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Mild obesity, physical activity, calorie intake, and the risks of cervical intraepithelial neoplasia and cervical cancer
We investigated whether obesity, physical activity, and calorie intake are associated with the risks of cervical intraepithelial neoplasia (CIN) and cervical cancer. We enrolled 1125 women (age, 18-65 years) into a human papillomavirus cohort study established from 2006 to 2012. Multinomial logistic...
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Published in: | PloS one 2013-06, Vol.8 (6), p.e66555-e66555 |
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description | We investigated whether obesity, physical activity, and calorie intake are associated with the risks of cervical intraepithelial neoplasia (CIN) and cervical cancer.
We enrolled 1125 women (age, 18-65 years) into a human papillomavirus cohort study established from 2006 to 2012. Multinomial logistic regression models were used to estimate crude and multivariate odds ratios (ORs) and the corresponding 95% confidence intervals (95% CIs), and to assess whether body mass index (BMI), height, weight, total calorie intake, and physical activity were associated with the risks of CIN and cervical cancer.
Cervical cancer risk was positively associated with BMI and inversely associated with physical activity. When compared with women with a normal BMI (18.5-23 kg/m(2)), the multivariate ORs (95% CIs) for those overweight (23-25 kg/m(2)) and mild obesity (≥25 kg/m(2)) were 1.25 (0.79-2.00) and 1.70 (1.10-2.63), respectively. When compared with women with the lowest tertile of physical activity ( |
doi_str_mv | 10.1371/journal.pone.0066555 |
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We enrolled 1125 women (age, 18-65 years) into a human papillomavirus cohort study established from 2006 to 2012. Multinomial logistic regression models were used to estimate crude and multivariate odds ratios (ORs) and the corresponding 95% confidence intervals (95% CIs), and to assess whether body mass index (BMI), height, weight, total calorie intake, and physical activity were associated with the risks of CIN and cervical cancer.
Cervical cancer risk was positively associated with BMI and inversely associated with physical activity. When compared with women with a normal BMI (18.5-23 kg/m(2)), the multivariate ORs (95% CIs) for those overweight (23-25 kg/m(2)) and mild obesity (≥25 kg/m(2)) were 1.25 (0.79-2.00) and 1.70 (1.10-2.63), respectively. When compared with women with the lowest tertile of physical activity (<38.5 MET-hours/week), the ORs (95% CIs) for cervical cancer were 0.95 (0.61-1.48) and 0.61 (0.38-0.98) for women with medium physical activity (38.5-71.9 MET-hours/week) and those with high physical activity (72 MET-hours/week), respectively (p for linear trend = 0.03). The CIN2/3 risk was inversely associated with physical activity after adjustment for confounders. Compared with women with low physical activity (< 38.5 MET-hours/week), the ORs (95% CIs) for CIN2/3 were 0.64 (0.40-1.01) and 0.58 (0.36-0.93) for the medium and high physical activity groups, respectively (p for linear trend = 0.02). Total calorie intake was not statistically associated with the risks of CIN and cervical cancer after adjustment for confounders.
Our results indicate that in addition to screening for and treatment of CIN, recommendations on the maintenance of an appropriate BMI with an emphasis on physical activity could be an important preventive strategy against the development of cervical cancer.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0066555</identifier><identifier>PMID: 23776686</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Alcohol use ; Body mass ; Body Mass Index ; Body size ; Body weight ; Cancer ; Cervical cancer ; Cervical Intraepithelial Neoplasia - epidemiology ; Cervical Intraepithelial Neoplasia - etiology ; Cervical Intraepithelial Neoplasia - prevention & control ; Cervix ; Cervix dysplasia ; Confidence intervals ; Development and progression ; Endometrial cancer ; Energy Intake - physiology ; Exercise ; Female ; Health aspects ; Health risk assessment ; Health risks ; Human papillomavirus ; Humans ; Logistic Models ; Medicine ; Middle Aged ; Motor Activity - physiology ; Obesity ; Obesity - complications ; Odds Ratio ; Overweight ; Papillomavirus infections ; Physical activity ; Regression analysis ; Regression models ; Risk Factors ; Statistical analysis ; Uterine Cervical Neoplasms - epidemiology ; Uterine Cervical Neoplasms - etiology ; Uterine Cervical Neoplasms - prevention & control</subject><ispartof>PloS one, 2013-06, Vol.8 (6), p.e66555-e66555</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Lee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Lee et al 2013 Lee et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6735-7653dbd95d6d87e77a7b46f85cd126ed4e75c86e900e6a090370c6a282c0251c3</citedby><cites>FETCH-LOGICAL-c6735-7653dbd95d6d87e77a7b46f85cd126ed4e75c86e900e6a090370c6a282c0251c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1367061406/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1367061406?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791,74896</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23776686$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Anderson, Matthew L.</contributor><creatorcontrib>Lee, Jae Kwan</creatorcontrib><creatorcontrib>So, Kyeong A</creatorcontrib><creatorcontrib>Piyathilake, Chandrika J</creatorcontrib><creatorcontrib>Kim, Mi Kyung</creatorcontrib><title>Mild obesity, physical activity, calorie intake, and the risks of cervical intraepithelial neoplasia and cervical cancer</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>We investigated whether obesity, physical activity, and calorie intake are associated with the risks of cervical intraepithelial neoplasia (CIN) and cervical cancer.
We enrolled 1125 women (age, 18-65 years) into a human papillomavirus cohort study established from 2006 to 2012. Multinomial logistic regression models were used to estimate crude and multivariate odds ratios (ORs) and the corresponding 95% confidence intervals (95% CIs), and to assess whether body mass index (BMI), height, weight, total calorie intake, and physical activity were associated with the risks of CIN and cervical cancer.
Cervical cancer risk was positively associated with BMI and inversely associated with physical activity. When compared with women with a normal BMI (18.5-23 kg/m(2)), the multivariate ORs (95% CIs) for those overweight (23-25 kg/m(2)) and mild obesity (≥25 kg/m(2)) were 1.25 (0.79-2.00) and 1.70 (1.10-2.63), respectively. When compared with women with the lowest tertile of physical activity (<38.5 MET-hours/week), the ORs (95% CIs) for cervical cancer were 0.95 (0.61-1.48) and 0.61 (0.38-0.98) for women with medium physical activity (38.5-71.9 MET-hours/week) and those with high physical activity (72 MET-hours/week), respectively (p for linear trend = 0.03). The CIN2/3 risk was inversely associated with physical activity after adjustment for confounders. Compared with women with low physical activity (< 38.5 MET-hours/week), the ORs (95% CIs) for CIN2/3 were 0.64 (0.40-1.01) and 0.58 (0.36-0.93) for the medium and high physical activity groups, respectively (p for linear trend = 0.02). Total calorie intake was not statistically associated with the risks of CIN and cervical cancer after adjustment for confounders.
Our results indicate that in addition to screening for and treatment of CIN, recommendations on the maintenance of an appropriate BMI with an emphasis on physical activity could be an important preventive strategy against the development of cervical cancer.</description><subject>Adult</subject><subject>Alcohol use</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Cancer</subject><subject>Cervical cancer</subject><subject>Cervical Intraepithelial Neoplasia - epidemiology</subject><subject>Cervical Intraepithelial Neoplasia - etiology</subject><subject>Cervical Intraepithelial Neoplasia - prevention & control</subject><subject>Cervix</subject><subject>Cervix dysplasia</subject><subject>Confidence intervals</subject><subject>Development and progression</subject><subject>Endometrial cancer</subject><subject>Energy Intake - physiology</subject><subject>Exercise</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Human papillomavirus</subject><subject>Humans</subject><subject>Logistic Models</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Motor Activity - physiology</subject><subject>Obesity</subject><subject>Obesity - complications</subject><subject>Odds Ratio</subject><subject>Overweight</subject><subject>Papillomavirus infections</subject><subject>Physical activity</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk Factors</subject><subject>Statistical analysis</subject><subject>Uterine Cervical Neoplasms - epidemiology</subject><subject>Uterine Cervical Neoplasms - etiology</subject><subject>Uterine Cervical Neoplasms - prevention & control</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11r2zAUhs3YWLts_2BshsHYoMlky_rwzaCUfQQ6Cvu6FbJ0nChVLE-yQ_PvpyRuiEcvhi8sHT3vK-uVT5K8zNAswyz7sHK9b6Sdta6BGUKUEkIeJedZifMpzRF-fDI-S56FsEKIYE7p0-Qsx4xRyul5cvfNWJ26CoLpthdpu9wGo6RNperMZl-KM-cNpKbp5C1cpLLRabeE1JtwG1JXpwr8Zq-JhJfQmrhqTZw34Forg5F7zRFTsonj58mTWtoAL4b3JPn1-dPPq6_T65sv86vL66miDJMpowTrSpdEU80ZMCZZVdCaE6WznIIugBHFKZQIAZWoRJghRWXOc4Vykik8SV4ffFvrghhCCyLDlCGaFYhGYn4gtJMr0Xqzln4rnDRiX3B-IaTvjLIgFEFVhTFgTKJU51VVsxIUUpJxpmUVvT4Ou_XVGrSCXSR2ZDpeacxSLNxGYMpREe9rkrwbDLz700PoxNoEBdbKmGa__-6SZYwUJKJv_kEfPt1ALWQ8gGlqF_dVO1NxWTCOEecZi9TsASo-GtZGxT-sNrE-ErwfCSLTwV23kH0IYv7j-_-zN7_H7NsTdgnSdsvgbN8Z14QxWBxA5V0IHupjyBkSuwa5T0PsGkQMDRJlr04v6Ci67wj8FxvKC_c</recordid><startdate>20130612</startdate><enddate>20130612</enddate><creator>Lee, Jae Kwan</creator><creator>So, Kyeong A</creator><creator>Piyathilake, Chandrika J</creator><creator>Kim, Mi Kyung</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20130612</creationdate><title>Mild obesity, physical activity, calorie intake, and the risks of cervical intraepithelial neoplasia and cervical cancer</title><author>Lee, Jae Kwan ; So, Kyeong A ; Piyathilake, Chandrika J ; Kim, Mi Kyung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6735-7653dbd95d6d87e77a7b46f85cd126ed4e75c86e900e6a090370c6a282c0251c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Alcohol use</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Cancer</topic><topic>Cervical cancer</topic><topic>Cervical Intraepithelial Neoplasia - epidemiology</topic><topic>Cervical Intraepithelial Neoplasia - etiology</topic><topic>Cervical Intraepithelial Neoplasia - prevention & control</topic><topic>Cervix</topic><topic>Cervix dysplasia</topic><topic>Confidence intervals</topic><topic>Development and progression</topic><topic>Endometrial cancer</topic><topic>Energy Intake - physiology</topic><topic>Exercise</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Human papillomavirus</topic><topic>Humans</topic><topic>Logistic Models</topic><topic>Medicine</topic><topic>Middle Aged</topic><topic>Motor Activity - physiology</topic><topic>Obesity</topic><topic>Obesity - complications</topic><topic>Odds Ratio</topic><topic>Overweight</topic><topic>Papillomavirus infections</topic><topic>Physical activity</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk Factors</topic><topic>Statistical analysis</topic><topic>Uterine Cervical Neoplasms - epidemiology</topic><topic>Uterine Cervical Neoplasms - etiology</topic><topic>Uterine Cervical Neoplasms - prevention & control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Jae Kwan</creatorcontrib><creatorcontrib>So, Kyeong A</creatorcontrib><creatorcontrib>Piyathilake, Chandrika J</creatorcontrib><creatorcontrib>Kim, Mi Kyung</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Science In Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Jae Kwan</au><au>So, Kyeong A</au><au>Piyathilake, Chandrika J</au><au>Kim, Mi Kyung</au><au>Anderson, Matthew L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mild obesity, physical activity, calorie intake, and the risks of cervical intraepithelial neoplasia and cervical cancer</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-06-12</date><risdate>2013</risdate><volume>8</volume><issue>6</issue><spage>e66555</spage><epage>e66555</epage><pages>e66555-e66555</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>We investigated whether obesity, physical activity, and calorie intake are associated with the risks of cervical intraepithelial neoplasia (CIN) and cervical cancer.
We enrolled 1125 women (age, 18-65 years) into a human papillomavirus cohort study established from 2006 to 2012. Multinomial logistic regression models were used to estimate crude and multivariate odds ratios (ORs) and the corresponding 95% confidence intervals (95% CIs), and to assess whether body mass index (BMI), height, weight, total calorie intake, and physical activity were associated with the risks of CIN and cervical cancer.
Cervical cancer risk was positively associated with BMI and inversely associated with physical activity. When compared with women with a normal BMI (18.5-23 kg/m(2)), the multivariate ORs (95% CIs) for those overweight (23-25 kg/m(2)) and mild obesity (≥25 kg/m(2)) were 1.25 (0.79-2.00) and 1.70 (1.10-2.63), respectively. When compared with women with the lowest tertile of physical activity (<38.5 MET-hours/week), the ORs (95% CIs) for cervical cancer were 0.95 (0.61-1.48) and 0.61 (0.38-0.98) for women with medium physical activity (38.5-71.9 MET-hours/week) and those with high physical activity (72 MET-hours/week), respectively (p for linear trend = 0.03). The CIN2/3 risk was inversely associated with physical activity after adjustment for confounders. Compared with women with low physical activity (< 38.5 MET-hours/week), the ORs (95% CIs) for CIN2/3 were 0.64 (0.40-1.01) and 0.58 (0.36-0.93) for the medium and high physical activity groups, respectively (p for linear trend = 0.02). Total calorie intake was not statistically associated with the risks of CIN and cervical cancer after adjustment for confounders.
Our results indicate that in addition to screening for and treatment of CIN, recommendations on the maintenance of an appropriate BMI with an emphasis on physical activity could be an important preventive strategy against the development of cervical cancer.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23776686</pmid><doi>10.1371/journal.pone.0066555</doi><tpages>e66555</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Alcohol use Body mass Body Mass Index Body size Body weight Cancer Cervical cancer Cervical Intraepithelial Neoplasia - epidemiology Cervical Intraepithelial Neoplasia - etiology Cervical Intraepithelial Neoplasia - prevention & control Cervix Cervix dysplasia Confidence intervals Development and progression Endometrial cancer Energy Intake - physiology Exercise Female Health aspects Health risk assessment Health risks Human papillomavirus Humans Logistic Models Medicine Middle Aged Motor Activity - physiology Obesity Obesity - complications Odds Ratio Overweight Papillomavirus infections Physical activity Regression analysis Regression models Risk Factors Statistical analysis Uterine Cervical Neoplasms - epidemiology Uterine Cervical Neoplasms - etiology Uterine Cervical Neoplasms - prevention & control |
title | Mild obesity, physical activity, calorie intake, and the risks of cervical intraepithelial neoplasia and cervical cancer |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T14%3A49%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Mild%20obesity,%20physical%20activity,%20calorie%20intake,%20and%20the%20risks%20of%20cervical%20intraepithelial%20neoplasia%20and%20cervical%20cancer&rft.jtitle=PloS%20one&rft.au=Lee,%20Jae%20Kwan&rft.date=2013-06-12&rft.volume=8&rft.issue=6&rft.spage=e66555&rft.epage=e66555&rft.pages=e66555-e66555&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0066555&rft_dat=%3Cgale_plos_%3EA478308817%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c6735-7653dbd95d6d87e77a7b46f85cd126ed4e75c86e900e6a090370c6a282c0251c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1367061406&rft_id=info:pmid/23776686&rft_galeid=A478308817&rfr_iscdi=true |