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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">Dyslipidemia and Its Components Across Body Mass Index Levels Among Type II Diabetic Patients in the West of Iran</title><FirstPage>2396</FirstPage><LastPage>2396</LastPage><Language>EN</Language><AuthorList><Author><affiliation locale="en_US">Student Research Committee, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran</affiliation></Author><Author><affiliation locale="en_US">Department of Endocrinology, Diabetes Research Center, Department of Internal Medicine, Kermanshah University of Medical Sciences, Kermanshah</affiliation></Author><Author><affiliation locale="en_US">Department of Anesthesia, Alzahra Medical Center, Isfahan University of Medical Sciences, Isfahan</affiliation></Author><Author><affiliation locale="en_US">Student Research Committee, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran</affiliation></Author><Author><affiliation locale="en_US">Department of Epidemiology, Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah</affiliation></Author></AuthorList><History><PubDate PubStatus="received"><Year>2021</Year><Month>03</Month><Day>16</Day></PubDate></History><abstract locale="en_US">&lt;span class="fontstyle0"&gt;&lt;span style="left: 94.5378px; top: 236.183px; font-size: 15px; font-family: serif; transform: scaleX(1.0793);"&gt;Background: &lt;/span&gt;&lt;span style="left: 187.14px; top: 236.183px; font-size: 15px; font-family: serif; transform: scaleX(1.02301);"&gt;The combination of dyslipidemia, obesity, and hyperglycemia can accelerate the &lt;/span&gt;&lt;span style="left: 94.5378px; top: 254.183px; font-size: 15px; font-family: serif; transform: scaleX(0.983764);"&gt;progression to cardiovascular disease. Therefore, this study aimed to investigate dyslipidemia and &lt;/span&gt;&lt;span style="left: 94.5378px; top: 272.183px; font-size: 15px; font-family: serif; transform: scaleX(0.941425);"&gt;its components across body mass index (BMI) levels among type II diabetic patients. &lt;/span&gt;&lt;span style="left: 624.242px; top: 272.183px; font-size: 15px; font-family: serif; transform: scaleX(1.0737);"&gt;Methods:&lt;/span&gt;&lt;span style="left: 685.069px; top: 272.183px; font-size: 15px; font-family: serif; transform: scaleX(1.06063);"&gt; The &lt;/span&gt;&lt;span style="left: 94.5378px; top: 290.183px; font-size: 15px; font-family: serif; transform: scaleX(0.961067);"&gt;data for this cross‑sectional study were extracted from the records of diabetic patients during 2014 &lt;/span&gt;&lt;span style="left: 94.5378px; top: 308.183px; font-size: 15px; font-family: serif; transform: scaleX(1.03426);"&gt;to 2015. About 2,300 diabetic patients had been registered, and finally, the records of 2,110 &lt;/span&gt;&lt;span style="left: 666.413px; top: 308.183px; font-size: 15px; font-family: serif; transform: scaleX(1.00063);"&gt;patients &lt;/span&gt;&lt;span style="left: 94.5378px; top: 326.183px; font-size: 15px; font-family: serif; transform: scaleX(1.04343);"&gt;which were fully completed were investigated. Dyslipidemia was defined based on the NCEP/ATP &lt;/span&gt;&lt;span style="left: 94.5378px; top: 344.183px; font-size: 15px; font-family: serif; transform: scaleX(0.974023);"&gt;III classification of lipid profile. In order to investigate about nonlinear relationship between BMI &lt;/span&gt;&lt;span style="left: 94.5378px; top: 362.183px; font-size: 15px; font-family: serif; transform: scaleX(1.02199);"&gt;and dyslipidemia, and its components, restricted cubic spline method was used. &lt;/span&gt;&lt;span style="left: 584.819px; top: 362.183px; font-size: 15px; font-family: serif; transform: scaleX(1.0692);"&gt;Results:&lt;/span&gt;&lt;span style="left: 636.485px; top: 362.183px; font-size: 15px; font-family: serif; transform: scaleX(1.02953);"&gt; The median &lt;/span&gt;&lt;span style="left: 94.5378px; top: 380.183px; font-size: 15px; font-family: serif; transform: scaleX(0.969323);"&gt;age of patients was 55 (IQR = 14) years. 61.11% was females. The median of BMI, triglyceride, &lt;/span&gt;&lt;span style="left: 94.5378px; top: 398.183px; font-size: 15px; font-family: serif; transform: scaleX(1.03809);"&gt;cholesterol, HDL‑Chol, and LDL‑Chol were 28.3 &lt;/span&gt;&lt;span style="left: 409.448px; top: 398.183px; font-size: 15px; font-family: serif; transform: scaleX(1.00022);"&gt;kg/m&lt;/span&gt;&lt;span style="left: 440.28px; top: 398.762px; font-size: 8.745px; font-family: serif;"&gt;2&lt;/span&gt;&lt;span style="left: 444.653px; top: 398.183px; font-size: 15px; font-family: serif; transform: scaleX(1.08121);"&gt;, 167, 193, 41, and 110 &lt;/span&gt;&lt;span style="left: 599.483px; top: 398.183px; font-size: 15px; font-family: serif; transform: scaleX(1.03574);"&gt;mg/dL in patients, &lt;/span&gt;&lt;span style="left: 94.5377px; top: 416.183px; font-size: 15px; font-family: serif; transform: scaleX(1.02125);"&gt;respectively. The prevalence of dyslipidemia was 91.29% (95% CI: 90.05–92.54). Being overweight, &lt;/span&gt;&lt;span style="left: 94.5377px; top: 434.183px; font-size: 15px; font-family: serif; transform: scaleX(0.976754);"&gt;diabetic patients were associated with an increased risk of dyslipidemia &lt;/span&gt;&lt;span style="left: 589.928px; top: 434.183px; font-size: 15px; font-family: serif; transform: scaleX(0.973575);"&gt;(OR = 1.87–2.78), &lt;/span&gt;&lt;span style="left: 94.5377px; top: 452.183px; font-size: 15px; font-family: serif; transform: scaleX(1.01009);"&gt;hypertriglyceridemia &lt;/span&gt;&lt;span style="left: 229.118px; top: 452.183px; font-size: 15px; font-family: serif; transform: scaleX(1.02816);"&gt;(OR = 1.64; 95% CI: 1.29–2.09), and hypo‑HDL&lt;/span&gt;&lt;span style="left: 557.723px; top: 452.183px; font-size: 15px; font-family: serif; transform: scaleX(1.04944);"&gt; (OR = 1.55; 95% CI: &lt;/span&gt;&lt;span style="left: 94.5377px; top: 470.183px; font-size: 15px; font-family: serif; transform: scaleX(0.969504);"&gt;1.20–2.01). Similarly, obesity also increased the risk of dyslipidemia &lt;/span&gt;&lt;span style="left: 563.273px; top: 470.183px; font-size: 15px; font-family: serif; transform: scaleX(0.955416);"&gt;(OR &lt;/span&gt;&lt;span style="left: 598.718px; top: 470.183px; font-size: 15px; font-family: serif; transform: scaleX(0.949406);"&gt;= 1.94; 95% CI: &lt;/span&gt;&lt;span style="left: 94.5377px; top: 488.183px; font-size: 15px; font-family: serif; transform: scaleX(0.976181);"&gt;1.28–2.95), hypertriglyceridemia &lt;/span&gt;&lt;span style="left: 299.033px; top: 488.183px; font-size: 15px; font-family: serif; transform: scaleX(0.944843);"&gt;(OR = 1.66; 95% CI: 1.29–2.12), and hypo‑HDL&lt;/span&gt;&lt;span style="left: 600.953px; top: 488.183px; font-size: 15px; font-family: serif; transform: scaleX(0.902775);"&gt; (OR = 1.86; 95% &lt;/span&gt;&lt;span style="left: 94.5377px; top: 506.183px; font-size: 15px; font-family: serif; transform: scaleX(1.03415);"&gt;CI: 1.41–2.43). The nonlinear dose–response relationship was associated with a significant increase &lt;/span&gt;&lt;span style="left: 94.5377px; top: 524.183px; font-size: 15px; font-family: serif; transform: scaleX(0.962176);"&gt;then decrease in the risk of dyslipidemia, hypertriglyceridemia, and hypo‑HDL in men and women &lt;/span&gt;&lt;span style="left: 94.5377px; top: 542.183px; font-size: 15px; font-family: serif; transform: scaleX(1.07232);"&gt;as per 1 &lt;/span&gt;&lt;span style="left: 150.383px; top: 542.183px; font-size: 15px; font-family: serif; transform: scaleX(1.00022);"&gt;kg/m&lt;/span&gt;&lt;span style="left: 181.211px; top: 542.762px; font-size: 8.745px; font-family: serif;"&gt;2&lt;/span&gt;&lt;span style="left: 185.583px; top: 542.183px; font-size: 15px; font-family: serif; transform: scaleX(0.937363);"&gt; increase in BMI. &lt;/span&gt;&lt;span style="left: 300.723px; top: 542.183px; font-size: 15px; font-family: serif; transform: scaleX(1.05361);"&gt;Conclusions:&lt;/span&gt;&lt;span style="left: 383.245px; top: 542.183px; font-size: 15px; font-family: serif; transform: scaleX(0.934712);"&gt; With regards to the result, we know that there is no &lt;/span&gt;&lt;span style="left: 94.5377px; top: 560.183px; font-size: 15px; font-family: serif; transform: scaleX(1.02919);"&gt;linear relationship between lipid profiles and BMI, the bell‑shape association between dyslipidemia, &lt;/span&gt;&lt;span style="left: 94.5377px; top: 578.183px; font-size: 15px; font-family: serif; transform: scaleX(0.977714);"&gt;hypertriglyceridemia, and hypo‑HDL needs to be further investigated in both diabetic and general &lt;/span&gt;&lt;span style="left: 94.5377px; top: 596.183px; font-size: 15px; font-family: serif; transform: scaleX(1.00765);"&gt;population in men and women separately. In addition, for public health section, an appropriate &lt;/span&gt;&lt;span style="left: 94.5377px; top: 614.183px; font-size: 15px; font-family: serif; transform: scaleX(0.952917);"&gt;intervention is of most important priorities.&lt;/span&gt;&lt;/span&gt;</abstract><web_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/view/2396</web_url><pdf_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/download/2396/717718239</pdf_url></Article></Articles>
