Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

OBJECTIVE: • To assess whether a seasonal change in prostate specific antigen (PSA) levels can be detected in men recruited to a large clinical trial. PATIENTS AND METHODS: • A total of 66 969 men aged 50-69 years were drawn from a large study conducted at general practices across the UK between 2002 and 2007. • Trigonometric algorithms and regression methods were used to assess the relationship between the time of year and serum PSA and blood pressure measurements. • We obtained local daily mean temperatures and hours of sunlight per day to assess whether these factors were potential mechanisms for seasonal variation in PSA levels or blood pressure. • The proportion of participants who would be considered clinically at risk according to their PSA or blood pressure measurement, by month, was also assessed. • The strength of associations between time of year and blood pressure were used to reinforce conclusions from the PSA models. RESULTS: • There was no relationship between time of year and PSA levels (P= 0.11) or between climate and PSA levels (P= 0.42). • No difference was found in the prevalence of clinically raised PSA content by month (P= 0.50). • This lack of an association with PSA content was despite our data being sufficient to provide clear evidence of an association between blood pressure and time of year (systolic P < 0.001; diastolic P < 0.001), and to show that this association was largely explained by climatic factors (temperature and sunlight). CONCLUSION: • There was no pattern in PSA levels by time of year, air temperature or levels of sunlight in this cohort, so there is no need to take these factors into account when reviewing PSA results.

Original publication

DOI

10.1111/j.1464-410X.2011.10174.x

Type

Journal article

Journal

BJU Int

Publication Date

11/2011

Volume

108

Pages

1409 - 1414

Keywords

Aged, Algorithms, Blood Pressure, Cross-Sectional Studies, Humans, Logistic Models, Male, Middle Aged, Prostate-Specific Antigen, Seasons, Sunlight, Temperature, United Kingdom