Return to work after cancer treatment of gynecologic cancer in Japan
Gynecologic cancer is one of the most common malignant diseases in working-age women. This study investigated whether several characteristics influence return to work after treatment of gynecologic cancer. We investigated the correlations between return to work and several other characteristics in 1...
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| Veröffentlicht in: | BMC cancer 2016-07, Vol.16 (1), p.558-558, Article 558 |
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| creator | Nakamura, Keiichiro Masuyama, Hisashi Nishida, Takeshi Haraga, Junko Ida, Naoyuki Saijo, Masayuki Haruma, Tomoko Kusumoto, Tomoyuki Seki, Noriko Hiramatsu, Yuji |
| description | Gynecologic cancer is one of the most common malignant diseases in working-age women. This study investigated whether several characteristics influence return to work after treatment of gynecologic cancer.
We investigated the correlations between return to work and several other characteristics in 199 gynecologic cancer survivors. Questionnaires were distributed to patients with cancer (≥1 year after treatment and age of |
| doi_str_mv | 10.1186/s12885-016-2627-0 |
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We investigated the correlations between return to work and several other characteristics in 199 gynecologic cancer survivors. Questionnaires were distributed to patients with cancer (≥1 year after treatment and age of <65 years) who visited Okayama University. Logistic regression analysis and receiver operating characteristic curves were used to determine whether each characteristic influenced return to work (no return to work or job change) in these gynecologic cancer survivors.
For all patients, the mean age at the time of diagnosis was 47.0 years, and the average number of years after treatment was 4.5. Forty-four patients (53.7 %) who were non-regular employees continued to be employed at the same workplace. Non-regular employment had a significantly higher area under the curve (AUC) (0.726) than other characteristics in terms of negatively affecting return to work. Additionally, non-regular employment tended to have a higher AUC (0.618) than other characteristics in terms of job changes.
Non-regular employment was the variable most likely to negatively affect return to work and job changes in employed patients who underwent treatment for gynecologic cancer.</description><identifier>ISSN: 1471-2407</identifier><identifier>EISSN: 1471-2407</identifier><identifier>DOI: 10.1186/s12885-016-2627-0</identifier><identifier>PMID: 27473230</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject><![CDATA[Adult ; Age ; Cancer ; Cancer survivors ; Cancer therapies ; Care and treatment ; Chemotherapy ; Combined Modality Therapy ; Diagnosis ; Drug Therapy - methods ; Drug Therapy - statistics & numerical data ; Employment ; Employment - statistics & numerical data ; Family income ; Female ; Genital Neoplasms, Female - pathology ; Genital Neoplasms, Female - therapy ; Gynecologic Surgical Procedures - methods ; Gynecologic Surgical Procedures - statistics & numerical data ; Health aspects ; Humans ; Investigations ; Japan ; Logistic Models ; Marital status ; Medical diagnosis ; Middle Aged ; Neoplasm Staging ; Patient outcomes ; Pelvic cancer ; Personal income ; Quality of life ; Questionnaires ; Radiation ; Radiotherapy - methods ; Radiotherapy - statistics & numerical data ; Return to Work - statistics & numerical data ; Self employment ; Surgery ; Surveys and Questionnaires ; Survivors - statistics & numerical data ; Time Factors ; Workplace - statistics & numerical data]]></subject><ispartof>BMC cancer, 2016-07, Vol.16 (1), p.558-558, Article 558</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2016</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c625t-5fb9a7566b9b704743728b82ad156b45adab24e518c14e69f39ea36831e968913</citedby><cites>FETCH-LOGICAL-c625t-5fb9a7566b9b704743728b82ad156b45adab24e518c14e69f39ea36831e968913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966766/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966766/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27473230$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nakamura, Keiichiro</creatorcontrib><creatorcontrib>Masuyama, Hisashi</creatorcontrib><creatorcontrib>Nishida, Takeshi</creatorcontrib><creatorcontrib>Haraga, Junko</creatorcontrib><creatorcontrib>Ida, Naoyuki</creatorcontrib><creatorcontrib>Saijo, Masayuki</creatorcontrib><creatorcontrib>Haruma, Tomoko</creatorcontrib><creatorcontrib>Kusumoto, Tomoyuki</creatorcontrib><creatorcontrib>Seki, Noriko</creatorcontrib><creatorcontrib>Hiramatsu, Yuji</creatorcontrib><title>Return to work after cancer treatment of gynecologic cancer in Japan</title><title>BMC cancer</title><addtitle>BMC Cancer</addtitle><description>Gynecologic cancer is one of the most common malignant diseases in working-age women. This study investigated whether several characteristics influence return to work after treatment of gynecologic cancer.
We investigated the correlations between return to work and several other characteristics in 199 gynecologic cancer survivors. Questionnaires were distributed to patients with cancer (≥1 year after treatment and age of <65 years) who visited Okayama University. Logistic regression analysis and receiver operating characteristic curves were used to determine whether each characteristic influenced return to work (no return to work or job change) in these gynecologic cancer survivors.
For all patients, the mean age at the time of diagnosis was 47.0 years, and the average number of years after treatment was 4.5. Forty-four patients (53.7 %) who were non-regular employees continued to be employed at the same workplace. Non-regular employment had a significantly higher area under the curve (AUC) (0.726) than other characteristics in terms of negatively affecting return to work. Additionally, non-regular employment tended to have a higher AUC (0.618) than other characteristics in terms of job changes.
Non-regular employment was the variable most likely to negatively affect return to work and job changes in employed patients who underwent treatment for gynecologic cancer.</description><subject>Adult</subject><subject>Age</subject><subject>Cancer</subject><subject>Cancer survivors</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Combined Modality Therapy</subject><subject>Diagnosis</subject><subject>Drug Therapy - methods</subject><subject>Drug Therapy - statistics & numerical data</subject><subject>Employment</subject><subject>Employment - statistics & numerical data</subject><subject>Family income</subject><subject>Female</subject><subject>Genital Neoplasms, Female - pathology</subject><subject>Genital Neoplasms, Female - therapy</subject><subject>Gynecologic Surgical Procedures - methods</subject><subject>Gynecologic Surgical Procedures - statistics & numerical data</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Investigations</subject><subject>Japan</subject><subject>Logistic Models</subject><subject>Marital status</subject><subject>Medical diagnosis</subject><subject>Middle Aged</subject><subject>Neoplasm Staging</subject><subject>Patient outcomes</subject><subject>Pelvic cancer</subject><subject>Personal income</subject><subject>Quality of life</subject><subject>Questionnaires</subject><subject>Radiation</subject><subject>Radiotherapy - methods</subject><subject>Radiotherapy - statistics & numerical data</subject><subject>Return to Work - statistics & numerical data</subject><subject>Self employment</subject><subject>Surgery</subject><subject>Surveys and Questionnaires</subject><subject>Survivors - statistics & numerical data</subject><subject>Time Factors</subject><subject>Workplace - statistics & numerical data</subject><issn>1471-2407</issn><issn>1471-2407</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkl1rFDEUhgdRbK3-AG9kQBC9mJqvyceNUKrVSkGoeh0y2TOzqTPJmmTU_vtm2LbuiuQiIec5b05e3qp6jtExxpK_TZhI2TYI84ZwIhr0oDrETOCGMCQe7pwPqicpXSGEhUTycXVABBOUUHRYvb-EPEdf51D_DvFHbfoMsbbG27LlCCZP4HMd-nq49mDDGAZn7-rO15_Nxvin1aPejAme3e5H1fezD99OPzUXXz6en55cNJaTNjdt3ykjWs471QnEBKOCyE4Ss8It71hrVqYjDFosLWbAVU8VGMolxaC4VJgeVe-2upu5m2Bly2TRjHoT3WTitQ7G6f2Kd2s9hF-aKc4F50Xg9a1ADD9nSFlPLlkYR-MhzEnjYg8VUvG2oC__Qa9CMap8b6GEIhxT9ZcazAja-T6Ud-0iqk8Yl1JRiZa5j_9DlbWCydngoXflfq_hzV5DYTL8yYOZU9LnXy_32Vc77BrMmNcpjHN2wad9EG9BG0NKEfp74zDSS570Nk-65EkvedKo9LzYdfy-4y5A9AZmjsHb</recordid><startdate>20160729</startdate><enddate>20160729</enddate><creator>Nakamura, Keiichiro</creator><creator>Masuyama, Hisashi</creator><creator>Nishida, Takeshi</creator><creator>Haraga, Junko</creator><creator>Ida, Naoyuki</creator><creator>Saijo, Masayuki</creator><creator>Haruma, Tomoko</creator><creator>Kusumoto, Tomoyuki</creator><creator>Seki, Noriko</creator><creator>Hiramatsu, Yuji</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>ISR</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160729</creationdate><title>Return to work after cancer treatment of gynecologic cancer in Japan</title><author>Nakamura, Keiichiro ; Masuyama, Hisashi ; Nishida, Takeshi ; Haraga, Junko ; Ida, Naoyuki ; Saijo, Masayuki ; Haruma, Tomoko ; Kusumoto, Tomoyuki ; Seki, Noriko ; Hiramatsu, Yuji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c625t-5fb9a7566b9b704743728b82ad156b45adab24e518c14e69f39ea36831e968913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Age</topic><topic>Cancer</topic><topic>Cancer survivors</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Chemotherapy</topic><topic>Combined Modality Therapy</topic><topic>Diagnosis</topic><topic>Drug Therapy - methods</topic><topic>Drug Therapy - statistics & numerical data</topic><topic>Employment</topic><topic>Employment - statistics & numerical data</topic><topic>Family income</topic><topic>Female</topic><topic>Genital Neoplasms, Female - pathology</topic><topic>Genital Neoplasms, Female - therapy</topic><topic>Gynecologic Surgical Procedures - methods</topic><topic>Gynecologic Surgical Procedures - statistics & numerical data</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Investigations</topic><topic>Japan</topic><topic>Logistic Models</topic><topic>Marital status</topic><topic>Medical diagnosis</topic><topic>Middle Aged</topic><topic>Neoplasm Staging</topic><topic>Patient outcomes</topic><topic>Pelvic cancer</topic><topic>Personal income</topic><topic>Quality of life</topic><topic>Questionnaires</topic><topic>Radiation</topic><topic>Radiotherapy - methods</topic><topic>Radiotherapy - statistics & numerical data</topic><topic>Return to Work - statistics & numerical data</topic><topic>Self employment</topic><topic>Surgery</topic><topic>Surveys and Questionnaires</topic><topic>Survivors - statistics & numerical data</topic><topic>Time Factors</topic><topic>Workplace - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nakamura, Keiichiro</creatorcontrib><creatorcontrib>Masuyama, Hisashi</creatorcontrib><creatorcontrib>Nishida, Takeshi</creatorcontrib><creatorcontrib>Haraga, Junko</creatorcontrib><creatorcontrib>Ida, Naoyuki</creatorcontrib><creatorcontrib>Saijo, Masayuki</creatorcontrib><creatorcontrib>Haruma, Tomoko</creatorcontrib><creatorcontrib>Kusumoto, Tomoyuki</creatorcontrib><creatorcontrib>Seki, Noriko</creatorcontrib><creatorcontrib>Hiramatsu, Yuji</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nakamura, Keiichiro</au><au>Masuyama, Hisashi</au><au>Nishida, Takeshi</au><au>Haraga, Junko</au><au>Ida, Naoyuki</au><au>Saijo, Masayuki</au><au>Haruma, Tomoko</au><au>Kusumoto, Tomoyuki</au><au>Seki, Noriko</au><au>Hiramatsu, Yuji</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Return to work after cancer treatment of gynecologic cancer in Japan</atitle><jtitle>BMC cancer</jtitle><addtitle>BMC Cancer</addtitle><date>2016-07-29</date><risdate>2016</risdate><volume>16</volume><issue>1</issue><spage>558</spage><epage>558</epage><pages>558-558</pages><artnum>558</artnum><issn>1471-2407</issn><eissn>1471-2407</eissn><abstract>Gynecologic cancer is one of the most common malignant diseases in working-age women. This study investigated whether several characteristics influence return to work after treatment of gynecologic cancer.
We investigated the correlations between return to work and several other characteristics in 199 gynecologic cancer survivors. Questionnaires were distributed to patients with cancer (≥1 year after treatment and age of <65 years) who visited Okayama University. Logistic regression analysis and receiver operating characteristic curves were used to determine whether each characteristic influenced return to work (no return to work or job change) in these gynecologic cancer survivors.
For all patients, the mean age at the time of diagnosis was 47.0 years, and the average number of years after treatment was 4.5. Forty-four patients (53.7 %) who were non-regular employees continued to be employed at the same workplace. Non-regular employment had a significantly higher area under the curve (AUC) (0.726) than other characteristics in terms of negatively affecting return to work. Additionally, non-regular employment tended to have a higher AUC (0.618) than other characteristics in terms of job changes.
Non-regular employment was the variable most likely to negatively affect return to work and job changes in employed patients who underwent treatment for gynecologic cancer.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>27473230</pmid><doi>10.1186/s12885-016-2627-0</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Age Cancer Cancer survivors Cancer therapies Care and treatment Chemotherapy Combined Modality Therapy Diagnosis Drug Therapy - methods Drug Therapy - statistics & numerical data Employment Employment - statistics & numerical data Family income Female Genital Neoplasms, Female - pathology Genital Neoplasms, Female - therapy Gynecologic Surgical Procedures - methods Gynecologic Surgical Procedures - statistics & numerical data Health aspects Humans Investigations Japan Logistic Models Marital status Medical diagnosis Middle Aged Neoplasm Staging Patient outcomes Pelvic cancer Personal income Quality of life Questionnaires Radiation Radiotherapy - methods Radiotherapy - statistics & numerical data Return to Work - statistics & numerical data Self employment Surgery Surveys and Questionnaires Survivors - statistics & numerical data Time Factors Workplace - statistics & numerical data |
| title | Return to work after cancer treatment of gynecologic cancer in Japan |
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