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United States Vision Health Surveillance Data
Public Health & Epidemiology
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About
A de-identified summary table presents vision and eye health data indicators derived from the National Health Interview Survey (NHIS). The data is stratified by various combinations of age group, race/ethnicity, gender, and risk factors. This information originates from an annual household survey by the National Center for Health Statistics at the CDC, which tracks trends in illness, disabilities, and progress toward national health objectives. The data focuses on visual function, with values suppressed for cell sizes smaller than 30 or where the relative standard error exceeds 30% of the mean.
Columns
- YearStart: The starting year for the data range.
- YearEnd: The ending year for the data range; it is the same as the starting year if a single year was evaluated.
- LocationAbbr: The abbreviation for the location.
- LocationDesc: The full name of the location.
- DataSource: The abbreviation for the data source.
- Topic: A description of the topic (e.g., Visual Function).
- Category: A description of the data category.
- Question: The specific question asked (e.g., Percentage of adults with diabetic retinopathy).
- Response: An optional column for the response value that was evaluated.
- Age: The stratification value for an age group (e.g., All ages, 0-17 years, 18-39 years).
- Gender: The stratification value for gender (e.g., Total, Male, Female).
- RaceEthnicity: The stratification value for race/ethnicity (e.g., All races, Asian, Black, non-hispanic).
- RiskFactor: The stratification value for a major risk factor (e.g., Diabetes, Hypertension, Smoking).
- RiskFactorResponse: The response for the evaluated risk factor (e.g., Yes, No, Current Smoker).
- Data_Value_Unit: The unit of measurement for the data value, such as '%'.
- Data_Value_Type: The type of data value, such as crude prevalence.
- Data_Value: A numeric data value greater than or equal to 0.
- Data_Value_Footnote_Symbol: A symbol indicating a footnote.
- Data_Value_Footnote: The text of a corresponding footnote.
- Low_Confidence_Limit: The lower bound of the 95% confidence interval.
- High_Confidence_Limit: The higher bound of the 95% confidence interval.
- Numerator: The predicted number of people who may have the condition. This column is empty.
- Sample_Size: The sample size used to calculate the data value.
- LocationID: A lookup identifier for the location.
- TopicID: A lookup identifier for the topic.
- CategoryID: A lookup identifier for the category.
- QuestionID: A lookup identifier for the question.
- ResponseID: A lookup identifier for the response.
- DataValueTypeID: A lookup identifier for the data value type. This column is empty.
- AgeID: A lookup identifier for the age stratification.
- GenderID: A lookup identifier for the gender stratification.
- RaceEthnicityID: A lookup identifier for the race/ethnicity stratification.
- RiskFactorID: A lookup identifier for the major risk factor.
- RiskFactorResponseID: A lookup identifier for the major risk factor response.
- GeoLocation: Geolocation information, which is not provided for this national-level data.
- Geographic Level: The geographic level of the data. This column is empty.
Distribution
- Format: The dataset is a tabular CSV file with mixed data types.
- Size: The file size is 27.68 MB.
- Structure: The dataset contains 36 columns and approximately 71,600 rows.
Usage
This dataset is ideal for public health research, epidemiological studies, and policy analysis related to vision and eye health in the United States. Researchers can use it to monitor trends in visual impairment, identify health disparities among different demographic groups, and evaluate the impact of risk factors like diabetes and smoking on eye conditions. It can also support the development of targeted health interventions and inform national health objectives.
Coverage
- Geographic: The data is at a national level for the United States.
- Time Range: The data covers the period from 2014 to 2017. The last update was in November 2019, and no further updates are expected.
- Demographic: The data is stratified by age groups (0-17 years, 18-39 years, 40-64 years, 65-84 years, and 85+), gender (Male, Female), race/ethnicity (Asian, Black non-Hispanic, Hispanic, White non-Hispanic, etc.), and major risk factors (Diabetes, Hypertension, Smoking).
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To analyse trends in vision health and identify at-risk populations.
- Epidemiologists: For studying the prevalence and distribution of eye diseases and visual impairment.
- Policy Makers: To inform the development of public health policies and national health objectives.
- Healthcare Organisations: To understand demographic risk factors and plan for community health needs.
- Academics and Students: For research projects and studies in public health, medicine, and social sciences.
Dataset Name Suggestions
- US Vision and Eye Health Survey Data
- National Vision Health Indicators (NHIS)
- Demographic Trends in US Eye Health
- NHIS Vision Impairment and Risk Factors
- United States Vision Health Surveillance Data
Attributes
Original Data Source:
United States Vision Health Surveillance Data
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