OECD Behavioral Health Risk Factors Exposed Population

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This dataset contains statistics regarding the population exposed to tobacco, foods or overweight/obesity 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 number of daily smokers is defined as the percentage of the population aged 15 years old or over who report that they are daily smokers. International comparability is limited due to the lack of standardization in the measurement of smoking habits in health interview surveys across OECD countries. There is variation in the wording of the question, the response categories and the related administrative methods. The data for the percents of daily smokers are based on national level statistics.

The percent of daily vegetables consumers represents the proportion of the population aged 15 years and above, eating vegetables (excluding potatoes and juice) at least once per day. The percent of daily fruits consumers is proportion of the population aged 15 years and above, eating fruits (excluding juice) at least once per day. The main data sources are national health surveys. A number of European countries have implemented the relevant module recommended in the European Health Interview Survey. Although most countries asked questions of the type “How often do you eat fruits/vegetables”, which provided information on frequency of consumption, some countries (such as Australia, Korea and New Zealand) asked question of the type “How many serves of fruit/vegetables do you usually eat each day”, which provided information on quantity of consumption.

The proportion of overweight or obese population 15 years and above are based on self-reported data (qualitative) and on measured data (quantitative) for body mass index.

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, Smokers Proportion, Vegetables Consumers, Fruits Daily Consumers, Overweight Population, Obese Population, Overweight And Obese Population

Other Titles

Population Exposed To Behavioral Health Risk Factors In OECD Countries, OECD Exposure Rates To Behavioral Health Risk Factors Starting 1960

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
GenderSpecifies the gender of the population group for which the behavioral health risk/protection factor indicator was 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 proportion of population exposed to a health risk/protection factornumberlevel : Ratio
Primary_Data_TypeSpecifies if the primary data was quantitative or qualitative datastringenum : Array
Additional_NotesAdditional information related to the indicator value or measurementstring-
YearCountryCountry_AbbreviationCountry_StatusHealth_Risk_Or_Protection_FactorHealth_Risk_Or_Protection_Factor_IndicatorGenderAgeCalculated_Health_Risk_or_Protection_ValuePrimary_Data_TypeAdditional_Notes
1994ItalyITAOECD memberOverweight/obesityObese populationMalesAll ages7.2Qualitative
1999ItalyITAOECD memberOverweight/obesityObese populationMalesAll ages8.8Qualitative
2000ItalyITAOECD memberOverweight/obesityObese populationMalesAll ages8.8Qualitative
2001ItalyITAOECD memberOverweight/obesityObese populationMalesAll ages8.6Qualitative
2002ItalyITAOECD memberOverweight/obesityObese populationMalesAll ages8.8Qualitative
2003ItalyITAOECD memberOverweight/obesityObese populationMalesAll ages9.3Qualitative
2008KoreaKOROECD memberOverweight/obesityObese populationMalesAll ages2.0Qualitative
2009KoreaKOROECD memberOverweight/obesityObese populationMalesAll ages2.3Qualitative
2010KoreaKOROECD memberOverweight/obesityObese populationMalesAll ages2.3Qualitative
2011KoreaKOROECD memberOverweight/obesityObese populationMalesAll ages2.6Qualitative