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Román, Daniel Antonio de Luis; Primo, David; Aller, R.; Izaola, Olatz

doi:10.20960/nh.2013

Cited by 10 publications

(13 citation statements)

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“…Sex is a factor that has been associated with REE [27][28][29]. When comparing the FAO/WHO/UNO equation in men and women, we found that it underestimated REE in both (-1.6% vs. -1.8%, respectively).…”

Section: Discussionmentioning

confidence: 77%

Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

Grassi

Boeno

Freitas

et al. 2020

Preprint

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Background: Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods: A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and, laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results: 62 patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1-36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (-1.8% difference) and Oxford in men (-1.3% difference).Conclusion: In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

show abstract

Section: Discussionmentioning

confidence: 77%

Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

Grassi

Boeno

Freitas

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Sex is a factor that has been associated with REE because men and women have differences in body size and composition [27][28][29]. When comparing the FAO/WHO/UNO equation in men and women, we found that it underestimated REE in both (-1.6% vs. -1.8%, respectively).…”

Section: Discussionmentioning

confidence: 82%

Section: Introductionmentioning

confidence: 75%

“…These data contributed to a follow-up study conducted in obese men and women, which also demonstrated a signi cant difference (REE higher in men by approximately 335 kcal/day) [29]. In fact, the differences between the male and female gender in BMR are primarily attributed to differences in body size and composition [27][28][29].In addition, the presence of diabetes is also associated with REE. Previous studies demonstrated that patients with diabetes and poor glycemic control had higher REE [9,25,26].…”

mentioning

confidence: 75%

“…Research conducted in different populations [16][17][18] and ethinicities [19][20][21][22][23][24][25][26] have evaluated REE using predictive equations. Studies considering sex have shown that REE is lower in women than in men [27][28][29]; one such study found that REE measured by IC was 23% higher in men [27]. These data contributed to a follow-up study conducted in obese men and women, which also demonstrated a signi cant difference (REE higher in men by approximately 335 kcal/day) [29].…”

mentioning

confidence: 91%

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Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

Grassi

Boeno

Freitas

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Evaluation of the resting energy expenditure (REE) is essential to ensure an appropriate dietary prescription for patients with type 2 diabetes. The aim of this record was to evaluate the accuracy of predictive equations for REE estimation in patients with type 2 diabetes, considering indirect calorimetry (IC) as the reference method.Methods: A cross-sectional study was performed in outpatients with type 2 diabetes. Clinical, body composition by electrical bioimpedance and laboratory variables were evaluated. The REE was measured by IC (QUARK RMR, Cosmed, Rome, Italy) and estimated by eleven predictive equations. Data were analyzed using Bland–Altman plots, paired t-tests, and Pearson’s correlation coefficients.Results: 62 patients were evaluated [50% female; mean age 63.1 ± 5.2 years; diabetes duration of 11 (1-36) years, and mean A1C of 7.6 ± 1.2%]. There was a wide variation in the accuracy of REE values predicted by equations when compared to IC REE measurement. In all patients, Ikeda and Mifflin St-Jeor equations were that most underestimated REE. And, the equations that overestimated the REE were proposed by Dietary Reference Intakes and Huang. The most accurate equations were FAO/WHO/UNO in women (-1.8% difference) and Oxford in men (-1.3% difference).Conclusion: In patients with type 2 diabetes, in the absence of IC, FAO/WHO/UNO and Oxford equations provide the best REE prediction in comparison to measured REE for women and men, respectively.

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The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story

et al. 2023

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Disturbed circadian rhythms have been a risk factor for type 2 diabetes mellitus (T2DM). Melatonin is the major chronobiotic hormone regulating both circadian rhythm and glucose homeostasis. The rs10830963 (G allele) of the melatonin receptor 1B ( MTNR1B ) gene has the strongest genetic associations with T2DM according to several genome-wide association studies. The MTNR1B rs10830963 G allele is also associated with disturbed circadian phenotypes and altered melatonin secretion, both factors that can elevate the risk of diabetes. Furthermore, evolutionary studies implied the presence of selection pressure and ethnic diversity in MTNR1B , which was consistent with the “thrifty gene” hypothesis in T2DM. The rs10830963 G risk allele is associated with delayed melatonin secretion onset in dim-light and prolonged duration of peak melatonin. This delayed melatonin secretion may help human ancestors adapt to famine or food shortages during long nights and early mornings and avoid nocturnal hypoglycemia but confers susceptibility to T2DM due to adequate energy intake in modern society. We provide new insight into the role of MTNR1B variants in T2DM via disturbed circadian rhythms from the perspective of the “thrifty gene” hypothesis; these data indicate a novel target for the prevention and treatment of susceptible populations with the thrifty genotype.

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Cited by 10 publications

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Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

Predictive equations for evaluation for resting energy expenditure in Brazilian patients with type 2 diabetes: What can we use?

The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story

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