scholarly journals Physical Activity Energy Expenditure Predicts Progression Toward the Metabolic Syndrome Independently of Aerobic Fitness in Middle-Aged Healthy Caucasians: The Medical Research Council Ely Study

Diabetes Care ◽  
2005 ◽  
Vol 28 (5) ◽  
pp. 1195-1200 ◽  
Author(s):  
U. Ekelund ◽  
S. Brage ◽  
P. W. Franks ◽  
S. Hennings ◽  
S. Emms ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Energy Expenditure ◽  
Medical Research ◽  
Aerobic Fitness ◽  
Research Council ◽  
Medical Research Council ◽  
Physical Activity Energy Expenditure ◽  
The Metabolic Syndrome ◽  
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

Relationship between the metabolic syndrome and physical activity energy expenditure: a MONET study

2008 ◽  
Vol 33 (2) ◽  
pp. 309-314 ◽  
Author(s):  
Antony D. Karelis ◽  
Marie-Ève Lavoie ◽  
Virginie Messier ◽  
Diane Mignault ◽  
Dominique Garrel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Muscle Strength ◽  
Energy Expenditure ◽  
Postmenopausal Women ◽  
Lean Body Mass ◽  
Body Mass ◽  
Fasting Glucose ◽  
Physical Activity Energy Expenditure ◽  
The Metabolic Syndrome ◽  
Activity Energy

The purpose of this cross-sectional study was to examine the association between the metabolic syndrome (MetS) and physical activity energy expenditure (PAEE) in overweight and obese sedentary postmenopausal women. The study population consisted of 137 overweight and obese sedentary postmenopausal women (age, 57.7 ± 4.8 years; BMI, 32.4 ± 4.6 kg·m–2). Subjects had the MetS if 3 out of the following 5 criteria were met: visceral fat > 130 cm2, high-density lipoprotein (HDL) cholesterol < 1.29 mmol·L–1, fasting triglycerides ≥ 1.7 mmol·L–1, blood pressure ≥ 130/85 mmHg, and fasting glucose ≥5.6 mmol·L–1. We measured (i) body composition (by dual-energy X-ray absorptiometry); (ii) visceral fat (by computed tomography); (iii) insulin sensitivity (using the hyperinsulinemic-euglycemic clamp); (iv) plasma lipids, fasting glucose, and insulin, as well as 2 h glucose during an oral glucose tolerance test; (v) resting blood pressure; (vi) peak oxygen consumption (VO2 peak); (vii) PAEE (using doubly labeled water); and (viii) lower-body muscle strength (using weight-training equipment). Forty-two women (30.7%) had the MetS in our cohort. Individuals without the MetS had significantly higher levels of PAEE (962 ± 296 vs. 837 ± 271 kcal·d–1; p < 0.05), VO2 peak (18.2 ± 3.0 vs. 16.7 ± 3.2 mL·min–1·kg–1; p < 0.05), and insulin sensitivity, as well as significantly lower levels of 2 h glucose and central lean body mass. No differences in total energy expenditure, resting metabolic rate, and muscle strength between groups were observed. Logistic regression analysis showed that 2 h glucose (odds ratio (OR): 1.50 (95% CI 1.17–1.92)), central lean body mass (OR: 1.17 (95% CI 1.05–1.31)), and PAEE (OR: 0.998 (95% CI 0.997–1.000)), but not VO2 peak and (or) muscle strength, were independent predictors of the MetS. Lower levels of PAEE and higher levels of 2 h glucose, as well as central lean body mass, are independent determinants of the MetS in our cohort of overweight and obese postmenopausal women.

scholarly journals Nutrient Intake, Physical Activity Levels, and Metabolic Status in Australian University Biomedical Students

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1404-1404
Author(s):  
Linda Gallo ◽  
Karen Moritz ◽  
Lisa Akison
Keyword(s):  
Physical Activity ◽  
Medical Research ◽  
Research Council ◽  
Medical Research Council ◽  
Nutritional Intake ◽  
Biomedical Science ◽  
Activity Levels ◽  
Science Students ◽  
Physical Activity Levels ◽  
The University

Abstract Objectives This study aimed to assess nutritional intake, physical activity levels and their association to metabolic health in a cohort of university biomedical science students. Methods This study followed a cross-sectional design. Participants were recruited from a third-year endocrinology practical class from The University of Queensland (2018–2019), with complete data obtained from 324 students, aged 19–25 years (n = 196 females and 128 males of which 57% were Caucasian, 28% Asian, 7% Subcontinental Asian, 6% of mixed race or other, and 2% not disclosed). Nutritional intake was quantified using the Automated 24 h dietary assessment Tool (ASA24-Australia) and physical activity levels quantified using the Active Australia Survey. Results Mean height and body mass (±SD) was 164.36 cm (±6.85) and 60.0 kg (±10.6) in females and 178.1 cm (±7.41) and 73.4 kg (±11.5) in males. Median daily energy intake was 6760 kJ in females and 10,338 kJ in males. The following nutrients had a low percentage of female and/or male students meeting the minimum recommendations: fibre (24% of females and 30% of males), calcium (16% of females and 32% of males), folate (32% of females, 59% of males), iron (6% of females, 80% of males), and potassium (33% of females and 32% of males). In females, median daily intake was well below recommendations for calcium (621 vs 1000 mg) and iron (8.8 vs 18 mg). Sufficient level of physical activity, defined as at least 150 minutes over at least five sessions in one week, was met in 82% of females and 85% of males. Conclusions These results suggest that undergraduate biomedical science students in Australia have inadequate intakes of fibre, calcium, folate, and potassium, with a particular concern regarding the very low intake of calcium and iron among young adult females. Associations to metabolic health, including blood glucose control, insulin sensitivity, advanced glycation end products, and body composition are currently being analysed. Funding Sources The study was funded by institutional support from School of Biomedical Sciences, The University of Queensland, Australia. L.A.G. was supported by an Early Career Fellowship from the National Health and Medical Research Council and Heart Foundation (Australia), and a UQ Amplify Fellowship. K.M.M was supported by a Senior Research Fellowship from the National Health and Medical Research Council.

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
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