Search

Background: Maternal mortality (MM) was persistently high for several decades in Ethiopia though it has declined in recent years. The roles of time-varying elements in this decrease are unknown. Analyzing MM with age-period-cohort analysis will provide evidence to policymakers to re-direct resources towards vulnerable age groups. The aim of this analysis was to determine the role of age effect, period effect and birth cohort effect on the trend of age-specific maternal mortality in Ethiopia. Methods: Age-period-cohort (APC) analysis was applied to examine the effect of age, period and birth cohort on MM in Ethiopia using data from the Ethiopian Demographic and Health Survey (EDHS) from years 2000, 2005, 2011 and 2016. Age-specific maternal mortality rates were calculated using standardized maternal death compared to age-specific population per 100,000 woman-years of exposure and the trend was analyzed. Result: In most age groups, the MM rate decreased in 2015 compared with the previous years except for older women. According to the APC analysis, the age-cohort effect explains the MM rate better than age-period effect. The period effect shows the risk ratio of MM after 2005 decreased compared with before. The cohort effect illustrates women born after 1980 has lower risk ratio compared with the older one. Conclusion: Maternal mortality in Ethiopia declined overall in recent years. However, certain age groups still face high maternal mortality rates. A national policy on MM reduction interventions for the identified high-risk age groups is required. [ABSTRACT FROM AUTHOR]

Head and neck squamous cell carcinoma (HNSCC) is the eighth most commonly diagnosed cancer in the United States. The risk of developing HNSCC increases with exposure to tobacco, alcohol and infection with human papilloma virus (HPV). HPV-associated HNSCCs have a distinct risk profile and improved prognosis compared to cancers associated with tobacco and alcohol exposure. Epigenetic changes are an important mechanism in carcinogenic progression, but how these changes differ between viral- and chemical-induced cancers remains unknown. CpG methylation at 1505 CpG sites across 807 genes in 68 well-annotated HNSCC tumor samples from the University of Michigan Head and Neck SPORE patient population were quantified using the Illumina Goldengate Methylation Cancer Panel. Unsupervised hierarchical clustering based on methylation identified 6 distinct tumor clusters, which significantly differed by age, HPV status, and three year survival. Weighted linear modeling was used to identify differentially methylated genes based on epidemiological characteristics. Consistent with previous in vitro findings by our group, methylation of sites in the CCNA1 promoter was found to be higher in HPV(+) tumors, which was validated in an additional sample set of 128 tumors. After adjusting for cancer site, stage, age, gender, alcohol consumption, and smoking status, HPV status was found to be a significant predictor for DNA methylation at an additional 11 genes, including CASP8 and SYBL1. These findings provide insight into the epigenetic regulation of viral vs. chemical carcinogenesis and could provide novel targets for development of individualized therapeutic and prevention regimens based on environmental exposures. [ABSTRACT FROM AUTHOR]