The low-carbohydrate-diet score is associated with resting metabolic rate: an epidemiologic study among Iranian adults

Mohammadpour, Saba; Ghorbaninejad, Parivash; Shahinfar, Hossein; Ebaditabar, Mojdeh; Babaei, Nadia; Davarzani, Samira; Djafarian, Kurosh; Shab‐Bidar, Sakineh

doi:10.1007/s40200-021-00832-0

Cited by 7 publications

(5 citation statements)

References 43 publications

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“…This reduction in RMR might be a form of adaptation that acts as an energy-conserving mechanism [ 38 ]. This assumption aligns with the updated definition of REDs [ 9 ] and with reports from non-athletic adults; RMR showed a significant positive correlation with low carbohydrate scores [ 39 ]. In another report, low energy intake could predict future body fat regain, and high energy intake appeared to induce fat loss partly because it was associated with a higher RMR [ 40 ].…”

Section: Discussionsupporting

confidence: 84%

Resting Metabolic Rate and Substrate Utilization during Energy and Protein Availability in Male and Female Athletes

Abulmeaty,

Almajwal,

Elsayed

et al. 2024

Metabolites

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Active athletes frequently develop low energy (LEA) and protein availabilities (LPA) with consequent changes in the vital metabolic processes, especially resting metabolic rate (RMR) and substrate utilization. This study investigated the association of energy and protein intakes with RMR and substrate utilization in male and female athletes and those with LEA and LPA. Sixty athletes (35% female, 26.83 ± 7.12 y) were enrolled in this study. Anthropometric measurements and body composition analysis were reported to estimate fat-free mass (eFFM). Dietary intakes were recorded by two-day multiple-pass 24 h recall records and three-day food records and then analyzed by food processor software to calculate protein intake (PI) and energy intake (EI). Indirect calorimetry was used to measure RMR and percentages of substrate utilization. Activity–energy expenditure (AEE) was assessed by using an Actighrphy sensor for three days. Energy availability was calculated using the following formula (EA = EI − AEE/eFFM). The correlation of EI and PI with RMR and substrate utilization was tested with Pearson correlation. In the LEA group, both EI and PI correlated positively with RMR (r = 0.308, 0.355, respectively, p < 0.05). In addition, EI showed a positive correlation with the percentage of fat utilization. In the male and sufficient-PA groups, PI correlated positively with the RMR and negatively with the percentage of protein utilization. In conclusion, the percentage of LEA is markedly prevalent in our sample, with a higher prevalence among males. Athletes with LEA had lower fat utilization and lower RMR, while those with sufficient PA showed lower protein utilization with excessive PI. These findings may explain the metabolic responses in the cases of LEA and LPA.

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Section: Discussionsupporting

confidence: 84%

Resting Metabolic Rate and Substrate Utilization during Energy and Protein Availability in Male and Female Athletes

Abulmeaty,

Almajwal,

Elsayed

et al. 2024

Metabolites

View full text Add to dashboard Cite

show abstract

“…We also assessed dietary intakes in the study population. Based on previous investigations, adherence to diets lower in carbohydrates and higher in fat and protein were linked with higher RMR [53,54]. In addition, there was no significant difference in the dietary intakes between the two groups.…”

Section: Discussionmentioning

confidence: 74%

The association of appetite and hormones (leptin, ghrelin, and Insulin) with resting metabolic rate in overweight/ obese women: a case–control study

et al. 2022

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Objective Low resting metabolic rate (RMR), as a risk factor for weight gain and obesity, can be influenced by many factors. Empirical research has confirmed the role of appetite and related hormones in obesity and energy intake. This study aimed to investigate the relationship between appetite and related hormones in overweight or obese Iranian women with normal and hypo RMR. Methods This case–control study was conducted on 42 Iranian adult women (21 cases, and 21 controls), aged 18–48 years. An impedance body analyzer was used to obtain the body composition and an indirect calorimeter was used to assess the RMR. The Flint questionnaire was used to assess appetite, dietary intake, and physical activity were assessed by FFQ and IPAQ questionnaires respectively, and ELISA kits were used to assess leptin, ghrelin, and insulin hormones. Results The results of the study demonstrated a negative association between ghrelin hormone level (β = -0.34, 95%CI = -61.70,-3.86, P-value = 0.027) and RMR, and a positive association between insulin hormone level (β = 0.48, 95%CI = 9.38–34.35, P-value = 0.001) and RMR. Also, results of the appetite questionnaire showed that, in general, both appetite (β = 0.32, 95%CI = -0.10–2.99 P-value = 0.044) and hunger variable (β = 0.30, 95%CI = 0.04–5.87, P-value = 0.047) have a positive association with RMR. There was no significant association between leptin levels and RMR. Conclusion It is evident that appetite and related hormones have a potential role in promoting a normal RMR.

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“…The results found regarding the moderating role of diet quality may be due to physiological (Mohammadpour, et al, 2021;Zapata, et al, 2021) and genetic processes such as thyroxine and adrenaline hormones that can increase basal metabolic expenditure (Lee, et al, 2021;Ravussin, 1995;Rosa-Guillamón, 2015;Zawada, et al, 2021), derived from the assimilation of certain macronutrients in the diet. In other words, several studies have shown an influence of macronutrient intake on the metabolic profile, finding positive effects of the Mediterranean diet on BMR and on the abundance of microbial species associated with better macronutrient metabolism compared to those subjects with a different dietary pattern (Daniele, Scarfò, & Ceccarelli, 2021;Nadimi, Djazayery, & Hosseini, 2013).…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Weight Status And Basal Metabolism In Schoolchildren

López

Guillamón

2023

Kinesiology (Zagreb, Online)

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There is currently a scientific trend to study the association between energy balance and its impact on health from the earliest stages of life. The aim of this study was to examine whether diet quality and physical activity moderate the association between weight status and basal metabolism in a sample of Murcian primary school children aged 8-12 years. Basal metabolism was calculated according to height, sex, and weight, with fixed coefficients following validated formulae. Physical activity was measured with the Krece-Plus test; the KIDMED questionnaire was used to quantify diet quality and nutritional status was assessed by body mass index (BMI; kg/m2) adjusted for sex and age. The results obtained indicate that overweight schoolchildren have a higher basal metabolism than their normal-weight peers considering their diet quality and physical activity level (p<.001, for both). Also, the effects of weight status on basal metabolism may be moderated by diet quality (p<.05) but not by physical activity (p>.05). These results may be of particular interest to educational and health personnel since generating strategies to improve school children’s eating habits, especially towards higher diet quality, could be vital as a method to increase basal metabolic energy expenditure and their overall health.

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The low-carbohydrate-diet score is associated with resting metabolic rate: an epidemiologic study among Iranian adults

Cited by 7 publications

References 43 publications

Resting Metabolic Rate and Substrate Utilization during Energy and Protein Availability in Male and Female Athletes

Resting Metabolic Rate and Substrate Utilization during Energy and Protein Availability in Male and Female Athletes

The association of appetite and hormones (leptin, ghrelin, and Insulin) with resting metabolic rate in overweight/ obese women: a case–control study

Relationship Between Weight Status And Basal Metabolism In Schoolchildren

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