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

Author(s):  
Saba Mohammadpour ◽  
Parivash Ghorbaninejad ◽  
Hossein Shahinfar ◽  
Mojdeh Ebaditabar ◽  
Nadia Babaei ◽  
...  
2020 ◽  
Author(s):  
Seyedeh Forough Sajjadi ◽  
Atieh Mirzababaei ◽  
nasim Ghodoosi ◽  
Sara Pooyan ◽  
Hana Arghavani ◽  
...  

Abstract Objective Resting metabolic rate (RMR) accounts for most of the daily energy expenditure. The low-carb diet attenuates decreases in RMR. This study aims to investigate the relationship between a low-carb diet and resting metabolic rate status. Methods We enrolled 304 overweight and obese women in this cross-sectional study. BMI, fat mass, fat-free mass, visceral fat, insulin level were assessed. RMR was measured using indirect calorimetry. A low carbohydrate diet score was measured using a validated semi-quantitative food frequency questionnaire (FFQ). Results Our results showed no relationship between LCDS and DNR even after adjust for confounders (Inc. RMR: OR: 0.97; 95% CI: 0.92–1.01, P = 0.20; Dec. RMR: OR: 0.97; 95% CI: 0.94-1.00, P = 0.14). Some components of LCDS had significant differences with DNR, such as carbohydrate and Dec. RMR in adjusted model (OR: 1.62; 95% CI: 0.98–1.37, P = 0.08), MUFA and Dec. RMR in adjusted model (OR: 0.48; 95% CI: 0.21–1.10, P = 0.08) and refined grain and Inc. RMR in crude model (OR: 0.87; 95% CI: 0.77–0.99, P = 0.04). Conclusion Our study showed that there is no association between a low-carb diet and RMR status but carbohydrate, MUFA, and refined grain had a significant relationship.


Nutrition ◽  
2015 ◽  
Vol 31 (9) ◽  
pp. 1124-1130 ◽  
Author(s):  
Fatemeh Shirani ◽  
Ahmad Esmaillzadeh ◽  
Ammar Hassanzadeh Keshteli ◽  
Peyman Adibi ◽  
Leila Azadbakht

2006 ◽  
Vol 355 (19) ◽  
pp. 1991-2002 ◽  
Author(s):  
Thomas L. Halton ◽  
Walter C. Willett ◽  
Simin Liu ◽  
JoAnn E. Manson ◽  
Christine M. Albert ◽  
...  

2020 ◽  
Vol 22 (3) ◽  
pp. 452-460
Author(s):  
Azadeh Dehghani ◽  
Mahnaz Sanjari ◽  
Sedigheh Salemi ◽  
Zhila Maghbooli ◽  
Khadijeh Mirzaie ◽  
...  

2017 ◽  
Vol 313 (4) ◽  
pp. R347-R356 ◽  
Author(s):  
Hugh S. Winwood-Smith ◽  
Craig E. Franklin ◽  
Craig R. White

Long-term studies have found that low-carbohydrate diets are more effective for weight loss than calorie-restricted diets in the short term but equally or only marginally more effective in the long term. Low-carbohydrate diets have been linked to reduced glycogen stores and increased feelings of fatigue. We propose that reduced physical activity in response to lowered glycogen explains the diminishing weight loss advantage of low-carbohydrate compared with low-calorie diets over longer time periods. We explored this possibility by feeding adult Drosophila melanogaster a standard or a low-carbohydrate diet for 9 days and measured changes in metabolic rate, glycogen stores, activity, and body mass. We hypothesized that a low-carbohydrate diet would cause a reduction in glycogen stores, which recover over time, a reduction in physical activity, and an increase in resting metabolic rate. The low-carbohydrate diet reduced glycogen stores, which recovered over time. Activity was unaffected by diet, but metabolic rate was reduced, in the low-carbohydrate group. We conclude that metabolic depression could explain the decreased effectiveness of low-carbohydrate diets over time and recommend further investigation of long-term metabolic effects of dietary interventions and a greater focus on physiological plasticity within the study of human nutrition.


2020 ◽  
Vol 14 (2) ◽  
pp. 47-54
Author(s):  
Habib Yarizadeh ◽  
Leila Setayesh ◽  
Moein Askarpour ◽  
Seyed Ali Keshavarz ◽  
Khadijeh Mirzaei ◽  
...  

2021 ◽  
Author(s):  
Guo-Chao Zhong ◽  
Qu-Jin Li ◽  
Peng-Fei Yang ◽  
Yun-Bing Wang ◽  
Fa-Bao Hao ◽  
...  

Abstract Low-carbohydrate diets have become a popular approach for weight loss in recent years. However, whether low-carbohydrate diets are associated with the risk of pancreatic cancer remains to be elucidated. Hence, we examined the association of low-carbohydrate diets with the risk of pancreatic cancer in a US population. A population-based cohort of 95962 individuals was identified. A low-carbohydrate-diet score was calculated to quantify adherence to this dietary pattern, with higher scores indicating greater adherence. Cox regression was used to calculate risk estimate for the association of the low-carbohydrate-diet score with the risk of pancreatic cancer. Subgroup analysis was used to identify the potential effect modifiers. After an average follow-up of 8.87 years (875856.9 person-years), we documented a total of 351 pancreatic cancer cases. In the fully adjusted model, the highest vs. the lowest quartiles of the overall low-carbohydrate-diet score was found to be associated with a reduced risk of pancreatic cancer (hazard ratioquartile 4 vs. 1: 0.61; 95% confidence interval: 0.45, 0.82; Ptrend<0.001). Subgroup analysis found that the inverse association of low-carbohydrate diets with the risk of pancreatic cancer was more pronounced in individuals aged ≥65 years than in those aged <65 years (Pinteraction=0.015). Similar results were obtained for animal and vegetable low-carbohydrate-diet scores. In conclusion, low-carbohydrate diets, regardless of the type of protein and fat, are associated with a lower risk of pancreatic cancer in the US population, suggesting that adherence to low-carbohydrate-diets may be beneficial for pancreatic cancer prevention. Future studies should validate our findings in other populations.


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