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PubMed1989

The constancy of basal metabolic rate in free-living male subjects.

The object of this work was to investigate the constancy of basal metabolic rate (BMR) over time. The BMR was measured in a group of healthy free-living adult men on three separate occasions over some 2 years. Analysis of variance showed that the coefficient of variation within subjects was 4 per cent and between subjects 8 per cent. The results are compared with those of earlier workers, from Zuntz onwards, who made serial measurements of BMR on the same subjects.

Adult↗
PubMed2003

Bone mineral density correlates strongly with basal metabolic rate in postmenopausal women.

BACKGROUND: This study investigated the relationships of bone mineral density (BMD) with body composition, basal metabolic rate (BMR), and fat distribution. METHODS: We measured body mass index (BMI), anthropometrics, and BMD in 345 postmenopausal women and 224 elderly men. Total body fat (TBF), fat distribution, and BMR were assessed using a body composition analyzer. Lumbar spine and proximal femur BMDs were measured with dual-energy X-ray absorptiometry. RESULTS: Lumbar spine BMD was more strongly correlated with BMR (r=0.51, p<0.01) than with lean body mass (r=0.39, p<0.01) and waist hip ratio (r=-0.28, p<0.01) in postmenopausal women. The mean values of BMR in osteoporotic women were significantly lower than those for non-osteoporotic women (p<0.01). The prevalences of osteoporosis at the sites of lumbar spine and proximal femur were 32.1% and 23.3% in the women with BMR<1230 kcal, which were significantly higher than those of osteoporosis (5.4% and 7.7%) at the corresponding sites in the women with BMR> or =1230 kcal (p<0.01). In elderly men, the incidence of osteoporosis at the proximal femur was 29.5% in the subjects with BMR<1390 kcal, significantly higher than that (2.2%) in the subjects with BMR> or =1390 kcal (p<0.01). CONCLUSION: BMR is more closely associated with bone density in elderly persons, at least as compared to TBF, BMI, or lean body mass.

Aged↗
PubMed2006

Basal metabolic rate of Brazilians living in the Southwestern United States.

Estimation of energy requirements relies on adequate values of basal metabolic rate (BMR). Prediction equations recommended for international use have been shown to overestimate BMR in populations living in the tropics. We have previously shown the inadequacy of these equations in samples of Brazilians living in tropical and temperate regions of the country. We sought to investigate whether BMR could adequately be estimated by prediction equations in a sample of Brazilians living in a different setting: the Sonoran desert of the Southwestern USA. BMR was measured under standard conditions in 33 subjects (14 men). Mean bias (estimated-measured) varied from 404.4 to 708.6 kJ day(-1) in women and 566.8 to 1122.8 kJ day(-1) in men, representing 8.5-15 and 8.9-17.6% overestimation, respectively, using the Schofield equations. Bland and Altman analyses showed large, relevant limits of agreement. The results using the recommended equations for the American population (IOM, 2005) were only 2% different from the Schofield equations. The Harris and Benedict equations yielded higher overestimations (15.0 and 16.8% for women and men, respectively) and the Henry and Rees equations also overestimated BMR (8.5 and 8.9%) even though they were developed for populations from the tropics, although to a lesser degree. It is concluded that the equations currently recommended for international use are not appropriate for Brazilians living in the Southwestern USA.

Adult↗
PubMed2005

Phase angle is a predictor of basal metabolic rate in female patients with anorexia nervosa.

The aim of the study was to evaluate the relationship between basal metabolic rate (BMR) and bioelectrical impedance analysis (BIA) in undernourished female patients with anorexia nervosa. Participants were 86 female patients with anorexia nervosa (age 20.8+/-4.7 years; weight 39.3+/-5.2 kg; body mass index 15.4+/-1.6 kg m-2). BMR was measured by indirect calorimetry and single-frequency BIA was determined at 50 kHz on the whole body. The BIA variables considered were resistance, reactance, phase angle and the bioimpedance index (height2/resistance). Fat-free mass was calculated from subcutaneous skin fold thickness. In the study group BMR was 3782+/-661 kJ d-1 while bioimpedance index varied between 27.6 and 49.9 cm2 Omega-1 and phase angle between 2.54 degrees and 6.49 degrees. BMR was significantly correlated with weight, height, body mass index and fat-free mass, and, among BIA variables, with reactance and phase angle. Multiple regression analysis indicated that phase angle was a predictor of BMR not only when solely BIA variables were considered, but also in combination with either weight and age or fat-free mass. In conclusion, phase angle emerged as a strong predictor of BMR in female patients with anorexia nervosa. Nevertheless, further studies are necessary to confirm this finding in other forms of protein energy malnutrition and justify the inclusion of BIA variables in the equations used to predict BMR in the clinical setting.

Adult↗
PubMed1994

Relationship between basal metabolic rate, thermogenic response to caffeine, and body weight loss following combined low calorie and exercise treatment in obese women.

To clarify whether there were any differences in basal metabolic rate (BMR) and thermogenic response to caffeine in individual obese women, and if so, whether such differences affected weight loss, the basal and resting metabolic rates at 30 min after a caffeine loading test (4 mg/kg ideal body weight, per os) were measured in 136 obese women and ten lean age-matched controls. The obese subjects were then asked to follow a combined low calorie diet and exercise regimen. There were no differences in the BMR and thermogenic responses to caffeine between the obese and lean groups. However, the BMR and the thermogenic responses to caffeine varied widely in obese subjects. After two months of treatment, body weight and percentage body fat in obese women were significantly (P < 0.001) reduced. There were significant correlations between the BMR and body weight loss (r = 0.3621, P < 0.001), between BMR/lean body mass and body weight loss (r = 0.3196, P < 0.001) and between the thermogenic response to caffeine and body weight loss (r = 0.6943, P < 0.001). When the criterion of a BMR less than 3.10 kJ/min (less than two standard deviations below the mean of the age-matched lean control) was used to define an obese group with reduced BMR, there were 30 obese subjects in this group, and their body weight was significantly decreased by treatment.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗
PubMed1988

Lower metabolic rates of post-obese versus lean women: thermogenesis, basal metabolic rate and genetics.

Components of daily metabolic rate (thermogenesis, BMR and net exercise) were compared between 16 women predisposed to obesity (post-obese) and 16 naturally lean controls of matching age, weight and height, at three levels of activity, in a whole-body respirometer. At all levels of activity, the mean metabolic rate of the post-obese was 15 per cent lower than that of the lean controls. Expenditure on net exercise showed the same relationship, but BMR was only 10 per cent lower, while thermogenesis was 50 per cent lower. The latter was partly due to the smaller food intake of the post-obese and also to a lower thermogenic response. In absolute terms BMR accounted for less than half of the difference in total energy expenditure between the post-obese and the lean (45 per cent). Thermogenesis accounted for approximately 40 per cent of the difference, and 15 per cent after adjusting for the different energy intakes. Significantly more post-obese subjects had a family history of obesity (88 per cent) than lean subjects (38 per cent). Within the post-obese and lean groups there was a consistent trend at each level of activity for those with a family history to have lower metabolic rates, indicating that family history of obesity has an influence on energy expenditure over and above personal history of obesity.

Adult↗
PubMed1994

What determines the basal metabolic rate of vertebrate cells in vivo?

Do vertebrate cells dictate basal metabolic rate or does the organism have some influence over this decision? In this paper we advance the idea that the rate of delivery of essential nutrients to cells could be a key regulatory mechanism, a concept which originates for Coulson (Comp. Biochem, Physiol., 84A, 1986, 217-229) that we have extended to the delivery of substrates to enzymes at the intracellular level.

Animal Nutritional Physiological Phenomena↗
PubMedDate not supplied

Does basal metabolic rate contain a useful signal? Mammalian BMR allometry and correlations with a selection of physiological, ecological, and life-history variables.

Basal metabolic rate (BMR, mL O2 h(-1)) is a useful measurement only if standard conditions are realised. We present an analysis of the relationship between mammalian body mass (M, g) and BMR that accounts for variation associated with body temperature, digestive state, and phylogeny. In contrast to the established paradigm that BMR proportional to M3/4, data from 619 species, representing 19 mammalian orders and encompassing five orders of magnitude variation in M, show that BMR proportional to M2/3. If variation associated with body temperature and digestive state are removed, the BMRs of eutherians, marsupials, and birds do not differ, and no significant allometric exponent heterogeneity remains between orders. The usefulness of BMR as a general measurement is supported by the observation that after the removal of body mass effects, the residuals of BMR are significantly correlated with the residuals for a variety of physiological and ecological variables, including maximum metabolic rate, field metabolic rate, resting heart rate, life span, litter size, and population density.

Animals↗
PubMed1985

Basal metabolism of obese adolescents: age, gender and body composition effects.

Body composition (percent fat and lean body mass) and basal metabolic rates were determined in 67 obese adolescents ranging in age from 10 to 16 years (30 male, 37 female). Basal oxygen uptake was determined on rising in the morning using open-circuit spirometry with a 10-min collection period. Body composition was determined from body density measurements using the underwater weighing procedure. There were no male-female differences (except for basal VCO2 production, P less than 0.05) for any body composition or metabolic variable. The subjects' (male and female) average weight was 73 kg, height--157 cm, percent fat--40 percent, fat weight--30 kg, lean body mass--92 kg, and kcal/24 h--1535. Correlations between age, body composition and basal energy expenditure were all moderate to low (r less than or equal to 0.78). In contrast to adult data, lean body mass was not highly correlated to basal energy expenditure suggesting that perhaps there is a 'metabolic condition' of the obese adolescent modulated by excess fatness or the instability of the body cell mass. Stepwise multiple linear regression revealed that for the obese male adolescent, body surface area and percent fat, and for the obese female adolescent body surface area and body weight resulted in the best prediction of basal kcal/24 h. The standard errors of prediction were +/- 17.9 percent for the males, and +/- 14.4 percent for the females.

Adolescent↗
PubMed1997

A single bout of concentric resistance exercise increases basal metabolic rate 48 hours after exercise in healthy 59-77-year-old men.

BACKGROUND: It has been shown that basal metabolic rate (BMR) decreases with age. The extent to which some of the decrease can be reversed by exercise in older men and women is unclear. Resistance exercise has been shown to significantly increase muscle mass in older individuals, and because muscle is a highly active metabolic tissue there is potential to increase BMR as a secondary outcome to the training adaptation. METHODS: Twelve healthy men aged 59-77 years performed single-leg knee extension exercise (right and left leg) and bench press lifts (16 sets, 10 reps/set with timed recovery between sets) at 75% of the individual's 3RM. Subjects only performed the concentric phase of the lift. BMR was measured on two separate occasions, once after a nonexercise control period and again 48 hrs after a bout of resistance exercise. RESULTS: BMR was significantly increased (p < .006) 48 hrs after exercise (EX) compared to control (CON) (284.0 +/- 34.0 vs 274.9 +/- 34.0 kJ/hr, respectively). Calculated over a 24-hour period, the energy expenditure corresponded to 1570 +/- 193 and 1627 +/- 193 kcal/24 hr (p < .0002) for the CON and EX measures, respectively. VO2 (L/min) was higher (p < .0002) 48 hrs after the EX bout compared to 48 hrs post-CON (0.232 +/- 0.03 vs 0.225 +/- 0.03 L/min, respectively). CONCLUSION: We conclude that in healthy 59-77-year-old men, an acute bout of resistance exercise causes a sustained increase in BMR that persists for up to 48 hours after exercise.

Aged↗
PubMed2000

Plasma leptin concentrations, basal metabolic rates and respiratory quotients in young and older adults.

OBJECTIVE: To-examine the interrelationship of circulating leptin concentrations, basal metabolic rates (BMR) and respiratory quotients (RQ) in young and older adults. DESIGN: Cross sectional study. SUBJECTS: Seventy-six Australian men and women, 48 young (< 35 y) and 28 older ( > or = 50 y). MEASUREMENTS: Fasting plasma leptin concentrations by RIA, BMR and RQ by indirect calorimetry, percentage body fat (BF%), fat mass (FM) and fat-free mass (FFM) from total body water (TBW) based on deuterium dilution, waist and hip circumferences from anthropometry. RESULTS: Older subjects had significantly higher BF%, FM and waist-to-hip ratio (WHR), but significantly lower FFM and absolute BMR as compared to younger subjects. Absolute leptin concentrations were 60% higher in older subjects but did not achieve statistical significance. There was, however, a significant gender x age group interaction in leptin concentrations. This was reflected in a significant inverse relationship between age group and leptin in women when data was controlled for waist circumference (r = -0.38, P = 0.028), or FM (r = -0.36, P = 0.042). A similar relationship was not observed in men on controlling for BF% or FM. Log transformed plasma leptin was best explained by a model that included BF%, gender, age-group, gender x age-group and WHR r = 0.75, adjusted r2 = 0.56, standard error of estimate (SEE) = 0.73 ng/ml). BMR was best explained by FFM, FM and age group r = 0.94, adjusted r2 = 0.87; SEE = 429 kJ/day). On controlling for BF%, WHR and FFM, leptin was negatively related to RQ only in older men (r = -0.67, P = 0.033). There was no relationship of leptin to BMR in the groups studied. CONCLUSION: The study demonstrates an age-related modification of the gender bias in leptin, and a gender-specific inverse relationship between leptin and RQ in older people. The decline in leptin and the lack of a relationship between RQ and leptin in older women may indicate an increased risk of weight gain relative to older men.

Adipose Tissue↗
PubMed1994

A re-examination of basal metabolic rate predictive equations: the importance of geographic origin of subjects in sample selection.

OBJECTIVE: The study of geographic differences in basal metabolic rate (BMR). DESIGN: A retrospective analysis of two large BMR databases, namely those of Schofield et al. (1985; Hum. Nutr.: Clin. Nutr. 39C, Suppl. 1, 5-41) and Henry and Rees (1988; Comparative nutrition, pp. 149-159). SUBJECTS: The pooled database from the above sources comprised 7737 individual measurements. The largest sub-set of males and females were the 18-30-year-olds (n = 2999 and n = 874 respectively), this group was selected for analysis. INTERVENTION: Least-squares linear regression equations were derived for groups of subjects according to the most common geographic regions represented in the data (North Europeans and Americans, Italians, Indians and Chinese). The method of Rees & Henry (1988) was used to compare these equations over a range of body weights. RESULTS: Regression equations for Italian males and females were significantly greater than other groups over almost the entire body weight range tested. CONCLUSIONS: Italian subjects comprise 45% of the Schofield et al. (1985) database which may therefore be biased and in need of reassessment.

Adolescent↗
PubMed1995

Energy expenditure, physical activity and basal metabolic rate of elderly subjects.

Energy expenditure, and therefore energy requirement, generally decreases with advancing age because of a decrease in basal metabolic rate (BMR) and physical activity. The aim of the present study was to measure total energy expenditure (EE) and activity level in a group of healthy elderly (sixteen men aged 71.3 (SD 4.9) years; ten women aged 67.6 (SD 4.1) years) and young adults (nineteen men aged 30.4 (SD 5.0) years; ten women aged 27.2 (SD 3.9) years) by using the doubly-labelled water method in combination with measurements of BMR. Age-related differences in body composition and their relationship to BMR and activity level were studied. EE was lower in elderly compared with young adults, partly due to a significantly lower BMR. The lower BMR was not fully explained by the lower fat-free mass (FFM) in the elderly. Energy expended (MJ/d) on activity was higher for the younger subjects although there was no significant difference in the physical activity index (PAI = EE/BMR) between the two age groups. The effect of physical activity level is twofold: first it has a positive effect on the BMR, and second it has a positive effect on the FFM. Both effects involve an increase in the total EE with an increased level of physical activity. At energy balance this will lead to increased energy and nutrient intake, making especially the elderly less vulnerable to inadequate energy and nutrient intake.

Activities of Daily Living↗
PubMed2005

Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine.

BACKGROUND: Basal metabolic rate (BMR) is the largest component of daily energy demand in Western societies. Previous studies indicated that BMR is highly variable, but the cause of this variation is disputed. All studies agree that variation in fat-free mass (FFM) plays a major role, but effects of fat mass (FM), age, sex, and the hormones leptin, triiodothyrionine (T3), and thyroxine (T4) remain uncertain. OBJECTIVE: We partitioned the variance in BMR into within- and between-subject effects and explored the roles of FFM, FM, bone mineral content, sex, age, and circulating concentrations of plasma leptin, T3, and T4. DESIGN: This was a cross-sectional study of 150 white adults from northeast Scotland, United Kingdom. RESULTS: Only 2% of the observed variability in BMR was attributable to within-subject effects, of which 0.5% was analytic error. Of the remaining variance, which reflected between-subject effects, 63% was explained by FFM, 6% by FM, and 2% by age. The effects of sex and bone mineral content were not significant (P > 0.05). Twenty-six percent of the variance remained unexplained. This variation was not associated with concentrations of circulating leptin or T3. T4 was not significant in women but explained 25% of the residual variance in men. CONCLUSIONS: Our data confirm that both FFM and FM are significant contributors to BMR. When the effect of FM on BMR is removed, any association with leptin concentrations disappears, which suggests that previous links between circulating leptin concentrations and BMR occurred only because of inadequate control for the effects of FM.

Absorptiometry, Photon↗
PubMed1997

Brain cell microenvironment effects on neuron excitability and basal metabolism.

In a model of neurons in a brain cell assembly, changes in volume of the extracellular space affect neuronal excitability and basal metabolism. A widely applicable coefficient of excitability with respect to a variation of the volume fraction has been determined. Calculations suggest that chloride increases membrane stability by indirectly promoting an acceleration of the metabolic pumping rate as a response to a diminished extracellular volume fraction. Volume fraction changes induced by cell swelling in a compact and highly tortuous microenvironment may play a role in epilepsy and, following brain damage, in cell death and recovery.

Basal Metabolism↗