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.
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.
Authors: Freddie C Hamdy; Jenny L Donovan; J Athene Lane; Malcolm Mason; Chris Metcalfe; Peter Holding; Julia Wade; Sian Noble; Kirsty Garfield; Grace Young; Michael Davis; Tim J Peters; Emma L Turner; Richard M Martin; Jon Oxley; Mary Robinson; John Staffurth; Eleanor Walsh; Jane Blazeby; Richard Bryant; Prasad Bollina; James Catto; Andrew Doble; Alan Doherty; David Gillatt; Vincent Gnanapragasam; Owen Hughes; Roger Kockelbergh; Howard Kynaston; Alan Paul; Edgar Paez; Philip Powell; Stephen Prescott; Derek Rosario; Edward Rowe; David Neal Journal: Health Technol Assess Date: 2020-08 Impact factor: 4.014
Authors: Sean Harrison; Kate Tilling; Emma L Turner; J Athene Lane; Andrew Simpkin; Michael Davis; Jenny Donovan; Freddie C Hamdy; David E Neal; Richard M Martin Journal: Cancer Causes Control Date: 2016-11-09 Impact factor: 2.506
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