Low-carbohydrate-diet score and metabolic syndrome: An epidemiologic study among Iranian women

Nutrition ◽  
2015 ◽  
Vol 31 (9) ◽  
pp. 1124-1130 ◽  
Author(s):  
Fatemeh Shirani ◽  
Ahmad Esmaillzadeh ◽  
Ammar Hassanzadeh Keshteli ◽  
Peyman Adibi ◽  
Leila Azadbakht
Keyword(s):  
Metabolic Syndrome ◽  
Epidemiologic Study ◽  
Iranian Women ◽  
Carbohydrate Diet ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
Diet Score

scholarly journals Association of low-carbohydrate diet score with overweight, obesity and cardiovascular disease risk factors: a cross-sectional study in Iranian women

2019 ◽  
Vol 11 (3) ◽  
pp. 216-223
Author(s):  
Soudeh Jafari-Maram ◽  
Elnaz Daneshzad ◽  
Neil R. Brett ◽  
Nick Bellissimo ◽  
Leila Azadbakht
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Disease Risk ◽  
Fasting Blood Glucose ◽  
Iranian Women ◽  
Carbohydrate Diet ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
Diet Score

Introduction: This study aimed to determine the association of low-carbohydrate-diet score with overweight, obesity and cardiovascular risk factors among Iranian women. Methods: In healthy Iranian women 20-50 years, demographics, anthropometrics, physical activity, blood pressure, fasting blood glucose, blood lipids, and dietary intake (using a validated food frequency questionnaire) were assessed. Participants were divided into deciles of macronutrient intakes. Women in the lowest decile of carbohydrate intake received a score of 9 and women in the highest decile received a score of 0. For protein and fat intakes, women in the lowest decile received a score of 0 for that macronutrient and those in the highest decile received the score of 9. Macronutrient scores were summed to create the low-carbohydrate diet score and women were grouped into tertiles based on these scores. Continuous and qualitative variables were compared among the low-carbohydrate-diet score by one-way ANOVA and chi-square test, respectively. Logistic regression was used to determine the association of low-carbohydrate-diet score and cardiovascular risk factors. Results: A total of 209 women were included in the study. Socioeconomic status significantly increased from tertile 1 to 3 of the low-carbohydrate diet score (P = 0.02). Total dietary glycemic index (GI) significantly differed among tertiles (tertile 1 GI: 63.1 ±0.50, tertile 2 GI: 61.9 ± 0.5, tertile 3 GI: 59.5 ± 0.5; P < 0.001). The odds ratios for overweight, obesity and cardiovascular risk factors were not significantly different among the tertiles of low-carbohydrate diet score. Conclusion: In Iranian women, diets lower in carbohydrate and higher in protein and fat were not associated with overweight, obesity and cardiovascular risk factors.

Low-Carbohydrate-Diet Score and the Risk of Coronary Heart Disease in Women

2006 ◽  
Vol 355 (19) ◽  
pp. 1991-2002 ◽  
Author(s):  
Thomas L. Halton ◽  
Walter C. Willett ◽  
Simin Liu ◽  
JoAnn E. Manson ◽  
Christine M. Albert ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Carbohydrate Diet ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
Diet Score

scholarly journals Association of low-carbohydrate diet score with perceived stress score: A cross-sectional study in Iranian nurses

2020 ◽  
Vol 22 (3) ◽  
pp. 452-460
Author(s):  
Azadeh Dehghani ◽  
Mahnaz Sanjari ◽  
Sedigheh Salemi ◽  
Zhila Maghbooli ◽  
Khadijeh Mirzaie ◽  
...  
Keyword(s):  
Perceived Stress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Carbohydrate Diet ◽  
Cross Sectional ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
Stress Score ◽  
Diet Score

scholarly journals The Relationship between Low Carbohydrate Diet Score and Mental Health in Overweight and Obese Women

2020 ◽  
Vol 14 (2) ◽  
pp. 47-54
Author(s):  
Habib Yarizadeh ◽  
Leila Setayesh ◽  
Moein Askarpour ◽  
Seyed Ali Keshavarz ◽  
Khadijeh Mirzaei ◽  
...  
Keyword(s):  
Mental Health ◽  
Obese Women ◽  
Carbohydrate Diet ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
The Relationship ◽  
Diet Score

scholarly journals The association between low carbohydrate diet score and metabolic syndrome among Iranian adults

2021 ◽  
pp. 1-25
Author(s):  
Zohreh Sadat Sangsefidi ◽  
Elnaz Lorzadeh ◽  
Azadeh Nadjarzadeh ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Abdominal Obesity ◽  
Hdl Cholesterol ◽  
Health Study ◽  
Dietary Intakes ◽  
Carbohydrate Diet ◽  
Cross Sectional ◽  
Low Carbohydrate Diet ◽  
Low Carbohydrate ◽  
Low Hdl

Abstract Objective: Assessing relationship between low carbohydrate diet (LCD) score and metabolic syndrome (Mets) in Iranian adults. Design: Cross-sectional study Setting: Yazd Health Study and Taghzieh Mardom-e-Yazd study. Participants: Data of 2074 participants were used. Dietary intakes were assessed by a validated semi-quantitative food frequency questionnaire. LCD score was calculated for each person by summing up the assigned scores to deciles of energy percentages from macronutrients. Mets was evaluated using National Cholesterol Education Program Adult Treatment Panel III. Eventually, association between LCD score and Mets was examined using logistic regression. Results: Total Mets prevalence was approximately 40.5%. After adjustment for confounders, subjects in the higher quartile of LCD score had a significant lower chance of Mets versus lower quartile among all participants (Q4 versus Q1: OR: 0.68, 95% CI: 0.50-0.92) and separately in men (Q4 versus Q1: OR: 0.54, 95% CI: 0.34-0.86) and women (Q2 versus Q1: OR: 0.53, 95% CI: 0.34-0.82). Furthermore, more LCD adherence in men reduced abdominal obesity by 47% (Q3 versus Q1OR: 0.53, 95% CI: 0.28-0.99). Low HDL cholesterol was also observed both in the highest quartile of LCD score in all participants (OR: 0.74, 95% CI: 0.56-0.99) and separately in men (OR: 0.63, 95% CI: 0.40-0.98) versus the first quartile. Conclusions: More adherence to LCD might be related to lower chance of Mets and some of its components such as low HDL cholesterol and abdominal obesity specially in men. Further studies are required to confirm the findings.

Sign in / Sign up

Export Citation Format

Share Document