Objective: Previous studies have investigated the incidence of type 2 diabetes in individuals with psychiatric disorders, but most studies have focused on a specific psychiatric disorder or a selected sample. More population-based studies are needed to determine these associations in representative samples. We therefore aimed to determine these associations in a nationwide, register-based dynamic cohort study.
Research Design And Methods: We analyzed data from 5,005,612 adults living in Denmark between 1995 and 2018, without prior diabetes. We investigated 10 different categories of psychiatric disorders and a composite group with any psychiatric disorder. Individuals with a psychiatric disorder were compared with individuals without using multivariable-adjusted Poisson regression to estimate incidence rate ratios (IRR) of type 2 diabetes. We modeled age-specific incidence rates (IR) for individuals with and without the specific psychiatric disorder. All models were stratified by sex.
Results: In total, 334,739 individuals developed type 2 diabetes during follow-up. For all investigated categories of psychiatric disorders, we found increased IR of type 2 diabetes for individuals with versus those without a psychiatric disorder (IRR: men, 1.47 [95% CI 1.45-1.50]; women, 1.65 [95% CI 1.62-1.68]). When we examined age-specific IR, the largest differences were found in the younger population (<50 years).
Conclusions: We found that the IR of type 2 diabetes was higher in individuals with a psychiatric disorder compared with individuals without a psychiatric disorder and particularly high in the younger people with a psychiatric disorder. New studies into the prevention and early detection of type 2 diabetes in these groups are warranted.
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http://dx.doi.org/10.2337/dc21-1864 | 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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