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The Origins & Evolution of Stress Research: From Distress to Eustress

2020· article· en· W3016815262 on OpenAlexaboutno aff
Sándor Szabó

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsnot available
Fundersnot available
KeywordsDistressStressorMedicinePsychologyEndocrinologyInternal medicinePsychiatryClinical psychology

Abstract

fetched live from OpenAlex

Hans Selye (1907, Vienna ‐ 1982, Montreal) first published his seminal papers in 1936 ( Nature ) & 1937 ( Science ) that described the three stages of stress reaction (i.e., alarm reaction, resistance & exhaustion) in rats exposed to cold, immobilization or toxic agents. He identified the adrenals & the pituitary as the main endocrine glands involved in this nonspecific reaction. He also knew & documented that although the sudden release of epinephrine (adrenaline) from the adrenal medulla, as described earlier by Walter Canon, plays a critical role in the initial alarm reaction, but the long‐term effects of stress reaction are due to the enhanced synthesis & release of glucocorticoids from the adrenal cortex. Based on this mechanistic reasoning he described in his first publications what has later become known the “morphologic triad of stress”: adrenal hypertrophy, gastric erosions/ulcers & thymo‐lymphatic atrophy. Furthermore, what we call today ‘stress‐related diseases’ in man, he described these in the 1940s & 1950s as ‘diseases of adaption’ in rats. In the last stages of his productive life, Selye realized that virtually all the stressors (i.e., stress‐causing agents) he used in experimental animals were unpleasant, negative factors that caused ‘distress’. But around the early 1970s, mostly based on the work of Swedish psychosocial scientist Lennart Levi who distinguished “negative stress” from “positive stress”, Selye in his last scientific books (1974 & 1976) “ Stress without distress ” & “Stress in Health & Disease ”, he called distress the stress reaction caused by negative, unpleasant factors & eustress (from ‘euphoria’) the similar reaction triggered by positive, pleasant factors like joy over major rewards, receiving surprising good news. Namely, we learned during the last about 40 years that our pituitary gland cannot distinguish between positive & negative stimuli to release ACTH (only our brain cortex, amygdala & hippocampus may perceive the difference). Because of these stress‐related creative discoveries Hans Selye is known as ‘father of biologic stress’, but he also made numerous other major discoveries, e.g., he also introduced the first physiologically sound, structure‐activity classification of steroids that was also based on the chemical structure of steroids in 1943. He not only introduced the names of glucocorticoids & mineralocorticoids but discovered their anti‐ & pro‐inflammatory properties, respectively, of these steroids in animal models. Furthermore, he not only described the first stress‐induced gastric ulcers in rats (1936 & 1937), but he also recognized the first human ‘stress ulcers’ during the air‐raids in London during World War II ( Lancet , 1943). Thus, Hans Selye not only introduced the concept & bodily reaction what we call today “stress”, but he also creatively synthesized the contributions of Walter Canon & Lennart Levi in a mechanistic molecular & cellular pathway.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0030.039
Scholarly communication0.0050.007
Open science0.0010.006
Research integrity0.0030.006
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 head0.088
GPT teacher head0.363
Teacher spread0.275 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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".

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Citations3
Published2020
Admission routes1
Has abstractyes

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