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Related Concept Videos

Longitudinal Research02:20

Longitudinal 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...
Regression Toward the Mean01:52

Regression Toward the Mean

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 researchers try to extrapolate results...
Longitudinal Studies01:26

Longitudinal 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...
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
Assumptions of Survival Analysis01:15

Assumptions 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.
Actuarial Approach01:20

Actuarial 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,...

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Related Experiment Videos

Predicting suicide attempts with the SAD PERSONS scale: a longitudinal analysis.

James M Bolton1, Rae Spiwak, Jitender Sareen

  • 1Department of Psychiatry, University of Manitoba, Winnipeg, Manitoba, Canada. jbolton@hsc.mb.ca

The Journal of Clinical Psychiatry
|July 17, 2012
PubMed
Summary

The SAD PERSONS scale and its modified version (MSPS) show poor accuracy in predicting future suicide attempts. A revised model using five key items demonstrated improved prediction for individuals at high risk.

Related Experiment Videos

Area of Science:

  • Psychiatry
  • Emergency Medicine
  • Public Health

Background:

  • The SAD PERSONS scale is frequently used for suicide risk assessment.
  • Existing data supporting its predictive accuracy for suicidal behavior is limited.

Purpose of the Study:

  • To evaluate the predictive capability of the SAD PERSONS scale for suicide attempts.
  • To assess the Modified SAD PERSONS (MSPS) scale's effectiveness in predicting suicide attempts.

Main Methods:

  • A cohort of 4,019 psychiatric referrals to emergency departments in Manitoba, Canada, was studied over two years.
  • SAD PERSONS and MSPS scores were recorded, and suicide attempts (current and future) were tracked.
  • Logistic regression, sensitivity/specificity, and ROC curves were used for analysis.

Main Results:

  • The SAD PERSONS and MSPS scales demonstrated poor predictive ability for future suicide attempts.
  • High-risk scores on both scales had low sensitivity and low positive predictive value.
  • A stepwise regression model identified five items with improved predictive power for future suicide attempts, showing high sensitivity and a significantly increased likelihood of attempts.

Conclusions:

  • The current SAD PERSONS and MSPS scales are not accurate predictors of future suicide attempts.
  • A refined model incorporating specific scale items shows potential for better risk stratification.