Chronic Disease Risk Factors

Modifiable Risk Factors for Chronic Diseases and Other Leading Causes of Death

By US Open Data Portal, data.gov [source]

About this dataset

This dataset contains data on behaviors that are risk factors for cardiovascular diseases (CVDs) from 2011 to present. It is one of many datasets included in the National Cardiovascular Disease Surveillance System, which offers comprehensive insights into the public health burden of CVDs in America. This dataset collects information on modifiable risk factors for chronic diseases and leading causes of death from the Behavioral Risk Factor Surveillance System (BRFSS). This includes indicators from CDC's Division for Heart Disease and Stroke Prevention, organized by location and indicator with stratifications based on age, sex and race/ethnicity. In providing a detailed picture of these conditions, the system can be effectively used to reduce preventative disease through education, policy changes and other interventions

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How to use the dataset

Research Ideas

Identifying CVD risk factors by demographic, such as age, gender, and ethnicity

Comparing differences in modifiable risk factors (diet, physical activity) between states or regions

Analyzing trends in CVD deaths over time to inform preventive strategies

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Open Database License (ODbL) v1.0

You are free to:

Share - copy and redistribute the material in any medium or format.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Keep intact - all notices that refer to this license, including copyright notices.

No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: csv-1.csv

Column name	Description
Year	Year of the data. (Integer)
LocationAbbr	Abbreviation of the location. (String)
LocationDesc	Description of the location. (String)
Datasource	Source of the data. (String)
PriorityArea1	Priority area 1 of the data. (String)
PriorityArea2	Priority area 2 of the data. (String)
PriorityArea3	Priority area 3 of the data. (String)
PriorityArea4	Priority area 4 of the data. (String)
Category	Category of the data. (String)
Topic	Topic of the data. (String)
Indicator	Indicator if available. (String)
Data_Value_Type	Type of data value. (String)
Data_Value_Unit	Unit of each value field. (String)
Data_Value_Alt	Alternative value for respective each field. (Float)
Data_Value_Footnote_Symbol	Footnote symbol for the data value. (String)
Break_Out_Category	Break out category for the data. (String)
Break_out	Break out description for the data. (String)
GeoLocation	Geographical location of the data. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit US Open Data Portal, data.gov.

Tables

N, 1

@kaggle.thedevastator_brfss_2011_present_nation_level_chronic_disease.n__1

954.45 KB
85800 rows
30 columns


CREATE TABLE n__1 (
  "index" BIGINT,
  "year" BIGINT,
  "locationabbr" VARCHAR,
  "locationdesc" VARCHAR,
  "datasource" VARCHAR,
  "priorityarea1" VARCHAR,
  "priorityarea2" VARCHAR,
  "priorityarea3" VARCHAR,
  "priorityarea4" VARCHAR,
  "category" VARCHAR,
  "topic" VARCHAR,
  "indicator" VARCHAR,
  "data_value_type" VARCHAR,
  "data_value_unit" VARCHAR,
  "data_value" DOUBLE,
  "data_value_alt" DOUBLE,
  "data_value_footnote_symbol" VARCHAR,
  "data_value_footnote" VARCHAR,
  "confidence_limit_low" DOUBLE,
  "confidence_limit_high" DOUBLE,
  "break_out_category" VARCHAR,
  "break_out" VARCHAR,
  "categoryid" VARCHAR,
  "topicid" VARCHAR,
  "indicatorid" VARCHAR,
  "data_value_typeid" VARCHAR,
  "breakoutcategoryid" VARCHAR,
  "breakoutid" VARCHAR,
  "locationid" BIGINT,
  "geolocation" VARCHAR
);