OECD Behavioral Health Risk Factors Exposure Levels

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This dataset contains statistics regarding the levels of exposure (consumption) to tobacco, alcohol, foods, macronutrients and calories for country members and partners of OECD (The Organization for Economic Co-operation and Development) and for countries in accession negotiations with OECD. The exposure levels to health risk or protection factors statistics cover the period 1960-2016.

Complexity

The dataset is provided by OECD (The Organization for Economic Co-operation and Development) whose mission is to promote policies that will improve the economic and social well-being of people around the world. OECD’s work is based on continued monitoring of events in member countries as well as outside OECD area, and includes regular projections of short and medium-term economic developments. The OECD Secretariat collects and analyses data, after which committees discuss policy regarding this information, the Council makes decisions, and then governments implement recommendations. The OECD Health Datasets offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool to carry out comparative analyses and draw lessons from international comparisons of diverse health systems.

The quantity of tobacco consumed represents the annual consumption of tobacco items (e.g. cigarettes, cigars) in grams per person aged 15 years old or more. The methodology to convert tobacco items into grams may differ across countries. Typically a cigarette weighs approximately 1 gram of which the tobacco content can vary between 65-100% depending on the type of cigarette; a cigar weighs approximately 2 grams and contains a similar proportion of tobacco as a cigarette. Time series are completed based on national data for selected years. On the other side, the number of cigarettes smoked by a smoker per day is based on survey data (self-reported) provided by every country.

The alcohol consumption data are based on the annual consumption of pure alcohol in liters, per person, aged 15 years old and over. Methodology to convert alcoholic drinks to pure alcohol may differ across countries. Typically beer is weighted as 4-5%, wine as 11-16% and spirits as 40% of pure alcohol equivalent. The primary source of data is World Health Organization (WHO) through the Global Information System on Alcohol and Health (GISAH). Other countries have supplied data directly. According to WHO GISAH methodology for collecting data about alcohol consumption specifies the recorded alcohol per capita (persons 15 years and older) consumption of pure alcohol is calculated as the sum of beverage specific alcohol consumption of pure alcohol (beer, wine, spirits, other) from different sources, as follows:

– The first priority in the decision tree is given to government statistics
– Second are country-specific alcohol industry statistics in the public domain (Canadean, International Wine and Spirit Research, International Organisation of Vine and Wine, Wine Institute, historically World Drink Trends)
– And third is the Food and Agriculture Organization of the United Nations’ statistical database

In order to make the conversion into liters of pure alcohol, the alcohol content (% alcohol by volume) is
considered to be as follows:

– Beer (barley beer 5%)
– Wine (grape wine 12%, must of grape 9%, vermouth 16%)
– Spirits (distilled spirits 40%; spirit-like 30%)
– And others (sorghum, millet, maize beers 5%; cider 5%; fortified wine 17% and 18%; fermented wheat and fermented rice 9%; other fermented beverages 9%)

All food related statistics are based on data from Food and Agriculture Organization of the United Nations.

Breaks in the time-related continuity of data on which the calculated indicators values are based are specified in the content of dataset. There are also specified the cases were the methodology used for data collection was different or if the values are estimated.

Date Created

2017-06-30

Last Modified

2017-06-30

Version

2017-06-30

Update Frequency

Irregular

Temporal Coverage

1960-2016

Spatial Coverage

OECD Members and Partners Countries

Source

John Snow Labs; The Organization for Economic Co-operation and Development;

Source License URL

Source License Requirements

N/A

Source Citation

N/A

Keywords

OECD Health Statistics, OECD Health Indicators, OECD Countries, Behavioral Health Risk Factors, Alcohol Consumption Per Capita, Smoking Statistics, Daily Fat Intake, Daily Sugar Intake, Daily Calorie Intake, Daily Protein Intake

Other Titles

Behavioral Health Risk Factors Levels In OECD Countries And Partners, OECD Behavioral Health Risk Factors Levels Data

NameDescriptionTypeConstraints
YearThe year corresponding to the specified health risk or protection factor indicator leveldaterequired : 1
CountryThe name of the country member or partner of OECD or in accession negotiations with OECDstringrequired : 1
Country_AbbreviationThe abbreviated name of the country member or partner of OECD or in accession negotiations with OECDstringrequired : 1
Country_StatusSpecifies whether the country is member or partner of OECD or has an accession agreement with OECDstringenum : Array required : 1
Health_Risk_Or_Protection_FactorSpecifies the health risk factors or the category of health risk/protection factorsstringenum : Array required : 1
Health_Risk_Or_Protection_Factor_IndicatorSpecifies the indicator through which is measured the health risk/protection factorstringenum : Array required : 1
Indicator_DescriptionDescribes how the indicator is measuredstringenum : Array required : 1
AgeSpecifies the age of the population group for which the behavioral health risk/protection factor indicator was measuredstringenum : Array required : 1
Calculated_Health_Risk_or_Protection_ValueThe calculated or estimated value of the indicatornumberlevel : Ratio
Primary_Data_TypeSpecifies if the primary data was quantitative or qualitative datastringenum : Array required : 1
Additional_NotesAdditional information related to the indicator value or measurementstring-
YearCountryCountry_AbbreviationCountry_StatusHealth_Risk_Or_Protection_FactorHealth_Risk_Or_Protection_Factor_IndicatorIndicator_DescriptionAgeCalculated_Health_Risk_or_Protection_ValuePrimary_Data_TypeAdditional_Notes
1961KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages1.9Quantitative
1962KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages1.9Quantitative
1963KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages1.7Quantitative
1964KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages1.7Quantitative
1965KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages1.8Quantitative
1966KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages2.4Quantitative
1967KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages3.7Quantitative
1968KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages5.1Quantitative
1969KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages7.0Quantitative
1970KoreaKOROECD memberEating habitsSugar supplyKilos per capita per yearAll ages7.6Quantitative