| 1. |
- Serge, M. A., et al.
(författare)
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Testing the Effect of Relative Pollen Productivity on the REVEALS Model : A Validated Reconstruction of Europe-Wide Holocene Vegetation
- 2023
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Ingår i: Land. - : MDPI. - 2073-445X. ; 12:5
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Tidskriftsartikel (refereegranskat)abstract
- Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1 degrees x 1 degrees) over the Holocene (last 11.7 ka BP) using the 'Regional Estimates of VEgetation Abundance from Large Sites' (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.
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| 3. |
- Wolters, Frank J, et al.
(författare)
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Twenty-seven-year time trends in dementia incidence in Europe and the United States: The Alzheimer Cohorts Consortium.
- 2020
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Ingår i: Neurology. - 1526-632X. ; 95:5
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Tidskriftsartikel (refereegranskat)abstract
- To determine changes in the incidence of dementia between 1988 and 2015.This analysis was performed in aggregated data from individuals >65 years of age in 7 population-based cohort studies in the United States and Europe from the Alzheimer Cohort Consortium. First, we calculated age- and sex-specific incidence rates for all-cause dementia, and then defined nonoverlapping 5-year epochs within each study to determine trends in incidence. Estimates of change per 10-year interval were pooled and results are presented combined and stratified by sex.Of 49,202 individuals, 4,253 (8.6%) developed dementia. The incidence rate of dementia increased with age, similarly for women and men, ranging from about 4 per 1,000 person-years in individuals aged 65-69 years to 65 per 1,000 person-years for those aged 85-89 years. The incidence rate of dementia declined by 13% per calendar decade (95% confidence interval [CI], 7%-19%), consistently across studies, and somewhat more pronouncedly in men than in women (24% [95% CI 14%-32%] vs 8% [0%-15%]).The incidence rate of dementia in Europe and North America has declined by 13% per decade over the past 25 years, consistently across studies. Incidence is similar for men and women, although declines were somewhat more profound in men. These observations call for sustained efforts to finding the causes for this decline, as well as determining their validity in geographically and ethnically diverse populations.
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| 4. |
- Coenen, Mirthe, et al.
(författare)
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Spatial distributions of white matter hyperintensities on brain MRI: A pooled analysis of individual participant data from 11 memory clinic cohorts
- 2023
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Ingår i: NeuroImage. Clinical. - 2213-1582. ; 40
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Tidskriftsartikel (refereegranskat)abstract
- INTRODUCTION: The spatial distribution of white matter hyperintensities (WMH) on MRI is often considered in the diagnostic evaluation of patients with cognitive problems. In some patients, clinicians may classify WMH patterns as "unusual", but this is largely based on expert opinion, because detailed quantitative information about WMH distribution frequencies in a memory clinic setting is lacking. Here we report voxel wise 3D WMH distribution frequencies in a large multicenter dataset and also aimed to identify individuals with unusual WMH patterns. METHODS: Individual participant data (N=3525, including 777 participants with subjective cognitive decline, 1389 participants with mild cognitive impairment and 1359 patients with dementia) from eleven memory clinic cohorts, recruited through the Meta VCI Map Consortium, were used. WMH segmentations were provided by participating centers or performed in Utrecht and registered to the Montreal Neurological Institute (MNI)-152 brain template for spatial normalization. To determine WMH distribution frequencies, we calculated WMH probability maps at voxel level. To identify individuals with unusual WMH patterns, region-of-interest (ROI) based WMH probability maps, rule-based scores, and a machine learning method (Local Outlier Factor (LOF)), were implemented. RESULTS: WMH occurred in 82% of voxels from the white matter template with large variation between subjects. Only a small proportion of the white matter (1.7%), mainly in the periventricular areas, was affected by WMH in at least 20% of participants. A large portion of the total white matter was affected infrequently. Nevertheless, 93.8% of individual participants had lesions in voxels that were affected in less than 2% of the population, mainly located in subcortical areas. Only the machine learning method effectively identified individuals with unusual patterns, in particular subjects with asymmetric WMH distribution or with WMH at relatively rarely affected locations despite common locations not being affected. DISCUSSION: Aggregating data from several memory clinic cohorts, we provide a detailed 3D map of WMH lesion distribution frequencies, that informs on common as well as rare localizations. The use of data-driven analysis with LOF can be used to identify unusual patterns, which might serve as an alert that rare causes of WMH should be considered.
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| 5. |
- Giménez-García, Angel, et al.
(författare)
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Pollination supply models from a local to global scale
- 2023
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Ingår i: Web Ecology. - 1399-1183. ; 23:2, s. 99-129
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Tidskriftsartikel (refereegranskat)abstract
- Ecological intensification has been embraced with great interest by the academic sector but is still rarely taken up by farmers because monitoring the state of different ecological functions is not straightforward. Modelling tools can represent a more accessible alternative of measuring ecological functions, which could help promote their use amongst farmers and other decision-makers. In the case of crop pollination, modelling has traditionally followed either a mechanistic or a data-driven approach. Mechanistic models simulate the habitat preferences and foraging behaviour of pollinators, while data-driven models associate georeferenced variables with real observations. Here, we test these two approaches to predict pollination supply and validate these predictions using data from a newly released global dataset on pollinator visitation rates to different crops. We use one of the most extensively used models for the mechanistic approach, while for the data-driven approach, we select from among a comprehensive set of state-of-The-Art machine-learning models. Moreover, we explore a mixed approach, where data-derived inputs, rather than expert assessment, inform the mechanistic model. We find that, at a global scale, machine-learning models work best, offering a rank correlation coefficient between predictions and observations of pollinator visitation rates of 0.56. In turn, the mechanistic model works moderately well at a global scale for wild bees other than bumblebees. Biomes characterized by temperate or Mediterranean forests show a better agreement between mechanistic model predictions and observations, probably due to more comprehensive ecological knowledge and therefore better parameterization of input variables for these biomes. This study highlights the challenges of transferring input variables across multiple biomes, as expected given the different composition of species in different biomes. Our results provide clear guidance on which pollination supply models perform best at different spatial scales-the first step towards bridging the stakeholder-Academia gap in modelling ecosystem service delivery under ecological intensification.
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| 7. |
- Babiano-Espinosa, L., et al.
(författare)
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eCBT Versus Standard Individual CBT for Paediatric Obsessive-Compulsive Disorder
- 2023
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Ingår i: Child Psychiatry & Human Development. - : Springer Science and Business Media LLC. - 0009-398X .- 1573-3327. ; 54:6, s. 1567-1576
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Tidskriftsartikel (refereegranskat)abstract
- Obsessive-compulsive disorder (OCD) is characterized by recurring obsessions and compulsions often with severe impairment affecting 1-3% of children and adolescents. Cognitive behavioural therapy (CBT) is the therapeutic golden standard for paediatric OCD. However, face-to-face CBT is limited by accessibility, availability, and quality of delivery. Enhanced CBT (eCBT) a combination of face-to-face sessions at the clinic and treatment at home via webcam and a supportive app system aims to address some of these barriers. In this pilot study, we compared eCBT outcomes of 25 paediatric patients with OCD benchmarked against traditional face-to-face CBT (n = 269) from the Nordic Long-term OCD Treatment Study, the largest paediatric OCD CBT study to date. Pairwise comparisons showed no difference between eCBT and NordLOTS treatment outcomes. Mean estimate difference was 2.5 in favour of eCBT (95% CI - 0.3 to 5.3). eCBT compared to NordLOTS showed no significant differences between response and remission rates, suggesting similar effectiveness.
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| 9. |
- González-Gil, E. M., et al.
(författare)
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Impaired metabolic health over-time and high abdominal fat are prospectively associated with high-sensitivity C-reactive protein in children: The IDEFICS study
- 2021
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Ingår i: Pediatric Obesity. - : Wiley. - 2047-6302 .- 2047-6310. ; 16:11
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Tidskriftsartikel (refereegranskat)abstract
- Background: Metabolic risk and inflammatory state have an early life onset and are associated with future diseases. Objectives: To assess the association between metabolic syndrome (MetS) and metabolic health with high-sensitive C-reactive protein (hsCRP), cross-sectionally and longitudinally, in children. Methods: 2913 European children (2-10 years) from eight countries from the IDEFICS study were investigated. Data were collected at baseline and 2 years later (follow-up). A MetS z-score was computed with waist circumference (WC), insulin resistance index, blood pressure, high-density lipoprotein cholesterol and triglycerides. Metabolically unhealthy (MU) status was assessed. Multi-level linear and logistic regressions were performed. Results: Among the MetS markers, WC was more consistently associated with hsCRP cross-sectional and prospectively. Baseline MetS score was significantly associated with greater risk of high hsCRP at follow-up and with prevalence and incidence of hsCRP. Those children who became MU overtime were significantly (P <.05) associated with future higher levels of hsCRP, independently of weight status at baseline. Conclusions: Transition over time to a MU state was associated with higher levels of hsCRP at follow-up, independent of weight status at baseline. Screening of metabolic factors and routine measurement of WC are needed to prevent inflammatory status and related chronic diseases in children. © 2021 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.
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