<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJEMD</journal-id><journal-title-group><journal-title>Open Journal of Endocrine and Metabolic Diseases</journal-title></journal-title-group><issn pub-type="epub">2165-7424</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojemd.2014.411024</article-id><article-id pub-id-type="publisher-id">OJEMD-51222</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Study of Serum Cholesterol Level in Adult Obese Population of Karachi, Pakistan
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ubina</surname><given-names>Mushtaq</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rehana</surname><given-names>Mushtaq</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ambreen</surname><given-names>Akram</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sobia</surname><given-names>Khwaja</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shabbir</surname><given-names>Ahmed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Zoology, Federal Urdu University of Arts Science and Technology, Karachi, Pakistan</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ambadn@hotmail.com(UM)</email>;<email>mushtaqrehana@ymail.com(RM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>04</day><month>11</month><year>2014</year></pub-date><volume>04</volume><issue>11</issue><fpage>238</fpage><lpage>243</lpage><history><date date-type="received"><day>6</day>	<month>September</month>	<year>2014</year></date><date date-type="rev-recd"><day>8</day>	<month>October</month>	<year>2014</year>	</date><date date-type="accepted"><day>25</day>	<month>October</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   Background: The present study was planned to investigate the level of cholesterol in obese/non-obese (normal) individuals according to their body mass index (BMI) and age in different population residing in Karachi. Aim: Comparison of serum cholesterol values of obese with normal subjects and comparison of BMI of obese and normal individuals. Methods: Selection of obese subjects was according to the WHO (1998) criteria. A total of 40 subjects 18 - 55 years of age participated in the study, among which 30 subjects (Mean Age = 29.47 &#177; 1.99) were obese (Mean BMI = 35.41 &#177; 0.878) and 10 were controls with Mean age = 21.00 &#177; 0.547 and BMI = 19.96 &#177; 0.432. An overnight fasting blood sample was obtained and serum total Cholesterol (T-CH) level was estimated. Results: Obese persons having Mean T-CH = 202.6 &#177; 14.3 and controls having Mean T-CH = 173.3 &#177; 14.0. The data were further divided into males and females. Obese females were 11 with their BMI 31.836 &#177; 0.21, mean age ranged at 28.73 &#177; 4.04 and T-CH 191.8 &#177; 21.8, while that of control females were 6 in number with their BMI ranged at 19.183 &#177; 0.507, age 21.000 &#177; 0.894 and Cholester 148.7 &#177; 16.0 in controls. Total numbers of obese males were 19 with their BMI ranged at 37.49 &#177; 1.14, age ranged at 29.89 &#177; 2.19 and cholesterol level ranged at 208.89 &#177; 19.1. Control males were 4 in number with their BMI ranged at 21.125 &#177; 0.075, age 21.250 &#177; 0.479 and their T-CH 128.7 &#177; 8.72. Conclusion: The results of current study have reflected that BMI and total cholesterol concentration are higher in obese subjects. 
 
</p></abstract><kwd-group><kwd>BMI</kwd><kwd> Obesity</kwd><kwd> Serum Cholesterol Levels</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Obesity is right now considered a pandemic, expanding quickly in many developed countries throughout the world. The incidence of being overweight and obese among United State grown-ups has expanded by 45% in the course of recent decades, from 44.8% in 1962 to 65.2% in 2002 [<xref ref-type="bibr" rid="scirp.51222-ref1">1</xref>] . Obesity is usually characterized as the presence of excessive body fat, yet the instance of fat distribution is critical regarding Diabetes mellitus (DM) hazard and many other metabolic abnormalities included in the metabolic syndrome. Men are more prone to have abdominal or upper-body obesity called android obesity, initially depicted by Vague in 1956 [<xref ref-type="bibr" rid="scirp.51222-ref2">2</xref>] , though females are more inclined to have a gluteofemoral or lower-body pattern of fat dissemination (gynoid obesity). Obesity has been defined as a weight more than 20% above what is considered normal according to standard age, height, and weight tables, or by a complex formula known as the body mass index [<xref ref-type="bibr" rid="scirp.51222-ref3">3</xref>] . Overweight and obesity keep on increasing considerably around the world, influencing all ages, genders and races [<xref ref-type="bibr" rid="scirp.51222-ref4">4</xref>] . Pakistan National Representative Survey demonstrated 25% of the populations to be overweight as indicated by the Asian-particu- lar BMI cutoff values and 10.3% are obese. This information confirms a major health issue in Pakistan [<xref ref-type="bibr" rid="scirp.51222-ref5">5</xref>] . Obese individuals with body mass index (BMI) greater than 30 kg/m<sup>2</sup> have a more serious danger of dying earlier than the non-obese [<xref ref-type="bibr" rid="scirp.51222-ref6">6</xref>] . Because of excess amount of body fat ratio in obesity, BMI, waist circumference (WC) and waist-to-hip ratio (WHR) have been utilized as basic anthropometric indices (AI) for evaluating the sum and appropriation of muscle to fat ratio ratios [<xref ref-type="bibr" rid="scirp.51222-ref7">7</xref>] and are useful indices in foreseeing the risk of type 2 diabetes, hypertension, and cardiovascular diseases (CVDs) in grown-ups [<xref ref-type="bibr" rid="scirp.51222-ref8">8</xref>] . Generally among the over three indices, BMI has been demonstrated to be the most helpful and useful one in characterizing obesity in people. Obesity and abdominal obesity specifically, is definitely connected with an unfavorable dyslipidemic profile and an expanded danger for coronary vein artery disease [<xref ref-type="bibr" rid="scirp.51222-ref9">9</xref>] . Saturated fats and cholesterol in the diet play an important role in the etiology of hypercholesterolemia and act as a danger element for CHD [<xref ref-type="bibr" rid="scirp.51222-ref10">10</xref>] . Grundy in 1987 reported that the high level of plasma cholesterol is because of an increased in the level of low-density lipoprotein cholesterol (LDL-C) [<xref ref-type="bibr" rid="scirp.51222-ref11">11</xref>] . Polyunsaturated fat diet decreases plasma cholesterol level and beta lipoprotein when substituted for saturated fats [<xref ref-type="bibr" rid="scirp.51222-ref12">12</xref>] . Saturated fats and cholesterol in the diet cause elevated serum cholesterol while diet low in saturated fat and cholesterol reduce cholesterol level in people [<xref ref-type="bibr" rid="scirp.51222-ref13">13</xref>] . Polyunsaturated unsaturated fats (PUFA) in diet lower triglyceride (TG), very low-density lipoprotein cholesterol (VLDL-C), low-den- sity lipoprotein cholesterol (LDL-C), and furthermore high-density lipoprotein cholesterol (HDL-C) [<xref ref-type="bibr" rid="scirp.51222-ref14">14</xref>] . Tayyab et al., in 1991 watched that saturated fats raised the serum total cholesterol (TC), mono unsaturated fatty acids (MUFA) expanded HDL-C and PUFA diminished both TC and HDL-C. Lifted LDL-C and diminished HDL-C in plasma have been separately recognized to be connected with expanded danger for CHD in men [<xref ref-type="bibr" rid="scirp.51222-ref15">15</xref>] .</p><p>The vital basic constituent in the cell layer of numerous vertebrates is cholesterol [<xref ref-type="bibr" rid="scirp.51222-ref16">16</xref>] .</p><p>BMI is calculated by the following formula:</p><disp-formula id="scirp.51222-formula346"><graphic  xlink:href="http://html.scirp.org/file/2-1980149x5.png"  xlink:type="simple"/></disp-formula><p>An attractive BMI as indicated by the WHO (1998), prescribed cut-offs for Asians is considered to be between 18.5 and 22.9 kg/m<sup>2</sup>. A BMI of 23 - 24.9 kg/m<sup>2</sup> is defined as “overweight” and BMI &gt; 25 kg/m<sup>2</sup> as “obese” [<xref ref-type="bibr" rid="scirp.51222-ref17">17</xref>] -[<xref ref-type="bibr" rid="scirp.51222-ref18">18</xref>] .</p><p>Other than all the preventive measures that are screening for indices of obesity and dyslipidemia, the prevalence of the obesity and its inconveniences is expanding worldwide and is one of the major public health issues. The reason for this study was to focus on the relationship of lipid profile in obese versus non-obese patients and to focus on the frequency of dyslipidemia in these two gatherings.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>The present study was conducted at Federal Urdu University of Arts, Science and Technology (FUUAST) Gulshan e Iqbal Campus Karachi; all volunteers were students, and faculty members of the university.</p><p>Total of 40 subjects including 30 obese male and females and 10 controls (non-obese) male and female with aged 18 - 50 were randomly selected for the study. All subjects were from different socio-economic groups. To remove bias, subjects with known hypertension, diabetes, alcoholics etc. were excluded from the study. The duration of the study was seven months. A written informed consent was obtained from each subject and the procedure pertaining to study was explained to each subject. All procedures for the study were approved by the ethical committee of University. A desirable BMI according to the WHO (1998) [<xref ref-type="bibr" rid="scirp.51222-ref19">19</xref>] recommended cut-offs for Asians is considered to be between 18.5 and 22.9 kg/m<sup>2</sup>. A BMI of 23 - 24.9 kg/m<sup>2</sup> is defined as “overweight” and BMI &gt; 25 kg/m<sup>2</sup> as “obese” [<xref ref-type="bibr" rid="scirp.51222-ref20">20</xref>] .</p><p>Serum samples were collected after 12 hours of fasting. Cholesterol levels were determined by using commercially available kit (LINEAR CHEMICALS S.L. Joquim Costa 18 2<sup>a</sup> planta. Montgat, Barcelona, SPAIN website http://www.linear.es).</p></sec><sec id="s3"><title>3. Results</title><p>The study has been focused to investigate the comparison of age; body mass index and total cholesterol, in obese and non-obese groups in the sera were pertinently assessed separately in both groups.</p><sec id="s3_1"><title>3.1. Total Obese Versus Total Control</title><sec id="s3_1_1"><title>3.1.1. Age</title><p>The <xref ref-type="table" rid="table1">Table 1</xref> presents pattern of age in control and obese groups. The age of obese subjects ranged at 29.47 &#177; 1.99 in subjects of both gender and 21.10 &#177; 0.547 in non-obese subjects of both gender. The results are statistically significant (P &lt; 0.001). The subjects were in close range and well suited for the comparisons.</p></sec><sec id="s3_1_2"><title>3.1.2. Body Mass Index (BMI)</title><p>The <xref ref-type="table" rid="table2">Table 2</xref> presents pattern of Body Mass Index (BMI) in control and obese groups. Body mass index averaged at 19.96 &#177; 0.432 kg/m&#178; and 35.41 &#177; 0.878 kg/m&#178; in the control and obese subjects respectively. Results are highly significant (P &lt; 0.001). Body mass index of control subjects was lower as compare to obese.</p></sec><sec id="s3_1_3"><title>3.1.3. Total Cholesterol (T-CH)</title><p>The <xref ref-type="table" rid="table3">Table 3</xref> presents pattern of total cholesterol in control and obese groups. A concentration of total cholester- ol was 173.3 &#177; 14.0 mg/dl in and 202.6 &#177; 14.3 mg/dl in the control and obese subjects correspondingly (P &gt; 0.05). An elevated level of cholesterol concentration was experienced in obese subjects, as compared to control. In summary from the above results of this fraction in both groups it is quite obvious that obesity may effect on cholesterol concentration.</p></sec></sec><sec id="s3_2"><title>3.2. Obese Females versus Control Females</title><p>The data of obese and non obese subjects were categories according to gender that is into males and female for further study.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Age of obese and control persons</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age</th><th align="center" valign="middle" >Total Obese (n = 30)</th><th align="center" valign="middle" >Total Control (n = 10)</th><th align="center" valign="middle" >P Values</th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >29.47 &#177; 1.99 years</td><td align="center" valign="middle" >21.10 &#177; 0.547 years</td><td align="center" valign="middle"  rowspan="3"  >P &lt; 0.001</td></tr><tr><td align="center" valign="middle" >SE Mean</td><td align="center" valign="middle" >1.99</td><td align="center" valign="middle" >0.54</td></tr><tr><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >24.50</td><td align="center" valign="middle" >21.00</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> BMI of obese and control persons</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >BMI</th><th align="center" valign="middle" >Total Obese (n = 30)</th><th align="center" valign="middle" >Total Control (n = 10)</th><th align="center" valign="middle" >P Value</th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >35.41 &#177; 0.878 kg/m&#178;</td><td align="center" valign="middle" >19.96 &#177; 0.432 kg/m&#178;</td><td align="center" valign="middle"  rowspan="3"  >P &lt; 0.001</td></tr><tr><td align="center" valign="middle" >SE Mean</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >0.43</td></tr><tr><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >33.40</td><td align="center" valign="middle" >20.65</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Cholesterol level of obese and control person</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cholesterol</th><th align="center" valign="middle" >Total Obese (n = 30)</th><th align="center" valign="middle" >Total Control (n = 10)</th><th align="center" valign="middle" >P Values</th></tr></thead><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >202.6 &#177; 14.3 mg/dl</td><td align="center" valign="middle" >173.3 &#177; 14.0 mg/dl</td><td align="center" valign="middle"  rowspan="3"  >P &gt; 0.05</td></tr><tr><td align="center" valign="middle" >SE Mean</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >14.0</td></tr><tr><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >187.0</td><td align="center" valign="middle" >174.5</td></tr></tbody></table></table-wrap><p><xref ref-type="table" rid="table4">Table 4</xref> presents the comparative analysis of obese and non obese females.</p><p>In this group total number of obese females were 11 and those of controls were 6 in number with their BMI ranged at 31.836 &#177; 0.211 (obese female) and 19.183 &#177; 0.507 in control/non-obese females. The results were statistically highly significant (P &lt; 0.001). In this group obese and control female were with their mean age ranged at 28.73 &#177; 4.04 and 21.000 &#177; 0.894 respectively. The values were not statistically significant (P &gt; 0.05). Similarly obese females with their cholesterol values were 191.8 &#177; 21.8 and 148.7 &#177; 16.0 in controls. The values were not statistically significant (P &gt; 0.05).</p></sec><sec id="s3_3"><title>3.3. Obese Males versus Control Males</title><p><xref ref-type="table" rid="table5">Table 5</xref> presents the comparative analysis of age, BMI and total Cholesterol of obese and non-obese males. In this group total number of obese males were 19 and that of control males were 4 in number with their BMI ranged at 37.49 &#177; 1.14 (obese male) and BMI ranged at 21.125 &#177; 0.075 (control males).The values were statistically highly significant (P &lt; 0.001). In this group obese males with their age ranged at 29.89 &#177; 2.19 and control males with their age averaged at 21.250 &#177; 0.479. The values were statistically significant (P &lt; 0.01). Similarly obese males and control with their cholesterol level ranged at 208.89 &#177; 19.1 and 128.7 &#177; 8.72 respectively. The values were not statistically significant (P &gt; 0.05).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Obesity increases the predominance of nearly every anomalous lipid profile. Being overweight seems as significant risk factor for chronic diseases, for example, arteriosclerosis, ischemic coronary illness and diabetes, all of which are significant reason for morbidity and mortality [<xref ref-type="bibr" rid="scirp.51222-ref9">9</xref>] . It is an important issue around the world, and its frequency is increasing in both developed and developing countries with changes in dietary habits and activity level [<xref ref-type="bibr" rid="scirp.51222-ref21">21</xref>] . Being overweight and obesity lead to genuine wellbeing results, with the danger expanding logically with body mass record (BMI) and hence danger of cardiovascular sickness, type 2 diabetes and a few diseases includes endometrial, breast and colon cancer [<xref ref-type="bibr" rid="scirp.51222-ref22">22</xref>] .</p><p>Overweight and obesity prompts numerous complexities, including BMI, diabetes, dyslipidemia and hypertension. A large portion of the historic point considers on these cardiovascular danger components have been carried out on western population. It is normal that as the BMI builds, the recurrence of these complications will additionally build. In our study contrast between BMI groups (normal, obese) were discovered just for serum cholesterol level. These results are in accordance with the results of other studies, which demonstrated that obesity is steady parameters related dyslipidemia and cardiovascular hazard in most population [<xref ref-type="bibr" rid="scirp.51222-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.51222-ref20">20</xref>] . In our study mean cholesterol and BMI showed a positive correlation. These findings are in accordance with the results from other western studies [<xref ref-type="bibr" rid="scirp.51222-ref23">23</xref>] -[<xref ref-type="bibr" rid="scirp.51222-ref24">24</xref>] .</p><p>A few studies on Asian population additionally demonstrated the same discoveries [<xref ref-type="bibr" rid="scirp.51222-ref25">25</xref>] . Our study correlation of mean cholesterol with BMI was strong. Mean age in our study was 29.47 &#177; 1.99 years, which is the best representative of adult population. Mean BMI in our study was in the obese range i.e. 35.41 &#177; 0.878 Kg/m<sup>2</sup>. Hus-</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Age, BMI and cholesterol of obese and control females</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Obese Females (n = 11)</th><th align="center" valign="middle" >Control Females (n = 6)</th><th align="center" valign="middle" >P Values</th></tr></thead><tr><td align="center" valign="middle" >Age Mean</td><td align="center" valign="middle" >28.73 &#177; 4.04</td><td align="center" valign="middle" >21.000 &#177; 0.894</td><td align="center" valign="middle" >P &gt; 0.05</td></tr><tr><td align="center" valign="middle" >BMI Mean</td><td align="center" valign="middle" >31.836 &#177; 0.211</td><td align="center" valign="middle" >19.183 &#177; 0.507</td><td align="center" valign="middle" >P &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Cholesterol Mean</td><td align="center" valign="middle" >191.8 &#177; 21.8</td><td align="center" valign="middle" >128.7 &#177; 8.72</td><td align="center" valign="middle" >P &gt; 0.05</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Age, BMI and cholesterol of obese and control males</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameters</th><th align="center" valign="middle" >Obese Males (n = 19)</th><th align="center" valign="middle" >Control Males (n = 4)</th><th align="center" valign="middle" >P Values</th></tr></thead><tr><td align="center" valign="middle" >Age Mean</td><td align="center" valign="middle" >29.89 &#177; 2.19</td><td align="center" valign="middle" >21.250 &#177; 0.479</td><td align="center" valign="middle" >P &lt; 0.01</td></tr><tr><td align="center" valign="middle" >BMI Mean</td><td align="center" valign="middle" >37.49 &#177; 1.14</td><td align="center" valign="middle" >21.125 &#177; 0.075</td><td align="center" valign="middle" >P &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Cholesterol Mean</td><td align="center" valign="middle" >208.89 &#177; 19.1</td><td align="center" valign="middle" >128.7 &#177; 8.72</td><td align="center" valign="middle" >P &gt; 0.05</td></tr></tbody></table></table-wrap><p>sain et al., 2009 reported a mean BMI of more than 28 in diabetics as well as in non-diabetics [<xref ref-type="bibr" rid="scirp.51222-ref26">26</xref>] . Different studies done in our neighboring nations additionally demonstrated high BMI and huge commonness of obesity [<xref ref-type="bibr" rid="scirp.51222-ref27">27</xref>] .</p><p>In a region where most of the population has poor access to good nourishment sustenance, discovering BMI in the overweight reach is disturbing. It demonstrates that notwithstanding sustenance, obesity is connected with other variables like hereditary qualities and lack of activity. Our studies additionally demonstrated that the majority of the people were not performing any exercise. The relationship of BMI and cholesterol in our study is firm modification for age, gender and exercise have likewise demonstrated that in both men and ladies, BMI was connected with cardiovascular danger figures yet the affiliation was no longer significant after age alteration. Like western countries our population is likewise at danger of obesity. BMI ought to be routinely weighed in clinical practice and epidemiological reviews. Our people need formal direction about healthy life style particularly about diet and exercise [<xref ref-type="bibr" rid="scirp.51222-ref28">28</xref>] .</p><p>Rapidly increasing obesity prevalence rates necessitate weight management to be a priority for the prevention and treatment of chronic diseases.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In the present, study we compared the BMI and total cholesterol of non-obese and obese population of Karachi. The results of current study have reflected that BMI and total cholesterol concentration are higher in obese subjects. The increasing trend of obesity in the developing country like Pakistan specifically in females because these are socially subjected to sedentary life pattern is concerning. 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