Association of Dietary Patterns with Metabolic Syndrome: Results from the Kardiovize Brno 2030 Study
Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
PubMed
30011827
PubMed Central
PMC6073665
DOI
10.3390/nu10070898
PII: nu10070898
Knihovny.cz E-zdroje
- Klíčová slova
- diabetes, diet, hyperlipidemia, hypertension, metabolic disorders, nutrition, obesity,
- MeSH
- abdominální obezita epidemiologie prevence a kontrola MeSH
- analýza hlavních komponent MeSH
- chování snižující riziko MeSH
- dieta - přehledy MeSH
- dospělí MeSH
- dyslipidemie epidemiologie prevence a kontrola MeSH
- hypertenze epidemiologie prevence a kontrola MeSH
- lidé středního věku MeSH
- lidé MeSH
- logistické modely MeSH
- metabolický syndrom diagnóza epidemiologie prevence a kontrola MeSH
- nutriční hodnota MeSH
- ochranné faktory MeSH
- odds ratio MeSH
- poruchy metabolismu glukózy epidemiologie prevence a kontrola MeSH
- průřezové studie MeSH
- rizikové faktory MeSH
- rozdělení chí kvadrát MeSH
- senioři MeSH
- stravovací zvyklosti * MeSH
- zdravá strava MeSH
- zdraví ve městech MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
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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