Tag Archive for: hazard ratio

Nothing to Fear from the Multivitamin Study

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If you’re concerned about taking your multivitamin, I think you can lower the concern. Is it still possible that there may be individuals who may have a unique set of genes and covariates that may increase the risk? Sure, it’s possible, but this study brought us no closer to finding out if that’s true. Here’s why.

The Issues with the Study

The problems lie in what the researchers didn’t do.

While the researchers used 13 different covariates, they didn’t break the data down by macronutrient or micronutrient. They used the Healthy Eating Index, but that ranks the quality of the diet from 0 to 100; that’s not the same as breaking the subjects’ diets down by intake of vegetables or antioxidants. It’s possible that someone who ate more vegetables could have higher antioxidant levels, which could contribute to getting too much of a nutrient by taking a multivitamin. The same would be true if they also were taking a complete multivitamin-multimineral and getting too much calcium or iron. That might have given valuable information to the people most at risk if there were such a relationship.

The researchers also did not give any explanation for mechanisms through which a multivitamin could increase mortality. That’s not unusual, because they didn’t examine any nutrient factors—but still, what was the point of saying there may be an increase in mortality, but nothing more than that?

The most likely explanation is that the results happened by chance because they tested multivitamin intake only twice early in the studies. Think of what you were eating 20 years ago. Has that changed? It’s reasonable to expect that some peoples’ habits changed, just as their dietary intake may have changed. We don’t know because they couldn’t go back and do the questionnaires every year or two, or even every five years. They suggest that this was a problem due to the latency of the data, and they were correct in my opinion.

The Bottom Line

This study illustrates the problem with going back to analyze data collected decades ago: you’re limited by the data you have rather than actually planning the study from the beginning. It’s an interesting observation after chunking lots of numbers, but it’s not meaningful in the real world due to the lack of ability to do an adequate analysis of the data.

What are you prepared to do today?

        Dr. Chet

Reference: JAMA Network Open. 2024;7(6):e2418729.

Will Taking a Multivitamin Increase Your Risk of Death?

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Close to a month ago, the health headlines were full of warnings about multivitamins. A long-time researcher even did a video to explain the study. This headline was based on a study that demonstrated an increase in Hazard Ratio if a person took a multivitamin every day, compared to occasionally or never. On the face of it, this seemed to be a compelling study. Data were combined from three large studies that totaled over 390,000 participants. The data were taken from health and nutrition questionnaires first given more than 20 years ago, with the mean follow up time of about 21 years. The questionnaires asked about a variety of demographic data as well as health and nutrition habits; the nutrition data were the old-style FFQ form.

After analyzing the data, researchers found a 4% increase in mortality risk in those participants who took a multivitamin every day compared to those who did not. Should you be worried? Aside from the number of covariates they considered, and you know how those combinations can add up, there were at least two problems. I’ll cover those on Saturday.

The Winners of the Challenge

Everyone who responded to the 4th of July challenge did an amazing job—no one had fewer than 20 vegetables and fruits. Where it got a little murky was in the herbs and spices; I’ll take the blame for that as I didn’t explain it as well as I should. For the overall total, I’m going to declare a tie between RE and KB; they each had close to 60 foods that qualified! For vegetables alone, VK topped the list with 23 and MW topped the fruit list with 13. Great job, everybody!

What are you prepared to do today?

        Dr. Chet

Reference: JAMA Network Open. 2024;7(6):e2418729.

Nutritional Epidemiology: Specification Curve Analysis

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Did you look up quadrillion? It’s a 1 with a whole lot of 0s—15 to be exact.

When I finished Saturday’s Memo, the researchers had chosen an area of nutritional epidemiology to focus on: the analytics used to analyze the data. They began with the premise that there are many ways to analyze any data set. They then identified published research studies that examined the consumption of red meat and mortality. They identified 15 publications reporting on 24 studies that examined the effect of red meat on all-cause mortality.

They weren’t doing a meta-analysis to see all the results of all the studies combined; they used a newer technique called specification curve analysis. They identified the type of data used in the analysis, the number of variables, the number of covariates, as well as demographic data. From that information, they then calculated the total number of ways each data set could be analyzed—the specification curve analysis. Turns out that number is 10 quadrillion! That exceeds the capacity of the computing power of a small country, and I can’t even imagine how much electricity that would consume.

They decided to take a randomized sample of the possible ways to analyze the data with specific variables and covariates in each and came up with 1,440 different approaches to analyzing the data. They ran additional tests on the data and eliminated 232 approaches because the data exceeded norms.

Then they ran the remaining analytic approaches on data from several years of the NHANES study. What did they find?

  • The median hazard ratio (HR) was 0.94 for the effect of red meat on all-cause mortality. That means the mortality risk was decreased 6% if the subject ate red meat.
  • HRs ranged from 0.51 to 1.75; 435 approaches yielded HRs more than 1.0 (increased risk) and 773 less than 1.0 (decreased risk). Most analyses showed that eating red meat reduced the HR, and thus reduced the risk of dying.
  • Of all the results, 48 (almost 4%) were statistically significant; of those, 40 indicated that red meat reduced all-cause mortality and 8 that red meat increased all-cause mortality.

Does this mean that eating red meat decreases your risk of dying early? We’re not done yet. We’ll put it all in perspective on Saturday.

What are you prepared to do today?

        Dr. Chet

References:
1. https://www.sensible-med.com/p/the-definitive-analysis-of-observational
2. Journal of Clinical Epidemiology 168 (2024) 111278

Do Artificial Sweeteners Increase Cancer Risk?

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Last week, my health news feed filled up with headlines that almost all sounded like this: “Artificial Sweeteners Linked to Higher Cancer Risk!” This isn’t the first study to suggest that relationship and it won’t be the last. This French epidemiological study of over 100,000 subjects collected data for more than seven years. One of the things I almost always criticize is data collection using food frequency questionnaires. Not this time.

The subjects completed at least two food diaries per year. Portions were assessed by comparing with pictures of portions sizes. What they did particularly well is to list all the foods that contained artificial sweeteners, including all brand names; then they tested most of the foods in the lab to verify the presence of artificial sweeteners. Researchers collected as many confounding variables as they could to account for everything that contributes to cancer.

After the statistical analysis, the overall hazard ratio demonstrated a 13% increase in the risk of cancer. Aspartame and acesulfame potassium were the artificial sweeteners with the highest hazard ratio among all those tested. Based on this information, do we need to avoid artificial sweeteners or at least lower the amounts we consume? I’ll talk about that Saturday.

What are you prepared to do today?

        Dr. Chet

Reference: https://doi.org/10.1371/journal.pmed.1003950