<?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">OJEpi</journal-id><journal-title-group><journal-title>Open Journal of Epidemiology</journal-title></journal-title-group><issn pub-type="epub">2165-7459</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojepi.2017.71002</article-id><article-id pub-id-type="publisher-id">OJEpi-73399</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>
 
 
  Analysis of Cause of Death in Inner Mongolia of China, 2008-2014
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shuli</surname><given-names>Xing</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>Zhiqiang</surname><given-names>Sun</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maolin</surname><given-names>Du</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>Xuesen</surname><given-names>Shi</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hairong</surname><given-names>Zhang</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>Zhanlong</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xiaoyan</surname><given-names>Zhang</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhihui</surname><given-names>Hao</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhuang</surname><given-names>Su</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>Ying</surname><given-names>Yang</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rong</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yueling</surname><given-names>Hu</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>Juan</surname><given-names>Sun</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff6"><addr-line>Inner Mongolia Maternal and Child Health Care Hospital, Hohhot, China</addr-line></aff><aff id="aff3"><addr-line>The Tumor Hospital of Baotou City, Baotou, China</addr-line></aff><aff id="aff1"><addr-line>Inner Mongolia Medical University, Hohhot, China</addr-line></aff><aff id="aff2"><addr-line>Inner Mongolia Medical University Affiliated Hospital, Hohhot, China</addr-line></aff><aff id="aff4"><addr-line>The First Affiliated Hospital of Baotou Medical College, Baotou, China</addr-line></aff><aff id="aff7"><addr-line>Department of Social and Environmental Medicine, Osaka University, Osaka, Japan</addr-line></aff><aff id="aff5"><addr-line>Inner Mongolia People’s Hospital, Hohhot, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>cnsunjuan@aliyun.com(SX)</email>;<email>cnsunjuan@aliyun.com(JS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>05</day><month>12</month><year>2016</year></pub-date><volume>07</volume><issue>01</issue><fpage>10</fpage><lpage>17</lpage><history><date date-type="received"><day>November</day>	<month>22,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>January</month>	<year>8,</year>	</date><date date-type="accepted"><day>January</day>	<month>11,</month>	<year>2017</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>
 
 
  Objective: The aim of our study was to analyze the character of cause of death in Inner Mongolia of China from 2008 to 2014. 
  Methods: We collected data from monitoring points of the Death Registry System (DRS) in Inner Mongolia. We calculated the mortality rates by gender, year and age-specific. We calculated the proportion, the mortality rate and potential years of life lost (PYLL) of various system deaths. 
  Results: During the period 2008-2014, the average crude mortality rate of all cause of death was 539.33/105. The mortality rate increased semilogarithm linearly with age. The top four system deaths were circulatory system, neoplasm, respiratory system and injury. In 2014, the mortality rates of circulatory system were increased and the mortality rates of certain infectious and parasitic diseases, neoplasms, respiratory system, genitourinary system and injury were decreased compared to those in 2008. 
  Conclusion: Through analysis the indicators of proportion, the mortality rate and PYLL indicated that health status of a population in Inner Mongolia was at a better level.
 
</p></abstract><kwd-group><kwd>Cause of Death</kwd><kwd> Mortality Rate</kwd><kwd> PYLL</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Mortality rate is one of the indicators that reflect health status of a population [<xref ref-type="bibr" rid="scirp.73399-ref1">1</xref>] . The age-standardized mortality rate of all cause is declined in most regions in world including China in 2000 compare to 2012 [<xref ref-type="bibr" rid="scirp.73399-ref2">2</xref>] . Ischaemic heart disease, stroke, chronic obstructive lung disease (COPD) and lower respiratory infections were the top leading cause of death in the past decade [<xref ref-type="bibr" rid="scirp.73399-ref2">2</xref>] .</p><p>The mortality rate of heart disease and stroke is decreased in America [<xref ref-type="bibr" rid="scirp.73399-ref3">3</xref>] . The mortality rate of cancer declined in some countries in recent years [<xref ref-type="bibr" rid="scirp.73399-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.73399-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.73399-ref6">6</xref>] . Cancer accounts for more deaths than heart disease in persons younger than 85 years in America in 2010 [<xref ref-type="bibr" rid="scirp.73399-ref7">7</xref>] and is the biggest killer of people under 75 in England [<xref ref-type="bibr" rid="scirp.73399-ref4">4</xref>] . Digestive organ cancers are the biggest contributor to all cancer deaths in Inner Mongolia in 2008-2010 [<xref ref-type="bibr" rid="scirp.73399-ref8">8</xref>] .</p><p>The proportion of injury is the fifth leading cause of death in China [<xref ref-type="bibr" rid="scirp.73399-ref9">9</xref>] . The injury mortality rate decreased for women in recent year in China [<xref ref-type="bibr" rid="scirp.73399-ref10">10</xref>] .</p><p>Mortality statistics were needed for policy formulation in order to improve the status of health of the people, so we designed to analyze the character of cause of death by using data of Inner Mongolia from 2008-2014. Our result might provide a reference for local government to establish strategies on prevention of disease and priorities of disease prevention.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Data Source</title><p>Annual cause of death data was provided from the Death Registry System (DRS) which were established by the Chinese Ministry of Health and the Center for Disease Control (CDC) of Inner Mongolia. We use all data of monitoring points in 2008-2014. Data of each death collected included demographics, place of residence, underlying cause of death and related information etc. Codes from the 10<sup>th</sup> version of International Classification of Diseases (ICD-10) was used to define the underlying cause of death, including: Certain infectious and parasitic diseases (codes A00-B99), Neoplasms (codes C00-D48), Endocrine, nutritional and metabolic diseases (codes E00-E90), Diseases of circulatory system (codes I00-I99), Diseases of respiratory system (codes J00-J99), Diseases of digestive system (codes K00-K93), Diseases of genitourinary system (codes N00-N99), Injury (codes S00-Y98), Other causes (codes D50-D89, F00-H95, L00-M99, O00- R99). The population data provided by CDC of Inner Mongolia.</p></sec><sec id="s2_2"><title>2.2. Statistical Analysis</title><p>The mortality rates were calculated as the mean annual number per 100,000 persons by gender, year and age-specific. The age-specific mortality rate was calculated from the age of 5. The proportion of various system deaths for men and women were computed and plotted on a graph, the mortality and potential years of life lost (PYLL) also were calculated. PYLL was specifically calculated as PYLL = Σ(ai &#215; di), where ai = loss of life-years for a certain age group, i, and di = the number of deaths in that particular age group [<xref ref-type="bibr" rid="scirp.73399-ref11">11</xref>] . The change of mortality rate in various system cause of death for men and women was calculated by the mortality rate in 2008/in 2014. All statistical analyses were performed using SPSS 13.0 software (SPSS, Chicago, Illinois, USA). The Chi-squared test was used to determine whether the differences for men and women were statistically significant, and the test was also used to examine trends of annual change in crude rates. Two-sided P values were reported and were considered to indicate statistical significance when they were less than 0.05.</p></sec></sec><sec id="s3"><title>3. Result</title><p>During the period 2008-2014, the average crude mortality rate of all cause of death was 539.33/10<sup>5</sup>. The average crude mortality rate in men was 652.52/10<sup>5</sup>, which was 1.57-fold higher than in women (416.32/10<sup>5</sup>). The difference was statistically significant (χ<sup>2</sup> = 6039.66, P &lt; 0.001). <xref ref-type="fig" rid="fig1">Figure 1</xref> showed time trends in total mortality for men and women. Over the past 7 years, the change of curve in men is similar to women, with some fluctuations. The mortality rate was lowest in 2009, 618.68/10<sup>5</sup> in men and 365.66/10<sup>5</sup> in women, the highest mortality rate was 709.49/10<sup>5</sup> in men in 2011 and 451.61/10<sup>5</sup> in women in 2012.</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> showed age-specific mortality rate for men and women in 2008 and 2014. The variance trend of curve was similar for men and women in 2008 and 2014. The mortality rate increased semilogarithm linearly with age.</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Crude mortality rate for men and women in Inner Mongolia of China, 2008-2014</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1890232x3.png"/></fig><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Age-specific mortality rate for men and women in Inner Mongolia of China between 2008 and 2014</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1890232x4.png"/></fig><p>During the seven years, circulatory system, neoplasm, respiratory system and injury were the top four system deaths. The percentage for circulatory system was 52.08%, for neoplasm was 22.82%, for respiratory system was 8.39% and for injury was 7.21%. In 2011 injury ranked as the third and the respiratory system ranked as fourth. In men the respiratory system ranked as third, injury ranked as the fourth in 2013. In women the top four system deaths was no change.</p><p><xref ref-type="fig" rid="fig3">Figure 3</xref> showed the proportion of various system deaths for men and women in Inner Mongolia from 2008-2014. The proportions of circulatory system in all causes of death were listed as the first for men and women, responsible for the</p><fig-group id="fig3"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> (a) Proportion of various system death for men in Inner Mongolia, 2008-2014. (b) Proportion of various system death for women in Inner Mongolia, 2008-2014.</title></caption><fig id ="fig3_1"><label>(b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1890232x5.png"/></fig><fig id ="fig3_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-1890232x6.png"/></fig></fig-group><p>half and surpass half of the proportion, followed by neoplasm. Injury ranked as the third for men, followed by diseases of respiratory which ranked the third for women. The proportion of injury was the fourth for women.</p><p><xref ref-type="table" rid="table1">Table 1</xref> showed the mortality and PYLL of various system deaths for men and women in Inner Mongolia from 2008-2014. The mortality and PYLL of disease of circulatory system were the highest for men and women. The mortality rate of diseases of circulatory system in men was 1.40-fold higher than in women. The PYLL of diseases of circulatory system in men was 1.56-fold higher than in women. The mortality rate of neoplasm in men was 1.83-fold higher than in women. The PYLL of neoplasm in men was 1.39-fold higher than in women. The mortality rate of injury in men was 3.69-fold higher than in women. The PYLL of injury in men was 3.53-fold higher than in women.</p><p><xref ref-type="table" rid="table2">Table 2</xref> showed the change of mortality rate in various system cause of death for men and women between 2008 and 2014. In 2014 the mortality rates of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Mortality and PYLL of various system death for men and women in Inner Mongolia, 2008-2014</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Cause of death</th><th align="center" valign="middle"  colspan="2"  >Men</th><th align="center" valign="middle"  colspan="2"  >Women</th><th align="center" valign="middle"  colspan="2"  >Total</th></tr></thead><tr><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >PYLL</td><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >PYLL</td><td align="center" valign="middle" >Mortality</td><td align="center" valign="middle" >PYLL</td></tr><tr><td align="center" valign="middle" >(1/100,000)</td><td align="center" valign="middle" >(person-year)</td><td align="center" valign="middle" >(1/100,000)</td><td align="center" valign="middle" >(person-year)</td><td align="center" valign="middle" >(1/100,000)</td><td align="center" valign="middle" >(person-year)</td></tr><tr><td align="center" valign="middle" >Diseases of circulatory system</td><td align="center" valign="middle" >324.99</td><td align="center" valign="middle" >356,151.02</td><td align="center" valign="middle" >232.93</td><td align="center" valign="middle" >228,190.57</td><td align="center" valign="middle" >280.87</td><td align="center" valign="middle" >589,827.60</td></tr><tr><td align="center" valign="middle" >Neoplasms</td><td align="center" valign="middle" >157.11</td><td align="center" valign="middle" >226,294.42</td><td align="center" valign="middle" >86.04</td><td align="center" valign="middle" >162,265.71</td><td align="center" valign="middle" >123.05</td><td align="center" valign="middle" >399,099.00</td></tr><tr><td align="center" valign="middle" >Injury</td><td align="center" valign="middle" >59.11</td><td align="center" valign="middle" >227,691.09</td><td align="center" valign="middle" >16.93</td><td align="center" valign="middle" >64,530.63</td><td align="center" valign="middle" >38.90</td><td align="center" valign="middle" >303,645.80</td></tr><tr><td align="center" valign="middle" >Diseases of resoiratory system</td><td align="center" valign="middle" >51.47</td><td align="center" valign="middle" >30,064.37</td><td align="center" valign="middle" >38.54</td><td align="center" valign="middle" >28,343.54</td><td align="center" valign="middle" >45.27</td><td align="center" valign="middle" >56,978.30</td></tr><tr><td align="center" valign="middle" >Other causes</td><td align="center" valign="middle" >22.84</td><td align="center" valign="middle" >64,990.03</td><td align="center" valign="middle" >17.40</td><td align="center" valign="middle" >49,639.91</td><td align="center" valign="middle" >20.23</td><td align="center" valign="middle" >114,960.80</td></tr><tr><td align="center" valign="middle" >Diseases of digestive system</td><td align="center" valign="middle" >16.80</td><td align="center" valign="middle" >34,582.82</td><td align="center" valign="middle" >6.85</td><td align="center" valign="middle" >9561.58</td><td align="center" valign="middle" >12.03</td><td align="center" valign="middle" >46,284.70</td></tr><tr><td align="center" valign="middle" >Endocrine, nutritional and metabolic diseases</td><td align="center" valign="middle" >7.55</td><td align="center" valign="middle" >8458.59</td><td align="center" valign="middle" >8.58</td><td align="center" valign="middle" >10,972.62</td><td align="center" valign="middle" >8.05</td><td align="center" valign="middle" >18,605.60</td></tr><tr><td align="center" valign="middle" >Diseases of the genitourinary system</td><td align="center" valign="middle" >6.58</td><td align="center" valign="middle" >11,232.15</td><td align="center" valign="middle" >5.99</td><td align="center" valign="middle" >12,026.65</td><td align="center" valign="middle" >6.30</td><td align="center" valign="middle" >22,934.50</td></tr><tr><td align="center" valign="middle" >Certain infectious and parasitic diseases</td><td align="center" valign="middle" >6.07</td><td align="center" valign="middle" >13,772.23</td><td align="center" valign="middle" >3.05</td><td align="center" valign="middle" >7812.79</td><td align="center" valign="middle" >4.62</td><td align="center" valign="middle" >22,147.10</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The change of mortality rate in various system cause of death for men and women between 2008 and 2014</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Cause of death</th><th align="center" valign="middle"  colspan="2"  >Men</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >Women</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >Total</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >08/14</td><td align="center" valign="middle"  colspan="2"  >Range</td><td align="center" valign="middle" >08/14</td><td align="center" valign="middle"  colspan="2"  >Range</td><td align="center" valign="middle" >08/14</td><td align="center" valign="middle"  colspan="2"  >Range</td></tr><tr><td align="center" valign="middle" >Diseases of circulatory system</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >296.75</td><td align="center" valign="middle" >381.97</td><td align="center" valign="middle" >0.88</td><td align="center" valign="middle" >192.21</td><td align="center" valign="middle" >267.58</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >245.63</td><td align="center" valign="middle" >327.24</td></tr><tr><td align="center" valign="middle" >Neoplasms</td><td align="center" valign="middle" >1.20</td><td align="center" valign="middle" >143.96</td><td align="center" valign="middle" >191.71</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >81.50</td><td align="center" valign="middle" >92.22</td><td align="center" valign="middle" >1.13</td><td align="center" valign="middle" >115.67</td><td align="center" valign="middle" >142.76</td></tr><tr><td align="center" valign="middle" >Injury</td><td align="center" valign="middle" >1.33</td><td align="center" valign="middle" >51.35</td><td align="center" valign="middle" >72.68</td><td align="center" valign="middle" >1.12</td><td align="center" valign="middle" >15.65</td><td align="center" valign="middle" >20.31</td><td align="center" valign="middle" >1.25</td><td align="center" valign="middle" >34.49</td><td align="center" valign="middle" >46.53</td></tr><tr><td align="center" valign="middle" >Diseases of respiratory system</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >47.70</td><td align="center" valign="middle" >55.86</td><td align="center" valign="middle" >1.10</td><td align="center" valign="middle" >32.28</td><td align="center" valign="middle" >42.23</td><td align="center" valign="middle" >1.10</td><td align="center" valign="middle" >42.42</td><td align="center" valign="middle" >48.22</td></tr><tr><td align="center" valign="middle" >Other causes</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >17.38</td><td align="center" valign="middle" >30.22</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >13.03</td><td align="center" valign="middle" >21.06</td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle" >15.25</td><td align="center" valign="middle" >25.82</td></tr><tr><td align="center" valign="middle" >Diseases of digestive system</td><td align="center" valign="middle" >1.23</td><td align="center" valign="middle" >15.58</td><td align="center" valign="middle" >19.23</td><td align="center" valign="middle" >0.80</td><td align="center" valign="middle" >5.76</td><td align="center" valign="middle" >7.43</td><td align="center" valign="middle" >1.08</td><td align="center" valign="middle" >11.02</td><td align="center" valign="middle" >13.12</td></tr><tr><td align="center" valign="middle" >Endocrine, nutritional and metabolic diseases</td><td align="center" valign="middle" >0.79</td><td align="center" valign="middle" >5.99</td><td align="center" valign="middle" >9.43</td><td align="center" valign="middle" >0.97</td><td align="center" valign="middle" >6.43</td><td align="center" valign="middle" >9.26</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >6.20</td><td align="center" valign="middle" >9.09</td></tr><tr><td align="center" valign="middle" >Diseases of the genitourinary system</td><td align="center" valign="middle" >1.63</td><td align="center" valign="middle" >5.02</td><td align="center" valign="middle" >8.17</td><td align="center" valign="middle" >1.44</td><td align="center" valign="middle" >5.21</td><td align="center" valign="middle" >7.69</td><td align="center" valign="middle" >1.53</td><td align="center" valign="middle" >5.18</td><td align="center" valign="middle" >7.93</td></tr><tr><td align="center" valign="middle" >Certain infectious and parasitic diseases</td><td align="center" valign="middle" >1.62</td><td align="center" valign="middle" >4.47</td><td align="center" valign="middle" >10.22</td><td align="center" valign="middle" >1.05</td><td align="center" valign="middle" >2.11</td><td align="center" valign="middle" >5.46</td><td align="center" valign="middle" >1.39</td><td align="center" valign="middle" >3.54</td><td align="center" valign="middle" >7.89</td></tr></tbody></table></table-wrap><p>circulatory system was increased and the mortality rates of certain infectious and parasitic diseases, neoplasms, respiratory system, genitourinary system and injury were decreased compared to those in 2008. The mortality rates of other system were no change.</p></sec><sec id="s4"><title>4. Discussion</title><p>The crude mortality rate in Inner Mongolia was 539.33/10<sup>5</sup>, higher than America (488.4/10<sup>5</sup>) and some Asia countries such as Japan (318.6/10<sup>5</sup>), Republic of Korea (389.1/10<sup>5</sup>) in 2012, lower than China average level (668.2/10<sup>5</sup>), India (1051.2/10<sup>5</sup>) and South Africa (1426/10<sup>5</sup>) [<xref ref-type="bibr" rid="scirp.73399-ref12">12</xref>] . The crude mortality rate in Inner Mongolia from 2008 to 2014 was at a middling level.</p><p>The top four system deaths in Inner Mongolia were diseases of circulatory system, neoplasms, diseases of respiratory system and injury. Circulatory system was the first leading cause of death, followed by neoplasms, this is consistent with previous studies [<xref ref-type="bibr" rid="scirp.73399-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.73399-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.73399-ref14">14</xref>] .</p><p>The mortality rates of various system cause of death were varied between 2008 and 2014. The mortality rate of circulatory system in 2014 was increased compared to that in 2008 in Inner Mongolia, this is consistent with Nunes’s in Brazilian Amazon [<xref ref-type="bibr" rid="scirp.73399-ref15">15</xref>] . Some reports indicated that dietary habits and PM2.5 has significant association with circulatory system diseases [<xref ref-type="bibr" rid="scirp.73399-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.73399-ref17">17</xref>] . Malignant neoplasm mortality rate in China was decreased [<xref ref-type="bibr" rid="scirp.73399-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.73399-ref19">19</xref>] , the trend in Inner Mongolia was consistent with China’s. The mortality rates of injury between 2000 and 2012 were decreased in Europe [<xref ref-type="bibr" rid="scirp.73399-ref12">12</xref>] . The mortality rates of injury in Asia, Africa and Latin America were unstability, the mortality rates were increased in some countries such as Malawi, Somalia and Guyana, the mortality rates were decreased in some countries such as Bahamas, Benin, India and Republic of Korea, the mortality rates were no change in some countries such as Japan, Angola, Morocco, Brazil and America [<xref ref-type="bibr" rid="scirp.73399-ref12">12</xref>] . The mortality rate of injury was decreased in Inner Mongolia and China’s trend was consistent with ours. Inner Mongolia was consistent with China and has experienced rapid economic development in around 2008. The mortality rate of injury was at a high level. An association between economic development and unintentional injury mortality in children and adults was reported in low and middle income countries [<xref ref-type="bibr" rid="scirp.73399-ref20">20</xref>] . The economic development was steady in recent years. Some prevention measures such as enforcement of laws for drinking and driving, use of seat belt and control of pesticides may be the reasons of reductions in injury deaths [<xref ref-type="bibr" rid="scirp.73399-ref21">21</xref>] .</p>Limitations<p>We only analysis the various system cause of death and don’t analysis specific death diseases due to the length of the article.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The proportion, mortality and PYLL of disease of circulatory system in all systems were the highest. The mortality rate of circulatory system was increased in recent years. So local government should establish relevant strategies on prevention of disease in order to decrease the mortality rate. There was a good indication that the mortality rates of neoplasms, certain infectious and parasitic diseases, respiratory system, genitourinary system and injury were decreased.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The study was supported by the Natural Science Foundation of Inner Mongolia, China (grant No. 2016MS0828).</p></sec><sec id="s7"><title>Cite this paper</title><p>Xing, S.L., Sun, Z.Q., Du, M.L., Shi, X.S., Zhang, H.R., Wang, Z.L., Zhang, X.Y., Hao, Z.H., Su, Z., Yang, Y., Liu, R., Hu, Y.L. and Sun, J. (2017) Analysis of Cause of Death in Inner Mongolia of China, 2008-2014. 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