Public Health Reports®

The objective of this study was to understand predictors of hepatitis C virus (HCV) antibody positivity in a large urban jail system in New York City.

We examined demographic characteristics, risk behaviors, and HCV antibody prevalence among 10 790 jail inmates aged 16 to 86 who were screened from June 13, 2013, to June 13, 2014, based on birth cohort or conventional high-risk criteria. We used logistic regression analysis to determine predictors of HCV antibody positivity.

Of the 10 790 inmates screened, 2221 (20.6%) were HCV antibody positive. In the multivariate analysis, HCV antibody positivity was associated most strongly with injection drug use (IDU; adjusted odds ratio [aOR] = 35.0; 95% confidence interval [CI], 28.5-43.0). Women were more likely than men to be infected with HCV (aOR = 1.3; 95% CI, 1.1-1.5). Compared with non-Hispanic black people, Hispanic (aOR = 2.1; 95% CI, 1.8-2.4) and non-Hispanic white (aOR = 1.7; 95% CI, 1.5-2.1) people were more likely to be infected with HCV. Non-IDU, recidivism, HIV infection, homelessness, mental illness, and lower education level were all significantly associated with HCV infection. The prevalence rate of HCV infection among a subset of inmates born after 1965 who denied IDU and were not infected with HIV was 5.6% (198 of 3529). Predictors of HCV infection among this group included non-IDU as well as being non-Hispanic white, Hispanic, recidivist, and homeless.

These data reveal differences in HCV infection by sex, race/ethnicity, and socioeconomics in a large jail population, suggesting that a focused public health intervention is required and that universal screening may be warranted. Further sensitivity and cost-benefit analyses are needed to make this determination.

Analysis of HIV nucleotide sequences can be used to identify people with highly similar HIV strains and understand transmission patterns. The objective of this study was to identify groups of people highly connected by HIV transmission and the extent to which transmission occurred within and between geographic areas in Chicago, Illinois.

We analyzed genetic sequences in the HIV-1 pol region in samples collected from people participating in the VARHS program in Chicago during 2005-2011. We determined pairwise genetic distance, inferred potential transmission events between HIV-infected people whose sequences were ≤1.5% genetically distant, and identified clusters of connected people. We used multivariable analysis to determine demographic characteristics and risk attributes associated with degree of connectivity.

Of 1154 sequences, 177 (15.3%) were tied to at least 1 other sequence. We determined that younger people, men, non-Hispanic black people, and men who have sex with men were more highly connected than other HIV-infected people. We also identified a high degree of geographic heterogeneity—48 of 67 clusters (71.6%) contained people from >1 Chicago region (north, south, or west sides).

Our results indicate a need to address HIV transmission through the networks of younger non-Hispanic black men who have sex with men. The high level of geographic heterogeneity observed suggests that HIV prevention programs should be targeted toward networks of younger people rather than geographic areas of high incidence. This study could also guide prevention efforts in other diverse metropolitan regions with characteristics similar to those of Chicago.

We investigated data from US public health laboratories funded through the Centers for Disease Control and Prevention’s Tuberculosis Elimination and Laboratory Cooperative Agreement to document trends and challenges in meeting national objectives in tuberculosis (TB) laboratory diagnoses.

We examined data on workload and turnaround time from public health laboratories’ progress reports during 2009-2013. We reviewed methodologies, laboratory roles, and progress toward rapid detection of Mycobacterium tuberculosis complex through nucleic acid amplification (NAA) testing. We compared selected data with TB surveillance reports to estimate public health laboratories’ contribution to national diagnostic services.

During the study period, culture and drug susceptibility tests decreased, but NAA testing increased. Public health laboratories achieved turnaround time benchmarks for drug susceptibility tests at lower levels than for acid-fast bacilli smear and identification from culture. NAA positivity in laboratories among surveillance-reported culture-positive TB cases increased from 26.6% (2355 of 8876) in 2009 to 40.0% (2948 of 7358) in 2013. Public health laboratories provided an estimated 50.9% (4285 of 8413 in 2010) to 57.2% (4210 of 7358 in 2013) of culture testing and 88.3% (6822 of 7727 in 2011) to 94.4% (6845 of 7250 in 2012) of drug susceptibility tests for all US TB cases.

Public health laboratories contribute substantially to TB diagnoses in the United States. Although testing volumes mostly decreased, the increase in NAA testing indicates continued progress in rapid M tuberculosis complex detection.

Reports about infectious disease (ID) hospitalization rates among American Indian/Alaska Native (AI/AN) persons have been constrained by data limited to the tribal health care system and by comparisons with the general US population. We used a merged state database to determine ID hospitalization rates in Alaska.

We combined 2010 and 2011 hospital discharge data from the Indian Health Service and the Alaska State Inpatient Database. We used the merged data set to calculate average annual age-adjusted and age-specific ID hospitalization rates for AI/AN and non-AI/AN persons in Alaska. We stratified the ID hospitalization rates by sex, age, and ID diagnosis.

ID diagnoses accounted for 19% (6501 of 34 160) of AI/AN hospitalizations, compared with 12% (7397 of 62 059) of non-AI/AN hospitalizations. The average annual age-adjusted hospitalization rate was >3 times higher for AI/AN persons (2697 per 100 000 population) than for non-AI/AN persons (730 per 100 000 population; rate ratio = 3.7, P < .001). Lower respiratory tract infection (LRTI), which occurred in 38% (2486 of 6501) of AI/AN persons, was the most common reason for ID hospitalization. AI/AN persons were significantly more likely than non-AI/AN persons to be hospitalized for LRTI (rate ratio = 5.2, P < .001).

A substantial disparity in ID hospitalization rates exists between AI/AN and non-AI/AN persons, and the most common reason for ID hospitalization among AI/AN persons was LRTI. Public health programs and policies that address the risk factors for LRTI are likely to benefit AI/AN persons.

We sought to describe the current status of perinatal HIV exposure surveillance (PHES) activities and regulations in the United States and to make recommendations to strengthen PHES.

In 2014, we sent an online survey to health departments in the 50 states, District of Columbia, Puerto Rico, Virgin Islands, and 6 cities and counties (Chicago, Illinois; Houston, Texas; Los Angeles, California; New York, New York; Philadelphia, Pennsylvania; and San Francisco, California). We analyzed responses from 56 of the 59 (95%) jurisdictions.

Thirty-three of 56 jurisdictions (59%) reported conducting PHES and following infants to determine their infection status. Of the 33 jurisdictions performing PHES, 28 (85%) linked maternal and infant data, but only 12 (36%) determined the HIV care status of postpartum women. Themes of respondents’ recommendations for strengthening PHES centered on updating laws and regulations to support PHES, reporting all HIV test results and linking vital records with PHES data to identify and follow HIV-exposed infants, communicating with health care providers to improve reporting, training staff, and getting help from experienced jurisdictions to implement PHES.

Our findings indicate that data on perinatal exposure collected through the current system are inadequate to comprehensively monitor and prevent perinatal HIV exposure and transmission. Comprehensive PHES data collection and reporting are needed to sustain the progress that has been made toward lowering perinatal HIV transmission rates. We propose that minimum standards be established for perinatal HIV exposure reporting to improve the completeness, quality, and efficiency of PHES in the United States.

Although many service members successfully cope with exposure to stress and traumatic experiences, others have symptoms of depression, posttraumatic stress disorder (PTSD), and anxiety; contextual factors may account for the variability in outcomes from these experiences. This work sought to understand mechanisms through which social support influences the mental health of service members and whether dyadic functioning mediates this relationship.

We collected cross-sectional data as part of a larger study conducted in 2013; 321 military personnel who had at least 1 deployment were included in these analyses. Surveys were completed online; we collected data on demographic characteristics, social support, mental health measures (depression, PTSD, and anxiety), and dyadic functioning. We performed process modeling through mediation analysis.

The direct effects of social support on the mental health of military personnel were limited; however, across all types of support networks, greater social support was significantly associated with better dyadic functioning. Dyadic functioning mediated the relationships between social support and depression/PTSD only when social support came from nonmilitary friends or family; dyadic functioning mediated social support and anxiety only when support came from family. We found no indirect effects of support from military peers or military leaders.

Findings here highlight the need to continue to explore ways in which social support, particularly from family and nonmilitary-connected peers, can bolster healthy intimate partner relationships and, in turn, improve the well-being of military service members who are deployed.

Increases in the frequency and length of military deployments have raised concerns about the well-being of military families. We examined the relationship between a military parent’s deployment and (1) adolescent academic and social–behavioral maladjustment and (2) parental psychological well-being.

We collected data from April 2013 through January 2014 from 1021 families of enlisted US Army personnel with children aged 12 or 13 during the Military Teenagers’ Environments, Exercise, and Nutrition Study. Through online parent surveys, we collected data on deployment, adolescent academic and social–behavioral maladjustment, and parental psychological well-being. We estimated adjusted logistic and linear regression models for adolescents (all, boys, girls), military parents (all, fathers, mothers), and civilian parents.

Compared with no or short deployments, long deployments (>180 days in the past 3 years) were associated with significantly higher odds of decreases in adolescent academic performance (adjusted odds ratio [AOR] = 1.54), independence (AOR = 2.04), and being responsible (AOR = 1.95). These associations were also significant for boys but not for girls. Among parents, long deployments were associated with significantly higher odds of being depressed (AOR = 2.58), even when controlling for adolescent maladjustment (AOR = 2.54). These associations did not differ significantly between military and civilian parents and were significant for military fathers but not military mothers. Recent deployment (in the past 12 months) was not associated with either adolescent or parent outcomes.

Long deployments are associated with adolescents’ academic and social–behavioral maladjustments and diminished parental well-being, especially among boys and military fathers.