Psychosocial Stress and Cervical Neoplasia Risk

OBJECTIVE: We assessed the association between psychosocial stress and preinvasive cervical neoplasia development controlling for HR-HPV infection. METHODS: This case-control study enrolled low-income women receiving family planning services at health department clinics. There were 59 cases with biopsy confirmed HSIL and 163 with low-grade SIL and 160 controls with normal cervical cytology. A modified SLE scale was used to measure stressful events and the perceived impact of the event in the prior 5 years. Unconditional logistic regression was used to assess SIL risk and stressful events scores and by subscales. RESULTS: After adjusting for age, HR-HPV infection, and lifetime number of sex partners, the SLE count score was associated with an increased risk of SIL among white women (aOR = 1.20; 95% CI = 1.04, 1.38) yet not among African American women (aOR = 1.02; 95% CI = 0.87, 1.19). The relationship stress subscale (divorce, infidelity, an increase in the number of arguments, and psychological and physical partner violence) was the only one of four subscales (loss, violence, and financial stress) associated with SIL, again, only among white women (aOR = 1.54; 95% CI = 1.21, 1.96). CONCLUSIONS: These data suggest that psychosocial stress may play a role in SIL development. Future studies are needed to confirm these findings, to explore racial difference in reporting stress, and to explore the mechanism through which psychosocial stress may affect cervical neoplasia risk

MedZIM: Mediation analysis for Zero-Inflated Mediators with applications to microbiome data

The human microbiome can contribute to the pathogenesis of many complex diseases such as cancer and Alzheimer's disease by mediating disease-leading causal pathways. However, standard mediation analysis is not adequate in the context of microbiome data due to the excessive number of zero values in the data. Zero-valued sequencing reads, commonly observed in microbiome studies, arise for technical and/or biological reasons. Mediation analysis approaches for analyzing zero-inflated mediators are still lacking largely because of challenges raised by the zero-inflated data structure: (a) disentangling the mediation effect induced by the point mass at zero; and (b) identifying the observed zero-valued data points that are actually not zero (i.e., false zeros). We develop a novel mediation analysis method under the potential-outcomes framework to fill this gap. We show that the mediation effect of the microbiome can be decomposed into two components that are inherent to the two-part nature of zero-inflated distributions. The first component corresponds to the mediation effect attributable to a unit-change over the positive relative abundance and the second component corresponds to the mediation effect attributable to discrete binary change of the mediator from zero to a non-zero state. With probabilistic models to account for observing zeros, we also address the challenge with false zeros. A comprehensive simulation study and the applications in two real microbiome studies demonstrate that our approach outperforms existing mediation analysis approaches.Comment: Corresponding: Zhigang L

Social Factors Affecting Treatment of Cervical Cancer: Ethical Issues and Policy Implications

Health care in the United States has become a privilege rather than a right. Patients who have the greatest need are the ones most likely to be denied this privilege. Despite recent advances in disease detection and treatment, many patients do not receive even the bare minimum of care. The high complexity of the health care system in the setting of patients with low levels of health literacy significantly affects the ability to seek and receive treatment in a timely fashion. In addition, lack of insurance, transportation, and social support further complicate access to care. To truly provide a standard of care to all patients, regardless of resources, our health care system must evolve to address the needs of the population. In this paper, we report a tragic case where social factors affected the outcome of a single mother with advanced cervical cancer

Diabetes and Prostate Cancer Screening in Black and White Men

PURPOSE: Prior studies conducted primarily among white men find a reduced risk of prostate cancer associated with time since developing diabetes. While biologic explanations are plausible, the association may in part arise from more frequent prostate cancer screening among those with a diabetes diagnosis. The purpose of the present study was to investigate the association between diabetes and prostate cancer screening. METHODS: We examined differences in prostate cancer screening (prostate-specific antigen and/or digital rectal examination) testing practices after a diabetes diagnosis among lower-income persons living in the southeastern United States and enrolled in the Southern Community Cohort Study between 2002 and 2009. Baseline in-person interviews collected information on history of diabetes and prostate cancer screening from 18,809 black and 6,404 white men aged 40-79 years. RESULTS: After adjustment for confounding, diabetic black [odds ratio (OR) 1.12, 95 % confidence interval (CI) 1.01-1.25] and white (OR 1.25, 95 % CI 1.03-1.51) men were more likely to undergo recent prostate cancer screening compared to non-diabetic men of the same race. The increased risk for prostate cancer screening, however, occurred primarily within the first 12 months after diabetes diagnosis. CONCLUSIONS: Our results suggest that a diabetes diagnosis modestly increases the likelihood of having a prostate cancer screening test for both black and white men. The prevalence of screening was higher nearer to the time of diabetes diagnosis, which may contribute to an early increase in prostate cancer detection followed by lower prostate cancer detection after an extended time

Sex-Specific Associations of Infants’ Gut Microbiome with Arsenic Exposure in A US Population

Arsenic is a ubiquitous environmental toxicant with antimicrobial properties that can be found in food and drinking water. The influence of arsenic exposure on the composition of the human microbiome in US populations remains unknown, particularly during the vulnerable infant period. We investigated the relationship between arsenic exposure and gut microbiome composition in 204 infants prospectively followed as part of the New Hampshire Birth Cohort Study. Infant urine was analyzed for total arsenic concentration using inductively coupled plasma mass spectrometry. Stool microbiome composition was determined using sequencing of the bacterial 16S rRNA gene. Infant urinary arsenic related to gut microbiome composition at 6 weeks of life (p = 0.05, adjusted for infant feeding type and urine specific gravity). Eight genera, six within the phylum Firmicutes, were enriched with higher arsenic exposure. Fifteen genera were negatively associated with urinary arsenic concentration, including Bacteroides and Bifidobacterium. Upon stratification by both sex and feeding method, we found detectable associations among formula-fed males (p = 0.008), but not other groups (p \u3e 0.05 for formula-fed females and for breastfed males and females). Our findings from a US population indicate that even moderate arsenic exposure may have meaningful, sex-specific effects on the gut microbiome during a critical window of infant development

Strategy to Enhance Influenza Surveillance Worldwide1

Sentinel surveillance for severe acute respiratory infection and influenza-like illness is effective in resource-limited settings

Postpartum nurses' perceptions of barriers to screening for intimate partner violence: a cross-sectional survey

Article deposited according to agreement with BMC, December 6, 2010.YesFunding provided by the Open Access Authors Fund