{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,8]],"date-time":"2024-07-08T05:12:05Z","timestamp":1720415525758},"reference-count":33,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2016,7,12]],"date-time":"2016-07-12T00:00:00Z","timestamp":1468281600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Iranian Budget and Planning Organization","award":["31309304"],"award-info":[{"award-number":["31309304"]}]},{"name":"Isfahan Cardiovascular Research Center (ICRS)"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nutrition &amp;amp; Dietetics"],"published-print":{"date-parts":[[2017,2]]},"abstract":"<jats:sec><jats:title>Aim<\/jats:title><jats:p>There is controversy around the clinical effects of the dietary glycaemic index (<jats:styled-content style=\"fixed-case\">GI<\/jats:styled-content>) and glycaemic load (<jats:styled-content style=\"fixed-case\">GL<\/jats:styled-content>) on cardiovascular diseases risk factors such as metabolic syndrome (<jats:styled-content style=\"fixed-case\">MetS<\/jats:styled-content>). So, the present study was performed to evaluate the relationship between <jats:styled-content style=\"fixed-case\">GI<\/jats:styled-content> or <jats:styled-content style=\"fixed-case\">GL<\/jats:styled-content> and metabolic syndrome in an Iranian adult population in 2007.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The study was based on data from a sub\u2010sample of the Isfahan Healthy Heart Program (<jats:styled-content style=\"fixed-case\">IHHP<\/jats:styled-content>), collected across three cities in central Iran, in the year 2007. This was a cross\u2010sectional survey of 1618 randomly selected adults aged \u226519 years. Nutritional assessment was conducted by a single 24\u2010hour recall questionnaire. Fasting serum lipids, anthropometric indicators and blood pressure were measured by standard methods. Analysis of covariance was used to compare metabolic syndrome components according to energy\u2010adjusted <jats:styled-content style=\"fixed-case\">GI<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">GL<\/jats:styled-content> levels. To expose the effect of potential confounders, hierarchical logistic regression models were utilised to determine adjusted odds ratios (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content>) and 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>After adjustment for age, gender, body mass index and energy intake, high <jats:styled-content style=\"fixed-case\">GI<\/jats:styled-content> was found to be significantly associated with <jats:styled-content style=\"fixed-case\">MetS<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">OR<\/jats:styled-content> 95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>) (1.46 (1.01\u20132.12)). This was attenuated marginally by excluding the confounding effects of dietary fibre intake (1.29 (1.01\u20131.74)). All hierarchical models illustrated no significant association between energy\u2010adjusted <jats:styled-content style=\"fixed-case\">GL<\/jats:styled-content> and the risk of <jats:styled-content style=\"fixed-case\">MetS<\/jats:styled-content> adjusted for confounders.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>There is a positive relationship between dietary <jats:styled-content style=\"fixed-case\">GI<\/jats:styled-content>, but not <jats:styled-content style=\"fixed-case\">GL<\/jats:styled-content>, and the presence of <jats:styled-content style=\"fixed-case\">MetS<\/jats:styled-content> after adjustment for potential confounders. However, studies with long duration of follow up and experimental studies are still required to confirm this relationship.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1747-0080.12288","type":"journal-article","created":{"date-parts":[[2016,7,12]],"date-time":"2016-07-12T10:42:02Z","timestamp":1468320122000},"page":"61-66","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Association of glycaemic index and glycaemic load with metabolic syndrome in an Iranian adult population: Isfahan Healthy Heart Program"],"prefix":"10.1111","volume":"74","author":[{"given":"Noushin","family":"Mohammadifard","sequence":"first","affiliation":[{"name":"Isfahan Cardiovascular Research Centre, Cardiovascular Research Institute Isfahan University of Medical Sciences  Isfahan Iran"},{"name":"Hypertension Research Centre, Cardiovascular Research Institute Isfahan University of Medical Sciences  Isfahan 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