Publications by authors named "Martin Preisig"

In face of cumulating evidence about the impact of human-induced environmental changes on mental health and behavior, our understanding of the main effects and interactions between environmental factors - i.e., the exposome and the brain - is still limited.

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  • Early worsening of plasma lipid levels (EWL), defined as a ≥5% change after one month, is linked to long-term lipid issues in patients treated with certain psychotropic medications.
  • This study identified that low initial levels of total cholesterol, LDL-C, and triglycerides, along with high HDL-C levels, are significant risk factors for EWL, and integrating specific genetic variations (SNPs) can enhance prediction accuracy.
  • Overall, clinical and genetic factors are important for predicting EWL and developing new-onset dyslipidaemia, suggesting the need for larger studies to improve these predictive models for clinical use.
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Given the association of Epstein-Barr virus (EBV) with subjective perception of fatigue and demyelination in clinical conditions, the question about potential subclinical effects in the adult general population remains open. We investigate the association between individuals' EBV immune response and perceived fatigue in a community dwelling cohort (n = 864, age 62 ± 10 years old; 49% women) while monitoring brain tissue properties. Fatigue levels are assessed with the established fatigue severity scale, the EBNA-1 and VCA p18 immunoglobulin G (IgG) chronic response - with multiplex serology and the estimates of local brain volume, myelin content, and axonal density - using relaxometry- and multi-shell diffusion-based magnetic resonance imaging (MRI).

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Weight-inducing psychotropic treatments are risk factors for age-related diseases such as cardiovascular disorders, which are associated with both inflammation and telomere length shortening. With a longitudinal design, the present study evaluates telomere length trajectories after 1 year of weight-inducing psychotropic medication, accounting for weight changes and the inflammatory biomarker high-sensitivity C-Reactive Protein (CRP). Among 200 patients, an overall median telomere shortening of -41.

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  • A history of depression is a significant predictor for developing perinatal depression (fePND), but factors influencing first-time depression during this period are not well understood.
  • This study looked at how allergies and related blood parameters impact perinatal depression using data from CoLaus|PsyCoLaus.
  • The findings suggest that new cases of depression during the perinatal period are linked to a history of allergies and higher levels of certain immune cells, indicating that immune function may influence the risk for fePND and could help inform prevention strategies.
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Introduction: Adverse childhood events (ACEs) have been linked to widespread chronic pain (CP) in various cross-sectional studies, mainly in clinical populations. However, the independent role of different ACEs on the development of different types of CP remains elusive. Accordingly, we aimed to prospectively assess the associations between specific types of ACEs with the development of multisite CP in a large population-based cohort.

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Purpose: To prospectively assess (1) the associations of Effort-Reward Imbalance (ERI), its individual components, and over-commitment with (a) the onset of a Major Depressive Episode (MDE) during a 3.6-year follow-up in a population-based cohort in participants with no current Major Depressive Disorder (MDD) in the beginning of the follow-up (n = 959), (b) incidence of MDD in the subsample of participants exempt from lifetime MDD (n = 490), and (c) the onset of a new MDE (i.e.

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Research on antidepressant-related weight changes over more than 12 months is scarce and adjustment for the effects of depressive episodes has rarely been applied. Accordingly, our aim was to assess the associations of the use of any antidepressants, subclasses of antidepressant and specific compounds prior to baseline and during a 5.5-year follow-up with changes in adiposity markers, and the effect of sex on these associations, with adjustment for multiple confounders including the effects of depressive episodes and their severity.

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  • * A genome-wide association meta-analysis of nearly 122,000 ANX cases revealed 58 significant genetic variants and 66 related genes, with many of these findings replicated in a larger independent sample.
  • * The findings indicate a substantial genetic overlap between ANX and other conditions like depression, emphasizing GABAergic signaling as a key mechanism, thereby enhancing our understanding of the genetic basis of ANX for future research.
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  • The study investigates how accelerometry data, covering sleep, physical activity, and circadian rhythms, relates to mood disorders like major depressive disorder (MDD), moving beyond traditional research that often examined these factors in isolation.
  • The Joint and Individual Variation Explained (JIVE) method was used to analyze data from 2,317 adults in Switzerland, identifying key components from accelerometry data linked to both current and remitted MDD.
  • Results indicated that certain joint components explain a significant portion of variation in sleep and activity patterns, with distinct associations found between these components and both ongoing and past depressive states.
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  • * Key findings showed that higher scores on the Epworth Sleepiness Scale and the presence of insomnia symptoms were associated with a greater risk of developing MDD, with specific hazard ratios calculated for both factors.
  • * Notably, men with increased rapid eye movement (REM) sleep had a higher MDD incidence, while women with higher delta power in their sleep showed a lower incidence, indicating gender differences in how sleep affects depression risk.
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  • - The study aimed to evaluate how accurate self-reported caffeine consumption is by comparing it to actual plasma levels of caffeine and its metabolites in a community setting.
  • - Utilizing data from two large Swiss studies, researchers found discrepancies between self-reported caffeine intake and measured plasma levels, particularly noticing a change in trend after 3-5 cups of coffee per day.
  • - The results suggest that self-reports of low or high caffeine consumption can be misleading, highlighting the benefit of measuring plasma levels for better assessing caffeine intake.
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Over 50% of children with a parent with severe mental illness will develop mental illness by early adulthood. However, intergenerational transmission of risk for mental illness in one's children is insufficiently considered in clinical practice, nor is it sufficiently utilised into diagnostics and care for children of ill parents. This leads to delays in diagnosing young offspring and missed opportunities for protective actions and resilience strengthening.

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The aim of this study was to evaluate valproate dose association with weight change, blood glucose, lipid levels, and blood pressure in a psychiatric population. Data from 215 patients taking valproate for up to 1 year were collected from 2 longitudinal studies that monitored metabolic variables between 2007 and 2022. Linear mixed-effect models and logistic regressions were used to analyze the associations between valproate doses and metabolic outcomes.

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Given the unpredictable rapid onset and ubiquitous consequences of weight gain induced by antipsychotics, there is a pressing need to get insights into the underlying processes at the brain system level that will allow stratification of "at risk" patients. The pathophysiological hypothesis at hand is focused on brain networks governing impulsivity that are modulated by neuro-inflammatory processes. To this aim, we investigated brain anatomy and functional connectivity in patients with early psychosis (median age: 23 years, IQR = 21-27) using anthropometric data and magnetic resonance imaging acquired one month to one year after initiation of AP medication.

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Despite major advances, our understanding of the neurobiology of life course socioeconomic conditions is still scarce. This study aimed to provide insight into the pathways linking socioeconomic exposures-household income, last known occupational position, and life course socioeconomic trajectories-with brain microstructure and cognitive performance in middle to late adulthood. We assessed socioeconomic conditions alongside quantitative relaxometry and diffusion-weighted magnetic resonance imaging indicators of brain tissue microstructure and cognitive performance in a sample of community-dwelling men and women ( = 751, aged 50-91 years).

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Introduction: Mental health disorders figure among the many comorbidities of obstructive respiratory diseases. The multisystemic characteristics of chronic respiratory disease and its impact on quality of life could affect depressive and/or anxiety disorders. We aimed to evaluate the association of spirometric indices, ventilatory disorders, and self-reported respiratory diseases with psychiatric disorders considering potential confounders.

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Background: Psychiatric patients are at high risk of readmission, and a high body mass index has previously been shown as a risk factor. We sought to replicate this finding and 1) to prospectively assess the association of metabolic syndrome and its five components with readmission in psychiatric hospitals and 2) to identify other clinical and sociodemographic predictors of readmission.

Methods: Between 2007 and 2019, data on 16727 admissions of 7786 adult and elderly patients admitted to the Department of Psychiatry of the Lausanne University Hospital, were collected.

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Whether cardiovascular risk scores geographically aggregate and inform on spatial development of atherosclerotic cardiovascular diseases (ASCVD) remains unknown. Our aim is to determine the spatial distribution of 10-year predicted cardiovascular risk and ASCVD, and to compare the overlap of the resulting spatial distributions. Using prospective data from the CoLaus|PsyCoLaus cohort study (2003-2021) we computed SCORE2 in participants free from ASCVD.

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Objective: We aimed to assess the effect on cognitive function of adding dairy (total, fermented, non-fermented, full fat, low fat, and sugary) to the diet and of substituting some food groups for dairy.

Design: Secondary analysis of a prospective population-based cohort study.

Participants: We analyzed data from 1334 cognitively healthy participants (median age 67 years at baseline) with a mean follow-up of 5.

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Neurodegenerative, vascular, and dementia diseases are linked to dysregulations in cholesterol metabolism. Dietary plant sterols, or phytosterols, may interfere to neurodegeneration and cognitive decline, and have cholesterol-lowering, anti-inflammatory, and antioxidant qualities. Here, we investigated the potential associations between circulating cholesterol precursors and metabolites, triglycerides, and phytosterols with cognitive decline in older people by performing multivariate analysis on 246 participants engaged in a population-based prospective study.

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Background: Lack of physical activity (PA) and high sedentary behavior (SB) may enhance mental health problems, including depression, and are associated with increased mortality. Aside from a large body of research on major depressive disorder (MDD) assessed as an entity and either PA or SB, few studies have examined associations among subtypes of MDD and both PA and SB simultaneously derived from wrist-worn accelerometers. Accordingly, our aim was to explore the associations among MDD subtypes (atypical, melancholic, combined atypical-melancholic and unspecified) and four actigraphy-derived behaviors combining the levels of PA and SB.

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