scholarly journals Body mass index in relation to prostate-specific antigen-related parameters

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen

Abstract Background Only a few previous studies conducted to assess the association between body mass index (BMI) and prostate-specific antigen (PSA) related parameters have taken prostate volume (PV) and blood volume (BV) into consideration. The objective of this study was to assess the relationship between BMI and parameters of PSA concentrations in Chinese adult men. Methods A total of 86,912 men who have received annual physical examination at the First Affiliated Hospital of Army Medical University from 1 January 2011 to 31 December 2018 were included in this study. Linear regression models were performed to assess the relationship between BMI, PV, BV and PSA, and analyze the correlation between BMI and PSA, PSA density and PSA mass. Results The univariable linear regression showed that PV, BV, systolic pressure (SBP), pulse, fasting blood glucose (FBG) and age were significantly associated with PSA level (P < 0.05). The multivariate linear regression demonstrated that PV, BV, FBG and age were significantly associated with PSA level (P < 0.05). WHR and BMI is negatively associated with PSA and PSA density (P < 0.05), and no statistically significant association was found between PSA mass and WHR and (P = 0.268) or BMI (P = 0.608). Conclusions The findings of this large-sample, hospital-based study in China indicate that PV was positively associated with serum PSA concentrations, while BMI and BV were inversely related with PSA levels. PSA mass can be used to estimate the PSA concentration without being affected by obesity in Chinese men.

2020 ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen

Abstract Purpose Only a few previous studies were conducted to assess the association between body mass index (BMI) and prostate-specific antigen (PSA) related parameters which take prostate volume (PV) and blood volume (BV) into consideration. The objective of this study was to assess the relationship between BMI and parameters of PSA concentrations in Chinese adult male. Methods A total of 86,930 men who have taken annual physical examination at the First Affiliated Hospital of Army Medical University from 1 January 2011 to 31 December 2018 were included in this study. Partial Spearman correlation rank test was performed to assess the relationship between BMI, PV, BV and PSA, and analyze the correlation between BMI and PSA related parameters. Results After adjustment for age, PV (correlation coefficient = 0.227, P-value < 0.001) was positively associated with PSA levels, while BMI (correlation coefficient = -0.057, P-value < 0.001) and BV (correlation coefficient = -0.041, P-value < 0.001) were inversely correlated to PSA concentrations. The analysis also indicated that BMI positively associated with PV and BV. Furthermore, the present study identified that PSA mass (correlation coefficient = 0.001, P-value = 0.763), after adjustment for age, was not affected by obesity in Chinese men.Conclusion The findings of this large-sample, hospital-based study in China indicated that a higher BMI is associated with an increased PV and BV. BMI was negatively associated with PSA and PAS density, and no statistically significant association was found between BMI and PSA mass.


2020 ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen

Abstract Purpose Limit previous studies were conducted to assess the association between body mass index (BMI) and series of prostate-specific antigen (PSA)-related parameters, which taken prostate volume (PV) and blood volume (BV) into consideration. The objective of this study was to assess the relationship between BMI and parameters of PSA concentrations in Chinese men. Methods A total of 86,930 men who had undergone annual medical examinations at the First Affiliated Hospital of Army Medical University between 1 January 2011 and 31 December 2018 were included. Partial Spearman correlation rank test was used to assess the relationship between BMI, PV, BV and PSA, and then estimated the correlation between BMI and series of PSA-related parameters. Results After adjustment for age, PV (correlation coefficient = 0.227, P-value < 0.001) was positively associated with PSA levels, but BMI (correlation coefficient = -0.057, P-value < 0.001) and BV (correlation coefficient = -0.041, P-value < 0.001) inversely correlated to PSA concentrations. Moreover, present study also indicated that BMI positively associated with PV and BV. Furthermore, present study identified that PSA mass (correlation coefficient = 0.001, P-value = 0.763) was not affected by obesity after adjustment for age in Chinese general men.Conclusion The results of this large-sample, hospital-based study in China indicated that a higher BMI might have a bigger PV and larger BV. BMI was negatively associated with PSA and PAS density, and no significantly association was detect between BMI and PSA mass.


2005 ◽  
Vol 173 (4S) ◽  
pp. 401-401
Author(s):  
Javier Hernandez ◽  
Jacques Baillargeon ◽  
Brad Pollock ◽  
Alan R. Kristal ◽  
Patrick Bradshaw ◽  
...  

2021 ◽  
pp. 205141582098403
Author(s):  
Antônio Antunes Rodrigues ◽  
Valdair Muglia ◽  
Emanuel Veras de Albuquerque ◽  
Rafael Ribeiro Mori ◽  
Rafael Neuppmann Feres ◽  
...  

Objective: To identify risk factors for major post-biopsy complications under augmented prophylaxis protocol. The risk factors already described mainly comprise outdated antibiotic prophylaxis protocols. Material and methods: This retrospective cohort study included patients that underwent transrectal ultrasound-guided biopsies, from 2011 to 2016. All patients had received antibiotic prophylaxis with ciprofloxacin and gentamicin. Patients were grouped according to the presence or absence of post-biopsy complications. Demographic variables and possible risk factors based on routine clinical assessment were registered. Correlation tests, univariate and multivariate analyses were used to identify risk factors for post-biopsy complications. Results: Of the 404 patients that were included, 25 (6.2%) presented 27 post-biopsy complications, distributed as follows: acute urinary retention ( n = 14, 3.5%), infections ( n = 11, 2.7%) and hemorrhage ( n = 2, 0.5%). On univariate analysis, patients who presented complications showed higher body mass index and post-voiding residual volumes. Multivariate analysis identified ethnicity and prostate-specific antigen (PSA) density as possible risk factors for biopsy complications. The presence of bacterial resistance identified by rectal swabs did not correlate with the incidence of complications and infections. Conclusions: Non-infectious post-biopsy complications were more frequent than infectious ones in this cohort. Higher post-voiding residual volumes and PSA density, that indicates prostate enlargement, were identified as risk factors and interpreted as secondary to bladder outlet obstruction. The higher body mass index and ethnicity were also identified as risk factors and attributed to the heterogeneity of the patients included. Level of evidence: Not applicable for this multicentre audit.


2017 ◽  
Author(s):  
Christine Hill ◽  
Brian W Weir ◽  
Laura W Fuentes ◽  
Alicia Garcia-Alvarez ◽  
Danya P Anouti ◽  
...  

BACKGROUND Although millions of overweight and obese adults use mobile phone apps for weight loss, little is known about the predictors of success. OBJECTIVE The objective of this study was to understand the relationship between weight loss outcomes and weekly patterns of caloric intake among overweight and obese adults using a mobile phone app for weight loss. METHODS We examined the relationship between weekly patterns of caloric intake and weight loss outcomes among adults who began using a weight loss app in January 2016 and continued consistent use for at least 5 months (N=7007). Unadjusted and adjusted linear regression analyses were used to evaluate the predictors of percentage of bodyweight lost for women and men separately, including age, body mass index category, weight loss plan, and difference in daily calories consumed on weekend days (Saturday and Sunday) versus Monday. RESULTS In adjusted linear regression, percentage of bodyweight lost was significantly associated with age (for women), body mass index (for men), weight loss plan, and differences in daily caloric intake on Mondays versus weekend days. Compared with women consuming at least 500 calories more on weekend days than on Mondays, those who consumed 50 to 250 calories more on weekend days or those with balanced consumption (±50 calories) lost 1.64% more and 1.82% more bodyweight, respectively. Women consuming 250 to 500 calories or more than 500 calories more on Mondays than on weekend days lost 1.35% more and 3.58% more bodyweight, respectively. Compared with men consuming at least 500 calories more on weekend days than on Mondays, those consuming 250 to 500 calories or more than 500 calories more on Mondays than on weekend days lost 2.27% and 3.42% less bodyweight, respectively. CONCLUSIONS Consistent caloric intake on weekend days and Mondays or consuming slightly fewer calories per day on Mondays versus weekend days was associated with more successful weight loss. CLINICALTRIAL ClinicalTrials.gov NCT03136692; https://clinicaltrials.gov/ct2/show/NCT03136692 (Archived by WebCite at http://www.webcitation.org/6y9JvHya4)


2009 ◽  
Vol 182 (6) ◽  
pp. 2646-2652 ◽  
Author(s):  
Stacy Loeb ◽  
H. Ballentine Carter ◽  
Edward M. Schaeffer ◽  
Luigi Ferrucci ◽  
Anna Kettermann ◽  
...  

2012 ◽  
Vol 35 (5) ◽  
pp. 490-492 ◽  
Author(s):  
Luke E. Pater ◽  
Kimberly W. Hart ◽  
Brian J. Blonigen ◽  
Christopher J. Lindsell ◽  
William L. Barrett

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