Background: Individuals with severe mental illness experience greater unemployment and barriers to workforce re-entry. However, less is known about additional indicators of employment stability for individuals across mental illness severity.
Aims: This study aims to examine associations between mental illness severity, use and adequacy of mental health treatment, and indicators of employment stability.
Methods: In this repeated cross-sectional study, 2010-2019 data from the U.S. National Survey of Drug Use and Health were used to construct multivariate logistic regression models predicting the odds of part-time employment, past-year work interruption, number of past-year employers, and past-month health-related work absence by mental illness severity and adequacy of mental health treatment.
Results: Compared to individuals with no mental illness, those with any and severe mental illness had significantly higher odds of part-time employment (adjusted odds ratios [AORs] = 1.51 and 2.16, 95% confidence intervals [CIs] 1.4-1.6 and 2.0-2.3), multiple past-year employers (AORs = 1.78 and 2.34, CIs 1.7-1.9 and 2.1-2.6), past-year work interruption (AORs = 1.69 and 2.20, CIs 1.6-1.8 and 2.1-2.4), and >7 days of past-month work absence (AORs = 2.51 and 3.82, CIs 2.3-2.8 and 3.3-4.5). Among respondents with mental illness, perceived inadequacy of mental treatment predicted higher odds of all adverse employment outcomes.
Conclusions: Compared to those with no mental illness, individuals with mental illness of any severity have higher odds of employment instability. Policy and programmatic support aimed at addressing the needs of individuals with mental illness, including access to adequate mental health treatment, are needed to facilitate continued, competitive employment.
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http://dx.doi.org/10.1093/occmed/kqae054 | DOI Listing |
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, United States.
Background: Evidence-based digital therapeutics represent a new treatment modality in mental health, potentially providing cost-efficient, accessible means of augmenting existing treatments for chronic mental illnesses. CT-155/BI 3972080 is a prescription digital therapeutic under development as an adjunct to standard of care treatments for patients 18 years of age and older with experiential negative symptoms (ENS) of schizophrenia. Individual components of CT-155/BI 3972080 are designed based on the underlying principles of face-to-face treatment.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea.
Background: Insomnia is a prevalent sleep disorder affecting millions worldwide, with significant impacts on daily functioning and quality of life. While traditionally assessed through subjective measures such as the Insomnia Severity Index (ISI), the advent of wearable technology has enabled continuous, objective sleep monitoring in natural environments. However, the relationship between subjective insomnia severity and objective sleep parameters remains unclear.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
NOCD, Inc, Chicago, IL, United States.
Background: An effective primary treatment for obsessive-compulsive disorder (OCD) in children and adolescents as well as adults is exposure and response prevention (ERP), a form of intervention in the context of cognitive-behavioral therapy. Despite strong evidence supporting the efficacy and effectiveness of ERP from studies in research and real-world settings, its clinical use remains limited. This underuse is often attributed to access barriers such as the scarcity of properly trained therapists, geographical constraints, and costs.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia.
Background: Postpartum depression remains a significant concern, posing substantial challenges to maternal well-being, infant health, and the mother-infant bond, particularly in the face of barriers to traditional support and interventions. Previous studies have shown that mobile health (mHealth) interventions offer an accessible means to facilitate early detection and management of mental health issues while at the same time promoting preventive care.
Objective: This study aims to evaluate the effectiveness of the Leveraging on Virtual Engagement for Maternal Understanding & Mood-enhancement (LoVE4MUM) mobile app, which was developed based on the principles of cognitive behavioral therapy and psychoeducation and serves as an intervention to prevent postpartum depression.
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