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Is a stressed population an unhealthy one?

While I was working on young cod for my honours thesis, I joined a project testing whether the stress hormones wildlife biologists use to judge a population’s health actually reflect it. It was my first meta-analysis.

Led by Dr. Levi Newediuk, with me as second author. Published in Conservation Physiology, 2023.

Why I asked

Stress hormones are one of the easiest things to measure in a wild animal, from a blood sample, a feather or even droppings. So conservation biologists often read high levels as a sign that a population is in trouble. That only works if hormones really track health. Checking it meant pulling together results from across the literature, and this project was where I first learned how to do that.

What I did

  1. Screened the literature

    Helped sift 519 search results down to the studies that measured both stress hormones and health in the same animals.

  2. Drafted the analysis code

    Helped write the R code that combines 109 results from 41 species and tests whether hormones and health move together.

  3. Drafted the paper

    Helped write the manuscript. Published in Conservation Physiology in 2023, with me as second author.

What I found

A population’s stress hormones didn’t reliably tell us how healthy it was.

On average, stress pushed hormones up and health down, as expected. But study by study, the two often didn’t move together, even in populations of the same species. Meanwhile, more than half of recent conservation studies we checked (18 of 35) had judged a population’s health from its hormones without testing that link.

72 of 107 results landed where you’d expect…

…but 35 didn’t.

Hormones up, health downAny other result
Each dot is one comparison from one study: how much a stressor changed hormone levels (left to right) and health (up and down). The large dot is the average across all studies, with the range it likely falls in. Extreme results are drawn closer in so every dot fits. Redrawn from the paper’s published data.

Why that isn’t a link

To test whether hormones and health actually move together, we fit a model that compares the two directly across studies while allowing for how precise each study was. Its best estimate of the link sits almost exactly at zero, and the likely range stretches from a strong link in the expected direction to a strong link in the opposite one. In plain terms, the data can’t say whether more stress hormone means worse health, better health or neither.

The likely range covers almost every possible link…

…and only 48% of it falls on the expected side, about a coin flip.

The curve shows how strongly the model believes in each possible link between hormone change and health change, from a perfect negative link on the left to a perfect positive one on the right. The shaded part is the 95% range.

Why it varies

In the paper we set out why a hormone reading can mislead. First, why high stress hormones are usually a bad sign. Then three cases where reading them that way gets it wrong.

1 of 4

In the paper:

These are sketches of the ideas, not the paper’s data. The gauges show direction only.