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1  was used to assess respiratory quotient and resting energy expenditure.
2 n insulin resistance HOMA-IR, adiposity, and resting energy expenditure.
3 ticipants without MASLD, including increased resting energy expenditure.
4 ucose provided 50% of the patient's measured resting energy expenditure.
5              Amino acids provided 20% of the resting energy expenditure.
6 on a treadmill for 5.5 h at approximately 3x resting energy expenditure.
7 protein and energy at 1.7 times the measured resting energy expenditure.
8 r, and water, which may increase satiety and resting energy expenditure.
9 which was objectively measured as a ratio to resting energy expenditure.
10  higher DIT ( approximately 30 kJ/2.5 h) and resting energy expenditure (243 kJ/d) and an anorexigeni
11                                              Resting energy expenditure, although very low in low-wei
12  determine the pattern of anabolic hormones, resting energy expenditure and cytokines in severely the
13 gy expenditure resulting from both increased resting energy expenditure and locomotor activity.
14 n of ALS patients possesses higher levels of resting energy expenditure and lower fat-free mass compa
15  stimulation with propranolol would decrease resting energy expenditure and muscle catabolism in pati
16 A copy number increased significantly; also, resting energy expenditure and natural running speed imp
17 e role of hemodialysis on energy metabolism, resting energy expenditure and respiratory quotient in t
18                                              Resting energy expenditure and respiratory quotient were
19 t calorimetry was used to determine systemic resting energy expenditure and respiratory quotient.
20                                              Resting energy expenditure and sepsis were also strong p
21                                              Resting energy expenditure and skeletal-muscle protein k
22      The average difference between measured resting energy expenditure and the Harris-Benedict predi
23      The average difference between measured resting energy expenditure and the Talbot prediction wit
24 t-free mass, and percentage of body weight), resting energy expenditure, and adaptive thermogenesis.
25 energy they contain, a possible increment in resting energy expenditure, and an augmentation of fat o
26           Thirty-five (70%) studies reported resting energy expenditure, and approximately half (k =
27                            Body composition, resting energy expenditure, and concentrations of muscle
28 uted to strong satiety properties, increased resting energy expenditure, and limited lipid bioaccessi
29  index, body composition, hip circumference, resting energy expenditure, and respiratory quotient.
30  muscle size and strength, body composition, resting energy expenditure, and skeletal muscle creatine
31 olanzapine on body weight, body composition, resting energy expenditure, and substrate oxidation as w
32 wer, and nitrogen balance and an increase in resting energy expenditure as death approached.
33 duction of adiposity resulted from increased resting energy expenditure associated with increased exp
34 oxidation, oxidative glucose metabolism, and resting energy expenditure at baseline and at high level
35 ations tend to either over- or underestimate resting energy expenditure at different phases.
36 activity level (ie, total energy expenditure/resting energy expenditure); baseline anthropometric mea
37 body mass index support a role for increased resting energy expenditure before clinical onset of ALS.
38                     Outcome measures such as resting energy expenditure, body composition data (measu
39 S patients are hypermetabolic with increased resting energy expenditure, but if and how hypermetaboli
40 ations have been developed for estimation of resting energy expenditure, but no study has been done t
41           The KE group exhibited 14% greater resting energy expenditure, but the total energy expendi
42      Caloric prescription exceeded predicted resting energy expenditure by 30%-100%.
43 ion by dual-energy X-ray absorptiometry, and resting energy expenditure by indirect calorimetry.
44 king annual measures of body composition and resting energy expenditure (by indirect calorimetry) and
45                  Degree of agreement between resting energy expenditure calculated by predictive equa
46                                  None of the resting energy expenditure calculated from predictive eq
47                         Although none of the resting energy expenditure calculated from predictive eq
48 ytokine or counterregulatory hormone levels, resting energy expenditure, caloric intake, pulmonary fu
49                                   Changes in resting energy expenditure, cardiac function, and body c
50 t, weight, body composition, serum hormones, resting energy expenditure, cardiac function, muscle str
51                                              Resting energy expenditure declined by 10.5% during the
52                                              Resting energy expenditure decreased less with the low-g
53                                 Sleeping and resting energy expenditures decreased in proportion to c
54 d heart rate and percentage of the predicted resting energy expenditure, decreased accumulation of ce
55 xpenditure as these mice exhibited decreased resting energy expenditure, decreased body temperature,
56 cantly lower in the EB period (P=0.001), and resting energy expenditure did not differ significantly
57                                   Changes in resting energy expenditure did not differ significantly
58 ngle-bout control groups, SIT did not affect resting energy expenditure (EE: ventilated hood techniqu
59 ces were seen between measured and predicted resting energy expenditure either within or between grou
60 rospective observational study that compared resting energy expenditure estimated by 15 commonly used
61  0.002) and less closely with their measured resting energy expenditure expressed as kcal/d (r = 0.69
62 enditure from doubly labeled water minus the resting energy expenditure from indirect calorimetry, wa
63                                              Resting energy expenditure further increased significant
64  by using a stress-related correction to the resting energy expenditure grossly overestimate MEE.
65 ectations, fasting, a condition that reduces resting energy expenditure, has been reported to increas
66 n body mass, food intake, glucose tolerance, resting energy expenditure, hind limb muscle mass, dener
67 se, lipids, alanine, insulin resistance, and resting energy expenditure in LBW participants versus co
68 hondrial oxidative capacity while decreasing resting energy expenditure in severely burned children.
69 es could explain > 45% of the variability of resting energy expenditure in subjects 130-159% of ideal
70                                              Resting energy expenditure in the fed and fasting states
71  Beta-blockade decreased the heart rates and resting energy expenditure in the propranolol group, bot
72 a rebound increase in oxygen consumption and resting energy expenditure in the recovery phase of seps
73 ing brain consumes a lifetime peak of 66% of resting energy expenditure in the years preceding the AR
74 ars to be the only useful way of determining resting energy expenditure in these patients.
75 sed fasting fat oxidation (P < 0.01), whilst resting energy expenditure increased after HA and HP com
76             Overall, insulin sensitivity and resting energy expenditure increased and serum gamma-glu
77 ric (kcal/kg/day) prescription and predicted resting energy expenditure (kcal/kg/day).
78  we describe how sleep deprivation increases resting energy expenditure, leading to the development o
79 One key characteristic of cachexia is higher resting energy expenditure levels than in healthy indivi
80 emodialysis patients have higher than normal resting energy expenditure levels, which is further incr
81 cal Activity Level (total energy expenditure/resting energy expenditure &lt;/= 1.75), only 17% (n=7) of
82 iture calculated by predictive equations and resting energy expenditure measured by indirect calorime
83 nt differences (F= 3.447; p = 0.034) in mean resting energy expenditure measured by indirect calorime
84 ) with caloric intake 20% to 30% above their resting energy expenditure measured by indirect calorime
85 5 commonly used predictive equations against resting energy expenditure measured by indirect calorime
86 edictive equations differing by +/- 10% from resting energy expenditure measured by indirect calorime
87 d respiratory data had better agreement with resting energy expenditure measured by indirect calorime
88  Sigma(K(i) x T(i)), where REE is whole-body resting energy expenditure measured by indirect calorime
89              Pairwise comparison showed mean resting energy expenditure measured by indirect calorime
90                                              Resting energy expenditure, measured by indirect calorim
91 fter burn, height, weight, body composition, resting energy expenditure, muscle strength, and serum h
92                                      Neither resting energy expenditure nor respiratory quotient were
93                                 In contrast, resting energy expenditure (normal protein diet: 160 kca
94 y when a standard 1.5 g/kg/day protein and a resting energy expenditure of 120% to 130% of calories i
95    Because this process requires energy, the resting energy expenditure of ill patients increases.
96 ialysis patients have a significantly higher resting energy expenditure on a nondialysis day (1.18 +/
97          These mice also exhibited increased resting energy expenditure on both chow and high fat die
98 ntake, greater lipid fuel preference and non-resting energy expenditure, one-half the body fat, and b
99 tation also had no effect on blood pressure; resting energy expenditure; oxidation rates of lipid; ec
100  the postdialysis period and nondialysis day resting energy expenditure (P < 0.001 for both).
101 mpared to controls (P = 0.002) and increased resting energy expenditure (P = 0.045) and total energy
102 ased serum IL-1beta and TNF-alpha as well as resting energy expenditure, P < 0.05.
103                                              Resting energy expenditure (PBMR), predicted energy expe
104 showing decreases in weight, blood pressure, resting energy expenditure, percentage body fat, free tr
105 ily energy expenditure is mainly composed of resting energy expenditure, physical activity energy exp
106                                              Resting energy expenditure rates and those after meal in
107                                 The combined resting energy expenditure (REE) and handgrip strength p
108 tyrate- R-1,3-butanediol monoester increases resting energy expenditure (REE) and markers of brown an
109                        Weight change affects resting energy expenditure (REE) and metabolic risk fact
110    This was a cross-sectional study in which resting energy expenditure (REE) and NB were measured an
111 energy expenditure (TEE) and its components, resting energy expenditure (REE) and physical activity e
112  determined the reproducibility of measuring resting energy expenditure (REE) and the effect on REE o
113                                              Resting energy expenditure (REE) and the thermic effect
114 is study was to characterize total (TEE) and resting energy expenditure (REE) and to assess the accur
115  This study compared measured with predicted resting energy expenditure (REE) and total energy expend
116 ntake from a 9835-kcal food array (n = 185), resting energy expenditure (REE) by using indirect calor
117                                              Resting energy expenditure (REE) can be depressed in aff
118                              Measurements of resting energy expenditure (REE) can be used to determin
119                                Lean mass and resting energy expenditure (REE) decrease with age.
120                                              Resting energy expenditure (REE) equations could noninva
121                         Body composition and resting energy expenditure (REE) have not been examined
122 d feeding studies and measures of short-term resting energy expenditure (REE) have suggested that the
123 pediatric population to describe and predict resting energy expenditure (REE) in a cohort of pediatri
124 lop a clinically useful equation to estimate resting energy expenditure (REE) in adolescents with SCA
125                                              Resting energy expenditure (REE) in adults with untreate
126                                        Lower resting energy expenditure (REE) in African American wom
127 he fat-free mass (FFM)-independent change in resting energy expenditure (REE) in response to caloric
128 o analyze the influence of age and gender on resting energy expenditure (REE) in severely burned chil
129                                 Knowledge on resting energy expenditure (REE) in spinal muscular atro
130                                              Resting energy expenditure (REE) is commonly measured in
131                      Accurate measurement of resting energy expenditure (REE) is helpful in determini
132            Accurate estimation of children's resting energy expenditure (REE) is important for planni
133                 Previous studies showed that resting energy expenditure (REE) is lower in obese Afric
134  rate organs (HMROs) mediates variability in resting energy expenditure (REE) is unknown.
135 30-150% of estimated energy expenditure, but resting energy expenditure (REE) may be lower than expec
136        Patients with newly diagnosed CRC had resting energy expenditure (REE) measured by indirect ca
137           We previously derived a whole-body resting energy expenditure (REE) prediction model by usi
138               African Americans have a lower resting energy expenditure (REE) relative to fat-free ma
139           African Americans may have a lower resting energy expenditure (REE) than do whites, althoug
140 fat-free mass (FFM)-independent reduction of resting energy expenditure (REE) to caloric restriction
141                This study aimed to determine resting energy expenditure (REE) trajectories in hospita
142 o studies conducted in Pima Indians, in whom resting energy expenditure (REE) was found to be inverse
143                                              Resting energy expenditure (REE) was measured by indirec
144    Total daily energy expenditure (TDEE) and resting energy expenditure (REE) were measured and AEE w
145 erminants of total energy expenditure (TEE), resting energy expenditure (REE), and activity-related e
146 xyprogesterone acetate) affects food intake, resting energy expenditure (REE), and body weight in you
147 ences in energy balance [ie, dietary intake, resting energy expenditure (REE), and physical activity]
148 ion analyses, peak O2 consumption (VO2peak), resting energy expenditure (REE), and sex were independe
149                                              Resting energy expenditure (REE), body composition, and
150      The aim of this study was to assess the resting energy expenditure (REE), body composition, and
151                                              Resting energy expenditure (REE), but not body compositi
152                  To test the hypothesis that resting energy expenditure (REE), estimated total daily
153 e to profile total energy expenditure (TEE), resting energy expenditure (REE), exercise energy expend
154 has been shown that Black women have a lower resting energy expenditure (REE), factors affecting REE
155 ossover study included serial assessments of resting energy expenditure (REE), fat and carbohydrate o
156  We examined the relation of DEE to pretrial resting energy expenditure (REE), FFM, REE derived from
157                                              Resting energy expenditure (REE), oxygen consumption, an
158                 Secondary endpoints included resting energy expenditure (REE), plasma metabolites, an
159  (P < 0.01) and derived metabolic variables [resting energy expenditure (REE), respiratory quotient (
160 (SP) diets on weight loss, body composition, resting energy expenditure (REE), satiety and appetite,
161 ains unclear.We studied the relation between resting energy expenditure (REE), the estimated energy b
162   MAIN OUTCOME MEASURES: Primary outcome was resting energy expenditure (REE), with secondary outcome
163 cterized by loss of muscle mass and elevated resting energy expenditure (REE).
164 ect of prolonged elevation of epinephrine on resting energy expenditure (REE).
165 red continuously by using accelerometry) and resting energy expenditure (REE).
166 taneous fat and is associated with increased resting energy expenditure (REE).
167 syndromes are also associated with increased resting energy expenditure (REE).
168 s expressed as 1) unadjusted PAEE [TEE minus resting energy expenditure (REE); in MJ/d], 2) PAEE adju
169 ergy expenditure pattern was determined from resting energy expenditure (REE, n = 61 SQCP; n = 37 con
170 position (dual energy x-ray absorptiometry), resting energy expenditure (REE; indirect calorimetry),
171 , and secondarily on body composition (DXA), resting energy expenditure (REE; indirect calorimetry),
172       Results were analyzed according to the resting energy expenditure (REE; Schofield formula).
173                                     The 24-h resting energy expenditure (respiratory chamber) measure
174 sistance [HOMA-IR]), trunk-to-leg fat ratio, resting energy expenditure, respiratory quotient, and fa
175                           In the short term, resting energy expenditure significantly decreased (p <
176                                              Resting energy expenditure significantly increased postt
177                                              Resting energy expenditure, total energy expenditure, an
178                                              Resting energy expenditure values calculated from predic
179                                     Measured resting energy expenditure was 4.72 +/- 2.53 MJ/d.
180                                              Resting energy expenditure was determined by indirect ca
181 as estimated by using activity monitors, and resting energy expenditure was determined by indirect ca
182                                              Resting energy expenditure was determined daily for < or
183                                              Resting energy expenditure was lower (P < 0.0001) and le
184                                          The resting energy expenditure was measured by indirect calo
185                                              Resting energy expenditure was measured by indirect calo
186                                              Resting energy expenditure was measured by using indirec
187                                              Resting energy expenditure was measured during hospital
188 y dual-energy x-ray absorptiometry biweekly, resting energy expenditure was measured weekly by ventil
189 aptive thermogenesis; however, the change in resting energy expenditure was significantly greater in
190                                              Resting energy expenditure was similar between control a
191            Mean physical activity level (TEE/resting energy expenditure) was 1.56 (SD 0.39) at age 3
192 ucose, lipid, and insulin concentrations and resting energy expenditure were measured before and afte
193 by using a 4-compartment model, sleeping and resting energy expenditures were assessed by using a cha
194 ss three phases and could be used to predict resting energy expenditure when indirect calorimetry is
195 onist propranolol decreases cardiac work and resting energy expenditure while increasing peripheral l
196  included in the data analysis consisting of resting energy expenditure, whole body and liver insulin
197                   CE significantly increased resting energy expenditure, whole-body glucose disposal,
198 -Benedict nor the Talbot method will predict resting energy expenditure with acceptable precision for

 
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