In Japan, a study was conducted following the lives of
91,510 non-smoking wives aged 40 and above for fourteen years. Although these wives were non-smokers,
their husbands were reported to be smokers. Mortality rates of the wives were studied to see if there
was any statistical evidence showing a correlation between the husbands’
smoking habits and the wives’ risk of lung cancer. The study showed that the heavier the husband was smoking,
raised the risk of the wife being diagnosed with lung cancer. Interestingly enough, the study also
showed that women in agricultural settings had higher rates of lung cancer than
the women living in urban settings.
One explanation for this was that the couples in agricultural settings
come more in contact with each other than those in urban settings. The experiment also showed that there
wasn’t a correlation between smoking and any other disease or cancers. There were a few cases of asthma and
emphysema, but not enough to be statically significant.
This
study had many interesting components to it. One being the result that only lung cancer among the wives
was prevalent; no other cancers and diseases were statistically significant. Although the experiment at hand was
focusing on smoking and lung cancer, the researchers also looked into other
habits of the husbands and how they affected their wives. The drinking habits of the husbands did
not seem to affect their wives’ health.
The thing I found most interesting about this article was the fact that
direct-smokers and second-hand smokers almost have similar ratios of lung
cancer prevalence. The smoking
husbands are putting their wives in as much risk of getting lung cancer as they
are to themselves. This study
should show the smokers how much they’re putting their loves ones at risk even
though these people have chosen not to smoke. So even though these wives were not smoking, they are still
paying the price of their husbands’ actions.
The
study that was conducted was an observational study. These studies are typically advantageous because they are
cheap and they yield conclusive data.
The participants in the study provide their own cigarettes and already
know the risks of smoking and choose to smoke. The data collected for the
experiment was already done in the census, which allowed researchers to observe
a large population. All the
researchers had to do was observe the population and record their
findings. The experiment in itself
is fairly cheap, easy and proves to yield accurate results.
In
my own opinion, I strongly believe that second-hand smoking is a cause of lung
cancer. The results from this
study show that the wives with heavy smoking husbands have a higher risk of
getting lung cancer. The study
also shows that the more men smoke, the more their wives are affected. This shows a direct correlation between
second-hand smoke and the risk of getting lung cancer. The study collected data from all
different regions across Japan; so there was no bias. Variables were accounted for and fixed so the data showed no
other factors that would skew the results. Even after the fixation the results were clear: second-hand
smoke is definitely a cause of lung cancer.
Zoey,
ReplyDeleteI think you did a really fantastic job with this blog assignment. Your points of view and opinions were well thought out and you did a really nice job of explaining them. In particular, I thought that your second paragraph brought to light something that I had glanced over when doing the assignment myself. While I knew that the risk of developing lung cancer was increased greatly for wives of smokers, I did not catch that the ratio was almost as high as that of the direct smokers. I think this is a crucial result of the study to point out, and you did an awesome job of explaining it and revealing why it's important and needs to be addressed. I think you answered all of the questions very well, but I do think there are some aspects of the study that you did not include that could help to even further answer these questions. You did talk about using the census data, but I think it's also important to specifically point out that there were actual records used, such as death certificates and risk-factor records. Additionally, while you mentioned that the sample size did not contain bias since data was collected from all regions, I think it's also important to point out that this was a huge sample size as well, which additionally makes the study more accurate. Overall, I really enjoyed reading your blog and I think you did a great job of fully answering these questions.
Alyssa Perozich
Zoey,
ReplyDeleteGreat summary of the article.
For the second question, I like your realization that the direct and second hand smokers had similar prevalence of lung cancer. You also identified the human side of the issue. How would it make you feel if you put your partner at risk for cancer? The relationship between cancer and smoking had been found in the 1950's, but the question of second hand smoke (which seems obvious) really revolutionized the public health argument against smoking.
Your answer to question 3 is good. Yes, this is an observational study, and specifically, a prospective study. I wonder, though, was this experiment really that inexpensive? There were so many people enrolled! A case-control study, which would have identified those with cancer first, then studied them retrospectively.
In terms of question 4, recall Hill's criteria (from your text book) in determining when a phenomenon is or is not causal. I think you have a sense that there is a causal relationship explained in this study, but on what grounds? Hills criteria could help by referencing strength of association, consistency, specificity, etc. etc.
Erin