3事例でテストステロン低下が後の出生率低下に先行します。新しいホルモン・行動・受胎データがBERMの中間段階を制約します。
翻訳が完成するまで、このページの一部は英語で表示されます。
Research update · 9 September 2026
Finnish population samples, the regional US MMAS cohort and Israeli clinical data document lower testosterone before a later national TFR decline episode. This supports temporal precedence in these cases. The effect size, exact lag and cause remain separate calibration questions.
Lower T: observation-window end
2002
Later TFR peak
2010
TFR decline begins
2011
Age-group and birth-cohort comparisons in samples collected in 1972, 1977 and 2002. The preliminary report appeared in 2006 and was archived in 2008; the journal article followed in 2013.
Lower T: observation-window end
1997
Later TFR peak
2007
TFR decline begins
2008
Table 3: 500 → 444 ng/dL in 1987–89 versus 1995–97, at comparable median ages of 65 and 64. Regional, older men compared with a later national fertility trend.
Lower T: observation-window end
2015
Later TFR peak
2017
TFR decline begins
2018
All 30 age-specific means for ages 20–49 are lower in 2013–15 than in 2006–09. Values digitized from Figure 1A; clinical samples, four observation windows.
The spaces between these dates are calendar gaps between observation windows, not estimates of a common biological lag. Age groups within one window are not independent time points.
A later decline episode is a post-2000 local TFR peak followed by at least three annual decreases and a lower value five years later. The three dates also agree across alternative fertility sources. This descriptive comparison used previously seen data; it is not a prospective forecast. UN WPP 2024i
Download the timing assessment, including qualified and non-supporting casesThe wider assessment retains differences: Denmark’s total-T result weakens after BMI adjustment; South Africa’s included follow-up shows no preceding total-T decline. These three cases concern later decline episodes, not the beginning of every country’s historical fertility transition.
The new collection contains 71 published component estimates and summaries, not 71 independent studies. NHANES adds individual hormone and behavior records. Overlapping publications remain grouped by study family.
6,638 measured T · 4,040 linked to sexual frequency
Men aged 18–69 in three repeated cross-sectional surveys. In our exploratory weighted analysis at ages 20–49 (n = 2,982), the odds ratio for at least weekly vaginal or anal sex was 0.99 per +100 ng/dL (95% CI 0.93–1.07), adjusted for age, BMI, survey cycle and examination time. No clear uniform slope; this endpoint is not fertile-window intercourse.
+0.47 sexual-activity events/day at 12 months
Randomized treatment versus placebo in 1,161 men aged 45–80 with low T, low libido and cardiovascular disease or risk increased the composite activity measure (95% CI 0.11–0.83). Events include more than intercourse. Finkelstein’s experiments also separate testosterone and estradiol contributions. Neither result supplies a natural population T slope.
Weeks to months in suppression/recovery studies
Serum T and intratesticular T are different states: testosterone treatment can suppress gonadotropins and intratesticular T. In a pooled recovery analysis of 1,549 men, the median time to recover 20 million sperm/mL was 3.4 months (95% CI 3.2–3.5). These experiments do not support a fixed 10–15-year tissue-response lag.
First sperm: 7 months · pregnancy: 21 months
Medians in a retrospective gonadotropin-treatment cohort of 35 men with hypogonadotropic hypogonadism and azoospermia (IQRs 5–13 and 18–30 months). Sperm production and time to pregnancy are distinct transitions. This is not a universal delay for healthy populations.
18.8% versus 27.5%; adjusted OR 0.65
In an observational male-T analysis within a fertility-treatment trial, live births occurred in 21/112 low-T and 184/669 other couples. The adjusted 95% CI was 0.38–1.12. The direction is compatible with the proposed link, but uncertain; male testosterone was not randomized.
Baseline T predicts fatherhood; T then falls
Among 624 men followed for 4.5 years, higher baseline waking T predicted subsequent partnered fatherhood; new fathers then showed lower T. Prospective baseline measurements must be separated from hormonal changes after parenthood.
Hormones can affect behavior and gamete production through different responses and delays. The probability of conception per cycle conditions each transition on earlier stages:
A: an at-risk cycle; P: partner contact; X: sperm exposure in the fertile window; H: hormone history; Z: relationship context, intentions and contraception; Q: semen quality; F: female reproductive state.
Births follow conceptions through gestational survival and delay. TFR is aggregated from age-specific live-birth rates. Correlated hormone, behavior and semen effects must be integrated jointly; four assumed 20% reductions can count shared effects repeatedly.
Candidate response shapes include a regularized spline, a saturating curve, and a nearly flat population-range response with a stronger deficiency effect. Fit their shape and state-dependent delays, then compare predictions on countries or periods excluded from fitting.
Model boundary: Lindgren-derived geometry remains the physical premise. These studies supply empirical downstream biology; BERM proposes their conditional composition. The L2 operator’s gauge, physical scale, tissue kernels and sign, and the human hormone-to-TFR transfer remain open. This update does not calibrate an EMF cause. FieldState may supply physical observations only.
カルシウム · 酸化還元 · ホルモン産生
Qinのライディッヒ細胞実験は電磁場条件下のカルシウム関連信号、酸化還元、テストステロンを結びます。構成要素実験はCaMKIとNUR77によるStAR制御、コレステロール類似体による輸送障害の迂回、オートファジーによる基質供給を特定します。
産生量、血中濃度、受容体応答、生殖の成功は異なる観測です。
共通機構と研究を調べる時間的順序は特定の後期TFR低下局面に関する結果です。総Tは遊離T・精巣内T・受容体作用とは異なります。集団全体への移行と環境要因の特定は未解決です。
The data explorer includes two published NHANES periods (1988–1991 and 1999–2004), with fully adjusted testosterone means and confidence intervals. These estimates account for age, race/ethnicity, body size, smoking and alcohol; they describe an adjusted comparison rather than an annual population trajectory.
Explore the US hormone and health data →ホルモン濃度と作用は別の観測量です。BERMは直列連鎖全体を追跡するため、総Tが不変でも結合、送達、受容体、下流シグナルの変化を除外できません。
Reading a hormone measurement
Total testosterone counts free and protein-bound hormone together. Tissue action also depends on the receiving system.
Total T includes all three forms shown here. The symbols illustrate forms, not their proportions. T marks the hormone; protein outlines are schematic.
Availability, receptor function and downstream signal use are separate steps. The testicular local environment is also distinct from the sampled circulation.
| Total testosterone | The combined concentration in the sampled blood; it does not directly measure receptor function. |
|---|---|
| Free testosterone | The unbound fraction, measured or estimated with a stated method and binding assumptions. |
| Tissue response | A separate functional outcome. It cannot be read directly from either blood concentration alone. |
SHBGとアルブミンは同じ総濃度でも遊離ホルモン量を変え、精巣内Tは別区画です。
AR/ZIP9量、親和性、受容体後利得は、血清総Tの比例変化なしに組織作用を変え得ます。
証拠境界：SHBG/遊離T生理とSertoli細胞ARの必要性は確立した構成要素です。2605 MHzラット研究はZIP9を示しましたが短期精子障害はなく、24人の急性MRI試験ではT/SHBG変化がありませんでした。慢性ヒト校正は未解決です。 Narinx ほか (2022)i · De ほか (2004)i · Yu ほか (2023)i · Møllerløkken ほか (2012)i
Santiら 2025年は同時ホルモントレンドに基づく鑑別診断を導入しました：
中枢刺激低下に整合しますが、局所ステロイド産生の制約は併存し得ます。
代償性LHは精巣産生の制約に整合します。カルシウム、酸化還元、時計、基質供給が機構候補を特定しますが、ホルモンパターンだけでは原因を決められません。
T低下と低LHは中枢刺激の減少と整合的
BERMは中枢調節とライディッヒ細胞の局所能力の両方を含みます。低いTと低値または不適切な正常値のLHは中枢刺激低下に整合しますが、精巣のカルシウム、酸化還元、時計、コレステロール供給の制約との併存を除外しません。血中の二つの値だけでは環境要因や標的でのホルモン利用を特定できません。
以下の歴史的比較は候補となる曝露パターンです。BERMは両曝露群の中枢・局所作用を許容し、各行は対応した測定で調べる仮説です。
| EDC | EMF | |
|---|---|---|
| LH反応 | 中枢・局所状態に依存 | 中枢・局所状態に依存 |
| 投与量地理学 | 化学工業と農業を追跡 | 電化と無線密度を追跡 |
| 種間パターン | 排出地点近くの水生種 | すべての家畜化レベルでグラディエント |
| 時間的開始 | 1960年以降（大量プラスチック） | 1920年以降（電化）；1990年以降加速（無線） |
統合機構は中枢経路に加えて局所的な電磁場–ステロイド産生の研究経路を含みます。化学的・物理的摂動は共通のカルシウム、酸化還元、産生機構へ合流し得ます。寄与を分けるのは実験条件、中間測定、時間であり、LH–Tだけではありません。SHBG、遊離T、受容体応答はさらに別の段階です。
推定累積EMF暴露で配列された7種/集団が生殖低下との用量反応関係を示しています：
r = 0.84, p = 0.017, n = 7種グループ
異質な低下測定とEMF負荷推定を持つ種間の生態学的相関。種は体サイズ、寿命、世代時間、交絡因子が異なります。用量反応と整合しますが証明ではありません。これは従来の説明にも同様に当てはまります。
Derived prediction · L* level
This section describes predictions derived from the BERM framework that have not yet been directly tested. They are presented as testable hypotheses, not established findings.
次の検証：学習から除外した国や期間で状態依存の反応曲線と遅延分布を比較します。時間的先行、予測改善、曝露の原因特定を分けて検証します。
予測を見る →