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Here is a story [0] to support your claim, with testosterone levels declining 1% per year on average [1] [0] https://www.forbes.com/sites/neilhowe/2017/10/02/y
by jijji 5y ago
Here is a story [0] to support your claim, with testosterone levels declining 1% per year on average [1]
[0] https://www.forbes.com/sites/neilhowe/2017/10/02/youre-not-the-man-your-father-was/?sh=62b71ff38b7f https://www.forbes.com/sites/neilhowe/2017/10/02/youre-not-t...
[1] https://www.reuters.com/article/health-testosterone-levels-dc-idUKKIM16976320061101?edition-redirect=uk https://www.reuters.com/article/health-testosterone-levels-d...
- spywaregorilla 5y agoI found this during my own research but did not agree with the conclusions in the reporting. Here's a paper by the same author: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579652/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579652/ Table 4 has the highlights. An extra 10 years of age has an odds ratio of 1.4 and a p value of 0.02. A 10 cm increase in waist size has an odds ratio of 1.9 and a p value less than 0.001. That is to say, this same author found waist size was a stronger predictor of testosterone than age. This study occurs a few years after the one referenced in the article. Here's the actual study which does make the claim that these factors are insufficient on their own to explain age-normalized t levels. Personally I'm not totally convinced by their methods to control here. It's surprising to me that the later cohorts studied were seemingly the same weight but had poorer health metrics for one. The initial cohort also had an age range of 47-71. The later cohort had an age range of 57-80. The average age being 10 years older. I'm not convinced their mixed effect linear model is going to get a good comparison between these too. https://academic.oup.com/jcem/article/92/1/196/2598434?login=false https://academic.oup.com/jcem/article/92/1/196/2598434?login...