Trajectories of Maternal and Paternal Psychological Distress After Fetal Diagnosis of Moderate-Severe Congenital Heart Disease

OBJECTIVE

The aim of this study was to compare trajectories of maternal and paternal psychological distress after prenatal diagnosis of fetal moderate-severe congenital heart disease (CHD), from pregnancy through early-mid infancy.

METHODS

Pregnant women who received a prenatal diagnosis of fetal moderate-severe CHD, and their partners, were enrolled in a prospective, longitudinal study. Symptoms of psychological distress were measured twice during pregnancy and twice after birth, using the Depression Anxiety Stress Scales (DASS-42). Patterns and predictors of psychological distress were examined using generalized hierarchical linear modeling.

RESULTS

Psychological distress was present in 42% (18/43) of mothers and 22% (8/36) of fathers at least once during the study. The rates of distress did not differ between mothers and fathers. There was also no change in probability of distress over time or difference in distress trajectories between mothers and fathers. However, individual trajectories demonstrated considerable variability in symptoms for both mothers and fathers. Predictors of psychological distress included low social support for mothers and a history of mental health conditions for fathers.

CONCLUSIONS

Parents who receive a prenatal diagnosis of fetal CHD commonly report symptoms of psychological distress from the time of diagnosis through early-mid infancy and display highly variable trajectories. These data suggest that early and repeated psychological screening is important once a fetal CHD diagnosis is made and that providing mental health and social support to parents may be an important component of their ongoing care.

Association between Substance Misuse and Outcomes in Critically III Patients with Pneumonia

Rationale: In patients with pneumonia requiring intensive care unit (ICU) admission, alcohol misuse is associated with increased mortality, but the relationship between other commonly misused substances and mortality is unknown. Objectives: We sought to establish whether alcohol misuse, cannabis misuse, opioid misuse, stimulant misuse, or misuse of more than one of these substances was associated with differences in mortality among ICU patients with pneumonia. Methods: This was a retrospective cohort study of hospitals participating in the Premier Healthcare Database between 2010 and 2017. Patients were included if they had a primary or secondary diagnosis of pneumonia and received antibiotics or antivirals within 1 day of admission. Substance misuse related to alcohol, cannabis, stimulants, and opioids, or more than one substance, were identified from the International Classification of Diseases (Ninth and Tenth Editions). The associations between substance misuse and in-hospital mortality were the primary outcomes of interest. Secondary outcomes included the measured associations between substance misuse disorders and mechanical ventilation, as well as vasopressor and continuous paralytic administration. Analyses were conducted with multivariable mixed-effects logistic regression modeling adjusting for age, comorbidities, and hospital characteristics. Results: A total of 167,095 ICU patients met inclusion criteria for pneumonia. Misuse of alcohol was present in 5.0%, cannabis misuse in 0.6%, opioid misuse in 1.5%, stimulant misuse in 0.6%, and misuse of more than one substance in 1.2%. No evidence of substance misuse was found in 91.1% of patients. In unadjusted analyses, alcohol misuse was associated with increased in-hospital mortality (odds ratio [OR], 1.12; 95% confidence interval [CI], 1.06-1.19), whereas opioid misuse was associated with decreased in-hospital mortality (OR, 0.46; 95% CI, 0.39-0.53) compared with no substance misuse. These findings persisted in adjusted analyses. Although cannabis, stimulant, and more than one substance misuse (a majority of which were alcohol in combination with another substance) were associated with lower odds for in-hospital mortality in unadjusted analyses, these relationships were not consistently present after adjustment. Conclusions: In this study of ICU patients hospitalized with severe pneumonia, substance misuse subtypes were associated with different effects on mortality. Although administrative data can provide epidemiologic insight regarding substance misuse and pneumonia outcomes, biases inherent to these data should be considered when interpreting results.

Adverse childhood experiences and hormonal contraception: Interactive impact on sexual reward function

The current literature suggests that some women are uniquely vulnerable to negative effects of hormonal contraception (HC) on affective processes. However, little data exists as to which factors contribute to such vulnerability. The present study evaluated the impact of prepubertal adverse childhood experiences (ACEs) on reward processing in women taking HC (N = 541) compared to naturally cycling women (N = 488). Participants completed an online survey assessing current and past HC use and exposure to 10 different adverse childhood experiences (ACEs) before puberty (ACE Questionnaire), with participants categorized into groups of low (0-1) versus high (≥2) prepubertal ACE exposure. Participants then completed a reward task rating their expected and experienced valence for images that were either erotic, pleasant (non-erotic), or neutral. Significant interactions emerged between prepubertal ACE exposure and HC use on expected (p = 0.028) and experienced (p = 0.025) valence ratings of erotic images but not pleasant or neutral images. Importantly, follow-up analyses considering whether women experienced HC-induced decreases in sexual desire informed the significant interaction for expected valence ratings of erotic images. For current HC users, prepubertal ACEs interacted with HC-induced decreased sexual desire (p = 0.008), such that high ACE women reporting decreased sexual desire on HC showed substantially decreased ratings for anticipated erotic images compared to both high prepubertal ACE women without decreased sexual desire (p < 0.001) and low prepubertal ACE women also reporting decreased sexual desire (p = 0.010). The interaction was not significant in naturally cycling women reporting previous HC use, suggesting that current HC use could be impacting anticipatory reward processing of sexual stimuli among certain women (e.g., high prepubertal ACE women reporting HC-induced decreases in sexual desire). The study provides rationale for future randomized, controlled trials to account for prepubertal ACE exposure to promote contraceptive selection informed by behavioral evidence.

Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success. However, such methodical serial testing may be too slow, especially in environments with noisy feedback. Alternatively, the underlying learning process may involve implicit reinforcement learning that learns about many possibilities in parallel. Here we designed a multi-dimensional probabilistic active-learning task tailored to study how people learn to solve such complex problems. Participants configured three-dimensional stimuli by selecting features for each dimension and received probabilistic reward feedback. We manipulated task complexity by changing how many feature dimensions were relevant to maximizing reward, as well as whether this information was provided to the participants. To investigate how participants learn the task, we examined models of serial hypothesis testing, feature-based reinforcement learning, and combinations of the two strategies. Model comparison revealed evidence for hypothesis testing that relies on reinforcement-learning when selecting what hypothesis to test. The extent to which participants engaged in hypothesis testing depended on the instructed task complexity: people tended to serially test hypotheses when instructed that there were fewer relevant dimensions, and relied more on gradual and parallel learning of feature values when the task was more complex. This demonstrates a strategic use of task information to balance the costs and benefits of the two methods of learning.

How Smokers of Menthol Cigarettes and Flavored Cigars Might Respond to FDA's Proposed Bans

INTRODUCTION

A ban on menthol cigarettes and flavored cigars may reduce smoking and tobacco-related disparities.

AIMS AND METHODS

We aimed to examine the response of current smokers to a hypothetical ban on menthol cigarettes and flavored cigars. Current smokers were recruited online and reported the alternative products that they may switch to under a hypothetical ban, if they would try to obtain the banned products from illicit channels, and their support to the ban.

RESULTS

51% of current smokers would use nonflavored cigarettes and cigars as alternatives, 45% would switch to flavored heated tobacco products or e-cigarettes or quit smoking. 17% would try to obtain the banned flavored products from illicit markets. A majority of menthol only smokers opposed the ban. Daily smokers would be more likely to switch to nonflavored smoking, to try illicit market products, and were less supportive of the ban. Black smokers would be less likely to switch to nonflavored smoking and were more supportive of the ban. Smokers who used menthol cigarettes only would be more likely to switch to nonflavored smoking, less likely to try illicit market sellers, and were the least supportive of the ban.

CONCLUSIONS

In response to a ban of all added flavors for cigarettes or cigars, nearly half of the current smokers would quit smoking, largely by switching to nonsmoking products. However, smokers with more chronic use and those who used only menthol cigarettes would be more likely to switch to nonflavored smoking, diminishing the harm reduction potential. The ban may decrease the relatively higher prevalence of menthol cigarette smoking among Blacks compared with other groups.

IMPLICATIONS

A ban on the sale of menthol cigarettes and flavored cigars may decrease the prevalence of smoking because some current smokers may quit smoking and switch to nonsmoking products. However, smokers with more chronic use and those who used menthol cigarettes only were more likely to switch to nonflavored cigarettes or cigars, diminishing the harm reduction potential of the ban. Black smokers would be more likely to switch to products other than cigarettes and cigars thus decreasing their relatively higher prevalence of smoking compared with other groups.

A tutorial comparing different covariate balancing methods with an application evaluating the causal effects of substance use treatment programs for adolescents

Randomized controlled trials are the gold standard for measuring causal effects. However, they are often not always feasible, and causal treatment effects must be estimated from observational data. Observational studies do not allow robust conclusions about causal relationships unless statistical techniques account for the imbalance of pretreatment confounders across groups and key assumptions hold. Propensity score and balance weighting (PSBW) are useful techniques that aim to reduce the observed imbalances between treatment groups by weighting the groups to look alike on the observed confounders. Notably, there are many methods available to estimate PSBW. However, it is unclear a priori which will achieve the best trade-off between covariate balance and effective sample size for a given application. Moreover, it is critical to assess the validity of key assumptions required for robust estimation of the needed treatment effects, including the overlap and no unmeasured confounding assumptions. We present a step-by-step guide to the use of PSBW for estimation of causal treatment effects that includes steps on how to evaluate overlap before the analysis, obtain estimates of PSBW using multiple methods and select the optimal one, check for covariate balance on multiple metrics, and assess sensitivity of findings (both the estimated treatment effect and statistical significance) to unobserved confounding. We illustrate the key steps using a case study examining the relative effectiveness of substance use treatment programs and provide a user-friendly Shiny application that can implement the proposed steps for any application with binary treatments.

The Usual, Racialized, Suspects: The Consequence of Police Contacts with Black and White Youth on Adult Arrest

Research on race and policing indicates that Black Americans experience a greater frequency of police contacts, discretionary stops, and police harassment when stops occur. Yet, studies examining the long-term consequences of police contact with young people have not examined whether criminal justice consequences of police contact differ by race. We address this issue by examining whether police encounters with children and adolescents predict arrest in young adulthood and if these effects are the same for Black and White individuals. The paper uses longitudinal survey data from 331 Black and White respondents enrolled in the Seattle Public School District as eighth graders in 2001 and 2002. Our findings indicate that police encounters in childhood increase the risk of arrest in young adulthood for Black but not White respondents. Black respondents who experience contact with the police by the eighth grade have eleven times greater odds of being arrested when they are 20 years old than their White counterparts.

Studying the Utility of Using Genetics to Predict Smoking-Related Outcomes in a Population-Based Study and a Selected Cohort

INTRODUCTION

The purpose of this study is to examine the predictive utility of polygenic risk scores (PRSs) for smoking behaviors.

AIMS AND METHODS

Using summary statistics from the Sequencing Consortium of Alcohol and Nicotine use consortium, we generated PRSs of ever smoking, age of smoking initiation, cigarettes smoked per day, and smoking cessation for participants in the population-based Atherosclerosis Risk in Communities (ARIC) study (N = 8638), and the Collaborative Genetic Study of Nicotine Dependence (COGEND) (N = 1935). The outcomes were ever smoking, age of smoking initiation, heaviness of smoking, and smoking cessation.

RESULTS

In the European ancestry cohorts, each PRS was significantly associated with the corresponding smoking behavior outcome. In the ARIC cohort, the PRS z-score for ever smoking predicted smoking (odds ratio [OR]: 1.37; 95% confidence interval [CI]: 1.31, 1.43); the PRS z-score for age of smoking initiation was associated with age of smoking initiation (OR: 0.87; 95% CI: 0.82, 0.92); the PRS z-score for cigarettes per day was associated with heavier smoking (OR: 1.17; 95% CI: 1.11, 1.25); and the PRS z-score for smoking cessation predicted successful cessation (OR: 1.24; 95% CI: 1.17, 1.32). In the African ancestry cohort, the PRSs did not predict smoking behaviors.

CONCLUSIONS

Smoking-related PRSs were associated with smoking-related behaviors in European ancestry populations. This improvement in prediction is greatest in the lowest and highest genetic risk categories. The lack of prediction in African ancestry populations highlights the urgent need to increase diversity in research so that scientific advances can be applied to populations other than those of European ancestry.

IMPLICATIONS

This study shows that including both genetic ancestry and PRSs in a single model increases the ability to predict smoking behaviors compared with the model including only demographic characteristics. This finding is observed for every smoking-related outcome. Even though adding genetics is more predictive, the demographics alone confer substantial and meaningful predictive power. However, with increasing work in PRSs, the predictive ability will continue to improve.

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups

OBJECTIVES

To assess fairness and bias of a previously validated machine learning opioid misuse classifier.

MATERIALS & METHODS

Two experiments were conducted with the classifier's original (n = 1000) and external validation (n = 53 974) datasets from 2 health systems. Bias was assessed via testing for differences in type II error rates across racial/ethnic subgroups (Black, Hispanic/Latinx, White, Other) using bootstrapped 95% confidence intervals. A local surrogate model was estimated to interpret the classifier's predictions by race and averaged globally from the datasets. Subgroup analyses and post-hoc recalibrations were conducted to attempt to mitigate biased metrics.

RESULTS

We identified bias in the false negative rate (FNR = 0.32) of the Black subgroup compared to the FNR (0.17) of the White subgroup. Top features included "heroin" and "substance abuse" across subgroups. Post-hoc recalibrations eliminated bias in FNR with minimal changes in other subgroup error metrics. The Black FNR subgroup had higher risk scores for readmission and mortality than the White FNR subgroup, and a higher mortality risk score than the Black true positive subgroup (P < .05).

DISCUSSION

The Black FNR subgroup had the greatest severity of disease and risk for poor outcomes. Similar features were present between subgroups for predicting opioid misuse, but inequities were present. Post-hoc mitigation techniques mitigated bias in type II error rate without creating substantial type I error rates. From model design through deployment, bias and data disadvantages should be systematically addressed.

CONCLUSION

Standardized, transparent bias assessments are needed to improve trustworthiness in clinical machine learning models.

Robust, flexible, and scalable tests for Hardy-Weinberg equilibrium across diverse ancestries

Traditional Hardy-Weinberg equilibrium (HWE) tests (the χ2 test and the exact test) have long been used as a metric for evaluating genotype quality, as technical artifacts leading to incorrect genotype calls often can be identified as deviations from HWE. However, in data sets composed of individuals from diverse ancestries, HWE can be violated even without genotyping error, complicating the use of HWE testing to assess genotype data quality. In this manuscript, we present the Robust Unified Test for HWE (RUTH) to test for HWE while accounting for population structure and genotype uncertainty, and to evaluate the impact of population heterogeneity and genotype uncertainty on the standard HWE tests and alternative methods using simulated and real sequence data sets. Our results demonstrate that ignoring population structure or genotype uncertainty in HWE tests can inflate false-positive rates by many orders of magnitude. Our evaluations demonstrate different tradeoffs between false positives and statistical power across the methods, with RUTH consistently among the best across all evaluations. RUTH is implemented as a practical and scalable software tool to rapidly perform HWE tests across millions of markers and hundreds of thousands of individuals while supporting standard VCF/BCF formats. RUTH is publicly available at https://www.github.com/statgen/ruth.

Do Young Adults Attend to Health Warnings in the First IQOS Advertisement in the U.S.? An Eye-Tracking Approach

INTRODUCTION

In October 2019, a heated tobacco product (HTP) IQOS debuted in the United States. This study examined young adults' attention and cognitions in response to an IQOS ad that carried two mandated textual health warnings (Surgeon General's warning and nicotine warning), and how their vaping and smoking status may interact with attention patterns to affect attitude and intention to use IQOS.

METHODS

In November 2019, college students (N = 164) viewed IQOS' first U.S. magazine ad and two distractor ads. Viewing patterns were recorded with eye-tracking. Masked recall and aided recognition, attitude and intention towards IQOS use were later assessed with self-report. Ordinary Least Squares (OLS) regressions and moderated mediation analyses examined the associations between visual attention and viewers' cognitions about IQOS use.

RESULTS

Promotional content attracted significantly more attention compared to the warnings. Attention to the Surgeon General's warning but not to the nicotine warning was associated with recall and recognition of the warning's content. For ever-vapers, greater attention allocation to the promotional content in the IQOS ad was associated with more favorable attitude toward IQOS use, which was in turn positively associated with intention to use IQOS. Attention allocation to the warnings did not affect attitude or intentions, regardless of tobacco use status.

CONCLUSIONS

The results revealed the effects of IQOS promotional content overshadowed the two health warnings in influencing young people's attitude and intention to use IQOS. Young adults who vaped were more vulnerable to HTP advertising with respect to future use and vaping may be a gateway to HTP use.

IMPLICATIONS

This is the first eye-tracking study examining attention and cognitions associated with the new IQOS ad exposure among young adults. Promotional content in the ad attracted significantly more attention than the two warnings combined. Attention to the Surgeon General's warning but not to the nicotine warning was associated with recall and recognition of the warning's content. Greater attention allocation to the promotional content led to a more favorable attitude toward IQOS use which was associated with increased intention to use IQOS for ever-vapers. However, greater attention allocation to the warnings did not affect attitude or intentions to use IQOS.

Beliefs about Perioperative Opioid and Alcohol Use among Elective Surgical Patients Who Report Unhealthy Drinking: A Qualitative Study

OBJECTIVES

Elective surgical patients with unhealthy alcohol use have unique pain management needs and addiction risk factors that are relevant to surgical preparation and recovery. This descriptive qualitative study sought to better understand patients' beliefs and behaviors related to opioid use, alcohol use, and pain management in the perioperative context.

DESIGN

We conducted individual semi-structured interviews between July 2017 and March 2018.

SETTING

A large Midwestern academic health system.

SUBJECTS

Participants were elective surgical patients meeting unhealthy alcohol use criteria, recruited from the health system's preoperative anesthesia clinic.

METHOD

Semi-structured interview guides explored beliefs and behaviors relating to alcohol and opioid use, health status, and surgical care. Interview recordings were transcribed and coded for thematic analysis.

RESULTS

Among 20 elective surgical patients (25% female), we identified three key themes regarding alcohol use, opioid use, and their co-use before and after surgery. First, desires and intentions to use opioids for postoperative pain management varied widely, even before opioids were prescribed. Second, some participants described alcohol as a preferred pain management strategy. Third, participants held a range of beliefs about the risks and benefits of alcohol and opioid co-use.

CONCLUSION

Appropriate assessment of beliefs and intentions regarding opioid and alcohol use could help identify patients most vulnerable to new opioid problems and unhealthy alcohol use in the context of perioperative surgical pain. These findings have important implications for perioperative pain management.

Reducing police occupational needle stick injury risk following an interactive training: the SHIELD cohort study in Mexico

Objective

At a time of unprecedented attention to the public health impact of policing, it is imperative to understand the role of occupational safety in shaping officer behaviours. We assessed the longitudinal impact of police training in a quasi-experimental hybrid type-1 trial to reduce syringe-related occupational risk, while realigning police practices with public health prevention among people who inject drugs (PWID).

Setting

Tijuana, Mexico.

Participants

Of 1806 Tijuana municipal police trainees, 771 reporting previous exposure to syringes were randomly selected for follow-up. All participants completed at least one follow-up visit; attrition at 24 months was 8%.

Intervention

Between 2015 and 2016, officers received a training intervention (Safety and Health Integration in the Enforcement of Laws on Drugs, SHIELD) bundling occupational needle stick injury (NSI) prevention with health promotion among PWID.

Outcome measures

Longitudinal analysis with generalised linear mixed models to evaluate training impact on occupational NSI risk via NSI incidence and prevalidated Syringe Threat and Injury Correlates (STIC) score. This composite indicator integrates five self-reported risky syringe-handling practices (eg, syringe confiscation, breaking) and was used as a proxy for NSI risk due to reporting bias and concerns about reliability of NSI incidence reports.

Results

No change in self-reported NSI incidence was observed, but significant reductions in risk (16.2% decrease in STIC score) occurred at 3 months, with a sustained decrease of 17.8% through 24 months, compared with pretraining (p<0.001). Police assignment (patrol vs administration) moderated the training effect (p=0.01). Younger age, male gender, lower rank and previous NSI were independently and significantly associated with higher NSI risk overtime, although all groups demonstrated significant reductions post-training.

Conclusions

SHIELD is the first intervention to be associated with significant sustained changes in police practices that pose risk for both occupational and the public’s health. Integrating occupational safety and public health education should inform other interventions to mitigate the community health detriments of policing behaviours.

Trial registration number

NCT02444403.

Effectiveness of interventions to reduce COVID-19 transmission in a large urban jail: a model-based analysis

OBJECTIVES

We aim to estimate the impact of various mitigation strategies on COVID-19 transmission in a US jail beyond those offered in national guidelines.

DESIGN

We developed a stochastic dynamic transmission model of COVID-19.

SETTING

One anonymous large urban US jail.

PARTICIPANTS

Several thousand staff and incarcerated individuals.

INTERVENTIONS

There were four intervention phases during the outbreak: the start of the outbreak, depopulation of the jail, increased proportion of people in single cells and asymptomatic testing. These interventions were implemented incrementally and in concert with one another.

PRIMARY AND SECONDARY OUTCOME MEASURES

The basic reproduction ratio, R0 , in each phase, as estimated using the next generation method. The fraction of new cases, hospitalisations and deaths averted by these interventions (along with the standard measures of sanitisation, masking and social distancing interventions).

RESULTS

For the first outbreak phase, the estimated R0 was 8.44 (95% credible interval (CrI): 5.00 to 13.10), and for the subsequent phases, R0,phase 2 =3.64 (95% CrI: 2.43 to 5.11), R0,phase 3 =1.72 (95% CrI: 1.40 to 2.12) and R0,phase 4 =0.58 (95% CrI: 0.43 to 0.75). In total, the jail's interventions prevented approximately 83% of projected cases, hospitalisations and deaths over 83 days.

CONCLUSIONS

Depopulation, single celling and asymptomatic testing within jails can be effective strategies to mitigate COVID-19 transmission in addition to standard public health measures. Decision makers should prioritise reductions in the jail population, single celling and testing asymptomatic populations as additional measures to manage COVID-19 within correctional settings.

Anxiety Sensitivity Moderates the Impact of COVID-19 Perceived Stress on Anxiety and Functional Impairment

Background

The COVID-19 pandemic has had a profound negative impact on mental health symptoms and daily life functioning across the United States and worldwide. Past work has revealed that perceived stress relates to poorer outcomes, however, little work to date has examined factors that may exacerbate these outcomes, and no work to date has examined this relation in terms of COVID-19. Anxiety sensitivity is a promising individual difference factor that has shown to be related to mental health and functional impairment. Anxiety Sensitivity is also a vulnerability factor related to heightened stress perception.

Method

Therefore, the current study sought to examine the potential moderating role of anxiety sensitivity in the relation between COVID-19 specific perceived stress and global anxiety symptom severity, anxious arousal symptom severity, and functional impairment among 563 adults (58.1% male; M _age  = 38.3 years; SD = 12.15).

Results

Results indicated a statistically significant interaction between COVID-19 perceived stress and anxiety sensitivity with global anxiety symptom severity, anxious arousal symptom severity, and functional impairment. Post-hoc analysis indicated that COVID-19 perceived stress was associated with an increased likelihood of clinically significant global anxiety symptom severity and anxious arousal symptom severity at higher levels of anxiety sensitivity.

Conclusions

The current study provides support for the role of anxiety sensitivity in identifying individuals at risk for clinically significant global anxiety symptom severity and anxious arousal symptom severity.

Measurement models for studying child executive functioning: Questioning the status quo

Despite widespread interest in the construct of executive functioning (EF), we currently lack definitive evidence regarding the best measurement model for representing the construct in substantive analyses. The most common practice is to represent EF ability as a reflective latent variable, with child performance on individual EF tasks as observed indicators. The current article critically evaluates the dominant use of reflective latent variable models in the child EF literature and compares them to composite models, a reasonable alternative. We review the literature suggesting that reflective latent variable models may not be the most appropriate representation of the construct of EF. Using preschool (Mage = 48.3 months) and first grade (Mage = 83.5 months) data from the Family Life Project (N = 920), we also investigate the implications of measurement model specification for the interpretation of study findings. Children in this sample varied in terms of sex (49% male), race (43% black) and socioeconomic status (76% low-income). Our findings show that the conclusions we draw from 2 substantive analyses differ depending on whether EF is modeled as a reflective latent variable versus a composite variable. We describe the implications of these findings for research on child EF and offer practical recommendations for producers and consumers of developmental research. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

More behavioral recommendations produce more change: A meta-analysis of efficacy of multibehavior recommendations to reduce nonmedical substance use

Death and morbidity associated with substance use have risen continuously over the last few decades, increasing the need for rigorous examination of promising programs. Interventions attempting to change multiple behaviors have been designed to address interconnected problems such as use of both alcohol and drugs. This meta-analysis aimed to examine the efficacy of multibehavior interventions to curb nonmedical substance use in relation to the theoretical relation among different substance use behaviors. Specifically, our synthesis aimed to estimate the optimal number of recommendations for intervention efficacy and evaluate the impact of different combinations of recommendations on intervention efficacy. A synthesis of multibehavior interventions addressing nonmedical substance use was conducted to measure behavioral changes between the pretest and the follow-up. These changes were then compared across different numbers of recommendations. Sixty-nine reports and 233 effect sizes (k of conditions = 155, n = 28,295) were included. A positive linear relation was found between the number of targeted behaviors and intervention efficacy, which was stronger for drug use than alcohol use. Furthermore, recommendations on drug use worked better when paired with recommendations targeting other behaviors, whereas recommendations on alcohol use worked more independently. Lastly, multibehavior interventions were especially efficacious when delivered by experts. Overall, our synthesis indicated that targeting multiple substances is beneficial for changing drug use outcomes, but less so for alcohol use outcomes. Therefore, in the current substance use epidemic, innovative multibehavior programs appear to hold promise, especially to combat nonmedical drug use. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The Natural History, Pathobiology, and Clinical Manifestations of SARS-CoV-2 Infections

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiological agent of coronavirus disease 2019 (COVID-19). SARS-CoV-2, is a positive-sense single-stranded RNA virus with epithelial cell and respiratory system proclivity. Like its predecessor, SARS-CoV, COVID-19 can lead to life-threatening disease. Due to wide geographic impact affecting an extremely high proportion of the world population it was defined by the World Health Organization as a global public health pandemic. The infection is known to readily spread from person-to-person. This occurs through liquid droplets by cough, sneeze, hand-to-mouth-to-eye contact and through contaminated hard surfaces. Close human proximity accelerates SARS-CoV-2 spread. COVID-19 is a systemic disease that can move beyond the lungs by blood-based dissemination to affect multiple organs. These organs include the kidney, liver, muscles, nervous system, and spleen. The primary cause of SARS-CoV-2 mortality is acute respiratory distress syndrome initiated by epithelial infection and alveolar macrophage activation in the lungs. The early cell-based portal for viral entry is through the angiotensin-converting enzyme 2 receptor. Viral origins are zoonotic with genomic linkages to the bat coronaviruses but without an identifiable intermediate animal reservoir. There are currently few therapeutic options, and while many are being tested, although none are effective in curtailing the death rates. There is no available vaccine yet. Intense global efforts have targeted research into a better understanding of the epidemiology, molecular biology, pharmacology, and pathobiology of SARS-CoV-2. These fields of study will provide the insights directed to curtailing this disease outbreak with intense international impact. Graphical Abstract.

Smoking Is Associated With COVID-19 Progression: A Meta-analysis

INTRODUCTION

Smoking depresses pulmonary immune function and is a risk factor contracting other infectious diseases and more serious outcomes among people who become infected. This paper presents a meta-analysis of the association between smoking and progression of the infectious disease COVID-19.

METHODS

PubMed was searched on April 28, 2020, with search terms "smoking", "smoker*", "characteristics", "risk factors", "outcomes", and "COVID-19", "COVID", "coronavirus", "sar cov-2", "sar cov 2". Studies reporting smoking behavior of COVID-19 patients and progression of disease were selected for the final analysis. The study outcome was progression of COVID-19 among people who already had the disease. A random effects meta-analysis was applied.

RESULTS

We identified 19 peer-reviewed papers with a total of 11,590 COVID-19 patients, 2,133 (18.4%) with severe disease and 731 (6.3%) with a history of smoking. A total of 218 patients with a history of smoking (29.8%) experienced disease progression, compared with 17.6% of non-smoking patients. The meta-analysis showed a significant association between smoking and progression of COVID-19 (OR 1.91, 95% confidence interval [CI] 1.42-2.59, p = 0.001). Limitations in the 19 papers suggest that the actual risk of smoking may be higher.

CONCLUSIONS

Smoking is a risk factor for progression of COVID-19, with smokers having higher odds of COVID-19 progression than never smokers.

IMPLICATIONS

Physicians and public health professionals should collect data on smoking as part of clinical management and add smoking cessation to the list of practices to blunt the COVID-19 pandemic.

Parental Anger and Trajectories of Emotional Well-Being from Adolescence to Young Adulthood

This study assesses the relationship of parental anger on children's anger and self-derogation from adolescence to young adulthood. We examine a life-course perspective and incorporate theories of emotion regulation and self-referent behavior. Using structural equation models and hierarchical growth curve models with the Kaplan Longitudinal and Multigenerational data, the results indicate that parental anger leads to anger in adolescence, supporting theories of learning through modeling in adolescence. In young adulthood, as predicted by self-referent behavior theory, parental anger contributes to increases in self-derogation. Interestingly, maternal anger, but not paternal anger, is correlated with child's anger and self-derogation.

Individual variations of the human corticospinal tract and its hand-related motor fibers using diffusion MRI tractography

The corticospinal tract (CST) is one of the most well studied tracts in human neuroanatomy. Its clinical significance can be demonstrated in many notable traumatic conditions and diseases such as stroke, spinal cord injury (SCI) or amyotrophic lateral sclerosis (ALS). With the advent of diffusion MRI and tractography the computational representation of the human CST in a 3D model became available. However, the representation of the entire CST and, specifically, the hand motor area has remained elusive. In this paper we propose a novel method, using manually drawn ROIs based on robustly identifiable neuroanatomic structures to delineate the entire CST and isolate its hand motor representation as well as to estimate their variability and generate a database of their volume, length and biophysical parameters. Using 37 healthy human subjects we performed a qualitative and quantitative analysis of the CST and the hand-related motor fiber tracts (HMFTs). Finally, we have created variability heat maps from 37 subjects for both the aforementioned tracts, which could be utilized as a reference for future studies with clinical focus to explore neuropathology in both trauma and disease states.

The Unaddressed Needs of Alcohol-Using Couples on Antiretroviral Therapy in Malawi: Formative Research on Multilevel Interventions

Alcohol use among HIV-positive individuals in sub-Saharan Africa directly impacts adherence to antiretroviral therapy and HIV outcomes. Few studies have examined approaches to reduce alcohol use among HIV-affected couples, despite evidence that alcohol use is a couple-level concern. We conducted a qualitative study with 23 alcohol-using couples to identify multilevel barriers and facilitators of alcohol use, and potential intervention options with couples. Data were analyzed at individual and dyadic levels using framework analysis. All couples were married and had at least one partner on ART. Men were the primary alcohol drinkers with few women reporting alcohol use. Most women tried to persuade their partners to reduce their alcohol intake and when unsuccessful, enlisted help from relatives and HIV care providers. Effective couple negotiation around men's alcohol use was constrained by negative peer influence and men's desire for friendship to cope with life stressors. Women were primarily concerned about the expense of alcohol and described how alcohol prevented the family from meeting basic needs and investing in the future. Alcohol use was described as a major barrier to ART adherence, but was also viewed as the cause of couple and family violence, extramarital partnerships, food insecurity, and poverty. We conclude that multilevel interventions based on couples' needs and preferences are urgently needed. Couple-based intervention approaches could include provider-led alcohol counseling with couples, alcohol reduction support groups for couples, couples' counseling to bolster couple communication and problem-solving around alcohol, and economic-strengthening interventions for couples.

Spatial distribution and characteristics of HIV clusters in Ethiopia

OBJECTIVES

Ethiopia's HIV prevalence has decreased by 75% in the past 20 years with the implementation of antiretroviral therapy, but HIV transmission continues in high-risk clusters. Identifying the spatial and temporal trends, and epidemiologic correlates, of these clusters can lead to targeted interventions.

METHODS

We used biomarker and survey data from the 2005, 2011 and 2016 Ethiopia Demographic and Health Surveys (DHS). The spatial-temporal distribution of HIV was estimated using the Kulldorff spatial scan statistic, a likelihood-based method for determining clustering. Significant clusters (P < 0.05) were identified and compared based on HIV risk factors to non-cluster areas.

RESULTS

In 2005, 2011 and 2016, respectively, 219, 568 and 408 individuals tested positive for HIV. Four HIV clusters were identified, representing 17% of the total population and 43% of all HIV cases. The clusters were centred around Addis Ababa (1), Afar (2), Dire Dawa (3) and Gambella (4). Cluster 1 had higher rates of unsafe injections (4.9% vs. 2.2%, P < 0.001) and transactional sex (6.0% vs. 1.6%, P < 0.001) than non-cluster regions, but more male circumcision (98.5% vs. 91.3%, P < 0.001). Cluster 2 had higher levels of transactional sex (4.9% vs. 1.6%, P < 0.01), but lower levels of unsafe injections (0.8% vs. 2.2%, P < 0.01). Cluster 3 had fewer individuals with> 1 sexual partner (0% vs. 1.7%, P < 0.001) and more male circumcision (100% vs. 91.3%, P < 0.001). Cluster 4 had less male circumcision (59.1% vs. 91.3%, P < 0.01).

CONCLUSIONS

In Ethiopia, geographic HIV clusters are driven by different risk factors. Decreasing the HIV burden requires targeted interventions.