<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[Arch Latinoam Nutr]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222023000500152</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[O94 PROSPECTIVE ASSOCIATION BETWEEN THE CARDIOVASCULAR HEALTH DET INDEX AND SUBCLINICAL ATHEROSCLEROSIS: RESULTS OF THE ELSA-BRASIL COHORT STUDY]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Teixeira-Cacau]]></surname>
<given-names><![CDATA[Dr. Leandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bensenor]]></surname>
<given-names><![CDATA[Dr. Isabela]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lotufo]]></surname>
<given-names><![CDATA[Dr. Paulo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marchioni]]></surname>
<given-names><![CDATA[Dr. Dirce]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,University Of São Paulo School of Public Health Department of Nutrition]]></institution>
<addr-line><![CDATA[São Paulo ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,University of São Paulo University Hospital Clinical and Epidemiological Research Center]]></institution>
<addr-line><![CDATA[São Paulo ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>10</month>
<year>2023</year>
</pub-date>
<volume>73</volume>
<fpage>152</fpage>
<lpage>152</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222023000500152&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222023000500152&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222023000500152&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Introduction:  The Cardiovascular Health Diet Index (CHDI) is a newly proposed diet quality score for cardiovascular health, adapted to the Brazilian food culture, and the first to include ultra-processed foods as one of the components.  Objectives:  Our aim was to prospectively investigate the association between the CHDI and its components with subclinical atherosclerosis.  Methods:  Data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort, consisting of 7,653 participants without prior cardiovascular disease and with plausible energy intake were used. Subclinical atherosclerosis was assessed by measuring carotid intima-media thickness (cIMT) at baseline (2008-2012) and at the third wave (2017- 2019). The CHDI (0-110 points) and its 11 components (fruits, vegetables, fish and seafood, sugar-sweetened beverages, whole grains, nuts, legumes, processed meat, red meat, dairy, and ultra-processed foods), were applied to dietary data obtained from a food frequency questionnaire at baseline. Linear mixed-effects models were used to assess the association between the CHDI total score and its components at baseline and changes in cIMT over time.  Results:  The average CHDI total score was 56.8 points (95% CI 56.6; 57.0). After a median 8-year follow-up period, a 10-point increase in the CHDI total score was associated with a decrease in cIMT of -0.0029 mm (-0.0051; -0.0008). Higher consumption of whole cereals (&#946; -0.0088 mm, 95% CI -0.0017; -0.0001) and nuts (-0.0013 mm, -0.0022; -0.0005) led to a reduction in cIMT, while lower consumption of of processed meat (-0.0007 mm, -0.0015; -0.0001), sugar-sweetened beverages (-0.0013 mm, -0.0023; -0.0004), and ultra-processed foods (-0.0017 mm, -0.0027; -0.0007) also contributed to a reduction in cIMT, after controlling for various factors.  Conclusion:  In this Brazilian large cohort with individuals without overt CVD, higher scores in the CHDI and in whole cereals, nuts, sugar-sweetened beverages, processed meat and ultra-processed foods components were prospectively associated with decreased subclinical atherosclerosis after an 8-year follow-up period.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[diet quality]]></kwd>
<kwd lng="en"><![CDATA[subclinical atherosclerosis]]></kwd>
<kwd lng="en"><![CDATA[cardiovascular health]]></kwd>
</kwd-group>
</article-meta>
</front>
</article>
