Omar Abdel-Rahman1. 1. Department of Oncology, University of Alberta, Cross Cancer Institute, Edmonton, Alberta, T6G 1Z2, Canada. Electronic address: omar.abdelsalam@ahs.ca.
Abstract
OBJECTIVE: To assess the socioeconomic predictors of suicide risk among cancer patients in the United States. METHODS: Cancer patients available within Surveillance, Epidemiology and End Results (SEER) database who were diagnosed between 2000-2010 have been reviewed. Linkage analysis to Census 2000 SF files was conducted to determine area-based socioeconomic attributes. Observed/ Expected ratios were calculated for the overall cohort as well as for clinically and socioeconomically defined subgroups. "Observed" is the number of observed completed suicide cases in the studied cohort; while "Expected" is the number of completed suicide cases in a demographically similar cohort within the United States and within the same period of time. RESULTS: The current study reviews a total of 3,149,235 cancer patients (diagnosed 2000-2010) within the SEER database. Regarding socioeconomic county attributes, higher risk of suicide seems to be associated with lower educational attainment (O/E for counties with > 20% individuals with less than high school education: 1.41; 95% CI: 1.35-1.47), poverty rates (O/E for counties with > 5% individuals below poverty line: 1.39; 95% CI: 1.34-1.43), unemployment rates (O/E for counties with >5% families below poverty line: 1.36; 95% CI: 1.31-1.41) and less people living in urban areas (O/E for counties with < 50% individuals living in urban areas: 1.63; 95% CI: 1.50-1.77). On the other hand, risk of suicide seems to be inversely related to a higher representation of foreign-born individuals (O/E for counties with < 5% foreign-born individuals: 1.56; 95% CI: 1.47-1.65); and inversely related to a higher representation with recent immigrants to the US (O/E for counties with < 5% recent immigrants: 1.33; 95% CI: 1.29-1.38). CONCLUSIONS: Cancer patients living in a socioeconomically vulnerable environment (lower educational status, poverty, and unemployment) seem to have higher suicide risk compared to other cancer patients.
OBJECTIVE: To assess the socioeconomic predictors of suicide risk among cancerpatients in the United States. METHODS:Cancerpatients available within Surveillance, Epidemiology and End Results (SEER) database who were diagnosed between 2000-2010 have been reviewed. Linkage analysis to Census 2000 SF files was conducted to determine area-based socioeconomic attributes. Observed/ Expected ratios were calculated for the overall cohort as well as for clinically and socioeconomically defined subgroups. "Observed" is the number of observed completed suicide cases in the studied cohort; while "Expected" is the number of completed suicide cases in a demographically similar cohort within the United States and within the same period of time. RESULTS: The current study reviews a total of 3,149,235 cancerpatients (diagnosed 2000-2010) within the SEER database. Regarding socioeconomic county attributes, higher risk of suicide seems to be associated with lower educational attainment (O/E for counties with > 20% individuals with less than high school education: 1.41; 95% CI: 1.35-1.47), poverty rates (O/E for counties with > 5% individuals below poverty line: 1.39; 95% CI: 1.34-1.43), unemployment rates (O/E for counties with >5% families below poverty line: 1.36; 95% CI: 1.31-1.41) and less people living in urban areas (O/E for counties with < 50% individuals living in urban areas: 1.63; 95% CI: 1.50-1.77). On the other hand, risk of suicide seems to be inversely related to a higher representation of foreign-born individuals (O/E for counties with < 5% foreign-born individuals: 1.56; 95% CI: 1.47-1.65); and inversely related to a higher representation with recent immigrants to the US (O/E for counties with < 5% recent immigrants: 1.33; 95% CI: 1.29-1.38). CONCLUSIONS:Cancerpatients living in a socioeconomically vulnerable environment (lower educational status, poverty, and unemployment) seem to have higher suicide risk compared to other cancerpatients.
Authors: Daniel B Rosoff; Zachary A Kaminsky; Andrew M McIntosh; George Davey Smith; Falk W Lohoff Journal: Transl Psychiatry Date: 2020-11-09 Impact factor: 6.222