How Influential are Adverse Childhood Experiences (ACEs) on Youths?: Analyzing the Immediate and Lagged Effect of ACEs on Deviant Behaviors.

Although the effect of adverse childhood experiences (ACEs) on antisocial behaviors is well established in the literature, limited research, if any, has analyzed the effect that ACEs have on behaviors at two different times. Limited research also has analyzed the effect that specific ACEs have on deviant behaviors after statistically controlling for respondents' protective factors. This study expands the literature in this area by analyzing in a sample of 555 adolescents the immediate and lagged effect that individual ACEs, and exposure to a number of ACEs, have on three deviant behaviors after controlling for respondents' protective factors not previously examined in ACEs studies. Results obtained from multivariate logistic regression models revealed that stealing things was predicted by being hit hard, being sexually molested, and having lived with a depressed or suicidal individual; and receiving threats over the internet predicted physical fights. Only being hit hard and living with an alcoholic had a lagged effect on smoking marijuana. Results also showed that the protective factors of school connection, anger management skills, and parental supervision reduced the effect of ACEs on the behaviors analyzed. Research, theory, and policy implications are discussed.

Incidence of Diabetes Mellitus and Obesity and the Overlap of Comorbidities in HIV+ Hispanics Initiating Antiretroviral Therapy.

BACKGROUND: Cardiovascular disease (CVD) is a leading health threat for HIV+ patients on antiretroviral therapy (ART); cardiometabolic comorbidities are key predictors of risk. Data are limited on incidence of metabolic comorbidities in HIV+ individuals initiating ART in low and middle income countries (LMICs), particularly for Hispanics. We examined incidence of diabetes and obesity in a prospective cohort of those initiating ART in the Dominican Republic. METHODS: Participants ≥18 years, initiating ART <90 days prior to study enrollment, were examined for incidence of impaired fasting glucose (IFG), diabetes mellitus (DM), overweight, and obesity. Fasting plasma glucose (FPG) 100-125mg/dl defined IFG; FPG ≥126 mg/dl, diagnosis per medical record, or use of hypoglycemic medication defined DM. Overweight and obesity were BMI 25-30 and ≥30kg/m2, respectively. Dyslipidemia was total cholesterol ≥240mg/dl or use of lipid-lowering medication. Framingham risk equation was used to determine ten-year CVD risk at the end of observation. RESULTS: Of 153 initiating ART, 8 (6%) had DM and 23 (16%) had IFG at baseline, 6 developed DM (28/1000 person-years follow up [PYFU]) and 46 developed IFG (329/1000 PYFU). At baseline, 24 (18%) were obese and 36 (27%) were overweight, 15 became obese (69/1000 PYFU) and 22 became overweight (163/1000 PYFU). Median observation periods for the diabetes and obesity analyses were 23.5 months and 24.3 months, respectively. Increased CVD risk (≥10% 10-year Framingham risk score) was present for 13% of the cohort; 79% of the cohort had ≥1 cardiometabolic comorbidity, 48% had ≥2, and 13% had all three. CONCLUSIONS: In this Hispanic cohort in an LMIC, incidences of IFG/DM and overweight/obesity were similar to or higher than that found in high income countries, and cardiometabolic disorders affected three-quarters of those initiating ART. Care models incorporating cardiovascular risk reduction into HIV treatment programs are needed to prevent CVD-associated mortality in this vulnerable population.

Patterns of geographic mobility predict barriers to engagement in HIV care and antiretroviral treatment adherence.

Migration and geographic mobility increase risk for HIV infection and may influence engagement in HIV care and adherence to antiretroviral therapy. Our goal is to use the migration-linked communities of Santo Domingo, Dominican Republic, and New York City, New York, to determine the impact of geographic mobility on HIV care engagement and adherence to treatment. In-depth interviews were conducted with HIV+Dominicans receiving antiretroviral therapy, reporting travel or migration in the past 6 months and key informants (n=45). Mobility maps, visual representations of individual migration histories, including lifetime residence(s) and all trips over the past 2 years, were generated for all HIV+ Dominicans. Data from interviews and field observation were iteratively reviewed for themes. Mobility mapping revealed five distinct mobility patterns: travel for care, work-related travel, transnational travel (nuclear family at both sites), frequent long-stay travel, and vacation. Mobility patterns, including distance, duration, and complexity, varied by motivation for travel. There were two dominant barriers to care. First, a fear of HIV-related stigma at the destination led to delays seeking care and poor adherence. Second, longer trips led to treatment interruptions due to limited medication supply (30-day maximum dictated by programs or insurers). There was a notable discordance between what patients and providers perceived as mobility-induced barriers to care and the most common barriers found in the analysis. Interventions to improve HIV care for mobile populations should consider motivation for travel and address structural barriers to engagement in care and adherence.

High risk of obesity and weight gain for HIV-infected uninsured minorities.

BACKGROUND: Obesity and HIV disproportionately affect minorities and have significant health risks, but few studies have examined disparities in weight change in HIV-seropositive (HIV+) cohorts. OBJECTIVE: To determine racial and health insurance disparities in significant weight gain in a predominately Hispanic HIV+ cohort. METHODS: Our observational cohort study of 1214 nonunderweight HIV+ adults from 2007 to 2010 had significant weight gain [≥3% annual body mass index (BMI) increase] as the primary outcome. The secondary outcome was continuous BMI over time. A 4-level race-ethnicity/insurance predictor reflected the interaction between race-ethnicity and insurance: insured white (non-Hispanic), uninsured white, insured minority (Hispanic or black), or uninsured minority. Logistic and mixed-effects models adjusted for baseline BMI, age, gender, household income, HIV transmission category, antiretroviral therapy type, CD4 count, plasma HIV-1 RNA, observation months, and visit frequency. RESULTS: The cohort was 63% Hispanic and 14% black; 13.3% were insured white, 10.0% uninsured white, 40.9% insured minority, and 35.7% uninsured minority. At baseline, 37.5% were overweight, 22.1% obese. Median observation was 3.25 years. Twenty-four percent of the cohort had significant weight gain, which was more likely for uninsured minority patients than insured whites [adjusted odds ratio = 2.85, 95% confidence intervals (CIs): 1.66 to 4.90]. The rate of BMI increase in mixed-effects models was greatest for uninsured minorities. Of 455 overweight at baseline, 29% were projected to become obese in 4 years. CONCLUSIONS AND RELEVANCE: In this majority Hispanic HIV+ cohort, 60% were overweight or obese at baseline, and uninsured minority patients gained weight more rapidly. These data should prompt greater attention by HIV providers for prevention of obesity.

HIV care for geographically mobile populations.

The interaction between geographic mobility and risk for human immunodeficiency virus infection is well recognized, but what happens to those same individuals, once infected, as they transition to living with the infection? Does mobility affect their transition into medical care? If so, do mobile and nonmobile populations achieve similar success with antiretroviral treatment? The definition of mobility has changed over the centuries to encompass a complex phenotype including permanent migration, frequent travel, circular migration, and travel to and from treatment centers. The heterogeneity of these definitions leads to discordant findings. Investigations show that mobility has an impact on infection risk, but fewer data exist on the impact of geographic mobility on medical care and treatment outcomes. This review will examine existing data regarding the impact of geographic mobility on access to and maintenance in medical care and on adherence to antiretroviral therapy for those living with human immunodeficiency virus infection. It will also expand the concept of mobility to include data on the impact of the distance from residence to clinic on medical care and treatment adherence. Our conclusions are that the existing literature is limited by varying definitions of mobility and the inherent oversimplification necessary to apply a "mobility measure" in a statistical analysis. The impact of mobility on antiretroviral treatment outcomes deserves further exploration to both define the phenomenon and target interventions to these at-risk populations.