Association of Dietary Patterns with Metabolic Syndrome: Results from the Kardiovize Brno 2030 Study

. 2018 Jul 13 ; 10 (7) : . [epub] 20180713

Jazyk angličtina Země Švýcarsko Médium electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid30011827

Although metabolic syndrome (MetS) could be handled by lifestyle interventions, its relationship with dietary patterns remains unclear in populations from Central Europe. Using data from the Kardiovize Brno cohort, the present study aims to identify the main dietary patterns and to evaluate their association with MetS risk in a random urban sample from Brno, Czech Republic. In a cross-sectional study of 1934 subjects aged 25⁻65 years (44.3% male), dietary patterns were derived by food frequency questionnaire (FFQ) administration and principal component analysis. Metabolic syndrome was defined according to the International Diabetes Federation statement. Logistic regression models were applied. High adherence to the prudent dietary pattern was associated with lower odds of abdominal obesity, abnormal glucose concentration, and MetS. By contrast, high adherence to the western dietary pattern was associated with higher odds of abnormal glucose, triglycerides and blood pressure levels. Whilst our results confirm the deleterious effect of a western dietary pattern on several metabolic risk factors, they also indicate that the consumption of a diet rich in cereals, fish, fruit and vegetables is associated with a healthier metabolic profile. However, further prospective research is warranted to develop and validate novel potential preventive strategies against MetS and its complications.

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Lakka H.M., Laaksonen D.E., Lakka T.A., Niskanen L.K., Kumpusalo E., Tuomilehto J., Salonen J.T. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002;288:2709–2716. doi: 10.1001/jama.288.21.2709. PubMed DOI

Wang J., Ruotsalainen S., Moilanen L., Lepistö P., Laakso M., Kuusisto J. The metabolic syndrome predicts cardiovascular mortality: A 13-year follow-up study in elderly non-diabetic Finns. Eur. Heart J. 2007;28:857–864. doi: 10.1093/eurheartj/ehl524. PubMed DOI

Aggarwal A., Aggarwal S., Sharma V. Cardiovascular risk factors in young patients of coronary artery disease: Differences over a decade. J. Cardiovasc. Thorac. Res. 2014;6:169–173. doi: 10.15171/jcvtr.2014.006. PubMed DOI PMC

Farhangi M.A., Jahangiry L., Asghari-Jafarabadi M., Najafi M. Association between dietary patterns and metabolic syndrome in a sample of Tehranian adults. Obes. Res. Clin. Pract. 2016;10(Suppl. 1):S64–S73. doi: 10.1016/j.orcp.2015.05.011. PubMed DOI

Alberti K.G., Eckel R.H., Grundy S.M., Zimmet P.Z., Cleeman J.I., Donato K.A., Fruchart J.C., James W.P., Loria C.M., Smith S.C., et al. Harmonizing the metabolic syndrome: A joint interim statement of the international diabetes federation task force on epidemiology and prevention; national heart, lung, and blood institute; american heart association; world heart federation; international atherosclerosis society; and international association for the study of obesity. Circulation. 2009;120:1640–1645. PubMed

Yki-Järvinen H. Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome. Lancet Diabetes Endocrinol. 2014;2:901–910. doi: 10.1016/S2213-8587(14)70032-4. PubMed DOI

Grundy S.M., Cleeman J.I., Daniels S.R., Donato K.A., Eckel R.H., Franklin B.A., Gordon D.J., Krauss R.M., Savage P.J., Smith S.C., et al. Diagnosis and management of the metabolic syndrome. An American heart association/national heart, lung, and blood institute scientific statement. Executive summary. Cardiol. Rev. 2005;13:322–327. doi: 10.1161/CIRCULATIONAHA.105.169405. PubMed DOI

Rodríguez-Monforte M., Sánchez E., Barrio F., Costa B., Flores-Mateo G. Metabolic syndrome and dietary patterns: A systematic review and meta-analysis of observational studies. Eur. J. Nutr. 2017;56:925–947. doi: 10.1007/s00394-016-1305-y. PubMed DOI

Shab-Bidar S., Golzarand M., Hajimohammadi M., Mansouri S. A posteriori dietary patterns and metabolic syndrome in adults: A systematic review and meta-analysis of observational studies. Public Health Nutr. 2018;21:1681–1692. doi: 10.1017/S1368980018000216. PubMed DOI PMC

Esmaillzadeh A., Kimiagar M., Mehrabi Y., Azadbakht L., Hu F.B., Willett W.C. Dietary patterns, insulin resistance, and prevalence of the metabolic syndrome in women. Am. J. Clin. Nutr. 2007;85:910–918. doi: 10.1093/ajcn/85.3.910. PubMed DOI

Heidemann C., Scheidt-Nave C., Richter A., Mensink G.B. Dietary patterns are associated with cardiometabolic risk factors in a representative study population of German adults. Br. J. Nutr. 2011;106:1253–1262. doi: 10.1017/S0007114511001504. PubMed DOI

Hong S., Song Y., Lee K.H., Lee H.S., Lee M., Jee S.H., Joung H. A fruit and dairy dietary pattern is associated with a reduced risk of metabolic syndrome. Metabolism. 2012;61:883–890. doi: 10.1016/j.metabol.2011.10.018. PubMed DOI

Cho Y.A., Kim J., Cho E.R., Shin A. Dietary patterns and the prevalence of metabolic syndrome in Korean women. Nutr. Metab. Cardiovasc. Dis. 2011;21:893–900. doi: 10.1016/j.numecd.2010.02.018. PubMed DOI

Cameron A.J., Shaw J.E., Zimmet P.Z. The metabolic syndrome: Prevalence in worldwide populations. Endocrinol. Metab. Clin. N. Am. 2004;33:351–375. doi: 10.1016/j.ecl.2004.03.005. PubMed DOI

Day C. Metabolic syndrome, or what you will: Definitions and epidemiology. Diabetes Vasc. Dis. Res. 2007;4:32–38. doi: 10.3132/dvdr.2007.003. PubMed DOI

Mertens E., Kuijsten A., Dofková M., Mistura L., D’Addezio L., Turrini A., Dubuisson C., Favret S., Havard S., Trolle E., et al. Geographic and socioeconomic diversity of food and nutrient intakes: A comparison of four European countries. Eur. J. Nutr. 2018 doi: 10.1007/s00394-018-1673-6. PubMed DOI PMC

Movsisyan N.K., Vinciguerra M., Lopez-Jimenez F., Kunzová Š., Homolka M., Jaresova J., Cífková R., Sochor O. Kardiovize brno 2030, a prospective cardiovascular health study in central Europe: Methods, baseline findings and future directions. Eur. J. Prev. Cardiol. 2017;25:54–64. doi: 10.1177/2047487317726623. PubMed DOI

Hruskova J., Maugeri A., Podroužková H., Štípalová T., Jakubík J., Barchitta M., Medina-Inojosa J.R., Homolka M., Agodi A., Kunzova S., et al. Association of cardiovascular health with epicardial adipose tissue and intima media thickness: The kardiovize study. J. Clin. Med. 2018;7:113. doi: 10.3390/jcm7050113. PubMed DOI PMC

Maugeri A., Kunzova S., Medina-Inojosa J.R., Agodi A., Barchitta M., Homolka M., Kiacova N., Bauerova H., Sochor O., Lopez-Jimenez F., et al. Association between eating time interval and frequency with ideal cardiovascular health: Results from a random sample Czech urban population. Nutr. Metab. Cardiovasc. Dis. 2018 doi: 10.1016/j.numecd.2018.04.002. PubMed DOI

Harris P.A., Taylor R., Thielke R., Payne J., Gonzalez N., Conde J.G. Research electronic data capture (redcap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009;42:377–381. doi: 10.1016/j.jbi.2008.08.010. PubMed DOI PMC

Brussaard J.H., Löwik M.R., Steingrímsdóttir L., Møller A., Kearney J., De Henauw S., Becker W., Group E. A European food consumption survey method—Conclusions and recommendations. Eur. J. Clin. Nutr. 2002;56(Suppl. 2):S89–S94. doi: 10.1038/sj.ejcn.1601432. PubMed DOI

Ruprich J., Dofkova M., Rehurkova I., Slamenikova E., Resova D. Individual Food Consumption—The National Study SISP04. [(accessed on 1 April 2018)]; CHFCH NIPH in Prague. Available online: http://www.chpr.szu.cz/spotrebapotravin.htm.

Willett W., Stampfer M.J. Total energy intake: Implications for epidemiologic analyses. Am. J. Epidemiol. 1986;124:17–27. doi: 10.1093/oxfordjournals.aje.a114366. PubMed DOI

Craig C.L., Marshall A.L., Sjostrom M., Bauman A.E., Booth M.L., Ainsworth B.E., Pratt M., Ekelund U., Yngve A., Sallis J.F., et al. International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sports Exerc. 2003;35:1381–1395. doi: 10.1249/01.MSS.0000078924.61453.FB. PubMed DOI

Suliga E., Kozieł D., Cieśla E., Rębak D., Głuszek S. Dietary patterns in relation to metabolic syndrome among adults in Poland: A cross-sectional study. Nutrients. 2017;9:1366. doi: 10.3390/nu9121366. PubMed DOI PMC

Kimokoti R.W., Gona P., Zhu L., Newby P.K., Millen B.E., Brown L.S., D’Agostino R.B., Fung T.T. Dietary patterns of women are associated with incident abdominal obesity but not metabolic syndrome. J. Nutr. 2012;142:1720–1727. doi: 10.3945/jn.112.162479. PubMed DOI PMC

Romaguera D., Ängquist L., Du H., Jakobsen M.U., Forouhi N.G., Halkjær J., Feskens E.J., van der A D.L., Masala G., Steffen A., et al. Food composition of the diet in relation to changes in waist circumference adjusted for body mass index. PLoS ONE. 2011;6:e23384. doi: 10.1371/journal.pone.0023384. PubMed DOI PMC

Barbaresko J., Siegert S., Koch M., Aits I., Lieb W., Nikolaus S., Laudes M., Jacobs G., Nöthlings U. Comparison of two exploratory dietary patterns in association with the metabolic syndrome in a northern german population. Br. J. Nutr. 2014;112:1364–1372. doi: 10.1017/S0007114514002098. PubMed DOI

Zhang Q., Chen X., Liu Z., Varma D.S., Wan R., Wan Q., Zhao S. Dietary patterns in relation to general and central obesity among adults in southwest china. Int. J. Environ. Res. Public Health. 2016;13:1080. doi: 10.3390/ijerph13111080. PubMed DOI PMC

Sadakane A., Tsutsumi A., Gotoh T., Ishikawa S., Ojima T., Kario K., Nakamura Y., Kayaba K. Dietary patterns and levels of blood pressure and serum lipids in a Japanese population. J. Epidemiol. 2008;18:58–67. doi: 10.2188/jea.18.58. PubMed DOI PMC

Shin J.Y., Kim J.M., Kim Y. Associations between dietary patterns and hypertension among Korean adults: The Korean national health and nutrition examination survey (2008–2010) Nutr. Res. Pract. 2013;7:224–232. doi: 10.4162/nrp.2013.7.3.224. PubMed DOI PMC

Sun J., Buys N.J., Hills A.P. Dietary pattern and its association with the prevalence of obesity, hypertension and other cardiovascular risk factors among Chinese older adults. Int. J. Environ. Res. Public Health. 2014;11:3956–3971. doi: 10.3390/ijerph110403956. PubMed DOI PMC

O’Connor L.E., Kim J.E., Campbell W.W. Total red meat intake of ≥0.5 servings/d does not negatively influence cardiovascular disease risk factors: A systemically searched meta-analysis of randomized controlled trials. Am. J. Clin. Nutr. 2017;105:57–69. doi: 10.3945/ajcn.116.142521. PubMed DOI PMC

Jia Q., Xia Y., Zhang Q., Wu H., Du H., Liu L., Wang C., Shi H., Guo X., Liu X., et al. Dietary patterns are associated with prevalence of fatty liver disease in adults. Eur. J. Clin. Nutr. 2015;69:914–921. doi: 10.1038/ejcn.2014.297. PubMed DOI

Yang C.Q., Shu L., Wang S., Wang J.J., Zhou Y., Xuan Y.J., Wang S.F. Dietary patterns modulate the risk of non-alcoholic fatty liver disease in Chinese adults. Nutrients. 2015;7:4778–4791. doi: 10.3390/nu7064778. PubMed DOI PMC

Beck K.L., Jones B., Ullah I., McNaughton S.A., Haslett S.J., Stonehouse W. Associations between dietary patterns, socio-demographic factors and anthropometric measurements in adult New Zealanders: An analysis of data from the 2008/09 New Zealand adult nutrition survey. Eur. J. Nutr. 2018;57:1421–1433. doi: 10.1007/s00394-017-1421-3. PubMed DOI

Mazidi M., Kengne A.P. Nutrient patterns and their relationship with general and central obesity in US adults. Eur. J. Clin. Investig. 2017 doi: 10.1111/eci.12745. PubMed DOI

Rezagholizadeh F., Djafarian K., Khosravi S., Shab-Bidar S. A posteriori healthy dietary patterns may decrease the risk of central obesity: Findings from a systematic review and meta-analysis. Nutr. Res. 2017;41:1–13. doi: 10.1016/j.nutres.2017.01.006. PubMed DOI

Zhang M., Zhu Y., Li P., Chang H., Wang X., Liu W., Zhang Y., Huang G. Associations between dietary patterns and impaired fasting glucose in Chinese men: A cross-sectional study. Nutrients. 2015;7:8072–8089. doi: 10.3390/nu7095382. PubMed DOI PMC

Villegas R., Salim A., Flynn A., Perry I.J. Prudent diet and the risk of insulin resistance. Nutr. Metab. Cardiovasc. Dis. 2004;14:334–343. doi: 10.1016/S0939-4753(04)80023-1. PubMed DOI

Montonen J., Knekt P., Härkänen T., Järvinen R., Heliövaara M., Aromaa A., Reunanen A. Dietary patterns and the incidence of type 2 diabetes. Am. J. Epidemiol. 2005;161:219–227. doi: 10.1093/aje/kwi039. PubMed DOI

Adriano L.S., Sampaio H.A., Arruda S.P., Portela C.L., de Melo M.L.P., Carioca A.A., Soares N.T. Healthy dietary pattern is inversely associated with non-alcoholic fatty liver disease in elderly. Br. J. Nutr. 2016;115:2189–2195. doi: 10.1017/S0007114516001410. PubMed DOI

Barchitta M., Maugeri A., Quattrocchi A., Agrifoglio O., Scalisi A., Agodi A. The association of dietary patterns with high-risk human papillomavirus infection and cervical cancer: A cross-sectional study in Italy. Nutrients. 2018;10:469. doi: 10.3390/nu10040469. PubMed DOI PMC

Wagner A., Dallongeville J., Haas B., Ruidavets J.B., Amouyel P., Ferrières J., Simon C., Arveiler D. Sedentary behaviour, physical activity and dietary patterns are independently associated with the metabolic syndrome. Diabetes Metab. 2012;38:428–435. doi: 10.1016/j.diabet.2012.04.005. PubMed DOI

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