Faculty Bibliography

PURPOSE/OBJECTIVE:Studies have examined trends in cannabis vaping, but research is needed to examine trends in more frequent use as this may increase risk for adverse health outcomes. METHODS:Data were from 12,561 high school seniors participating in the Monitoring the Future national study. Prevalence of self-reported frequent vaping of cannabis (defined as using ≥10 times in the past month) was compared between 2018 and 2019 cohorts. RESULTS:Frequent vaping of cannabis significantly increased from 2.1% to 4.9%, a 131.4% increase. This increase was larger than the increase for any vaping of cannabis (which increased 85.9%). Notable significant increases occurred among students aged ≥18 years (a 154.9% increase), female students (a 183.5% increase), those who go out 4-7 evenings per week (a 163.0% increase), and those reporting past-year nonmedical prescription opioid use (a 184.7% increase). CONCLUSIONS:Frequent vaping of cannabis is increasing among adolescents in the United States, particularly among selected subgroups.

INTRODUCTION/BACKGROUND:Healthcare systems are increasingly interested in identifying patients' housing-related risks, but minimal information exists to inform screening question selection. The primary study aim is to evaluate discordance among 5 housing-related screening questions used in health care. METHODS:This was a cross-sectional multisite survey of social risks used in a convenience sample of adults seeking care for themselves or their child at 7 primary care clinics and 4 emergency departments across 9 states (2018-2019). Housing-related risks were measured using 2 questions from the Accountable Health Communities screening tool (current/anticipated housing instability, current housing quality problems) and 3 from the Children's HealthWatch recommended housing instability screening measures (prior 12-month: rent/mortgage strain, number of moves, current/recent homelessness). The 2-sided Fisher's exact tests analyzed housing-related risks and participant characteristics; logistic regression explored associations with reported health (2019-2020). RESULTS:Of 835 participants, 52% screened positive for ≥1 housing-related risk (n=430). Comparing the tools, 32.8% (n=274) screened discordant: 11.9% (n=99) screened positive by Children's HealthWatch questions but negative by Accountable Health Communities, and 21.0% (n=175) screened positive by the Accountable Health Communities tool but negative by Children's HealthWatch (p<0.001). Worse health was associated with screening positive for current/anticipated housing instability (AOR=0.56, 95% CI=0.32, 0.96) or current/recent homelessness (AOR=0.57, 95% CI=0.34, 0.96). CONCLUSIONS:The 5 housing questions captured different housing-related risks, contributed to different health consequences, and were relevant to different subpopulations. Before implementing housing-related screening initiatives, health systems should understand how specific measures surface distinct housing-related barriers. Measure selection should depend on program goals and intervention resources.

This paper describes a sustainable structure to deliver the World Health Organization (WHO) endorsed group Interpersonal Psychotherapy (IPT-G) for Postpartum Adolescent (PPA) mothers living with HIV in Nairobi. It documents the process of mobilizing, training, and engaging Community Health Workers (CHWs) and Key Informants (health facility staff) involved in the Prevention of Mother-To-Child Transmission (PMTCT) in two Primary Health Care (PHC) facilities from informal settlements of Nairobi County. Mainly reporting experiences from the training process utilizing focused group discussions and in-depth interviews involving participants, IPT-G therapists and supervisors we present process findings and acceptability of our IPT-G implementation.

OBJECTIVE:Sublingual buprenorphine-naloxone and extended-release injection naltrexone are effective treatments, with distinct mechanisms, for opioid use disorder. The authors examined whether patients' demographic and clinical characteristics were associated with better response to one medication or the other. METHODS:In a multisite 24-week randomized comparative-effectiveness trial of assignment to buprenorphine-naloxone (N=287) compared with extended-release naltrexone (N=283) comprising inpatients planning to initiate medication treatment for opioid use disorder, 50 demographic and clinical characteristics were examined as moderators of the effect of medication assignment on relapse to regular opioid use and failure to initiate medication. Moderator-by-medication interactions were estimated using logistic regression with correction for multiple testing. RESULTS:In the intent-to-treat sample, patients who reported being homeless had a lower relapse rate if they were assigned to receive extended-release naltrexone (51.6%) compared with buprenorphine-naloxone (70.4%) (odds ratio=0.45, 95% CI=0.22, 0.90); patients who were not homeless had a higher relapse rate if they were assigned to extended-release naltrexone (70.9%) compared with buprenorphine-naloxone (53.1%) (odds ratio=2.15, 95% CI=1.44, 3.21). In the subsample of patients who initiated medication, the interaction was not significant, with a similar pattern of lower relapse with extended-release naltrexone (41.4%) compared with buprenorphine (68.6%) among homeless patients (odds ratio=0.32, 95% CI=0.15, 0.68) but less difference among those not homeless (extended-release naltrexone, 57.2%; buprenorphine, 52.0%; odds ratio=1.24, 95% CI=0.80, 1.90). For failure to initiate medication, moderators were stated preference for medication (failure was less likely if the patient was assigned to the medication preferred), parole and probation status (fewer failures with extended-release naltrexone for those on parole or probation), and presence of pain and timing of randomization (more failure with extended-release naltrexone for patients endorsing moderate to severe pain and randomized early while still undergoing medically managed withdrawal). CONCLUSIONS:Among patients with opioid use disorder admitted to inpatient treatment, homelessness, parole and probation status, medication preference, and factors likely to influence tolerability of medication initiation may be important in matching patients to buprenorphine or extended-release naltrexone.

Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multicollinearity in our serum cytokines, chemokines, and high-throughput platform datasets used to phenotype WTC-disease. To address this concern, we used automated, machine-learning, high-dimensional data pruning, and validated identified biomarkers. The parent cohort consisted of male, never-smoking firefighters with WTC-LI (FEV1, %Pred< lower limit of normal (LLN); n = 100) and controls (n = 127) and had their biomarkers assessed. Cases and controls (n = 15/group) underwent untargeted metabolomics, then feature selection performed on metabolites, cytokines, chemokines, and clinical data. Cytokines, chemokines, and clinical biomarkers were validated in the non-overlapping parent-cohort via binary logistic regression with 5-fold cross validation. Random forests of metabolites (n = 580), clinical biomarkers (n = 5), and previously assayed cytokines, chemokines (n = 106) identified that the top 5% of biomarkers important to class separation included pigment epithelium-derived factor (PEDF), macrophage derived chemokine (MDC), systolic blood pressure, macrophage inflammatory protein-4 (MIP-4), growth-regulated oncogene protein (GRO), monocyte chemoattractant protein-1 (MCP-1), apolipoprotein-AII (Apo-AII), cell membrane metabolites (sphingolipids, phospholipids), and branched-chain amino acids. Validated models via confounder-adjusted (age on 9/11, BMI, exposure, and pre-9/11 FEV1, %Pred) binary logistic regression had AUCROC [0.90(0.84-0.96)]. Decreased PEDF and MIP-4, and increased Apo-AII were associated with increased odds of WTC-LI. Increased GRO, MCP-1, and simultaneously decreased MDC were associated with decreased odds of WTC-LI. In conclusion, automated data pruning identified novel WTC-LI biomarkers; performance was validated in an independent cohort. One biomarker-PEDF, an antiangiogenic agent-is a novel, predictive biomarker of particulate-matter-related lung disease. Other biomarkers-GRO, MCP-1, MDC, MIP-4-reveal immune cell involvement in WTC-LI pathogenesis. Findings of our automated biomarker identification warrant further investigation into these potential pharmacotherapy targets.

Income, education, and cumulative-risk indices likely obscure meaningful heterogeneity in the mechanisms through which poverty impacts child outcomes. This study draws from contemporary theory to specify multiple dimensions of poverty-related adversity and resources, with the aim of better capturing these nuances. Using data from the Family Life Project (N = 1,292), we leveraged moderated nonlinear factor analysis (Bauer, 2017) to establish group- and longitudinally invariant environmental measures from infancy to early adolescence. Results indicated three latent factors-material deprivation, psychosocial threat, and sociocognitive resources-were distinct from each other and from family income. Each was largely invariant across site, racial group, and development and showed convergent and discriminant relations with age-twelve criterion measures. Implications for ensuring socioculturally valid measurements of poverty are discussed.

This study examines whether changes in classroom quality predict within-child changes in achievement and behavioral problems in elementary school (ages spanning approximately 6-11 years old). Drawing on data from a longitudinal study of children in predominantly low-income, nonurban communities (n = 1,078), we relied on child fixed effects modeling, which controlled for stable factors that could bias the effects of classroom quality. In general, we found that changes in classroom quality had small and statistically nonsignificant effects on achievement and behavior. However, we found that moving into a high-quality classroom, particularly those rated as high in Classroom Organization, had positive effects on achievement and behavior for children with significant exposure to poverty in early life.

Left censoring in salivary bioscience data occurs when salivary analyte determinations fall below the lower limit of an assay's measurement range. Conventional statistical approaches for addressing censored values (i.e., recoding as missing, substituting or extrapolating values) may introduce systematic bias. While specialized censored data statistical approaches (i.e., Maximum Likelihood Estimation, Regression on Ordered Statistics, Kaplan-Meier, and general Tobit regression) are available, these methods are rarely implemented in biobehavioral studies that examine salivary biomeasures, and their application to salivary data analysis may be hindered by their sensitivity to skewed data distributions, outliers, and sample size. This study compares descriptive statistics, correlation coefficients, and regression parameter estimates generated via conventional and specialized censored data approaches using salivary C-reactive protein data. We assess differences in statistical estimates across approach and across two levels of censoring (9% and 15%) and examine the sensitivity of our results to sample size. Overall, findings were similar across conventional and censored data approaches, but the implementation of specialized censored data approaches was more efficient (i.e., required little manipulations to the raw analyte data) and appropriate. Based on our review of the findings, we outline preliminary recommendations to enable investigators to more efficiently and effectively reduce statistical bias when working with left-censored salivary biomeasure data.

We examined patterns of disclosure among youth living with HIV (YLHIV) in Kenya, and the association between self-disclosure and antiretroviral therapy adherence, stigma, depression, resilience, and social support. Of 96 YLHIV, 78% were female, 33% were ages 14-18, and 40% acquired HIV perinatally. Sixty-three (66%) YLHIV had self-disclosed their HIV status; 67% to family and 43% to non-family members. Older YLHIV were 75% more likely to have self-disclosed than those 14-18 years. Of the 68 either married or ever sexually active, 45 (66%) did not disclose to their partners. Those who had self-disclosed were more likely to report internalized stigma (50% vs. 21%, prevalence ratio [PR] 2.3, 1.1-4.6), experienced stigma (26% vs. 3%, PR 11.0, 1.4-86), and elevated depressive symptoms (57% vs. 30%, PR 1.8, 1.0-3.1). The association with stigma was stronger with self-disclosure to family than non-family. Support should be provided to YLHIV during self-disclosure to mitigate psychosocial harms.