Population Weight Health Metrics
Patient Health Records & Digital Health
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About
This dataset provides invaluable data on the prevalence of normal weight, overweight, and obesity among adults aged 20 and over [1]. It is segmented by various population characteristics, offering insights into the distribution and trends of weight-related health metrics across different demographics in the United States [1]. Sourced from the National Health and Nutrition Examination Survey (NHANES) conducted by the National Center for Health Statistics (NCHS) [1].
Columns
- INDICATOR: Identifies the data type, for example, Normal weight, Overweight, or Obesity [2, 3].
- PANEL: A unique identifier for the survey panel [2, 3].
- PANEL_NUM: The numerical value associated with the panel identifier [2, 4].
- UNIT: Specifies the unit of measurement, such as "Percent of population" [2, 4].
- UNIT_NUM: The numerical value representing the unit of measurement [2, 4, 5].
- STUB_NAME: The general name for a category, such as "Total" or "Sex and race and Hispanic origin" [5, 6].
- STUB_NAME_NUM: The numerical identifier for the stub name [5, 7].
- STUB_LABEL: The specific label for the stub category, e.g., "All persons" or "Male" [6, 7].
- STUB_LABEL_NUM: The numerical identifier for the stub label [7, 8].
- YEAR: Indicates the year or period when the data was recorded [6, 8].
- YEAR_NUM: The numerical representation of the year or period [6, 8, 9].
- AGE: Specifies the age group category, for instance, "20 years and over" or "20-34 years" [6, 9].
- AGE_NUM: The numerical value associated with the age group [6, 9, 10].
- ESTIMATE: The estimated percentage for the given indicator and demographic [6, 10]. This column has some missing values [10].
- SE: The standard error of the estimate, indicating the precision of the estimates [6, 11]. This column also has some missing values [11].
Distribution
The dataset is available as a CSV file, named
weight.csv
, with a file size of 855.82 kB [6]. Most columns contain 3360 valid entries, while the 'ESTIMATE' and 'SE' columns have 2899 valid entries, indicating approximately 14% missing data for these specific metrics [3-5, 7-11].Usage
This dataset is ideal for various applications, including:
- Research and Analysis: Studying trends in weight distribution among different demographic groups [12].
- Public Health Initiatives: Informing strategies and interventions aimed at addressing obesity and overweight issues [12].
- Socioeconomic Analysis: Analysing the influence of socio-economic factors on weight-related health metrics [13].
- Policy Making: Developing policies to reduce obesity rates, promoting healthy weight, allocating resources effectively, and evaluating existing public health programmes [13].
- Healthcare Planning: Designing preventive measures, planning community outreach programmes for high-risk groups, and informing the creation of nutritional guidelines [13, 14].
Coverage
The data spans several decades, from 1988-2018 [12]. It focuses on adults aged 20 and over in the United States [1]. Demographic breakdowns include data segmented by sex and specific age ranges, as well as categories involving sex, race, and Hispanic origin [5, 12, 15].
License
CC BY-SA 4.0
Who Can Use It
This dataset is particularly useful for:
- Researchers studying health trends and demographic impacts [12].
- Public health officials for strategy development and intervention planning [12].
- Policy makers for evidence-based policy creation and resource allocation [13].
- Healthcare planners for designing preventive programmes and nutritional guidelines [13, 14].
Dataset Name Suggestions
- Adult Weight Status by Demographics
- US Weight Trends (1988-2018)
- NHANES Adult Weight Data
- Population Weight Health Metrics
Attributes
Original Data Source: Population Weight Health Metrics