scholarly journals The Prevalence and Negative Impacts of Substance Use Disorders among People with HIV in the United States: A Real-Time Delphi Survey of Key Stakeholders

2021 ◽  
Author(s):  
Bryan R. Garner ◽  
Heather J. Gotham ◽  
Hannah K. Knudsen ◽  
Brittany A. Zulkiewicz ◽  
Stephen J. Tueller ◽  
...  
Keyword(s):  
Substance Use ◽  
Real Time ◽  
Substance Use Disorders ◽  
Negative Impact ◽  
Population Level ◽  
The United States ◽  
Hiv Care ◽  
Individual Level ◽  
Negative Impacts ◽  
The U.S

AbstractAlthough HIV and substance use disorders (SUDs) constitute a health syndemic, no research to date has examined the perceived negative impacts of different SUDs for people with HIV (PWH). In May 2019, 643 stakeholders in the U.S., representing clients of AIDS service organizations (ASOs), ASO staff, and HIV/AIDS Planning Council members, participated in an innovative Stakeholder-Engaged Real-Time Delphi (SE-RTD) survey focused on the prevalence and individual-level negative impact of five SUDs for PWH. The SE-RTD method has advantages over conventional survey methods by efficiently sharing information, thereby reducing the likelihood that between-group differences are simply due to lack of information, knowledge, and/or understanding. The population-level negative impacts were calculated by weighting each SUD’s individual-level negative impact on indicators of the HIV Care Continuum and other important areas of life by the perceived prevalence of each SUD. Overall, we found these SUDs to have the greatest population-level negative impact scores (possible range 0–24): alcohol use disorder (population-level negative impact = 6.9; perceived prevalence = 41.9%), methamphetamine use disorder (population-level negative impact = 6.5; perceived prevalence = 3.2%), and opioid use disorder (population-level negative impact = 6.4; perceived prevalence = 34.6%). Beyond further demonstration of the need to better integrate SUD services within HIV settings, our findings may help inform how finite funding is allocated for addressing the HIV-SUD syndemic within the U.S. Based on our findings, such future efforts should prioritize the integration of evidence-based treatments that help address use disorders for alcohol, methamphetamine, and opioids.

scholarly journals Prevalence and Predictors of Substance Use Disorders Among HIV Care Enrollees in the United States

2016 ◽  
Vol 21 (4) ◽  
pp. 1138-1148 ◽  
Author(s):  
Bryan Hartzler ◽  
Julia C. Dombrowski ◽  
Heidi M. Crane ◽  
Joseph J. Eron ◽  
Elvin H. Geng ◽  
...  
Keyword(s):  
United States ◽  
Substance Use ◽  
Substance Use Disorders ◽  
The United States ◽  
Hiv Care

scholarly journals Influence of Substance Use Disorders on 2-Year HIV Care Retention in the United States

2017 ◽  
Vol 22 (3) ◽  
pp. 742-751 ◽  
Author(s):  
Bryan Hartzler ◽  
Julia C. Dombrowski ◽  
Jason R. Williams ◽  
Heidi M. Crane ◽  
Joseph J. Eron ◽  
...  
Keyword(s):  
United States ◽  
Substance Use ◽  
Substance Use Disorders ◽  
The United States ◽  
Hiv Care

scholarly journals Asymmetric dynamics between uncertainty and unemployment flows in the United States

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ali Ahmed ◽  
Mark Granberg ◽  
Victor Troster ◽  
Gazi Salah Uddin
Keyword(s):  
United States ◽  
Business Cycle ◽  
Negative Impact ◽  
The United States ◽  
Large Uncertainty ◽  
Monthly Data ◽  
Uncertainty Measures ◽  
Linear And Nonlinear ◽  
The Business Cycle ◽  
The U.S

AbstractThis paper examines how different uncertainty measures affect the unemployment level, inflow, and outflow in the U.S. across all states of the business cycle. We employ linear and nonlinear causality-in-quantile tests to capture a complete picture of the effect of uncertainty on U.S. unemployment. To verify whether there are any common effects across different uncertainty measures, we use monthly data on four uncertainty measures and on U.S. unemployment from January 1997 to August 2018. Our results corroborate the general predictions from a search and matching framework of how uncertainty affects unemployment and its flows. Fluctuations in uncertainty generate increases (upper-quantile changes) in the unemployment level and in the inflow. Conversely, shocks to uncertainty have a negative impact on U.S. unemployment outflow. Therefore, the effect of uncertainty is asymmetric depending on the states (quantiles) of U.S. unemployment and on the adopted unemployment measure. Our findings suggest state-contingent policies to stabilize the unemployment level when large uncertainty shocks occur.

scholarly journals Examining social determinants by locale to inform community linkages

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Davis
Keyword(s):  
Social Determinants ◽  
Low Income ◽  
Negative Impact ◽  
Rank Order ◽  
Disabled Persons ◽  
Behavioral Risk ◽  
Exploratory Research ◽  
Frequency Distributions ◽  
Individual Level ◽  
Negative Impacts

Abstract Achieving a long-lasting impact on health outcomes requires focus not just on patient care, but also on community approaches aimed at improving population health through addressing gaps in Social Determinants of Health (SDOH). SDOH have been found to disproportionately affect those in low-income brackets and the disabled to varying degrees based on locale. The purpose of this exploratory research was to determine 1) which SDOH have the greatest negative impact on disabled and elderly populations within four targeted states (Iowa, Ohio, Minnesota, Wisconsin) and 2) if there is a difference in negative SDOH impact between metro and non-metro locales. Individual-level data were obtained from disabled persons aged 65 years or older who responded to the Centers for Disease Control and Prevention's 2017 Behavioral Risk Factor Surveillance System (BRFSS) survey. Utilizing these data, frequency distributions were obtained using SPSS. Rank order variation in SDOH was observed among four Midwestern states and between metro vs. non-metro geographic regions. Frequency distributions assisted in identifying the greatest negative impacting SDOH on elderly disabled populations. An examination of the rank order tables allowed the investigator to accurately assess the rank of negative impacts. There were variabilities in responses to questions with moving two or more times within 12 months having the lowest negative impact. When regrouped based upon SDOH negative impacts, were you able to pay your bills was the most frequent SDOH across all states. Feeling unsafe or extremely unsafe in your neighborhood was the highest negatively impacted SDOH within states. Cited determinants in three categories were highest in Ohio. Ohio also had the highest proportion of negatively impacted SDOH across all states. No money for balanced meals was a close second SDOH across states. Key messages Social Determinants Impacting Elderly Disabled. Impact of Social Determinants by Geography.

scholarly journals Implementation and Evaluation of a Text Message–Based Addiction Counseling Program (Text4Hope-Addiction Support): Protocol for a Questionnaire Study

10.2196/22047 ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. e22047
Author(s):  
Vincent Israel Opoku Agyapong ◽  
Marianne Hrabok ◽  
Wesley Vuong ◽  
April Gusnowski ◽  
Reham Shalaby ◽  
...  
Keyword(s):  
Substance Use ◽  
Depressive Symptoms ◽  
Substance Use Disorders ◽  
User Satisfaction ◽  
Text Messaging ◽  
Addiction Treatment ◽  
Population Level ◽  
Text Messages ◽  
Anxiety And Depression ◽  
Demographic Correlates

Background With the emergence of the COVID-19 pandemic, providing counseling to people with drug or alcohol addiction while maintaining physical distance has been challenging. This protocol describes the use of text messaging (as used in the Text4Hope-Addiction Support program) as a convenient, evidence-based, cost-effective, and accessible population-level mental health intervention with high user satisfaction proven in prior research. Objective The project goal is to implement a program of daily supportive text messaging (Text4Hope-Addiction Support) to reduce drug or alcohol cravings as well as anxiety and depression, typically associated with alcohol and substance use disorders. The aim of this study is to evaluate the prevalence of cravings, anxiety, and depressive symptoms; demographic correlates of the same; and the outcomes of the Text4Hope-Addiction Support intervention in mitigating cravings, anxiety, and depressive symptoms. Methods Self-administered, anonymous, online questionnaires will be used to assess cravings for the primary substance of addiction (Brief Substance Craving Scale), anxiety (Generalized Anxiety Disorder-7), and depressive symptoms (Patient Health Questionnaire-9). Data will be collected at baseline (onset of receiving text messages), program midpoint (6 weeks), and program end (12 weeks). Results As of October 2020, data collection is in progress; and it is expected to be completed by fall 2021. Data analysis will include parametric and nonparametric techniques, focusing on primary outcomes (ie, cravings, anxiety, and depressive symptoms) and metrics of use, including the number of subscribers and user satisfaction. Conclusions This Text4Hope-Addiction Support project will provide key information regarding the prevalence rates of cravings, anxiety, and depressive symptoms among persons with alcohol and substance use disorders; demographic correlates of cravings, anxiety, and depression; and outcome data related to this scalable population-level intervention. Information from this study will be valuable for addiction care practitioners; it will inform the policy and decision making regarding population-level addiction treatment and support during emergencies. International Registered Report Identifier (IRRID) DERR1-10.2196/22047

scholarly journals Opposite outcomes of coinfection at individual and population scales

2018 ◽  
Vol 115 (29) ◽  
pp. 7545-7550 ◽  
Author(s):  
Erin E. Gorsich ◽  
Rampal S. Etienne ◽  
Jan Medlock ◽  
Brianna R. Beechler ◽  
Johannie M. Spaan ◽  
...  
Keyword(s):  
Reproduction Number ◽  
Negative Impact ◽  
Scale Up ◽  
Population Level ◽  
Clear Understanding ◽  
African Buffalo ◽  
Global Public Health ◽  
Individual Level ◽  
Secondary Infections ◽  
The Individual

Coinfecting parasites and pathogens remain a leading challenge for global public health due to their consequences for individual-level infection risk and disease progression. However, a clear understanding of the population-level consequences of coinfection is lacking. Here, we constructed a model that includes three individual-level effects of coinfection: mortality, fecundity, and transmission. We used the model to investigate how these individual-level consequences of coinfection scale up to produce population-level infection patterns. To parameterize this model, we conducted a 4-y cohort study in African buffalo to estimate the individual-level effects of coinfection with two bacterial pathogens, bovine tuberculosis (bTB) and brucellosis, across a range of demographic and environmental contexts. At the individual level, our empirical results identified bTB as a risk factor for acquiring brucellosis, but we found no association between brucellosis and the risk of acquiring bTB. Both infections were associated with reductions in survival and neither infection was associated with reductions in fecundity. The model reproduced coinfection patterns in the data and predicted opposite impacts of coinfection at individual and population scales: Whereas bTB facilitated brucellosis infection at the individual level, our model predicted the presence of brucellosis to have a strong negative impact on bTB at the population level. In modeled populations where brucellosis was present, the endemic prevalence and basic reproduction number (R0) of bTB were lower than in populations without brucellosis. Therefore, these results provide a data-driven example of competition between coinfecting pathogens that occurs when one pathogen facilitates secondary infections at the individual level.

scholarly journals Seasonal Allergies and Psychiatric Disorders in the United States

2018 ◽  
Vol 15 (9) ◽  
pp. 1965 ◽  
Author(s):  
Hans Oh ◽  
Ai Koyanagi ◽  
Jordan DeVylder ◽  
Andrew Stickley
Keyword(s):  
Mental Health ◽  
United States ◽  
Eating Disorders ◽  
Substance Use ◽  
Psychiatric Disorders ◽  
Mood Disorders ◽  
Substance Use Disorders ◽  
Mental Health Problems ◽  
The United States ◽  
Seasonal Allergies

Seasonal allergies have been associated with mental health problems, though the evidence is still emergent, particularly in the United States. We analyzed data from the National Comorbidity Survey Replication and the National Latino and Asian American Survey (years 2001–2003). Multivariable logistic regression models were used to examine the relations between lifetime allergies and lifetime psychiatric disorders (each disorder in a separate model), adjusting for socio-demographic variables (including region of residence) and tobacco use. Analyses were also stratified to test for effect modification by race and sex. A history of seasonal allergies was associated with greater odds of mood disorders, anxiety disorders, and eating disorders, but not alcohol or substance use disorders, after adjusting for socio-demographic characteristics and tobacco use. The associations between seasonal allergies and mood disorders, substance use disorders, and alcohol use disorders were particularly strong for Latino Americans. The association between seasonal allergies and eating disorders was stronger for men than women. Seasonal allergies are a risk factor for psychiatric disorders. Individuals complaining of seasonal allergies should be screened for early signs of mental health problems and referred to specialized services accordingly.

Correlates of vocational outcomes of youth with co-occurring mental illness and substance use disorders: Evidence from a vocational rehabilitation program

2021 ◽  
pp. 1-12
Author(s):  
Olayemi A. Akinola ◽  
Euchay Ngozi Horsman ◽  
Lisa Dunkley
Keyword(s):  
Mental Illness ◽  
Substance Use ◽  
Vocational Rehabilitation ◽  
Substance Use Disorders ◽  
The United States ◽  
Rehabilitation Program ◽  
Rehabilitation Services ◽  
Competitive Employment ◽  
Personal Factors ◽  
Vocational Outcomes

Abstract Youth with co-occurring mental illness and substance use disorders are at higher risk for vocational rehabilitation exclusion. This study aimed to (a) explore the personal factors associated with vocational outcomes of youth with co-occurring mental illness and substance use disorders and (b) highlight services that have shown the greatest promise for this population in the state-federal rehabilitation program in the United States. Our analytic sample was extracted from the Rehabilitation Services Administration’s Case Service Report data set for 2013, 2014, and 2015 fiscal years. Multiple regression analyses results identified personal factors such as gender, race/ethnicity, level of education, and severity of disability as predictors of the achievement of competitive employment, hours worked, and income. The receipt of vocational rehabilitation services such as job search support, job placement assistance, vocational training, and on-the-job support are significantly associated with the achievement of competitive employment, higher work hours, and income. These finding have implications for vocational rehabilitation practice as they highlight who is at higher risk for poor outcomes, effective services, and additional factors to consider when working with youth with co-occurring mental illness and substance use disorders.

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