J Clin Endocrinol Metab. 2007 Jan;92(1):196-202.
A population-level decline in serum testosterone levels in American men.
Travison TG, Araujo AB, O'Donnell AB, Kupelian V, McKinlay JB.
New England Research Institutes, 9 Galen Street, Watertown, Massachusetts 02472, USA.
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.
A population-level decline in serum testosterone levels in American men.
Travison TG, Araujo AB, O'Donnell AB, Kupelian V, McKinlay JB.
New England Research Institutes, 9 Galen Street, Watertown, Massachusetts 02472, USA.
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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