Skip to main content
Top
Published in: BMC Endocrine Disorders 1/2023

Open Access 01-12-2023 | Obesity | Research

Dietary energy density, metabolic parameters, and blood pressure in a sample of adults with obesity

Authors: Mohammad-Sadegh Pour-Abbasi, Negin Nikrad, Mahdieh Abbasalizad Farhangi, Sahar Vahdat, Faria Jafarzadeh

Published in: BMC Endocrine Disorders | Issue 1/2023

Login to get access

Abstract

Background

Several previous studies revealed the role of dietary energy density (DED) in developing obesity and related disorders. However, the possible role of DED in triggering cardiometabolic risk factors of individuals with obesity has not been studied yet. This study aimed to evaluate the association between DED and anthropometric parameters, blood pressure, and components of metabolic syndrome (MetS) (such as glycemic markers, lipid profile, and blood pressure) among individuals with obesity.

Methods

In this cross-sectional study, we included 335 adults with obesity (BMI ≥ 30 kg/m2) aged 20–50 years in Tabriz and Tehran, Iran. Dietary intake was assessed by a validated semi-quantitative Food Frequency Questionnaire (FFQ), including 168 food items; then, DED was calculated. MetS was defined based on the guidelines of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III). Enzymatic methods were used to assess serum lipids, glucose, and insulin concentrations. Blood pressure was measured by sphygmomanometer and body composition by bioelectrical impedance analysis (BIA).

Results

Participants in the higher tertiles of DED had more intake of carbohydrate, dietary fat, saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), and meat, fish, poultry (MFP). Increasing the DED in both methods had no association with systolic blood pressure (SBP), fasting blood sugar (FBS), low-density lipoprotein cholesterol (LDL-C), insulin, triglyceride (TG), and homeostatic model assessment of insulin resistance (HOMA-IR) even after adjustment for confounders. However, diastolic blood pressure (DBP) decreased in second tertile of DED I (β = 0.921, P = 0.004). The quantitative insulin-sensitivity check index (QUICKI) in second tertile of both DED methods had significant positive association with DED. In the second tertile of DED II, while total cholesterol (TC) significantly decreased (P crude = 0.036, P adjusted = 0.024), high-density lipoprotein cholesterol (HDL-C) increased (β = 1.096, p = 0.03). There was no significant changes in biochemical parameters in third tertile of DED I and II even after adjustment for covariates. Also, higher tertiles of DED was associated with reduced prevalence of MetS.

Conclusion

High DED was associated with lower levels of blood pressure and TC but elevated levels of HDL and QUICKI independent of such confounders as age, BMI, sex, and physical activity. Further longitudinal studies are warranted to better elucidate casual associations.
Literature
1.
go back to reference James PT, Rigby N, Leach R, Force IOT. The obesity epidemic, metabolic syndrome and future prevention strategies. Eur J Prev Cardiol. 2004;11(1):3–8.CrossRef James PT, Rigby N, Leach R, Force IOT. The obesity epidemic, metabolic syndrome and future prevention strategies. Eur J Prev Cardiol. 2004;11(1):3–8.CrossRef
2.
go back to reference Van Gaal LF, Mertens IL, Christophe E. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444(7121):875–80.CrossRef Van Gaal LF, Mertens IL, Christophe E. Mechanisms linking obesity with cardiovascular disease. Nature. 2006;444(7121):875–80.CrossRef
3.
go back to reference Lega IC, Lipscombe LL. Diabetes, obesity, and cancer—pathophysiology and clinical implications. Endocr Rev. 2020;41(1):33–52.CrossRef Lega IC, Lipscombe LL. Diabetes, obesity, and cancer—pathophysiology and clinical implications. Endocr Rev. 2020;41(1):33–52.CrossRef
5.
go back to reference Popkin BM. The nutrition transition and obesity in the developing world. J Nutr. 2001;131(3):871S-S873.CrossRef Popkin BM. The nutrition transition and obesity in the developing world. J Nutr. 2001;131(3):871S-S873.CrossRef
6.
go back to reference Jafari-Adli Sh, Jouyandeh Z, Qorbani M, Soroush A, Larijani B, Hasani-Ranjbar S. Prevalence of obesity and overweight in adults and children in Iran; a systematic review. J Diabetes Metab Disord. 2014;13:121–7.CrossRef Jafari-Adli Sh, Jouyandeh Z, Qorbani M, Soroush A, Larijani B, Hasani-Ranjbar S. Prevalence of obesity and overweight in adults and children in Iran; a systematic review. J Diabetes Metab Disord. 2014;13:121–7.CrossRef
7.
go back to reference Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365(9468):1415–28.CrossRef Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365(9468):1415–28.CrossRef
8.
go back to reference Johansson K, Neovius M, Hemmingsson E. Effects of anti-obesity drugs, diet, and exercise on weight-loss maintenance after a very-low-calorie diet or low-calorie diet: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr. 2014;99(1):14–23.CrossRef Johansson K, Neovius M, Hemmingsson E. Effects of anti-obesity drugs, diet, and exercise on weight-loss maintenance after a very-low-calorie diet or low-calorie diet: a systematic review and meta-analysis of randomized controlled trials. Am J Clin Nutr. 2014;99(1):14–23.CrossRef
9.
go back to reference Backus R, Wara A. Development of obesity: mechanisms and physiology. Vet Clin Small Anim Pract. 2016;46(5):773–84.CrossRef Backus R, Wara A. Development of obesity: mechanisms and physiology. Vet Clin Small Anim Pract. 2016;46(5):773–84.CrossRef
10.
go back to reference Picklo MJ, Thyfault JP. Vitamin E and vitamin C do not reduce insulin sensitivity but inhibit mitochondrial protein expression in exercising obese rats. Appl Physiol Nutr Metab. 2015;40(4):343–52.CrossRef Picklo MJ, Thyfault JP. Vitamin E and vitamin C do not reduce insulin sensitivity but inhibit mitochondrial protein expression in exercising obese rats. Appl Physiol Nutr Metab. 2015;40(4):343–52.CrossRef
11.
go back to reference Brock K, Huang W-Y, Fraser D, Ke L, Tseng M, Stolzenberg-Solomon R, et al. Low vitamin D status is associated with physical inactivity, obesity and low vitamin D intake in a large US sample of healthy middle-aged men and women. J Steroid Biochem Mol Biol. 2010;121(1–2):462–6.CrossRef Brock K, Huang W-Y, Fraser D, Ke L, Tseng M, Stolzenberg-Solomon R, et al. Low vitamin D status is associated with physical inactivity, obesity and low vitamin D intake in a large US sample of healthy middle-aged men and women. J Steroid Biochem Mol Biol. 2010;121(1–2):462–6.CrossRef
12.
go back to reference Lu L, Chen C, Yang K, Zhu J, Xun P, Shikany JM, et al. Magnesium intake is inversely associated with risk of obesity in a 30-year prospective follow-up study among American young adults. Eur J Nutr. 2020;59(8):3745–53. Lu L, Chen C, Yang K, Zhu J, Xun P, Shikany JM, et al. Magnesium intake is inversely associated with risk of obesity in a 30-year prospective follow-up study among American young adults. Eur J Nutr. 2020;59(8):3745–53.
13.
go back to reference Paradis A-M, Godin G, Pérusse L, Vohl M-C. Associations between dietary patterns and obesity phenotypes. Int J Obes. 2009;33(12):1419–26.CrossRef Paradis A-M, Godin G, Pérusse L, Vohl M-C. Associations between dietary patterns and obesity phenotypes. Int J Obes. 2009;33(12):1419–26.CrossRef
14.
go back to reference Song Y, Park MJ, Paik H-Y, Joung H. Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10–19 years. Int J Obes. 2010;34(1):48–56.CrossRef Song Y, Park MJ, Paik H-Y, Joung H. Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10–19 years. Int J Obes. 2010;34(1):48–56.CrossRef
15.
go back to reference Ludwig DS. Dietary glycemic index and obesity. J Nutr. 2000;130(2):280S-S283.CrossRef Ludwig DS. Dietary glycemic index and obesity. J Nutr. 2000;130(2):280S-S283.CrossRef
16.
go back to reference Ruiz-Canela M, Zazpe I, Shivappa N, Hébert JR, Sánchez-Tainta A, Corella D, et al. Dietary inflammatory index and anthropometric measures of obesity in a population sample at high cardiovascular risk from the PREDIMED (PREvencion con DIeta MEDiterranea) trial. Br J Nutr. 2015;113(6):984–95.CrossRef Ruiz-Canela M, Zazpe I, Shivappa N, Hébert JR, Sánchez-Tainta A, Corella D, et al. Dietary inflammatory index and anthropometric measures of obesity in a population sample at high cardiovascular risk from the PREDIMED (PREvencion con DIeta MEDiterranea) trial. Br J Nutr. 2015;113(6):984–95.CrossRef
17.
go back to reference Arango-Angarita A, Rodríguez-Ramírez S, Serra-Majem L, Shamah-Levy T. Dietary energy density and its association with overweight or obesity in adolescents: a systematic review of observational studies. Nutrients. 2018;10(11):1612.CrossRef Arango-Angarita A, Rodríguez-Ramírez S, Serra-Majem L, Shamah-Levy T. Dietary energy density and its association with overweight or obesity in adolescents: a systematic review of observational studies. Nutrients. 2018;10(11):1612.CrossRef
18.
go back to reference Sasaki KM, Wada K, Zeredo JLL, Nagata C. Prospective study of dietary energy density and weight gain in a Japanese adult population. Br J Nutr. 2017;117(6):822–8.CrossRef Sasaki KM, Wada K, Zeredo JLL, Nagata C. Prospective study of dietary energy density and weight gain in a Japanese adult population. Br J Nutr. 2017;117(6):822–8.CrossRef
19.
go back to reference Rasaei N, Sajjadi F, Mirzababaei A, Pooyan S, Rashidbeygi E, Yekaninejad S, et al. Association of dietary energy density with adiposity index, resting metabolic rate, and respiratory quotient in overweight and obese women. Iran J Endocrinol Metab. 2019;20(5):235–45. Rasaei N, Sajjadi F, Mirzababaei A, Pooyan S, Rashidbeygi E, Yekaninejad S, et al. Association of dietary energy density with adiposity index, resting metabolic rate, and respiratory quotient in overweight and obese women. Iran J Endocrinol Metab. 2019;20(5):235–45.
20.
go back to reference Alexy U, Sichert-Hellert W, Kersting M, Schultze-Pawlitschko V. Pattern of long-term fat intake and BMI during childhood and adolescence results of the DONALD study. Int J Obes Relat Metab Disord. 2004;28:1203–9.CrossRef Alexy U, Sichert-Hellert W, Kersting M, Schultze-Pawlitschko V. Pattern of long-term fat intake and BMI during childhood and adolescence results of the DONALD study. Int J Obes Relat Metab Disord. 2004;28:1203–9.CrossRef
21.
go back to reference Ambrosini GL, Emmett PM, Northstone K, Howe LD, Tilling K, Jebb SA. Identification of a dietary pattern prospectively associated with increased adiposity during childhood and adolescence. Int J Obes. 2012;36:1299–305.CrossRef Ambrosini GL, Emmett PM, Northstone K, Howe LD, Tilling K, Jebb SA. Identification of a dietary pattern prospectively associated with increased adiposity during childhood and adolescence. Int J Obes. 2012;36:1299–305.CrossRef
22.
go back to reference Takeda Y, Fujihara K, Nedachi R, Ikeda I, Morikawa SY, Hatta M, et al. Comparing associations of dietary energy density and energy intake, macronutrients with obesity in patients with type 2 diabetes (JDDM 63). Nutrients. 2021;13(9):3167.CrossRef Takeda Y, Fujihara K, Nedachi R, Ikeda I, Morikawa SY, Hatta M, et al. Comparing associations of dietary energy density and energy intake, macronutrients with obesity in patients with type 2 diabetes (JDDM 63). Nutrients. 2021;13(9):3167.CrossRef
23.
go back to reference Mahdavi R, Nikniaz L, Arefhosseini S. Energy, fluids intake and beverages consumption pattern among lactating women in Tabriz. Iran Pakistan J Nutr. 2009;8(1):69–73.CrossRef Mahdavi R, Nikniaz L, Arefhosseini S. Energy, fluids intake and beverages consumption pattern among lactating women in Tabriz. Iran Pakistan J Nutr. 2009;8(1):69–73.CrossRef
24.
go back to reference Balaghi S, Faramarzi E, Mahdavi R, Ghaemmaghami J. Fluids intake and beverage consumption pattern among university students. Health Promot Perspect. 2011;1(1):54. Balaghi S, Faramarzi E, Mahdavi R, Ghaemmaghami J. Fluids intake and beverage consumption pattern among university students. Health Promot Perspect. 2011;1(1):54.
25.
go back to reference Rouhani MH, Haghighatdoost F, Surkan PJ, Azadbakht L. Associations between dietary energy density and obesity: a systematic review and meta-analysis of observational studies. Nutrition. 2016;32(10):1037–47.CrossRef Rouhani MH, Haghighatdoost F, Surkan PJ, Azadbakht L. Associations between dietary energy density and obesity: a systematic review and meta-analysis of observational studies. Nutrition. 2016;32(10):1037–47.CrossRef
26.
go back to reference Esmaillzadeh A, Azadbakht L. Dietary energy density and the metabolic syndrome among Iranian women. Eur J Clin Nutr. 2011;65(5):598–605.CrossRef Esmaillzadeh A, Azadbakht L. Dietary energy density and the metabolic syndrome among Iranian women. Eur J Clin Nutr. 2011;65(5):598–605.CrossRef
27.
go back to reference Cedillo YE, Garr-Barry V, Maciel B, Fernández JR. Dietary energy–density and adiposity markers among a cohort of multi-ethnic children. Matern Child Health J. 2019;23(11):1536–46.CrossRef Cedillo YE, Garr-Barry V, Maciel B, Fernández JR. Dietary energy–density and adiposity markers among a cohort of multi-ethnic children. Matern Child Health J. 2019;23(11):1536–46.CrossRef
28.
go back to reference Vernarelli J, DiSarro R. Eat better, run longer? Dietary energy density is associated with cardiovascular fitness level in a nationally representative sample of adolescents (P16–030–19). Curr Dev Nutri. 2019;3(1):050 P16–30–1. Vernarelli J, DiSarro R. Eat better, run longer? Dietary energy density is associated with cardiovascular fitness level in a nationally representative sample of adolescents (P16–030–19). Curr Dev Nutri. 2019;3(1):050 P16–30–1.
29.
go back to reference Maddahi NS, Yarizadeh H, Setayesh L, Nasir Y, Alizadeh S, Mirzaei K. Association between dietary energy density with mental health and sleep quality in women with overweight/obesity. BMC Res Notes. 2020;13(1):1–6.CrossRef Maddahi NS, Yarizadeh H, Setayesh L, Nasir Y, Alizadeh S, Mirzaei K. Association between dietary energy density with mental health and sleep quality in women with overweight/obesity. BMC Res Notes. 2020;13(1):1–6.CrossRef
30.
go back to reference Shahinfar H, Safabakhsh M, Mansouri S, Djafarian K, Clark CC, Shab-Bidar S. Association of dietary energy density with cardiometabolic risk factors and metabolic syndrome in Tehranian older adults. J Cardiovasc Thorac Res. 2020;12(2):97.CrossRef Shahinfar H, Safabakhsh M, Mansouri S, Djafarian K, Clark CC, Shab-Bidar S. Association of dietary energy density with cardiometabolic risk factors and metabolic syndrome in Tehranian older adults. J Cardiovasc Thorac Res. 2020;12(2):97.CrossRef
31.
go back to reference Mendoza JA, Drewnowski A, Christakis DA. Dietary energy density is associated with obesity and the metabolic syndrome in US adults. Diabetes Care. 2007;30(4):974–9.CrossRef Mendoza JA, Drewnowski A, Christakis DA. Dietary energy density is associated with obesity and the metabolic syndrome in US adults. Diabetes Care. 2007;30(4):974–9.CrossRef
32.
go back to reference Rezazadeh A, Omidvar N, Eini-Zinab H, Ghazi-Tabatabaie M, Majdzadeh R, Ghavamzadeh S, et al. Major dietary patterns in relation to demographic and socio-economic status and food insecurity in two Iranian ethnic groups living in Urmia. Iran Public health nutrition. 2016;19(18):3337–48.CrossRef Rezazadeh A, Omidvar N, Eini-Zinab H, Ghazi-Tabatabaie M, Majdzadeh R, Ghavamzadeh S, et al. Major dietary patterns in relation to demographic and socio-economic status and food insecurity in two Iranian ethnic groups living in Urmia. Iran Public health nutrition. 2016;19(18):3337–48.CrossRef
33.
go back to reference Mirmiran P, Bahadoran Z, Delshad H, Azizi F. Effects of energy-dense nutrient-poor snacks on the incidence of metabolic syndrome: a prospective approach in Tehran lipid and glucose study. Nutrition. 2014;30(5):538–43.CrossRef Mirmiran P, Bahadoran Z, Delshad H, Azizi F. Effects of energy-dense nutrient-poor snacks on the incidence of metabolic syndrome: a prospective approach in Tehran lipid and glucose study. Nutrition. 2014;30(5):538–43.CrossRef
34.
go back to reference Bahadoran Z, Mirmiran P, Golzarand M, Hosseini-Esfahani F, Azizi F. Fast food consumption in Iranian adults; dietary intake and cardiovascular risk factors: Tehran lipid and glucose study. Arch Iran Med. 2012;15(6):346. Bahadoran Z, Mirmiran P, Golzarand M, Hosseini-Esfahani F, Azizi F. Fast food consumption in Iranian adults; dietary intake and cardiovascular risk factors: Tehran lipid and glucose study. Arch Iran Med. 2012;15(6):346.
35.
go back to reference Howarth NC, Murphy SP, Wilkens LR, Hankin JH, Kolonel LN. Dietary energy density is associated with overweight status among 5 ethnic groups in the multiethnic cohort study. J Nutr. 2006;136(8):2243–8.CrossRef Howarth NC, Murphy SP, Wilkens LR, Hankin JH, Kolonel LN. Dietary energy density is associated with overweight status among 5 ethnic groups in the multiethnic cohort study. J Nutr. 2006;136(8):2243–8.CrossRef
36.
go back to reference Abbasalizad Farhangi M, Vajdi M, Nikniaz L, Nikniaz Z. The interaction between dietary inflammatory index and 6 P21 rs2010963 gene variants in metabolic syndrome. Eat and Weight Disord. 2020;25(4):1049–60.CrossRef Abbasalizad Farhangi M, Vajdi M, Nikniaz L, Nikniaz Z. The interaction between dietary inflammatory index and 6 P21 rs2010963 gene variants in metabolic syndrome. Eat and Weight Disord. 2020;25(4):1049–60.CrossRef
37.
go back to reference Khodarahmi M, Asghari-Jafarabadi M, Abbasalizad FM. A structural equation modeling approach for the association of a healthy eating index with metabolic syndrome and cardio-metabolic risk factors among obese individuals. PLoS ONE. 2019;14(7): e0219193.CrossRef Khodarahmi M, Asghari-Jafarabadi M, Abbasalizad FM. A structural equation modeling approach for the association of a healthy eating index with metabolic syndrome and cardio-metabolic risk factors among obese individuals. PLoS ONE. 2019;14(7): e0219193.CrossRef
39.
go back to reference Esteghamati A, Ashraf H, Rashidi A, Meysamie A. Waist circumference cut-off points for the diagnosis of metabolic syndrome in Iranian adults. Diabetes Res Clin Pract. 2008;82(1):104–7.CrossRef Esteghamati A, Ashraf H, Rashidi A, Meysamie A. Waist circumference cut-off points for the diagnosis of metabolic syndrome in Iranian adults. Diabetes Res Clin Pract. 2008;82(1):104–7.CrossRef
40.
go back to reference Washburn RA. Assessment of physical activity in older adults. Res Q Exerc Sport. 2000;71(sup2):79–87.CrossRef Washburn RA. Assessment of physical activity in older adults. Res Q Exerc Sport. 2000;71(sup2):79–87.CrossRef
41.
go back to reference Flint A, Raben A, Blundell J, Astrup A. Reproducibility, power and validity of visual analogue scales in assessment of appetite sensations in single test meal studies. Int J Obes. 2000;24(1):38–48.CrossRef Flint A, Raben A, Blundell J, Astrup A. Reproducibility, power and validity of visual analogue scales in assessment of appetite sensations in single test meal studies. Int J Obes. 2000;24(1):38–48.CrossRef
42.
go back to reference Vasheghani-Farahani A, Tahmasbi M, Asheri H, Ashraf H, Nedjat S, Kordi R. The Persian, last 7-day, long form of the international physical activity questionnaire: translation and validation study. Asian J Sports Med. 2011;2(2):106–16.CrossRef Vasheghani-Farahani A, Tahmasbi M, Asheri H, Ashraf H, Nedjat S, Kordi R. The Persian, last 7-day, long form of the international physical activity questionnaire: translation and validation study. Asian J Sports Med. 2011;2(2):106–16.CrossRef
43.
go back to reference Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA. Diagnosis and management of the metabolic syndrome: an American heart association/national heart, lung, and blood institute scientific statement. Circulation. 2005;112:2735–52.CrossRef Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA. Diagnosis and management of the metabolic syndrome: an American heart association/national heart, lung, and blood institute scientific statement. Circulation. 2005;112:2735–52.CrossRef
44.
go back to reference Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2010;13(5):654–62.CrossRef Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2010;13(5):654–62.CrossRef
45.
go back to reference Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2010;13(5):654–62.CrossRef Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2010;13(5):654–62.CrossRef
46.
go back to reference Bazshahi E, Pourreza S, Imani H, Azadbakht L, Ebaditabar M, Davarzani S, et al. The association of dietary energy density and body composition components in a sample of Iranian adults. Front Nutri. 2021;8:751148.CrossRef Bazshahi E, Pourreza S, Imani H, Azadbakht L, Ebaditabar M, Davarzani S, et al. The association of dietary energy density and body composition components in a sample of Iranian adults. Front Nutri. 2021;8:751148.CrossRef
47.
go back to reference Sampson M, Ling C, Sun Q, Harb R, Ashmaig M, Warnick R, et al. A new equation for calculation of low-density lipoprotein cholesterol in patients with normolipidemia and/or hypertriglyceridemia. JAMA Cardiol. 2020;5(5):540–8.CrossRef Sampson M, Ling C, Sun Q, Harb R, Ashmaig M, Warnick R, et al. A new equation for calculation of low-density lipoprotein cholesterol in patients with normolipidemia and/or hypertriglyceridemia. JAMA Cardiol. 2020;5(5):540–8.CrossRef
48.
go back to reference Vernarelli JA, Mitchell DC, Rolls BJ, Hartman TJ. Methods for calculating dietary energy density in a nationally representative sample. Procedia Food Sci. 2013;2:68–74.CrossRef Vernarelli JA, Mitchell DC, Rolls BJ, Hartman TJ. Methods for calculating dietary energy density in a nationally representative sample. Procedia Food Sci. 2013;2:68–74.CrossRef
49.
go back to reference Balaghi S, Faramarzi E, Mahdavi R, Ghaemmaghami J. Fluids intake and beverage consumption pattern among university students. Health Promot Perspect. 2012;1(1):54–61. Balaghi S, Faramarzi E, Mahdavi R, Ghaemmaghami J. Fluids intake and beverage consumption pattern among university students. Health Promot Perspect. 2012;1(1):54–61.
50.
go back to reference Yazdekhasti N, Mohammadifard N, Sarrafzadegan N, Mozaffarian D, Nazem M, Taheri M. The relationship between nut consumption and blood pressure in an Iranian adult population: Isfahan healthy heart program. Nutr Metab Cardiovasc Dis. 2013;23(10):929–36.CrossRef Yazdekhasti N, Mohammadifard N, Sarrafzadegan N, Mozaffarian D, Nazem M, Taheri M. The relationship between nut consumption and blood pressure in an Iranian adult population: Isfahan healthy heart program. Nutr Metab Cardiovasc Dis. 2013;23(10):929–36.CrossRef
51.
go back to reference Mohammadifard N, Salehi-Abargouei A, Salas-Salvadó J, Guasch-Ferré M, Humphries K, Sarrafzadegan N. The effect of tree nut, peanut, and soy nut consumption on blood pressure: a systematic review and meta-analysis of randomized controlled clinical trials. Am J Clin Nutr. 2015;101(5):966–82.CrossRef Mohammadifard N, Salehi-Abargouei A, Salas-Salvadó J, Guasch-Ferré M, Humphries K, Sarrafzadegan N. The effect of tree nut, peanut, and soy nut consumption on blood pressure: a systematic review and meta-analysis of randomized controlled clinical trials. Am J Clin Nutr. 2015;101(5):966–82.CrossRef
52.
go back to reference Jenkins DJ, Kendall CW, Marchie A, Parker TL, Connelly PW, Qian W, et al. Dose response of almonds on coronary heart disease risk factors: blood lipids, oxidized low-density lipoproteins, lipoprotein (a), homocysteine, and pulmonary nitric oxide: a randomized, controlled, crossover trial. Circulation. 2002;106(11):1327–32.CrossRef Jenkins DJ, Kendall CW, Marchie A, Parker TL, Connelly PW, Qian W, et al. Dose response of almonds on coronary heart disease risk factors: blood lipids, oxidized low-density lipoproteins, lipoprotein (a), homocysteine, and pulmonary nitric oxide: a randomized, controlled, crossover trial. Circulation. 2002;106(11):1327–32.CrossRef
53.
go back to reference Surette M, Whelan J, Broughton K, Kinsella J. Evidence for mechanisms of the hypotriglyceridemic effect of n− 3 polyunsaturated fatty acids. Biochim et Biophys. 1992;1126(2):199–205.CrossRef Surette M, Whelan J, Broughton K, Kinsella J. Evidence for mechanisms of the hypotriglyceridemic effect of n− 3 polyunsaturated fatty acids. Biochim et Biophys. 1992;1126(2):199–205.CrossRef
54.
go back to reference Clarke SD. Polyunsaturated fatty acid regulation of gene transcription: a molecular mechanism to improve the metabolic syndrome. J Nutr. 2001;131(4):1129–32.CrossRef Clarke SD. Polyunsaturated fatty acid regulation of gene transcription: a molecular mechanism to improve the metabolic syndrome. J Nutr. 2001;131(4):1129–32.CrossRef
55.
go back to reference Azadbakht L, Haghighatdoost F, Keshteli AH, Larijani B, Esmaillzadeh A. Consumption of energy-dense diets in relation to metabolic syndrome and inflammatory markers in Iranian female nurses. Public Health Nutr. 2017;20(5):893–901.CrossRef Azadbakht L, Haghighatdoost F, Keshteli AH, Larijani B, Esmaillzadeh A. Consumption of energy-dense diets in relation to metabolic syndrome and inflammatory markers in Iranian female nurses. Public Health Nutr. 2017;20(5):893–901.CrossRef
56.
go back to reference Murakami K, Sasaki S, Takahashi Y, Uenishi K, for Nutrition JDSS, Group B. Dietary energy density is associated with body mass index and waist circumference, but not with other metabolic risk factors, in free-living young Japanese women. Nutrition. 2007;23(11–12):798–806.CrossRef Murakami K, Sasaki S, Takahashi Y, Uenishi K, for Nutrition JDSS, Group B. Dietary energy density is associated with body mass index and waist circumference, but not with other metabolic risk factors, in free-living young Japanese women. Nutrition. 2007;23(11–12):798–806.CrossRef
57.
go back to reference Du H, van der A DL, Ginder V, Jebb SA, Forouhi NG, Wareham NJ, et al. Dietary energy density in relation to subsequent changes of weight and waist circumference in European men and women. PLoS On. 2009;4(4):e5339.CrossRef Du H, van der A DL, Ginder V, Jebb SA, Forouhi NG, Wareham NJ, et al. Dietary energy density in relation to subsequent changes of weight and waist circumference in European men and women. PLoS On. 2009;4(4):e5339.CrossRef
58.
go back to reference Kring SII, Heitmann BL. Fiber intake, not dietary energy density, is associated with subsequent change in BMI z-score among sub-groups of children. Obes Facts. 2008;1(6):331–8.CrossRef Kring SII, Heitmann BL. Fiber intake, not dietary energy density, is associated with subsequent change in BMI z-score among sub-groups of children. Obes Facts. 2008;1(6):331–8.CrossRef
59.
go back to reference Zhou X, Xue H, Duan R, Liu Y, Zhang L, Harvey L, et al. The cross-sectional association of energy intake and dietary energy density with body composition of children in Southwest China. Nutrients. 2015;7(7):5396–412.CrossRef Zhou X, Xue H, Duan R, Liu Y, Zhang L, Harvey L, et al. The cross-sectional association of energy intake and dietary energy density with body composition of children in Southwest China. Nutrients. 2015;7(7):5396–412.CrossRef
60.
go back to reference Alexy U, Sichert-Hellert W, Kersting M, Schultze-Pawlitschko V. Pattern of long-term fat intake and BMI during childhood and adolescence—results of the DONALD study. Int J Obes. 2004;28(10):1203–9.CrossRef Alexy U, Sichert-Hellert W, Kersting M, Schultze-Pawlitschko V. Pattern of long-term fat intake and BMI during childhood and adolescence—results of the DONALD study. Int J Obes. 2004;28(10):1203–9.CrossRef
61.
go back to reference Ambrosini G, Emmett P, Northstone K, Howe L, Tilling K, Jebb S. Identification of a dietary pattern prospectively associated with increased adiposity during childhood and adolescence. Int J Obes. 2012;36(10):1299–305.CrossRef Ambrosini G, Emmett P, Northstone K, Howe L, Tilling K, Jebb S. Identification of a dietary pattern prospectively associated with increased adiposity during childhood and adolescence. Int J Obes. 2012;36(10):1299–305.CrossRef
62.
go back to reference Schröder H, Mendez MA, Gomez SF, Fíto M, Ribas L, Aranceta J, et al. Energy density, diet quality, and central body fat in a nationwide survey of young Spaniards. Nutrition. 2013;29(11–12):1350–5.CrossRef Schröder H, Mendez MA, Gomez SF, Fíto M, Ribas L, Aranceta J, et al. Energy density, diet quality, and central body fat in a nationwide survey of young Spaniards. Nutrition. 2013;29(11–12):1350–5.CrossRef
63.
go back to reference Chowdhury EA, Richardson JD, Tsintzas K, Thompson D, Betts JA. Postprandial metabolism and appetite do not differ between lean adults that eat breakfast or morning fast for 6 weeks. J Nutr. 2018;148(1):13–21.CrossRef Chowdhury EA, Richardson JD, Tsintzas K, Thompson D, Betts JA. Postprandial metabolism and appetite do not differ between lean adults that eat breakfast or morning fast for 6 weeks. J Nutr. 2018;148(1):13–21.CrossRef
64.
go back to reference Chowdhury EA, Richardson JD, Gonzalez JT, Tsintzas K, Thompson D, Betts JA. Six weeks of morning fasting causes little adaptation of metabolic or appetite responses to feeding in adults with obesity. Obesity. 2019;27(5):813–21. Chowdhury EA, Richardson JD, Gonzalez JT, Tsintzas K, Thompson D, Betts JA. Six weeks of morning fasting causes little adaptation of metabolic or appetite responses to feeding in adults with obesity. Obesity. 2019;27(5):813–21.
Metadata
Title
Dietary energy density, metabolic parameters, and blood pressure in a sample of adults with obesity
Authors
Mohammad-Sadegh Pour-Abbasi
Negin Nikrad
Mahdieh Abbasalizad Farhangi
Sahar Vahdat
Faria Jafarzadeh
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Endocrine Disorders / Issue 1/2023
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/s12902-022-01243-9

Other articles of this Issue 1/2023

BMC Endocrine Disorders 1/2023 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine