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<Articles><Article><Journal><PublisherName></PublisherName><JournalTitle>International Journal of Preventive Medicine (Int J Prev Med)</JournalTitle><Issn>2008-7802</Issn><Volume>11</Volume><Issue>12</Issue><PubDate PubStatus="epublish"><Year>2021</Year><Month>03</Month><Day>17</Day></PubDate></Journal><title locale="en_US">Metrics of ideal cardiovascular health are unequally distributed between peruvian men and women: Analysis of a national population-based survey in 2017</title><FirstPage>2411</FirstPage><LastPage>2411</LastPage><Language>EN</Language><AuthorList><Author><affiliation locale="en_US">Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Centro de Excelencia en Investigaciones Económicas y Sociales en Salud, Lima</affiliation></Author><Author><affiliation locale="en_US">Universidad Científica del Sur, Lima</affiliation></Author><Author><affiliation locale="en_US">Universidad Científica del Sur, Lima</affiliation></Author><Author><affiliation locale="en_US">Universidad San Ignacio de Loyola, Vicerrectorado de Investigación, Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Lima</affiliation></Author><Author><affiliation locale="en_US">Universidad de Buenos Aires &amp; Instituto de Efectividad Clínica y Sanitaria, Buenos Aires</affiliation></Author></AuthorList><History><PubDate PubStatus="received"><Year>2021</Year><Month>03</Month><Day>17</Day></PubDate></History><abstract locale="en_US">&lt;p&gt;&lt;span dir="ltr"&gt;&lt;strong&gt;Background&lt;/strong&gt;:&lt;/span&gt;&lt;span dir="ltr"&gt; To determine socioeconomic inequalities in cardiovascular health (CVH) metrics among &lt;/span&gt;&lt;span dir="ltr"&gt;Peruvian adults as well as differences according to sex. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span dir="ltr"&gt;&lt;strong&gt;Methods&lt;/strong&gt;:&lt;/span&gt;&lt;span dir="ltr"&gt; An observational, cross‑sectional study &lt;/span&gt;&lt;span dir="ltr"&gt;was conducted in 26,175 individuals aged 18–65 years using the 2017 Peruvian Demographic and Health &lt;/span&gt;&lt;span dir="ltr"&gt;Survey. According to the American Heart Association, 5 CVH metrics which comprised three ideal health &lt;/span&gt;&lt;span dir="ltr"&gt;behaviors (diet, non smoking, ideal body mass index [BMI]), and two ideal health factors (ideal blood &lt;/span&gt;&lt;span dir="ltr"&gt;pressure and no history of diabetes) were evaluated. The concentration curves (CC) methodology was &lt;/span&gt;&lt;span dir="ltr"&gt;used to analyze whether CVH metrics vary between socioeconomic status and sex. The concentration &lt;/span&gt;&lt;span dir="ltr"&gt;index (CI) was used to quantify socioeconomic‑related inequality in health variables. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span dir="ltr"&gt;&lt;strong&gt;Results&lt;/strong&gt;:&lt;/span&gt;&lt;span dir="ltr"&gt; Overall, &lt;/span&gt;&lt;span dir="ltr"&gt;the mean age was 36.5 years (SD = 11.9) and 51.2% were women. Only 2.4% had 5 ideal CVH metrics &lt;/span&gt;&lt;span dir="ltr"&gt;(women 3.7%, men 1.0%) with a CI very close to the equality line (0.0135). (0.0135; higher in women &lt;/span&gt;&lt;span dir="ltr"&gt;[0.0262], compared to men [0,0002]). A greater prevalence of ideal CHV metrics (3 or more) was found in &lt;/span&gt;&lt;span dir="ltr"&gt;women (&lt;/span&gt;&lt;span dir="ltr"&gt;P &lt;/span&gt;&lt;span dir="ltr"&gt;&amp;lt; 0.001). Ideal health factors were more prevalent (52.1%) than ideal health behaviors (13.8%). &lt;/span&gt;&lt;span dir="ltr"&gt;Regarding inequality measures, CCs for most CVH metrics had a higher concentration in the lowest &lt;/span&gt;&lt;span dir="ltr"&gt;wealth population, except for ideal diet, which was more frequent among higher levels of wealth. An ideal &lt;/span&gt;&lt;span dir="ltr"&gt;BMI was the CVH metric with the lowest CI (overall: −0.0817; men: −0.2699).&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span dir="ltr"&gt;&lt;strong&gt;Conclusions&lt;/strong&gt;:&lt;/span&gt;&lt;span dir="ltr"&gt; Peruvian &lt;/span&gt;&lt;span dir="ltr"&gt;women presented a higher prevalence of ideal CVH metrics and fewer inequalities. Ideal CVH metrics &lt;/span&gt;&lt;span dir="ltr"&gt;tend to be concentrated in the wealthiest women. Low‑ &lt;/span&gt;&lt;span dir="ltr"&gt;and middle‑income countries should consider &lt;/span&gt;&lt;span dir="ltr"&gt;socioeconomic inequalities in cardiovascular disease prevention programs.&lt;/span&gt;&lt;/p&gt;</abstract><web_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/view/2411</web_url><pdf_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/download/2411/717718273</pdf_url></Article></Articles>
