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1.	Dicker, D, et al. (author) Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017 2018 In: Lancet (London, England). - 1474-547X .- 0140-6736. ; 392:10159, s. 1684-1735 Journal article (peer-reviewed)
2.	James, SL, et al. (author) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 2018 In: Lancet (London, England). - 1474-547X .- 0140-6736. ; 392:10159, s. 1789-1858 Journal article (peer-reviewed)
3.	Kyu, HH, et al. (author) Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 2018 In: Lancet (London, England). - 1474-547X .- 0140-6736. ; 392:10159, s. 1859-1922 Journal article (peer-reviewed)
4.	Roth, GA, et al. (author) Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017 2018 In: Lancet (London, England). - 1474-547X .- 0140-6736. ; 392:10159, s. 1736-1788 Journal article (peer-reviewed)
5.	Abbafati, C, et al. (author) Five insights from the Global Burden of Disease Study 2019 2020 In: Lancet (London, England). - 1474-547X .- 0140-6736. ; 396:10258, s. 1135-1159 Journal article (peer-reviewed)
6.	Kinyoki, DK, et al. (author) Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 2020 In: Nature medicine. - : Springer Science and Business Media LLC. - 1546-170X .- 1078-8956. ; 26:5, s. 750-759 Journal article (peer-reviewed)abstract A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic.
7.	de Jong, S, et al. (author) Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder 2018 In: Communications biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 1, s. 163- Journal article (peer-reviewed)abstract Psychiatric disorders are thought to have a complex genetic pathology consisting of interplay of common and rare variation. Traditionally, pedigrees are used to shed light on the latter only, while here we discuss the application of polygenic risk scores to also highlight patterns of common genetic risk. We analyze polygenic risk scores for psychiatric disorders in a large pedigree (n ~ 260) in which 30% of family members suffer from major depressive disorder or bipolar disorder. Studying patterns of assortative mating and anticipation, it appears increased polygenic risk is contributed by affected individuals who married into the family, resulting in an increasing genetic risk over generations. This may explain the observation of anticipation in mood disorders, whereby onset is earlier and the severity increases over the generations of a family. Joint analyses of rare and common variation may be a powerful way to understand the familial genetics of psychiatric disorders.
8.	Deshpande, A, et al. (author) Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17 2020 In: The Lancet. Global health. - 2214-109X. ; 8:9, s. E1162-E1185 Journal article (peer-reviewed)
9.	Jakobsson, J., et al. (author) Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1 2021 In: Autophagy. - : Informa UK Limited. - 1554-8635 .- 1554-8627. ; 17:1, s. 1-382 Journal article (peer-reviewed)
10.	Murray, CJL, et al. (author) Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019 2020 In: Lancet (London, England). - : Elsevier BV. - 1474-547X .- 0140-6736. ; 396:10258, s. 1223-1249 Journal article (peer-reviewed)

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Type of publication: journal article (390); conference paper (2)

Type of content: peer-reviewed (510); other academic/artistic (2)

Author/Editor: Chen, X. (461); Adye, T. (460); Aleksa, M. (460); Amelung, C. (460); Anastopoulos, C. (460); Antonelli, M. (460); show more...; Arai, Y. (460); Arnaez, O. (460); Asquith, L. (460); Assamagan, K. (460); Bachacou, H. (460); Backes, M. (460); Baker, O. K. (460); Banas, E. (460); Barisonzi, M. (460); Barklow, T. (460); Bauer, F. (460); Beau, T. (460); Beck, H. P. (460); Bella, G. (460); Beltramello, O. (460); Benary, O. (460); Benekos, N. (460); Benhammou, Y. (460); Berger, N. (460); Beringer, J. (460); Berry, T. (460); Bilokon, H. (460); Blumenschein, U. (460); Boehler, M. (460); Boisvert, V. (460); Boonekamp, M. (460); Borisov, A. (460); Borissov, G. (460); Bulekov, O. (460); Burckhart, H. (460); Burke, S. (460); Busato, E. (460); Calderini, G. (460); Carli, T. (460); Caron, S. (460); Casadei, D. (460); Catinaccio, A. (460); Chakraborty, D. (460); Chapman, J. D. (460); Chekanov, S. (460); Chen, H. (460); Cheu, E. (460); Chevalier, L. (460); Chouridou, S. (460); show less...

University: Lund University (338); Uppsala University (306); Stockholm University (300); Royal Institute of Technology (296); Karolinska Institutet (63); Högskolan Dalarna (11); show more...; Chalmers University of Technology (5); University of Gothenburg (4); Umeå University (4); Linköping University (2); Jönköping University (2); Swedish University of Agricultural Sciences (1); show less...

Language: English (524)

Research subject (UKÄ/SCB): Natural sciences (317); Medical and Health Sciences (36); Social Sciences (1)

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