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Obesity and Metabolism
Associations between Dietary Acid-Base Load and Cardiometabolic Risk Factors in Adults: The Tehran Lipid and Glucose Study
Zahra Bahadoran, Parvin Mirmiran, Hadise Khosravi, Fereidoun Azizi
Endocrinol Metab. 2015;30(2):201-207.   Published online June 30, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.2.201
  • 3,593 View
  • 29 Download
  • 31 Web of Science
  • 34 Crossref
AbstractAbstract PDFPubReader   
Background

In this study we investigated the associations of dietary acid-base load, identified by potential renal acid load (PRAL) and protein to potassium (Pro:K) ratio, with cardiometabolic risk factors in Tehranian adults.

Methods

A cross-sectional study was conducted within the framework of the fourth phase of the Tehran Lipid and Glucose Study (2009 to 2011) on 5,620 men and women aged 19 to 70 years. Dietary data were collected by a trained dietitian using a validated, 147-food item, semi-quantitative food frequency questionnaire, and dietary PRAL and Pro:K ratio were calculated. Multiple linear regression models with adjustment for potential confounding variables were used to evaluate the associations of dietary acid-base load with anthropometric measures, blood pressure, serum triglycerides, high density lipoprotein cholesterol (HDL-C), serum creatinine, and fasting blood glucose.

Results

The mean±SD age of the participants was 39.8±12.8 years and 54% of participants were women. Mean±SD PRAL was -22.0±29.1; mean PRAL was -15.6 in men and -26.8 in women. Dietary PRAL was associated with weight (β=0.098, P<0.001), waist circumference (β=0.062, P<0.01), serum triglycerides (β=0.143, P<0.01), HDL-C (β=-0.11, P<0.01), diastolic blood pressure (β=0.062, P<0.01), and serum creatinine (β=0.142, P<0.001). Pro:K ratio was associated with weight (β=0.055, P<0.001), waist circumference (β=0.04, P<0.01), serum HDL-C (β=-0.06, P<0.01), serum triglycerides (β=0.03, P<0.05), diastolic blood pressure (β=0.026, P<0.05), and serum creatinine (β=0.07, P<0.01).

Conclusion

A more acidic dietary acid-base load may be a risk factor for the development of metabolic disorders.

Citations

Citations to this article as recorded by  
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    Shamim Dolati, Soha Razmjouei, Mohammad Alizadeh, Amir Hossein Faghfouri, Amir Hossein Moridpour
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(3): 569.     CrossRef
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    Maximilian Andreas Storz
    Journal of Racial and Ethnic Health Disparities.2023; 10(6): 2851.     CrossRef
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    Faezeh Abaj, Zahra Esmaeily, Zeinab Naeini, Ehsan Alvandi, Masoumeh Rafiee, Fariba Koohdani
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
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    Lifestyle Genomics.2023; 16(1): 61.     CrossRef
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    Clinical Nutrition ESPEN.2022; 48: 361.     CrossRef
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    BMC Endocrine Disorders.2022;[Epub]     CrossRef
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    Tülay OMMA, Fatmanur Hümeyra ZENGİN, Süheyla AYDOĞMUŞ, Cavit ÇULHA
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    Nurefşan KONYALIGİL, Betül ÇİÇEK, Tuba TEKİN, Meltem ÜNLÜSAVURAN SÖNMEZ
    Karya Journal of Health Science.2022; 3(2): 145.     CrossRef
  • Carbohydrate Intake and Its Association With Dietary Acid Load in U.S. Adults: Results From a Cross-Sectional Study
    Maximilian A. Storz, Alvaro L. Ronco
    American Journal of Lifestyle Medicine.2022; : 155982762211332.     CrossRef
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    Maryam Mansordehghan, Elnaz Daneshzad, Vahid Basirat, Bahram Pourghassem Gargari, Tohid Rouzitalab
    Journal of Health, Population and Nutrition.2022;[Epub]     CrossRef
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    Zahra Aslani, Maryam Bahreynian, Nazli Namazi, Nitin Shivappa, James R. Hébert, Hamid Asayesh, Mohammad Esmaeil Motlagh, Mohammad Ali Pourmirzaei, Amir Kasaeian, Armita Mahdavi-Gorabi, Mostafa Qorbani, Roya Kelishadi
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    Alireza Jafari, Mahtab Ghanbari, Hossein Shahinfar, Nick Bellissimo, Leila Azadbakht
    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • Dietary Acid Load and Its Interaction with IGF1 (rs35767 and rs7136446) and IL6 (rs1800796) Polymorphisms on Metabolic Traits among Postmenopausal Women
    Sook Yee Lim, Yoke Mun Chan, Vasudevan Ramachandran, Zalilah Mohd Shariff, Yit Siew Chin, Manohar Arumugam
    Nutrients.2021; 13(7): 2161.     CrossRef
  • Associations between dietary acid load and obesity among Iranian women
    Somaye Fatahi, Mostafa Qorbani, Pamela J. Surkan, Leila Azadbakht
    Journal of Cardiovascular and Thoracic Research.2021; 13(4): 285.     CrossRef
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    Cancer Reports.2020;[Epub]     CrossRef
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    Parvin Dehghan, Mahdieh Abbasalizad Farhangi
    International Journal of Clinical Practice.2020;[Epub]     CrossRef
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    Kathleen E. Adair, Rodney G. Bowden
    Nutrients.2020; 12(4): 1007.     CrossRef
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    Kyung Won Lee, Dayeon Shin
    Nutrition Journal.2020;[Epub]     CrossRef
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    Joanna Ostrowska, Justyna Janiszewska, Dorota Szostak-Węgierek
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    Elnaz Daneshzad, Fahimeh Haghighatdoost, Leila Azadbakht
    Public Health Nutrition.2019; 22(15): 2823.     CrossRef
  • The Associations of Dietary Acid Load with Insulin Resistance and Type 2 Diabetes: A Systematic Review of Existing Human Studies
    Hadi Emamat, Hadith Tangestani, Zahra Bahadoran, Sajjad Khalili-Moghadam, Parvin Mirmiran
    Recent Patents on Food, Nutrition & Agriculture.2019; 10(1): 27.     CrossRef
  • Association of dietary acid load with cardiovascular risk factors and the prevalence of metabolic syndrome in Iranian women: A cross-sectional study
    Hadis Mozaffari, Nazli Namazi, Bagher Larijani, Nick Bellissimo, Leila Azadbakht
    Nutrition.2019; 67-68: 110570.     CrossRef
  • Higher dietary acid load potentially increases serum triglyceride and obesity prevalence in adults: An updated systematic review and meta-analysis
    Mahdieh Abbasalizad Farhangi, Leila Nikniaz, Zeinab Nikniaz, Raffaele Serra
    PLOS ONE.2019; 14(5): e0216547.     CrossRef
  • Dietary acid load significantly predicts 10-years survival in patients underwent coronary artery bypass grafting (CABG) surgery
    Mahdieh Abbasalizad Farhangi, Mahdi Vajdi, Mahdi Najafi, Raffaele Serra
    PLOS ONE.2019; 14(10): e0223830.     CrossRef
  • Higher dietary acid load is associated with higher likelihood of peripheral arterial disease among American adults
    Mohsen Mazidi, Dimitri P. Mikhailidis, Maciej Banach
    Journal of Diabetes and its Complications.2018; 32(6): 565.     CrossRef
  • Nutrition and Cardio-Metabolic Risk Factors: 20 Years of the Tehran Lipid and Glucose Study Findings
    Firoozeh Hosseini-Esfahani, Somaye Hosseinipour, Golaleh Asghari, Zahra Bahadoran, Nazanin Moslehi, Mahdieh Golzarand, Hanieh Ejtahed, Parvin Mirmiran, Fereidoun Azizi
    International Journal of Endocrinology and Metabolism.2018;[Epub]     CrossRef
  • Higher dietary acid load is weakly associated with higher adiposity measures and blood pressure in Japanese adults: The National Health and Nutrition Survey
    Kentaro Murakami, M. Barbara E. Livingstone, Hitomi Okubo, Satoshi Sasaki
    Nutrition Research.2017; 44: 67.     CrossRef
  • Accuracy and precision of estimation equations to predict net endogenous acid excretion using the Australian food database
    Benjamin H. Parmenter, Gary J. Slater, Lynda A. Frassetto
    Nutrition & Dietetics.2017; 74(3): 308.     CrossRef
  • Dietary acid load and mortality among Japanese men and women: the Japan Public Health Center–based Prospective Study
    Shamima Akter, Akiko Nanri, Tetsuya Mizoue, Mitsuhiko Noda, Norie Sawada, Shizuka Sasazuki, Shoichiro Tsugane
    The American Journal of Clinical Nutrition.2017; 106(1): 146.     CrossRef
  • Association between Dietary Acid Load and Insulin Resistance: Tehran Lipid and Glucose Study
    Sajjad Khalili Moghadam, Zahra Bahadoran, Parvin Mirmiran, Maryam Tohidi, Fereidoun Azizi
    Preventive Nutrition and Food Science.2016; 21(2): 104.     CrossRef
Close layer
Obesity and Metabolism
Sugar-Sweetened Beverage Consumption Is Associated with Metabolic Syndrome in Iranian Adults: Tehran Lipid and Glucose Study
Hanieh-Sadat Ejtahed, Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi
Endocrinol Metab. 2015;30(3):334-342.   Published online May 18, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.3.334
  • 3,947 View
  • 33 Download
  • 22 Web of Science
  • 23 Crossref
AbstractAbstract PDFPubReader   
Background

Metabolic syndrome (MetS), a cluster of multiple metabolic abnormalities, is one of the major public health challenges worldwide. The current study was conducted to evaluate the association between sugar-sweetened beverage (SSB) consumption and MetS and its components in Iranian adults.

Methods

This cross-sectional study was conducted among 5,852 men and women, aged 19 to 70 years, who participated in the fourth phase (2009 to 2011) of the Tehran Lipid and Glucose Study. Demographics, anthropometrics, biochemical measurements, and blood pressure (BP) were assessed and MetS was defined by National Cholesterol Education Program Adult Treatment Panel III definition. Frequency and quantity of SSB intakes including carbonated drinks and synthetic fruit juices were collected using a validated semiquantitative food frequency questionnaire.

Results

Mean age of participants (43%, men) was 40.6±12.9 years. Significant positive associations between SSBs and waist circumference, triglyceride level, systolic and diastolic BP in the third and fourth quartile of SSBs were observed, after adjustment for all potential confounding variables. The odds of MetS in the third and fourth quartiles compared to the first quartile category of SSBs was 1.21 (95% confidence interval [CI], 1.01 to 1.45) and 1.30 (95% CI, 1.06 to 1.58), respectively (P for trend=0.03). The odds of MetS, abdominal obesity, low high density lipoprotein cholesterol and elevated BP had increasing trends across increasing of SSB consumption (P for trend <0.05).

Conclusion

Higher intake of SSBs was associated with the higher odds of MetS in adults. It is suggested that reducing consumption of SSBs could be a practical approach to prevent metabolic abnormalities.

Citations

Citations to this article as recorded by  
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    Ainara Muñoz-Cabrejas, Pilar Guallar-Castillón, Martín Laclaustra, Helena Sandoval-Insausti, Belén Moreno-Franco
    Nutrients.2023; 15(2): 430.     CrossRef
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  • The Association between the Consumption of Sugar-Sweetened Beverages and Metabolic Syndrome Components in Young Rural Adults in South Africa
    Mohlago Ablonia Seloka, Moloko Matshipi, Peter Modupi Mphekgwana, Kotsedi Daniel Monyeki
    Applied Sciences.2022; 12(6): 3015.     CrossRef
  • A comparison between body mass index and waist circumference for identifying continuous metabolic syndrome risk score components in Iranian school-aged children using a structural equation modeling approach: the CASPIAN-V study
    Hanieh-Sadat Ejtahed, Zohreh Mahmoodi, Mostafa Qorbani, Pooneh Angoorani, Mohammad Esmaeil Motlagh, Shirin Hasani-Ranjbar, Hasan Ziaodini, Majzoubeh Taheri, Ramin Heshmat, Roya Kelishadi
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  • Dietary Intake and Health Status of Elderly Patients With Type 2 Diabetes Mellitus: Cross-sectional Study Using a Mobile App in Primary Care
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    Danielle Cristina Guimarães da Silva, Wellington Segheto, Fernanda Cristina da Silva Amaral, Nínive de Almeida Reis, Ghéssica Santana Silva Veloso, Milene Cristine Pessoa, Juliana Farias de Novaes, Giana Zarbato Longo
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Close layer
Obesity and Metabolism
Helicobacter pylori Stool Antigen Levels and Serological Biomarkers of Gastric Inflammation are Associated with Cardio-Metabolic Risk Factors in Type 2 Diabetic Patients
Zahra Bahadoran, Parvin Mirmiran, Maryam Zarif-yeaganeh, Homayoun Zojaji, Fereidoun Azizi
Endocrinol Metab. 2015;30(3):280-287.   Published online May 18, 2015
DOI: https://doi.org/10.3803/EnM.2015.30.3.280
  • 3,290 View
  • 30 Download
  • 5 Web of Science
  • 4 Crossref
AbstractAbstract PDFPubReader   
Background

Helicobacter pylori infection and subsequent gastric inflammation have been proposed as risk factors for the development of insulin resistance and cardiovascular disease. In this study we assessed the possible association of H. pylori bacterial load, and serum biomarker of gastric inflammation with cardiometabolic risk factors in diabetic patients.

Methods

In this cross-sectional study, 84 H. pylori-infected type 2 diabetic patients were assessed for anthropometrics, biochemical and clinical measurements. Pearson correlation test, linear, and logarithmic regression curve estimation models were used to assess the association of H. pylori stool antigen (HpSAg) levels, and pepsinogen I (PGI) to pepsinogen II (PGII) ratio with fasting serum glucose, insulin, serum lipid and lipoprotein parameters, malondialdehyde, high-sensitive C-reactive protein (hs-CRP), systolic and diastolic blood pressure, body weight, waist circumference and lipid accumulation product (LAP) index.

Results

The mean age of participants was 54±10 years, and 44% were men. Mean HpSAg levels and PGI/PGII ratio were 0.24±0.23 µg/mL and 9.9±9.0, respectively. Higher HpSAg as well as lower PGI/PGII was correlated with higher anthropometric measures and LAP. A significant negative correlation between PGI/PGII ratio and blood pressure (r=-0.21 and r=-0.22, systolic and diastolic, respectively, P<0.05), serum insulin (r=-0.17, P=0.05), and hs-CRP (r=-0.17, P=0.05) was observed. A significant linear association between PGI/PGII ratio with serum triglycerides (β=-0.24, P<0.05), serum high density lipoprotein cholesterol (HDL-C; β=0.43, P<0.01), and triglycerides/HDL-C ratio (β=-0.28, P<0.05) were observed.

Conclusion

Higher H. pylori bacterial load and lower PGI/PGII ratio was associated with higher levels of cardiometabolic risk factors in H. pylori infected type 2 diabetic patients.

Citations

Citations to this article as recorded by  
  • Both diet and Helicobacter pylori infection contribute to atherosclerosis in pre- and postmenopausal cynomolgus monkeys
    Traci L. Testerman, Cristina Semino-Mora, Jennifer A. Cann, Beidi Qiang, Edsel A. Peña, Hui Liu, Cara H. Olsen, Haiying Chen, Susan E. Appt, Jay R. Kaplan, Thomas C. Register, D. Scott Merrell, Andre Dubois, Xianwu Cheng
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    Saeda Haj, Gabriel Chodick, Rotem Refaeli, Sophy Goren, Varda Shalev, Khitam Muhsen, David M. Ojcius
    PLOS ONE.2017; 12(8): e0183687.     CrossRef
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    Mohamed Hasan Mukhtar, Wesam Ahmed Nasif, Abdullatif Taha Babakr
    Journal of Diabetes Mellitus.2016; 06(03): 185.     CrossRef
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    Zhao-Chun Chi
    World Chinese Journal of Digestology.2016; 24(16): 2454.     CrossRef
Close layer
Obesity and Metabolism
Lipid Accumulation Product Is Associated with Insulin Resistance, Lipid Peroxidation, and Systemic Inflammation in Type 2 Diabetic Patients
Parvin Mirmiran, Zahra Bahadoran, Fereidoun Azizi
Endocrinol Metab. 2014;29(4):443-449.   Published online December 29, 2014
DOI: https://doi.org/10.3803/EnM.2014.29.4.443
  • 4,168 View
  • 42 Download
  • 45 Web of Science
  • 44 Crossref
AbstractAbstract PDFPubReader   
Background

Lipid accumulation product (LAP) is a novel biomarker of central lipid accumulation related to risk of diabetes and cardiovascular disease. In this study, we assessed the association of LAP with glucose homeostasis, lipid and lipid peroxidation, and subclinical systemic inflammation in diabetic patients.

Methods

Thirty-nine male and 47 female type 2 diabetic patients were assessed for anthropometrics and biochemical measurements. LAP was calculated as [waist circumference (cm)-65]×[triglycerides (mmol/L)] in men, and [waist circumference (cm)-58]×[triglycerides (mmol/L)] in women. Associations of LAP with fasting glucose, insulin, insulin resistance index, lipid and lipoprotein levels, malondialdehyde, and high-sensitive C-reactive protein (hs-CRP) were assessed.

Results

Mean age and LAP index were 53.6±9.6 and 51.9±31.2 years, respectively. After adjustments for age, sex and body mass index status, a significant positive correlation was observed between LAP index and fasting glucose (r=0.39, P<0.001), and homeostasis model assessment of insulin resistance (r=0.31, P<0.05). After additional adjustment for fasting glucose levels, antidiabetic and antilipidemic drugs, the LAP index was also correlated to total cholesterol (r=0.45, P<0.001), high density lipoprotein cholesterol (HDL-C) levels (r=-0.29, P<0.05), triglycerides to HDL-C ratio (r=0.89, P<0.001), malondialdehyde (r=0.65, P<0.001), and hs-CRP levels (r=0.27, P<0.05).

Conclusion

Higher central lipid accumulation in diabetic patients was related to higher insulin resistance, oxidative stress and systemic inflammation.

Citations

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