HIV and tuberculosis co-infection in East Asia and the Pacific from 1990 to 2017: Results from the Global Burden of Disease Study 2017

Background: Periodic surveillance is crucial to provide information for resource allocation to control HIV/AIDS, tuberculosis (TB), and their co-infection, especially in areas with high morbidity and mortality like East Asia and the Pacific. Therefore, we examined the morbidity and mortality of HIV/AIDS and TB co-infection in this region from 1990 to 2017. Methods: Utilizing the Global Burden of Disease (GBD) Study 2017, we obtained incidence, prevalence, and mortality numbers and rates of HIV/AIDS and TB co-infection, including HIV and drug-susceptible TB (DS-TB), multidrug-resistant TB without extensive drug resistance (MDR-TB without XDR), and extensive drug-resistant TB (XDR-TB). The trends in incidence, prevalence, and mortality from 1990 to 2017 for each co-infection type were analyzed using join-point regression modelling. Results: In 2017, there were 238,372, 4,294, and 392 new cases of HIV-infected DS-TB, HIV-infected MDR-TB without XDR, and HIV-infected XDR-TB, respectively. The number of prevalent cases and deaths were 383,809 and 12,197 of HIV-infected DS-TB, 7,811 and 1,168 of HIV-infected MDR-TB without XDR, and 713 and 282 of HIV-infected XDR-TB. From 1990 to 2017, the age-standardized incidence rate and prevalence rate of HIV-infected DS-TB, and the prevalence rate of HIV-infected XDR-TB continuously increased; the incidence rate of HIV-infected XDR-TB increased from 1990 to 2005 before stabilizing. However, the incidence and prevalence rates of HIV-infected MDR-TB without XDR-as well as the mortality rates of all co-infection types-have decreased in the last 5 years. Conclusions: Even though the mortality rates of all HIV and TB co-infection types have decreased recently, the overall trends in both incidence and prevalence rates of HIV-infected DS-TB and XDR-TB have been increasing since 1990. Efforts to control co-infection across drug resistance types should be continued and further strengthened

Motherhood, psychological risks, and resources in relation to alcohol use disorder: Are there differences between black and white women?

Rates of alcohol use disorders (AUD) are generally low among women who have ever had children (mothers) compared to women who have never had children (nonmothers), presenting a motherhood advantage. It is unclear if this advantage accrues to “Black” and “White” women alike. Using National Epidemiological Survey on Alcohol and Related Conditions (NESARC) wave 2 cross-sectional data that is rich in alcohol use and psychological measures, we examined the following: (a) if motherhood is protective for past-year AUD among Black (N = 4,133) and White women (N = 11,017); (b) potential explanatory psychological mechanisms; and (c) the role of race. Prevalence of a past-year DSM-IV AUD was lower among White mothers compared to White nonmothers, but this same advantage was not observed for Black women. Perceived stress was a risk for all women, but race-ethnic segregated social networks and perceived discrimination predicted current AUD for Black mothers. Unlike White mothers, current psychological factors but not family history of alcohol problems predicted AUD for Black mothers. Future prospective studies should address the mechanisms by which race, motherhood, and psychological factors interactively affect AUD in women

Public Health Research Priorities to Address US Human Trafficking

In this Perspective, HEAL Trafficking, the nation\u27s leading public health anti-trafficking organization maps out a national research agenda to tackle the problem of human trafficking. Given the paucity of research on trafficking, HEAL Trafficking engaged its membership in a consensus development process throughout 2016 to develop its national research agenda. HEAL Trafficking proposes five priorities that public health researchers should focus on in the decade ahead to make meaningful progress on preventing and responding to human trafficking in the Unites States

Prevalence estimates of trafficking in persons using statistical definitions: A cross-sectional high-risk community survey in Cape Town, South Africa

OBJECTIVES: Current research on trafficking in persons (TIP) relies heavily on legal and prosecutorial definitions. A public health approach has called for population-level assessment; however, identification of TIP victims lacks a standardised operational definition. This study applied the Prevalence Reduction Innovation Forum (PRIF) statistical definitions, developed by the US Department of State, to a community survey in Cape Town, South Africa. DESIGNS: A high-risk sampling strategy was used. TIP screening questions from two instruments were matched with PRIF domain indicators to generate prevalence estimates. Sensitivity, specificity and receiver operating characteristics analyses were conducted to assess the performance of the two screeners. SETTING: Cross-sectional survey conducted in Cape Town, South Africa, from January to October 2021. PARTICIPANTS: South Africans and immigrants from other nations residing in Cape Town and its surrounding areas, aged 18 or older, who met the study inclusion criteria for a set of experiences that were identified as TIP risk factors. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome measures were PRIF lifetime and past 12-month TIP positivity. Secondary outcome measures included individual and summary measures from the two screeners. RESULTS: Our PRIF algorithm yielded a TIP lifetime prevalence rate of 17.0% and past 12-month rate of 2.9%. Summary measures from each TIP screener showed an excellent range of predictive utility. The summary screener measures yielded statistically significant differences among some demographic and background categories. Several screener items were shown less predictive of the PRIF statistical definition criteria than others. CONCLUSIONS: Prevalence estimates of probable TIP were higher than those reported elsewhere. Our TIP screeners yielded an excellent range of predictive utility for the statistical definitions, promising the potential for wider applications in global and regional TIP research and policymaking. A more systematic sampling strategy is needed even if statistical definitions become widely used