Suicide Among Persons With Dementia, Georgia, 2013 to 2016.

INTRODUCTION: Findings from studies examining the relationship between dementia and suicide have been inconsistent. This study examined the characteristics, precipitants, and risk factors for suicide among persons with dementia. METHODS: Data from the Georgia Alzheimer's Disease and Related Dementia registry were linked with 2013 to 2016 data from Georgia Vital Records and Georgia Violent Death Reporting System. Descriptive statistics were calculated and logistic regression was used to examine risk factors for suicide. RESULTS: Ninety-one Georgia residents with dementia who died by suicide were identified. Among decedents with known circumstances, common precipitants included depressed mood (38.7%) and physical health problems (72.6%). Suicide rate among persons with dementia was 9.3 per 100 000 person-years overall and substantially higher among those diagnosed in the past 12 months (424.5/100 000 person-years). Being male, dementia diagnosis before age 65, and a recent diagnosis of dementia independently predicted suicide, but not depression or cardiovascular diseases. CONCLUSION: Prevention strategies that identify at-risk individuals, provide support, and ensure continuity of care for persons diagnosed with dementia may help reduce suicide in this population.

Association of cutaneous melanoma incidence with area-based socioeconomic indicators-United States, 2004-2006.

BACKGROUND: Socioeconomic status (SES) has been associated with melanoma incidence and outcomes. Examination of the relationship between melanoma and SES at the national level in the United States is limited. Expanding knowledge of this association is needed to improve early detection and eliminate disparities. OBJECTIVE: We sought to provide a detailed description of cutaneous melanoma incidence and stage of disease in relationship to area-based socioeconomic measures including poverty level, education, income, and unemployment in the United States. METHODS: Invasive cutaneous melanoma data reported by 44 population-based central cancer registries for 2004 to 2006 were merged with county-level SES estimates from the US Census Bureau. Age-adjusted incidence rates were calculated by gender, race/ethnicity, poverty, education, income, unemployment, and metro/urban/rural status using software. Poisson multilevel mixed models were fitted, and incidence density ratios were calculated by stage for area-based SES measures, controlling for age, gender, and state random effects. RESULTS: Counties with lower poverty, higher education, higher income, and lower unemployment had higher age-adjusted melanoma incidence rates for both early and late stage. In multivariate models, SES effects persisted for early-stage but not late-stage melanoma incidence. LIMITATIONS: Individual-level measures of SES were unavailable, and estimates were based on county-level SES measures. CONCLUSION: Our findings show that melanoma incidence in the United States is associated with aggregate county-level measures of high SES. Analyses using finer-level SES measures, such as individual or census tract level, are needed to provide more precise estimates of these associations.