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Institution

University of Sydney

EducationSydney, New South Wales, Australia
About: University of Sydney is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Health care. The organization has 61532 authors who have published 187345 publications receiving 6114218 citations. The organization is also known as: Sydney University & USyd.


Papers
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Journal ArticleDOI
TL;DR: The neural basis of the integration of learning and motivation in choice and decision-making is still controversial and some recent hypotheses relating to this issue are reviewed.

1,498 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of interventions designed to reduce the incidence of falls in elderly people (living in the community, or in institutional or hospital care) were assessed using the Cochrane Bone, Joint and Muscle Trauma Group Specialised Register.
Abstract: BACKGROUND: Approximately 30 per cent of people over 65 years of age and living in the community fall each year; the number is higher in institutions Although less than one fall in 10 results in a fracture, a fifth of fall incidents require medical attention OBJECTIVES: To assess the effects of interventions designed to reduce the incidence of falls in elderly people (living in the community, or in institutional or hospital care) SEARCH STRATEGY: We searched the Cochrane Bone, Joint and Muscle Trauma Group Specialised Register (January 2003), Cochrane Central Register of Controlled Trials (The Cochrane Library, Issue 1, 2003), MEDLINE (1966 to February 2003), EMBASE (1988 to 2003 Week 19), CINAHL (1982 to April 2003), The National Research Register, Issue 2, 2003, Current Controlled Trials (wwwcontrolled-trialscom accessed 11 July 2003) and reference lists of articles No language restrictions were applied Further trials were identified by contact with researchers in the field SELECTION CRITERIA: Randomised trials of interventions designed to minimise the effect of, or exposure to, risk factors for falling in elderly people Main outcomes of interest were the number of fallers, or falls Trials reporting only intermediate outcomes were excluded DATA COLLECTION AND ANALYSIS: Two reviewers independently assessed trial quality and extracted data Data were pooled using the fixed effect model where appropriate MAIN RESULTS: Sixty two trials involving 21,668 people were includedInterventions likely to be beneficial:Multidisciplinary, multifactorial, health/environmental risk factor screening/intervention programmes in the community both for an unselected population of older people (4 trials, 1651 participants, pooled RR 073, 95%CI 063 to 085), and for older people with a history of falling or selected because of known risk factors (5 trials, 1176 participants, pooled RR 086, 95%CI 076 to 098), and in residential care facilities (1 trial, 439 participants, cluster-adjusted incidence rate ratio 060, 95%CI 050 to 073) A programme of muscle strengthening and balance retraining, individually prescribed at home by a trained health professional (3 trials, 566 participants, pooled relative risk (RR) 080, 95% confidence interval (95%CI) 066 to 098) Home hazard assessment and modification that is professionally prescribed for older people with a history of falling (3 trials, 374 participants, RR 066, 95% CI 054 to 081) Withdrawal of psychotropic medication (1 trial, 93 participants, relative hazard 034, 95%CI 016 to 074) Cardiac pacing for fallers with cardioinhibitory carotid sinus hypersensitivity (1 trial, 175 participants, WMD -520, 95%CI -940 to -100) A 15 week Tai Chi group exercise intervention (1 trial, 200 participants, risk ratio 051, 95%CI 036 to 073) Interventions of unknown effectiveness:Group-delivered exercise interventions (9 trials, 1387 participants) Individual lower limb strength training (1 trial, 222 participants) Nutritional supplementation (1 trial, 46 participants) Vitamin D supplementation, with or without calcium (3 trials, 461 participants) Home hazard modification in association with advice on optimising medication (1 trial, 658 participants), or in association with an education package on exercise and reducing fall risk (1 trial, 3182 participants) Pharmacological therapy (raubasine-dihydroergocristine, 1 trial, 95 participants) Interventions using a cognitive/behavioural approach alone (2 trials, 145 participants) Home hazard modification for older people without a history of falling (1 trial, 530 participants) Hormone replacement therapy (1 trial, 116 participants) Correction of visual deficiency (1 trial, 276 participants)Interventions unlikely to be beneficial:Brisk walking in women with an upper limb fracture in the previous two years (1 trial, 165 participants) AUTHORS' CONCLUSIONS: Interventions to prevent falls that are likely to be effective are now available; less is known about their effectiveness in preventing fall-related injuries Costs per fall prevented have been established for four of the interventions and careful economic modelling in the context of the local healthcare system is important Some potential interventions are of unknown effectiveness and further research is indicated Language: en

1,496 citations

Journal ArticleDOI
TL;DR: Simulated data sets were used to test the power and accuracy of Monte Carlo resampling methods in generating statistical thresholds for identifying F0 immigrants in populations with ongoing gene flow, and hence for providing direct, real‐time estimates of migration rates.
Abstract: Genetic assignment methods use genotype likelihoods to draw inference about where individuals were or were not born, potentially allowing direct, real-time estimates of dispersal. We used simulated data sets to test the power and accuracy of Monte Carlo resampling methods in generating statistical thresholds for identifying F0 immigrants in populations with ongoing gene flow, and hence for providing direct, real-time estimates of migration rates. The identification of accurate critical values required that resampling methods preserved the linkage disequilibrium deriving from recent generations of immigrants and reflected the sampling variance present in the data set being analysed. A novel Monte Carlo resampling method taking into account these aspects was proposed and its efficiency was evaluated. Power and error were relatively insensitive to the frequency assumed for missing alleles. Power to identify F0 immigrants was improved by using large sample size (up to about 50 individuals) and by sampling all populations from which migrants may have originated. A combination of plotting genotype likelihoods and calculating mean genotype likelihood ratios (DLR) appeared to be an effective way to predict whether F0 immigrants could be identified for a particular pair of populations using a given set of markers.

1,481 citations

Journal ArticleDOI
TL;DR: There is substantial information on low back pain prevalence and estimates of the point prevalence range from 1.0% to 58.1% (mean: 18.1%; median: 15.0%), and 1 year prevalence from 0.8% to 82.5% ( mean: 38.1; median: 37.4%).
Abstract: Low back pain is an extremely common problem that most people experience at some point in their life. While substantial heterogeneity exists among low back pain epidemiological studies limiting the ability to compare and pool data, estimates of the 1 year incidence of a first-ever episode of low back pain range between 6.3% and 15.4%, while estimates of the 1 year incidence of any episode of low back pain range between 1.5% and 36%. In health facility- or clinic-based studies, episode remission at 1 year ranges from 54% to 90%; however, most studies do not indicate whether the episode was continuous between the baseline and follow-up time point(s). Most people who experience activity-limiting low back pain go on to have recurrent episodes. Estimates of recurrence at 1 year range from 24% to 80%. Given the variation in definitions of remission and recurrence, further population-based research is needed to assess the daily patterns of low back pain episodes over 1 year and longer. There is substantial information on low back pain prevalence and estimates of the point prevalence range from 1.0% to 58.1% (mean: 18.1%; median: 15.0%), and 1 year prevalence from 0.8% to 82.5% (mean: 38.1%; median: 37.4%). Due to the heterogeneity of the data, mean estimates need to be interpreted with caution. Many environmental and personal factors influence the onset and course of low back pain. Studies have found the incidence of low back pain is highest in the third decade, and overall prevalence increases with age until the 60-65 year age group and then gradually declines. Other commonly reported risk factors include low educational status, stress, anxiety, depression, job dissatisfaction, low levels of social support in the workplace and whole-body vibration. Low back pain has an enormous impact on individuals, families, communities, governments and businesses throughout the world. The Global Burden of Disease 2005 Study (GBD 2005) is currently making estimates of the global burden of low back pain in relation to impairment and activity limitation. Results will be available in 2011. Further research is needed to help us understand more about the broader outcomes and impacts from low back pain.

1,465 citations

Journal ArticleDOI
26 Mar 2020-Nature
TL;DR: The discovery of multiple lineages of pangolin coronavirus and their similarity to SARS-CoV-2 suggests that pangolins should be considered as possible hosts in the emergence of new coronaviruses and should be removed from wet markets to prevent zoonotic transmission.
Abstract: The ongoing outbreak of viral pneumonia in China and across the world is associated with a new coronavirus, SARS-CoV-21. This outbreak has been tentatively associated with a seafood market in Wuhan, China, where the sale of wild animals may be the source of zoonotic infection2. Although bats are probable reservoir hosts for SARS-CoV-2, the identity of any intermediate host that may have facilitated transfer to humans is unknown. Here we report the identification of SARS-CoV-2-related coronaviruses in Malayan pangolins (Manis javanica) seized in anti-smuggling operations in southern China. Metagenomic sequencing identified pangolin-associated coronaviruses that belong to two sub-lineages of SARS-CoV-2-related coronaviruses, including one that exhibits strong similarity in the receptor-binding domain to SARS-CoV-2. The discovery of multiple lineages of pangolin coronavirus and their similarity to SARS-CoV-2 suggests that pangolins should be considered as possible hosts in the emergence of new coronaviruses and should be removed from wet markets to prevent zoonotic transmission.

1,461 citations


Authors

Showing all 62240 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
David J. Hunter2131836207050
Rob Knight2011061253207
Eric B. Rimm196988147119
Michael Marmot1931147170338
Nicholas G. Martin1921770161952
Jing Wang1844046202769
David R. Williams1782034138789
Jasvinder A. Singh1762382223370
Rory Collins162489193407
David W. Johnson1602714140778
Tien Yin Wong1601880131830
Barbara E.K. Klein16085693319
Peter B. Reich159790110377
Nicholas J. Talley158157190197
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023316
20221,185
202114,815
202014,013
201912,834
201811,456