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Record W4313057784 · doi:10.18103/mra.v10i9.3126

Evidence of Rising Neurological Mortality and Examining Multiple-Interactive Environmental Causes in the 21stCentury

2022· article· en· W4313057784 on OpenAlexaboutno aff
Colin Pritchard, Anne Silk, Lars Kai Hansen

Bibliographic record

VenueMedical Research Archives · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicHealth, Environment, Cognitive Aging
Canadian institutionsnot available
Fundersnot available
KeywordsLife expectancyDemographyMedicinePopulationDementiaMortality rateDiseaseCause of deathDemographicsDeveloped countryPopulation ageingPediatricsGerontologyEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

Aims: To examine whether increased neurological deaths during 21st Century are predominately due to elderly demographics, or major influences of interactive-multiple environmental contributory factors? We examine WHO Early-Adult-Deaths (55-74yearolds), which is below Western life-expectancy, and total Age-Standardised-Death-Rates (ASDR) controlled by age, sex, and population, to challenge the demographic assumption. Method. Based upon WHO latest global neurological mortality categories, Nervous-Disease-Deaths and Alzheimer’s & Other Dementias, which provides the Combined Neurological Death, rates per million (pm), for the twenty-one West-Developed-Nations (WDN) over the period. Early-Adult-Death rates based upon numbers of deaths, divided by 55-74 population and WHO total ASDR during the 21st Century. Increases between Over 75’s population and Over 75’s neurological mortality is compared using Odds Ratios. Numbers of deaths are indicative of family and services pressures. Results: Every country’s 55-74yearolds Nervous-Disease-Deaths rates were higher than Alzheimer’s & Dementia Deaths, ten countries Nervous-Disease-Deaths rose higher than Alzheimer’s & Dementias during Century. Highest Combined Deaths and increases were Finland 1006 per million (pm) up 44%, USA 710pm, rose 39% and UK 653pm a rise of 32%, countries average of 25%, though Belgium, Canada and France rates fell. Highest ASDR were Finland 973pm, up 104%, USA 592pm, rose 76%, UK 553pm, increase 170%. Lowest were Japan 112pm, yet up 90%, Greece 184pm, rose 64% and Austria 214pm increased 102%, average nation’s 62%. Belgium at 387pm up 34%, Canada 401pm, increased 13% and France ASDR 336pm up 11%. Population compared with total neurological amongst Early-Adult-Deaths and Over 75’s, ratios of change, were respectively 1:1.34 and 1:2.21, yielding an Odds ratios of 1:1.65 French total neurological numbers were 40,594 rose to 71,543, up 76%, UK 24,601 to 103,550 increased 321% and the USA 174,708 to 436,438 rising 150%. Discussion: We reject the hypothesis that neurological increases were mainly dues to demographics. Our results support by new studies across the continents, with their findings of significant causal multiple-interactive-environmental pollutants, including, endocrine disruptive chemicals, air pollution, organophosphates, plastics, petrochemicals, impact of low ubiquitous prolonged electro-magnetism, etc, associated with neuro-degenerative disease, especially Early-Onset-Dementia, below Western life-expectancy. Conclusions: Governments should seek urgent research to explain this new epidemic.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.173
GPT teacher head0.410
Teacher spread0.237 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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