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Beneficial Effects of a Dietary Approaches to Stop Hypertension Eating Plan on Features of the Metabolic Syndrome
Abstract
OBJECTIVE—To determine the effects of a Dietary Approaches to Stop Hypertension (DASH) eating plan on metabolic risks in patients with the metabolic syndrome. RESEARCH DESIGN AND METHODS—This was a randomized controlled outpatient trial conducted on 116 patients with the metabolic syndrome. Three diets were prescribed for 6 months: a control diet, a weight-reducing diet emphasizing healthy food choices, and the DASH diet with reduced calories and increased consumption of fruit, vegetables, low-fat dairy, and whole grains and lower in saturated fat, total fat, and cholesterol and restricted to 2,400 mg Na. The main outcome measures were the components of the metabolic syndrome. RESULTS—Relative to the control diet, the DASH diet resulted in higher HDL cholesterol (7 and 10 mg/dl), lower triglycerides (−18 and −14 mg/dl), systolic blood pressure (SBP) (−12 and −11 mmHg), diastolic blood pressure (−6 and −7 mmHg), weight (−16 and −14 kg), fasting blood glucose (FBG) (−15 and −8 mg/dl), and weight (−16 and −15 kg), among men and women, respectively (all P < 0.001). The net reduction in triglycerides (−17 and −18 mg/dl), SBP (−11 and −11 mmHg), diastolic blood pressure (−5 and −6 mmHg), and FBG (−4 and −6 mg/dl), weight (−16 and −15 kg), and increase in HDL (5 and 10 mg/dl) among men and women, respectively, was higher in the DASH group (all P < 0.05). The weight-reducing diet resulted in significant change in triglycerides (−13 and −10 mg/dl), SBP (−6 and −6 mmHg), and weight (−13 and −12 kg) among men and women, respectively (all P < 0.05). CONCLUSIONS—The DASH diet can likely reduce most of the metabolic risks in both men and women; the related mechanisms need further study.
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Ross, R., Dagnone, D., Jones, P. J. H., Smith, H., Paddags, A., Hudson, R., & Janssen, I. (2000) · Annals of Internal Medicine · doi:10.7326/0003-4819-133-2-200007180-00008 · Cited by 1,435
Franz, M. J., Bantle, J. P., Beebe, C. A., Brunzell, J. D., Chiasson, J.-L., Garg, A., Holzmeister, L. A., Hoogwerf, B., Mayer-Davis, E., Mooradian, A. D., et al. (2002) · Diabetes Care · doi:10.2337/diacare.25.1.148 · Cited by 1,165
High glycemic index foods, overeating, and obesity
Ludwig, D. S., Majzoub, J. A., Al-Zahrani, A., Dallal, G. E., Blanco, I., & Roberts, S. B. (1999) · Pediatrics · doi:10.1542/peds.103.3.e26 · Cited by 699
Dietary treatment of the metabolic syndrome — the optimal diet
Riccardi, G., & Rivellese, A. A. (2000) · British Journal of Nutrition · doi:10.1017/s0007114500001082 · Cited by 265
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Siervo, M., Lara, J., Chowdhury, S., Ashor, A., Oggioni, C., & Mathers, J. C. (2015) · British Journal of Nutrition · doi:10.1017/s0007114514003341 · Cited by 656
Garber, A. J., Handelsman, Y., Grunberger, G., Einhorn, D., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bush, M. A., DeFronzo, R. A., Garber, J. R., et al. (2020) · Endocrine Practice · doi:10.4158/cs-2019-0472 · Cited by 598
Chiavaroli, L., Viguiliouk, E., Nishi, S., Blanco Mejia, S., Rahelić, D., Kahleová, H., Salas-Salvadó, J., Kendall, C., & Sievenpiper, J. (2019) · Nutrients · doi:10.3390/nu11020338 · Cited by 548
Filippou, C. D., Tsioufis, C. P., Thomopoulos, C. G., Mihas, C. C., Dimitriadis, K. S., Sotiropoulou, L. I., Chrysochoou, C. A., Nihoyannopoulos, P. I., & Tousoulis, D. M. (2020) · Advances in Nutrition · doi:10.1093/advances/nmaa041 · Cited by 539
Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome
Esmaillzadeh, A., Kimiagar, M., Mehrabi, Y., Azadbakht, L., Hu, F. B., & Willett, W. C. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.6.1489 · Cited by 524
Self-citationLópez-Miranda, J., Pérez-Jiménez, F., Ros, E., De Caterina, R., Badimón, L., Covas, M. I., Escrich, E., Ordovás, J. M., Soriguer, F., Abiá, R., et al. (2010) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2009.12.007 · Cited by 520
Salas-Salvadó, J., Fernández-Ballart, J., Ros, E., Martínez-González, M.-A., Fitó, M., Estruch, R., Corella, D., Fiol, M., Gómez-Gracia, E., Arós, F., et al. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.22.2449 · Cited by 463
Mellen, P. B., Gao, S. K., Vitolins, M. Z., & Goff, D. C. (2008) · Archives of Internal Medicine · doi:10.1001/archinternmed.2007.119 · Cited by 444
Garber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S., DeFronzo, R. A., Einhorn, D., Fonseca, V. A., et al. (2017) · Endocrine Practice · doi:10.4158/ep161682.cs · Cited by 435
Salehi-Abargouei, A., Maghsoudi, Z., Shirani, F., & Azadbakht, L. (2013) · Nutrition · doi:10.1016/j.nut.2012.12.018 · Cited by 429
Self-citationSaneei, P., Salehi-Abargouei, A., Esmaillzadeh, A., & Azadbakht, L. (2014) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.06.008 · Cited by 419
Self-citationAzadbakht, L., Fard, N. R. P., Karimi, M., Baghaei, M. H., Surkan, P. J., Rahimi, M., Esmaillzadeh, A., & Willett, W. C. (2011) · Diabetes Care · doi:10.2337/dc10-0676 · Cited by 304
Self-citationGarber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S., DeFronzo, R. A., Einhorn, D., Fonseca, V. A., et al. (2019) · Endocrine Practice · doi:10.4158/cs-2018-0535 · Cited by 297
Targeting inflammation in metabolic syndrome
Welty, F. K., Alfaddagh, A., & Elajami, T. K. (2016) · Translational Research · doi:10.1016/j.trsl.2015.06.017 · Cited by 287
Soltani, S., Shirani, F., Chitsazi, M. J., & Salehi‐Abargouei, A. (2016) · Obesity Reviews · doi:10.1111/obr.12391 · Cited by 251
Gao, D., Ning, N., Wang, C., Wang, Y., Li, Q., Meng, Z., Liu, Y., & Li, Q. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073965 · Cited by 232
Shirani, F., Salehi-Abargouei, A., & Azadbakht, L. (2013) · Nutrition · doi:10.1016/j.nut.2012.12.021 · Cited by 204
The associations between personality, diet and body mass index in older people.
Mõttus, R., McNeill, G., Jia, X., Craig, L. C. A., Starr, J. M., & Deary, I. J. (2013) · Health Psychology · doi:10.1037/a0025537 · Cited by 171
Dunkley, A. J., Charles, K., Gray, L. J., Camosso‐Stefinovic, J., Davies, M. J., & Khunti, K. (2012) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2012.01571.x · Cited by 151
Asemi, Z., & Esmaillzadeh, A. (2015) · Hormone and Metabolic Research · doi:10.1055/s-0034-1376990 · Cited by 134
Self-citationAsemi, Z., Samimi, M., Tabassi, Z., Shakeri, H., Sabihi, S.-S., & Esmaillzadeh, A. (2014) · Nutrition · doi:10.1016/j.nut.2014.03.008 · Cited by 136
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Tremblay, A., & Gilbert, J.-A. (2009) · Journal of the American College of Nutrition · doi:10.1080/07315724.2009.10719809 · Cited by 123
Asemi, Z., Samimi, M., Tabassi, Z., & Esmaillzadeh, A. (2014) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2013.296 · Cited by 119
Self-citationForoozanfard, F., Rafiei, H., Samimi, M., Gilasi, H. R., Gorjizadeh, R., Heidar, Z., & Asemi, Z. (2017) · Clinical Endocrinology · doi:10.1111/cen.13333 · Cited by 75
DASH diet and prevalent metabolic syndrome in the Hispanic Community Health Study/Study of Latinos
Joyce, B. T., Wu, D., Hou, L., Dai, Q., Castaneda, S. F., Gallo, L. C., Talavera, G. A., Sotres-Alvarez, D., Van Horn, L., Beasley, J. M., et al. (2019) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2019.100950 · Cited by 32
Azadbakht, L., Izadi, V., Ehsani, S., & Esmaillzadeh, A. (2016) · Journal of the American College of Nutrition · doi:10.1080/07315724.2014.991459 · Cited by 12
Self-citation
Metadata
- Authors
- Azadbakht, L., Mirmiran, P., Esmaillzadeh, A., Azizi, T., & Azizi, F.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2005-12-01
- Volume
- 28
- Issue
- 12
- Pages
- 2823-2831
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2162588809
- Cited by
- 536
- References
- 4
- FWCI
- 22.32
- Type
- journal article
- Language
- en
- Open access
- closed
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