Methods: Prospective study between January 2012 to December 2014 including 1100 patients. Participants were consecutive male patients of 40 years of age or older, presenting with LUTS. Comprehensive assessment, including history, physical examination, BMI calculation and serum PSA. Patients with history of TURP, carcinoma prostate, urethral stricture or with a history of any trans urethral procedure were excluded.
Results: All the patients were Indian with a mean age of 58.18 years. The mean serum PSA level had no significant difference across three BMI categories (p > 0.05). Mean PV was gradually larger with increasing BMI value (normal weight 33.02 cc; overweight 36.52 cc; obese 37.75 cc; p < 0.001). BMI was found to have correlation with PV (rs= 0.132; p < 0.001) but not with PSA (rs= 0.039; p 0.191) and IPSS (rs= 0.013; p 0.760).
Conclusions: We establish a positive correlation of BMI with prostate volume among Indian ethnic patients presenting with LUTS. We found no significant association of BMI with serum PSA and IPSS.
Keywords: Benign prostatic hyperplasia; Growth factors; Lower urinary tract symptoms, Metabolic syndrome, Prostate neoplasm, Prostate volume, Prostate carcinoma, Quality of life
India is the leading country in obesity after United States and China, contributing 30 million obese populations globally [9]. Obesity had been associated with higher biochemical and radiation failure after radical prostatectomy, higher Gleason grade in literature [10]. Association between PV, serum PSA and obesity had been investigated in few studies in American [11], East Asia (China, Korea) [12], European [13], having mixed results.
To the author's knowledge, this is the first such kind of study which observes the association between BMI, prostate volume and serum PSA in patients presenting with lower urinary tract symptoms (LUTS) from India representing South Asia region and possible clinical relevance.
No significant differences were observed in IPSS among BMI categories. Use of alpha blocker, and combination with 5 alpha reductase inhibitor (5-ARI) did not reveal any significant differences among BMI categories.
BMI had a significant impact on the PV. Mean PV was gradually larger with increasing BMI value (normal weight 33.02 cc; overweight 36.52 cc; obese 37.75 cc; p < 0.001) [Table-2].
BMI as continuous variables was analyzed using Spearman's correlation [Table 3]. BMI was found to have correlation with PV (rs= 0.132; p <0.001) but not with PSA (rs= 0.039; p 0.191) and IPSS (rs= 0.013; p 0.760) [Figure-1].
In our study, we observed no significant correlation between serum PSA value and BMI in male patients presenting with LUTS (rs=0.039). In literature PSA and BMI relationship had been studied in asymptomatic patients of different ethnic group and found inverse or no significant correlation [Table-4] [23-26]. The underlying mechanism for the BMI and serum PSA relationship is still unidentified. The hypothesis supporting inverse relationship include hemodilution and low androgen level. In obese patients due to high volume of distribution inverse correlation measured [27]. Obesity affects hormonal milieu by increasing free and total estradiol, lowering free and total testosterone and sex hormone binding globulin level [28]. This inverse result could be due to confounding; because high BMI patients usually had a high cholesterol level requiring statin therapy which leads to decrease in serum PSA level.
We observed no association between BMI and LUTS measured by IPSS, even on stratification by alpha blocker alone or combination with 5-ARI (rs=0.013). Kristal et al [29] and Lee et al. [30] observed positive correlation between BMI and LUTS while many other studies found no significant association between BMI and LUTS.
The strengthening features of our study include: (1) Prospective cross-sectional study where anthropometric measurements and blood sampling done on the first visit. (2) We studied the association of BMI with PV and serum PSA in patients having LUTS not in asymptomatic population, so including clinically coherent cohort. (3) To the author's knowledge this is the first prospective study from Indian ethnicity even from the South Asia region studying the association between BMI and PV
Clinical parameters |
Total N=1100 |
BMI (17.50-22.99) N1 (%) =343(31.18) |
BMI (23.00-27.99) N2 (%)=638(58) |
BMI >28.00 N3 (%)=119(10.82) |
Age(years); Mean± SD |
58.18 ±10.36 |
58.75 ± 9.34 |
57.63 ±10.90 |
59.53 ±10.65 |
PSA (ng/ml) |
1.93 ± 1.79 |
1.98 ± 1.76 |
1.87 ± 1.78 |
2.11 ± 1.96 |
IPSS (Median; IQR) |
10 (7-14) |
11 (6-18) |
10 (6-12) |
10 (8-14) |
PV (cc.) Mean ± SD |
35.56 ± 3.62 |
33.02 + 3.15 |
36.52 ±3.68 |
37.75 ± 3.94 |
Alpha Blocker n (%) Yes No |
180(16.34) 920(83.66) |
51(14.86) 292(85.14) |
115(18.03) 523(81.97) |
14(11.76) 105(88.24) |
Alpha + 5-ARI n (%) Yes No |
34 (3.09) 1066 (96.91) |
10 (2.92) 333 (91.08) |
18 (2.82) 620 (97.18) |
6 (5.04) 113 (94.96) |
Clinical parameters |
BMI(17.50 22.99) N1=343(31.18) |
N1/N2 P value |
BMI(23.0027.99) N2=638(58) |
N2/N3 P value |
BMI >28.00 N3=119(10.82) |
N3/N1 P value |
Age(years); Mean + SD |
58.75 + 9.34 |
0.1521 |
57.63 ± 10.90 |
0.7634 |
59.53 ± 10.65 |
0.0814 |
PSA (ng/ml) |
1.98 ± 1.76 |
0.8501 |
1.87 ± 1.78 |
0.4787 |
2.11 ± 1.96 |
0.1702 |
IPSS (Median; IQR) |
11 (6-18) |
0.0589 |
10 (6-12) |
0.0946 |
10 (8-14) |
0.0721 |
PV (cc.) Mean ± SD |
33.02 + 3.15 |
0.0001 |
36.52 ± 3.68 |
0.0010 |
37.75 + 3.94 |
0.0009 |
Alpha Blockern (%) Yes No |
51(14.86) 292(85.14) |
0.1510 |
115(18.03) 523(81.97) |
0.3817 |
14(11.76) 105(88.24) |
0.7310 |
Alpha+ 5-ARI n (%) Yes No |
10 (2.92) 333 (91.08) |
0.4200 |
18 (2.82) 620 (97.18) |
0.4612 |
6 (5.04) 113 (94.96) |
0.9770 |
BMI |
PV |
PSA |
IPSS |
|
BMI |
0.132* |
0.039 |
0.013 |
|
<0.001# |
0.191 |
0.76 |
||
PV |
0.132* |
0.68 |
0.178 |
|
<0.001# |
0.071 |
<0.001 |
||
PSA |
0.039 |
0.68 |
-0.004 |
|
0.191 |
0.071 |
0.721 |
||
IPSS |
0.013 |
0.178 |
-0.004 |
|
0.76 |
<0.001 |
0.721 |
We identified certain limitations of our study. Being cross section observational nature of study, this study cannot institute cause and effect relationship. We used BMI as the only measure of obesity, which has its own limitation of classifying man with large muscle mass but less fat as obese or overweight.
Published studies on relationship between BMI and PV |
||||
Reference |
Ethnicity |
Type of study |
Sample size |
BMI/ PV Relationship |
Sarma et al 2002 [26] |
Genesee County, Michigan (American) |
Case-control |
364 |
Positive |
Signorello et al. 1999 [27]
|
Greater Athens, Greece |
Case-control |
209 |
NS |
Dahle et al 2002 [28] |
Shanghai, China |
|
502 |
NS |
Glynn et al 1985 [29] |
Veterans Affairs Normative Aging Study Boston |
Longitudinal study |
2036 |
Positive |
Meigs et al 2001 [30] |
Massachusetts Male Aging Study |
|
1709 |
NS |
Parson's et al. 2005 [31] |
The Baltimore Longitudinal Study of Aging.
|
Prospective cohort study |
422 |
Positive |
Published studies on relationship between BMI and PV |
||||
Reference |
Ethnicity |
Sample size |
Mean PSA |
BMI/PSA relationship |
Kim et al. 2007 [32] |
Korean |
8,640 |
1.1 |
Inverse |
Ando et al. 2008 [33] |
Japanese |
5,246 |
0.8 |
Inverse |
Chia et al. 2009 [34] |
Chinese |
2,410 |
1.5 |
Inverse |
Werny et al. 2007 [35]
|
All White Mexican American Black |
2,396 1,476 485 435 |
0.9 0.9 0.9 0.9 |
Inverse NS NS |
Rundle et al. 2008 [36] |
White (82%) |
3,152 |
0.9 |
Inverse |
- Lalitha K, Suman G, Pruthvish S, Mathew A, Murthy NS. Estimation of Time Trends of Incidence of Prostate Cancer –an Indian Scenario. Asian Pac J Cancer Prev. 2012;13(12):6245-6250.
- Wei JT, Calhoun E, Jacobsen SJ. Urologic diseases in America project: benign prostatic hyperplasia. J Urol. 2005; 173(4):1256-1261.
- Stroup SP, Palazzi-Churas K, Kopp RP. Trends in adverse events of benign prostatic hyperplasia (BPH) in the USA, 1998 to 2008. BJU Int. 2012;109(1):84-87. doi: 10.1111/j.1464-410X.2011.10250.x.
- Mc Vary KT. BPH: epidemiology and comorbidities. Am J Manag Care. 2006;12(5 Suppl):S122-8.
- McVary KT, Roehrborn CG, Avins AL, Barry MJ, Bruskewitz RC, Donnell RF, et al. Update on AUA guideline on the management of benign prostatic hyperplasia. J Urol. 2011;185(5):1793-1803. doi: 10.1016/j.juro.2011.01.074.
- Bratt O, Lilja H. Serum markers in prostate cancer detection. Curr Opin Urol. 2015;25(1):59-64. doi: 10.1097/MOU.0000000000000128.
- Jae Ouk Ahn, Ja hyeon ku. Relationship between serum prostate-specific antigen levels and body mass index in healthy younger men. Urology. 2006;68(3):570-574. doi: 10.1016/j.urology.2006.03.021.
- Cornu JN, Cancel-Tassin G, Cox DG, Roupret M, Koutlidis N, Bigot P, et al. Impact of Body Mass Index, Age, Prostate Volume, and Genetic Polymorphisms on Prostate-specific Antigen Levels in a Control Population. Eur Urol. 2016;70(1):6-8. doi: 10.1016/j.eururo.2016.01.027.
- 'Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: A systematic analysis for the Global Burden of Disease Study 2013'. Lancet. 2015;386(9995):743-800. doi: 10.1016/S0140-6736(15)60692-4.
- Freedland SJ, Aronson WJ, Kane CJ, Presti JC Jr, Amling CL, Elashoff D, et al. Impact of obesity on biochemical control after radical prostatectomy for clinically localized prostate cancer: a report by the Shared Equal Access Regional Cancer Hospital database study group. J Clin Oncol. 2004;22(3):446-453.
- Rohrmann S, Smit E, Giovannucci E, Platz EA. Associations of obesity with lower urinary tract symptoms and noncancer prostate surgery in the Third National Health and Nutrition Examination Survey. Am J Epidemiol. 2004;159(4):390-397.
- Park JH, Cho BL, Kwon HT, Lee CM, Han HJ. Effect of body mass index and waist circumference on prostate specific antigen and prostate volume in a generally healthy Korean population. J Urol. 2009;182(1):106-110; discussion 110-1. doi: 10.1016/j.juro.2009.02.130.
- Laven BA, Orsini N, Andersson SO, Johansson JE, Gerber GS, Wolk A. Birth weight, abdominal obesity and the risk of lower urinary tract symptoms in a population based study of Swedish men. J Urol. 2008;179(5):1891-1895; discussion 1895-6. doi: 10.1016/j.juro.2008.01.029.
- WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157–163.
- Karastergiou K, Mohamed-Ali V. The autocrine and paracrine rolesn of adipokines. Mol Cell Endocrinol. 2010 ;318(1-2):69-78. doi: 10.1016/j.mce.2009.11.011.
- Colao A, Marzullo P, Spiezia S, Ferone D, Giaccio A, Cerbone G, et al: Effect of growth hormone (GH) and insulin-like growth factor I on prostate diseases: an ultrasonographic and endocrine study in acromegaly, GH deficiency, and healthy subjects. J Clin Endocrinol Metab. 1999;84(6):1986-1991.
- Harman SM, Metter EJ, Blackman MR, Patricia KL, Ballentine Carteret H. Serum levels of insulin-like growth factor I (IGF-1), IGF-II, IGF-binding protein-3 and prostate-specific antigen as predictors of clinical prostate cancer. J Clin Endocrinol Metab. 2000;85(11):4258–4265.
- Sarma AV, Jaffe CA , Schottenfeld D , Dunn R , Montie JE , Cooney KA, et al. Insulin-like growth factor-1, insulin-like growth factor binding protein-3, and body mass index: clinical correlates of prostate volume among black men. Urology. 2002;59(3):362–367. doi:10.1016/S0090-4295(01)01546-1.
- Signorello LB, Tzonou A, Lagiou P, Samoli E, Zavitsanos X, Trichopoulos D. The epidemiology of benign prostatic hyperplasia: a study in Greece. BJU Int. 1999;84(3):286–291.
- Dahle SE, Chokkalingam AP, Gao YT, Deng J, Stanczyk FZ, Hsing AW. Body size and serum levels of insulin and leptin in relation to the risk of benign prostatic hyperplasia. J Urol. 2002;168(2):599–604.
- Glynn RJ, Campion EW, Bouchard GR, Silbert JE. The development of benign prostatic hyperplasia among volunteers in the Normative Aging Study. Am J Epidemiol. 1985;121(1):78–90.
- Meigs JB, Mohr B, Barry MJ, Collins MM, McKinlay JB. Risk factors for clinical benign prostatic hyperplasia in a community-based population of healthy aging men. J Clin Epidemiol. 2001;54(9):935–944.
- Kim YJ, Han BK, Hong SK, Byun SS, Kim WJ, Lee SE. Body mass index influences prostate-specific antigen in men younger than 60 years of age. Int J Urol. 2007;14(11),1009-12.
- Ando R, Nagaya T, Hashimoto Y, Suzuki S, Itoh Y, Umemoto Y, et al. Inverse relationship between obesity and serum prostate-specific antigen level in healthy Japanese men: a hospital-based cross-sectional survey, 2004-2006. Urology. 2008;72(3):561-5. doi: 10.1016/j.urology.2008.04.008.
- Chia SE, Lau WK, Chin CM, Tan J, Ho SH, Lee J, et al. Effect of ageing and body mass index on prostate-specific antigen levels among Chinese men in Singapore from a community-based study. BJU Int. 2009;103(11):1487-1491. doi: 10.1111/j.1464-410X.2008.08246.x.
- Werny DM, Thompson T, Saraiya M, Freedman D, Kottiri BJ, German RR, et al. Obesity is negatively associated with prostate-specific antigen in U.S. men, 2001-2004. Cancer Epidemiol Biomarkers Prev. 2007;16(1),70-76.
- Ohwaki K, Endo F, Muraishi O, Hiramatsu S, Yano E. Relationship Between Prostate-specific antigen and hematocrit: Does hemodilution lead to lower PSA concentrations in men with a higher body mass index? Urology. 2010;75(3):648-652. doi: 10.1016/j.urology.2009.06.099.
- Giovannucci E, Rimm EB, Chute CG, Kawachi I, Colditz GA, Stampfer MJ, et al: Obesity and benign prostatic hyperplasia. Am J Epidemiol. 1994;140(11):989-1002.
- Kristal AR, Arnold KB, Schenk JM, Neuhouser ML, Weiss N, Goodman P, et al. Race/ethnicity, obesity, health related behaviors and the risk of symptomatic benign prostatic hyperplasia: results from the prostate cancer prevention trial. J Urol. 207;177(4):1395-4000; quiz 1591.
- Lee RK, Chung D, Chughtai B, Te AE, Kaplan SA. Central obesity as measured by waist circumference is predictive of severity of lower urinary tract symptoms. BJU Int. 2012;110(4):540-554 . doi: 10.1111/j.1464-410X.2011.10819.x.