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Search: WFRF:(Zheng W.) > Uppsala University

  • Result 1-10 of 322
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3.
  • Lind, Lars, et al. (author)
  • Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)
  • 2021
  • In: eLife. - : eLife Sciences Publications Ltd. - 2050-084X. ; 10
  • Journal article (peer-reviewed)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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4.
  • Bixby, H., et al. (author)
  • Rising rural body-mass index is the main driver of the global obesity epidemic in adults
  • 2019
  • In: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 569:7755, s. 260-4
  • Journal article (peer-reviewed)abstract
    • Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.
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5.
  • Aaltonen, T., et al. (author)
  • Combination of Tevatron Searches for the Standard Model Higgs Boson in the W+W- Decay Mode
  • 2010
  • In: Physical Review Letters. - 0031-9007 .- 1079-7114. ; 104:6, s. 061802-
  • Journal article (peer-reviewed)abstract
    • We combine searches by the CDF and D0 Collaborations for a Higgs boson decaying to W+W-. The data correspond to an integrated total luminosity of 4.8 (CDF) and 5.4 (D0) fb(-1) of p (p) over bar collisions at root s = 1.96 TeV at the Fermilab Tevatron collider. No excess is observed above background expectation, and resulting limits on Higgs boson production exclude a standard model Higgs boson in the mass range 162-166 GeV at the 95% C.L.
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6.
  • Ramdas, S., et al. (author)
  • A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids
  • 2022
  • In: American Journal of Human Genetics. - : Elsevier BV. - 0002-9297 .- 1537-6605. ; 109:8, s. 1366-1387
  • Journal article (peer-reviewed)abstract
    • A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology.
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7.
  • Abazov, V. M., et al. (author)
  • The upgraded DO detector
  • 2006
  • In: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 565:2, s. 463-537
  • Journal article (peer-reviewed)abstract
    • The DO experiment enjoyed a very successful data-collection run at the Fermilab Tevatron collider between 1992 and 1996. Since then, the detector has been upgraded to take advantage of improvements to the Tevatron and to enhance its physics capabilities. We describe the new elements of the detector, including the silicon microstrip tracker, central fiber tracker, solenoidal magnet, preshower detectors, forward muon detector, and forward proton detector. The uranium/liquid -argon calorimeters and central muon detector, remaining from Run 1, are discussed briefly. We also present the associated electronics, triggering, and data acquisition systems, along with the design and implementation of software specific to DO.
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8.
  • Ablikim, M., et al. (author)
  • An improved limit for Gamma(ee) of X(3872) and Gamma(ee) measurement of psi(3686)
  • 2015
  • In: Physics Letters B. - : Elsevier BV. - 0370-2693 .- 1873-2445. ; 749, s. 414-420
  • Journal article (peer-reviewed)abstract
    • Using the data sets taken at center-of-mass energies above 4 GeV by the BESIII detector at the BEPCII storage ring, we search for the reaction e(+)e(-) -> gamma(ISR) X(3872) -> gamma(ISR)pi(+)pi(-) J/psi via the Initial State Radiation technique. The production of a resonance with quantum numbers J(PC) = 1(++) such as the X(3872) via single photon e(+)e(-) annihilation is forbidden, but is allowed by a next-to-leading order box diagram. We do not observe a significant signal of X(3872), and therefore give an upper limit for the electronic width times the branching fraction Gamma B-X(3872)(ee)(X(3872) -> pi(+)pi(-) J/psi) < 0.13 eVat the 90% confidence level. This measurement improves upon existing limits by a factor of 46. Using the same final state, we also measure the electronic width of the psi(3686) to be Gamma(psi)(ee)(3686) ee = 2213 +/- 18(stat) +/- 99(sys) eV.
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9.
  • Ablikim, M., et al. (author)
  • Evidence for e(+)e(-)->gamma chi c1,2 at center-of-mass energies from 4.009 to 4.360 GeV
  • 2015
  • In: Chinese Physics C. - : IOP Publishing. - 1674-1137 .- 2058-6132. ; 39:4
  • Journal article (peer-reviewed)abstract
    • Using data samples collected at center-of-mass energies of root s=4.009, 4.230, 4.260, and 4.360 GeV with the BESIII detector operating at the BEPCII collider, we perform a search for the process e(+)e(-)->gamma chi(cJ) (J=0, 1, 2) and find evidence for e(+)e(-)->gamma chi(c1) and e(+)e(-)->gamma chi(c2) with statistical significances of 3.0 sigma and 3.4 sigma, respectively. The Born cross sections sigma(B)(e(+)e(-)->gamma chi(cJ)), as well as their upper limits at the 90% confidence level (C.L.) are determined at each center-of-mass energy.
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10.
  • Ablikim, M., et al. (author)
  • Measurement of B(psi(3770) -> gamma chi(c1)) and search for psi(3770) -> gamma chi(c2)
  • 2015
  • In: Physical Review D. - 1550-7998 .- 1550-2368. ; 91:9
  • Journal article (peer-reviewed)abstract
    • We report a measurement of the branching fraction for psi(3770) -> gamma chi(c1) and search for the transition psi(3770) -> gamma chi(c2) based on 2.92 fb(-1) of e(+)e(-) data accumulated at root s = 3.773 GeV with the BESIII detector at the BEPCII collider. We measure B(psi(3770) -> gamma chi(c1)) = (2.48 +/- 0.15 +/- 0.23) x 10(-3), which is the most precise measurement to date. The upper limit on the branching fraction of psi(3770) -> gamma chi(c2) at a 90% confidence level is B(psi(3770) -> gamma chi(c2)) < 0.64 x 10(-3). The corresponding partial widths are Gamma(psi(3770) -> gamma chi(c1)) = (67.5 +/- 4.1 +/- 6.7)keV and Gamma(psi(3770) -> gamma chi(c2)) < 17.4 keV.
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  • Result 1-10 of 322
Type of publication
journal article (318)
research review (2)
other publication (1)
conference paper (1)
Type of content
peer-reviewed (319)
other academic/artistic (3)
Author/Editor
Zeng, Y. (156)
Cai, H. (156)
Xu, L. (153)
Johansson, Tord (151)
Jin, S. (150)
Lu, Y (149)
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Ouyang, Q. (148)
Gao, Y. (148)
Qi, M. (148)
Wang, Z. (148)
Yang, L. (148)
Chen, H. S. (148)
Liu, Fang (148)
Liu, X (147)
Cetin, S. A. (147)
Fang, Y. (147)
Zhemchugov, A. (147)
Zhou, L. (147)
Huang, G. S. (147)
Liu, Q. (147)
Wu, Z. (147)
Cai, X. (147)
Wang, D. (147)
Wang, M. (147)
Zhu, Y. C. (147)
..., Wiedner U. (147)
Ablikim, M. (147)
Ban, Y. (147)
Chen, Y. B. (147)
Deng, Z. Y. (147)
Fang, J. (147)
Fang, S. S. (147)
Fu, C. D. (147)
Gu, Y. T. (147)
Harris, F. A. (147)
He, K. L. (147)
Heng, Y. K. (147)
Hu, H. M. (147)
Hu, T. (147)
Huang, X. T. (147)
Ji, X. B. (147)
Jiang, X. S. (147)
Li, W. D. (147)
Li, W. G. (147)
Li, X. L. (147)
Li, X. N. (147)
Li, X. Q. (147)
Liang, H. (147)
Liang, Y. F. (147)
Liu, C. X. (147)
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Karolinska Institutet (111)
Lund University (70)
University of Gothenburg (31)
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