Open Access

Serum prostate-specific antigen levels and type of work in tire manufacturing workers

  • Soo-Hyeon Kim1,
  • Keun-Ho Jang2,
  • Won-Ju Park1,
  • Do-Hyeong Kwon1,
  • Won-Yang Kang1,
  • Hyeong-Min Lim1 and
  • Jai-Dong Moon1Email author
Annals of Occupational and Environmental Medicine201426:50

https://doi.org/10.1186/s40557-014-0050-z

Received: 21 July 2014

Accepted: 22 October 2014

Published: 4 November 2014

Abstract

Objectives

This study measures serum prostate-specific antigen (PSA) levels in tire-manufacturing workers, and attempts to find occupational or non-occupational factors that related to their PSA levels.

Methods

A total of 1,958 healthy male workers (1,699 were production workers and 259 were office workers) took PSA measurement for analysis.

Results

After adjusting for age, body mass index, hypertension, regular exercise, alcohol drinking and smoking, which were significantly related to serum PSA levels or known related factors of serum PSA levels, the geometric mean PSA levels were significantly high in the office workers (p = 0.017), the older age group (p < 0.001), the group with hypertension (p = 0.046) and the group of individuals that do not exercise regularly (p = 0.015) and the office workers were more likely to have a serum PSA level of ≥4.0 (OR 7.73, 95% CI: 2.78-21.46) or 2.5 ng/mL (OR 2.74, 95% CI: 1.49-5.08). After stratifying by age and adjusting aforementioned covariates, office workers 50 years of age and older had the significantly higher geometric mean PSA levels (p = 0.017) and were more likely to have a serum PSA level of ≥4.0 ng/mL (OR 12.90, 95% CI: 3.65-45.64) or 2.5 ng/mL (OR 3.90, 95% CI: 1.64-9.25) than production workers 50 years of age and older.

Conclusions

This study showed that serum PSA levels were significantly higher among the group with hypertension or the group of individuals that did not exercise regularly or group of office workers who were considered to have lesser physical activities.

Keywords

Occupations Physical activity Prostate-specific antigen Sedentary lifestyle

Introduction

Prostate cancer is one of the fastest increasing cancers for the last twenty years. It is the most commonly diagnosed solid cancer among men in Europe and the United States [1]-[4]. Prostate cancer has the second highest mortality rate, right next to lung cancer in the United States. In the 2000s, the incidence rate has steadily elevated in Korea as well. The incidence of prostate cancer was approximately 28 out of 100,000 male people according to Korea Central Cancer Registry 2011 report in Korea. Prostate cancer is the fifth highest male cancer in Korea [5]. One of the most important tests in the diagnosis of prostate cancer is serum prostate-specific antigen (PSA) test. PSA is glycoprotein produced in the prostate gland, which increases in cases of prostate cancer. PSA with its high sensitivity is used in the screening test for prostate cancer [6],[7].

Since PSA test was introduced in the United States in 1990, PSA test has been widely used for 57% of males 50 years old or older in the United States in 2001 [8]. Owing to such extensive utilization, the number of prostate cancer diagnosis elevated enormously in the past twenty years. Currently, PSA test has become an indispensable tool in the diagnosis of prostate cancer and follow-up observations after treatment [6],[9]. However, in addition to prostate cancer, PSA levels may also increase in other benign diseases of the prostate gland, such as benign prostate hyperplasia or prostatitis, indicative of high false-positive rates of PSA tests. Certain investigational results indicated diagnosis of prostate cancer in only 26% of patients with an elevated PSA level [10],[11]. In addition, several studies reported that PSA levels might be affected by age, physical activity, tobacco smoking, alcohol consumption and body mass index, other than diseases of the prostate gland [12]-[16].

The tire industry is a comprehensive, large-scale assembly industry that deals with rubber production and processes for tire manufacturing. Production employees working at these manufacturing plants are exposed to harmful chemicals, such as rubber fumes or organic solvents that can cause health impairment.

Owing to working in an environment largely at a desk, the extent of physical activities of office workers are lower than that of production workers. A previous study also revealed that the level of physical activities of office workers had been significantly lower than that of production workers [17]. Thus, this study attempts to analyze serum PSA levels focusing on tire manufacturing workers on the assumption that there will be differences in the serum PSA levels secondary to variances in occupational characteristics between office workers and production workers.

Materials and methods

Subjects

This study first selected a total of 1,966 male tire manufacturing workers 30 years old or older, who underwent health examinations at a general hospital from October 2013 through December 2013. This study enrolled a total of 1,958 subjects with no malignancy of prostate, excluding those 8 individuals with either omitted data. Those subjects finally-included in this study who participated the tests conducted for the purpose of health examinations and diagnosis. Each subject provided written, informed consent before participating. Physicians themselves explained the purpose, method and precautions of this study, and tests were conducted after obtaining an informed consent from each subject. Also, the study protocol was approved by the institutional review board of Chonnam National University Hwasun Hospital (IRB No. CNUHH-2014-123).

Study variables and measurements

Subjects were interviewed by a clinician prior to the test, and each subject’s information such as age, smoking status, alcohol consumption, past history hypertension, diabetes mellitus, and occupational history were obtained through questionnaire. Height and body weight were measured on bare feet without the load of their shoes. Blood pressure was measured at a sitting position after subjects had been relaxed for ten minutes. Systolic and diastolic blood pressures were measured from the right upper arm. Their body mass index was calculated by weight (kg)/height2 (m2). The waist circumference was measured with a tape-measure from the navel around the circumference of the waist at an erect position. All subjects fasted for 12 hours or more before undergoing measurements of serum PSA, glucose, total cholesterol, triglyceride, and high-density lipoprotein cholesterol. The chemiluminescence assay was used for PSA measurements. Regarding alcohol consumption among their general characteristics, subjects with alcohol drinking of 3 cups or more a day and 2 days or more a week, regardless of alcohol variety were classified as heavy drinkers.

Subjects were classified into two groups according to their works. Subjects who were engaged in extrusion process, mixing process, building process, calendaring process, bead process, curing process, inspection process, product management and factory maintenance were classified as production workers and subjects of other occupations who worked sedentarily during most of their work time were classified as office workers. With respect to smoking status, subjects who never smoked (never-smoked) and those ex-smokers who would not smoke currently (ex-smoker) were classified as non-smokers. Subjects who would presently smoke were classified as current smokers. Group of subjects, who did exercises to the extent of sweating for 30 minutes and longer three times a week, were classified as the regular exercise group. Cases on a current antihypertensive regimen or cases with blood pressure of 140/90 mmHg or higher were defined as hypertensive. Subjects with infliction of diabetes mellitus were defined as cases that were treated for diabetes mellitus or cases with measured serum glucose levels of 126 mg/dL or higher. Also, the subjects were classified based on the high level of Adult Treatment Panel III (ATP III) classification for total cholesterol and the standard level of metabolic syndrome for waist circumference, body mass index, triglyceride and high density lipoprotein cholesterol, based on the standard of the National Cholesterol Education Program (NCEP).

Statistical analysis

Collected data were organized and saved in a personal computer. Owing to the fact that the PSA levels did not show a normal distribution pattern, the geometric mean and geometric standard deviation were calculated after carrying out natural log transformation.

Subjects were divided into the group with production workers and another group with office workers with respect to general characteristics. A Chi-Square Test was used to make comparisons and analysis with respect to age, body mass index, waist circumference, hypertension, diabetes mellitus, level of total cholesterol, triglyceride, high-density lipoprotein cholesterol, alcohol consumption, smoking status, and regular exercise. The Student T-test and the Analysis of variance (ANOVA) were used to compare serum PSA levels in accordance with subject’s age, body mass index, waist circumference, hypertension, diabetes mellitus, levels of total cholesterol, triglyceride, high-density and lipoprotein cholesterol, as well as alcohol consumption, smoking status and regular exercise.

In an attempt to control the effect of covariate with respect to hypertension, (which showed significant difference in univariate analysis) and regarding age, alcohol consumption, smoking status and body mass index (which were reported to have an effect on serum PSA levels), and to make comparisons of quantitative differences in serum PSA levels for job type with age stratification and other factors, the analysis of covariance (ANCOVA) was utilized. Logistic regression was used to estimate the odds of an elevated PSA level (4.0 or 2.5 ng/mL) based on job type with age stratification and adjustment of aforementioned covariates. A two-tailed test was used for all analyses and p values less than 0.05 were regarded as statistically significant. All statistical tests were performed using SPSS version 18.0 (SPSS, Inc., Chicago, IL, USA).

Results

General characteristics of the subjects

A total of 1,958 subjects were enrolled in this investigation. The mean age of office workers was 42.9 years while that of production workers was 46.3 years, showing a significantly older age for production workers. 111 office workers (42.9%) in their 30s and 792 productions workers (46.6%) in their 40s made up the majority of each group of workers (p = 0.008). With respect to overweight, 130 office workers (50.2%) and 686 production workers (40.4%) had body mass index of 25 kg/m2 or greater, revealing that office workers had significantly a higher proportion (p = 0.009).

Subjects with elevated total cholesterol (≥240 mg/dl) were 25 office workers (9.7%) and 94 production workers (5.5%) and the proportion of subjects with elevated total cholesterol for office workers was significantly high (p = 0.007). 44 office workers (17.0%) and 437 production workers (25.8%) did their exercises regularly. The proportion of production workers who did exercises regularly was significantly high (p = 0.018). There were no significant differences in the proportions of subjects with elevated waist circumference, hypertension, diabetes mellitus, elevated triglyceride, elevated high density lipoprotein cholesterol, current smoking, heavy drinking according to job type (Table 1).
Table 1

General characteristics of the subjects

 

Production workers (n = 1,699)

Office workers (n = 259)

p-value*

n

(%)

n

(%)

Age (years)

     

 30-39

291

(17.1)

111

(42.9)

0.008

 40-49

792

(46.6)

78

(30.1)

 

 50-

616

(36.3)

70

(27.0)

 

Waist circumference (cm)

     

 <90

1,268

(74.6)

181

(69.9)

0.105

 ≥90

431

(25.4)

78

(30.1)

 

Body mass index (kg/m2)

     

 <25

1,013

(59.6)

129

(49.8)

0.009

 ≥25

686

(40.4)

130

(50.2)

 

Hypertension

     

 No

1,519

(89.4)

226

(87.3)

0.304

 Yes

180

(10.6)

33

(12.7)

 

Diabetes mellitus

     

 No

1,538

(90.5)

244

(94.2)

0.057

 Yes

161

(9.5)

15

(5.8)

 

Total cholesterol (mg/dL)

     

 <240

1,605

(94.5)

234

(90.3)

0.007

 ≥240

94

(5.5)

25

(9.7)

 

Triglyceride (mg/dL)

     

 <150

995

(58.6)

151

(58.3)

0.936

 ≥150

704

(41.4)

108

(41.7)

 

HDL-cholesterol (mg/dL)

     

 ≥40

1,327

(78.1)

200

(77.2)

0.404

 <40

372

(21.9)

59

(22.8)

 

Current smoking

     

 No

894

(52.6)

146

(56.4)

0.253

 Yes

805

(47.4)

113

(43.6)

 

Heavy drinker

     

 No

1,262

(74.3)

183

(70.7)

0.212

 Yes

437

(25.7)

76

(29.3)

 

Regular exercise

     

 No

1,262

(74.2)

215

(83.0)

0.018

 Yes

437

(25.8)

44

(17.0)

 

*P value was calculated by chi-square test.

HDL-cholesterol: High density lipoprotein cholesterol.

Comparisons of blood prostate-specific antigen levels by variables of the subjects

Factors that related to the serum PSA levels in univariate analysis of geometric mean were age and hypertension (p = 0.001). The difference between workers with hypertension and patients without hypertension was statistically significant (p = 0.016). After adjusting for age, body mass index, hypertension, smoking, drinking alcohol and regular exercise, variables that related to serum PSA levels significantly were age (p < 0.001), hypertension (p = 0.046), regular exercise (p = 0.015) (Table 2).
Table 2

Comparison of serum prostate-specific antigen levels by variables of the subjects

 

n (%)

Serum PSA (ng/mL)

Geometric mean ± GSD*

p-value

Adjusted geometric mean

p-value

Age (years)

     

 30-39

402 (20.5)

0.728 ± 1.740

0.001

0.722

<0.001

 40-49

870 (44.4)

0.720 ± 1.820

 

0.719

 

 50-

686 (35.1)

0.815 ± 1.916

 

0.823

 

Waist circumference (cm)

     

 <90

1,449 (74.0)

0.758 ± 1.845

0.521

0.761

0.265

 ≥90

509 (26.0)

0.743 ± 1.835

 

0.735

 

Body mass index (kg/m2)

     

 <25

1,142 (58.3)

0.756 ± 1.844

0.843

0.757

0.806

 ≥25

816 (41.7)

0.752 ± 1.840

 

0.751

 

Hypertension

     

 No

1,745 (89.1)

0.745 ± 1.830

0.016

0.747

0.046

 Yes

213 (10.9)

0.829 ± 1.928

 

0.816

 

Diabetes mellitus

     

 No

1,782 (91.0)

0.757 ± 1.832

0.412

0.758

0.225

 Yes

176 (9.0)

0.728 ± 1.952

 

0.716

 

Total cholesterol (mg/dL)

     

 <240

1,839 (93.9)

0.753 ± 1.848

0.764

0.754

0.755

 ≥240

119 (6.1)

0.766 ± 1.757

 

0.767

 

Triglyceride (mg/dL)

     

 <150

1,146 (58.5)

0.757 ± 1.848

0.694

0.760

0.512

 ≥150

812 (41.5)

0.749 ± 1.757

 

0.747

 

HDL cholesterol§ (mg/dL)

     

 ≥40

1,527 (78.0)

0.760 ± 1.856

0.093

0.761

0.202

 <40

431 (22.0)

0.736 ± 1.811

 

0.730

 

Current smoking

     

 No

1,040 (53.1)

0.744 ± 1.877

0.314

0.743

0.235

 Yes

918 (46.9)

0.765 ± 1.802

 

0.768

 

Heavy drinker

     

 No

1,445 (73.8)

0.746 ± 1.847

0.194

0.746

0.157

 Yes

513 (26.2)

0.777 ± 1.829

 

0.780

 

Regular exercise

     

 No

1,477 (75.4)

0.763 ± 1.831

0.096

0.764

0.015

 Yes

481 (24.6)

0.723 ± 1.878

 

0.722

 

*GSD: geometric standard deviation.

P value was calculated by T-test or ANOVA.

P value was calculated by ANCOVA, adjusted for age, body mass index, hypertension, current smoking, heavy drinker, regular exercise.

§HDL-cholesterol: High density lipoprotein cholesterol.

Comparison of serum prostate-specific antigen levels by work type of the subjects

The geometric mean of serum PSA levels of office workers was significantly higher than that of production workers in total subjects (p = 0.014) and in subjects 50 years of age and older (p <0.001). After adjusting for each covariate, the adjusted geometric mean of office workers was significantly higher than that of production workers, which showed a significantly higher PSA level for office workers among total subjects (p = 0.017) and subjects 50 years of age and older (p <0.001) (Table 3).
Table 3

Comparison of serum prostate-specific antigen levels by work type of the subjects

 

n (%)

Serum PSA (ng/mL)

Geometric mean ± GSD*

p-value

Adjusted geometric mean

p-value

All

     

 Production workers

1,699 (86.8)

0.745 ± 1.820

0.014

0.738

0.017

 Office workers

259 (13.2)

0.814 ± 1.740

 

0.813

 

Age < 50

     

 Production workers

1,699 (86.8)

0.722 ± 1.810

0.842

0.723

0.924

 Office workers

259 (13.2)

0.729 ± 1.711

 

0.727

 

Age ≥ 50

     

 Production workers

1,699 (86.8)

0.794 ± 1.888

<0.001

0.738

<0.001

 Office workers

259 (13.2)

1.033 ± 2.083

 

0.813

 

*GSD: geometric standard deviation.

P value was calculated by T-test.

P value was calculated by ANCOVA, adjusted for age, body mass index, hypertension, current smoking, heavy drinker, regular exercise.

Odds ratios of PSA elevation according to work type of the subjects

After adjusting for the covariates, there was a statistically significant trend of a higher likelihood of having serum PSA levels of ≥4.0 ng/mL with office workers (OR 7.73, 95% CI: 2.78-21.46). When the subjects were stratified by age, similar trend was observable only among the subjects 50 years of age and older (OR 12.90, 95% CI: 3.65-45.64). In addition, there were similar trends with serum levels PSA of ≥2.5 ng/mL among total subjects (OR 2.74, 95% CI: 1.49-5.08) and subjects 50 years of age and older (OR 3.90, 95% CI: 1.64-9.25) (Table 4).
Table 4

The odds of having a serum PSA level of ≥4.0 or 2.5 ng/mL based on work type of the subjects

 

PSA < threshold

PSA ≥ threshold

Crude OR

95% CI

Adjusted OR

95% CI*

n (%)

n (%)

PSA threshold 4.0 ng/mL

      

All

      

 Production workers

1,690 (99.5)

9 (0.5)

1.00

 

1.00

 

 Office workers

251 (96.9)

8 (3.1)

5.98

2.29-15.65

7.73

2.78-21.46

Age < 50

      

 Production workers

1,079 (99.6)

4 (0.4)

1.00

 

1.00

 

 Office workers

187 (99.5)

1 (0.5)

1.44

0.16-12.97

2.372

0.24-22.84

Age ≥ 50

      

 Production workers

611 (99.2)

5 (0.8)

1.00

 

1.00

 

 Office workers

64 (90.1)

7 (9.9)

13.37

4.13-43.33

12.90

3.65-45.64

PSA threshold 2.5 ng/mL

      

All

      

 Production workers

1,655 (97.4)

44 (2.6)

1.00

 

1.00

 

 Office workers

244 (94.2)

15 (5.8)

2.31

1.27-4.21

2.74

1.49-5.08

Age < 50

      

 Production workers

1,058 (97.7)

25 (2.3)

1.00

 

1.00

 

 Office workers

182 (96.8)

6 (3.2)

1.40

0.57-3.44

1.89

0.74-4.85

Age ≥ 50

      

 Production workers

597 (96.9)

19 (3.1)

1.00

 

1.00

 

 Office workers

62 (87.3)

9 (12.7)

4.56

1.98-10.51

3.90

1.64-9.25

*Odds ratio and 95% confidence intervals estimated using logistic regression model adjusted for adjusted for age, body mass index, hypertension, current smoking, heavy drinker, regular exercise.

Discussion

The results of univariate analysis showed that the older the age group, the more likely an individual would have a higher serum PSA level. This also revealed that office workers had a significantly higher PSA level in comparison with that of production workers. The likelihood of having elevated PSA levels and the serum PSA levels of office workers were higher than those of production workers even after adjusting for age, smoking status, body mass index, hypertension, alcohol consumption, and regular exercise. Stratifying age group, similar trends were found for those in the subjects 50 years of age and older.

PSA is a glycoprotein produced by the epithelial cells in the prostate gland. It is known that the PSA level increases in prostate cancer and various benign diseases, such as benign prostate hyperplasia or prostatitis [10],[11]. In addition to disorders of the prostate gland, other factors that related to serum PSA levels are age, smoking status, alcohol consumption, extent of physical activities and body mass index as suggested from previous studies [12]-[16]. In this study, both the current smoker group and heavy drinker group also had elevated serum PSA levels, but such increases were statistically insignificant. The group with regular physical activities was statistically shown to have significantly lower serum PSA levels, which concurred with the results of previous studies. Owing to occupational attributes, office workers work many hours sitting at a desk and have relatively less physical activities associated with their jobs. A study, which measured levels of physical activities of office workers by using a tool for objective measurement of physical activities, reported that they worked while sitting at a desk for two-thirds of their working hours (65%) [18],[19].

Together, reviewing studies that compared physical activities at a job between office workers and production workers, it was suggested that physical activities of office workers were less than those of production workers [17],[20]. 5α-reductase induces transformation of testosterone, major growth regulator of prostate and a precursor to Dihydrotestosterone (DHT), which is an important hormone that affects PSA production [21],[22]. In times of extensive physical activities, inhibition of 5α-reductase and reduction in the level of testosterone, slow prostate growth and decrease the levels of DHT, which in turn may decrease PSA levels. Such mechanism may explain the logic behind the differences in PSA levels depending on occupational attributes demonstrated in this investigation [22],[23].

According to prospective cohort studies conducted on the levels of PSA and development of prostate cancer among patients without a disorder of the prostate gland, the higher the baseline PSA levels, the more likely the patients would have a high risk of prostate cancer [24],[25]. Furthermore, in a study involving only subjects with a normal serum PSA level (PSA <4.0 ng/mL), individuals with a high serum PSA level were associated with a high incidences of prostate cancer [26]. In this study, serum PSA levels were largely within normal levels. Nevertheless, in consideration of aforementioned investigation, the prospect might be that the risk of prostate cancer of office workers would be higher than that of production workers. Some previous studies reported results that concurred with the suggestion that group with low occupational physical activities would have a higher risk of developing prostate cancer as opposed to the group with high physical activities might have on the job [27]-[30].

The limitation of this study was, along with the limit of a cross-sectional investigation, the fact that other health factors, such as benign prostate disorders (benign prostate hyperplasia, prostatitis and others), might affect serum PSA levels, could not be completely controlled. Also, owing to the aspect that this study focused on subjects at certain workplaces of certain occupations, generalization of these results for entire groups of population may be somewhat unreasonable. Moreover, it was limitation that chemical exposures and occupational physical activity of workers which were considered to affect serum PSA levels could not be directly measured and their effect to serum PSA was assessed indirectly by analyzing association between serum PSA levels and job type. In order to reduce the effect of physical activity to serum PSA levels and evaluate effect of chemical exposure to serum PSA levels indirectly, we subcategorized production workers according to their job and compared serum PSA levels among them. But, there was no significant difference in serum PSA levels between subgroups of production workers (data not shown). According to results of working environment measurement of the factory, the exposed levels of the chemical substances were very low compared to their permissible exposure limit in recent years. Therefore, it is possible that we could not observe elevation of serum PSA levels of production workers and significant differences in serum PSA levels between production workers because exposed levels of the chemical substances might be not enough to elevate serum PSA levels.

In age-stratifying analysis, the likelihood of having an elevated PSA levels and the geometric mean of serum PSA levels of office workers were higher than those of production workers only workers 50 years of age and older. considering that the majority of Korean workers have long years of service in a workplace, there was a possibility of the cumulative effect in accordance with the years of service, However, association between PSA and years of service had not been evaluated directly and this was another limitation of the present study.

Nonetheless, this study is the first research, to the best of our knowledge, to inquire into differences in serum PSA levels between office workers and production workers after adjusting for various factors that may affect serum PSA levels among healthy workers. This study revealed that serum PSA levels were lower in the group of subjects who did regular exercise, and that office workers with low physical activities had higher serum PSA levels as opposed production workers had. In the future, it is necessary to conduct objective and quantitative investigations of detailed job categories, the extent of physical workload and detailed chemical exposure data, and to verify serum PSA levels accordingly. Furthermore, it seems imperative to carry out a future study on whether sedentary workers will be a risk factor in the development of prostate cancer. Owing to the fact that the results of this study exemplified the differences in physical activities between office workers and production workers attributing to each occupation, health promoting inventions such as regular exercise and stretching during work hours would be necessary for office workers.

Conclusion

The serum PSA level of office workers was higher than that of production workers. This could largely be due to occupational variations in the extent of physical activities between office workers and production workers. The results of this study support the fact that a sedentary job with low physical activities may be the risk factor in the development of a prostate cancer. In this study, the suggestion that job types may affect serum PSA levels, even after adjusting for various confounders, is rather significant in the analysis of serum PSA levels. In the future, it is necessary to conduct an investigation to expose a precise mechanism to bring about differences in serum PSA levels between office workers and production workers. Furthermore, there are studies reporting that higher serum PSA levels, even within the normal range of PSA levels, concur with a high risk of prostate cancer later on. Thus, these data may provide evidence for the importance of health interventions, such as regular exercises and stretching for office workers who have less physical activities on the job.

Declarations

Acknowledgements

There is no conflict of interest or financial support to declare.

Authors’ Affiliations

(1)
Department of Occupational and Environmental Medicine, Chonnam National University Hwasun Hospital
(2)
Department of Occupational and Environmental Medicine, Mokpo Christian Hospital

References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D: Global cancer statistics. CA Cancer J Clin 2011, 61: 69–90. 10.3322/caac.20107View ArticlePubMedGoogle Scholar
  2. Boyle P, Ferlay J: Cancer incidence and mortality in Europe 2004. Ann Oncol 2005, 16: 481–488. 10.1093/annonc/mdi098View ArticlePubMedGoogle Scholar
  3. Quinn M, Babb P: Patterns and trends in prostate cancer incidence, survival, prevalence and mortality. Part I: international comparisons. BJU Int 2002, 90: 162–173. 10.1046/j.1464-410X.2002.2822.xView ArticlePubMedGoogle Scholar
  4. Parkin DM, Bray FI, Devesa SS: Cancer burden in the year 2000. The global picture. Eur J Cancer 2001, 37(Suppl 8):S4-S66. 10.1016/S0959-8049(01)00267-2View ArticlePubMedGoogle Scholar
  5. Jung KW, Won YJ, Kong HJ, Oh CM, Lee DH, Lee JS: Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2011. Cancer Res Treat 2014, 46(2):109–123. 10.4143/crt.2014.46.2.109View ArticlePubMedPubMed CentralGoogle Scholar
  6. Cookson MM: Prostate cancer: screening and early detection. Cancer Control 2001, 8: 133–140.PubMedGoogle Scholar
  7. Schröder FH, Hugosson J, Roobol MJ, Tammela TL, Ciatto S, Nelen V, Kwiatkowski M, Lujan M, Lilja H, Zappa M, Denis LJ, Recker F, Berenguer A, Määttänen L, Bangma CH, Aus G, Villers A, Rebillard X, van der Kwast T, Blijenberg BG, Moss SM, de Koning HJ, Auvinen A: ERSPC Investigators: Screening and prostate-cancer mortality in a randomized European study. N Engl J Med 2009, 360(13):1320–1328. 10.1056/NEJMoa0810084View ArticlePubMedGoogle Scholar
  8. Sirovich BE, Schwartz LM, Woloshin S: Screening men for prostate and colorectal cancer in the United States: does practice reflect the evidence? JAMA 2003, 289: 1414–1420. 10.1001/jama.289.11.1414View ArticlePubMedGoogle Scholar
  9. Andriole GL, Crawford ED, Grubb RL 3rd, Buys SS, Chia D, Church TR, Fouad MN, Gelmann EP, Kvale PA, Reding DJ, Weissfeld JL, Yokochi LA, O’Brien B, Clapp JD, Rathmell JM, Riley TL, Hayes RB, Kramer BS, Izmirlian G, Miller AB, Pinsky PF, Prorok PC, Gohagan JK, Berg CD: PLCO Project Team: Mortality results from a randomized prostate-cancer screening. N Engl J Med 2009, 360(13):1310–1319. 10.1056/NEJMoa0810696View ArticlePubMedPubMed CentralGoogle Scholar
  10. Catalona WJ, Richie JP, Ahmann FR, Hudson MA, Scardino PT, Flanigan RC, de Kernion JB, Ratliff TL, Kavoussi LR, Dalkin BL: Comparison of digital rectal examination and serum prostate specific antigen in the early detection of prostate cancer: results of a multicenter clinical trial of 6,630 men. J Urol 1994, 151: 1283–1290.PubMedGoogle Scholar
  11. Nadler RB, Humphrey PA, Smith DS, Catalona WJ, Ratliff TL: Effect of inflammation and benign prostatic hyperplasia on elevated serum prostate specific antigen levels. J Urol 1995, 154(2 Pt 1):407–413. 10.1016/S0022-5347(01)67064-2View ArticlePubMedGoogle Scholar
  12. Oesterling JE, Jacobsen SJ, Chute CG, Guess HA, Girman CJ, Panser LA, Lieber MM: Serum prostate-specific antigen in a community-based population of healthy men: establishment of age-specific reference ranges. JAMA 1993, 270(7):860–864. 10.1001/jama.1993.03510070082041View ArticlePubMedGoogle Scholar
  13. Loprinzi PD, Kohli M: Effect of physical activity and sedentary behavior on serum prostate-specific antigen concentrations: results from the National Health and Nutrition. Examination Survey (NHANES), 2003–2006. Mayo Clin Proc 2013, 88(1):11–21. 10.1016/j.mayocp.2012.10.012View ArticlePubMedGoogle Scholar
  14. Li J, Thompson T, Joseph DA, Master VA: Association between smoking status, and free, total and percent free prostate specific antigen. J Urol 2012, 187(4):1228–1233. 10.1016/j.juro.2011.11.086View ArticlePubMedPubMed CentralGoogle Scholar
  15. Zuccolo L, Lewis SJ, Donovan JL, Hamdy FC, Neal DE, Smith GD: Alcohol consumption and PSA-detected prostate cancer risk-a case–control nested in the ProtecT study. Int J Cancer 2013, 132(9):2176–2185. 10.1002/ijc.27877View ArticlePubMedGoogle Scholar
  16. Bañez LL, Hamilton RJ, Partin AW, Vollmer RT, Sun L, Rodriguez C, Wang Y, Terris MK, Aronson WJ, Presti JC Jr, Kane CJ, Am Ling CL, Moul JW, Freedland SJ: Obesity-related plasma hemodilution and PSA concentration among men with prostate cancer. JAMA 2007, 298(19):2275–2280. 10.1001/jama.298.19.2275View ArticlePubMedGoogle Scholar
  17. Steele R, Mummery K: Occupational physical activity across occupational categories. J Sci Med Sport 2003, 6(4):398–407. 10.1016/S1440-2440(03)80266-9View ArticlePubMedGoogle Scholar
  18. Miller R, Brown W: Steps and sitting in a working population. Int J Behav Med 2004, 11(4):219–224. 10.1207/s15327558ijbm1104_5View ArticlePubMedGoogle Scholar
  19. Clemes SA, Patel R, Mahon C, Griffiths PL: Sitting time and step counts in office workers. Occup Med (Lond) 2014, 64(3):188–192. 10.1093/occmed/kqt164View ArticleGoogle Scholar
  20. Schreuder KJ, Roelen CA, Koopmans PC, Groothoff JW: Job demands and health complaints in white and blue collar workers. Work 2008, 31(4):425–432.PubMedGoogle Scholar
  21. Griffiths K: Molecular Control of Prostate Growth. In Textbook of Benign Prostatic Hyperplasia. Isis Medical Media Ltd, Oxford, UK; 1996:23–26.Google Scholar
  22. Dal Maso L, Zucchetto A, Tavani A, Montella M, Ramazzotti V, Polesel J, Bravi F, Talamini R, La Vecchia C, Franceschi S: Lifetime occupational and recreational physical activity and risk of benign prostatic hyperplasia. Int J Cancer 2006, 118(10):2632–2635. 10.1002/ijc.21668View ArticlePubMedGoogle Scholar
  23. Friedenreich CM, Thune I: A review of physical activity and prostate cancer risk. Cancer Causes Control 2001, 12: 461–475. 10.1023/A:1011210121901View ArticlePubMedGoogle Scholar
  24. Whittemore AS, Cirillo PM, Feldman D, Cohn BA: Prostate specific antigen levels in young adulthood predict prostate cancer risk: results from a cohort of Black and White Americans. J Urol 2005, 174(3):872–876. 10.1097/01.ju.0000169262.18000.8aView ArticlePubMedGoogle Scholar
  25. Antenor JA, Han M, Roehl KA, Nadler RB, Catalona WJ: Relationship between initial prostate specific antigen level and subsequent prostate cancer detection in a longitudinal screening study. J Urol 2004, 172(1):90–93. 10.1097/01.ju.0000132133.10470.bbView ArticlePubMedGoogle Scholar
  26. Fang J, Metter EJ, Landis P, Chan DW, Morrell CH, Carter HB: Low levels of prostate-specific antigen predict long-term risk of prostate cancer: results from the Baltimore Longitudinal Study of Aging. Urology 2001, 58(3):411–416. 10.1016/S0090-4295(01)01304-8View ArticlePubMedGoogle Scholar
  27. Berglund A, Garmo H, Robinson D, Tishelman C, Holmberg L, Bratt O, Adolfsson J, Stattin P, Lambe M: Differences according to socioeconomic status in the management and mortality in men with high risk prostate cancer. Eur J Cancer 2012, 48(1):75–84. 10.1016/j.ejca.2011.07.009View ArticlePubMedGoogle Scholar
  28. Krstev S, Baris D, Stewart PA, Hayes RB, Blair A, Dosemeci M: Risk for prostate cancer by occupation and industry: a 24-state death certificate study. Am J Ind Med 1998, 34(5):413–420. 10.1002/(SICI)1097-0274(199811)34:5<413::AID-AJIM1>3.0.CO;2-RView ArticlePubMedGoogle Scholar
  29. Lagiou A, Samoli E, Georgila C, Minaki P, Barbouni A, Tzonou A, Trichopoulos D, Lagiou P: Occupational physical activity in relation with prostate cancer and benign prostatic hyperplasia. Eur J Cancer Prev 2008, 17(4):336–339. 10.1097/CEJ.0b013e3282f5221eView ArticlePubMedGoogle Scholar
  30. Krishnadasan A, Kennedy N, Zhao Y, Morgenstern H, Ritz B: Nested case–control study of occupational physical activity and prostate cancer among workers using a job exposure matrix. Cancer Causes Control 2008, 19(1):107–114. 10.1007/s10552-007-9076-7View ArticlePubMedGoogle Scholar

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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