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    Testosterone worldwide

    Experimental Logs
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    • bradB
      brad @Insr
      last edited by

      @insufferable Do you have timeseries data on TSH? Would be fascinating to see and estimate the prevalence of hypothyroidism.

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      • I
        Insr @brad
        last edited by Insr

        @brad Yeah that would be awesome. I don't have enough data to do that properly at the moment, but I will probably be able to show the USA's rising TSH at least from the late 80's to today.

        my current TSH spreadsheet: https://docs.google.com/spreadsheets/d/e/2PACX-1vTOE6ppgrSLoLynKe75kYphJ5rwoBgIJhLtN1W4czknpeO1-yZzAc2qCP1Wt21tl_e0ci7K0-Y4mbcC/pubhtml

        current TSH map:
        alt text
        (based on single datapoints mostly, so parts of it could be totally different in reality!)

        First thing I notice is that a lot of it (but not all?) correlates with the testosterone map
        alt text

        which is unsurprising because thyroid and testosterone are strongly connected it seems
        Hypothyroid brazillians went from 279 ng/dl to 715 ng/dl testosterone when given 0.2 mg T3 for a month
        https://onlinelibrary.wiley.com/doi/epdf/10.1002/j.1939-4640.1988.tb01038.x

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        • I
          Insr
          last edited by Insr

          2015-16 NHANES data, 1000+ men across the USA:
          alt text

          Sugar over 350g = 558 ng/dl testosterone
          300-350 = 488
          250-300 = 459
          200-250 = 465
          150-200 = 467
          100-150 = 462
          75-100 = 450
          50-75 = 450
          25-50 = 463
          12.5-25 = 410
          7-12.5 = 495
          0-7 = 467

          Carbs (percent)
          Over 70% = 425 ng/dl
          60-70 = 470
          50-60 = 464
          40-50 = 457
          30-40 = 449
          20-30 = 471
          Under 20 (only 6 guys) = 368

          Fat (percent)
          over 50% = 441
          40-50 = 446
          30-40 = 460
          20-30 = 472
          10-20 = 452
          Under 10 (only 5 guys) = 481

          Protein (percent)
          Over 30% = 477
          20-30 = 466
          15-20 = 447
          10-15 = 458
          0-10 = 494

          Fiber
          Over 60 (highgest is 85.4) = 495
          50-60 = 516
          40-50 = 443
          30-40 = 446
          20-30 = 480
          10-20 = 456
          0-10 = 448

          JulofEnochJ 1 Reply Last reply Reply Quote 0
          • JulofEnochJ
            JulofEnoch @Insr
            last edited by

            @insufferable

            This is all great. The maps are a first-rate idea.

            Greift nur hinein ins volle Menschenleben! Ein jeder lebt's, nicht vielen ist's bekannt, und wo ihr's packt, da ist's interessant.

            Ray Peat first-ever interview(July 1987 on UofO Student Radio)

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            • Norwegian MugabeN
              Norwegian Mugabe
              last edited by

              This is great. Do they not remove people who injects testosterone from these studies? Surely people are not having 2000 naturally? Do you know the correlation between T-levels and screen time?

              Put yourself on fire for peak energy metabolism.

              Ignore, judge, overcommit.

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              • I
                Insr
                last edited by Insr

                Thanks!

                There were just a few guys (3 maybe) on TRT which i should remove but didnt see it before i started graphing.

                I did remove 1 or 2 guys with like 4000 ng/dl which I imagine was steroids.

                There were a few 1000-2000 guys who werent on TRT and i think they are just naturally high test. Hunter gatherer studies show a few guys naturally that high. Out of maybe 70 turkana pastoralists i think there were two guys around 2000 ng/dl. (if i remember correctly)

                Screentime vs Test is a great idea, ill see if i can do it with NHANES.

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                • I
                  Insr
                  last edited by

                  My guess is that the testosterone decline is heavily prenatal in origin.

                  Anogenital distance (AGD) is a mammilian measurement under the control of prenatal testosterone (higher distance = more masculinized = more prenatal testosterone)

                  Infant AGD is high in countries with currently high testosterone in adults, and low in countries with low adult test. For example, Nigeria adult testosterone is about double Mexico adult testosterone, and Nigeria infant AGD is about double Mexico infant AGD. (don't forget that Mexico used to have high testosterone too though, and I would predict that they used to have high AGD as well. Furthermore, test in Nigeria is in fact beginning to drop now in connection with urbanization.) AGD has dropped in concert with test levels in these countries (in the few instances where I have historical AGD data)

                  In several areas, mostly in Asia, I saw data where the old men had the same and even higher testosterone than the young men, despite the fact that testosterone is supposed to decline with age. These old men are exposed to the same endocrine disruptors in adulthood that the young men are. But I think the old men were born BEFORE there was so much prenatal endocrine disruptor exposure. That means that for the rest of their life, their baseline of testosterone is higher: even as it falls with old age, it is still higher than the young man's, whose baseline testosterone was damaged before he was even born. There is a Danish study showing a generational effect like this. At every age from 20 to 80, the previous generation's testosterone was higher than men of the next generation at that same age. They showed that effect going back to their earliest generation, men born in the 1920's. A study on old rural men in Finland in the 70's showed very high testosterone despite their old age. (in the 700s or 800s if I remember correctly) and I saw similar very high results from old men in 1960's Australia (which now has low test), and 70's/80's Texas and New Mexico. What testosterone levels would these men have had as young men? Perhaps 900-1000, which is just what hunter-gatherers have, and what anatomical data from the past suggests as well. These men were a different breed due to less (maybe none at all) PRENATAL exposure to endocrine disruptors.

                  There is a Danish study that discovered the major effect on human infant AGD of one EDC (an antifungal if I remember correctly) applied to the pregnant mother at a specific highly vulnerable point of the pregnancy.

                  Here's a chart showing low testosterone in high pesticide use countries and high testosterone in low pesticide use countries.
                  https://testosteronedecline.com/wp-content/uploads/2022/03/Testosterone-vs-agricultural-chemical-use-in-various-countries.png

                  There's a similar relationship with US locations but my chart of that is out of date and now inaccurate. But testosterone in the Midwest (heavy corn growing region sprayed with atrazine) used to be some of the highest in the country (high 600's) around 1990, and is now about the lowest in the country (in the 300's)
                  More discussion of that here, with some maps and charts: https://testosteronedecline.com/what-us-state-has-the-highest-testosterone/

                  Studies in Latin America (which mostly has atrocious testosterone levels now, although like everywhere it didn't used to be low) show unbelievably low testosterone in pesticide exposed rural men - levels in the 200's. Same with a study on Egyptian farmers. However studies on Thai farmers don't show as big a drop, and studies in the USA on pesticide exposure typically don't show the drop to be that massive either.

                  I can't explain the Thais, but otherwise this lines up with the prenatal exposure story. These Latin Americans and Egyptians live right in the agricultural sprayed area and I bet it's in their food and drinking water much more, so the pregnant mother is exposed to the pesticide heavily. The fetus is highly sensitive to it, takes major damage, and so goes on to be a very low testosterone adult.

                  But the pesticide sprayers in the USA were not exposed to such a crazy amount of pesticide before they were born, as their mothers didn't live right among the farm fields. So even though their adult pesticide use drops their testosterone, it isn't quite as bad.

                  There is a confounding factor though, which is 3rd world conditions - a South African study showed a U-shaped testosterone response to living condition. Tribal testosterone was high, testosterone in favela conditions was low, and testosterone in wealthy suburbs was high again.

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                  • W
                    wester130 @Insr
                    last edited by

                    @insufferable is anyone doing this but studying DHT?

                    There seems to be litte interest in DHT

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                    • I
                      Insr @wester130
                      last edited by

                      @wester130 Not that I know of. I don't remember running across very many studies measuring DHT unfortunately. Although I would predict you could dig up enough studies to get a sense of DHT levels in the US in the past compared to currently.

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                      • I
                        Insr
                        last edited by

                        For the 2021-2023 NHANES data, in order to remove TRT users, I screened out those with testosterone over 600 who also had LH below reference range. Apparently TRT lowers LH and FSH to near zero. I also removed some data that was probably in error.

                        So average testosterone in 2021-2023 was 451 ng/dl - no major difference from 2015-2016's average of 459 ng/dl.

                        2021-2023:
                        20-24: 536
                        25-29: 464
                        30-34: 476
                        35-39: 440

                        2015-2016:
                        20-24: 535
                        25-29: 556
                        30-34: 461
                        35-39: 466

                        2011-2012
                        20-24: 468
                        25-29: 438
                        30-34: 435
                        35-39: 392

                        2003-2004
                        20-24: 673
                        25-29: 537
                        30-34: 541
                        35-39: 589

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