Global Suicide, Mental Health, Substance Use by Kaggle | Healthcare

About this Dataset

Global Suicide, Mental Health, Substance Use

Global Suicide, Mental Health, Substance Use Disorders Trends

Analyzing the Impact Across Countries

About this dataset

This dataset contains comprehensive data on global suicide, mental health, substance use disorders, and economic trends from 1990 to 2017. Using this data, researchers can delve deep into the effects of these trends across countries and ultimately uncover important insights about the state of global health. The dataset contains information about suicide rates (per 100,000 people), mental disorder prevalence (as a percentage of population size in 2017), population share with substance use disorders (as a percentage from 1990-2016), GDP per capita by purchasing power parity (in terms of current US$ for 1990-2017) and net national income per capita adjusted for inflation effects(in current US$, as in 2016). Additionally it tracks unemployment rate among populations over time(populaton%, 1991-2017). All this will help us to better understand how issues such as suicide, mental health and substance use disorders are affecting the lives of people globally

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How to use the dataset

This dataset offers insights into how mental health, substance use disorders, and economic status can impact global suicide trends. To get the most out of this data set, it is important to note the various columns available and their purpose as outlined above.

To analyze global suicide rates, look at the column “Probability (%) of dying between age 30 and exact age 70 from any of cardiovascular disease, cancer, diabetes or chronic respiratory disease” for a summary of estimated suicide rates for different countries over time. Additionally the columns “Entity” and “Code” provide useful information on which country is being discussed in each row.

The column “Prevalence- Alcohol and Substance Use Disorders” provides an overview of substance use disorders across different countries while the year column indicates when these trends are taking place.

For economic indicators related to mental health there is data available on national income per capita (current US$, 2016) as well as unemployment rate (population % 1991-2017). Together these metrics give a detailed picture into how economics can be interlinked with mental health and potentially suicide rates.

Finally this dataset also allows you to investigate varying trends overtime between different countries by looking at any common metrics but only in one specific year using appropriate filters when exploring the data set in more detail

Research Ideas

Analyzing the correlation between mental health and economic indicators.

Identifying countries with the highest prevalence of substance use disorders and developing targeted interventions for those populations.

Examining the impact of global suicide rates over time to increase awareness and reduce stigma surrounding mental health issues in different countries

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: share-with-alcohol-and-substance-use-disorders 1990-2016.csv

Column name	Description
Entity	The name of the country. (String)
Code	The ISO code of the country. (String)
Year	The year of the data. (Integer)
Prevalence - Alcohol and substance use disorders	The percentage of the population with alcohol and substance use disorders. (Float)
Prevalence	Both (age-standardized percent) (%)

File: crude suicide rates.csv

Column name	Description
Probability (%) of dying between age 30 and exact age 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease	The probability of dying between the ages of 30 and 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease. (Percentage)
Probability (%) of dying between age 30 and exact age 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease.1	The probability of dying between the ages of 30 and 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, adjusted for age. (Percentage)
Probability (%) of dying between age 30 and exact age 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease.2	The probability of dying between the ages of 30 and 70 from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, adjusted for sex. (Percentage)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Crude Suicide Rates

@kaggle.thedevastator_global_suicide_mental_health_substance_use_disor.crude_suicide_rates

21.99 KB
916 rows
8 columns


CREATE TABLE crude_suicide_rates (
  "unnamed_0" VARCHAR,
  "unnamed_1" VARCHAR,
  "probability_of_dying_between_age_30_and_exact_age_70_f_ab350161" VARCHAR,
  "probability_of_dying_between_age_30_and_exact_age_70_f_2a8009c7" VARCHAR,
  "probability_of_dying_between_age_30_and_exact_age_70_f_55e6a392" VARCHAR,
  "crude_suicide_rates_per_100_000_population" VARCHAR,
  "crude_suicide_rates_per_100_000_population_1" VARCHAR,
  "crude_suicide_rates_per_100_000_population_2" VARCHAR
);

Share With Alcohol And Substance Use Disorders 1990–2016

@kaggle.thedevastator_global_suicide_mental_health_substance_use_disor.share_with_alcohol_and_substance_use_disorders_1990_2016

66 KB
6156 rows
4 columns


CREATE TABLE share_with_alcohol_and_substance_use_disorders_1990_2016 (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "prevalence_alcohol_and_substance_use_disorders_both_ag_7f2c9f88" DOUBLE
);