Performance of resting metabolic rate estimation equations in obese patients

Abstract Background and Aims To document the nutritional content of food intake in overweight and obese people, in order to change dietary habits for acquiring the normal weight. Material and methods We assessed the nutritional content of food intake (kilocalories, vitamins and minerals) in a sample of 124 overweight and obese people and 33 subjects with normal weight. We also measured abdominal circumference, percent of body fat and resting metabolic rate. Results Overweight and obese patients, compared to normal weight, have a significant increased intake of vitamin A (p=0.002), vitamin B1 (p=0.037), vitamin B5 (p=0.047), vitamin C (p=0.029) and vitamin D (p=0.015), sodium (p=0.036), iron (p=0.032) and selenium (p=0.007). The percent of body fat in obese persons is increased (p=0.00001) and very close to abnormal in patients with no weight problems. An increased food intake, above the calculated resting metabolic rate, is associated with a slower metabolism and a rapid resting metabolic rate is often associated with food intake below resting metabolic rate (p=0.002). Conclusions All subjects had imbalanced intake of vitamins and minerals. The normal weight group didn’t achieve the dietary recommendations for vitamins and minerals and we found that these subjects had risk factors for cardiac diseases like increased abdominal circumference, body fat and sodium intake.

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Resting metabolic rate, fat-free mass and catecholamine excretion during weight loss in female obese patients

British Journal Of Nutrition ◽

10.1017/s0007114500001823 ◽

2000 ◽

Vol 84 (4) ◽

pp. 515-520 ◽

Cited By ~ 17

Author(s):

R. Menozzi ◽

M. Bondi ◽

A. Baldini ◽

M. G. Venneri ◽

A. Velardo ◽

...

Keyword(s):

Weight Loss ◽

Metabolic Rate ◽

Urinary Excretion ◽

Weight Maintenance ◽

Resting Metabolic Rate ◽

Fat Free Mass ◽

Metabolic Adaptation ◽

Obese Patients ◽

Maintenance Period ◽

Sympathoadrenal System

The reduction in resting metabolic rate (RMR) during weight loss exceeds that accounted for by changes in body composition by 15%, suggesting that factors other than fat-free mass (FFM) explain the metabolic adaptation during food restriction in obesity. Our study aimed to establish if changes in the sympathoadrenal system activity, as inferred from an integrated measure such as 24 h urinary excretion of catecholamines, may play a role in the RMR adaptation observed during dietary restriction in obese patients. Ninety-three obese female subjects consumed a low-energy diet (LED) (2930 kJ/d (700 kcal/d)) for a 3-week period. At the beginning and at the end of the study, 24 h urinary excretion of catecholamines, FFM and RMR were measured. The LED induced a significant reduction in body weight (-3·3 (SEM 0·4) KG; P < 0·01), FFM (-1·9 (sem 0·7) kg; P < 0·01) and in the fat mass (-1·2 (sem 0·5) kg; P < 0·01). Noradrenalin excretion (24 h) decreased during the LED from 264 (sem 26) during a weight-maintenance period to 171 (sem 19) nmol/24 h after consumption of the LED for 3 weeks (P < 0·001); mean 24 h adrenalin excretion did not change during the LED (22 (sem 3) during the weight-maintenance period v. 21 (sem 3) nmol/24 h after consumption of the LED for 3 weeks; NS). The LED induced a significant decrease in RMR (7300 (sem 218) v. 6831 (sem 138) kJ/24 h; P < 0·001). The only independent variable that significantly explained variations in RMR both before and after consumption of the LED for 3 weeks, was FFM (r2 0·79 and r2 0·80 respectively). Urinary noradrenalin excretion explained a further 4 % of the variability in RMR, but only before the diet, so that a role of sympathoadrenal system on RMR seems to be present in obese patients in basal conditions but not at the end of the LED.

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Validation of the predictive equations for resting metabolic rate estimation in patients with narcolepsy

Clinical Nutrition ESPEN ◽

10.1016/j.clnesp.2020.09.599 ◽

2020 ◽

Vol 40 ◽

pp. 606

Author(s):

M.M.A. Abulmeaty ◽

A.S. BaHammam ◽

A.M. Almajwal ◽

G.S. Aljuraiban ◽

M.S. Aldosari

Keyword(s):

Metabolic Rate ◽

Resting Metabolic Rate ◽

Predictive Equations ◽

Rate Estimation

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UCP2 and PLIN1 Expression Affects the Resting Metabolic Rate and Weight Loss on Obese Patients

Obesity Surgery ◽

10.1007/s11695-016-2275-0 ◽

2016 ◽

Vol 27 (2) ◽

pp. 343-348 ◽

Cited By ~ 11

Author(s):

Bruno Affonso Parenti de Oliveira ◽

Marcela Augusta de Souza Pinhel ◽

Carolina Ferreira Nicoletti ◽

Cristiana Cortes de Oliveira ◽

Driele Cristina Gomes Quinhoneiro ◽

...

Keyword(s):

Weight Loss ◽

Metabolic Rate ◽

Resting Metabolic Rate ◽

Obese Patients

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Prediction of the resting metabolic rate in obese patients

American Journal of Clinical Nutrition ◽

10.1093/ajcn/37.4.595 ◽

1983 ◽

Vol 37 (4) ◽

pp. 595-602 ◽

Cited By ~ 98

Author(s):

R S Bernstein ◽

J C Thornton ◽

M U Yang ◽

J Wang ◽

A M Redmond ◽

...

Keyword(s):

Metabolic Rate ◽

Resting Metabolic Rate ◽

Obese Patients

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Factors influencing the composition of the weight lost by obese patients on a reducing diet

British Journal Of Nutrition ◽

10.1079/bjn19800042 ◽

1980 ◽

Vol 44 (3) ◽

pp. 275-285 ◽

Cited By ~ 19

Author(s):

Merril L. Durrant ◽

J. S. Garrow ◽

P. Royston ◽

Susan F. Stalley ◽

Shirley Sunkin ◽

...

Keyword(s):

Weight Loss ◽

Metabolic Rate ◽

Energy Intake ◽

Nitrogen Loss ◽

Resting Metabolic Rate ◽

Energy Restriction ◽

Obese Patients ◽

N Loss ◽

The Third ◽

Highest Weight

1.Weight loss, resting metabolic rate and nitrogen loss were measured in forty obese inpatients on reducing diets.2. Five subjects ate 3·55 MJ/d for 6 weeks (Expt I). Twenty-one subjects ate 4.2 MJ/d for the first week, 2·0 MJ/d for the second week and 4 2 MJ/d for the third week (Expt 2). Fourteen subjects ate 3·4 MJ/d for the first week and then 0.87 MJ protein or carbohydrate for the second or third weeks, using a cross-over design for alternate patients (Expt 3).3. Patients in Expt I had highest weight loss and N loss in the first 2 weeks, but adapted to the energy restriction over the remaining weeks. On average subjects were in N balance at the end of the study.4. In Expt 2 patients eating 2·0 MJ/d in week 2 showed increased weight loss compared with week I.N loss was not raised but it failed to decrease as it had in Expt I. Weight loss and N loss were reduced on return to 4.2 MJ/d for a third week.5. In Expt 3 patients eating 0·87 MJ protein showed significantly more weight loss and less N loss than patients eating 0·87 MJ carbohydrate.6. Resting metabolic rate decreased with time on the low-energy diet, but the manipulations of energy or protein content did not significantly affect the pattern of decrease.7. Both weight loss and N loss were greater the lower the energy intake, and both decreased with time. Diets with a high protein:energy value give a favourable value for N:weight loss at each level of energy intake.

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Abstract P195: Assessing the Validity of Predicting Resting Metabolic Rate in Chronic Stroke Patients

Stroke ◽

10.1161/str.52.suppl_1.p195 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Maria Novitskaya ◽

Alice Ryan

Keyword(s):

Metabolic Rate ◽

Lean Mass ◽

Resting Metabolic Rate ◽

Chronic Stroke ◽

Healthy Adults ◽

Stroke Patients ◽

Estimation Equations ◽

Stroke Population ◽

History Of ◽

Total Body

Chronic stroke patients may have lower resting metabolic rate (RMR) due to disability and ensuing loss of skeletal muscle. Established equations used to estimate RMR based on weight, height, age, or lean body mass in healthy non-stroke individuals may not be accurate for a hemiparetic patient population. The purpose of this study is to determine resting metabolic rate in chronic stroke survivors and compare to RMR calculated with established equations in healthy adults. Adults (n=71; 56 males, 15 females; 40 African American, 27 Caucasian, 4 other / not reported) aged 44-76 years (61 ± 7.5 yrs) who had a history of chronic stroke (> 3 months prior) underwent a 30 minute test after a 12-hour fast to measure RMR by indirect calorimetry, total body DXA scan, and treadmill test (VO2 peak). Estimated RMR was calculated using nine established equations. RMR measured in the total group (1552 ± 319 kcal/day) was significantly different from all nine estimated RMR values (Katch-McArdle 1664 ± 242 kcal/day, P=0.05; Livingston 1671 ± 239 kcal/day, P<0.001; Mifflin 1703 ± 254 kcal/day, P<0.001; Owen 1761 ± 269 kcal/day, P<0.001; Harris Benedict 1782 ± 308 kcal/day, P<0.001; revised Harris-Benedict 1795 ± 306 kcal/day, P<0.001; Cunningham 1818 ± 247 kcal/day, P<0.001; Schofield 2147 ± 301 kcal/day, P<0.001; IMNA 2428 ± 405 kcal/day, P<0.001). Calculated RMR was between 9% and 60% greater than measured RMR, regardless of race. Appendicular lean mass (r=0.65, P<0.001), total lean mass (r=0.65, P<0.001), and VO2 peak (r=0.50, P<0.001) were associated with measured RMR. RMR estimation equations established in healthy adults are not reliable for the chronic stroke population, indicating the need for a more accurate predictive equation to better assist nutritional status in patients with conditions of muscle atrophy.

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Nutrient pattern of unsaturated fatty acids and vitamin E increase resting metabolic rate of overweight and obese women

International Journal for Vitamin and Nutrition Research ◽

10.1024/0300-9831/a000664 ◽

2020 ◽

pp. 1-9

Author(s):

Habib Yarizadeh ◽

Leila Setayesh ◽

Caroline Roberts ◽

Mir Saeed Yekaninejad ◽

Khadijeh Mirzaei

Keyword(s):

Vitamin E ◽

Metabolic Rate ◽

Unsaturated Fatty Acids ◽

Resting Metabolic Rate ◽

Blood Parameters ◽

Cross Sectional Study ◽

Obese Women ◽

Cross Sectional ◽

Dietary Nutrients ◽

Nutrient Patterns

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

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