Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Anorexia Nervosa

Anorexia Nervosa

Anorexia nervosa is a complex and severe eating disorder characterized by an intense fear of weight gain, an unrelenting pursuit of thinness, and a distorted body image. It often leads to dangerously low body weight relative to an individual's age and height. This disorder is marked by significant physical and psychological consequences, making it one of the most life-threatening psychiatric illnesses.
Symptoms and Physical Effects
Individuals with anorexia nervosa commonly exhibit extreme...

Bulimia Nervosa

Bulimia Nervosa

Bulimia nervosa is a complex and severe eating disorder characterized by a cyclical pattern of binge-and-purge eating pattern. It generally involves an episode of binge eating, followed by compensatory behaviors such as vomiting, excessive exercise, laxative use, or fasting, to prevent weight gain. Despite often maintaining a normal weight, individuals with bulimia are intensely preoccupied with their body image and harbor an overwhelming fear of gaining weight. This can contribute to the...

Assumptions of Survival Analysis

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.

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

Comparing the Survival Analysis of Two or More Groups

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...

Truncation in Survival Analysis

Truncation in Survival Analysis

Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are observed.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Can the relationship between overweight/obesity and sleep quality be explained by affect and behaviour?

Eating and weight disorders : EWD·2022

Same author

Are plasma homocysteine and methionine elevated when binging and purging behavior complicates anorexia nervosa? Evidence against the transdiagnostic theory of eating disorders.

Eating and weight disorders : EWD·2010

Same author

Obesity and overweight in Canada: an updated cost-of-illness study.

Obesity reviews : an official journal of the International Association for the Study of Obesity·2009

Same author

Managing anxiety in eating disorders with knitting.

Eating and weight disorders : EWD·2009

Same author

The interrater reliability of rating non-exercise activity of inpatients with eating disorders using a visual analogue scale.

Eating and weight disorders : EWD·2009

Same author

Is there evidence that religion is a risk factor for eating disorders?

Eating and weight disorders : EWD·2009

Search research articles

Related Experiment Video

Updated: Jul 3, 2026

Using the Activity-based Anorexia Rodent Model to Study the Neurobiological Basis of Anorexia Nervosa

Using the Activity-based Anorexia Rodent Model to Study the Neurobiological Basis of Anorexia Nervosa

Published on: October 22, 2015

Anorexia nervosa: a survival analysis.

E J Harbottle¹, C L Birmingham, F Sayani

¹Eating Disorders Program, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada V6Z 1Y6.

Eating and Weight Disorders : EWD

|July 10, 2008

Summary

This summary is machine-generated.

Anorexia nervosa (AN) significantly reduces life expectancy, with patients living decades less than the general population. This study quanties the reduced lifespan for individuals with AN, highlighting the severity of the disorder.

More Related Videos

Control of Eating Behavior Using a Novel Feedback System

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

Related Experiment Videos

Last Updated: Jul 3, 2026

Using the Activity-based Anorexia Rodent Model to Study the Neurobiological Basis of Anorexia Nervosa

Using the Activity-based Anorexia Rodent Model to Study the Neurobiological Basis of Anorexia Nervosa

Published on: October 22, 2015

Control of Eating Behavior Using a Novel Feedback System

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

Area of Science:

Psychiatry
Public Health
Epidemiology

Background:

Numerous studies report the standardized mortality ratio (SMR) for anorexia nervosa (AN).
However, the specific life expectancy of individuals with AN has not been previously documented.
This gap in knowledge necessitates an estimation of lifespan for AN patients.

Purpose of the Study:

To estimate the average life expectancy of patients diagnosed with anorexia nervosa.
To analyze how age at diagnosis impacts life expectancy in AN patients.

Main Methods:

Survival analysis was conducted using decision analysis software.
Mortality data from British Columbia, Canada (Statscan) were utilized.
Previously reported SMR for AN in British Columbia was incorporated into the analysis.

Main Results:

Life expectancy for AN patients is presented, showing a significant reduction compared to the general population.
For instance, a woman diagnosed with AN at age 15 may experience a lifespan 25 years shorter than expected.
Detailed data are available in Table 1 and Figure 2.

Conclusions:

Survival curves are crucial for visualizing life loss in AN.
These curves can serve to motivate patients and families.
They can also support legal arguments and funding requests related to AN care.