The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis. - Wikidata - awgldk - TriplyDB

The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis.

The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis.

http://www.wikidata.org/entity/Q34917515

about

Ion Channels in Obesity: Pathophysiology and Potential Therapeutic Targets Contributions of risk factors and medical care to cardiovascular mortality trends Reward-Induced Eating: Therapeutic Approaches to Addressing Food Cravings The Impact of Dietary and Metabolic Risk Factors on Cardiovascular Diseases and Type 2 Diabetes Mortality in Brazil The use of expensive technologies instead of simple, sound and effective lifestyle interventions: a perpetual delusion Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association 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.High Fasting Plasma Glucose Mortality Effect: A Comparative Risk Assessment in 25-64 Years Old Iranian Population.Health Effects of Overweight and Obesity in 195 Countries over 25 Years Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group (NutriCoDE)Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015 Amorpha fruticosa - A Noxious Invasive Alien Plant in Europe or a Medicinal Plant against Metabolic Disease?A Contemporary Review of the Relationship between Red Meat Consumption and Cardiovascular Risk.Use of Urine Biomarkers to Assess Sodium Intake: Challenges and Opportunities Hypertension and medical expenditure in the Japanese population: Review of prospective studies Estimated Global, Regional, and National Disease Burdens Related to Sugar-Sweetened Beverage Consumption in 2010.Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants.Serum lipid profile and risk of prostate cancer recurrence: Results from the SEARCH database Potential Impact of Time Trend of Life-Style Factors on Cardiovascular Disease Burden in China.Risk factors for cardiovascular disease across the spectrum of older age: the Cardiovascular Health Study.Secular trends in prevalence of overweight and obesity among adults in rural Tianjin, China from 1991 to 2011: a population-based study.Impact of glucose level on morbidity and mortality in elderly with diabetes and pre-diabetes Effects of body mass index, abdominal obesity, and type 2 diabetes on mortality in community-dwelling elderly in Sao Paulo, Brazil: analysis of prospective data from the SABE study.The impact of dietary habits and metabolic risk factors on cardiovascular and diabetes mortality in countries of the Middle East and North Africa in 2010: a comparative risk assessment analysis.Burden of stroke attributable to selected lifestyle risk factors in rural South Africa.Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment.Gender-modulated risk of coronary heart disease, diabetes and coronary mortality among Turks for three major risk factors, and residual adiposity risk.The Danish Cardiovascular Screening Trial (DANCAVAS): study protocol for a randomized controlled trial Bushehr Elderly Health (BEH) Programme, phase I (cardiovascular system).Racial Differences in the Association Between Preoperative Serum Cholesterol and Prostate Cancer Recurrence: Results from the SEARCH Database.Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions Circulating Galectin-3 Is Associated With Cardiometabolic Disease in the Community.Impact of Nonoptimal Intakes of Saturated, Polyunsaturated, and Trans Fat on Global Burdens of Coronary Heart Disease.Health Professional Advice and Adult Action to Reduce Sodium Intake.Estimating change in cardiovascular disease and diabetes burdens due to dietary and metabolic factors in Korea 1998-2011: a comparative risk assessment analysis.Cumulative increased risk of incident type 2 diabetes mellitus with increasing triglyceride glucose index in normal-weight people: The Rural Chinese Cohort Study An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure Burdens of Cardiometabolic Diseases Attributable to Dietary and Metabolic Risks in Korean Adults 2012-2013.Dietary Sodium and Cardiovascular Disease Risk--Measurement Matters.Risk Factors for Stroke among Young-Old and Old-Old Community-Dwelling Adults in Japan: The Ohasama Study.

P2860

Q26749884-CC22EA13-DB18-4CCA-8BDB-77412D9E6599 Q27012592-D9681051-0DB2-43B2-B3C9-090AD63D8227 Q28074195-5834B3C0-C925-4788-B98B-30B92C3283D8 Q28602409-6739B8D2-E745-461F-A00A-50A9CC10E034 Q28654209-CA2E5CE2-4CE6-4F18-B649-2112F458A8AA Q30238784-20ACAF39-FFEB-4EDD-B6F0-E620200A4CF8 Q30353195-3783EEDD-C890-4D63-AFA1-15108BA202A8 Q30383403-BCDD4692-B917-45D0-ADD9-BFCC9EA5108E Q30402965-0A91ABB2-C23E-4406-BE24-853F946D35EE Q33611042-7DB08CBE-C0F1-4CDD-8C98-D3023335CDE8 Q33711028-6946357B-4839-499A-A8A9-566CE1EF0F40 Q33774694-C330898C-13F7-46F6-AB7B-F65596887810 Q33810521-2F2C76A9-E856-402D-94F0-6566CED65214 Q33872013-10FAADC7-379E-419F-9B72-7C5A8560ACB2 Q33948475-74DB1A05-4686-4409-B2B4-3F878F1CD133 Q34044362-7A66B947-C8EB-4AE7-B22E-CE859A924D1C Q34387343-FD60EE5A-6451-47C8-B8A3-E09D3B04DBFB Q34458822-30BE3A2B-BBC8-45B6-97DB-4742B5FC3AE9 Q34537831-CDC7052F-211E-4988-AC31-D1D27C4E0E95 Q34623834-38D265C4-BE76-4172-A693-F936BE7A06B5 Q34784479-99D7E79C-46B0-4721-80B0-6A6B12C5B6BA Q35179251-46342E97-235F-4ED0-8FDA-289EA4BE342C Q35246775-992ACBA5-98EA-4AA5-8751-E2E18CB6519C Q35640512-B8FBEE72-231D-4DB9-9ED1-90065C816E35 Q35921606-22C5D9DA-DB09-48D9-8930-A4A0BFD87A9F Q36067446-B0B683D8-8A9B-4574-8B1F-1393B175CC68 Q36146677-FDA8AE73-183A-486F-95CC-EC9D5C52E5AD Q36348650-A94E22FA-2929-43BD-8FCA-FC03C8E59246 Q36406209-49BE7B3C-B749-4B53-AB00-2A8AF32E8E22 Q36655971-FEB8F442-1C56-4C4A-AD3A-221C1FE7FFBB Q36832499-86DDEBA0-98ED-4D91-BEE1-A1DE601BC74F Q36877555-FE8B5BE7-9F8F-419A-982D-6E3993DF00F2 Q36877867-8E598FFD-052C-491B-B733-256C509139BB Q37371705-207BACEF-6159-4934-BD55-77FFF78392AB Q37576704-4F0C7171-953F-42CD-8CEF-FF6C20ABB3A0 Q37676788-6148FD09-0A76-407F-A8DA-66E2585430CB Q37698769-F7DA15E5-15F2-4A7E-9E84-5EE6E1916982 Q37723294-151DDBDD-AA95-487D-A973-318E9C6E98D4 Q37738736-40E2F47D-6933-4135-90CB-983194407B51 Q37740354-50BD0F10-92BD-43D7-AEE7-2159CFC9DB95

P2860

The age-specific quantitative effects of metabolic risk factors on cardiovascular diseases and diabetes: a pooled analysis.

http://www.wikidata.org/entity/Q34917515

description

2013 nî lūn-bûn

@nan

2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年論文

@yue

2013年論文

@zh-hant

2013年論文

@zh-hk

2013年論文

@zh-mo

2013年論文

@zh-tw

2013年论文

@wuu

name

The age-specific quantitative ...... d diabetes: a pooled analysis.

@ast

The age-specific quantitative ...... d diabetes: a pooled analysis.

@en

The age-specific quantitative ...... d diabetes: a pooled analysis.

@nl

type

label

The age-specific quantitative ...... d diabetes: a pooled analysis.

@ast

The age-specific quantitative ...... d diabetes: a pooled analysis.

@en

The age-specific quantitative ...... d diabetes: a pooled analysis.

@nl

prefLabel

The age-specific quantitative ...... d diabetes: a pooled analysis.

@ast

The age-specific quantitative ...... d diabetes: a pooled analysis.

@en

The age-specific quantitative ...... d diabetes: a pooled analysis.

@nl

P1433

Q34917515-EB8AFF71-B33D-4869-B018-819A2A883C50

P1476

Q34917515-C09C503A-47DD-43BC-BCC7-C5730DEFD0E9

P2093

Q34917515-0307FCB9-1D8A-4D7A-BD82-F44BF3D15E6F

Q34917515-0BD97C85-F9D9-48C8-87A3-43AA66E34BA2

Q34917515-17BF8105-57FF-451E-B5F8-8DEB50C85418

Q34917515-1E631D40-D738-4F62-BE00-4237480818F7

Q34917515-2347D4E5-B6C3-4FAA-BB32-D37885BA16A4

Q34917515-260401A7-F9A5-4FA4-825E-21F6FD28E390

Q34917515-2A440678-FB0D-4E83-B318-C1088C3EF110

Q34917515-367D4724-B8B2-48B9-8105-4F6967C5F1DF

Q34917515-3D018AC9-654C-48D9-B035-DDB1885306DC

Q34917515-56E3A449-A81B-4BAF-B068-1279B80AA1F9

P2860

Q34917515-00942E39-B28C-46BC-9DC7-A02A75FD8ED2

Q34917515-05CD667A-85A9-4E8A-8081-9504AA256EB4

Q34917515-06D9E369-6021-45BF-A121-B685295C82C5

Q34917515-10CE367D-7651-4E76-9667-D63F0E2966D2

Q34917515-16E10C23-0043-4E99-BC90-71A317575236

Q34917515-1A87E6C6-935E-41F0-8419-C1D9B60C1558

Q34917515-1BACEDF8-F425-45D5-BFEC-F73E2AFD7F06

Q34917515-2075F73F-26AE-458B-8228-E9A8073608E3

Q34917515-2A18A159-60BE-4686-831F-89530320229A

Q34917515-300E8981-ED1E-4A6E-B8A4-D2BF4F6C046D

P304

Q34917515-B926CA6C-39E6-44AA-88DB-29AA23E7C64A

P31

Q34917515-E7F98D7C-9817-487C-B292-DDD33298E3C2

P356

Q34917515-A03D920A-C1CD-48A5-BA92-E8B7685D6BCF

P407

Q34917515-336B0903-EBAE-43CB-AE57-DF2811EC5492

P433

Q34917515-7743A90F-AFBB-47A1-B41B-14BD85906742

P478

Q34917515-8A04C5DD-C20B-4865-A137-C199D4C8A404

P50

Q34917515-09DA56E1-069F-419D-A35B-151CC15F8E5F

Q34917515-378D7C98-6798-4AD6-AA39-DF92A9ED35BA

Q34917515-C1AD868C-5A34-4BCA-B2F6-0459D43D7B6E

Q34917515-EAE7D182-E125-4664-971B-1B4695B34E60

P577

Q34917515-47BEA68E-28A4-4768-B818-0CA2192EF0F4

P5875

Q34917515-0D403097-247F-48D0-ADB3-A49DE4276141

P698

Q34917515-142FDDC3-12F8-4F5A-81C2-8AF63CAF3BE2

P921

Q34917515-94A8CBEF-CE15-4501-8726-6515457E923E

P932

Q34917515-109336A2-2EAD-4701-9A5E-BDA27D22AF36

P356

JOURNAL.PONE.0065174

P1433

P1476

The age-specific quantitative ...... d diabetes: a pooled analysis.

@en

P2093

Carlene M M Lawes

http://www.w3.org/2001/XMLSchema#string

David Wormser

http://www.w3.org/2001/XMLSchema#string

Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe (DECODE)

http://www.w3.org/2001/XMLSchema#string

Emerging Risk Factor Collaboration (ERFC)

http://www.w3.org/2001/XMLSchema#string

Gary Whitlock

http://www.w3.org/2001/XMLSchema#string

Gitanjali M Singh

http://www.w3.org/2001/XMLSchema#string

Global Burden of Metabolic Ris ...... Studies Collaboration (APCSC)

http://www.w3.org/2001/XMLSchema#string

Goodarz Danaei

http://www.w3.org/2001/XMLSchema#string

Gretchen A Stevens

http://www.w3.org/2001/XMLSchema#string

Mark Woodward

http://www.w3.org/2001/XMLSchema#string

P2860

Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010

The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors

Body-Mass Index and Mortality among 1.46 Million White Adults

Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies

Effect of intensive glucose lowering treatment on all cause mortality, cardiovascular death, and microvascular events in type 2 diabetes: meta-analysis of randomised controlled trials

Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies

Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies

Cancer incidence and mortality in relation to body mass index in the Million Women Study: cohort study

Comparative quantification of health risks conceptual framework and methodological issues.

Comparative Quantification of Mortality and Burden of Disease Attributable to Selected Risk Factors

P304

e65174

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1371/JOURNAL.PONE.0065174

http://www.w3.org/2001/XMLSchema#string

P407

P433

7

http://www.w3.org/2001/XMLSchema#string

P478

8

http://www.w3.org/2001/XMLSchema#string

P50

Dariush Mozaffarian

Farshad Farzadfar

Emanuele Di Angelantonio

P577

2013-07-30T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

260466145

http://www.w3.org/2001/XMLSchema#string

P698

23935815

http://www.w3.org/2001/XMLSchema#string

P921

cardiovascular disease

P932

3728292

http://www.w3.org/2001/XMLSchema#string