Publications by authors named "Walter Roberts"

Background: Despite being the leading cause of death for women in the United States, cardiovascular disease (CVD) in this population remains underrecognized, understudied, underdiagnosed, and undertreated. CVD risk is particularly pronounced in postmenopausal women. The current study evaluates the effectiveness of an mHealth cardiovascular risk self-management program in improving blood pressure (BP) control among women, especially during and after the onset of menopause.

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In clinical settings targeting alcohol use disorder (AUD), it is often unclear whether a treatment option may best suit a patient's clinical needs. Clinicians providing AUD treatment are often required to predict patients' responses to guide treatment decisions. Recently, machine learning approaches have been used as tools in precision medicine to help guide these clinical decisions.

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Purpose Of The Review: Women experience worse alcohol-related health consequences compared to men, including greater risk and susceptibility to the neurotoxic effects of alcohol. There is a critical need to identify underlying neurobiological mechanisms underlying sex differences in alcohol use disorder (AUD) phenotypes to better inform individualized treatment options. This report aimed to systematically review existing original literature that examined sex differences in white matter tract integrity in individuals with heavy drinking/AUD using diffusion magnetic resonance imaging (dMRI) and provide recommendations for future research.

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Introduction: Dopamine is involved in reward processing and plays a critical role in the development and progression of alcohol use disorder (AUD). However, little is known about the effect of sex on the relationship between dopamine and alcohol use/AUD. There is a critical need to identify the neurobiological mechanisms that contribute to sex differences in AUD to inform treatment approaches.

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Objectives: This study evaluated the impact of a mobile health (mHealth) cardiovascular disease (CVD) self-management program on medical spending, healthcare utilization, and clinical outcomes.

Methods: We conducted a retrospective cohort, pre-post observational analysis of medical claims data from February 2018 to September 2023. Participants enrolled in the mHealth CVD self-management program were compared with matched nonparticipants to assess changes in medical spending and utilization, using a difference-in-differences (DiD) approach.

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Psychiatric disorders are influenced by genetic and environmental factors. However, their study is hindered by limitations on precisely characterizing human behavior. New technologies such as wearable sensors show promise in surmounting these limitations in that they measure heterogeneous behavior in a quantitative and unbiased fashion.

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Background: Alcohol and cannabis are commonly used together by young adults. With frequent pairings, use of one substance may become a conditioned cue for use of a second, commonly co-used substance. Although this has been examined for alcohol and cannabis in laboratory conditions and with remote monitoring, no research has examined whether pharmacologically induced cross-substance craving occurs in naturalistic conditions.

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Background: Poor physical fitness, stress, and fatigue are factors impacting military readiness, national security, and economic burden for the United States Department of Defense. Improved accuracy of wearable biosensors and remote field biologic sample collection strategies could make critical contributions to understanding how physical readiness and occupational stressors result in on-the-job and environment-related injury, sleep impairments, diagnosis of mental health disorders, and reductions in performance in war-fighters.

Objective: This study aimed to evaluate the feasibility and acceptability of intensive biomarker and biometric data collection to understand physiological and psychological stress in Army Reserved Officer Training Corps cadets before, during, and after a 96-hour field training exercise (FTX).

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Article Synopsis
  • Psychiatric disorders are influenced by both genetic and environmental factors, but studying them is challenging due to limitations in measuring human behavior; this creates a need for new technologies.* -
  • Wearable devices offer a cost-effective and non-invasive way to track physiological changes over time, and they can help analyze data from adolescents with psychiatric disorders using AI models to classify risks and identify important physiological processes.* -
  • By integrating wearable data with genetic information, researchers found 29 significant genetic loci and 52 psychiatric-associated genes, showing that continuous data from wearables provides a more precise understanding of psychiatric disorders than traditional diagnostic labels.*
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The purpose of this study was to systematically review the types of stigmatized attributes that have been assessed and the causes and consequences of stigma for individuals involved in the criminal legal system. PubMed, GoogleScholar, and PsycInfo databases were searched to identify studies for inclusion through March 2021. Eligible studies were peer-reviewed, quantitative, and assessed stigma from the perspective of the person involved in the criminal legal system.

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Digital and remote technologies (DRT) are increasingly being used in scientific investigations to objectively measure human behavior during day-to-day activities. Using these devices, psychologists and other behavioral scientists can investigate health risk behaviors, such as drug and alcohol use, by closely examining the causes and consequences of monitored behaviors as they occur naturalistically. There are, however, complex ethical issues that emerge when using DRT methodologies in research with people who use substances.

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Introduction: Sex differences exist in tobacco smoking. Women have greater difficulty quitting smoking than men. Tobacco smoking is driven by the reinforcing effects of nicotine, the primary addictive component in cigarettes.

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Background: Previous studies have identified common trajectories of single type substance use over the course of adolescence; however, no study to date has examined joint trajectories of cannabis and alcohol concurrent use. Given that expansion of legal cannabis has increased availability, it is important to understand patterns of concurrent use in adolescents and factors that place male and female youth at risk for harmful trajectories of concurrent use. The current study sought to identify joint trajectories of cannabis and alcohol use - and predictors of harmful use trajectories - among male and female adolescents.

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Background: Our group previously identified that females with AUD and females engaging in heavy or extreme binge drinking were more likely to report cancers and other medical conditions compared to their male counterparts. This analysis aimed to extend our previous findings to examine relationships between sex and consumption of alcohol by type on past year medical condition diagnoses.

Methods: Data from the U.

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Introduction: Tobacco smoking is a major public health burden. The mesocortical dopamine system-including the dorsolateral prefrontal cortex (dlPFC)-plays an important role in cognitive function. Dysregulated dopamine signaling in dlPFC is associated with cognitive deficits such as impairments in attention, learning, working memory, and inhibitory control.

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Childhood maltreatment is associated with risk for committing future violence, but the relationship between subgroups and biological sex is unknown. The relationship between adverse childhood experiences (ACEs), violence, and sex was examined using a nationally representative sample. Results from a latent class analysis suggested a four-class model (low adversity; moderate maltreatment with high household dysfunction; severe maltreatment with moderate household dysfunction; severe multi-type adversities).

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Purpose: Given the health consequences, perinatal substance use is a significant public health concern, especially as substance use rates increase among women; ongoing data regarding the rates of substance use across trimesters of pregnancy is needed.

Methods: The present study utilized cross-sectional population-based data from the National Survey of Drug Use and Health (NSDUH) between 2009 and 2019. We aimed to explore both licit and illicit substance use assessed within each trimester among women endorsing past-year substance use.

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Background: Accurate clinical prediction supports the effective treatment of alcohol use disorder (AUD) and other psychiatric disorders. Traditional statistical techniques have identified patient characteristics associated with treatment outcomes. However, less work has focused on systematically leveraging these associations to create optimal predictive models.

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Concurrent substance use disorder (SUD) and posttraumatic stress disorder (PTSD) occur at high rates and are typically associated with poor treatment outcomes in both sexes. However, women have a propensity to cope with increased negative affect via substance use in comparison to men; thus, it is important to elucidate the sex-specific bidirectional relationships between SUD and PTSD to improve our understanding of concurrent SUD/PTSD in men and women. Using data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-Wave 3;  = 36,309), the present study evaluated the impact of sex on the relationship between past-year SUDs (new, remitted, ongoing), including alcohol and drug use, and retrospective transitions in new absent and ongoing remitted diagnoses of PTSD.

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Background: Heavy alcohol use is associated with increased risk of alcohol-related health consequences. Alcohol consumption has increased in females in the last fifteen years and females are more likely to experience exacerbated health risks due to drinking. Our group identified that females with AUD were more likely to report respiratory conditions or cancers compared to their male counterparts.

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Objective: Pain is associated with increased risk for harmful substance use. Substance use also may increase levels of pain, suggesting that these two factors may reciprocally increase risk. The current study examined the reciprocal association between pain and substance use outcomes (i.

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Millions of consumer sport and fitness wearables (CSFWs) are used worldwide, and millions of datapoints are generated by each device. Moreover, these numbers are rapidly growing, and they contain a heterogeneity of devices, data types, and contexts for data collection. Companies and consumers would benefit from guiding standards on device quality and data formats.

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Background: Women experience greater health consequences of alcohol compared to their male counterparts. In recent years, rates of drinking and heavy alcohol use have increased in women while remaining relatively steady in men. Thus, our aim was to newly examine associations between sex, AUD, and the presence of medical conditions in a large nationally representative, cross-sectional dataset.

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Background: Rates of alcohol use disorder (AUD) have increased in women in the last decade. Women may be more likely to engage in alcohol use to regulate stress and negative affect compared to men. Findings from our group found that life event stress was more strongly associated with new AUD in women vs.

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