Abstract

If environmental exposures are shown to cause an adverse health outcome, reducing exposure should reduce the disease risk. Links between exposures and outcomes are typically based on ‘associations’ derived from observational studies, and causality may not be clear. Randomized controlled trials to ‘prove’ causality are often not feasible or ethical. Here the history of evidence that tobacco smoking causes lung cancer—from observational studies—is compared to that of low sun exposure and/or low vitamin D status as causal risk factors for the autoimmune disease, multiple sclerosis (MS). Evidence derives from in vitro and animal studies, as well as ecological, case-control and cohort studies, in order of increasing strength. For smoking and lung cancer, the associations are strong, consistent, and biologically plausible—the evidence is coherent or ‘in harmony’. For low sun exposure/vitamin D as risk factors for MS, the evidence is weaker, with smaller effect sizes, but coherent across a range of sources of evidence, and biologically plausible. The association is less direct—smoking is directly toxic and carcinogenic to the lung, but sun exposure/vitamin D modulate the immune system, which in turn may reduce the risk of immune attack on self-proteins in the central nervous system. Opinion about whether there is sufficient evidence to conclude that low sun exposure/vitamin D increase the risk of multiple sclerosis, is divided. General public health advice to receive sufficient sun exposure to avoid vitamin D deficiency (<50 nmol/L) should also ensure any benefits for multiple sclerosis, but must be tempered against the risk of skin cancers.

Highlights

  • Epidemiological studies seek to determine the association between an exposure and a health outcome

  • Exposure of the skin to UV radiation in the UV-B (280–315 nm) wavelengths is the major source of vitamin D in many populations, and vitamin D has known immunomodulatory effects, that could plausibly reduce the risk of multiple sclerosis (MS) [14]

  • Most men in both groups smoked, but the prevalence was higher in cases than controls (99.7% cases; 95.8% of controls; p = 0.00000064) and cases smoked more cigarettes for a longer duration than controls. Their conclusion from the study was that “there is a real association between carcinoma of the lung and smoking” [17]. They went on to study the association between smoking and lung cancer in the 1958 British doctors cohort study [29], where they concluded: “we have found death rates per 1000 per annum from cancer of the lung of 0.07 in non-smokers, 0.93 in cigarette smokers, and 2.23 in cigarette smokers of 25 or more cigarettes a day . . . .we can say that the death rate of cigarette smokers from cancer of the lung has been thirteen times the rate of non-smokers, and that the death rate of heavy cigarette smokers has been over thirty times the rate of non-smokers . . . .”

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Summary

Introduction

Epidemiological studies seek to determine the association between an exposure and a health outcome. The strongest evidence, required for therapeutic studies, derives from a systematic review (with meta-analysis) of well-conducted randomized controlled trials (RCTs) [1] Such trials are not always feasible to assess whether environmental exposures causally alter disease risk. Human studies are inevitably ‘noisy’—individuals are not genetically homogeneous, and few exposures exist in isolation (for example, the physically inactive may be more homogeneous, and few exposures exist in isolation (for example, the physically inactive may be more likely to smoke, eat a poor diet, be overweight, and consume more alcohol), making it difficult to likely to smoke, eat a poor diet, be overweight, and consume more alcohol), making it difficult to delineate the specific exposure that alters disease risk.

The Outcomes
The Exposures
Ecological Studies Provide the First Links between Exposures and Outcomes
Individual-Level
When in Life Does the Relevant Exposure Incur Risk?
Sun Exposure or Vitamin D?
From Observational Studies to Randomized Controlled Trials
Findings
From Association to Causation Using Evidence from Observational Studies
Full Text
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