Associations of Physical Activity Energy Expenditure with Nutritional-Inflammatory Markers in Hemodialysis Patients

2017 ◽  
Vol 40 (12) ◽  
pp. 670-675
Author(s):  
Clarcson P. Santos ◽  
Luciana F. Silva ◽  
Marcelo B. Lopes ◽  
Márcia T.S. Martins ◽  
Angiolina C. Kraychete ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Predictor Variable ◽  
Maintenance Hemodialysis ◽  
Physical Activity Energy Expenditure ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Metabolic Equivalent Of Task ◽  
Conicity Index ◽  
Activity Energy

Background Sedentariness, high inflammation status and malnutrition are highly prevalent in end-stage kidney disease patients on maintenance hemodialysis (MHD). This study investigated associations of weekly physical activity energy expenditure (PAEE) with clinical and anthropometric markers of nutrition and inflammation. Methods The analysis was performed using baseline cross-sectional data of 640 patients enrolled in the prospective cohort “The Prospective Study of the Prognosis of Patients Treated Chronically by Hemodialysis” (PROHEMO) developed in Salvador, BA, Brazil. The long version of the International Physical Activity Questionnaire was used to determine a summary measure of PAEE, the metabolic equivalent of task (MET), taking into account physical activities related to occupation, recreation, travel, sports, and housework. PAEE was the predictor variable. To assess associations of PAEE with outcomes, the sex-age-specific median MET was used. The malnutrition-inflammation score (MIS) with range of 0 to 30 (higher is worse), conicity index as indicator of abdominal adiposity and C-reactive protein (CRP) were the nutritional-inflammatory outcomes. Results The mean age of the patients was 48.9 ± 13.8 y, 60.3% were males, 16.7% diabetic, 88.1% nonwhite. In multivariable logistic regression models with adjustments for sociodemographic variables and comorbidities, PAEE ≤median was associated with MIS ≥6 (odds ratio [OR] = 1.57; 95% confidence interval [CI] = 1.08, 2.29), conicity index ≥1.3 (OR = 1.52, 95% CI = 1.03, 2.23) and CRP >1.30 mg/dL (OR = 1.69, 95% CI = 1.08, 2.84). Conclusions Greater physical activity assessed by PAEE was associated with indicators of better nutritional and inflammation status. These results indicate opportunities for improving outcomes in MHD patients by counseling and treatment intervention.

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

Estimating leisure-time physical activity energy expenditure in the Canadian population: a comparison of 2 methods

2009 ◽  
Vol 34 (4) ◽  
pp. 666-672 ◽  
Author(s):  
Shirley N. Bryan ◽  
Peter T. Katzmarzyk
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Canadian Community Health Survey ◽  
Physical Activity Energy Expenditure ◽  
Cross Sectional ◽  
Statistics Canada ◽  
The Impact ◽  
Activity Energy

The purpose of this study was to determine the impact of 2 different calculation methods for total leisure-time physical activity energy expenditure (LTPAEE) and LTPAEE from different intensity activities on the classification of level of physical activity in the population. Nationally representative cross-sectional data from the Canadian Community Health Survey Cycle 4.1 (2007) were used for this study (N = 64 397). LTPAEE was calculated using a metabolic equivalent (MET) value of 4.0 for all activities in the “other activity” category for method 1 (currently employed by Statistics Canada) and using activity-specific MET values for method 2. The weighted prevalence and 95% confidence intervals of active (≥3  kcal·kg–1·day–1 (kkd)), moderately active (1.5–2.9 kkd), and inactive (<1.5 kkd) were determined for each method by demographic characteristics. The agreement between the 2 methods was assessed overall, and for light, moderate, and vigorous activities. There was no difference between methods in the proportion classified as active, moderately active, or inactive for any of the subgroups studied and there was no difference in the distribution or mean LTPAEE between methods. However, assessment of the agreement showed a large number of outliers and a tendency to underestimate LTPAEE from light and vigorous activities while overestimating LTPAEE from moderate activities at the individual level. The results of this study should be considered when performing inferential statistics on the relationship between physical activity and health outcomes.

scholarly journals Energy expenditure through physical activity in a population of community-dwelling Brazilian elderly: cross-sectional evidences from the Bambuí cohort study of aging

2011 ◽  
Vol 27 (suppl 3) ◽  
pp. s399-s408 ◽  
Author(s):  
Juciany Rodrigues de Oliveira Ramalho ◽  
Maria Fernanda Lima-Costa ◽  
Josélia O. A. Firmo ◽  
Sérgio Viana Peixoto
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Total Energy Expenditure ◽  
Community Dwelling ◽  
Physical Activity Energy Expenditure ◽  
Cross Sectional ◽  
Effective Strategies ◽  
High Prevalence ◽  
Minas Gerais State ◽  
Activity Energy

The aim of this study was to estimate physical activity energy expenditure among older adults. The study comprised 1,585 residents in Bambuí, Minas Gerais State, Brazil, aged > 60 years (91% of the town's total elderly), and examined the frequency and duration of 23 types of physical activity among them. Median energy expenditure was 975 MET.min/week (1,195.8 among men and 803.1 among women), declining significantly with age in both sexes. The prevalence of sedentary lifestyles (< 450 MET.min/week) was 31.2%. Unhurried walking accounted for about 1/3 of total energy expenditure. Multivariate analysis based on ordinal logistic regression showed inverse associations between energy expenditure and age and hospitalizations in both sexes. Among men, inverse associations were observed with smoking, number of chronic diseases and number of medical appointments. These results emphasize the need for effective strategies to increase physical activity in older elderly, and underscore the high prevalence of walking in this group.

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