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Institution

Norwegian Institute of Public Health

GovernmentOslo, Norway
About: Norwegian Institute of Public Health is a government organization based out in Oslo, Norway. It is known for research contribution in the topics: Population & Pregnancy. The organization has 2038 authors who have published 8190 publications receiving 362847 citations. The organization is also known as: Folkehelseinstituttet & FHI.


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Journal ArticleDOI
Bernadette Thomas1, Bernadette Thomas2, Kunihiro Matsushita3, Kalkidan Hassen Abate4, Ziyad Al-Aly5, Johan Ärnlöv6, Johan Ärnlöv7, Kei Asayama8, Robert C. Atkins9, Alaa Badawi10, Alaa Badawi11, Shoshana H. Ballew3, Amitava Banerjee12, Lars Barregard13, Elizabeth Barrett-Connor, Sanjay Basu14, Aminu K. Bello15, Isabela M. Benseñor16, Jaclyn Bergstrom, Boris Bikbov, Christopher D. Blosser2, Hermann Brenner17, Juan Jesus Carrero6, Steve Chadban18, Steve Chadban19, Massimo Cirillo20, Monica Cortinovis21, Karen J. Courville21, Lalit Dandona1, Lalit Dandona22, Rakhi Dandona1, Rakhi Dandona22, Kara Estep1, João C. Fernandes23, Florian Fischer24, Caroline S. Fox, Ron T. Gansevoort25, Philimon Gona26, Orlando M. Gutiérrez, Samer Hamidi27, Sarah Wulf Hanson1, Jonathan Himmelfarb2, Simerjot K. Jassal28, Sun Ha Jee29, Vivekanand Jha30, Vivekanand Jha31, Aida Jimenez-Corona, Jost B. Jonas32, Andre Pascal Kengne33, Andre Pascal Kengne34, Yousef Khader35, Young-Ho Khang36, Yun Jin Kim37, Barbara E.K. Klein, Ronald Klein, Yoshihiro Kokubo, Dhaval Kolte38, Kristine E. Lee39, Andrew S. Levey40, Yongmei Li41, Paulo A. Lotufo16, Hassan Magdy Abd El Razek, Walter Mendoza42, Hirohito Metoki43, Yejin Mok29, Isao Muraki, Paul Muntner, Hiroyuki Noda44, Takayoshi Ohkubo8, Alberto Ortiz, Norberto Perico21, Kevan R. Polkinghorne45, Kevan R. Polkinghorne46, Rajaa Al-Radaddi, Giuseppe Remuzzi47, Giuseppe Remuzzi21, Gregory A. Roth1, Dietrich Rothenbacher48, Michihiro Satoh43, Kai-Uwe Saum17, Monika Sawhney49, Ben Schöttker17, Anoop Shankar, Michael G. Shlipak41, Diego Augusto Santos Silva50, Hideaki Toyoshima, Kingsley N. Ukwaja, Mitsumasa Umesawa51, Stein Emil Vollset52, Stein Emil Vollset53, Stein Emil Vollset1, David G. Warnock54, Andrea Werdecker, Kazumasa Yamagishi55, Yuichiro Yano56, Naohiro Yonemoto57, Maysaa El Sayed Zaki, Mohsen Naghavi1, Mohammad H. Forouzanfar1, Christopher J L Murray1, Josef Coresh3, Theo Vos1 
Institute for Health Metrics and Evaluation1, University of Washington2, Johns Hopkins University3, Jimma University4, Washington University in St. Louis5, Karolinska Institutet6, Dalarna University7, Teikyo University8, Baker IDI Heart and Diabetes Institute9, University of Toronto10, Public Health Agency of Canada11, University College London12, University of Gothenburg13, Stanford University14, University of Alberta15, University of São Paulo16, German Cancer Research Center17, University of Sydney18, Royal Prince Alfred Hospital19, University of Salerno20, Mario Negri Institute for Pharmacological Research21, Public Health Foundation of India22, Catholic University of Portugal23, Bielefeld University24, University Medical Center Groningen25, University of Massachusetts Boston26, Hamdan bin Mohammed e-University27, University of California, San Diego28, Yonsei University29, University of Oxford30, The George Institute for Global Health31, Heidelberg University32, South African Medical Research Council33, University of Cape Town34, Jordan University of Science and Technology35, Seoul National University36, Southern University College37, Brown University38, University of Wisconsin-Madison39, Tufts Medical Center40, San Francisco VA Medical Center41, United Nations Population Fund42, Tohoku University43, Osaka University44, Monash University45, Monash Medical Centre46, University of Milan47, University of Ulm48, Marshall University49, Universidade Federal de Santa Catarina50, Ibaraki Prefectural University of Health Sciences51, University of Bergen52, Norwegian Institute of Public Health53, University of Alabama at Birmingham54, University of Tsukuba55, Northwestern University56, Kyoto University57
TL;DR: By 2013, cardiovascular deaths attributed to reduced G FR outnumbered ESRD deaths throughout the world, and reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose as a risk factor for disability-adjusted life years in both developed and developing world regions.
Abstract: The burden of premature death and health loss from ESRD is well described. Less is known regarding the burden of cardiovascular disease attributable to reduced GFR. We estimated the prevalence of reduced GFR categories 3, 4, and 5 (not on RRT) for 188 countries at six time points from 1990 to 2013. Relative risks of cardiovascular outcomes by three categories of reduced GFR were calculated by pooled random effects meta-analysis. Results are presented as deaths for outcomes of cardiovascular disease and ESRD and as disability-adjusted life years for outcomes of cardiovascular disease, GFR categories 3, 4, and 5, and ESRD. In 2013, reduced GFR was associated with 4% of deaths worldwide, or 2.2 million deaths (95% uncertainty interval [95% UI], 2.0 to 2.4 million). More than half of these attributable deaths were cardiovascular deaths (1.2 million; 95% UI, 1.1 to 1.4 million), whereas 0.96 million (95% UI, 0.81 to 1.0 million) were ESRD-related deaths. Compared with metabolic risk factors, reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose, and similarly with high total cholesterol as a risk factor for disability-adjusted life years in both developed and developing world regions. In conclusion, by 2013, cardiovascular deaths attributed to reduced GFR outnumbered ESRD deaths throughout the world. Studies are needed to evaluate the benefit of early detection of CKD and treatment to decrease these deaths.

159 citations

Journal ArticleDOI
TL;DR: Long-term follow-up provides no evidence that heavy smokers who cut down their daily cigarette consumption by >50% reduce their risk of premature death significantly, and may give people false expectations to advise that reduction in consumption is associated with reduction in harm.
Abstract: Objective: To determine the risk of dying from specified smoking-related diseases and from any cause in heavy smoking men and women (⩾15 cigarettes/day), who reduced their daily cigarette consumption by >50%. Design: A prospective cohort study. Setting: Three counties in Norway. Participants: 24 959 men and 26 251 women, aged 20–49 years, screened for risk factors of cardiovascular disease in the mid-1970s, screened again after 3–13 years, and followed up throughout 2003. Outcomes: Absolute mortality and relative risks adjusted for confounding variables, of dying from all causes, cardiovascular disease, ischaemic heart disease, all smoking-related cancer and lung cancer. Results: With sustained heavy smokers as reference, the smokers of both sexes who reduced their daily consumption (reducers) had the following adjusted relative risks (95% confidence interval (CI)): of dying from any cause, 1.02 (0.84 to 1.22); cardiovascular disease, 1.02 (0.75 to 1.39); ischaemic heart disease, 0.96 (0.65 to 1.41); smoking-related cancer, 0.86 (0.57 to 1.29); and lung cancer, 0.66 (0.36 to 1.21). The difference in cigarette consumption between two examinations was not a significant predictor of death from any of the causes. A follow-up from a third screening of the subgroup who were reducers at both second and third examinations (sustained reducers) did not have a lower risk than those who were heavy smokers at all three examinations. Conclusions: Long-term follow-up provides no evidence that heavy smokers who cut down their daily cigarette consumption by >50% reduce their risk of premature death significantly. In health education and patient counselling, it may give people false expectations to advise that reduction in consumption is associated with reduction in harm.

159 citations

Journal ArticleDOI
TL;DR: In this paper, the latent factor structure of a broad set of common Axis I disorders and all Axis II personality disorders was determined and a four-factor model was used to identify clusters of disorders and account for comorbidity within and between axes.
Abstract: The Diagnostic and Statistical Manual (4th ed. [DSM-IV]; American Psychiatric Association, 1994) distinction between clinical disorders on Axis I and personality disorders on Axis II has become increasingly controversial. Although substantial comorbidity between axes has been demonstrated, the structure of the liability factors underlying these two groups of disorders is poorly understood. The aim of this study was to determine the latent factor structure of a broad set of common Axis I disorders and all Axis II personality disorders and thereby to identify clusters of disorders and account for comorbidity within and between axes. Data were collected in Norway, through a population-based interview study (N = 2,794 young adult twins). Axis I and Axis II disorders were assessed with the Composite International Diagnostic Interview (CIDI) and the Structured Interview for DSM-IV Personality (SIDP-IV), respectively. Exploratory and confirmatory factor analyses were used to investigate the underlying structure of 25 disorders. A four-factor model fit the data well, suggesting a distinction between clinical and personality disorders as well as a distinction between broad groups of internalizing and externalizing disorders. The location of some disorders was not consistent with the DSM-IV classification; antisocial personality disorder belonged primarily to the Axis I externalizing spectrum, dysthymia appeared as a personality disorder, and borderline personality disorder appeared in an interspectral position. The findings have implications for a meta-structure for the DSM.

159 citations

Journal ArticleDOI
TL;DR: Women and those over 50 years of age had the highest rates of contact with health care prior to suicide, and the importance of placing suicide prevention strategies and interventions within the primary health care setting is highlighted.
Abstract: Aim: To examine rates of contact with primary and mental health care prior to suicide in men and women and across a range of age categories. Method: The authors performed a systematic review of 44 ...

159 citations

Journal ArticleDOI
TL;DR: A novel variable number of tandem repeats (VNTR)-based fingerprinting method was capable of high discrimination within the homogeneous serovar Typhimurium DT104 phage type and can be used to trace outbreaks and to monitor DT104 as well as other phage types.
Abstract: Seventy-eight human and environmental strains of Salmonella enterica subsp. enterica serovar Typhimurium, as well as 18 isolates of other Salmonella serovars and 6 isolates of Escherichia coli, were subjected to a novel variable number of tandem repeats (VNTR)-based fingerprinting method that showed high discrimination and reproducibility for typing serovar Typhimurium isolates. The method is based on capillary separation of PCR products from fluorescence-labeled VNTR in the serovar Typhimurium genome. The serovar Typhimurium isolates displayed 54 VNTR patterns, and the VNTR assay correctly identified strains from a well-characterized outbreak. Among 37 serovar Typhimurium phage type DT104 isolates, 28 distinct VNTR patterns were found. This VNTR-based method is fast and suitable for complete automation. Our VNTR-based method was capable of high discrimination within the homogeneous serovar Typhimurium DT104 phage type and can be used to trace outbreaks and to monitor DT104 as well as other phage types. The VNTR assay was compared to XbaI pulsed-field gel electrophoresis, amplified fragment length polymorphism analysis, integron-cassette profiles and gene PCR of intI1, qacEΔ1, sulI1, and floR. The VNTR assay showed greatly improved resolution compared to all other tested methods in this study.

159 citations


Authors

Showing all 2077 results

NameH-indexPapersCitations
Tien Yin Wong1601880131830
Debbie A Lawlor1471114101123
Holger J. Schünemann141810113169
Gideon Koren129199481718
Bert Brunekreef12480681938
Stein Emil Vollset119399110936
Ulf Ekelund11561170618
Andrew D Oxman110342138279
Adrian Covaci10074938039
Elie A. Akl9548258031
Peter C Gøtzsche90413147009
Peter Gill8950235160
Allen J. Wilcox8837226806
Oskar Hansson8849626159
Jay R. Harris8328224560
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202272
2021917
2020746
2019649
2018588