- Demographic Survey Questions for Healthy Aging Data
- Health Questions for Aging Data
- Vital Behavioral Risk Factors Data for Healthy Aging Data
- Quality of Life Measures for Aging Data
- Using BRFSS to Analyze Healthy Aging Data
- Demographic Survey Questions
- Health Questions
- Healthy Life
- Behavioral Risk Factor Surveillance System (BRFSS)
- Healthy Aging Data
- Health Related Quality of Life
- Health Promotion Strategies
- Quality of Life Measures
- Population Health
- Health Indicators
BRFSS Healthy Aging Data
This dataset includes information regarding data from the Behavioral Risk Factor Surveillance System (BRFSS). All respondents to the BRFSS are non-institutionalized adults, 18 years old or older. This dataset comprises of Class and Topic Description, Survey Question, Data Value, High and Low Confidence Limits, Stratification Categories, Latitude and Longitude for Healthy Aging Data.
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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. This dataset is provided by Centers for Disease Control and Prevention (CDC) Division of Population Health.
The Healthy Aging Data by CDC comprises of data on a range of key indicators of health and well-being, screenings and vaccinations, and mental health among older adults at the national and state levels. These indicators provide a snapshot of currently available surveillance information, and can be useful for prioritization and evaluation of public health interventions. The data value units used for this dataset are either numbers or percentages.
The Healthy Aging Program serves as the focal point at CDC for efforts to promote the health and quality of life of older Americans. Located within CDC’s National Center for Chronic Disease Prevention and Health Promotion, the Program focuses primarily on adults age 50 or older. The main goals of this program are:
– Enhance the ability of states and communities to identify and implement effective strategies and programs to promote and protect the health of older adults.
– Enhance the integration of efforts by the public health and aging services networks to promote health and prevent disease among older adults.
– Promote health and preserve health-related quality of life for older adults through the health care system and other avenues.
Healthy Aging Program aims at:
– Developing innovative, web-based tools and resources.
– Collecting, analyzing, and disseminating data to guide public health action.
– Engaging in active partnerships with CDC partners, other federal agencies, the states, and key national organizations to promote and disseminate effective health promotion strategies.
Given the rapid aging of the U.S. population, increasing the use of preventive services by adults aged 50 or older is a key public health strategy. Despite the effectiveness of these potentially life-saving preventive services:
– Only 25% of adults aged 50 to 64 years are up to date on services.
– Less than 50% of adults aged 65 years or older are up to date.
These services are covered, in part or completely, by most insurance plans, including Medicare and Medicaid.
About this Dataset
John Snow Labs; Centers for Disease Control and Prevention;
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Demographic Survey Questions, Health Questions, Healthy Life, Behavioral Risk Factor Surveillance System (BRFSS), Healthy Aging Data, Health Related Quality of Life, Health Promotion Strategies, Quality of Life Measures, Population Health, Health Indicators
Demographic Survey Questions for Healthy Aging Data, Health Questions for Aging Data, Vital Behavioral Risk Factors Data for Healthy Aging Data, Quality of Life Measures for Aging Data, Using BRFSS to Analyze Healthy Aging Data
|Year||Identifies the year in which the data is collected for years 2011 and prior (2011-2017).||date||required : 1|
|State_Abbreviation||The two-digit abbreviation to represent different states of United States.||string||required : 1|
|State||Full description of different states of United States where the survey questionnaires belong.||string||required : 1|
|Class_Description||Refers to the description for several classes of different indicators of healthy aging.||string||-|
|Topic_Description||Depicts the topic within the survey of Behavioral Risk Factors (BRFs).||string||required : 1|
|Survey_Question||The questions included in the survey questionnaire.||string||required : 1|
|Response||The response received.||string||-|
|Data_Value||The actual value or responses collected against each of the survey questions.||number||level : Ratio|
|Data_Value_Footnote||It identifies the actual footnote value or responses collected against each of the survey questions.||string||-|
|Low_Confidence_Limit||The lower limit of the confidence interval.||number||level : Ratio|
|High_Confidence_Limit||The upper limit of the confidence interval.||number||level : Ratio|
|Stratification1_Age_Group||It identifies the Stratification of the target patients according to the different age groups.||string||-|
|Stratification_Category2||It identifies the Stratification of the target patients according to the different categories.||string||-|
|Stratification2||It identifies the Stratification of the target patients.||string||-|
|Latitude||Identifies the geographical location Latitude.||number||-|
|Longitude||Identifies the geographical location Longitude.||number||-|
|Class_ID||The alphanumeric identity of the class.||string||required : 1|
|Topic_ID||The alphanumeric identity of the topic.||string||required : 1|
|Question_ID||The identity of the survey questions.||string||required : 1|
|Location_ID||The numerical identity of the location.||integer||level : Nominalrequired : 1|
|Stratification_ID1||It represents the identity for the Stratification of category 1.||string||-|
|Stratification_ID2||It represents the identity for the Stratification of category 2.||string||-|
|Year||State Abbreviation||State||Class Description||Topic Description||Survey Question||Response||Data Value||Data Value Footnote||Low Confidence Limit||High Confidence Limit||Stratification1 Age Group||Stratification Category2||Stratification2||Latitude||Longitude||Class ID||Topic ID||Question ID||Location ID||Stratification ID1||Stratification ID2|
|2016||TN||Tennessee||Overall Health||Prevalence of sufficient sleep||Percentage of older adults getting sufficient sleep (>6 hours)||69.2||67.1||71.3||Overall||Race/Ethnicity||White, non-Hispanic||35.68094058||-85.77449091||C01||TOC09||Q34||47||AGE_OVERALL||WHT|
|2017||ID||Idaho||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||No Data Available||50-64 years||Race/Ethnicity||Asian/Pacific Islander||43.68263001||-114.36373||C02||TNC01||Q01||16||5064||ASN|
|2017||WA||Washington||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||31.4||21.7||43.1||50-64 years||Race/Ethnicity||Asian/Pacific Islander||47.52227863||-120.4700108||C02||TNC01||Q01||53||5064||ASN|
|2017||HI||Hawaii||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||36.3||32.0||40.9||65 years or older||Race/Ethnicity||Asian/Pacific Islander||21.30485044||-157.8577494||C02||TNC01||Q01||15||65PLUS||ASN|
|2017||VT||Vermont||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||No Data Available||65 years or older||Race/Ethnicity||Asian/Pacific Islander||43.62538124||-72.51764079||C02||TNC01||Q01||50||65PLUS||ASN|
|2015||OH||Ohio||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||20.3||10.9||34.8||Overall||Race/Ethnicity||Hispanic||40.06021014||-82.40426006||C02||TNC01||Q01||39||AGE_OVERALL||HIS|
|2017||IL||Illinois||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||41.1||27.9||55.7||65 years or older||Race/Ethnicity||Hispanic||40.48501028||-88.99771018||C02||TNC01||Q01||17||65PLUS||HIS|
|2017||US||United States, DC & Territories||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||28.7||27.9||29.5||50-64 years||Gender||Male||C02||TNC01||Q01||59||5064||MALE|
|2015||HI||Hawaii||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||No Data Available||65 years or older||Race/Ethnicity||Native Am/Alaskan Native||21.30485044||-157.8577494||C02||TNC01||Q01||15||65PLUS||NAA|
|2017||ND||North Dakota||Nutrition/Physical Activity/Obesity||Eating 2 or more fruits daily||Percentage of older adults who are eating 2 or more fruits daily||31.5||20.4||45.1||50-64 years||Race/Ethnicity||Native Am/Alaskan Native||47.47531978||-100.118421||C02||TNC01||Q01||38||5064||NAA|