| 1. |
- Lind, Lars, et al.
(författare)
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)
- 2021
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Ingår i: eLife. - : eLife Sciences Publications Ltd. - 2050-084X. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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| 2. |
- Mishra, A, et al.
(författare)
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Diminishing benefits of urban living for children and adolescents' growth and development
- 2023
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 615:7954, s. 874-883
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Tidskriftsartikel (refereegranskat)abstract
- Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1–6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5–19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m–2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.
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| 3. |
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| 4. |
- Le Clerc, S., et al.
(författare)
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HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders
- 2021
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Bipolar affective disorder (BD) is a severe psychiatric illness, for which lithium (Li) is the gold standard for acute and maintenance therapies. The therapeutic response to Li in BD is heterogeneous and reliable biomarkers allowing patients stratification are still needed. A GWAS performed by the International Consortium on Lithium Genetics (ConLiGen) has recently identified genetic markers associated with treatment responses to Li in the human leukocyte antigens (HLA) region. To better understand the molecular mechanisms underlying this association, we have genetically imputed the classical alleles of the HLA region in the European patients of the ConLiGen cohort. We found our best signal for amino-acid variants belonging to the HLA-DRB1*11:01 classical allele, associated with a better response to Li (p < 1 x 10(-3); FDR < 0.09 in the recessive model). Alanine or Leucine at position 74 of the HLA-DRB1 heavy chain was associated with a good response while Arginine or Glutamic acid with a poor response. As these variants have been implicated in common inflammatory/autoimmune processes, our findings strongly suggest that HLA-mediated low inflammatory background may contribute to the efficient response to Li in BD patients, while an inflammatory status overriding Li anti-inflammatory properties would favor a weak response.
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| 5. |
- Cearns, M., et al.
(författare)
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Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach
- 2022
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Ingår i: British Journal of Psychiatry. - : Royal College of Psychiatrists. - 0007-1250 .- 1472-1465. ; 220:4, s. 219-228
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Tidskriftsartikel (refereegranskat)abstract
- Background Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment. Aims To use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder. Method This study utilised genetic and clinical data (n = 1034) collected as part of the International Consortium on Lithium Genetics (ConLi(+)Gen) project. Polygenic risk scores (PRS) were computed for schizophrenia and major depressive disorder, and then combined with clinical variables using a cross-validated machine-learning regression approach. Unimodal, multimodal and genetically stratified models were trained and validated using ridge, elastic net and random forest regression on 692 patients with bipolar disorder from ten study sites using leave-site-out cross-validation. All models were then tested on an independent test set of 342 patients. The best performing models were then tested in a classification framework. Results The best performing linear model explained 5.1% (P = 0.0001) of variance in lithium response and was composed of clinical variables, PRS variables and interaction terms between them. The best performing non-linear model used only clinical variables and explained 8.1% (P = 0.0001) of variance in lithium response. A priori genomic stratification improved non-linear model performance to 13.7% (P = 0.0001) and improved the binary classification of lithium response. This model stratified patients based on their meta-polygenic loadings for major depressive disorder and schizophrenia and was then trained using clinical data. Conclusions Using PRS to first stratify patients genetically and then train machine-learning models with clinical predictors led to large improvements in lithium response prediction. When used with other PRS and biological markers in the future this approach may help inform which patients are most likely to respond to lithium treatment.
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| 6. |
- Schubert, K. O., et al.
(författare)
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Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients
- 2021
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Ingår i: Translational Psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- Lithium is the gold standard therapy for Bipolar Disorder (BD) but its effectiveness differs widely between individuals. The molecular mechanisms underlying treatment response heterogeneity are not well understood, and personalized treatment in BD remains elusive. Genetic analyses of the lithium treatment response phenotype may generate novel molecular insights into lithium's therapeutic mechanisms and lead to testable hypotheses to improve BD management and outcomes. We used fixed effect meta-analysis techniques to develop meta-analytic polygenic risk scores (MET-PRS) from combinations of highly correlated psychiatric traits, namely schizophrenia (SCZ), major depression (MD) and bipolar disorder (BD). We compared the effects of cross-disorder MET-PRS and single genetic trait PRS on lithium response. For the PRS analyses, we included clinical data on lithium treatment response and genetic information for n = 2283 BD cases from the International Consortium on Lithium Genetics (ConLi(+)Gen; ). Higher SCZ and MD PRSs were associated with poorer lithium treatment response whereas BD-PRS had no association with treatment outcome. The combined MET2-PRS comprising of SCZ and MD variants (MET2-PRS) and a model using SCZ and MD-PRS sequentially improved response prediction, compared to single-disorder PRS or to a combined score using all three traits (MET3-PRS). Patients in the highest decile for MET2-PRS loading had 2.5 times higher odds of being classified as poor responders than patients with the lowest decile MET2-PRS scores. An exploratory functional pathway analysis of top MET2-PRS variants was conducted. Findings may inform the development of future testing strategies for personalized lithium prescribing in BD.
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| 7. |
- Amare, A. T., et al.
(författare)
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Association of polygenic score for major depression with response to lithium in patients with bipolar disorder
- 2021
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Ingår i: Molecular Psychiatry. - : Springer Science and Business Media LLC. - 1359-4184 .- 1476-5578. ; 26, s. 2457-2470
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Tidskriftsartikel (refereegranskat)abstract
- Lithium is a first-line medication for bipolar disorder (BD), but only one in three patients respond optimally to the drug. Since evidence shows a strong clinical and genetic overlap between depression and bipolar disorder, we investigated whether a polygenic susceptibility to major depression is associated with response to lithium treatment in patients with BD. Weighted polygenic scores (PGSs) were computed for major depression (MD) at different GWAS p value thresholds using genetic data obtained from 2586 bipolar patients who received lithium treatment and took part in the Consortium on Lithium Genetics (ConLi(+)Gen) study. Summary statistics from genome-wide association studies in MD (135,458 cases and 344,901 controls) from the Psychiatric Genomics Consortium (PGC) were used for PGS weighting. Response to lithium treatment was defined by continuous scores and categorical outcome (responders versus non-responders) using measurements on the Alda scale. Associations between PGSs of MD and lithium treatment response were assessed using a linear and binary logistic regression modeling for the continuous and categorical outcomes, respectively. The analysis was performed for the entire cohort, and for European and Asian sub-samples. The PGSs for MD were significantly associated with lithium treatment response in multi-ethnic, European or Asian populations, at various p value thresholds. Bipolar patients with a low polygenic load for MD were more likely to respond well to lithium, compared to those patients with high polygenic load [lowest vs highest PGS quartiles, multi-ethnic sample: OR = 1.54 (95% CI: 1.18-2.01) and European sample: OR = 1.75 (95% CI: 1.30-2.36)]. While our analysis in the Asian sample found equivalent effect size in the same direction: OR = 1.71 (95% CI: 0.61-4.90), this was not statistically significant. Using PGS decile comparison, we found a similar trend of association between a high genetic loading for MD and lower response to lithium. Our findings underscore the genetic contribution to lithium response in BD and support the emerging concept of a lithium-responsive biotype in BD.
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| 10. |
- Sperl, L, et al.
(författare)
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EDUCATIONAL NEEDS AMONG HEALTH PROFESSIONALS IN RHEUMATOLOGY: LOW AWARENESS OF EULAR OFFERINGS AND UNFAMILIARITY WITH COURSE CONTENT AS A MAJOR BARRIER - A EULAR FUNDED EUROPEAN SURVEY
- 2022
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Ingår i: ANNALS OF THE RHEUMATIC DISEASES. - : BMJ. - 0003-4967 .- 1468-2060. ; 81, s. 139-140
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Health professionals in rheumatology (HPRs) should participate in post-graduate or continuous education to update and advance their knowledge and skills. This can improve patient outcomes and increase quality of care.1 EULAR aims to become a leading provider of postgraduate education for HPRs.ObjectivesThe aims of this study were to evaluate the current motivations for participating in postgraduate education of HPRs, identify barriers and facilitators for participation in postgraduate education, and evaluate participation in the current educational offerings of EULAR for HPRs across Europe.MethodsAn online survey was developed and distributed in collaboration with the EULAR Standing Committee of Education and Training (ESCET) and the Paediatric Rheumatology European Society (PReS). The questionnaire was translated by national HPR representatives in 24 languages to cover the 25 national member organisations. Barriers were assessed using 5-point Likert scales, higher scores representing higher barriers. Quantitative data were analysed using descriptive statistics. In addition, we ran the Latent Dirichlet Allocation (LDA) on the answers to the open questions. LDA is an unsupervised probabilistic topic modelling technique that extracts the meanings of a pre-defined number of topics. Design of the survey and reporting of results were done according to the Checklist for Reporting Results of Internet E-Surveys (CHERRIES).ResultsThe online questionnaire was accessed 3,589 times but only 667 complete responses were recorded. HPRs from 34 European countries responded to the survey; 80% of whom were women. The highest-ranked educational need was prevention, including lifestyle interventions and professional development. Although EULAR was well known among HPRs, only 32.1% of HPRs in adult care and 18.6% of HPRs in paediatric care have ever heard of the EULAR School of Rheumatology (Table 1 A).Table 1.A: Feedback on EULAR. Data are presented separately for HPRs in adult and paediatric care; except for the filter questions, no mandatory questions were included in the survey. To clarify the number of responses per question, the number of valid answers for each question was reported.VariablesHPRs in adult careHPRs in paediatric careHave you ever heard of the EULAR School of Rheumatology?61443 I am not sure, n(%)62 (10.1%)7 (16.3%) No, n(%)355 (57.8%)28 (65.1%) Yes, n(%)197 (32.1%)8 (18.6%)Are you aware of courses offered by the EULAR School of Rheumatology? (sub question)1978 I am not sure, n(%)30 (15.2%)2 (25.0%) No, n(%)63 (32.0%)5 (62.5%) Yes, n(%)104 (52.8%)1 (12.5%)Have you ever attended one of the EULAR School of Rheumatology courses? (sub question)1031 I am not sure, n(%)1 (1.0%)0 No, n(%)47 (45.6%)0 Yes, n(%)55 (53.4%)1 (100%)Have you ever participated in a EULAR annual congress meeting?61843 I am not sure, n(%)11 (1.8%)0 No, n(%)457 (73.9%)39 (90.7%) Yes, n(%)150 (24.3%)4 (9.3%)The main barriers to participation in EULAR’s educational offerings were identified by HPRs in adult care and in paediatric care (respectively) as: the unfamiliarity with the course content (3.48 [±1.50]; 3.92 [±1.46]), the associated costs (3.44 [±1.35]; 3.69 [±1.28]) and English language (2.59 [±1.50]; 2.80 [±1.34]).ConclusionEULAR is well-known by HPRs in Europe, however, awareness of educational offerings is low and barriers to participation are numerous. To become the leading provider of postgraduate training by 2023, EULAR could use a “franchise” model that can be tailored to local conditions. This could be achieved by strengthening national organizations by actively involving them in the development of training programs and disseminating these programs and offerings through their networks.References[1]World Health Organization. Health workforce: Education and training: World Health Organization; 2019 [Available from: https://www.who.int/hrh/education/en/ accessed November, 2019 2019.Disclosure of InterestsLisa Sperl: None declared, Tanja Stamm Speakers bureau: AbbVie, Novartis, Roche, Sanofi, and Takeda, Consultant of: AbbVie and Sanofi Genzyme, Grant/research support from: AbbVie and Roche, Margaret Renn Andrews: None declared, Mathilda Bjork: None declared, Carina Boström: None declared, Jeannette Cappon: None declared, Jenny de la Torre-Aboki: None declared, Annette de Thurah: None declared, Andrea Domjan: None declared, Razvan Dragoi Speakers bureau: Received speaker fees last year from: Pfizer, Elly Lilly, Sandoz, Abbvie, Secom, EwoPharma, Fernando Estevez-Lopez: None declared, Ricardo J. O. Ferreira: None declared, George E. Fragoulis: None declared, Jolanta Grygielska: None declared, Katti Korve: None declared, Marja Leena Kukkurainen: None declared, Christel Madelaine-Bonjour: None declared, Andrea Marques: None declared, Jorit Meesters: None declared, Rikke Helene Moe: None declared, Ellen Moholt: None declared, Erika Mosor: None declared, Claudia Naimer-Stach: None declared, Mwidimi Ndosi: None declared, Polina Pchelnikova: None declared, Jette Primdahl: None declared, Polina Putrik: None declared, Anne-Kathrin Rausch Osthoff: None declared, Hana Smucrova: None declared, Sinisa Stefanac: None declared, Marco Testa: None declared, Leti van Bodegom-Vos: None declared, Wilfred Peter: None declared, Heidi A. Zangi: None declared, Olena Zimba: None declared, T.P.M. Vliet Vlieland: None declared, Valentin Ritschl: None declared
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