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Caloric intake

Global Burden of Disease Study 2021 (GBD 2021) Covariates 1980-2021

Submitted by jmihalik on Wed, 05/15/2024 - 12:34

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General Info

Provider:

  • Institute for Health Metrics and Evaluation (IHME)

Geography:

Coverage type:

  • Global
Time period covered: 
01/1980 - 12/2021
Series or system: 
Global Burden of Disease (GBD)

Data type:

Summary: 

The Global Burden of Disease Study 2021 (GBD 2021), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in models in all components and stages of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for covariates for 1980-2021 used in the GBD 2021 study.

Get Data Files

For additional GBD results and resources, visit the GBD 2021 Data Resources page.

Keywords:

Related publications and visualizations: 
Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021
Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic
GHDx Entry last modified on: May 16, 2024

Belarus Statistical Yearbook 2021

Submitted by fuller14 on Tue, 10/05/2021 - 11:30

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General Info
Original or alternative title: 
Статистический ежегодник Республики Беларусь, 2021

Provider:

Geography:

Coverage type:

  • Country
Time period covered: 
01/2000 - 01/2021
Series or system: 
Belarus Statistical Yearbook

Secondary data type:

  • Nationally representative

Data type:

Summary: 

This statistical yearbook has health indicator figures from 2000 through 2020 including the top ten broad causes of morbidity for the population of Belarus. Included in the report are counts of physicians and beds by medical specialty and the utilization numbers of outpatient facilities. There is also information regarding consumer prices and expenditures.

Keywords:

GHDx Entry last modified on: Aug 3, 2022

Japan National Health and Nutrition Survey 2019

Submitted by kliewerj on Fri, 06/18/2021 - 13:56

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General Info
Original or alternative title: 
国民健康・栄養調査

Provider:

Geography:

Coverage type:

  • Country
Time period covered: 
11/2019 - 11/2019
Series or system: 
Japan National Health and Nutrition Survey

Secondary data type:

  • Cross-sectional
  • Household
  • Individual
  • Interview

Data type:

Summary: 

The 2019 survey was conducted in November, and collected data on health status, physical activity, nutrition, and food intake of the Japanese population. For this year, data on health disparities was a focus of the survey.

Before 2003, the National Health and Nutrition Survey was known as the National Nutrition Survey.

Keywords:

GHDx Entry last modified on: Jul 25, 2023

Belarus Statistical Yearbook 2020

Submitted by fuller14 on Thu, 05/20/2021 - 13:24

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General Info
Original or alternative title: 
Статистический Ежегодник 2020

Provider:

Geography:

Coverage type:

  • Country
Time period covered: 
01/2000 - 01/2020
Series or system: 
Belarus Statistical Yearbook

Secondary data type:

  • Nationally representative

Data type:

Summary: 

This statistical yearbook has health indicator figures from 2000 through 2019 including the top ten broad causes of morbidity for the population of Belarus. Included in the report are counts of physicians and beds by medical specialty and the utilization numbers of outpatient facilities. There is also information regarding consumer prices and expenditures.

Keywords:

GHDx Entry last modified on: May 17, 2022

Global Burden of Disease Study 2019 (GBD 2019) Covariates 1980-2019

Submitted by brentb4 on Tue, 08/04/2020 - 11:06

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General Info

Provider:

  • Institute for Health Metrics and Evaluation (IHME)

Geography:

Coverage type:

  • Global
Time period covered: 
01/1980 - 12/2019
Series or system: 
Global Burden of Disease (GBD)

Data type:

Summary: 

The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in models in all components and stages of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for 771 covariates for 1980-2019 used in the GBD 2019 study.

Get Data Files

For additional GBD results and resources, visit the GBD 2019 Data Resources page.

Keywords:

Related publications and visualizations: 
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019
Global burden of 369 diseases and injuries, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
GHDx Entry last modified on: May 1, 2024

Belarus Statistical Yearbook 2019

Submitted by jrawling on Tue, 10/29/2019 - 11:46

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General Info
Original or alternative title: 
Статистический Ежегодник 2019

Provider:

Geography:

Coverage type:

  • Country
Time period covered: 
01/2000 - 12/2019
Series or system: 
Belarus Statistical Yearbook

Secondary data type:

  • Nationally representative

Data type:

Summary: 

This statistical yearbook has health indicator figures from 2000 through 2019 including the top ten broad causes of morbidity for the population of Belarus. Included in the report are counts of physicians and beds by medical specialty and the utilization numbers of outpatient facilities. There is also information regarding consumer prices and expenditures.

Keywords:

GHDx Entry last modified on: May 17, 2022

United Kingdom National Diet and Nutrition Survey 2012-2014 - Public Health England

Submitted by jfc23 on Tue, 10/16/2018 - 12:05

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General Info
Original or alternative title: 
Results of the National Diet and Nutrition Survey (NDNS) rolling programme for 2012 to 2013 and 2013 to 2014.

Provider:

Geography:

Coverage type:

  • Country
Time period covered: 
01/2012 - 12/2014
Series or system: 
United Kingdom National Diet and Nutrition Survey

Secondary data type:

  • Cross-sectional
  • Household
  • Individual
  • Interview
  • Nationally representative

Data type:

Keywords:

GHDx Entry last modified on: Jan 14, 2022

Global Burden of Disease Study 2017 (GBD 2017) Covariates 1980-2017

Submitted by brentb4 on Fri, 09/28/2018 - 10:20

Nav

General Info

Provider:

  • Institute for Health Metrics and Evaluation (IHME)

Geography:

Coverage type:

  • Global
Time period covered: 
01/1980 - 12/2017
Series or system: 
Global Burden of Disease (GBD)

Data type:

Summary: 

The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries.

Covariates, which are independent variables with a positive or negative relationship to GBD diseases and conditions, are used to inform the estimation process in models in all components and stages of the GBD study. Types of covariates used include socioeconomic, demographic, health system access, climate, and food consumption. This dataset contains data for 334 covariates for 1980-2017 used in the GBD 2017 study.

Download files

Keywords:

Related publications and visualizations: 
Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease 2017
Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017
GHDx Entry last modified on: Mar 3, 2023

India Urban Survey of Diet and Nutritional Status 2015-2016

Submitted by jmihalik on Wed, 02/28/2018 - 16:41

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General Info
Original or alternative title: 
India Urban Nutrition Survey 2015-2016

Provider:

Geography:

  • India (IND)
  • Andaman and Nicobar Islands
  • Andhra Pradesh
  • Assam
  • Bihar
  • Delhi
  • Gujarat
  • Karnataka
  • Kerala
  • Madhya Pradesh
  • Maharashtra
  • Odisha
  • Puducherry
  • Rajasthan
  • Tamil Nadu
  • Uttar Pradesh
  • West Bengal

Coverage type:

  • Subnational
Time period covered: 
01/2015 - 12/2016
Series or system: 
India Survey of Diet and Nutritional Status

Secondary data type:

  • Cross-sectional
  • Household
  • Individual
  • Urban only

Data type:

Summary: 

The 2015-2016 Urban Nutrition Survey collected and assessed data on diet and nutritional status, and the prevalence of obesity, hypertension, diabetes, and dyslipidemia in the urban population of 16 states in India.

Keywords:

GHDx Entry last modified on: Oct 9, 2023

Belarus Statistical Yearbook 2017

Submitted by katelw on Tue, 10/10/2017 - 12:14

Nav

General Info
Original or alternative title: 
Статистический Ежегодник

Provider:

Geography:

Coverage type:

  • Country
Time period covered: 
01/2000 - 12/2017
Series or system: 
Belarus Statistical Yearbook

Secondary data type:

  • Nationally representative

Data type:

Summary: 

This statistical yearbook has health indicator figures from 2000 through 2017 including the top ten broad causes of morbidity for the population of Belarus. Included in the report are counts of physicians and beds by medical specialty and the utilization numbers of outpatient facilities. There is also information regarding consumer prices and expenditures.

Keywords:

GHDx Entry last modified on: May 17, 2022

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