Joseph Murray

Prof. Joseph Murray


Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2015 in The Lancet
Verified
Journal Article
Closed access
TVTheo Vos
Theo Vos
RBRyan M Barber
Ryan M Barber
BBBrad Bell
Brad Bell
ABAmelia Bertozzi-Villa
Amelia Bertozzi-Villa
SBStan Biryukov
Stan Biryukov
CMChristopher Jl Murray
Christopher Jl Murray

1 November 2015 in The Lancet
Verified
Journal Article
Open access
GCGbd 2013 Dalys And Hale Collaborators
Gbd 2013 Dalys And Hale Collaborators
CMChristopher J L Murray
Christopher J L Murray
RBRyan M Barber
Ryan M Barber
KFKyle J Foreman
Kyle J Foreman
AOAyse Abbasoglu Ozgoren
Ayse Abbasoglu Ozgoren
TVTheo Vos
Theo Vos
The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition--in which increasing sociodemographic status brings structured change in disease burden--is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Bill & Melinda Gates Foundation.

1 March 2016 in JAMA Pediatrics
Verified
Journal Article
Open access
PDF file
GCGlobal Burden of Disease Pediatrics Collaboration
Global Burden of Disease Pediatrics Collaboration
HKHmwe H. Kyu
Hmwe H. Kyu
CPChristine Pinho
Christine Pinho
JWJoseph A. Wagner
Joseph A. Wagner
JBJonathan C. Brown
Jonathan C. Brown
TVTheo Vos
Theo Vos
The current literature focuses on mortality rates and time trends among children younger than 5 years. There is little comparable information on the fatal and nonfatal burden of diseases and injuries among older children and adolescents. Children and adolescents constitute about a third of the world’s population and their health status is important for every country and society.

1 March 2012 in Psychological Bulletin
Verified
Journal Article
Open access
JMJoseph Murray
Joseph Murray
DFDavid P. Farrington
David P. Farrington
ISIvana Sekol
Ivana Sekol
Unprecedented numbers of children experience parental incarceration worldwide. Families and children of prisoners can experience multiple difficulties after parental incarceration, including traumatic separation, loneliness, stigma, confused explanations to children, unstable childcare arrangements, strained parenting, reduced income, and home, school, and neighborhood moves. Children of incarcerated parents often have multiple, stressful life events before parental incarceration. Theoretically, children with incarcerated parents may be at risk for a range of adverse behavioral outcomes. A systematic review was conducted to synthesize empirical evidence on associations between parental incarceration and children's later antisocial behavior, mental health problems, drug use, and educational performance. Results from 40 studies (including 7,374 children with incarcerated parents and 37,325 comparison children in 50 samples) were pooled in a meta-analysis. The most rigorous studies showed that parental incarceration is associated with higher risk for children's antisocial behavior, but not for mental health problems, drug use, or poor educational performance. Studies that controlled for parental criminality or children's antisocial behavior before parental incarceration had a pooled effect size of OR = 1.4 (p < .01), corresponding to about 10% increased risk for antisocial behavior among children with incarcerated parents, compared with peers. Effect sizes did not decrease with number of covariates controlled. However, the methodological quality of many studies was poor. More rigorous tests of the causal effects of parental incarceration are needed, using randomized designs and prospective longitudinal studies. Criminal justice reforms and national support systems might be needed to prevent harmful consequences of parental incarceration for children.

1 October 2016 in The Lancet
Verified
Journal Article
Open access
SLStephen S Lim
Stephen S Lim
KAKate Allen
Kate Allen
ZBZulfiqar A Bhutta
Zulfiqar A Bhutta
LDLalit Dandona
Lalit Dandona
MFMohammad H Forouzanfar
Mohammad H Forouzanfar
CMChristopher J L Murray
Christopher J L Murray
In September, 2015, the UN General Assembly established the Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets, and 230 indicators leading up to 2030. We provide an analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015). We applied statistical methods to systematically compiled data to estimate the performance of 33 health-related SDG indicators for 188 countries from 1990 to 2015. We rescaled each indicator on a scale from 0 (worst observed value between 1990 and 2015) to 100 (best observed). Indices representing all 33 health-related SDG indicators (health-related SDG index), health-related SDG indicators included in the Millennium Development Goals (MDG index), and health-related indicators not included in the MDGs (non-MDG index) were computed as the geometric mean of the rescaled indicators by SDG target. We used spline regressions to examine the relations between the Socio-demographic Index (SDI, a summary measure based on average income per person, educational attainment, and total fertility rate) and each of the health-related SDG indicators and indices. In 2015, the median health-related SDG index was 59·3 (95% uncertainty interval 56·8-61·8) and varied widely by country, ranging from 85·5 (84·2-86·5) in Iceland to 20·4 (15·4-24·9) in Central African Republic. SDI was a good predictor of the health-related SDG index (r2=0·88) and the MDG index (r2=0·92), whereas the non-MDG index had a weaker relation with SDI (r2=0·79). Between 2000 and 2015, the health-related SDG index improved by a median of 7·9 (IQR 5·0-10·4), and gains on the MDG index (a median change of 10·0 [6·7-13·1]) exceeded that of the non-MDG index (a median change of 5·5 [2·1-8·9]). Since 2000, pronounced progress occurred for indicators such as met need with modern contraception, under-5 mortality, and neonatal mortality, as well as the indicator for universal health coverage tracer interventions. Moderate improvements were found for indicators such as HIV and tuberculosis incidence, minimal changes for hepatitis B incidence took place, and childhood overweight considerably worsened. GBD provides an independent, comparable avenue for monitoring progress towards the health-related SDGs. Our analysis not only highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient. Although considerable progress on the health-related MDG indicators has been made, these gains will need to be sustained and, in many cases, accelerated to achieve the ambitious SDG targets. The minimal improvement in or worsening of health-related indicators beyond the MDGs highlight the need for additional resources to effectively address the expanded scope of the health-related SDGs. Bill & Melinda Gates Foundation.

1 October 2010 in The Canadian Journal of Psychiatry
Verified
Journal Article
Open access
PDF file
JMJoseph Murray
Joseph Murray
DFDavid P Farrington
David P Farrington
Conduct disorder (CD) and delinquency are behavioural problems involving violation of major rules, societal norms, and laws. The prevalence of CD and delinquency peaks in mid-to-late adolescence. Both show considerable continuity over time. The most important studies of CD and delinquency have prospective longitudinal designs, large community samples, repeated personal interviews, measures of many possible risk factors, and both self-reports and official measures of antisocial behaviour. The most important risk factors that predict CD and delinquency include impulsiveness, low IQ and low school achievement, poor parental supervision, punitive or erratic parental discipline, cold parental attitude, child physical abuse, parental conflict, disrupted families, antisocial parents, large family size, low family income, antisocial peers, high delinquency rate schools, and high crime neighbourhoods. However, for many risk factors, it is not known whether they have causal effects. Future research should examine changes in risk factors and changes in CD and delinquency to identify the risk factors that are causes and those that are merely markers of other risk mechanisms.