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Record W2539752016

Gut Feelings: A Thematic Review of the Links Between Acute Gastrointestinal Illness and Anxiety and Depressive Disorders

2015· review· en· W2539752016 on OpenAlexaff
Janet Hélѐne-Zanin

Bibliographic record

VenueGlobal Health: Annual Review · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAnxietyMedicineMental illnessPsychiatryMental healthFeelingIntensive care medicinePsychology
DOInot available

Abstract

fetched live from OpenAlex

The current state of global health care systems emphasizes the divide between physical and mental illnesses. Despite the growing body of evidence that concludes physical and mental states are interconnected,(1) direct and tangential barriers exist to a model of holistic care. Patients within these systems can undergo a lack of continuity in their care, which may result in poor health management and thus poor health outcomes.(2) In recent years, there has been more realization within the clinical space that non-communicable, chronic diseases such as cardiovascular illness, diabetes, and cancer are associated with higher rates of psychiatric illness.(3, 4) Integrated medical and psychiatric care models are blossoming, yet this persistent distinction betrays that the two fields are seen as separate entities. In terms of clinical care, a large gap still exists that does not recognize the co-morbidity and relationships between communicable diseases and mental illness. A review of the literature from 1980 to 2015 shows how it is increasingly being recognized that infectious illness and mental status are related, using acute gastrointestinal illness (AGI) and depressive and anxiety disorders as a representative case study. AGI has many causative agents, including bacterial, viral, and parasitic organisms.(5) All of these infections have the possibility of altering the gastrointestinal flora, otherwise known as the bacterial microbiota, that functions to aid in digestion, supply nutrients, and defend against invasive colonization.(6) These effects to the microbiome can be temporary or long-term, and it is largely undetermined what governs the potential impacts of the infection.(7) Findings suggest that direct and indirect linkages between AGI and anxiety and depressive disorders exist between three main mechanisms: i) the microbiome,(8) ii) the vagal nervous system,(9) and iii) the immune system.(10) Direct signaling pathways and co-causative agents are evidence of the fact that mental and physical health are not separate entities. Thus, integrated care is necessary in order to achieve the World Health Organization Constitution’s declaration of each human’s fundamental right to “the highest attainable standard of health.” This is defined as a “complete state of physical, mental and social well-being, and not merely the absence of disease or infirmity.”(11) It is important to note that these are new fields of study and much work remains to be done. Expanding animal models to human observational studies and clinical trials will further our understanding of how clinicians can incorporate these connections into practice to effect real change in the lives of their patients.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.019
GPT teacher head0.375
Teacher spread0.356 · 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 designNot applicable
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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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