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A population-level decline in serum testosterone levels in American men.

Home Talk Testing and Information – Hormones A population-level decline in serum testosterone levels in American men.

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      Sam Ridgeway
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      Abstract

      CONTEXT:

      Age-specific estimates of mean testosterone (T) concentrations appear to vary by year of observation and by birth cohort, and estimates of longitudinal declines in T typically outstrip cross-sectional decreases. These observations motivate a hypothesis of a population-level decrease in T over calendar time, independent of chronological aging.

      OBJECTIVE:

      The goal of this study was to establish the magnitude of population-level changes in serum T concentrations and the degree to which they are explained by secular changes in relative weight and other factors.

      DESIGN:

      We describe a prospective cohort study of health and endocrine functioning in randomly selected men of age 45-79 yr. We provide three data collection waves: baseline (T1: 1987-1999) and two follow-ups (T2: 1995-1997, T3: 2002-2004).

      SETTING:

      This was an observational study of randomly selected men residing in greater Boston, Massachusetts.

      PARTICIPANTS:

      Data obtained from 1374, 906, and 489 men at T1, T2, and T3, respectively, totaling 2769 observations taken on 1532 men.

      MAIN OUTCOME MEASURES:

      The main outcome measures were serum total T and calculated bioavailable T.

      RESULTS:

      We observe a substantial age-independent decline in T that does not appear to be attributable to observed changes in explanatory factors, including health and lifestyle characteristics such as smoking and obesity. The estimated population-level declines are greater in magnitude than the cross-sectional declines in T typically associated with age.

      CONCLUSIONS:

      These results indicate that recent years have seen a substantial, and as yet unrecognized, age-independent population-level decrease in T in American men, potentially attributable to birth cohort differences or to health or environmental effects not captured in observed data.

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