Does sadness make you sick?

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We’ve all heard of being “homesick”, or “heartsick”, or “lovesick”.   Sometimes when we’re extremely sad, we feel the knot in our stomachs, the pressure in our chests, or the confusion and distraction in our minds as the waves of sadness wash over and discombobulate us.

But can being sad really make you physically ill as well as emotionally distraught?

Dr Caroline Leaf declared today on her social media platforms that “Feeling sad can alter levels of stress-related opioids in the brain and increase levels of inflammatory proteins in the blood that are linked to increased risk of comorbid diseases including heart disease, stroke and metabolic syndrome.”

Dr Caroline Leaf is a communication pathologist and a self-titled cognitive neuroscientist.  She believes that our cognitive stream of thought determines our physical and mental health, and can even influence physical matter through the power of our minds.

She also added some further interpretation to her meme: “So this is more evidence that our thoughts do count: they have major epigenetic effects on the brain and body! We need to apply the principles in the Bible and listen to the Holy Spirit – no excuses this year!”

With all due respect to Dr Leaf, the study she quotes doesn’t prove anything of the sort.

Dr Leaf’s meme is a copy and paste of the opening paragraph of a news report published by the university’s PR people to promote their faculty.  This isn’t a scientific summary, it’s a hook to draw attention to an article which amounts to a PR puff piece.  If Dr Leaf had read further into the article, I don’t think she would have been quite so bold in claiming what she did.

The article discussed a study by Prossin and colleagues, published in Molecular Psychiatry [1].  You can read the original study here.  The study specifically measured the change in the level of the activity of the opioid neurotransmitter system and the amount of a pro-inflammatory cytokine IL-18 across two experimental mood states, and in two different groups of volunteers, people with depression, and those without.

For a start, it’s important to note that the study isn’t referring to normal day-to-day sadness.  This was an experimentally induced condition in which a sad memory was rehearsed so that the same feeling could be reproduced in a scanner, and the study was looking at the effect of this sad “mood” on people who were pathologically sad, that is, people diagnosed with major depression.

It’s well known that people with depression are at a higher risk of major illnesses, such as heart attacks, strokes and diabetes [2] The current study by Prossin et al looked experimentally at one possible link in the chain, a link between a neurotransmitter system that’s thought to change with emotional states, and one of the chemical mediators of inflammation.

They found that:

> Depressed people were much sadder to start with, and remained so throughout the different conditions.  The depressed people stayed sadder in the ‘neutral’ phase, and the healthy cohort couldn’t catch them in the ‘sad’ phase.
> Depressed people had a much higher level of the inflammatory marker to start with, and interestingly, this level dropped significantly with the induction of the neutral phase and the sad phase.  What was also interesting was that the level of the inflammatory marker was about the same in the baseline and the sad phase for the healthy volunteers.
> A completely different pattern of neurotransmitter release was seen in the two different groups.  People with depression had an increase in the neurotransmitter release over a large number of areas of the brain, whereas in the healthy controls with normal mood, the sad state actually resulted in a decreased amount of neurotransmitter release, and in a much smaller area within the brain.  This suggests that the opioid neurotransmitter system in the brains of depressed people is dysfunctional.

Affect/Sadness Scores - Prossin et al Molecular psychiatry 2015 Aug 18.

Affect/Sadness Scores – Prossin et al Molecular psychiatry 2015 Aug 18.

IL18 v Mood state/diagnosis - Prossin et al Molecular psychiatry 2015 Aug 18.

IL18 v Mood state/diagnosis – Prossin et al Molecular psychiatry 2015 Aug 18.

Effectively, the results of the study reflect what’s already known – the emotional dysregulation seen in people with depression is because of an underlying problem with the brain, not the other way around.  And, sadness in normal people is not associated with a significant change in the evil pro-inflammatory cytokine.

So, according to Prossin’s article,

  1. normal sadness in normal people is not associated with physical illnesses.
  2. sadness is abnormally processed in people who are depressed, which maybe related to an abnormal inflammatory response, which might explain the known link between depression and increased risk of illness

The article is not “more evidence that our thoughts do count.”  If anything, it shows that underlying biological processes are responsible for our thoughts and emotions and their downstream effects, not the thoughts and emotions themselves.

And unfortunately, it appears that Dr Leaf hasn’t got past the opening paragraph of a puff piece article before jumping to a conclusion which only fits her worldview, not the actual science.

References

[1]        Prossin AR, Koch AE, Campbell PL, Barichello T, Zalcman SS, Zubieta JK. Acute experimental changes in mood state regulate immune function in relation to central opioid neurotransmission: a model of human CNS-peripheral inflammatory interaction. Molecular psychiatry 2015 Aug 18.
[2]        Clarke DM, Currie KC. Depression, anxiety and their relationship with chronic diseases: a review of the epidemiology, risk and treatment evidence. Med J Aust 2009 Apr 6;190(7 Suppl):S54-60.

Dr Caroline Leaf and the obesity overstatement

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Caroline Leaf is on the nutritional warpath.

Our society isn’t the best when it comes to eating right. Fast food and junk food are more attractive options than fresh food, and nearly everyone knows it. Today, the internet is flooded with celebrity chefs and self-titled experts attempting to leverage some profit by advocating their own brand of diet or herb as the simple solution to what is a deceptively complex problem.

Dr Caroline Leaf is a communication pathologist and self-titled cognitive neuroscientist. In recent times she has also jumped on to the nutritional bandwagon, advocating organic gluten free recipes through food-selfies, and reposting Jamie Oliver quotes.

Today’s meme follows a similar line, where she has reposted an image which fits with her personal cognitive bias – a picture of french-fries in a cigarette packet, accompanied by the tag line, “THE OBESITY DEATH RATE IS OVERTAKING CIGARETTE SMOKING. Consume with caution”.

The image is a case study in overstatement. According to the most recent Global Burden of Disease data (currently 2010), the death rate associated with cigarette smoking is currently 91.4 per 100,000 population while the death rate associated with a high BMI is only 48.1 per 100,000 population. Even extrapolating the figures to the current year, the predicted rates would still be 89.1 vs 51.9 respectively, which are still a long way apart. On the current trends, obesity won’t overtake smoking as a global cause of death until 2055. So saying the obesity death rate is overtaking cigarette smoking is like saying that Christmas is coming – it’s technically true, but it’s still a long way off.

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There are a couple of reasons why deaths associated with obesity are rising while the deaths associated with cigarette smoking are falling. The most obvious is that cigarette smoking is decreasing, but treatments for smoking related illnesses are also concurrently improving, so less people are getting sick from cigarette smoking and those that do are less likely to die.

Of course, it’s no secret that more people, especially in the western world, are getting fatter. The old assumption was that obesity contributed to metabolic syndrome which then caused heart disease and type 2 diabetes and a concomitant rise in deaths. However, new evidence casts serious doubt over these assumptions.

In a meta-analysis of the association of mortality to BMI, Flegal, Kit, Orpana, and Graubard (2013) showed that overweight people have a slightly lower death rate than normal weight people, those with mild obesity have the same risk of death as normal weight people, and that the overall risk of all classes of obesity was small (relative risk 1.18 (95% CI, 1.12-1.25)). As a comparison, the risk of death from cigarette smoking is up to 2.66 (Shavelle, Paculdo, Strauss, & Kush, 2008)**.

The key to understanding this paradox is found in another meta-analysis, by Kramer, Zinman, and Retnakaran (2013) They showed that obesity and metabolic dysfunction are separate entities, with metabolically healthy obese people having the same risk of death as metabolically healthy people of normal weight (RR 1.19 (95% CI 0.98 to 1.38)) while metabolically unhealthy people with a normal weight had a risk three times that (RR 3.14 (95% CI, 2.36 to 3.93)).

So the key isn’t whether someone’s obese or not, the key is whether someone’s metabolically healthy or not (which is another blog for another time). According to the latest scientific evidence, the obesity death rate probably isn’t related to obesity after all.

Dr Leaf might be on the nutritional warpath with the right intentions, but her lack of expertise and willingness to fact-check is showing with every meme. If she wants to continue portraying herself as an expert in the area of food and nutrition, she needs to move away from her personal biases and start promoting proper science.

References

Flegal, K. M., Kit, B. K., Orpana, H., & Graubard, B. I. (2013). Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis. JAMA, 309(1), 71-82. doi: 10.1001/jama.2012.113905

Kramer, C. K., Zinman, B., & Retnakaran, R. (2013). Are metabolically healthy overweight and obesity benign conditions?: A systematic review and meta-analysis. Ann Intern Med, 159(11), 758-769. doi: 10.7326/0003-4819-159-11-201312030-00008

Shavelle, R. M., Paculdo, D. R., Strauss, D. J., & Kush, S. J. (2008). Smoking habit and mortality: a meta-analysis. J Insur Med, 40(3-4), 170-178.

Graph data: Institute for Health Metrics and Evaluation (IHME). GBD Database. Seattle, WA: IHME, University of Washington, 2014. Available from http://www.healthdata.org/search-gbd-data. Accessed 15/1/2015

** This means that a smoker is more than twice as likely to die compared to a non-smoker, but an obese person’s risk is only about one fifth more likely to die compared to a person with a normal body mass index.