Chronic Fatigue Syndrome History

Reports of illness that fit the description of chronic fatigue syndrome go back as far as 1750, when Sir Richard Manningham reported a syndrome called febricula, meaning “little fever.” Papers published by medical journals such as The Lancet and the British Medical Journal also refer to the likelihood that historical figures such as Florence Nightingale and Charles Darwin suffered from a condition that resembles the syndrome.

Another example of an illness that clearly resembled what we now call chronic fatigue syndrome was reported in 1934, when there was an outbreak of sickness at the Los Angeles County Hospital. The illness, which mainly affected hospital staff members, was referred to at the time as “atypical poliomyelitis” because it was assumed to be a type of polio.

In 1955, another such outbreak occurred at the Royal Free Hospital in London, where, again it mainly affected the hospital staff and closely resembled chronic fatigue syndrome. This time the condition was given two names, Royal Free disease and benign myalgic encephalomyelitis. In 1969, benign myalgic encephalomyelitis was included in the International Classification of Diseases (ICD) as a disease of the nervous system.

The term “chronic fatigue syndrome” was first used in medical literature to describe an illness that “seemed like chronic active Epstein-Barr virus (EBV) infection but did not seem to be caused by EBV.” In 1988, the term was defined in a publication: “Chronic fatigue syndrome: a working case definition,” and replaced the term “chronic Epstein-Barr virus syndrome”. This new definition was published after US Centers for Disease Control and Prevention researchers examined patients from another outbreak that occurred at Lake Tahoe, Nevada in the mid 1980s.

In 2006, the CDC mounted a national educational campaign to raise awareness about chronic fatigue syndrome among the general population and healthcare professionals.

Further Reading

Last Updated: Jul 7, 2023

Dr. Ananya Mandal

Written by

Dr. Ananya Mandal

Dr. Ananya Mandal is a doctor by profession, lecturer by vocation and a medical writer by passion. She specialized in Clinical Pharmacology after her bachelor's (MBBS). For her, health communication is not just writing complicated reviews for professionals but making medical knowledge understandable and available to the general public as well.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Mandal, Ananya. (2023, July 07). Chronic Fatigue Syndrome History. News-Medical. Retrieved on December 21, 2024 from https://www.news-medical.net/health/Chronic-Fatigue-Syndrome-History.aspx.

  • MLA

    Mandal, Ananya. "Chronic Fatigue Syndrome History". News-Medical. 21 December 2024. <https://www.news-medical.net/health/Chronic-Fatigue-Syndrome-History.aspx>.

  • Chicago

    Mandal, Ananya. "Chronic Fatigue Syndrome History". News-Medical. https://www.news-medical.net/health/Chronic-Fatigue-Syndrome-History.aspx. (accessed December 21, 2024).

  • Harvard

    Mandal, Ananya. 2023. Chronic Fatigue Syndrome History. News-Medical, viewed 21 December 2024, https://www.news-medical.net/health/Chronic-Fatigue-Syndrome-History.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Wearable sensors and machine learning predict worker fatigue to improve safety and productivity