BRFSS Selected Metropolitan Area Risk Trends MMSA Prevalence Data

$79 / year

This dataset includes information regarding the Selected Metropolitan Area Risk Trends (SMART) project. This project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected Metropolitan/Micropolitan Statistical Areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs.

Complexity

The Behavioral Risk Factor Surveillance System (BRFSS) which is also the data source for this data set, is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death.

Centers for Disease Control and Prevention (CDC) analyzes BRFSS data for metropolitan and micropolitan statistical areas (MMSAs), to provide localized health information that can help public health practitioners identify local emerging health problems, plan and evaluate local responses, and efficiently allocate resources to specific needs. MMSAs are selected on the basis of having had 500 or more respondents to the BRFSS.

Metropolitan statistical areas are a group of counties that contain at least one urbanized area of 50,000 or more inhabitants (e.g., Atlanta-Sandy Springs-Marietta, GA). Micropolitan statistical areas are a group of counties that contain at least one urban cluster of at least 10,000 but less than 50,000 inhabitants (e.g., Willimantic, CT). Metropolitan divisions are a smaller group of counties within a metropolitan statistical area of 2.5 million or more inhabitants (e.g., Boston-Quincy, MA within Boston-Cambridge-Quincy, MA-NH Metropolitan Statistical Area). The Selected Metropolitan/Micropolitan Area Risk Trends (SMART) uses BRFSS data to provide prevalence rates for selected conditions and behaviors for cities and their surrounding counties.

The risk factor categories available are alcohol consumption, asthma, cholesterol awareness, colorectal cancer screening, diabetes, disability, exercise and physical activity, health status, health care access, hypertension awareness, immunization, nutrition, oral health, tobacco use, weight classifications, and women’s health. The categories available will vary from year to year based on questionnaire changes. The findings of the study are depicted in percentages while the data value type is crude prevalence. The prevalence estimates not available if the unweighted sample size for the denominator was less than 50 or the CI half width was greater than 10 for any cell, or if the state did not collect data for that calendar year.

Date Created

2015-06-04

Last Modified

2017-06-02

Version

2017-06-02

Update Frequency

Annual

Temporal Coverage

2011-2015

Spatial Coverage

United States

Source

John Snow Labs => Centers for Disease Control and Prevention

Source License URL

John Snow Labs Standard License

Source License Requirements

N/A

Source Citation

N/A

Keywords

Behavioral Risk Factors (BRFs), Risk Trends Prevalence Data, Health-Related Risk Behaviors, Selected Metropolitan Area Risk Trends (SMART), Metropolitan/Micropolitan Statistical Area (MMSA)

Other Titles

Analyzing Vital Behavioral Risk Factors (BRFs) Data from SMART Project, Using BRFSS for Analysis of Selected MMSAs within SMART Project

NameDescriptionTypeConstraints
YearIdentifies the year in which the data is collected for years 2010 and prior (2002-2010).daterequired : 1
Location_AbbreviationThe five digit abbreviation to represent different states of United States.stringrequired : 1
Location_DescriptionFull description of different counties of United States with two-letter abbreviation of the states from where they belong.stringrequired : 1
Class_DescriptionThe class of the dataset.stringrequired : 1
Topic_DescriptionDepicts the topic within the survey of Behavioral Risk Factors (BRFs) - Selected Metropolitan Area Risk Trends (SMART) Metropolitan/Micropolitan Statistical Area (MMSA) Prevalence Data.stringrequired : 1
Survey_QuestionThe questions included in the survey questionnaire.stringrequired : 1
Survey_ResponseThe responses to different questions of the survey questionnaire.stringrequired : 1
Sample_SizeTotal number of respondents through which the survey questionnaire was circulated.integerrequired : 1 level : Ratio
Data_ValueThe actual value or responses collected against each of the survey questions.numberlevel : Ratio
Confidence_Limit_LowThe lower limit of the confidence interval.numberlevel : Ratio
Confidence_Limit_HighThe upper limit of the confidence interval.numberlevel : Ratio
Display_OrderThe display order of different questions and their responses.integerlevel : Ordinal
Class_IdThe alphanumeric identity of the class.stringrequired : 1
Topic_IdThe alphanumeric identity of the topic.stringrequired : 1
Location_IDThe numerical identity of the location.stringrequired : 1
Question_IDThe identity of the survey questions.stringrequired : 1
Response_IDThe alphanumeric identity of different responses.stringrequired : 1
LatitudeIdentifies the geographical location Latitude.required : 1
LongitudeIdentifies the geographical location Longitude.required : 1
YearLocation_AbbreviationLocation_DescriptionClass_DescriptionTopic_DescriptionSurvey_QuestionSurvey_ResponseSample_SizeData_ValueConfidence_Limit_LowConfidence_Limit_HighDisplay_OrderClass_IdTopic_IdLocation_IDQuestion_IDResponse_IDLatitudeLongitude
200515804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor91434.95CLASS08Topic4115804GENHLTHRESP06039.8097724-74.8232021
201015804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor874.235.35CLASS08Topic4115804GENHLTHRESP06039.8097724-74.8232021
201037764Peabody, MA Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor992.823.55CLASS08Topic4137764GENHLTHRESP06042.642716-70.8651056
200415804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor7032.23.75CLASS08Topic4115804GENHLTHRESP06039.8097724-74.8232021
200837764Peabody, MA Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor13332.23.85CLASS08Topic4137764GENHLTHRESP06042.642716-70.8651056
200915804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Good496292631.93CLASS08Topic4115804GENHLTHRESP05839.8097724-74.8232021
200915804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor723.52.54.45CLASS08Topic4115804GENHLTHRESP06039.8097724-74.8232021
200937764Peabody, MA Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor972.91.93.85CLASS08Topic4137764GENHLTHRESP06042.642716-70.8651056
200815804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor934.73.36.15CLASS08Topic4115804GENHLTHRESP06039.8097724-74.8232021
200715804Camden, NJ Metropolitan DivisionHealth StatusOverall HealthHow is your general health?Poor525.12.57.65CLASS08Topic4115804GENHLTHRESP06039.8097724-74.8232021