Individual placement and support for young adults: One-year outcomes.

OBJECTIVE: Many young adults who are unemployed and not in school need support achieving employment goals. Individual Placement and Support (IPS) is an evidence-based employment practice for adults with serious mental illness, but its applicability to young adults with mental health conditions has not been well-researched. The present study prospectively assessed IPS effectiveness in a national sample of young adults enrolled in routine practice settings in the U.S. public mental health system. METHOD: Nine community agencies in five states participated in a 1-year follow-up study of young adults (aged 16-24) enrolled in IPS services. The study examined three outcomes: retention in services, employment, and education. State fidelity reviewers examined IPS fidelity using a new fidelity scale, the IPS-Y. RESULTS: In a sample of 111 participants, the mean age was 19.2, 72 (64.9%) had never worked, and 76 (68.5%) had a diagnosis of depressive and/or anxiety disorder. Participants averaged 8 months of enrollment before terminating from IPS services. During follow-up, 51 (45.9%) participants obtained a competitive job (N = 50) or paid internship (N = 1); 14 (12.6%) achieved a new education outcome. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: IPS has promising outcomes for helping young adults with mental health conditions achieve positive employment outcomes, but its effectiveness in helping young adults achieve education goals has not been demonstrated. IPS should be offered to young adults with employment goals. Targeted funding for supported education and training for IPS specialists in delivering educational supports may be necessary to ensure optimal education outcomes in IPS. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Individual placement and support programmes for young adults: Where are they and whom do they serve?

AIM: Individual Placement and Support (IPS), an evidence-based supported employment model developed for adults with serious mental illness, has been recently targeted to young adults with mental health conditions, but little is known about its adoption in this age group in the United States. METHODS: We recruited a volunteer sample of nine IPS programmes in five states serving young adults with mental health conditions aged 16 to 24. IPS team leaders reported programme and participant characteristics and rated barriers to employment and education. RESULTS: Most IPS programmes were located in community mental health centres, served a small number of young adults, and received most referrals from external sources. The study sample of 111 participants included 53% female, 47% under 21 years old, 60% diagnosed with a depressive disorder; 92% had an employment goal, and 40% had an education goal. IPS specialists reported that managing mental health symptoms was the most common barrier to achieving employment and education goals. CONCLUSION: Future research should examine how IPS programmes could best provide services to young adults.

Geochemistry and Multiomics Data Differentiate Streams in Pennsylvania Based on Unconventional Oil and Gas Activity.

Unconventional oil and gas (UOG) extraction is increasing exponentially around the world, as new technological advances have provided cost-effective methods to extract hard-to-reach hydrocarbons. While UOG has increased the energy output of some countries, past research indicates potential impacts in nearby stream ecosystems as measured by geochemical and microbial markers. Here, we utilized a robust data set that combines 16S rRNA gene amplicon sequencing (DNA), metatranscriptomics (RNA), geochemistry, and trace element analyses to establish the impact of UOG activity in 21 sites in northern Pennsylvania. These data were also used to design predictive machine learning models to determine the UOG impact on streams. We identified multiple biomarkers of UOG activity and contributors of antimicrobial resistance within the order Burkholderiales. Furthermore, we identified expressed antimicrobial resistance genes, land coverage, geochemistry, and specific microbes as strong predictors of UOG status. Of the predictive models constructed (n = 30), 15 had accuracies higher than expected by chance and area under the curve values above 0.70. The supervised random forest models with the highest accuracy were constructed with 16S rRNA gene profiles, metatranscriptomics active microbial composition, metatranscriptomics active antimicrobial resistance genes, land coverage, and geochemistry (n = 23). The models identified the most important features within those data sets for classifying UOG status. These findings identified specific shifts in gene presence and expression, as well as geochemical measures, that can be used to build robust models to identify impacts of UOG development. IMPORTANCE The environmental implications of unconventional oil and gas extraction are only recently starting to be systematically recorded. Our research shows the utility of microbial communities paired with geochemical markers to build strong predictive random forest models of unconventional oil and gas activity and the identification of key biomarkers. Microbial communities, their transcribed genes, and key biomarkers can be used as sentinels of environmental changes. Slight changes in microbial function and composition can be detected before chemical markers of contamination. Potential contamination, specifically from biocides, is especially concerning due to its potential to promote antibiotic resistance in the environment. Additionally, as microbial communities facilitate the bulk of nutrient cycling in the environment, small changes may have long-term repercussions. Supervised random forest models can be used to identify changes in those communities, greatly enhance our understanding of what such impacts entail, and inform environmental management decisions.

A Randomized Controlled Trial of an Employment Program for Veterans Transitioning from the Military: Two-Year Outcomes.

BACKGROUND: Military personnel face numerous challenges transitioning from military jobs to meaningful civilian employment. Many veterans seek help finding employment, but few veteran employment programs have been rigorously studied. Transitioning veterans generally have access to Local Community Resources (LCR), which include the Veterans Health Administration vocational rehabilitation services, the state-federal Vocational Rehabilitation program, and the Department of Labor's American Job Centers. By contrast, the innovative National Career Coach Program (NCCP) offers intensive career coaching and financial incentives for working. METHODS: This study used a randomized controlled design to compare the NCCP and LCR approaches for 208 transitioning service members (recent or pending transition). Researchers conducted interviews by telephone every four months for two years. Outcomes included earnings, months worked, and standardized self-report measures of health and well-being. Findings At two-year follow-up, significantly more NCCP participants had worked in paid employment than LCR participants (95% vs. 83%). NCCP participants averaged $2568 in monthly earnings compared to $1865 for LCR participants, thus averaging $16,872 more total income per participant over the two-year period. Employment outcomes significantly improved between Year 1 and Year 2. NCCP participants also reported significantly greater improvements in both physical and mental health compared to LCR participants. Average monthly earnings correlated with changes in health outcomes. CONCLUSIONS: Veterans receiving multi-faceted employment services early in the transition from the military showed sustained benefit over a two-year period with increased earnings over time and improved mental and physical outcomes. Positive employment outcomes may have contributed to improved health outcomes.

Transition from Military Service: Mental Health and Well-being Among Service Members and Veterans with Service-connected Disabilities.

Transitioning from military service is stressful for veterans with service-connected disabilities seeking civilian employment. This descriptive study examined self-assessed mental health, well-being, and substance use of men and women shortly before or after transition from US military service, compared to norms from community and military samples. As part of a prospective study evaluating an innovative employment program, researchers interviewed 229 current and former service members with service-connected disabilities transitioning from U.S. military service. Compared to published norms, respondents reported significantly poorer outcomes on 5 of 6 standardized measures, indicating less life satisfaction, poorer mental health, more symptoms of depression and posttraumatic stress disorder, and greater financial distress. In the previous year, 42% were prescribed opioid medications, over twice the annual opioid prescription rate of 19% in the general US population. Systematic strategies are needed to ensure access for transitioning veterans with serious behavioral health issues to appropriate evidence-based practices.

Evaluation of an Employment Intervention for Veterans Transitioning From the Military: A Randomized Controlled Trial.

ABSTRACT: Military personnel face numerous challenges transitioning from military jobs to meaningful civilian employment. The Independence Project compared an innovative employment program (National Career Coach Program) with standard employment services (Local Community Resources) in a randomized controlled trial. Study participants were transitioning veterans with self-reported service-connected disabilities seeking permanent employment. The primary outcomes were paid employment and disability ratings over 1 year. Secondary outcomes included health and well-being. At 1-year follow-up, National Career Coach Program participants were significantly more likely to work, had significantly greater earnings, and reported significantly greater improvements in physical and mental health compared with participants assigned to Local Community Resources. Both groups increased in disability ratings over 12 months, with no difference between groups. Multifaceted supports delivered by the National Career Coach Program increased employment, earnings, mental health, and physical health over 1 year. These significant differences appeared even though control group participants achieved considerable employment success.

Bacterial Biomarkers of Marcellus Shale Activity in Pennsylvania.

Unconventional oil and gas (UOG) extraction, also known as hydraulic fracturing, is becoming more prevalent with the increasing use and demand for natural gas; however, the full extent of its environmental impacts is still unknown. Here we measured physicochemical properties and bacterial community composition of sediment samples taken from twenty-eight streams within the Marcellus shale formation in northeastern Pennsylvania differentially impacted by hydraulic fracturing activities. Fourteen of the streams were classified as UOG+, and thirteen were classified as UOG- based on the presence of UOG extraction in their respective watersheds. One stream was located in a watershed that previously had UOG extraction activities but was recently abandoned. We utilized high-throughput sequencing of the 16S rRNA gene to infer differences in sediment aquatic bacterial community structure between UOG+ and UOG- streams, as well as correlate bacterial community structure to physicochemical water parameters. Although overall alpha and beta diversity differences were not observed, there were a plethora of significantly enriched operational taxonomic units (OTUs) within UOG+ and UOG- samples. Our biomarker analysis revealed many of the bacterial taxa enriched in UOG+ streams can live in saline conditions, such as Rubrobacteraceae. In addition, several bacterial taxa capable of hydrocarbon degradation were also enriched in UOG+ samples, including Oceanospirillaceae. Methanotrophic taxa, such as Methylococcales, were significantly enriched as well. Several taxa that were identified as enriched in these samples were enriched in samples taken from different streams in 2014; moreover, partial least squares discriminant analysis (PLS-DA) revealed clustering between streams from the different studies based on the presence of hydraulic fracturing along the second axis. This study revealed significant differences between bacterial assemblages within stream sediments of UOG+ and UOG- streams and identified several potential biomarkers for evaluating and monitoring the response of autochthonous bacterial communities to potential hydraulic fracturing impacts.