Related Experiment Video
Updated: Jun 13, 2026
07:57
A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
Nonresident suicides in England: a national study
Kirsten Windfuhr1, Harriet Bickley, David While
1Centre for Suicide Prevention, University of Manchester, Manchester M13 9PL, UK.
Suicide & Life-Threatening Behavior
|May 15, 2010
Summary
Twelve percent of suicides occurred away from home, often involving younger individuals with social adversity and severe mental illness. Both personal and environmental factors contribute to suicide occurring distant from home.
Area of Science:
- Public Health
- Epidemiology
- Mental Health Research
Background:
- Limited understanding of individuals dying by suicide away from their residence.
- Need to characterize nonresident suicides to inform prevention strategies.
Purpose of the Study:
- To identify sociodemographic characteristics of individuals dying by suicide away from home.
- To examine the location and method of suicide in a national sample of nonresident suicides.
Main Methods:
- Analysis of a national sample of all suicides in England.
- Definition of nonresident suicides as those residing in one Health Authority but dying in another.
Main Results:
- Twelve percent of all suicides were classified as nonresident.
- Nonresident suicides were more prevalent in younger individuals.
- Associated factors included social adversity and severe mental illness.
Conclusions:
- Individual-level factors (age, social adversity, mental illness) are associated with suicide away from home.
- Area-based factors likely also play a role in nonresident suicides.
- Further research is needed to understand the interplay of these factors for targeted interventions.
Related Concept Videos
02:20Longitudinal Research
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...
01:20Actuarial Approach
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,...
01:11Observational Studies
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
02:16Surveys
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
01:26Longitudinal Studies
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
01:15Assumptions of Survival Analysis
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.