scholarly journals Long-term effects of dietary glycemic index on adiposity, energy metabolism, and physical activity in mice

2008 ◽  
Vol 295 (5) ◽  
pp. E1126-E1131 ◽  
Author(s):  
Kelly B. Scribner ◽  
Dorota B. Pawlak ◽  
Cristin M. Aubin ◽  
Joseph A. Majzoub ◽  
David S. Ludwig
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Body Composition ◽  
Energy Expenditure ◽  
Glycemic Index ◽  
Respiratory Quotient ◽  
Activity Level ◽  
Metabolic Effects ◽  
Oral Glucose

A high-glycemic index (GI) diet has been shown to increase adiposity in rodents; however, the long-term metabolic effects of a low- and high-GI diet have not been examined. In this study, a total of 48 male 129SvPas mice were fed diets high in either rapidly absorbed carbohydrate (RAC; high GI) or slowly absorbed carbohydrate (SAC; low GI) for up to 40 wk. Diets were controlled for macronutrient and micronutrient content, differing only in starch type. Body composition and insulin sensitivity were measured longitudinally by DEXA scan and oral glucose tolerance test, respectively. Food intake, respiratory quotient, physical activity, and energy expenditure were assessed using metabolic cages. Despite having similar mean body weights, mice fed the RAC diet had 40% greater body fat by the end of the study and a mean 2.2-fold greater insulin resistance compared with mice fed the SAC diet. Respiratory quotient was higher in the RAC group, indicating comparatively less fat oxidation. Although no differences in energy expenditure were observed throughout the study, total physical activity was 45% higher for the SAC-fed mice after 38 wk of feeding. We conclude that, in this animal model, 1) the effect of GI on body composition is mediated by changes in substrate oxidation, not energy intake; 2) a high-GI diet causes insulin resistance; and 3) dietary composition can affect physical activity level.

Serum Myostatin Levels Are Higher in Fitter, More Active, and Non-Frail Long-Term Nursing Home Residents and Increase after a Physical Exercise Intervention

Gerontology ◽  
2018 ◽  
Vol 65 (3) ◽  
pp. 229-239 ◽  
Author(s):  
Haritz Arrieta ◽  
Gotzone Hervás ◽  
Chloe Rezola-Pardo ◽  
Fátima Ruiz-Litago ◽  
Miren Iturburu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Nursing Home ◽  
Physical Fitness ◽  
Physical Activity Level ◽  
Exercise Intervention ◽  
Nursing Home Residents ◽  
Exercise Program ◽  
Activity Level

Background: Myostatin has been proposed as a candidate biomarker for frailty and sarcopenia. However, the relationship of myostatin with these conditions remains inconclusive. Objective: To determine the association of serum myostatin concentration with body composition, physical fitness, physical activity level, and frailty in long-term nursing home residents. We also aimed to ascertain the effect of an exercise program on myostatin levels. Methods: We obtained study data on 112 participants from long-term nursing homes. Participants were randomly assigned to a control or an intervention group and performed a 6-month multicomponent exercise program. Serum myostatin levels were analyzed by ELISA. Assessments also included body composition (anthropometry and bioelectrical impedance), physical fitness (Senior Fitness Test), physical activity level (accelerometry), and frailty (Fried frailty criteria, Clinical Frailty Scale, and Tilburg frailty indicator). Results: The concentration of myostatin at baseline was positively correlated with: a leaner body composition (p < 0.05), and a higher number of steps per day and light and moderate-vigorous physical activity in women (p < 0.005); greater upper and lower limb strength, endurance, and poorer flexibility (p < 0.05) in men; and better performance (less time) in the 8-ft timed up-and-go test in both women (p < 0.01) and men (p < 0.005). We observed higher concentrations of serum myostatin in non-frail than in frail participants (p < 0.05). Additionally, we found that the implemented physical exercise intervention, which was effective to improve physical fitness, increased myostatin concentration in men (p < 0.05) but not in women. The improvements in physical condition were related with increases in serum myostatin only in men (p < 0.05–0.01). Conclusions: Higher serum levels of myostatin were found to be associated with better physical fitness. The improvements in physical fitness after the intervention were positively related to increases in myostatin concentrations in men. These results seem to rule out the idea that high serum myostatin levels are indicative of frailty in long-term nursing home residents. However, although the direction of association was opposite to that expected for the function of myostatin, the use of this protein as a biomarker for physical fitness, rather than frailty, merits further study.

scholarly journals Maternal adiposity and energy balance after normotensive and preeclamptic pregnancies

2021 ◽  
Author(s):  
Sarah L McLennan ◽  
Amanda Henry ◽  
Lynne M Roberts ◽  
Sai S Siritharan ◽  
Melissa Ojurovic ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Postpartum Period ◽  
Food Diary ◽  
Lifestyle Behaviour ◽  
Cross Sectional

Abstract Background Preeclampsia is a major pregnancy complication associated with long-term maternal cardiometabolic disease. Research generally is focused on metabolic and pathophysiological changes during pregnancy, however, there is much less focus on the early postpartum period in subjects who suffered preeclampsia. The aim of this study was to (a) characterise energy intake and expenditure six months following normotensive and preeclamptic pregnancies, and (b) examine associations between energy balance, body composition, insulin resistance measures (HOMA-IR), and clinical characteristics. Design A cross-sectional study six months following normotensive (n=75) and preeclamptic (n=22) pregnancies was performed. Metabolic measurements included: anthropometrics measures, body composition via bioelectrical impedance analysis, 24-hour energy expenditure via SenseWear Armbands, energy intake via a three-day food diary, and serum metabolic parameters. Results Six months following preeclampsia, women had a significantly higher weight (77.3±20.9kg versus 64.5±11.4kg, p=0.01), fat mass percentage (FM%) (40.7±7.4% versus 34.9±8.1%, p=0.004), and insulin resistance (HOMA-IR 2.2±1.5 versus 1.0±0.7, p=0.003), as well as reduced HDL levels (1.5±0.4 mmol/L versus 1.8±0.4 mmol/L, p=0.01) compared to normotensive women. Women post-preeclampsia had lower activity-related energy expenditure (p=0.02) but a decreased total energy intake (p=0.02), leading to a more negative energy balance compared to their normotensive counterparts (-1,942 kJ/24-hours versus -480 kJ/24-hours; p=0.02). Conclusion Increases in insulin resistance and FM%, reduced HDL, and more sedentary lifestyles characterise the postpartum period following preeclamptic compared with normotensive pregnancies. Early post-preeclampsia interventions, such as lifestyle behaviour change, should be implemented and assessed to determine whether they reduce long-term cardiometabolic risk in women who experienced preeclampsia during pregnancy.

scholarly journals Non-esterified fatty acid levels and physical inactivity: the relative importance of low habitual energy expenditure and cardio-respiratory fitness

2002 ◽  
Vol 88 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Paul W. Franks ◽  
Man-Yu Wong ◽  
Jian'an Luan ◽  
Jo Mitchell ◽  
Susie Hennings ◽  
...  
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Glucose Tolerance ◽  
Oral Glucose Tolerance Test ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Activity Level ◽  
Oral Glucose ◽  
Oral Glucose Tolerance ◽  
Cardio Respiratory Fitness

The fasting concentration of non-esterified fatty acids (NEFA) and the degree to which it declines during an oral glucose tolerance test are closely associated with insulin resistance and glucose intolerance. However, relatively few studies have described possible environmental determinants of NEFA concentrations. Physical activity is likely to be related to NEFA levels, but habitual activity level is difficult to quantify in epidemiological studies. In particular, it is unclear whether NEFA is more closely related to cardio-respiratory fitness or to habitual energy expenditure. In order to quantify these relationships, we analysed data from the Ely prospective population-based study in which 931 subjects underwent a glucose tolerance test with measurements of cardio-respiratory fitness and 4 d energy expenditure by heart-rate monitoring, a technique previously validated against whole-body calorimetry and doubly-labelled water. In order to estimate the latent variables of usual fitness and energy expenditure, a subset of 190 subjects underwent repeat testing on three further occasions over 1 year. In analyses adjusting only for age and sex, energy expenditure and cardio-respiratory fitness were both negatively correlated with the total area under the NEFA curve following the oral glucose load (standardised β coefficients -0·030 and -0·039 respectively; both P<0·001) However, further adjustment for degree of obesity and bivariate measurement error suggested that the effect of energy expenditure was significantly greater than that for fitness (-0·047 and -0·005 respectively). These results suggest that the area under the NEFA curve in the oral glucose tolerance test, a measure of insulin sensitivity, is strongly associated with the habitual level of physical activity.

scholarly journals Influence of habitual physical activity on gastric emptying in healthy males and relationships with body composition and energy expenditure

2015 ◽  
Vol 114 (3) ◽  
pp. 489-496 ◽  
Author(s):  
Katy M. Horner ◽  
Nuala M. Byrne ◽  
Geoffrey J. Cleghorn ◽  
Neil A. King
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Gastric Emptying ◽  
Energy Expenditure ◽  
Fat Mass ◽  
Physical Activity Level ◽  
Activity Level ◽  
Habitual Physical Activity ◽  
Fat Free Mass ◽  
Lower Percentage

Although a number of studies have examined the role of gastric emptying (GE) in obesity, the influences of habitual physical activity level, body composition and energy expenditure (EE) on GE have received very little consideration. In the present study, we compared GE in active and inactive males, and characterised relationships with body composition (fat mass and fat-free mass) and EE. A total of forty-four males (activen22, inactiven22; BMI 21–36 kg/m2; percentage of fat mass 9–42 %) were studied, with GE of a standardised (1676 kJ) pancake meal being assessed by the [13C]octanoic acid breath test, body composition by air displacement plethysmography, RMR by indirect calorimetry, and activity EE (AEE) by accelerometry. The results showed that GE was faster in active compared with inactive males (mean half-time (t1/2): active 157 (sd18) and inactive 179 (sd21) min,P< 0·001). When data from both groups were pooled, GEt1/2was associated with percentage of fat mass (r0·39,P< 0·01) and AEE (r− 0·46,P< 0·01). After controlling for habitual physical activity status, the association between AEE and GE remained, but not that for percentage of fat mass and GE. BMI and RMR were not associated with GE. In summary, faster GE is considered to be a marker of a habitually active lifestyle in males, and is associated with a higher AEE level and a lower percentage of fat mass. The possibility that GE contributes to a gross physiological regulation (or dysregulation) of food intake with physical activity level deserves further investigation.

scholarly journals Physical Activity Level Using Doubly-Labeled Water in Relation to Body Composition and Physical Fitness in Preschoolers

Medicina ◽  
2018 ◽  
Vol 55 (1) ◽  
pp. 2 ◽  
Author(s):  
Marja Leppänen ◽  
Pontus Henriksson ◽  
Hanna Henriksson ◽  
Christine Delisle Nyström ◽  
Francisco Llorente-Cantarero ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Physical Fitness ◽  
Basal Metabolic Rate ◽  
Muscular Strength ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Fat Free Mass ◽  
Doubly Labeled Water

Background and objectives: There is a lack of studies investigating associations of physical activity level (PAL) and activity energy expenditure (AEE) using the doubly-labeled water (DLW) method with body composition and physical fitness in young children. Thus, we aimed to examine cross-sectional associations of PAL and AEE with body composition indices and physical fitness components in Swedish preschool children. Materials and methods: PAL was calculated as total energy expenditure measured using DLW divided by the predicted basal metabolic rate in 40 children aged 5.5 (standard deviation 0.2) years. AEE was calculated as total energy expenditure minus basal metabolic rate and the thermic effect of food, and divided by fat-free mass. Body composition was assessed using the 3-component model by combining measurements based on isotope dilution and air-displacement plethysmography. Physical fitness (muscular strength, motor fitness, and cardiorespiratory fitness) was evaluated using the PREFIT test battery. Multiple linear regression models were conducted. Results: PAL and AEE were negatively associated with body mass index, percent body fat, and fat mass index (PAL: standardized β −0.35, −0.41, and −0.45, all p < 0.036; AEE: standardized β −0.44, −0.44, and −0.47, all p < 0.006, respectively). Furthermore, PAL and AEE were positively associated with the standing long jump test (PAL: standardized β 0.37, p = 0.017; AEE: standardized β 0.38, p = 0.014). There were no statistically significant associations found regarding PAL or AEE with fat-free mass index or any other physical fitness test. Conclusions: Greater PAL and AEE at the age 5.5 were significantly associated with body fatness and improved lower-body muscular strength. Therefore, increasing physical activity, and thus energy expenditure, at young ages may be beneficial for preventing overweight/obesity. However, further studies with larger sample sizes are needed to confirm the results.

scholarly journals Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations

2019 ◽  
Vol 110 (2) ◽  
pp. 367-376 ◽  
Author(s):  
Sarah A Purcell ◽  
Sarah A Elliott ◽  
Peter J Walter ◽  
Tom Preston ◽  
Hongyi Cai ◽  
...  
Keyword(s):  
Physical Activity ◽  
Colorectal Cancer ◽  
Body Composition ◽  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Residual Activity ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Fat Free Mass

ABSTRACT Background Total energy expenditure (TEE) data in patients with early-stage cancer are scarce, precluding an understanding of energy requirements. Objective The objective was to cross-sectionally characterize TEE in patients with colorectal cancer (CRC) and to compare measured TEE with energy recommendations. It was hypothesized that TEE would differ according to body mass, body composition, and physical activity level (PAL) and current energy recommendations would have poor individual-level accuracy. Methods Patients with newly diagnosed CRC had resting energy expenditure (REE) measured by indirect calorimetry and TEE by doubly labeled water. Hypermetabolism was defined as REE &gt; 110% of that predicted from the Mifflin St.-Jeor equation. Body composition was assessed via DXA. Physical activity was determined as the ratio of TEE to REE (TEE:REE) (PAL) and residual activity energy expenditure (RAEE). TEE was compared with energy recommendations of 25–30 kcal/d and Dietary Reference Intakes (DRIs) using Bland–Altman analyses. Patients were stratified according to median BMI, PAL, and sex-specific ratio of fat mass (FM) to fat-free mass (FFM). Results Twenty-one patients (M:F 14:7; mean ± SD BMI: 28.3 ± 4.9 kg/m2, age: 57 ± 12 y) were included. Most (n = 20) had stage II–III disease; 1 had stage IV. Approximately half (n = 11) were hypermetabolic; TEE was not different in those with hypermetabolism and REE as a percentage of predicted was not correlated with TEE. Mean ± SD TEE was 2473 ± 499 kcal/d (range: 1562–3622 kcal/d), or 29.7 ± 6.3 kcal/kg body weight (range: 20.4–48.5 kcal/kg body weight). Mean ± SD PAL was 1.43 ± 0.27. The energy recommendation of 25 kcal/kg underestimated TEE (−12.6% ± 16.5%, P = 0.002); all energy recommendations had wide limits of agreement (the smallest was DRI with measured PAL: −21.2% to 29.3%). Patients with higher BMI and FM:FFM had higher bias using kilocalories per kilogram recommendations; bias from several recommendations was frequently lower (i.e. underestimation) in patients with higher PAL and RAEE. Conclusions TEE variability was not reflected in energy recommendations and error was related to body weight, body composition, and physical activity. This trial was registered at clinicaltrials.gov as NCT03131921.

scholarly journals The product of trunk muscle area and density on the CT image is a good indicator of energy expenditure in patients with or at risk for COPD

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Toru Shirahata ◽  
Hideaki Sato ◽  
Sanehiro Yogi ◽  
Kaiji Inoue ◽  
Mamoru Niitsu ◽  
...  
Keyword(s):  
At Risk ◽  
Body Composition ◽  
Energy Expenditure ◽  
Trunk Muscle ◽  
Rectus Abdominis ◽  
Activity Level ◽  
Erector Spinae ◽  
Trunk Muscles ◽  
Muscle Area ◽  
The Relationship

Abstract Background Physical inactivity due to cachexia and muscle wasting is well recognized as a sign of poor prognosis in chronic obstructive pulmonary disease (COPD). However, there have been no reports on the relationship between trunk muscle measurements and energy expenditure parameters, such as the total energy expenditure (TEE) and physical activity level (PAL), in COPD. In this study, we investigated the associations of computed tomography (CT)-derived muscle area and density measurements with clinical parameters, including TEE and PAL, in patients with or at risk for COPD, and examined whether these muscle measurements serve as an indicator of TEE and PAL. Methods The study population consisted of 36 male patients with (n = 28, stage 1–4) and at risk for (n = 8) COPD aged over 50 years. TEE was measured by the doubly labeled water method, and PAL was calculated as the TEE/basal metabolic rate estimated by the indirect method. The cross-sectional areas and densities of the pectoralis muscles, rectus abdominis muscles, and erector spinae muscles were measured. We evaluated the relationship between these muscle measurements and clinical outcomes, including body composition, lung function, muscle strength, TEE, and PAL. Results All the muscle areas were significantly associated with TEE, severity of emphysema, and body composition indices such as body mass index, fat-free mass, and trunk muscle mass. All trunk muscle densities were correlated with PAL. The product of the rectus abdominis muscle area and density showed the highest association with TEE (r = 0.732) and PAL (r = 0.578). Several trunk muscle measurements showed significant correlations with maximal inspiratory and expiratory pressures, indicating their roles in respiration. Conclusions CT-derived measurements for trunk muscles are helpful in evaluating physical status and function in patients with or at risk for COPD. Particularly, trunk muscle evaluation may be a useful marker reflecting TEE and PAL.

scholarly journals PHYSICAL ACTIVITY LEVEL AND ENERGY EXPENDITURE ASSESSED BY ACCELEROMETRY IN 60Y+ BRAZILIAN SUBJECTS

2019 ◽  
Vol 25 (2) ◽  
pp. 116-120
Author(s):  
Luiz Antonio dos Anjos ◽  
Bruna de Andrade Messias da Silva ◽  
Vivian Wahrlich
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Physical Activity Level ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Convenience Sample ◽  
Physical Activity Recommendations ◽  
Physical Activity Programs ◽  
Sedentary Activities ◽  
Activity Recommendations

ABSTRACT Objective: To assess the physical activity level (PAL) and the total daily energy expenditure (EE-TDEE) in a sample of ≥60y subjects from Niterói, Rio de Janeiro, Brazil. Methods: A convenience sample of 88 subjects recruited from recreational physical activity programs wore an accelerometer around the waist for seven consecutive days for at least 10h/day. Minute-by-minute EE was estimated from the counts per minute (CPM) data, and the daily sum yielded the TDEE. PAL (TDEE/BMR) with BMR calculated with the FAO/WHO predictive equation and a population-specific equation. Body composition was assessed by DXA. Results: Mean age (SD) was 69.2 (5.8) years, the prevalence of overweight and obesity was 36.4 and 25.0%, respectively, and excess body fat was 39.8%. The subjects spent 600min/day engaged in sedentary activities (CPM<100). Men engaged in 30min of moderate-to-vigorous physical activity (CPM≥1,952) daily, on average. The subjects were active on 34.5 and 18.0% of the weekdays and weekend days with a 1,400 steps/day difference between these days. TDEE was 1,731.5 (348.7) and 1,356.3 (223.7) kcal/day depending on the BMR prediction equation used. Mean PAL was lower than the maintenance level. Conclusions: The high prevalence of sedentary activities and the low percentage of subjects who met the physical activity recommendations indicate that physical activity programs must be adjusted so that the enrolled subjects can meet the physical activity recommendations, preferably with the activities objectively monitored. Population-specific equations improve the final estimation of TDEE and PAL. Level of Evidence I; Diagnostic studies - Investigating a diagnostic test.

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