Dark Mode
Substance Abuse and Mental Health Historical Survey Data
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Predicting patterns of pain reliever misuse and abuse involves a thorough analysis of demographic factors, medication history, and illicit drug use. Drawing from the National Survey on Drug Use and Health conducted between 2015 and 2017, these records provide deep insights into the characteristics of individuals at risk of substance-related issues. By examining variables such as mental health, employment status, and education levels alongside the use of substances like heroin or amphetamines, the data facilitates an understanding of subtle risk indicators. This resource is significant for identifying targeted areas for prevention and developing tailored programmes to mitigate the risks associated with prescription medication abuse.
Columns
- YEAR: The specific calendar year the survey was conducted (2015–2017).
- AGECAT: Categorised age groups of the respondents.
- SEX: The gender of the individual participant.
- MARRIED: The marital status of the respondent.
- EDUCAT: The highest level of education attained by the participant.
- EMPLOY18: The employment status of the individual.
- CTYMETRO: Indicates whether the participant resides in a city or a metropolitan area.
- HEALTH: The individual's self-reported general health status.
- MENTHLTH: The individual's self-reported mental health status.
- PRLMISEVR: A binary indicator of whether the person has ever misused prescription medication.
- PRLMISAB: A binary indicator of whether the person has abused prescription medications.
- PRLANY: Indicates whether the person has misused or abused at least a minimum amount of prescription medication.
- HEROINEVR: A binary indicator for having ever used heroin.
- HEROINUSE: Indicates if heroin was used within the past year.
- TRQLZRS: Indicates if tranquilisers were used within the past year.
- SEDATVS: Indicates if sedatives were used within the past year.
- COCAINE: Indicates if cocaine was used within the past year.
- AMPHETMN: Indicates if amphetamines were used within the past year.
- HALUCNG: Indicates if hallucinogens were used within the past year.
- TRTMENT: Indicates whether the individual has received treatment for substance use.
Distribution
The data is provided in a CSV file titled
prlmis-data-full.csv with a file size of 7.5 MB. It contains approximately 170,000 valid records, maintaining a 100% validity rate across the primary columns with no missing or mismatched entries. This is a static collection of historical survey data, and future updates are not expected.Usage
This information is ideal for building predictive models to determine the likelihood of pain reliever misuse based on background and behavioural factors. Analysts can use it to identify patterns in substance use across different social strata or to evaluate the correlation between mental health and prescription drug abuse. It also supports the development of public health strategies and the design of prevention efforts aimed at specific high-risk demographics.
Coverage
The geographic scope is the United States, with a focus on city and metropolitan area healthability. Temporally, the data covers a three-year window from 2015 to 2017. The demographic scope is broad, capturing diverse age categories, genders, marital statuses, and employment types, providing a representative look at the American population during the survey period.
License
CC0: Public Domain
Who Can Use It
Public health researchers can leverage these metrics to identify high-risk populations and inform the creation of targeted health campaigns. Data scientists can use the binary and categorical fields to train classification models for risk assessment. Additionally, policy makers and government agencies can use the historical trends to evaluate the effectiveness of past education efforts and plan future interventions for substance abuse prevention.
Dataset Name Suggestions
- National Pain Reliever Misuse and Abuse Predictor (2015–2017)
- US Drug Use and Health Survey: Medication Abuse Trends
- Demographic Risk Factors for Prescription Painkiller Misuse
- Substance Abuse and Mental Health Historical Survey Data
- Predicting Pain Reliever Risk: A Demographic Exploration
Attributes
Original Data Source:Substance Abuse and Mental Health Historical Survey Data
QUALITYLoading...