Lecture 15 - Tobacco As A Cause Of Disease Flashcards

1
Q

Which cancers does tobacco have sufficient evidence of causing?

A
  • lung cancer
  • nasal cavity and nasal sinus cancers
  • oropharyngeal canceer
  • laryngeal cancer
  • oesophageal cancer
  • stomach cancer
  • cervical cancer
  • liver cancer
  • pancreatic cancer
  • urinary tract cancer
  • bladder cancer
  • myeloid leukemia
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2
Q

Diseases that have sufficient evidence to be caused by smoking: CV disease and resp disease

A

1) CV disease
- abdominal aortic aneurysm
- atherosclerosis
- cerebrovascular disease
- coronary heart disease

2) Respiratory disease
- COPD
- pneumonia
- asthma
- impaired lung function

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3
Q

Sufficient evidence that smoking causes Repriductive diseases + other diseases

A
  • reduced fertility
  • foetal death
  • pregnancy complication
  • pre-term delivery
  • low birthweight
  • SIDS
  • cataract
  • low bone density
  • hip fracture
  • peptic ulcer disease
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4
Q

4 steps for establishing causality

A
  • the exposure precedes the outcome
  • the association is unlikely to be due to chance
  • the association is unlikely to be due to bias
  • the association is unlikely to be due to confounding
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5
Q

Other criteria for causality

A
  • the association is strong
  • there is a dose-response relationship
  • the association is consistent
  • the association is coherent with other epidemiological data
  • the association is specific
  • the association is biologically plausible
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6
Q

Evidence that smoking precedes outcome

A
  • cigarette smoking is generally in early adult life
  • lung cancer is rare under 40 years of age and peaks in frequency very late in life
  • association demonstrated in a number of large, long lasting cohort studies
  • lung cancer rare before 40-50
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7
Q

Studies: smoking and life years

A
  • men who smoked only cigarettes and continued smoking died on average 10 years younger than lifelong smokers
  • cessation at age 60, 50, 40 or 30 years gained about 3, 6, 9, 10 years of life expectancy
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8
Q

Why is the smoking and lung cancer association unlikely to be due to bias

A
  • very strong association

- case-control studies and cohort studies have given similar results

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9
Q

What are possible confounding factors that could alter the assocation

A
  • demographics
  • occupation
  • age
  • pollution
  • alcohol
  • those are controlled by statistical models
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10
Q

Smoking and lung cancer : dose-response

A
  • the longer you’ve been smoking, the higher your chances of cancer
  • if you stop, kind of goes back to baseline
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11
Q

The associatin is coherent with other information

A
  • prevalence of smoking in men began to rise around the turn of the century, lung cancer mortality began to rise in the 1940s
  • women started smoking much later than men, lung cancer mortality rise began later
  • 20 years delay between smoking and cancer
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12
Q

The association is biological;y plausible

A
  • cigarette smoke contains over 200 different chemical compounds that can increase the incidence of cancer in experimental studies
  • condensates of tobacco smoke painted on mouse skin cause skin cancer
  • respiratory tract tumours caused in dogs, rats and hamsters forced to inhale tobacco smoke
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13
Q

The association is reversible

A
  • cessation at 30 avoids almost all of adverse effects on survival compared with continuing smokers
  • if you stop you can gain some of your years of life expectancy back
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14
Q

Attributable risk

A

= Iexposed - Iunexposed

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15
Q

Attributable fraction

A

= (Iexposed - Iunexposed)/ I exposed x 100

  • the proportion of the disease in an exposed group that is due to exposur
  • x% of lung cancer among smokers is attributable to smoking
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16
Q

Attributable fraction of smoking in Australia

A
  • up to 2/3 in current smokers can be attributed to smoking
  • cessation reduces mortality compared with continuing to smoke, with cessation earlier in lige resulting in greater reductions
17
Q

Population attributable fraction

A
  • multiply by the proportion of the population which is exposed to that exposure to get an estimate of impact in population as a whole
  • x% of disease in australia is attributable to smoking and therefore preventable by reducing smoking prevalence
  • will depend on prevalence of smokers, whereas attributable fraction doesnt