Related Experiment Video
Updated: Nov 16, 2025

07:57
A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
21.5K
Changes in Suicide Rates - United States, 2018-2019
MMWR. Morbidity and Mortality Weekly Report
|February 25, 2021
Summary
Suicide rates declined overall between 2018 and 2019, with variations across demographic groups and states. This progress highlights the need for continued, data-driven suicide prevention strategies targeting at-risk populations.
Area of Science:
- Public Health
- Epidemiology
- Mental Health Research
Background:
- Suicide is a leading cause of death in the US, particularly for young adults.
- Significant increases in suicide rates were observed between 1999 and 2019.
- Suicide and attempts incur substantial lifetime economic costs.
Purpose of the Study:
- To analyze the variation in suicide rate declines from 2018 to 2019 across diverse subpopulations.
- To identify demographic, geographic, and mechanism-specific trends in suicide rates.
Main Methods:
- Analysis of suicide counts and age-adjusted rates from 2018 to 2019.
- Utilized Z-tests and 95% confidence intervals for statistical significance.
- Examined changes by demographic characteristics, county urbanicity, and mechanism of injury.
Main Results:
- Overall suicide rates declined by 2.1%, with greater declines among females (3.2%) than males (1.8%).
- Significant declines were observed in five states and across various subgroups (race/ethnicity, age, urbanicity, mechanism).
- Some states and subpopulations experienced significant increases in suicide rates, indicating non-uniform progress.
Conclusions:
- The 2018-2019 decline in suicide rates is an encouraging but not uniform development.
- A comprehensive, data-driven approach to suicide prevention is crucial.
- Targeted strategies are needed for disproportionately affected populations to build on initial progress.
Related Concept Videos
Actuarial Approach
190
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
190
Diagnostic and Statistical Manual of Mental Disorders (DSM)
474
The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
474
Stress and Mental Health
333
Chronic stress profoundly affects mental health, significantly influencing mood, behavior, and overall quality of life. Research closely links chronic stress with mental health conditions such as depression, anxiety, and substance use disorders. Ongoing exposure to stress can lead to physiological and psychological changes, initiating a cycle of emotional distress and maladaptive coping mechanisms.
Individuals with depression often experience challenges in both their personal and professional...
Individuals with depression often experience challenges in both their personal and professional...
333
Regression Toward the Mean
6.6K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.6K
Applications of Life Tables
182
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
182
Longitudinal Research
12.8K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.8K

