Resistance training conserves fat-free mass and resting energy expenditure following weight loss

Objective: To determine what effect diet‐induced ～12 kg weight loss in combination with exercise training has on body composition and resting energy expenditure (REE) in premenopausal African‐American (AA) and European‐American (EA) women. Methods and Procedures: This study was a longitudinal, randomized weight loss clinical intervention, with either aerobic (AT), resistance (RT), or no exercise training (NT). Forty‐eight AA and forty‐six EA premenopausal overweight (BMI between 27 and 30) women underwent weight loss to a BMI <25. Body composition (densitometry), REE (indirect calorimetry), maximal oxygen uptake (VO₂max), and muscular strength (isometric elbow flexion) were evaluated when subjects were in energy balance. Results: AA women lost less fat‐free mass (FFM, P ≤ 0.05) (47.0 ± 4.6 to 46.9 ± 5.0 kg) than EA women (46.4 ± 4.9 to 45.2 ± 4.6 kg). Regardless of race, RT maintained FFM (P ≤ 0.05) following weight loss (46.9 ± 5.2 to 47.2 ± 5.0 kg) whereas AT (45.4 ± 4.2 to 44.4 ± 4.1 kg) and NT (47.9 ± 4.7 to 46.4 ± 5.1 kg) decreased FFM (P ≤ 0.05). Both AT and NT decreased in REE with weight loss but RT did not. Significant time by group interactions (all P ≤ 0.05) for strength indicated that RT maintained strength and AT did not. Discussion: AA women lost less FFM than EA women during equivalent weight losses. However, following weight loss in both AA and EA, RT conserved FFM, REE, and strength fitness when compared to women who AT or did not train.     

Low resting energy expenditure in Asians can be attributed to body composition

Objective: To compare resting energy expenditure (REE) between Asians and whites after adjusting for fat‐free mass measured with a two‐ or more‐compartment model. Methods and Procedures: Participants were 10 white men (28 ± 3 years), 10 Asian men (30 ± 4 years), 10 white women (22 ± 4 years), and 11 Asian women (31 ± 7 years). REE was measured with a ventilated hood system under strictly controlled conditions. Body composition was measured with a two‐compartment model based on body mass (BM) and body volume (hydrodensitometry), a three‐compartment model adding total body water (TBW) (deuterium dilution), and a four‐compartment model incorporating bone mass (dual‐energy X‐ray absorptiometry (DXA)) as well. Lean BM in the trunk and in the extremities was assessed with DXA. All measurements were performed at Maastricht University. Measurements on Asian subjects were performed within 3 months after their arrival in the Netherlands. Results: Absolute REE was lower in Asians (5.87 ± 0.91 MJ/day) than in whites (7.00 ± 1.11 MJ/day). There was no significant difference in REE between the two races after adjustment for fat‐free mass. Discussion: There were no significant differences in REE between Asians and whites after adjustment for differences in body composition based on a two‐ or more‐compartment model.     

Physical activity and muscle function but not resting energy expenditure impact on weight gain

Understanding whether metabolic factors are predictive of weight gain is important for developing strategies for prevention of weight gain. Recent research has shown that sleeping and resting energy expenditure are not predictive of weight gain. However, exercise endurance, muscular strength, (31)P MRS muscle metabolic economy, and maximum oxygen uptake are independently related to weight gain. Activity-related energy expenditure and the time spent in physical activity are also related to weight gain, with low physical activity explaining approximately 77% of weight gain at 1 year. In addition, weight maintainers spend 80 minutes per day, whereas weight gainers spend less than 20 minutes per day in physical activity equivalent to an intensity of about 4 METS. It is proposed that strength, aerobic fitness, and physical activity are important factors for reducing the rate of weight gain. Although further research is required, these results are suggestive that weight maintenance programs will be more successful if some relatively high-intensity training is included to complement large amounts of low to moderate intense physical activity.     

Relationships of resting energy expenditure with body fat distribution and abdominal fatness in Japanese population

Body fat distribution and abdominal fatness are indicators of risks for coronary heart disease. However, the relationships between resting energy expenditure (REE) and the body fat distribution or the abdominal fatness are unclear. We examined the relationships of REE with whole-body fat distribution (waist, hip and waist-to-hip ratio: WHR) and abdominal fatness (intra-abdominal fat: IF and subcutaneous fat: SF) after adjustment for body composition. 451 men and 471 women were subdivided into two groups, 40-59 years: middle-aged group and 60-79 years: elderly group. REE was measured by an indirect calorimetry system. Percentage of fat mass (%FM), fat mass (FM) and fat-free mass (FFM) were assessed by a dual-energy x-ray absorptiometry method. The IF area (IFA) and SF area (SFA) at the level of the umbilicus were measured using computed tomography. Circumference of waist and hip were measured in a standing position. The WHR, waist circumference and SFA did not significantly (p>0.05) associate with the REE after adjusting for FM, FFM and age in any of the groups. The adjusted REE was significantly and inversely correlated with hip (r=-0.159, p<0.05) and IFA (r=-0.131, p<0.05) in the elderly men. These results suggest that lower REE may contribute to greater hip and IFA rather than WHR and waist in elderly men.     

Effects of diet macronutrient composition on body composition and fat distribution during weight maintenance and weight loss

Objective: Neurotransmitter systems participate in the regulation of food intake, and their activities are expected to influence eating behavior. Design and Methods: We investigated possible associations between body mass index (BMI) and central noradrenaline, serotonin, and dopamine activities, as reflected by the cerebrospinal fluid levels of their main metabolites methoxyhydroxyphenylglycol (MHPG), 5‐hydroxyindoleacetic acid (5‐HIAA), and homovanillic acid (HVA), respectively. We studied 192 subjects (111 males, 81 females) admitted to neurologic clinic for diagnostic investigations that included CSF analysis, and were found not to suffer from any major neurological disease. Subjects were categorized in three groups, namely in lower, in the two middle, and in upper BMI quartiles, the limits calculated separately for males and females. Results: No differences were found in MHPG levels between groups, while subjects in the upper BMI quartile showed significantly elevated levels of 5‐HIAA and HVA compared to the levels of subjects in lower and middle quartiles. Conclusions: The results provide evidence that in overweight subjects there are enhanced demands in serotoninergic and dopaminergic signaling for their reward system that may lead to increased motivation for food consumption. The implication of reward centers in eating behavior supports the hypothesis of common mechanisms in obesity and drug addiction.     

Prolactin-induced gain in body weight in relation to caloric intake and energy expenditure in spotted munia

Prolactin, which induced significant gain in body weight and in the weight of the cervical and abdominal fat deposits had no effect on daily total food intake in spotted munia. The hormone changed the feeding pattern from a modal type to almost continuous feeding, increased whole body oxygen consumption of the birds, and had no effect on total hopping index. Prolactin-induced fattening, therefore seems due to neither an increased caloric intake, nor a decreased metabolic expenditure, but probably reflects better utilization of food.     

Relationship of respiration to body weight in the tilapia Oreochromis niloticus under resting and normoxic conditions

• 1.1. The relationships of oxygen consumption (V_o2, ml/min/fish), ventilation volume (V_g, ml/min/fish), stroke volume (V_s, ml/stroke/fish), respiration frequency (RF, stroke/min) and oxygen utilization (U, %) to body weight (W, g) in the tilapia under resting and normoxic conditions were V_o2 = 0.002835W^0.754193, V_g = 0.688965W^0.722786, V_s = 0.002790W^1.017188, RF = 248.58210W^−0.296139, U = 0.000935W + 87.394288, respectively.

     

Bioimpedance for severe obesity: comparing research methods for total body water and resting energy expenditure

Objective: As the acceptance of surgical procedures for weight loss in morbid obesity is increasing, clinically useful baseline and follow‐up measures of total body water (TBW) and resting energy expenditure (REE) are important. Research methods such as deuterium (D²O) dilution and metabolic carts are problematic in the clinical setting. We compared bioimpedance analysis (BIA) predicted (Tanita TBF‐310) and measured TBW and REE. Methods and Procedures: Forty‐two paired presurgery studies were completed using BIA and D²O in patients with BMI (mean ± s.d.) 50.2 ± 8.8 kg/m² for TBW, and 30 patients with BMI 51.0 ± 13 kg/m² completed paired determinations of REE with metabolic carts and the Tanita balance with weight, height, sex, and age modifiers. Regression analysis and Bland‐Altman plots were applied. Results: When regression analysis was completed for TBW, regression line was consistent with the identity line “y = x.” The intercept was not different from 0 (95% confidence interval ?2.5 ± 7.0). The slope of the line was not different from 1.0 ± 0.1. The measured TBW 51.2 ± 10.1 l had a correlation with the predicted 49.5 ± 11.27 l of 0.92. There also was no significant difference (P = 0.33) between predicted (2,316 ± 559 kcal/day) and measured REE (2,383 ± 576 kcal/day);δ 66.7 ± 273 kcal/day. The two measures were highly correlated (r = 0.88) with no bias detected. Discussion: These observations support the use of the BIA system calibration in subjects with severe obesity. Without the use of complex, costly equipment and invasive procedures, BIA measurements can easily be obtained in clinical practice to monitor patient responses to treatment.     

Role of cytokines and testosterone in regulating lean body mass and resting energy expenditure in HIV-infected men

Although catastrophic weight loss is no longer common in HIV-infected men, we hypothesized that a more gradual process of cachexia [loss of lean body mass (LBM) without severe weight loss, often accompanied by elevated resting energy expenditure (REE)] is still common and is driven by excessive production of the catabolic cytokines tumor necrosis factor-alpha (TNF-alpha) and interleukin-1 beta (IL-1 beta). We performed a longitudinal analysis of an ongoing cohort study of nutritional status in 172 men with HIV infection. LBM loss of >1 kg occurred in 35% of the cohort, and LBM loss of >5% occurred in 12.2% over 8 mo of observation, but classical wasting (loss of approximately 10% of weight) was rare (2%). Both TNF-alpha (-150 g LBM. ng(-1) x ml(-1), P < 0.02) and IL-1 beta production (-130 g LBM x ng(-1) x ml(-1), P < 0.01) by peripheral blood mononuclear cells predicted loss of LBM. A rise in REE of >200 kcal/day was found in 17.7% of the subjects regardless of weight change. IL-1 beta (+9 kcal/day per ng/ml, P < 0.002) and TNF-alpha (+10 kcal/day per ng/ml, P < 0.02) production predicted Delta REE. Serum free testosterone was inversely associated with TNF-alpha production and was not an independent predictor of either Delta LBM or Delta REE after adjustment for cytokine production. Even though weight loss was rare in this cohort of patients treated with highly active antiretroviral therapy, loss of LBM was common and was driven by catabolic cytokines and not by inadequate dietary intake or hypogonadism.     

Relationship between surplus energy and body weight in fish populations

This paper theoretically analyses the relationship between surplus energy, which is available for either somatic growth or reproduction, and body weight. From the data of metabolism and growth of the biwamasu, Oncorhynchus rhodurus, obtained by Miura et al., a Bernoulli's differential equation is induced to represent the relationship between body weight and the sum of surplus energy and active metabolic rate. Solving this equation gives the amount of surplus energy, f(W_x), as follows:f(W_x) = (αW_x^1−γ+β^1−γ)^1/(1−γ)−W_x, in which α, β and γ are constants and W_x is body weight at age x. The function is applied to ten fish populations and consequently it is found to be useful for a wider age range and a wider variety of fishes than the conventional function.     

Relationship of respiration to body weight in the carp Cyprinus carpio under resting and normoxic condition.

Relationships of oxygen consumption (VO2, ml/min/fish), ventilation volume (Vg, ml/min/fish), stroke volume (Vs, ml/stroke/fish), respiration frequency (RF, stroke/min) and oxygen utilization (U, %) to body weight (W, g) in the carp under resting and normoxic condition was VO2 = 0.004258 W 0.780710, Vg = 1.035226 W 0.771371, Vs = 0.045311 W 0.833989, RF = -0.002949 W + 17.847743, U = 0.0015423 W + 75.666757, respectively.     

Effects of 12 weeks of aerobic exercise plus dietary restriction on body composition, resting energy expenditure and aerobic fitness in mildly obese middle-aged women

This study investigated the effects of 12 weeks of aerobic exercise plus voluntary food restriction on the body composition, resting metabolic rate (RMR) and aerobic fitness of mildly obese middle-aged women. The subjects were randomly assigned to exercise/diet (n = 17) or control (n = 15) groups. The exercise/diet group participated in an aerobic training programme, 45–60 min · day ^–1 at 50%–60% of maximal oxygen uptake (VO_2max), 3–4 days · week^–1, and also adopted a self-regulated energy deficit relative to predicted energy requirements (–1.05 MJ · day ^–1 to –1.14 MJ · day ^–1 ). After the regimen had been followed for 12 weeks, the body mass of the subjects had decreased by an average of 4.5 kg, due mainly to fat loss, with little change of fat free mass (m _ff). The absolute RMR did not change, but the experimental group showed significant increases in the RMR per unit of body mass (10%) and the RMR per unit of m _ff (4%). The increase in RMR/m _ff was not correlated with any increase in VO_2max/m _ff. The resting heat production per unit of essential body mass increased by an average of 21%, but the resting heat production rate per unit of fat tissue mass remained unchanged. We concluded that aerobic exercise enhances the effect of moderate dietary restriction by augmenting the metabolic activity of lean tissue.     

New specific equation to estimate resting energy expenditure in severely obese patients

Calculating the estimated resting energy expenditure (REE) in severely obese patients is useful, but there is controversy concerning the effectiveness of available prediction equations (PE) using body weight (BW). We evaluated the efficacy of REE equations against indirect calorimetry (IC) in severely obese subjects and aimed to develop a new equation based on body composition compartments. One hundred and twenty severely obese patients had their REE measured (MREE) by IC and compared to the most commonly used PE (Harris-Benedict (HB), Ireton-Jones, Owen, and Mifflin St. Jeor). In a random sample (n = 60), a new REE equation based on fat-free mass (FFM) was developed and validated. All PE studied failed to estimate REE in severe obesity (low concordance correlation coefficient (CCC) and limits of agreement of nearly 50% of the sample ±10% of MREE). The HB equation using actual BW exhibited good results for all samples when compared to IC (2,117 ± 518 kcal/day by HB vs. 2,139 ± 423 kcal/day by MREE, P > 0.01); these results were blunted when patients were separated by gender (2,771 vs. 2,586 kcal/day, P < 0.001 in males and 1,825 vs. 1,939 kcal/day, P < 0.001 in females). A new resting energy expenditure equation prediction was developed using FFM, Horie-Waitzberg, & Gonzalez, expressed as 560.43 + (5.39 × BW) + (14.14 × FFM). The new resting energy expenditure equation prediction, which uses FFM and BW, demonstrates higher accuracy, precision, CCC, and limits of agreement than the standard PE in patients when compared to MREE (2,129 ± 45 kcal/day vs. 2,139 ± 423 kcal/day, respectively, P = 0.1).The new equation developed to estimate REE, which takes into account both FFM and BW, provides better results than currently available equations.     

Gender differences in insulin resistance,body composition,and energy balance

Background: Men and women differ substantially in regard to degrees of insulin resistance, body composition, and energy balance. Adipose tissue distribution, in particular the presence of elevated visceral and hepatic adiposity, plays a central role in the development of insulin resistance and obesity-related complications.Objective: This review summarizes published data on gender differences in insulin resistance, body composition, and energy balance, to provide insight into novel gender-specific avenues of research as well as gender-tailored treatments of insulin resistance, visceral adiposity, and obesity.Methods: English-language articles were identified from searches of the PubMed database through November 2008, and by reviewing the references cited in these reports. Searches included combinations of the following terms: gender, sex, insulin resistance, body composition, energy balance, and hepatic adipose tissue.Results: For a given body mass index, men were reported to have more lean mass, women to have higher adiposity. Men were also found to have more visceral and hepatic adipose tissue, whereas women had more peripheral or subcutaneous adipose tissue. These differences, as well as differences in sex hormones and adipokines, may contribute to a more insulin-sensitive environment in women than in men. When normalized to kilograms of lean body mass, men and women had similar resting energy expenditure, but physical energy expenditure was more closely related to percent body fat in men than in women.Conclusion: Greater amounts of visceral and hepatic adipose tissue, in conjunction with the lack of a possible protective effect of estrogen, may be related to higher insulin resistance in men compared with women.