals Sleep Quality and Physical Activity as Predictors of Mental Wellbeing Variance in Older Adults during COVID-19 Lockdown: ECLB COVID-19 International Online Survey

2021 ◽  
Vol 18 (8) ◽  
pp. 4329
Author(s):  
Khaled Trabelsi ◽  
Achraf Ammar ◽  
Liwa Masmoudi ◽  
Omar Boukhris ◽  
Hamdi Chtourou ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Energy Expenditure ◽  
Sleep Quality ◽  
Online Survey ◽  
Total Physical Activity ◽  
Mental Wellbeing ◽  
Physical Activity Energy Expenditure ◽  
Western Asia ◽  
Activity Energy

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.

scholarly journals Fatigability as a function of physical activity energy expenditure in older adults

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

scholarly journals Intensity of Physical Activity in the Energy Expenditure of Older Adults

2014 ◽  
Vol 22 (4) ◽  
pp. 571-577 ◽  
Author(s):  
Lisa H. Colbert ◽  
Charles E. Matthews ◽  
Dale A. Schoeller ◽  
Thomas C. Havighurst ◽  
KyungMann Kim
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Energy Expenditure ◽  
Activity Index ◽  
Resting Metabolic Rate ◽  
Physical Activity Energy Expenditure ◽  
Mixture Regression ◽  
Physical Activity Index ◽  
Mixture Regression Model ◽  
Activity Energy

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.

scholarly journals Validation of Five Minimally Obstructive Methods to Estimate Physical Activity Energy Expenditure in Young Adults in Semi-Standardized Settings

Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 6133-6151 ◽  
Author(s):  
Mikkel Schneller ◽  
Mogens Pedersen ◽  
Nidhi Gupta ◽  
Mette Aadahl ◽  
Andreas Holtermann
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Energy Expenditure ◽  
Physical Activity Energy Expenditure ◽  
Activity Energy

Physical activity energy expenditure and fat-free mass: Relationship with metabolic syndrome in overweight or obese postmenopausal women

2020 ◽  
Author(s):  
René Maréchal ◽  
Ahmed Ghachem ◽  
Denis Prud'Homme ◽  
Rémi Rabasa-Lhoret ◽  
Isabelle J. Dionne ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Energy Expenditure ◽  
Postmenopausal Women ◽  
Fat Free Mass ◽  
Physical Activity Energy Expenditure ◽  
Cross Sectional ◽  
Framingham Risk ◽  
Menopause Transition ◽  
Activity Energy

Menopause transition is associated with detrimental changes in physical activity, body composition and metabolic profile. Although physical activity energy expenditure (PAEE) is inversely associated with metabolic syndrome (MetS) in individuals at higher risk of CVD, the association is unknown in low-risk individuals. The aim of the study was to investigate the association between PAEE and MetS (prevalence and severity) in inactive overweight or obese postmenopausal women with a low Framingham Risk Score (FRS:< 10%). Cross-sectional data of 126 participants were divided into quartiles based on PAEE (Q1= lowest PAEE) while fat-free mass (FFM) and fat mass (FM) were measured by DXA. MetS prevalence was significantly different between Q1 and Q4 (37.9% vs 13.3%, p= 0.03). After controlling for potential confounders, MetS severity was negatively associated with PAEE (B= -0.057, p< 0.01) and positively with FFM (B= 0.038, p< 0.001). Moderation analyses indicated that a greater FFM exacerbated the association between PAEE and MetS severity in Q1 and Q2 (PAEE*FFM; B= -0.004; p= 0.1). Our results suggest that displaying a low FRS and lower PAEE increase MetS prevalence and severity. In addition, greater FFM interacts with lower PAEE to worsens MetS severity, while higher PAEE lessened this effect. Novelty - Inactive individuals displaying higher daily PAEE also have a lower MetS prevalence - Greater fat-free mass is associated with a worse MetS severity where a higher PAEE mitigates this deleterious effect in our cohort

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