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Survey of Health Conditions Among Medical Students

2005· article· en· W4205539600 on OpenAlexaff
Edson Burr Heck

Bibliographic record

VenueAcademic Medicine · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsColumbia College
Fundersnot available
KeywordsSuspectGerontologyCurriculumMedicinePsychologyDemographyPedagogySociology

Abstract

fetched live from OpenAlex

Since the opening of the school term in the fall of 1924, the annual physical examination has been a compulsory feature of the curriculum at the College of Physicians and Surgeons of Columbia University. Up to the opening of the present school term (1931), 1,124 have been examined. This number includes 116 women (10.3 percent) … The purpose of this report is to present a few figures gathered from the first examinations of these 1,124 students. … Habits—69 percent state that they take more or less regular exercise, although I suspect that in many cases the exercise is limited to walks to and from the subway. A small group, mainly the Columbia College graduates, make use of the college gymnasium and swimming pool. Others take advantage of nearby handball and squash courts. Outdoor exercise seems to be the exception. Most students appear to get adequate sleep, although 11 percent report having less than seven hours' sleep nightly. Long-distance commuting is a factor here. One man actually reported five hours a day spent on trains and subways! Sleep is usually reported as being satisfactory, except in the dormitory group who complain of noise and other distractions. 64 percent use tobacco in some form. Excessive smoking (over 20 cigarettes a day) is rare. 20.5 percent admit the use of alcohol, usually moderate and in the form of an occasional party. This figure obviously does not include all the occasional drinkers. 74 percent drink coffee but only 20 percent drink tea. … In a rough attempt to get some information concerning their emotional status, it was found that 31.7 percent were subject to worry and anxiety, the chief contributing factors being studies and finances. A small number admitted periods of depression, inferiority feelings and general instability … This brings us to a very important health problem among medical students which is hardly tangible enough to be put into statistical form, namely, the reaction of the student to his new environment. The medical course is notoriously a grind. Certain students, after a desultory four years spent in college, come to medical school without any proper knowledge of how to study. Others are temperamentally unfit for medicine or have only a half-hearted interest in the work. For these students the first year is mainly a period of adjustment. It is this year in which the scholastic mortality is by far the highest and also the year in which the greatest amount of ill-health, especially in the field of nervous disorders, occurs. Although the medical school supplies the test, it is undoubtedly true that many of these students are badly adjusted to life in general and would probably stack up as less than average in any competitive career. Mental ability appears to be less important than emotional adaptation. In some instances men of high scholastic standing have been unable to stand the gaff. The net result has been the development of a fair sprinkling of neurasthenias, anxiety states, depressions and, occasionally, a frank psychosis. Edson Burr Heck Columbia University College of Physicians and Surgeons

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.445
Teacher spread0.358 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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