guest ::
| Home > Publications database > Return to work after cancer. A multi-regional population-based study from Germany. > print |
| Home > Publications database > Return to work after cancer. A multi-regional population-based study from Germany. > print |
| 001 | 143980 | ||
| 005 | 20240229112613.0 | ||
| 024 | 7 | _ | |a 10.1080/0284186X.2018.1557341 |2 doi |
| 024 | 7 | _ | |a pmid:30777496 |2 pmid |
| 024 | 7 | _ | |a 0284-186X |2 ISSN |
| 024 | 7 | _ | |a 1100-1704 |2 ISSN |
| 024 | 7 | _ | |a 1651-226X |2 ISSN |
| 024 | 7 | _ | |a 1651-2499 |2 ISSN |
| 024 | 7 | _ | |a altmetric:56083880 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2019-01537 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Arndt, Volker |0 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0 |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a Return to work after cancer. A multi-regional population-based study from Germany. |
| 260 | _ | _ | |a Abingdon |c 2019 |b Taylor & Francis Group |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1565704925_29889 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Background: With improving prognosis, the ability to return to work after cancer has become a realistic goal but only little is known regarding details such as sustainability, financial consequences, and potential determinants of return to work in long-term survivors in Germany. Methods: We studied return to work in a population-based sample of 1558 long-term cancer survivors, diagnosed in 1994-2004 with breast, colorectal or prostate cancer before age 60 (mean 50.1). Information regarding employment status and financial difficulties was obtained via mailed questionnaires from patients who were identified by six population-based cancer registries in Germany. Cumulative incidence of return to work was determined by time-to-event analysis with consideration of competing events. Chi2 tests and multiple logistic regression modeling were employed to identify potential sociodemographic and clinical determinants of return to work. Results: Within a mean period since diagnosis of 8.3 years, 63% of all working-age cancer survivors initially returned to their old job and another 7% took up a new job. Seventeen percent were granted a disability pension, 6% were early retired (not cancer-related), 4% became unemployed, and 1% left the job market for other reasons. Resumption of work occurred within the first 2 years after diagnosis in 90% of all returnees. Cancer-related reduction of working hours was reported by 17% among all returnees and 6% quit their job due to cancer within 5 years past return to work. The probability of return to work was strongly related with age at diagnosis, tumor stage, education, and occupational class but did not differ with respect to the tumor site, gender nor marital status. Conclusions: Most long-term survivors after breast, colorectal, or prostate cancer of working-age are able to return to work. However, financial problems might arise due to a reduction in working hours. An additional provision of targeted interventions for high-risk groups should be discussed. |
| 536 | _ | _ | |a 313 - Cancer risk factors and prevention (POF3-313) |0 G:(DE-HGF)POF3-313 |c POF3-313 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 700 | 1 | _ | |a Koch-Gallenkamp, Lena |0 P:(DE-He78)13aa5fe9d9961c9fd67193befb0dcf88 |b 1 |u dkfz |
| 700 | 1 | _ | |a Bertram, Heike |b 2 |
| 700 | 1 | _ | |a Eberle, Andrea |0 0000-0003-4195-5236 |b 3 |
| 700 | 1 | _ | |a Holleczek, Bernd |b 4 |
| 700 | 1 | _ | |a Pritzkuleit, Ron |b 5 |
| 700 | 1 | _ | |a Waldeyer-Sauerland, Mechthild |b 6 |
| 700 | 1 | _ | |a Waldmann, Annika |0 0000-0002-5909-9936 |b 7 |
| 700 | 1 | _ | |a Zeissig, Sylke Ruth |0 0000-0002-0743-6128 |b 8 |
| 700 | 1 | _ | |a Doege, Daniela |0 P:(DE-He78)55389e9f54d8411e6e6eddcec489bb1b |b 9 |u dkfz |
| 700 | 1 | _ | |a Thong, Melissa |0 P:(DE-He78)24fe6057396bec79d2638615b12eb989 |b 10 |u dkfz |
| 700 | 1 | _ | |a Brenner, Hermann |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 11 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1080/0284186X.2018.1557341 |g Vol. 58, no. 5, p. 811 - 818 |0 PERI:(DE-600)1492623-4 |n 5 |p 811 - 818 |t Acta oncologica |v 58 |y 2019 |x 0001-6926 |
| 909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:143980 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-He78)d023fdf423d87ee6c710e34dd7581fa0 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-He78)13aa5fe9d9961c9fd67193befb0dcf88 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 9 |6 P:(DE-He78)55389e9f54d8411e6e6eddcec489bb1b |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 10 |6 P:(DE-He78)24fe6057396bec79d2638615b12eb989 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 11 |6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |
| 913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-313 |2 G:(DE-HGF)POF3-300 |v Cancer risk factors and prevention |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
| 914 | 1 | _ | |y 2019 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ACTA ONCOL : 2017 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-He78)C070-20160331 |k C070 |l Klinische Epidemiologie und Alternsforschung |x 0 |
| 920 | 1 | _ | |0 I:(DE-He78)C071-20160331 |k C071 |l Cancer Survivorship |x 1 |
| 920 | 1 | _ | |0 I:(DE-He78)L101-20160331 |k L101 |l DKTK Heidelberg |x 2 |
| 920 | 1 | _ | |0 I:(DE-He78)C120-20160331 |k C120 |l Präventive Onkologie |x 3 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)C070-20160331 |
| 980 | _ | _ | |a I:(DE-He78)C071-20160331 |
| 980 | _ | _ | |a I:(DE-He78)L101-20160331 |
| 980 | _ | _ | |a I:(DE-He78)C120-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|