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Record W7071465870

The Tobacco Health Toll

2005· article· en· W7071465870 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2005
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
FundersHealth CanadaEuropean Commission
KeywordsTollTobacco harm reductionPublic healthTobacco smokeTobacco in AlabamaSnusDiseaseTobacco use
DOInot available

Abstract

fetched live from OpenAlex

Introduction With the increasing realization of the devastating effects tobacco use has, and the heavy toll it exacts on the health of individuals, the health of the young, the wellbeing of families and societies, and the economies of countries, the need for a clear, comprehensive document covering the full range of the negative effects tobacco and its use has on human health was apparent. This publication sums up and simplifies the answers to the questions that the public, individuals and special groups have, and is intended to fill the wide but often underestimated gap in the public’s knowledge concerning the vast spectrum of tobacco-related health hazards. It is expected therefore, that this publication will be of interest to people from all walks of life, including school and university students, physicians and nurses, as well as the public in general. Tobacco and tobacco smoke contain thousands of chemicals. Many of these chemicals are well known to be toxic, carcinogenic, atherogenic, teratogenic and addictive; many have no known safe level of exposure. The chemicals found in tobacco and tobacco smoke include nicotine, tar, carbon monoxide, acetaldehyde, hydrogen cyanides, arsenic, chromium, DDT, formaldehyde, benzene, N-nitrosamines, cadmium, nickel, beryllium and vinyl chloride. Globally, one person dies from tobacco use every 6.5 seconds; tobacco kills around 5 million smokers each year, or the equivalent of 13 699 people per day. This is in addition to the suffering caused through tobacco-related diseases and the burden of disease on individuals, families and society as a whole. Studies have shown that people who start smoking in their teens (as more than 70% do), and continue to do so for two decades or more will die 20–25 years earlier than those who have never smoked, thus losing some of the most productive years of their lives. Lung cancer and heart disease are two of the most common health problems encountered by smokers, but the general public is largely unaware that there are a wide range of other diseases and ill-effects associated with tobacco use which are not as widely publicized. This publication lists the range of diseases and illnesses caused through smoking, and shows how the harmful effects of smoking can damage nearly every organ and system in the human body. Women and smoking deserve special attention as a result of the negative and serious health impacts on smoking women and their offspring, in addition to particular health concerns related to the use of contraceptives and women’s frequent involuntary exposure to environmental tobacco smoke. Children, who represent the building blocks of the future, are a large and significant segment of the population who are involuntarily exposed to the harm that tobacco can cause. Society needs to acknowledge the harm that environmental tobacco smoke exposure causes to the health of children and exert efforts to protect them from exposure to this smoke. The importance of cessation and reduced exposure to tobacco smoke cannot be overemphasized. Adults need to abstain from tobacco use, not only to protect themselves, but to protect the young and future generations from falling prey to deadly tobacco-related diseases. It is also important to raise public awareness of the fact that modifications made to the shape, intensity and flavour of tobacco products is just the tobacco industry’s way of masking the truth about the deadly effects of tobacco use. The issue of environmental tobacco smoke has been an arena of intense struggle between health advocates and the tobacco industry as it affects smokers and non-smokers alike, but also because it addresses more directly the question of choice when faced with the health hazards caused through tobacco. This issue has the greatest potential to shape the outcome of tobacco control efforts.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.147
Threshold uncertainty score0.492

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.1470.064

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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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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