Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study

Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Rottenberg, Yakir [verfasserIn] de Boer, Angela G. E. M. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Unemployment cohort study a population based study

Anmerkung:	© Springer Science+Business Media, LLC, part of Springer Nature 2020

Übergeordnetes Werk:	Enthalten in: Journal of cancer survivorship - Springer US, 2007, 14(2020), 2 vom: 14. Feb., Seite 151-157
Übergeordnetes Werk:	volume:14 ; year:2020 ; number:2 ; day:14 ; month:02 ; pages:151-157

Links:	Volltext

DOI / URN:	10.1007/s11764-020-00858-y

Katalog-ID:	SPR039515567

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520			\|a Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment.
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allfields	10.1007/s11764-020-00858-y doi (DE-627)SPR039515567 (SPR)s11764-020-00858-y-e DE-627 ger DE-627 rakwb eng 610 VZ 44.81 bkl Rottenberg, Yakir verfasserin aut Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. Unemployment (dpeaa)DE-He213 cohort study (dpeaa)DE-He213 a population based study (dpeaa)DE-He213 de Boer, Angela G. E. M. verfasserin aut Enthalten in Journal of cancer survivorship Springer US, 2007 14(2020), 2 vom: 14. Feb., Seite 151-157 (DE-627)545787807 (DE-600)2388888-X 1932-2267 nnns volume:14 year:2020 number:2 day:14 month:02 pages:151-157 https://dx.doi.org/10.1007/s11764-020-00858-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 VZ AR 14 2020 2 14 02 151-157
spelling	10.1007/s11764-020-00858-y doi (DE-627)SPR039515567 (SPR)s11764-020-00858-y-e DE-627 ger DE-627 rakwb eng 610 VZ 44.81 bkl Rottenberg, Yakir verfasserin aut Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. Unemployment (dpeaa)DE-He213 cohort study (dpeaa)DE-He213 a population based study (dpeaa)DE-He213 de Boer, Angela G. E. M. verfasserin aut Enthalten in Journal of cancer survivorship Springer US, 2007 14(2020), 2 vom: 14. Feb., Seite 151-157 (DE-627)545787807 (DE-600)2388888-X 1932-2267 nnns volume:14 year:2020 number:2 day:14 month:02 pages:151-157 https://dx.doi.org/10.1007/s11764-020-00858-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 VZ AR 14 2020 2 14 02 151-157
allfields_unstemmed	10.1007/s11764-020-00858-y doi (DE-627)SPR039515567 (SPR)s11764-020-00858-y-e DE-627 ger DE-627 rakwb eng 610 VZ 44.81 bkl Rottenberg, Yakir verfasserin aut Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. Unemployment (dpeaa)DE-He213 cohort study (dpeaa)DE-He213 a population based study (dpeaa)DE-He213 de Boer, Angela G. E. M. verfasserin aut Enthalten in Journal of cancer survivorship Springer US, 2007 14(2020), 2 vom: 14. Feb., Seite 151-157 (DE-627)545787807 (DE-600)2388888-X 1932-2267 nnns volume:14 year:2020 number:2 day:14 month:02 pages:151-157 https://dx.doi.org/10.1007/s11764-020-00858-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 VZ AR 14 2020 2 14 02 151-157
allfieldsGer	10.1007/s11764-020-00858-y doi (DE-627)SPR039515567 (SPR)s11764-020-00858-y-e DE-627 ger DE-627 rakwb eng 610 VZ 44.81 bkl Rottenberg, Yakir verfasserin aut Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. Unemployment (dpeaa)DE-He213 cohort study (dpeaa)DE-He213 a population based study (dpeaa)DE-He213 de Boer, Angela G. E. M. verfasserin aut Enthalten in Journal of cancer survivorship Springer US, 2007 14(2020), 2 vom: 14. Feb., Seite 151-157 (DE-627)545787807 (DE-600)2388888-X 1932-2267 nnns volume:14 year:2020 number:2 day:14 month:02 pages:151-157 https://dx.doi.org/10.1007/s11764-020-00858-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 VZ AR 14 2020 2 14 02 151-157
allfieldsSound	10.1007/s11764-020-00858-y doi (DE-627)SPR039515567 (SPR)s11764-020-00858-y-e DE-627 ger DE-627 rakwb eng 610 VZ 44.81 bkl Rottenberg, Yakir verfasserin aut Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. Unemployment (dpeaa)DE-He213 cohort study (dpeaa)DE-He213 a population based study (dpeaa)DE-He213 de Boer, Angela G. E. M. verfasserin aut Enthalten in Journal of cancer survivorship Springer US, 2007 14(2020), 2 vom: 14. Feb., Seite 151-157 (DE-627)545787807 (DE-600)2388888-X 1932-2267 nnns volume:14 year:2020 number:2 day:14 month:02 pages:151-157 https://dx.doi.org/10.1007/s11764-020-00858-y X:SPRINGER Resolving-System lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 VZ AR 14 2020 2 14 02 151-157
language	English
source	Enthalten in Journal of cancer survivorship 14(2020), 2 vom: 14. Feb., Seite 151-157 volume:14 year:2020 number:2 day:14 month:02 pages:151-157
sourceStr	Enthalten in Journal of cancer survivorship 14(2020), 2 vom: 14. Feb., Seite 151-157 volume:14 year:2020 number:2 day:14 month:02 pages:151-157
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Unemployment cohort study a population based study
dewey-raw	610
isfreeaccess_bool	false
container_title	Journal of cancer survivorship
authorswithroles_txt_mv	Rottenberg, Yakir @@aut@@ de Boer, Angela G. E. M. @@aut@@
publishDateDaySort_date	2020-02-14T00:00:00Z
hierarchy_top_id	545787807
dewey-sort	3610
id	SPR039515567
language_de	englisch
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Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). 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author	Rottenberg, Yakir
spellingShingle	Rottenberg, Yakir ddc 610 bkl 44.81 misc Unemployment misc cohort study misc a population based study Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study
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topic_title	610 VZ 44.81 bkl Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study Unemployment (dpeaa)DE-He213 cohort study (dpeaa)DE-He213 a population based study (dpeaa)DE-He213
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title	Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study
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title_full	Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study
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author_browse	Rottenberg, Yakir de Boer, Angela G. E. M.
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title_sort	risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study
title_auth	Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study
abstract	Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. © Springer Science+Business Media, LLC, part of Springer Nature 2020
abstractGer	Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. © Springer Science+Business Media, LLC, part of Springer Nature 2020
abstract_unstemmed	Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. Implications for cancer survivors The current study emphasizes the need for tailored intervention in order to mitigate the long-term risk of unemployment. © Springer Science+Business Media, LLC, part of Springer Nature 2020
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title_short	Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study
url	https://dx.doi.org/10.1007/s11764-020-00858-y
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author2	de Boer, Angela G. E. M.
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up_date	2024-07-04T00:17:26.652Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR039515567</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240606064702.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11764-020-00858-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR039515567</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11764-020-00858-y-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.81</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rottenberg, Yakir</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media, LLC, part of Springer Nature 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Purpose To clarify the association between cancer diagnosis and subsequent risk of being unemployed at 10 years after diagnosis among very long-term survivors. Methods A historical cohort study using prospectively collected data was done which included baseline measurements from the Israeli national census. Only patients who were 50 years old or younger at the time of diagnosis were included in the current study. Binary logistic regression analyses were used to assess odds ratios for unemployment at 10 years following diagnosis, while controlling for socioeconomic measurements and employment status at 2 years prior to diagnosis. Results The final study population included 2493 patients who were diagnosed with cancer and 7360 persons without a history of cancer, after excluding individuals who died before the end of 2015. After controlling for confounders, positive associations were found between cancer and increased risk for unemployment at 10 years (OR = 1.31, 95% CI 1.17–1.47). Analysis by cancer type revealed that patients who were diagnosed with CNS malignancies (OR = 2.71, 95% CI 1.80–4.07), followed by patients who were diagnosed with lymphoma (OR = 1.66, 95% CI 1.16–1.28) showed the greatest magnitude of effect, while the association between unemployment at 10 years following diagnosis and breast cancer was found to weaken and actually lose significance (adjusted OR = 1.22, 95% CI 0.99–1.50). Conclusions Cancer survivors have an increased risk for long-term unemployment among very long-term survivors, mainly among patients diagnosed with CNS malignancies and lymphoma. 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Risk for unemployment at 10 years following cancer diagnosis among very long-term survivors: a population based study

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