Background: Previous studies indicate a high prevalence of psychiatric disorders in adults with type 1 diabetes mellitus. The aim of our study was to determine if newly diagnosed adults with type 1 diabetes already have an elevated rate of psychiatric disorders at the beginning of their physical illness.
Methods: The authors consecutively recruited 313 newly diagnosed, adult inpatients with type 1 diabetes (age 17-40 years) from 12 hospitals. A national, representative population sample of 2046 persons of a similar age range served as the reference group. Psychiatric disorders were measured in both groups using structured interviews that provided diagnoses according to DSM-IV.
Results: There was a point prevalence of 12.5% for psychiatric disorders in the sample. The most frequent conditions were anxiety and affective disorders. Subjects with type 1 diabetes demonstrated a rate of major depressive episodes twice that of the reference group (5.8% vs 2.7%, p < 0.003; corrected for confounders). Apart from this finding, there was no significantly increased prevalence of psychiatric disorders in the diabetes sample as compared to the general German population.
Conclusion: The rate of major depressive episodes in the new onset cohort of type 1 diabetes patients was double that of the population as a whole. However, the hypothesis, that newly diagnosed type 1 diabetes patients have more psychiatric disorders than the general population, was not confirmed.
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http://dx.doi.org/10.1002/dmrr.374 | DOI Listing |
Neuropsychopharmacology
January 2025
Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, VA, USA.
Postpartum depression (PPD) affects ~10-15% of childbearing individuals, with deleterious consequences for two generations. Recent research has explored the biological mechanisms of PPD, particularly neuroactive steroids (NAS). We sought here to investigate associations between NAS levels and ratios during pregnancy and the subsequent development of depressive symptoms with postpartum onset.
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January 2025
Medical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu, 474-8511, Aichi, Japan.
The prevalence of Alzheimer's disease (AD) is increasing as society ages. The details of AD pathogenesis have not been fully elucidated, and a comprehensive gene expression analysis of the process leading up to the onset of AD would be helpful for understanding the mechanism. We performed an RNA sequencing analysis on a cohort of 1227 Japanese blood samples, representing 424 AD patients, 543 individuals with mild cognitive impairment (MCI), and 260 cognitively normal (CN) individuals.
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January 2025
Department of Pharmacology and Experimental Therapeutics; MS 1015, College of Pharmacy and Pharmaceutical Sciences, The University of Toledo, Health Education Building; Room 282E, 3000 Arlington Ave, Toledo, OH, 43614, USA.
We previously demonstrated that the inability of primary endothelial cilia to sense fluid shear stress can lead to nitric oxide (NO) deficiency and cause hypertension (HTN). Decreased biosynthesis of NO contributes to cerebral amyloid angiopathy in Alzheimer's disease (AD) patients through increased deposition of amyloid beta (Aβ). However, the molecular mechanisms underlying the pathogenesis of HTN and AD are incompletely understood.
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January 2025
Institute for Forensic Psychology and Psychiatry, Saarland University, Homburg, Germany.
Associations between adverse childhood experiences (ACEs) and aggressive behavior have often been demonstrated, but the mechanisms underneath these relations are yet unclear. As high levels of ACEs and aggression have been found among individuals with attention deficit/hyperactivity disorder (ADHD), ADHD dimensions might explain this association. Moreover, maladaptive emotion regulation is common in ADHD and was associated with aggressive behavior.
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January 2025
Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan, 250021, Shandong, China.
To develop and validate non-contrast computed tomography (NCCT)-based radiomics method combines machine learning (ML) to investigate invisible microscopic acute ischaemic stroke (AIS) lesions. We retrospectively analyzed 1122 patients from August 2015 to July 2022, whose were later confirmed AIS by diffusion-weighted imaging (DWI). However, receiving a negative result was reported by radiologists according to the NCCT images.
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