Evidence map›Paper›PMID 27733284›Full record

ArticleLancet (London, England)2016

Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

GBD 2015 Risk Factors Collaborators

Erratum issued 5 registry-linked trialsOpen access · hybridAbstract readComparative Study
In one paragraph

Article in Lancet (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to 5 registered trials, which are not on this map. Cited by 2,000 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,000citing papers in PubMed, 10 pooled it
1583.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04629261 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Effects of the Mexico City´s ECOBICI Program on Health Indicators and Physical Activity Levels

TypeinterventionalSponsorInstituto Nacional de Salud Publica, MexicoRan2021 to 2021Enrolled240ConditionsPhysical ActivityArmsUse of ECOBICI (public bicycle sharing program)
NCT04790526 nacompletednot on this mapstarted 2021, after this paper: background citation

Dose Response of Eccentric Exercises on Glycemic Control in Type ii Diabetes Mellitus

TypeinterventionalSponsorRiphah International UniversityRan2021 to 2023Enrolled59ConditionsType II Diabetes MellitusArmsEccentric Exercises Dose
NCT05508672 nacompletednot on this mapstarted 2023, after this paper: background citation

Community-Centered eHealth Smoking Cessation Intervention Based on the "Smoking Rationalization Beliefs" Framework for Chinese Male Smokers

TypeinterventionalSponsorDuke Kunshan UniversityRan2023 to 2023Enrolled60ConditionsSmoking Cessation, Lifestyle, HealthyArmsCommunity-Centered eHealth Smoking Cessation Intervention (CCeSCI), Traditional "smoking is harmful" education
NCT06008912 nacompletednot on this mapstarted 2023, after this paper: background citation

Investigation of the Effect of Calisthenic Exercise Training Combined With Aerobic Exercise on Exercise Tolerance, Physical Fitness and Plasma Lipid Profile in Patients With Dyslipidemia

TypeinterventionalSponsorÇankırı Karatekin UniversityRan2023 to 2024Enrolled39ConditionsDyslipidemiasArmsCalisthenic Exercises, Aerobic Exercises
NCT06478173 nacompletednot on this mapstarted 2024, after this paper: background citation

The Effect of Complex Exercise Training on General Health Status in Patients with Type 2 Diabetes

TypeinterventionalSponsorUniversity of the Faroe IslandsRan2024 to 2024Enrolled126ConditionsType2diabetesArmsExercise training
3 · Its place in the literature

Who cites it

2,000 citing papers in PubMed, 10 syntheses or guidelines pooled it, 7,746 citations in OpenAlex.

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  13. Associations of Urine Biomarkers During Ambulatory Acute Kidney Injury With Subsequent Recovery in Kidney Function: Findings From the SPRINT Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
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  17. Influence ofAnnals of medicine · 2026
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1,940 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 20 institutions in 62 countries.

GBD 2015 Risk Factors Collaborators
University of Washington · USHarvard University Press · USNational Institutes of Health · USEmory University · USKarolinska Institutet · SEThe University of Melbourne · AUUniversity of Oxford · GBAll India Institute of Medical Sciences · INBielefeld University · DEBoston University · USHacettepe University · TRImperial College London · GBKwame Nkrumah University of Science and Technology · GHMinistry of Health · TRNorwegian Institute of Public Health · NOThe University of Queensland · AUThe University of Sydney · AUUniversidad de la República de Uruguay · UYUniversity of Liverpool · GBUniversity of Toronto · CA

Funding

Wave IV Data CollectionP01HD031921 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HARRIS, KATHLEEN MULLAN · 1994 to 2020
$86.1M
Understanding and Improving Healthcare Decision-Making and Outcomes for People Living with Alzheimer's Disease and Related DementiasP01AG005842 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI KOSALI ILAYPERUMA SIMON · 1986 to 2026
$56.5M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
RESEARCH IN ENVIRONMENTAL HEALTH SCIENCES (CENTER GRANT)P30ES000260 · NIEHS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ZELIKOFF, JUDITH TERRY · 1985 to 2020
$26.1M
WEALTH DISPARITIES AMONG MATURE AND OLDER ADULTSP01AG008291 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1989 to 2018
$19.4M
RAND CENTER FOR THE STUDY OF AGINGP30AG012815 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 1999 to 2020
$13.7M
Health and Retirement Survey for IndiaR21AG032572 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI BLOOM, DAVID E · 2008 to 2009
$467k
DEVELOPING AN ISRAELI VERSION OF THE HRS/SHARE PROJECTR21AG025169 · NIA · HEBREW UNIVERSITY OF JERUSALEM · PI LITWIN, HOWARD · 2004 to 2006
$297k
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
Cancer Research UK 21133DBT-Wellcome Trust India Alliance IA/CPHI/14/1/501514Department of Health RP-PG-0407-10184Medical Research Council MR/K010174/1NIA NIH HHS P01 AG005842NIA NIH HHS P01 AG008291NIA NIH HHS P30 AG012815NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS R21 AG025169NIA NIH HHS R21 AG032572NICHD NIH HHS P01 HD031921NIEHS NIH HHS P30 ES000260United States GNT1042600United States IAG BSR06-11United States OGHA 04-064United States U01 AG09740-13S2United States Y1 AG-4553-01Wellcome Trust 095066
6 · The paper itself

Abstract

backgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context.

methodsWe used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI).

findingsBetween 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6-58·8) of global deaths and 41·2% (39·8-42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa.

interpretationDeclines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden.

fundingBill & Melinda Gates Foundation.

Indexed as

Cost of IllnessEnvironmental ExposureGlobal HealthLife ExpectancyOccupational ExposureRisk-TakingAfrica, NorthernAfrica South of the SaharaAir Pollution, IndoorAlcohol DrinkingBiomarkersBlood GlucoseBody Mass IndexCholesterolHumansHypertensionBiomarkersBlood GlucoseCholesterolSodium, Dietary

Identifiers

PMID27733284
PMCPMC5388856
OpenAlexW1617145133

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.