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Everything in physiology follows the rule that too much…

“Everything in physiology follows the rule that too much can be as bad as too little. There are optimal points of allostatic balance. For example, while a moderate amount of exercise generally increases bone mass, thirty-year-old athletes who run 40 to 50 miles a week can wind up with decalcified…” quote by Robert M. Sapolsky
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““Everything in physiology follows the rule that too much can be as bad as too little. There are optimal points of allostatic balance. For example, while a moderate amount of exercise generally increases bone mass, thirty-year-old athletes who run 40 to 50 miles a week can wind up with decalcified bones, decreased bone mass, increased risk of stress fractures and scoliosis (sideways curvature of the spine)—their skeletons look like those of seventy-year-olds. To put exercise in perspective, imagine this: sit with a group of hunter-gatherers from the African grasslands and explain to them that in our world we have so much food and so much free time that some of us run 26 miles in a day, simply for the sheer pleasure of it. They are likely to say, “Are you crazy? That’s stressful.” Throughout hominid history, if you’re running 26 miles in a day, you’re either very intent on eating someone or someone’s very intent on eating you.””

Robert M. Sapolsky

About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

Too much of anything, even good exercise, can be harmful; balance is essential

In simple terms: Excessive exercise can damage bones

Key Takeaway

Seek balanced exercise routines

Themes

biology balance exercise

Mood

analytical cautious

Type

educational advice

When to use this quote

  • Fitness training
  • health counseling

Key Concepts

Allostatic load bone health moderation

Questions to Reflect On

  • How do you determine your optimal exercise level?
  • What signs indicate you’re over‑training?
A Different Perspective

May neglect individual variability

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