We cannot use this type of evidence to promote eating chocolate as a safeguard against depression, writes associate Prof of Nutrition and Dietetics at Griffith University, BEN DESBROW. 

A RECENT study published in the journal “Depression and Anxiety” has attracted widespread media attention. Media reports said eating chocolate, in particular, dark chocolate, was linked to reduced symptoms of depression.

Unfortunately, we cannot use this type of evidence to promote eating chocolate as a safeguard against depression, a serious, common and sometimes debilitating mental health condition.

This is because this study looked at an “association” between diet and depression in the general population. It did not gauge causation. In other words, it was not designed to say whether eating dark chocolate “caused” a reduction in depressive symptoms.

What did the researchers do?

The authors explored data from the United States National Health and Nutrition Examination Survey. This shows how common health, nutrition and other factors are among a representative sample of the population.

People in the study reported what they had eaten in the previous 24 hours in two ways. First, they recalled in person, to a trained dietary interviewer using a standard questionnaire. The second time they recalled what they had eaten over the phone, several days after the first recall.

The researchers then calculated how much chocolate participants had eaten using the average of these two recalls.

Dark chocolate needed to contain at least 45% cocoa solids for it to count as “dark”.

The researchers excluded from their analysis people who ate an implausibly large amount of chocolate, people who were underweight and/or had diabetes.

The remaining data (from 13,626 people) was then divided in two ways. One was by categories of chocolate consumption (no chocolate, chocolate but no dark chocolate, and any dark chocolate). The other way was by the amount of chocolate (no chocolate, and then in groups, from the lowest to highest chocolate consumption).

The researchers assessed people’s depressive symptoms by having participants complete a short questionnaire asking about the frequency of these symptoms over the past two weeks.

The researchers controlled for other factors that might influence any relationship between chocolate and depression, such as weight, gender, socioeconomic factors, smoking, sugar intake and exercise.

What did the researchers find?

Of the entire sample, 1332 (11 per cent) of people said they had eaten chocolate in their two 24 hour dietary recalls, with only 148 (1.1 per cent) reporting eating dark chocolate.

A total of 1009 (7.4 per cent) people reported depressive symptoms. But after adjusting for other factors, the researchers found no association between any chocolate consumption and depressive symptoms.

However, people who ate dark chocolate had a 70 per cent lower chance of reporting clinically relevant depressive symptoms than those who did not report eating chocolate.

When investigating the amount of chocolate consumed, people who ate the most chocolate were more likely to have fewer depressive symptoms.

What are the study’s limitations?

While the size of the dataset is impressive, there are major limitations to the investigation and its conclusions.

First, assessing chocolate intake is challenging. People may eat different amounts (and types) depending on the day. And asking what people ate over the past 24 hours (twice) is not the most accurate way of telling what people usually eat.

Then there’s whether people report what they actually eat. For instance, if you ate a whole block of chocolate yesterday, would you tell an interviewer? What about if you were also depressed?

This could be why so few people reported eating chocolate in this study, compared with what retail figures tell us people eat.

Finally, the authors’ results are mathematically accurate, but misleading.

Only 1.1 per cent of people in the analysis ate dark chocolate. And when they did, the amount was very small (about 12g a day). And only two people reported clinical symptoms of depression and ate any dark chocolate.

The authors conclude the small numbers and low consumption “attests to the strength of this finding”. I would suggest the opposite.

Finally, people who ate the most chocolate (104-454g a day) had an almost 60 per cent lower chance of having depressive symptoms. But those who ate 100g a day had about a 30 per cent chance. Who’d have thought four or so more grams of chocolate could be so important?

This study and the media coverage that followed are perfect examples of the pitfalls of translating population-based nutrition research to public recommendations for health.

My general advice is, if you enjoy chocolate, go for darker varieties, with fruit or nuts added, and eat it mindfully.

Author BEN DESBROW is an associate professor in Nutrition and Dietetics at Griffith University. This article was originally published on The Conversation. 

Blind peer review

CHOCOLATE manufacturers have been a good source of funding for much of the research into chocolate products. 

While the authors of this new study declare no conflict of interest, any whisper of good news about chocolate attracts publicity. I agree with the author’s scepticism of the study.

For dark chocolate, just 1.1 per cent of people in the study consumed dark chocolate (at least 45 per cent cocoa solids) at an average 11.7g a day. There was a wide variation in reported clinically relevant depressive symptoms in this group. So, it is not valid to draw any real conclusion from the data collected.

For total chocolate consumption, the authors accurately report no statistically significant association with clinically relevant depressive symptoms.

However, they then claim eating more chocolate is of benefit, based on fewer symptoms among those who ate the most.

In fact, depressive symptoms were most common in the third-highest quartile (who ate 100g chocolate a day), followed by the first (4-35g a day), then the second (37-95g a day) and finally the lowest level (104-454g a day). Risks in sub-sets of data such as quartiles are only valid if they lie on the same slope.

The basic problems come from measurements and the many confounding factors. This study can’t validly be used as justification for eating more chocolate of any kind.