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

2020 ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen
Keyword(s):  
Body Mass Index ◽  
Prostate Specific Antigen ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Specific Antigen ◽  
Rank Test ◽  
P Value ◽  
Medical University ◽  
Medical Examinations ◽  
The Relationship

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.

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

2020 ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen
Keyword(s):  
Body Mass Index ◽  
Prostate Specific Antigen ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Specific Antigen ◽  
Rank Test ◽  
P Value ◽  
Chinese Adult ◽  
Medical University ◽  
The Relationship

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.

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
Keyword(s):  
Body Mass Index ◽  
Linear Regression ◽  
Prostate Specific Antigen ◽  
Body Mass ◽  
Fasting Blood Glucose ◽  
Specific Antigen ◽  
Systolic Pressure ◽  
Linear Regression Models ◽  
Psa Density ◽  
The Relationship

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.

scholarly journals HUBUNGAN ANTARA AKTIVITAS FISIK DENGAN OBESITAS DI PUSKESMAS TEGALREJO, KOTA SALATIGA

2019 ◽  
Vol 10 (1) ◽  
pp. 256
Author(s):  
Jeckzen Norisan Turege ◽  
Angkit Kinasih ◽  
Maria Dyah Kurniasari
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Health Center ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Pearson Correlation ◽  
P Value ◽  
Pearson Correlation Coefficient ◽  
The Relationship ◽  
Active Patients

AbstrakObesitas dapat dialami oleh semua golongan usia, maupun jenis kelamin. Kemajuan teknologi memberikan dampat positif dan negatif. Dampak positifnya banyak kegiatan menjadi lebih praktis dan cepat, sedangkan dampak negatifnya manusia menjadi semakin malas untuk bergerak. Berkurangnya aktivitas fisik mangakibatkan penyimpanan energi yang tersimpan dalam jaringan lemak, yang menyebabkan kegemukan. Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis hubungan antara aktivitas fisik dengan obesitas di Puskesmas Tegalrejo Kota Salatiga Jawa Tengah. Jenis penelitian yang digunakan yaitu penelitian deskriptif kuantitatif. Responden adalah pasien aktif di Posyandu Puskesmas Tegalrejo. Jumlah responden sebanyak 59 orang. Data yang diperoleh dalam penelitian ini adalah data primer dan data sekunder. Berdasarkan uji korelasi Indeks Massa Tubuh (IMT) terhadap nilai aktivitas fisik dengan analisis uji Pearson diperoleh p-value 0,000 < 0,05 dan nilai koefisien korelasi r pearson -0,505 yang ini menunjukkan bahwa adanya hubungan yang signifikan antara Indeks Massa Tubuh (IMT) dengan aktivitas fisik pada pasien aktif di Posyandu Puskesmas Tegalrejo, Kota Salatiga. Sedangkan nilai koefisien korelasi r pearson berkorelasi sedang, dan ditunjukkan dengan tanda negatif (-) yang berarti hubungan yang terjadi bersifat berlawanan arah. Sehingga semakin rendah aktifitas fisik maka semakin tinggi nilai IMT atau sebaliknya.Kata Kunci: aktivitas fisik, obesitas. AbstractObesity can be suffered by all age groups, as well as gender. Technological advances provide positive and negative effects. The positive impact of many activities becomes more practical and fast, while the negative impact of humans becomes increasingly lazy to move. Reduced physical activity results in the storage of energy stored in fat tissue, which causes obesity. The purpose of this study was to determine and analyze the relationship between physical activity and obesity at the Tegalrejo Health Center in Salatiga City, Central Java. This type of research is quantitative descriptive research. Respondents were active patients at the Tegalrejo Health Center Posyandu. The number of respondents was 59 people. The data obtained in this study are primary data and secondary data. Based on the correlation test of Body Mass Index (BMI) to the value of physical activity with Pearson test analysis obtained p-value of 0.000 <0.05 and Pearson correlation coefficient value of -0.505 which indicates that there is a significant relationship between Body Mass Index (BMI) and Physical activity in active patients at the Tegalrejo Health Center Posyandu, Salatiga City. While the value of the Pearson correlation coefficient is moderately correlated, and is indicated by a negative sign (-) which means that the relationship is in the opposite direction. So the lower the physical activity, the higher the BMI value or vice versa.Keywords: obesity, physical activity.

1480: The Association of Body Mass Index and Serum Prostate Specific Antigen Levels in a Population-Based Study

2005 ◽  
Vol 173 (4S) ◽  
pp. 401-401
Author(s):  
Javier Hernandez ◽  
Jacques Baillargeon ◽  
Brad Pollock ◽  
Alan R. Kristal ◽  
Patrick Bradshaw ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Prostate Specific Antigen ◽  
Body Mass ◽  
Specific Antigen ◽  
Population Based ◽  
Population Based Study ◽  
Serum Prostate Specific Antigen

scholarly journals Should Prostate Specific Antigen be Adjusted for Body Mass Index? Data From the Baltimore Longitudinal Study of Aging

2009 ◽  
Vol 182 (6) ◽  
pp. 2646-2652 ◽  
Author(s):  
Stacy Loeb ◽  
H. Ballentine Carter ◽  
Edward M. Schaeffer ◽  
Luigi Ferrucci ◽  
Anna Kettermann ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Longitudinal Study ◽  
Prostate Specific Antigen ◽  
Body Mass ◽  
Specific Antigen ◽  
Index Data ◽  
Body Mass Index Data ◽  
Baltimore Longitudinal Study

scholarly journals Correlation Between Transabdominal Sonographically Measured Prostate Volume with Anthropometric Factor in Normal Healthy Subjects

2012 ◽  
Vol 2 (1) ◽  
pp. 29-32
Author(s):  
Mahmuda Monowara ◽  
Akhter Uddin Ahmed ◽  
Abu Saleh Mohiuddin ◽  
Mohammad Abu Taher ◽  
Zinat Nasrin ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Linear Relationship ◽  
Correlation Coefficient ◽  
Healthy Subjects ◽  
Prostate Volume ◽  
Prostate Gland ◽  
P Value ◽  
Prostatic Volume ◽  
The Relationship ◽  
Anthropometric Factor

To investigate the relationship between total prostate volume with anthropometric factor like age, height, weight and BMI. This can be useful in assessing the normality of prostate gland.Method: In 42 normal healthy subjects the length, anteroposterior and transverse diameters of prostate gland were measured & prostate volumes were calculated by using prolate ellipse formula. Age, height, weight of the subjects were recorded and body mass index calculated accordingly.Result: Correlation co-efficient or r test was used to find out the relationship between the variables. P value <0.05 was considered as statistically significant. Total prostatic volume correlation coefficient with age, weight and BMI were 0.907, 0.883 and 0.352 (p<0.001) respectively, but no significant correlation (r=0.133; p>0.05) was found between prostatic volume and height.Conclusion: Total prostate volume has a strong significant linear relationship & age, weight & BMI. But height does not correlate significantly with total prostate volume. Thus anthropometric factors like age, weight, BMI can therefore be used to predict prostate volume prior to ultrasound. DOI: http://dx.doi.org/10.3329/birdem.v2i1.12359 Birdem Med J 2012; 2(1) 29-32

scholarly journals Relationship Between Prostate-specific Antigen, Age, and Body Mass Index in a Prostate Cancer Screening Population

2012 ◽  
Vol 35 (5) ◽  
pp. 490-492 ◽  
Author(s):  
Luke E. Pater ◽  
Kimberly W. Hart ◽  
Brian J. Blonigen ◽  
Christopher J. Lindsell ◽  
William L. Barrett
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
Cancer Screening ◽  
Prostate Specific Antigen ◽  
Body Mass ◽  
Prostate Cancer Screening ◽  
Specific Antigen ◽  
Screening Population
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