<?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.2015.51008</article-id><article-id pub-id-type="publisher-id">OJEpi-54183</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>
 
 
  Bone Cancer Mortality in Inner Mongolia from 2008 to 2012
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>enfang</surname><given-names>Guo</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>Wenli</surname><given-names>Hao</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>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>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>Yuelin</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>Yuan</surname><given-names>Xia</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>Xiong</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>Juan</surname><given-names>Sun</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Inner Mongolia Medical University, Hohhot, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>cnsunjuan@aliyun.com(JS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>20</day><month>01</month><year>2015</year></pub-date><volume>05</volume><issue>01</issue><fpage>59</fpage><lpage>64</lpage><history><date date-type="received"><day>20</day>	<month>January</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>12</month>	<year>February</year>	</date><date date-type="accepted"><day>17</day>	<month>February</month>	<year>2015</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 assess bone cancer mortality and the related social factors in Inner Mongolia in China. Methods: We obtained data from the Centers for Disease Control in Inner Mongolia from five monitoring points of the Death Registry System in Inner Mongolia from 2008 to 2012. We calculated the crude mortality rate for bone cancer. The χ2 test was used to examine differences in bone cancer mortality rates between sexes and years. Unconditional logistic regressions were applied to analyze the effect of socio-demographic characteristics by sex. Results: Between 2008 and 2012, the crude mortality rate of bone cancer was 1.12/100000 (95% confidence interval = 1.02-1.21). The bone cancer mortality was 2.24 in men and 1.25 in women, resulting in a male-female ratio of 1.8. No between-year difference in the mortality rate was observed between 2008 and 2012 (men: χ2 = 4.65, P = 0.325; women: χ2 = 2.21, P = 0.698). In general, mortality increased with increasing age. People with a lower education level exhibited an increased risk of bone cancer among both men and women. Jobs involving extensive manual labor decreased the likelihood of bone cancer mortality, and the odds ratio was higher for men than women (0.6 vs. 0.45). Unmarried people had a higher risk for bone cancer than married people. Conclusion: The mortality rate of bone cancer was not significantly different between men and women from 2008 to 2012. The risk of bone cancer increased with age among both sexes. Unmarried people and those with a low education status had an elevated risk of bone cancer, whereas employment in a field involving extensive manual labor appeared to be a protective factor against bone cancer.
 
</p></abstract><kwd-group><kwd>Bone Cancer</kwd><kwd> Mortality</kwd><kwd> Cause of Death</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Bone cancer is rare, comprising less than 1% of all cancers; however, it is the seventh most common type of cancer in adolescents, representing 5% of all cancers in those aged 0 - 19 years [<xref ref-type="bibr" rid="scirp.54183-ref1">1</xref>] . Because the incidence of bone cancer is clearly age-dependent, an analysis of its incidence by age groups would be more meaningful [<xref ref-type="bibr" rid="scirp.54183-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref3">3</xref>] . Bone cancer imposes the risk of permanent restrictions in mobility, reduced function or even the loss of a limb, and possible physical disfigurement [<xref ref-type="bibr" rid="scirp.54183-ref4">4</xref>] . Reported or proposed risk factors for bone cancer include age, male sex, education, occupation, marital status, and area of residence [<xref ref-type="bibr" rid="scirp.54183-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref5">5</xref>] . There is marked geographic variation observed in the prevalence of Paget’s disease, with a high prevalence noted in the UK, Australia, and North America and a lower prevalence observed in Asia and the Middle East [<xref ref-type="bibr" rid="scirp.54183-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref7">7</xref>] .</p><p>Hence, our study was designed to assess bone cancer mortality rates and the associated social factors in the Inner Mongolia region of China. The data covered a large population and reflected the most recent status in Inner Mongolia.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Data Source</title><p>We obtained data covering the period 2008-2012 based on International Classification of Diseases, Tenth Revision (ICD-10) codes from the Death Registry System (DRS) maintained by the Inner Mongolia Centers for Disease Control and Prevention (CDC) [<xref ref-type="bibr" rid="scirp.54183-ref8">8</xref>] . The system collects data from five monitoring points of the DRS in Inner Mongolia, namely Kailu County, Bairin Youqi, Sonid Youqi, Muslims District, and Linhe District [<xref ref-type="bibr" rid="scirp.54183-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref10">10</xref>] .</p><p>The ICD-10 codes for bone cancer used in this study were as follows: C40, malignant neoplasm of bone and articular cartilage of limbs; and C41, malignant neoplasm of bone and articular cartilage of other and unspecified sites. The annual midyear population figures between 2008 and 2012 were obtained from the CDC of Inner Mongolia to calculate age-specific mortality rates and the annual mortality rate per 100,000 people. Occupational status, marital status, and location of residence (urban/rural) were chosen as the indicators to assess the demographic characteristics of bone cancer mortality.</p></sec><sec id="s2_2"><title>2.2. Statistical Analysis</title><p>The bone cancer mortality rate (per 100,000 people) and corresponding 95% confidence interval (CI) were calculated. A line graph was drawn to illustrate the age-specific mortality rate, and a histogram was used to illustrate bone cancer mortality rates from 2008 to 2012 by sex. The χ<sup>2</sup> test was used to examine differences between sexes and years in bone cancer mortality rates. Unconditional logistic regressions were applied to analyze the effect of socio-demographic characteristics by sex. Odds ratios (ORs) and corresponding 95% CIs were calculated. The variables selected from the DRS included age, marital status, occupation status, education level, and area of residence. Marital status was divided into married and unmarried, with married taken as the reference group. Occupation status was divided into light and extensive manual labor, with light manual labor taken as the reference group. Education level was divided into illiterate and primary school education and middle school or higher, with middle school or higher taken as the reference group. Area of residence was divided into urban and rural, with urban taken as the reference group.</p><p>Microsoft Excel and SPSS 13.0 statistical software were used for data management and analysis. P ≤ 0.05 was considered statistically significant throughout this study.</p></sec></sec><sec id="s3"><title>3. Results</title><p>During the period 2008-2012, the crude bone cancer mortality rate was 1.12/100000 (95% CI = 1.02 - 1.21). The mortality rate by sex was 2.24 in men and 1.25 in women, resulting in a male-female ratio of 1.8.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows that by sex, the crude bone cancer mortality rate was higher among men than among women between 2008 and 2012, although the male-female ratio decreased over time. The ratio of the bone cancer mortality rate between the sexes was 2.9 in 2008, versus 1.4 in 2012. Meanwhile, no significant between-year difference in the mortality rate was observed between 2008 and 2012 (men: χ<sup>2</sup> = 4.65, P = 0.325; women: χ<sup>2</sup> = 2.21, P = 0.698).</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> presents the age-related mortality rates for bone cancer by sex at five monitoring points from 2008</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Crude bone cancer mortality rates at five monitoring points in Inner Mongolia between 2008 and 2012 for men and women</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-1890150x6.png"/></fig><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Age-related mortality rates for bone cancer by sex at five monitoring points between 2008 and 2012 for men and women</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/8-1890150x7.png"/></fig><p>to 2012. In general, mortality increased with increasing age. There was a sharp upward trend for men and women aged 50 years old and older. Meanwhile, the mortality rate peaked in women aged 40 - 50 years, who exhibited a higher rate than their male counterparts.</p><p><xref ref-type="table" rid="table1">Table 1</xref> shows the results of multivariate analyses of socio-demographic characteristics and the risk of bone cancer for men and women separately. Men and women with a lower education level exhibited an increased risk of bone cancer. Workers in fields involving extensive manual labor displayed a lower risk of bone cancer mortality, although the OR was higher for men than women (0.6 vs. 0.45). Unmarried people had a higher risk of bone cancer than married people. There was no statistically significant relationship between living in a rural or urban area and the risk of bone cancer.</p></sec><sec id="s4"><title>4. Discussion</title><p>The bone cancer mortality rate in Inner Mongolia was higher than that in Western countries [<xref ref-type="bibr" rid="scirp.54183-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref11">11</xref>] but lower</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Logistic regression analysis of socio-demographic characteristics for bone cancer mortality according to sex</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Men</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Women</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Characteristic</td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >95% CI</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >OR</td><td align="center" valign="middle" >95% CI</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Unmarried</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >1.58</td><td align="center" valign="middle" >1.18 - 5.18</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.046</td><td align="center" valign="middle" >2.67</td><td align="center" valign="middle" >1.02 - 7.03</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Occupation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Extensive manual labor</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.54 - 0.89</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.032</td><td align="center" valign="middle" >0.45</td><td align="center" valign="middle" >0.22 - 0.94</td></tr><tr><td align="center" valign="middle" >Light manual labor</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Education level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Illiterate and primary school</td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >3.5</td><td align="center" valign="middle" >3.20 - 3.83</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td><td align="center" valign="middle" >3.87</td><td align="center" valign="middle" >3.28 - 4.58</td></tr><tr><td align="center" valign="middle" >Middle school and higher</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Area of residence</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Urban</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Rural</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Abbreviations: OR―odds ratio; CI―confidence interval.</p><p>than that in some Asian countries [<xref ref-type="bibr" rid="scirp.54183-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref12">12</xref>] . In our study, the bone cancer mortality rate was consistently higher for men than for women from 2008 to 2012 (2.23 vs. 1.79). However, the rate was lower than the world average (2.27 - 2.39 and 3.3 - 4.6 per million individuals for men and women, respectively) [<xref ref-type="bibr" rid="scirp.54183-ref3">3</xref>] .</p><p>This study found that the risk of bone cancer was greater in women than in men younger than 40 - 50 years, whereas in men and women older than 50 years, a sharp upward trend in bone cancer risk was observed. Some previous findings supported our result [<xref ref-type="bibr" rid="scirp.54183-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref3">3</xref>] . This suggests that the etiology of bone cancer may be hormonally driven, leading to differences in skeletal growth between men and women, especially among young people [<xref ref-type="bibr" rid="scirp.54183-ref13">13</xref>] . Older people have a higher risk for bone cancer death. Vitamin D deficiency is recognized as pandemic, and the elderly may be particularly affected [<xref ref-type="bibr" rid="scirp.54183-ref14">14</xref>] . It is theoretically possible that vitamin D deficiency could contribute to the risk of bone cancer, as vitamin D is required for bone development and vitamin D deficiency has been associated with bone and other cancers [<xref ref-type="bibr" rid="scirp.54183-ref15">15</xref>] . Different environmental and/or genetic risk factors could also be involved in the development of bone cancer in the elderly [<xref ref-type="bibr" rid="scirp.54183-ref3">3</xref>] .</p><p>Bone cancer rates were highest among the lower educated segment of the population. This finding is consistent with most existing studies [<xref ref-type="bibr" rid="scirp.54183-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.54183-ref17">17</xref>] . People with a lower education level experience a higher burden of cancer [<xref ref-type="bibr" rid="scirp.54183-ref17">17</xref>] . By contrast, a high level of education may be linked to increased knowledge of health or greater physical activity. Physical activity may help to maintain bone health [<xref ref-type="bibr" rid="scirp.54183-ref18">18</xref>] . Our result also illustrated that people employed in fields involving extensive manual labor had a lower risk of bone cancer mortality. Physical activity among people employed in fields involving extensive manual labor may result in greater bone density [<xref ref-type="bibr" rid="scirp.54183-ref19">19</xref>] .</p><p>The findings of our study illustrated that unmarried people had a higher risk of bone cancer than married people. Reports on health and mortality by marital status have consistently identified that unmarried individuals generally report poorer health, and they have greater risks of cancer mortality than their married counterparts. A study reported that unmarried patients are at significantly higher risk of presentation with metastatic cancer [<xref ref-type="bibr" rid="scirp.54183-ref20">20</xref>] . Caring and helpful spousal behaviors contribute to physical health [<xref ref-type="bibr" rid="scirp.54183-ref21">21</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, we reported the characteristics of bone cancer in Inner Mongolia from 2008 to 2012. The mortality rate of bone cancer was not significantly difference between men and women during this period. The risk of bone cancer increased with increasing age in both men and women. Unmarried people and those with a low education status had a greater risk of bone cancer. Meanwhile, employment in a field involving extensive manual labor appeared protective against bone cancer. Further studies are needed to assess more recent trends in bone cancer mortality.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This work was supported by Inner Mongolia Autonomous Region Colleges and Universities of Science and Technology Research Projects (No. NJZY13415), the Inner Mongolia Medical University Technology million project (No. NY2011BW006), and the Natural Science Foundation of Inner Mongolia in China (2013MS1124).</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.54183-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Li, J., Thompson, T.D., Miller, J.W., Pollack, L.A. and Stewart, S.L. (2008) Cancer Incidence among Children and Adolescents in the United States, 2001-2003. 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