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<article article-type="research-article" dtd-version="1.0" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">kjhp</journal-id>
<journal-title-group>
<journal-title>Korean Journal of Health Promotion</journal-title>
<abbrev-journal-title>Korean J Health Promot</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2234-2141</issn>
<issn pub-type="epub">2093-5676</issn>
<publisher>
<publisher-name>The Korean Society of Health Promotion and Disease Prevention</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.15384/kjhp.2018.18.3.127</article-id>
<article-id pub-id-type="publisher-id">kjhp-18-127</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Gender Perspectives on the Relationship between Red and Processed Meat Intake and Colorectal Cancer: A Systematic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Lee</surname><given-names>Han Na</given-names></name>
<xref ref-type="aff" rid="aff1-kjhp-18-127"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Lee</surname><given-names>Jung Eun</given-names></name>
<xref ref-type="aff" rid="aff2-kjhp-18-127"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3-kjhp-18-127"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Kang</surname><given-names>Minji</given-names></name>
<xref ref-type="aff" rid="aff1-kjhp-18-127"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Shim</surname><given-names>Jae Eun</given-names></name>
<xref ref-type="aff" rid="aff4-kjhp-18-127"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5-kjhp-18-127"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name name-style="western" xml:lang="en"><surname>Paik</surname><given-names>Hee-Young</given-names></name>
<xref ref-type="aff" rid="aff1-kjhp-18-127"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2-kjhp-18-127"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c1-kjhp-18-127"/>
</contrib>
<aff id="aff1-kjhp-18-127"><label>1</label>Center for Gendered Innovations in Science and Technology Research (GISTeR), Korea Federation of Women&#x0027;s Science &#x0026; Technology Associations, Seoul, <country>Korea</country></aff>
<aff id="aff2-kjhp-18-127"><label>2</label>Department of Food and Nutrition, Seoul National University, Seoul, <country>Korea</country></aff>
<aff id="aff3-kjhp-18-127"><label>3</label>Research Institute of Human Ecology, Seoul National University, Seoul, <country>Korea</country></aff>
<aff id="aff4-kjhp-18-127"><label>4</label>Department of Food and Nutrition, Daejeon University, Daejeon, <country>Korea</country></aff>
<aff id="aff5-kjhp-18-127"><label>5</label>Daejeon Dong-gu Center for Children&#x0027;s Food Service Management, Daejeon, <country>Korea</country></aff>
</contrib-group>
<author-notes>
<corresp id="c1-kjhp-18-127">&#xFFED; Corresponding author: Hee-Young Paik, ScD Center for Gendered Innovations in Science and Technology Researches (GISTeR), Korea Federation of Women&#x0027;s Science &#x0026; Technology Associations, 22, Teheran-ro 7-gil, Gangnam-gu, Seoul 06130, Korea Tel: &#x002B;82-2-565-3701, Fax: &#x002B;82-2-3452-2912 E-mail: <email>hypaik@kofwst.org</email></corresp>
<fn><p>&#xFFED; This research was supported by Support Program for Women in Science, Engineering and Technology through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2016H1C3A1903202).</p></fn>
</author-notes>
<pub-date pub-type="ppub">
<month>01</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="epub">
<day>10</day>
<month>01</month>
<year>2018</year>
</pub-date>
<volume>18</volume>
<issue>3</issue>
<fpage>127</fpage>
<lpage>137</lpage>
<history>
<date date-type="received"><day>26</day><month>07</month><year>2018</year></date>
<date date-type="accepted"><day>19</day><month>09</month><year>2018</year></date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2018 The Korean Society of Health Promotion and Disease Prevention</copyright-statement>
<copyright-year>2018</copyright-year>
<license><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0">http://creativecommons.org/licenses/by-nc/3.0</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license>
</permissions>
<abstract xml:lang="en">
<title>Abstract</title>
<sec>
<title>Background</title>
<p>Men and women choose different food items, and consume different amounts of food, due to biological, cultural, and social differences. However, when dietary assessment instruments are developed, gender differences in food selection and/or the portion sizes are often not considered.</p>
</sec>
<sec>
<title>Methods</title>
<p>Prospective cohort studies with men and women that examined the association between red or processed meat intake and colorectal cancer and published up to July 2017, were identified using PubMed. Studies were categorized as gender-specific (GS) group if the Food Frequency Questionnaire was developed using gender-specific data, and as not gender-specific (NGS) group if not gender-specific data were used.</p>
</sec>
<sec>
<title>Results</title>
<p>For cohort studies that reported combined intake estimates of men and women, a 100 g/day increment in red and processed meat intake was positively associated with a risk of colorectal or colon cancer in GS group (relative risk [RR], 1.23; 95&#x0025; confidence interval [CI], 1.14&#x2013;1.32) but not in NGS group (RR, 1.13; 95&#x0025; CI, 0.90&#x2013;1.35). For processed meat, the RR for 50 g/day increase was 1.28 (95&#x0025; CI, 1.15&#x2013;1.40) in GS group and 1.15 (95&#x0025; CI, 1.03&#x2013;1.27) in NGS group.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Gender differences need to be considered during development of dietary assessment tools because this may improve the quality of the findings of nutritional epidemiological studies.</p>
</sec>
</abstract>
<kwd-group xml:lang="en">
<kwd>Gender</kwd>
<kwd>Red meat</kwd>
<kwd>Processed meat</kwd>
<kwd>Colorectal neoplasms</kwd>
<kwd>Surveys and questionnaires</kwd>
</kwd-group>
</article-meta>
</front>
<back>
<ref-list xml:lang="en">
<title>References</title>
<ref id="b1-kjhp-18-127"><label>1</label><element-citation publication-type="book"><collab>Gender, women and Health</collab> <source>[Internet]</source> <publisher-loc>Geneva</publisher-loc> <publisher-name>World Health Organization</publisher-name> <year>2015</year> <comment>[Accessed August 31, 2017] Available from:</comment> <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.legal-tools.org/doc/a33dc3/pdf/">https://www.legal-tools.org/doc/a33dc3/pdf/</ext-link></element-citation></ref>
<ref id="b2-kjhp-18-127"><label>2</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Schiebinger</surname> <given-names>L</given-names></name> <name><surname>Schraudner</surname> <given-names>M</given-names></name></person-group> <article-title>Interdisciplinary approaches to achieving gendered innovations in science, medicine, and engineering</article-title> <source>Interdiscip Sci Rev</source> <year>2011</year><volume>36</volume> <issue>2</issue> <fpage>154</fpage><lpage>67</lpage></element-citation></ref>
<ref id="b3-kjhp-18-127"><label>3</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bates</surname> <given-names>CJ</given-names></name> <name><surname>Prentice</surname> <given-names>A</given-names></name> <name><surname>Finch</surname> <given-names>S</given-names></name></person-group> <article-title>Gender differences in food and nutrient intakes and status indices from the National Diet and Nutrition Survey of people aged 65 years and over</article-title> <source>Eur J Clin Nutr</source> <year>1999</year><volume>53</volume> <issue>9</issue> <fpage>694</fpage><lpage>9</lpage></element-citation></ref>
<ref id="b4-kjhp-18-127"><label>4</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wardle</surname> <given-names>J</given-names></name> <name><surname>Haase</surname> <given-names>AM</given-names></name> <name><surname>Steptoe</surname> <given-names>A</given-names></name> <name><surname>Nillapun</surname> <given-names>M</given-names></name> <name><surname>Jonwutiwes</surname> <given-names>K</given-names></name> <name><surname>Bellisle</surname> <given-names>F</given-names></name></person-group> <article-title>Gender differences in food choice: the contribution of health beliefs and dieting</article-title> <source>Ann Behav Med</source> <year>2004</year><volume>27</volume> <issue>2</issue> <fpage>107</fpage><lpage>16</lpage></element-citation></ref>
<ref id="b5-kjhp-18-127"><label>5</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Turrell</surname> <given-names>G</given-names></name></person-group> <article-title>Determinants of gender differences in dietary behavior</article-title> <source>Nutr Res</source> <year>1997</year><volume>17</volume> <issue>7</issue> <fpage>1105</fpage><lpage>20</lpage></element-citation></ref>
<ref id="b6-kjhp-18-127"><label>6</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brug</surname> <given-names>J</given-names></name> <name><surname>Tak</surname> <given-names>NI</given-names></name> <name><surname>te Velde</surname> <given-names>SJ</given-names></name> <name><surname>Bere</surname> <given-names>E</given-names></name> <name><surname>de Bourdeaudhuij</surname> <given-names>I</given-names></name></person-group> <article-title>Taste preferences, liking and other factors related to fruit and vegetable intakes among schoolchildren: results from observational studies</article-title> <source>Br J Nutr</source> <year>2008</year><volume>99</volume> <issue>Suppl 1</issue> <fpage>S7</fpage><lpage>14</lpage></element-citation></ref>
<ref id="b7-kjhp-18-127"><label>7</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Blaak</surname> <given-names>E</given-names></name></person-group> <article-title>Gender differences in fat metabolism</article-title> <source>Curr Opin Clin Nutr Metab Care</source> <year>2001</year><volume>4</volume> <issue>6</issue> <fpage>499</fpage><lpage>502</lpage></element-citation></ref>
<ref id="b8-kjhp-18-127"><label>8</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tarnopolsky</surname> <given-names>MA</given-names></name></person-group> <article-title>Females and males: should nutritional recommendations be gender specific?</article-title> <source>Schweiz Z Med Traumatol</source> <year>2003</year><volume>51</volume> <issue>1</issue> <fpage>39</fpage><lpage>46</lpage></element-citation></ref>
<ref id="b9-kjhp-18-127"><label>9</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wu</surname> <given-names>BN</given-names></name> <name><surname>O&#x0027;Sullivan</surname> <given-names>AJ</given-names></name></person-group> <article-title>Sex differences in energy metabolism need to be considered with lifestyle modifications in humans</article-title> <source>J Nutr Metab</source> <year>2011</year><volume>2011</volume> <fpage>391809</fpage></element-citation></ref>
<ref id="b10-kjhp-18-127"><label>10</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>H</given-names></name> <name><surname>Kang</surname> <given-names>M</given-names></name> <name><surname>Song</surname> <given-names>WO</given-names></name> <name><surname>Shim</surname> <given-names>JE</given-names></name> <name><surname>Paik</surname> <given-names>HY</given-names></name></person-group> <article-title>Gender analysis in the development and validation of FFQ: a systematic review</article-title> <source>Br J Nutr</source> <year>2016</year><volume>115</volume> <issue>4</issue> <fpage>666</fpage><lpage>71</lpage></element-citation></ref>
<ref id="b11-kjhp-18-127"><label>11</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Willett</surname> <given-names>W</given-names></name></person-group> <source>Nutritional epidemiology</source> <edition>3rd ed.</edition> <publisher-loc>New York</publisher-loc> <publisher-name>Oxford University Press</publisher-name> <year>2012</year> <fpage>70</fpage><lpage>141</lpage></element-citation></ref>
<ref id="b12-kjhp-18-127"><label>12</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bouvard</surname> <given-names>V</given-names></name> <name><surname>Loomis</surname> <given-names>D</given-names></name> <name><surname>Guyton</surname> <given-names>KZ</given-names></name> <name><surname>Grosse</surname> <given-names>Y</given-names></name> <name><surname>Ghissassi</surname> <given-names>FE</given-names></name> <name><surname>Benbrahim-Tallaa</surname> <given-names>L</given-names></name>, <etal/></person-group> <article-title>Carcinogenicity of consumption of red and processed meat</article-title> <source>Lancet Oncol</source> <year>2015</year><volume>16</volume> <issue>16</issue> <fpage>1599</fpage><lpage>600</lpage></element-citation></ref>
<ref id="b13-kjhp-18-127"><label>13</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stroup</surname> <given-names>DF</given-names></name> <name><surname>Berlin</surname> <given-names>JA</given-names></name> <name><surname>Morton</surname> <given-names>SC</given-names></name> <name><surname>Olkin</surname> <given-names>I</given-names></name> <name><surname>Williamson</surname> <given-names>GD</given-names></name> <name><surname>Rennie</surname> <given-names>D</given-names></name> <etal/></person-group> <article-title>Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group</article-title> <source>JAMA</source> <year>2000</year><volume>283</volume> <issue>15</issue> <fpage>2008</fpage><lpage>12</lpage></element-citation></ref>
<ref id="b14-kjhp-18-127"><label>14</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sato</surname> <given-names>Y</given-names></name> <name><surname>Nakaya</surname> <given-names>N</given-names></name> <name><surname>Kuriyama</surname> <given-names>S</given-names></name> <name><surname>Nishino</surname> <given-names>Y</given-names></name> <name><surname>Tsubono</surname> <given-names>Y</given-names></name> <name><surname>Tsuji</surname> <given-names>I</given-names></name></person-group> <article-title>Meat consumption and risk of colorectal cancer in Japan: the Miyagi cohort study</article-title> <source>Eur J Cancer Prev</source> <year>2006</year><volume>15</volume> <issue>3</issue> <fpage>211</fpage><lpage>8</lpage></element-citation></ref>
<ref id="b15-kjhp-18-127"><label>15</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>DerSimonian</surname> <given-names>R</given-names></name> <name><surname>Laird</surname> <given-names>N</given-names></name></person-group> <article-title>Meta-analysis in clinical trials</article-title> <source>Control Clin Trials</source> <year>1986</year><volume>7</volume> <issue>3</issue> <fpage>177</fpage><lpage>88</lpage></element-citation></ref>
<ref id="b16-kjhp-18-127"><label>16</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Orsini</surname> <given-names>N</given-names></name> <name><surname>Bellocco</surname> <given-names>R</given-names></name> <name><surname>Greenland</surname> <given-names>S</given-names></name></person-group> <article-title>Generalized least squares for trend estimation of summarized doseresponse data</article-title> <source>Stata J</source> <year>2006</year><volume>6</volume> <issue>1</issue> <fpage>40</fpage><lpage>57</lpage></element-citation></ref>
<ref id="b17-kjhp-18-127"><label>17</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chan</surname> <given-names>DS</given-names></name> <name><surname>Lau</surname> <given-names>R</given-names></name> <name><surname>Aune</surname> <given-names>D</given-names></name> <name><surname>Vieira</surname> <given-names>R</given-names></name> <name><surname>Greenwood</surname> <given-names>DC</given-names></name> <name><surname>Kampman</surname> <given-names>E</given-names></name> <etal/></person-group> <article-title>Red and processed meat and colorectal cancer incidence: metaanalysis of prospective studies</article-title> <source>PLoS One</source> <year>2011</year><volume>6</volume> <issue>6</issue> <fpage>e20456</fpage></element-citation></ref>
<ref id="b18-kjhp-18-127"><label>18</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kang</surname> <given-names>M</given-names></name> <name><surname>Park</surname> <given-names>S</given-names></name> <name><surname>Boushey</surname> <given-names>CJ</given-names></name> <name><surname>Wilkens</surname> <given-names>LR</given-names></name> <etal/></person-group> <article-title>Portion sizes from 24-hour dietary recalls differed by sex among those who selected the same portion size category on a food frequency questionnaire</article-title> <source>J Acad of Nutr Diet</source> <year>2018</year><volume>118</volume> <issue>9</issue> <fpage>1711</fpage><lpage>8</lpage></element-citation></ref>
<ref id="b19-kjhp-18-127"><label>19</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Marks</surname> <given-names>GC</given-names></name> <name><surname>Hughes</surname> <given-names>MC</given-names></name> <name><surname>van der Pols</surname> <given-names>JC</given-names></name></person-group> <article-title>The effect of personal characteristics on the validity of nutrient intake estimates using a food-frequency questionnaire</article-title> <source>Public Health Nutr</source> <year>2006</year><volume>9</volume> <issue>3</issue> <fpage>394</fpage><lpage>402</lpage></element-citation></ref>
<ref id="b20-kjhp-18-127"><label>20</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Marks</surname> <given-names>GC</given-names></name> <name><surname>Hughes</surname> <given-names>MC</given-names></name> <name><surname>van der Pols</surname> <given-names>JC</given-names></name></person-group> <article-title>Relative validity of food intake estimates using a food frequency questionnaire is associated with sex, age, and other personal characteristics</article-title> <source>J Nutr</source> <year>2006</year><volume>136</volume> <issue>2</issue> <fpage>459</fpage><lpage>65</lpage></element-citation></ref>
<ref id="b21-kjhp-18-127"><label>21</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cade</surname> <given-names>JE</given-names></name> <name><surname>Burley</surname> <given-names>VJ</given-names></name> <name><surname>Warm</surname> <given-names>DL</given-names></name> <name><surname>Thompson</surname> <given-names>RL</given-names></name> <name><surname>Margetts</surname> <given-names>BM</given-names></name></person-group> <article-title>Food-frequency questionnaires: a review of their design, validation and utilisation</article-title> <source>Nutr Res Rev</source> <year>2004</year><volume>17</volume> <issue>1</issue> <fpage>5</fpage><lpage>22</lpage></element-citation></ref>
<ref id="b22-kjhp-18-127"><label>22</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Berndt</surname> <given-names>SI</given-names></name> <name><surname>Platz</surname> <given-names>EA</given-names></name> <name><surname>Fallin</surname> <given-names>MD</given-names></name> <name><surname>Thuita</surname> <given-names>LW</given-names></name> <name><surname>Hoffman</surname> <given-names>SC</given-names></name> <name><surname>Helzlsouer</surname> <given-names>KJ</given-names></name></person-group> <article-title>Genetic variation in the nucleotide excision repair pathway and colorectal cancer risk</article-title> <source>Cancer Epidemiol Biomarkers Prev</source> <year>2006</year><volume>15</volume> <issue>11</issue> <fpage>2263</fpage><lpage>9</lpage></element-citation></ref>
<ref id="b23-kjhp-18-127"><label>23</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chao</surname> <given-names>A</given-names></name> <name><surname>Thun</surname> <given-names>MJ</given-names></name> <name><surname>Connell</surname> <given-names>CJ</given-names></name> <name><surname>McCullough</surname> <given-names>ML</given-names></name> <name><surname>Jacobs</surname> <given-names>EJ</given-names></name> <name><surname>Flanders</surname> <given-names>WD</given-names></name> <etal/></person-group> <article-title>Meat consumption and risk of colorectal cancer</article-title> <source>JAMA</source> <year>2005</year><volume>293</volume> <issue>2</issue> <fpage>172</fpage><lpage>82</lpage></element-citation></ref>
<ref id="b24-kjhp-18-127"><label>24</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Takachi</surname> <given-names>R</given-names></name> <name><surname>Tsubono</surname> <given-names>Y</given-names></name> <name><surname>Baba</surname> <given-names>K</given-names></name> <name><surname>Inoue</surname> <given-names>M</given-names></name> <name><surname>Sasazuki</surname> <given-names>S</given-names></name> <name><surname>Iwasaki</surname> <given-names>M</given-names></name> <etal/></person-group> <article-title>Red meat intake may increase the risk of colon cancer in Japanese, a population with relatively low red meat consumption</article-title> <source>Asia Pac J Clin Nutr</source> <year>2011</year><volume>20</volume> <issue>4</issue> <fpage>603</fpage><lpage>12</lpage></element-citation></ref>
<ref id="b25-kjhp-18-127"><label>25</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>English</surname> <given-names>DR</given-names></name> <name><surname>MacInnis</surname> <given-names>RJ</given-names></name> <name><surname>Hodge</surname> <given-names>AM</given-names></name> <name><surname>Hopper</surname> <given-names>JL</given-names></name> <name><surname>Haydon</surname> <given-names>AM</given-names></name> <name><surname>Giles</surname> <given-names>GG</given-names></name></person-group> <article-title>Red meat, chicken, and fish consumption and risk of colorectal cancer</article-title> <source>Cancer Epidemiol Biomarkers Prev</source> <year>2004</year><volume>13</volume> <issue>9</issue> <fpage>1509</fpage><lpage>14</lpage></element-citation></ref>
<ref id="b26-kjhp-18-127"><label>26</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cross</surname> <given-names>AJ</given-names></name> <name><surname>Leitzmann</surname> <given-names>MF</given-names></name> <name><surname>Gail</surname> <given-names>MH</given-names></name> <name><surname>Hollenbeck</surname> <given-names>AR</given-names></name> <name><surname>Schatzkin</surname> <given-names>A</given-names></name> <name><surname>Sinha</surname> <given-names>R</given-names></name></person-group> <article-title>A prospective study of red and processed meat intake in relation to cancer risk</article-title> <source>PLoS Med</source> <year>2007</year><volume>4</volume> <issue>12</issue> <fpage>e325</fpage></element-citation></ref>
<ref id="b27-kjhp-18-127"><label>27</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Singh</surname> <given-names>PN</given-names></name> <name><surname>Fraser</surname> <given-names>GE</given-names></name></person-group> <article-title>Dietary risk factors for colon cancer in a low-risk population</article-title> <source>Am J Epidemiol</source> <year>1998</year><volume>148</volume> <issue>8</issue> <fpage>761</fpage><lpage>74</lpage></element-citation></ref>
<ref id="b28-kjhp-18-127"><label>28</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Norat</surname> <given-names>T</given-names></name> <name><surname>Bingham</surname> <given-names>S</given-names></name> <name><surname>Ferrari</surname> <given-names>P</given-names></name> <name><surname>Slimani</surname> <given-names>N</given-names></name> <name><surname>Jenab</surname> <given-names>M</given-names></name> <name><surname>Mazuir</surname> <given-names>M</given-names></name> <etal/></person-group> <article-title>Meat, fish, and colorectal cancer risk: the European prospective investigation into cancer and nutrition</article-title> <source>J Natl Cancer Inst</source> <year>2005</year><volume>97</volume> <issue>12</issue> <fpage>906</fpage><lpage>16</lpage></element-citation></ref>
<ref id="b29-kjhp-18-127"><label>29</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>J&#x00E4;rvinen</surname> <given-names>R</given-names></name> <name><surname>Knekt</surname> <given-names>P</given-names></name> <name><surname>Hakulinen</surname> <given-names>T</given-names></name> <name><surname>Rissanen</surname> <given-names>H</given-names></name> <name><surname>Heli&#x00F6;vaara</surname> <given-names>M</given-names></name></person-group> <article-title>Dietary fat, cholesterol and colorectal cancer in a prospective study</article-title> <source>Br J Cancer</source> <year>2001</year><volume>85</volume> <issue>3</issue> <fpage>357</fpage><lpage>61</lpage></element-citation></ref>
<ref id="b30-kjhp-18-127"><label>30</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Knekt</surname> <given-names>P</given-names></name> <name><surname>J&#x00E4;rvinen</surname> <given-names>R</given-names></name> <name><surname>Dich</surname> <given-names>J</given-names></name> <name><surname>Hakulinen</surname> <given-names>T</given-names></name></person-group> <article-title>Risk of colorectal and other gastrointestinal cancers after exposure to nitrate, nitrite and N-nitroso compounds: a follow-up study</article-title> <source>Int J Cancer</source> <year>1999</year><volume>80</volume> <issue>6</issue> <fpage>852</fpage><lpage>6</lpage></element-citation></ref>
<ref id="b31-kjhp-18-127"><label>31</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Iso</surname> <given-names>H</given-names></name> <name><surname>Kubota</surname> <given-names>Y</given-names></name></person-group> <collab>Japan Collaborative Cohort Study for Evaluation of Cancer</collab> <article-title>Nutrition and disease in the Japan collaborative cohort study for evaluation of cancer (JACC)</article-title> <source>Asian Pac J Cancer Prev</source> <year>2007</year><volume>8</volume> <issue>Suppl</issue> <fpage>35</fpage><lpage>80</lpage></element-citation></ref>
<ref id="b32-kjhp-18-127"><label>32</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ollberding</surname> <given-names>NJ</given-names></name> <name><surname>Wilkens</surname> <given-names>LR</given-names></name> <name><surname>Henderson</surname> <given-names>BE</given-names></name> <name><surname>Kolonel</surname> <given-names>LN</given-names></name> <name><surname>Le Marchand</surname> <given-names>L</given-names></name></person-group> <article-title>Meat consumption, heterocyclic amines and colorectal cancer risk: the Multiethnic Cohort Study</article-title> <source>Int J Cancer</source> <year>2012</year><volume>131</volume> <issue>7</issue> <fpage>E1125</fpage><lpage>33</lpage></element-citation></ref>
<ref id="b33-kjhp-18-127"><label>33</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>Stampfer</surname> <given-names>MJ</given-names></name> <name><surname>Hough</surname> <given-names>HL</given-names></name> <name><surname>Garcia-Closas</surname> <given-names>M</given-names></name> <name><surname>Willett</surname> <given-names>WC</given-names></name> <name><surname>Hennekens</surname> <given-names>CH</given-names></name>, <etal/></person-group> <article-title>A prospective study of N-acetyltransferase genotype, red meat intake, and risk of colorectal cancer</article-title> <source>Cancer Res</source> <year>1998</year><volume>58</volume> <issue>15</issue> <fpage>3307</fpage><lpage>11</lpage></element-citation></ref>
<ref id="b34-kjhp-18-127"><label>34</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Balder</surname> <given-names>HF</given-names></name> <name><surname>Vogel</surname> <given-names>J</given-names></name> <name><surname>Jansen</surname> <given-names>MC</given-names></name> <name><surname>Weijenberg</surname> <given-names>MP</given-names></name> <name><surname>van den Brandt</surname> <given-names>PA</given-names></name> <name><surname>Westenbrink</surname> <given-names>S</given-names></name>, <etal/></person-group> <article-title>Heme and chlorophyll intake and risk of colorectal cancer in the Netherlands cohort study</article-title> <source>Cancer Epidemiol Biomarkers Prev</source> <year>2006</year><volume>15</volume> <issue>4</issue> <fpage>717</fpage><lpage>25</lpage></element-citation></ref>
<ref id="b35-kjhp-18-127"><label>35</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wada</surname> <given-names>K</given-names></name> <name><surname>Oba</surname> <given-names>S</given-names></name> <name><surname>Tsuji</surname> <given-names>M</given-names></name> <name><surname>Tamura</surname> <given-names>T</given-names></name> <name><surname>Konishi</surname> <given-names>K</given-names></name> <name><surname>Goto</surname> <given-names>Y</given-names></name> <etal/></person-group> <article-title>Meat consumption and colorectal cancer risk in Japan: the Takayama study</article-title> <source>Cancer Sci</source> <year>2017</year><volume>108</volume> <issue>5</issue> <fpage>1065</fpage><lpage>70</lpage></element-citation></ref>
</ref-list>
<sec sec-type="display-objects">
<title>Figures and Tables</title>
<fig id="f1-kjhp-18-127" position="anchor">
<label>Figure 1.</label>
<caption xml:lang="en"><p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart. Screening and selection of studies analysing the association between meat (red and processed/red/processed) intake and Colorectal cancer risk.</p></caption>
<graphic xlink:href="kjhp-18-127f1.tif"/>
</fig>
<fig id="f2-kjhp-18-127" position="anchor">
<label>Figure 2.</label>
<caption xml:lang="en"><p>Dose-response meta-analysis between red and processed meat and colorectal or colon cancer in male and female combined cohort studies (<italic>P</italic> for difference&#x003D;0.340).</p></caption>
<graphic xlink:href="kjhp-18-127f2.tif"/>
</fig>
<fig id="f3-kjhp-18-127" position="anchor">
<label>Figure 3.</label>
<caption xml:lang="en"><p>Highest vs. lowest meta-analysis between red and processed meat and colorectal or colon cancer in male and female combined cohort studies (<italic>P</italic> for difference&#x003D;0.022).</p></caption>
<graphic xlink:href="kjhp-18-127f3.tif"/>
</fig>
<table-wrap id="t1-kjhp-18-127" position="float">
<label>Table 1.</label>
<caption xml:lang="en"><p>Characteristics of cohort studies included in the meta-analysis</p></caption>
<table frame="hsides" rules="all">
<thead>
<tr>
<th valign="middle" align="left">Study</th>
<th valign="middle" align="center">Cohort</th>
<th valign="middle" align="center">Ethnicity (&#x0025; of subjects)</th>
<th valign="middle" align="center">Baseline population</th>
<th valign="middle" align="center">No. of cases</th>
<th valign="middle" align="center">Age at baseline</th>
<th valign="middle" align="center">Study period (follow-up years)</th>
<th valign="middle" align="center">Meat category (intake in quantiles)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">GS Group</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Berndt et al<sup>22)</sup> (2006)</td>
<td valign="middle" align="center">CLUE II</td>
<td valign="middle" align="center">Caucasian (98.3&#x0025;)</td>
<td valign="middle" align="center">Men:932 Women:1,292</td>
<td valign="middle" align="center">CRC:202</td>
<td valign="middle" align="center">&#x003E;35 (mean 48.5)</td>
<td valign="middle" align="center">1996&#x2013;2003 (mean 13.5)</td>
<td valign="middle" align="center">Red and processed meat (T1:&#x003C;44.0g, T3:&#x2265;86.3g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Chao et al <sup>23)</sup> (2005)</td>
<td valign="middle" align="center">CPS II</td>
<td valign="middle" align="center">Caucasian (98.0&#x0025;)</td>
<td valign="middle" align="center">Men:69,644 Women:78,946</td>
<td valign="middle" align="center">CC:1,197 RC:470</td>
<td valign="middle" align="center">50&#x2013;74 (median 63)</td>
<td valign="middle" align="center">1992&#x2013;2001</td>
<td valign="middle" align="center">Red and processed meat (median) (men Q1: 14.3g, Q5:142.7 g; women Q1:6.1 g, Q5: 101.7g) processed meat (median) (men Q1:1.4 g, Q5:40.4 g; women Q1:O g, Q5:20.7g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Takachi et al <sup>24)</sup> (2011)</td>
<td valign="middle" align="center">JPHC</td>
<td valign="middle" align="center">Asian</td>
<td valign="middle" align="center">Men:38,462 Women:42,196</td>
<td valign="middle" align="center">CRC:1,145 CC:788</td>
<td valign="middle" align="center">45&#x2013;74 (mean 56.6)</td>
<td valign="middle" align="center">1995,1999&#x2013;2006</td>
<td valign="middle" align="center">Red and processed meat (median) (men Q1: 20g, Q5:117 g; women Q1:18 g, Q5: 107 g) Red meat (median) (men Q1:15 g, Q5:102 g; women Q1:14 g, Q5:93 g) Processed Meat (Median) (Men Q1: 0.2g, Q5: 16 g; women Q1:0.4 g, Q5:15 g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;English et al <sup>25)</sup> (2004)</td>
<td valign="middle" align="center">MCCS</td>
<td valign="middle" align="center">Caucasian</td>
<td valign="middle" align="center">Men:14,643 Women:22,469</td>
<td valign="middle" align="center">CRC:451 CC:283 RC:169</td>
<td valign="middle" align="center">27&#x2013;75</td>
<td valign="middle" align="center">1990,1994&#x2013;2006 (average 9)</td>
<td valign="middle" align="center">Red meat (Q1: &#x003C;51.4 g, Q4:&#x2265;111.4 g) Processed meat (Q1:10.7 g, Q4: 28.6 g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Sato et al <sup>14)</sup> (2006)</td>
<td valign="middle" align="center">Miyagi cohort</td>
<td valign="middle" align="center">Asian</td>
<td valign="middle" align="center">Men:20,174 Women:21,661</td>
<td valign="middle" align="center">CRC:474 CC:280 RC:198</td>
<td valign="middle" align="center">40&#x2013;64 (mean 52)</td>
<td valign="middle" align="center">1990&#x2013;2001 (11)</td>
<td valign="middle" align="center">Processed meat (median) (Q1:0 g, Q4: 15.8 g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Cross et al <sup>26)</sup> (2007)</td>
<td valign="middle" align="center">NIH-AARP</td>
<td valign="middle" align="center">Caucasian (92.6&#x0025;)</td>
<td valign="middle" align="center">Men:294,724 Women:199,312</td>
<td valign="middle" align="center">CRC:5,107</td>
<td valign="middle" align="center">50&#x2013;71 (mean 62)</td>
<td valign="middle" align="center">1996&#x2013;2003 (mean 6.8)</td>
<td valign="middle" align="center">Red and processed meat (median) (Q1:9.8 g/1,000 kcal, Q5: 62.7 g/1000 kcal)</td>
</tr>
<tr>
<td valign="middle" align="left">NGS Group</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
<td valign="middle" align="center">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Singh and Fraser <sup>27)</sup> (1998)</td>
<td valign="middle" align="center">AHS</td>
<td valign="middle" align="center">Caucasian (100.0&#x0025;&#x0025;)</td>
<td valign="middle" align="center">Men and Women:32,051</td>
<td valign="middle" align="center">CC:135 RC:22</td>
<td valign="middle" align="center">&#x2265;25</td>
<td valign="middle" align="center">1977&#x2013;1982 (6)</td>
<td valign="middle" align="center">Red meat (T1:0 g, T3: 17.1g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Norat et al<sup>28)</sup> (2005)</td>
<td valign="middle" align="center">EPIC</td>
<td valign="middle" align="center">Caucasian (&#x003E;97.0&#x0025;)</td>
<td valign="middle" align="center">Men:141,987 Women:336,052</td>
<td valign="middle" align="center">CRC:1,329 CC:855 RC:474</td>
<td valign="middle" align="center">35&#x2013;70 (mean 51.2)</td>
<td valign="middle" align="center">1992&#x2013;1998 (mean 4.8)</td>
<td valign="middle" align="center">Red and processed meat (Q1:&#x003C;10 g, Q5&#x2265;160 g) Red meat (Q1:&#x003C;10 g, Q5&#x2265;160 g) Processed meat (Q1:&#x003C;10 g, Q5:&#x2265;80 g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;J&#x00E4;rvinen et al <sup>29)</sup> (2001)</td>
<td valign="middle" align="center">FMCHES</td>
<td valign="middle" align="center">Caucasian (100.0&#x0025;)</td>
<td valign="middle" align="center">Men and Women:9,959</td>
<td valign="middle" align="center">CRC:109 CC:63 RC:46</td>
<td valign="middle" align="center">&#x2265;15 (mean 39.1)</td>
<td valign="middle" align="center">1967&#x2013;1999 (max 32)</td>
<td valign="middle" align="center">Red meat (Men Q1:&#x003C;94 g, Q4&#x003E;206 g;women Q1: &#x003C;61 g, Q4:&#x003E;134g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Knekt et al <sup>30)</sup> (1999)</td>
<td valign="middle" align="center">FMCHES</td>
<td valign="middle" align="center">Caucasian (100.0&#x0025;)</td>
<td valign="middle" align="center">Men:5,274 Women:4,711</td>
<td valign="middle" align="center">CRC:73</td>
<td valign="middle" align="center">&#x2265;15</td>
<td valign="middle" align="center">1967&#x2013;1990 (max 24)</td>
<td valign="middle" align="center">Meat and meat products</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Iso et al <sup>31)</sup> (2007)</td>
<td valign="middle" align="center">JACC</td>
<td valign="middle" align="center">Asian</td>
<td valign="middle" align="center">Men:44,647 Women:60,992</td>
<td valign="middle" align="center">CC:354 RC:211</td>
<td valign="middle" align="center">40&#x2013;79</td>
<td valign="middle" align="center">1988&#x2013;2003</td>
<td valign="middle" align="center">Processed Meat (men T1:&#x003C;7.1 g, T3:&#x2265;21.4 g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Ollberding et al <sup>32)</sup> (2012)</td>
<td valign="middle" align="center">MEC</td>
<td valign="middle" align="center">Mixed</td>
<td valign="middle" align="center">Men:76,893 Women:88,824</td>
<td valign="middle" align="center">CRC:3,404</td>
<td valign="middle" align="center">45&#x2013;75 (mean 59.9)</td>
<td valign="middle" align="center">1993&#x2013;2007 (median 13.6)</td>
<td valign="middle" align="center">Red and processed meat (g/1,000 kcal) (Q1: median 7.4g, Q5: median 48.0 g) Red meat (g/1,000 kcal) (Q1: Median 4.6 g, Q5:median 34.9 g) Processed meat (g/1,000 kcal) (Q1:median 1.7 g, Q5: median 18.0 g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Chen et al <sup>33)</sup> (1998)</td>
<td valign="middle" align="center">SCHS</td>
<td valign="middle" align="center">Asian</td>
<td valign="middle" align="center">Men and Women:61,321</td>
<td valign="middle" align="center">CRC:961 CC:591 RC:370</td>
<td valign="middle" align="center">45&#x2013;74</td>
<td valign="middle" align="center">1993&#x2013;2005 (average 9.8)</td>
<td valign="middle" align="center">Red Meat (median intake) (case:24 g, noncase:25 g) Processed meat (median intake) (case:1.2 g, noncase:1.3g)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Balder et al <sup>34)</sup> (2006)</td>
<td valign="middle" align="center">NLCS</td>
<td valign="middle" align="center">Caucasian</td>
<td valign="middle" align="center">Men:58,279 Women:62,573</td>
<td valign="middle" align="center">CRC:1,535</td>
<td valign="middle" align="center">55&#x2013;69</td>
<td valign="middle" align="center">1986-(9.3)</td>
<td valign="middle" align="center">Processed Meat (Q1: 0 g, Q5&#x2265;20 g [median 32 g])</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;Wada et al <sup>35)</sup> (2017)</td>
<td valign="middle" align="center">Takayama cohort</td>
<td valign="middle" align="center">Asian</td>
<td valign="middle" align="center">Men:13,957 Women:16,374</td>
<td valign="middle" align="center">CRC:709 CC:222 RC:236</td>
<td valign="middle" align="center">&#x2265;35 (mean 55.7)</td>
<td valign="middle" align="center">1992&#x2013;2008</td>
<td valign="middle" align="center">Red Meat (median intake) (men Q1:19 g, Q4:64 g; women Q1: 12g, Q4: 49g) Processed meat (median intake) (men Q1:4 g, Q4:23 g; women Q1: 3 g, Q4: 19 g)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Abbreviations: GS, gender-specific; CLUE II, &#x2018;give us a clue to cancer&#x2019; study; CRC, colorectal cancer; CC, colon cancer; RC, rectal cancer; JPHC, Japan Public Health Center-based Prospective Study; MCCS, Melbourne Collaborative Cohort Study; NIH-AARP, American Association of Retired Persons&#x0027; Diet and Health Study; NGS, not gender-specific; AHS, Adventist Health Study; EPIC, European Prospective Investigation into Cancer and Nutrition; FMCHES, Finnish Mobile Clinic Health Examination Survey; JACC, Japan Collaborative Cohort Study; MEC, multiethnic cohort study; SCHS, Singapore Chinese Health Study; NLCS, Netherlands Cohort Study.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t2-kjhp-18-127" position="float">
<label>Table 2.</label>
<caption xml:lang="en"><p>Summary of the estimated RRs and 95&#x0025; CIs for colorectal or colon cancer risk</p></caption>
<table frame="hsides" rules="all">
<thead>
<tr>
<th valign="middle" align="center" rowspan="2">&#x00A0;</th>
<th colspan="5" valign="middle" align="center">Dose-response<sup><xref ref-type="table-fn" rid="table2-fn1-kjhp-18-127">a</xref></sup></th>
<th colspan="5" valign="middle" align="center">Highest vs. lowest</th>
</tr>
<tr>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">RR</th>
<th valign="middle" align="center">95&#x0025; CI</th>
<th valign="middle" align="center"><italic>P</italic> for differences</th>
<th valign="middle" align="center">Ref.<sup><xref ref-type="table-fn" rid="table2-fn2-kjhp-18-127">b</xref></sup></th>
<th valign="middle" align="center">N</th>
<th valign="middle" align="center">RR</th>
<th valign="middle" align="center">95&#x0025; CI</th>
<th valign="middle" align="center"><italic>P</italic> for differences</th>
<th valign="middle" align="center">Ref. <sup><xref ref-type="table-fn" rid="table2-fn2-kjhp-18-127">b</xref></sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Red and processed meat</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">0.340</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">0.022</td>
<td valign="middle" align="left">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;GS</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1.23</td>
<td valign="middle" align="center">1.14, 1.32</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">22,23,24,26)</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">1.24</td>
<td valign="middle" align="center">1.14, 1.34</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">22,23,24,26)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;NGS</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1.13</td>
<td valign="middle" align="center">0.90, 1.35</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">28,35)</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">1.11</td>
<td valign="middle" align="center">0.82, 1.39</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">28,35)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;Total</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">1.17</td>
<td valign="middle" align="center">1.06, 1.29</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">1.18</td>
<td valign="middle" align="center">1.05, 1.30</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">Red meat</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">NA<sup><xref ref-type="table-fn" rid="table2-fn3-kjhp-18-127">c</xref></sup></td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">NA<sup><xref ref-type="table-fn" rid="table2-fn3-kjhp-18-127">c</xref></sup></td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;GS</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">25)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">25)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;NGS</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">27,28,29,32,35)</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">28,29,32,33,35)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;Total</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">Processed meat</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">0.168</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">0.409</td>
<td valign="middle" align="left">&#x00A0;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;GS</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">1.28</td>
<td valign="middle" align="center">1.15, 1.40</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">14,23,24,25,26)</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">1.18</td>
<td valign="middle" align="center">1.07, 1.28</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">14,23,24,25,26)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;NGS</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">1.16</td>
<td valign="middle" align="center">1.04, 1.28</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">28,34,35)</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">1.12</td>
<td valign="middle" align="center">1.03, 1.21</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">28,30,31,32, 33,34,35)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x00A0;&#x00A0;&#x00A0;Total</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">1.21</td>
<td valign="middle" align="center">1.13, 1.30</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="center">&#x3000;</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">1.15</td>
<td valign="middle" align="center">1.08, 1.21</td>
<td valign="middle" align="left">&#x00A0;</td>
<td valign="middle" align="left">&#x00A0;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Abbreviations: RR, relative risk; CI, confidence intervals; Ref., reference; GS, gender-specific; NGS, not gender-specific; NA, not available.</p></fn>
<fn id="table2-fn1-kjhp-18-127"><label>a</label><p>Dose-response analysis: RR of 100 g/day increase in red and processed meat or red meat and RR of 50 g/day increase in processed meat.</p></fn>
<fn id="table2-fn2-kjhp-18-127"><label>b</label><p>List of reference number included in summary of RR.</p></fn>
<fn id="table2-fn3-kjhp-18-127"><label>c</label><p>Summary estimates were not calculated if number of studies was 1 or less in either GS or NGS group.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
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</article>
