We investigated the association of bone mineral density (BMD) measures with prostate cancer (PCa) risk in older men enrolled in the Osteoporotic Fractures in Men Study. We hypothesized that men with higher BMD, a marker of exposure to endogenous sex hormones, would have an increased incidence of PCa. The cohort included 4,597 men (89% White, 65 years or older) with no prior history of PCa. Baseline total body, total hip, and spine BMD were assessed using dual energy X-ray absorptiometry. Prostate cancer was confirmed by review of medical records. Cox regression was used to assess the association of BMD quartiles with incident PCa, adjusting for age, body mass index, and other covariates. During an average follow-up of 5.2 years, 5.6% (n = 255) of men developed PCa. Total body BMD was inversely associated with incident PCa, with a significant trend for decreasing PCa risk with increasing BMD quartiles (Ptrend = 0.007). Men in the highest total body BMD quartile had a 41% reduced risk for PCa (hazard ratio, 0.59; 95% confidence interval, 0.40-0.86), compared with men in the lowest quartile. Total hip and spine BMD did not exhibit significant relationships with PCa. Associations of BMD measures differed for low-grade (Gleason sum, 2-6) versus high-grade tumors (Gleason sum, ≥7). Significant inverse relationships with high-grade disease were noted at the total body and total hip sites. However, no associations were observed with low-grade disease. Our results provide support for an inverse association between BMD and PCa risk. Possible pathophyisological mechanisms linking BMD and PCa should be elucidated. (Cancer Epidemiol Biomarkers Prev 2009;18(1):148–54)

Prostate cancer (PCa) is the most common malignancy in men. According to the American Cancer Society, it is estimated to result in 218,890 new cases and 27,050 deaths in 2007 (1). Despite its public health burden, the etiology of PCa remains poorly understood. Apart from the established risk factors for PCa including older age, race, and family history of the disease, only a few other factors have been suggested to contribute to the development of this malignancy.

Androgens are thought to stimulate cell proliferation of the prostate epithelium and have been related to increased risk of PCa in some but not most prospective epidemiologic studies (2, 3). Higher levels of insulin-like growth factor I also have been implicated in prostate carcinogenesis (4). Additionally, high calcium intake has been associated with elevated PCa risk (5). However, evidence for the role of these factors is still inconclusive as conflicting results were reported by other studies (6, 7). A common limitation of these studies was the use of a single assessment of androgens and growth factor levels. Owing to the intra-individual variations in the levels of these factors, a single measurement at one time point may not accurately reflect average or cumulative exposure.

Bone mineral density (BMD) has been regarded as a possible surrogate marker for lifetime exposure to endogenous sex hormones, insulin-like growth factor I, and calcium intake (8, 9). Based on this, the association of BMD with PCa was examined in a few epidemiologic studies (10-12). Results from the Tobago Prostate Survey indicated a cross-sectional association between higher BMD and increased PCa prevalence in Afro-Caribbean men ages 60 to 79 years (10). Similarly, in the Framingham Study, a trend for higher PCa risk with increasing BMD quartiles was noted in Caucasian men (12). However, conflicting findings were reported in the NHANES I Epidemiologic Follow-up Survey where a nonsignificant decline in PCa risk was observed with higher BMD (11).

The majority of these studies have not used state of the art assessments of bone density (11, 12). Although the Tobago Prostate Survey used dual-energy X-ray absorptiometry (DXA), it was cross-sectional in nature, and therefore did not account for the possible confounding effect of PCa on bone density (10). To our knowledge, no study has prospectively assessed the association of dual-energy X-ray absorptiometry–determined BMD measures with incident PCa in men with no history of the disease. Additionally, it is not known whether this association varies by tumor grade.

The aim of the present study was to investigate the association of BMD measures with the subsequent development of PCa in older men participating in the Osteoporotic Fractures in Men (MrOS) study. Our hypothesis was that men with higher BMD would have an increased risk of PCa.

Study Population

Participants were enrolled in the MrOS study, a multicenter longitudinal study evaluating risk factors and sequelae of vertebral and nonvertebral fractures in older men. The cohort included 5,995 community dwelling, ambulatory men ages 65 years or older. Men were recruited from March 2000 through April 2002 at 6 geographic regions of the United States: Birmingham, Alabama; Minneapolis, Minnesota; Palo Alto, California; Pittsburgh, Pennsylvania; Portland, Oregon; and San Diego, California. Men were not eligible for inclusion if they (a) were unable to walk without the assistance of another person or aide, (b) had bilateral hip replacements, (c) were unable to provide self-reported data, (d) were not expected to reside near a clinical site for the duration of the study, (f) had a medical condition that (in the judgment of the investigator) would result in imminent death, or (g) were unable to understand and sign an informed consent. To qualify as an enrollee, the participant had to answer the self-administered questionnaire, attend the clinic visit, and complete at least the anthropometric, dual-energy X-ray absorptiometry, and vertebral X-ray procedures. The Institutional Review Board at each recruitment site approved the study protocol, and written informed consent was obtained from all participants (13, 14).

The current analysis included 4,597 participants. We excluded men with a self-reported history of PCa (n = 709) or any other cancer (except for nonmelanoma skin cancer; n = 384), and men who have received osteoporosis medications (n = 90), androgen (n = 22) or antiandrogen (n = 150) therapy, or testosterone injections (n = 55).

PCa Diagnosis

PCa cases occurring between the baseline visit and February 2007 (range of follow-up, 0.0-6.8 y; mean, 5.2 y; median, 5.4 y) were identified through self-report using a mailed triannual follow-up questionnaire. For participants who did not return the questionnaire, information about events was elicited through in-person or telephone interviews. For each reported event, medical records were requested from the hospital or clinic including the following: pathology reports for initial diagnosis of PCa, PSA lab reports before diagnosis, clinical notes ordering biopsy, postdiagnosis studies reports, and postdiagnosis clinic notes. Medical records were reviewed and events were adjudicated centrally at the MrOS coordinating center (University of California, San Francisco) and California Pacific Medical Center Research Institute without knowledge of BMD or other risk factors. Key prognostic characteristics of the tumor (stage and Gleason histologic scores) and type of treatment were also collected.

BMD Measurement

Areal BMD (g/cm2) measures of the total body, total hip, and spine were measured at the baseline visit using dual-energy X-ray absorptiometry (QDR 4500 W scanner; Hologic, Inc.). Scans were done at each study center by certified technicians using a standardized protocol for participant positioning and scan analysis. For quality assurance, the MrOS coordinating center reviewed a random subset of scans, scans with exceptionally high or low BMD, and problematic scans identified by technicians at the clinics. Cross-calibration studies were done before the baseline MrOS visit. No linear differences across scanners were observed and the interscanner coefficient of variation was 0.9% for the hip and 0.6% for the spine.

Covariates

At the baseline visit, participants completed a self-administered questionnaire and were interviewed and examined by trained and certified clinical staff. Demographic characteristics included age, race/ethnicity (Caucasian/White, African American/Black, Asian, Hispanic, and Other), and educational level. Lifestyle risk factors included alcohol consumption (current drinking versus not), smoking (current, past, never), and physical activity as reported on the Physical Activity Scale for the Elderly (15). Personal history of specific medical conditions (e.g., cancer, diabetes mellitus, osteoporosis, and prostatitis) was assessed. Participants were asked to bring in current prescription medications to the clinic visit. Specific classes of medications (e.g., thiazide diuretics, oral corticosteroids, statins, osteoporosis medications, etc.) were coded by trained staff using a computerized database. The intakes of dietary calcium and vitamin D from foods and supplements were estimated using a modified Block semiquantitative food frequency questionnaire developed specifically for MrOS by Block Dietary Systems (16). Total intakes of calcium and vitamin D were calculated by summing dietary calcium intake (milligrams per day) and daily dosage of calcium supplements (milligrams per day). Anthropometric measures such as weight and height were measured using standard equipment, including a Harpenden stadiometer and a balanced beam or digital scale. Body mass index was calculated as weight in kilograms divided by the square of height in meters.

Data Analysis

Baseline characteristics and BMD measures of men with or without incident PCa were compared using χ2 test for categorical variables and either two-sample t test or Wilcoxon rank-sum test for continuous data. The incidence rate of PCa was calculated as the number of cases divided by the person-years of follow-up. Follow-up time was calculated from the date of study entry to the date of PCa diagnosis, death, or last contact with the participant. Cox proportional hazards regression was used to estimate the hazard ratio of incident PCa by BMD quartiles. Unadjusted and adjusted models were fitted for each BMD variable separately. Variables were selected for entry into the regression models if they were significantly associated with PCa in univariate analysis. Race and body mass indexes were adjusted for regardless of their statistical significance. Linear trend in the risk of PCa across BMD quartiles was tested by including the median values for BMD quartiles as a single continuous variable. Additional analyses were done to model the risk of PCa per one SD decrease in BMD (calculated as the deviation from the mean BMD divided by the SD of the BMD measure). The proportional hazard assumption was checked by testing the significance of interaction terms of BMD variables with time. In secondary analyses, separate models were done to estimate the risk of high-grade (defined as Gleason sum of ≥7) versus low-grade (defined as Gleason sum of 2-6) tumors by BMD quartiles. The level of significance was set at 0.05. Data were analyzed using SAS version 8.01 (SAS Institute, Inc.).

During an average follow-up of 5.2 years (range of follow-up, 0.0-6.8 years; median, 5.4 years), 5.5% (255 of 4,597) of the men were diagnosed with PCa. The median age at diagnosis was 74.7 years. Fifty one percent of the cases had a high histologic grade (defined as Gleason sum of ≥7). Based on their baseline characteristics, men with incident PCa were younger, had a higher level of physical activity and daily calcium intake, and were more likely to have a family history of PCa, compared with men without PCa (Table 1).

Table 1.

Baseline characteristics and bone mineral density measures [mean ± SD, n (%)] by prostate cancer status in the MrOS cohort

Incident prostate cancer (n = 255)No prostate cancer (n = 4342)P
Age at baseline 72.4 ± 5.1 73.2 ± 5.8 0.02 
Age at diagnosis of prostate cancer 75.4 ± 5.3 — — 
Race — — 0.88 
    White 229 (89.8) 3864 (89.0) — 
    African American 12 (4.7) 176 (4.0) — 
    Asian 7 (2.8) 147 (3.4) — 
    Hispanic 4 (1.6) 102 (2.3) — 
    Other 3 (1.2) 53 (1.2) — 
Educational level    
    College or higher 130 (51.0) 2285 (52.6) 0.61 
Smoking status — — 0.20 
    Current smoker 7 (2.6) 169 (3.9) — 
    Past smoker 141 (55.3) 2574 (59.3) — 
Alcohol consumption (% who had 12 drinks in past month) 173 (68.4) 2799 (64.5) 0.21 
Physical activity (PASE score) 159.8 ± 72.7 148. ± 68.1 0.007 
Weight (kg) 82.2 ± 12.3 83.3 ± 13.4 0.20 
Height (cm) 174.1 ± 6.8 174.2 ± 6.8 0.77 
BMI (kg/m227.1 ± 3.5 27.4 ± 3.8 0.21 
Weight change since age 25 (kg) 10.2 ± 10.8 10.3 ± 11.4 0.88 
Calcium intake from diet and supplements (mg/d) 1197.3 ± 575.3 1108.6 ± 581.8 0.02 
Vitamin D intake from diet and supplements (IU/day) 409.7 ± 240.5 384.3 ± 244.1 0.11 
Family history of prostate cancer 48 (18.8) 557 (12.8) 0.006 
Medical history    
    History of osteoporosis 6 (2.4) 73 (1.7) 0.45* 
    History of diabetes 22 (8.6) 479 (11.0) 0.23 
    History of prostatitis 61 (23.9) 862 (19.8) 0.11 
Medications    
    Thiazide diuretics 32 (12.6) 470 (10.8) 0.39 
    Oral corticosteroids 1 (0.4) 69 (1.6) 0.18* 
    Statins 78 (30.6) 1101 (25.4) 0.06 
Histologic grade    
    Low (Gleason sum, 2-6) 122 (47.8) — — 
    High (Gleason sum, ≥7) 129 (50.6) — — 
    Unknown 4 (1.6) — — 
Total Body BMD (g/cm2) 1.16 ± 0.12 1.18 ± 0.12 0.05 
Total hip BMD (g/cm2) 0.96 ± 0.14 0.96 ± 0.14 0.81 
Spine BMD (g/cm2)§ 1.06 ± 0.17 1.08 ± 0.18 0.29 
Incident prostate cancer (n = 255)No prostate cancer (n = 4342)P
Age at baseline 72.4 ± 5.1 73.2 ± 5.8 0.02 
Age at diagnosis of prostate cancer 75.4 ± 5.3 — — 
Race — — 0.88 
    White 229 (89.8) 3864 (89.0) — 
    African American 12 (4.7) 176 (4.0) — 
    Asian 7 (2.8) 147 (3.4) — 
    Hispanic 4 (1.6) 102 (2.3) — 
    Other 3 (1.2) 53 (1.2) — 
Educational level    
    College or higher 130 (51.0) 2285 (52.6) 0.61 
Smoking status — — 0.20 
    Current smoker 7 (2.6) 169 (3.9) — 
    Past smoker 141 (55.3) 2574 (59.3) — 
Alcohol consumption (% who had 12 drinks in past month) 173 (68.4) 2799 (64.5) 0.21 
Physical activity (PASE score) 159.8 ± 72.7 148. ± 68.1 0.007 
Weight (kg) 82.2 ± 12.3 83.3 ± 13.4 0.20 
Height (cm) 174.1 ± 6.8 174.2 ± 6.8 0.77 
BMI (kg/m227.1 ± 3.5 27.4 ± 3.8 0.21 
Weight change since age 25 (kg) 10.2 ± 10.8 10.3 ± 11.4 0.88 
Calcium intake from diet and supplements (mg/d) 1197.3 ± 575.3 1108.6 ± 581.8 0.02 
Vitamin D intake from diet and supplements (IU/day) 409.7 ± 240.5 384.3 ± 244.1 0.11 
Family history of prostate cancer 48 (18.8) 557 (12.8) 0.006 
Medical history    
    History of osteoporosis 6 (2.4) 73 (1.7) 0.45* 
    History of diabetes 22 (8.6) 479 (11.0) 0.23 
    History of prostatitis 61 (23.9) 862 (19.8) 0.11 
Medications    
    Thiazide diuretics 32 (12.6) 470 (10.8) 0.39 
    Oral corticosteroids 1 (0.4) 69 (1.6) 0.18* 
    Statins 78 (30.6) 1101 (25.4) 0.06 
Histologic grade    
    Low (Gleason sum, 2-6) 122 (47.8) — — 
    High (Gleason sum, ≥7) 129 (50.6) — — 
    Unknown 4 (1.6) — — 
Total Body BMD (g/cm2) 1.16 ± 0.12 1.18 ± 0.12 0.05 
Total hip BMD (g/cm2) 0.96 ± 0.14 0.96 ± 0.14 0.81 
Spine BMD (g/cm2)§ 1.06 ± 0.17 1.08 ± 0.18 0.29 

Abbreviation: PASE, Physical Activity Scale for the Elderly.

*

P value for Fisher's Exact test.

Total body BMD is missing for 28 participants.

Hip BMD is missing for one participant.

§

Spine BMD is missing for 5 participants.

For total body BMD, the incidence rates of PCa (per 1,000 person-years) were found to decrease by increasing BMD quartiles (12.3 in the lowest quartile, 11.7 in the second, 11.4 in the third, and 7.7 in the highest quartile). A significant trend for decreasing PCa risk with increasing BMD quartiles was observed in unadjusted (Ptrend = 0.02), age-adjusted (Ptrend = 0.01), and multivariate models (Ptrend = 0.007). Men in the highest total body BMD quartile had a 41% reduced risk for PCa [multivariate-adjusted hazard ratio, 0.59; 95% confidence interval (95% CI), 0.40-0.86], compared with men in the lowest quartile. However, men in the second and third quartiles of BMD did not have a significant reduction in PCa risk compared with men in the lowest quartile. When total body BMD was entered in the model as a continuous variable, each SD increase in BMD was associated with a 14% reduced risk of PCa (multivariate-adjusted hazard ratio, 0.86; 95% CI, 0.75-0.98; Table 2).

Table 2.

Risk of prostate cancer by baseline total body BMD quartiles in the MrOS cohort

Total body BMD (g/cm2)Quartile range (g/cm2)No. at risk (events)Incidence rate (cases per 1000 person-years)Unadjusted HR (95% CI)Age-adjusted HR (95% CI)Multivariate HR (95% CI)*
First quartile 0.80-1.09 1142 (72) 12.3 1.00 1.00 1.00 
Second quartile 1.09-1.17 1142 (69) 11.7 0.95 (0.68-1.32) 0.94 (0.67-1.3) 0.91 (0.66-1.27) 
Third quartile 1.17-1.25 1143 (67) 11.4 0.92 (0.66-1.29) 0.90 (0.64-1.26) 0.90 (0.64-1.26) 
Fourth quartile 1.25-2.04 1142 (46) 7.7 0.63 (0.44-0.91) 0.61 (0.42-0.89) 0.59 (0.40-0.86) 
Ptrend    0.02 0.01 0.007 
HR per 1 SD§ increase in BMD    0.88 (0.77-1.00) 0.87 (0.76-0.99) 0.86 (0.75-0.98) 
Total body BMD (g/cm2)Quartile range (g/cm2)No. at risk (events)Incidence rate (cases per 1000 person-years)Unadjusted HR (95% CI)Age-adjusted HR (95% CI)Multivariate HR (95% CI)*
First quartile 0.80-1.09 1142 (72) 12.3 1.00 1.00 1.00 
Second quartile 1.09-1.17 1142 (69) 11.7 0.95 (0.68-1.32) 0.94 (0.67-1.3) 0.91 (0.66-1.27) 
Third quartile 1.17-1.25 1143 (67) 11.4 0.92 (0.66-1.29) 0.90 (0.64-1.26) 0.90 (0.64-1.26) 
Fourth quartile 1.25-2.04 1142 (46) 7.7 0.63 (0.44-0.91) 0.61 (0.42-0.89) 0.59 (0.40-0.86) 
Ptrend    0.02 0.01 0.007 
HR per 1 SD§ increase in BMD    0.88 (0.77-1.00) 0.87 (0.76-0.99) 0.86 (0.75-0.98) 

Abbreviation: HR, hazard ratio.

*

Adjusted for age, race, BMI, family history of prostate cancer, physical activity, statin use, and calcium intake.

P < 0.05.

P < 0.01.

§

Total body BMD: SD, 0.12 g/cm2.

Total hip BMD was not associated with the incidence of PCa in unadjusted or adjusted analyses. Compared with the lowest quartile of total hip BMD, the adjusted relative risk of PCa was 0.97 (95% CI, 0.98-1.38) in the second quartile, 1.03 (95% CI, 0.72-1.46) in the third quartile, and 0.91 (95% CI, 0.62-1.33) in the highest quartile (Table 3).

Table 3.

Risk of prostate cancer by baseline total hip BMD quartiles in the MrOS cohort

Total hip BMD (g/cm2)Quartile range (g/cm2)No. at risk (events)Incidence rate (cases per 1000 person-years)Unadjusted HR (95% CI)Age-adjusted HR (95% CI)Multivariate HR (95% CI)*
First quartile 0.31-0.87 1149 (64) 10.9 1.00 1.00 1.00 
Second quartile 0.87-0.96 1149 (63) 10.7 0.97 (0.69-1.38) 0.95 (0.67-1.35) 0.97 (0.68-1.38) 
Third quartile 0.96-1.05 1149 (67) 11.2 1.03 (0.73-1.45) 1.00 (0.71-1.41) 1.03 (0.72-1.46) 
Fourth quartile 1.05-1.76 1149 (61) 10.2 0.93 (0.66-1.32) 0.89 (0.63-1.27) 0.91 (0.62-1.33) 
Ptrend    0.76 0.59 0.69 
HR per 1 SD increase in BMD    0.97 (0.86-1.10) 0.96 (0.84-1.09) 0.96 (0.84-1.10) 
Total hip BMD (g/cm2)Quartile range (g/cm2)No. at risk (events)Incidence rate (cases per 1000 person-years)Unadjusted HR (95% CI)Age-adjusted HR (95% CI)Multivariate HR (95% CI)*
First quartile 0.31-0.87 1149 (64) 10.9 1.00 1.00 1.00 
Second quartile 0.87-0.96 1149 (63) 10.7 0.97 (0.69-1.38) 0.95 (0.67-1.35) 0.97 (0.68-1.38) 
Third quartile 0.96-1.05 1149 (67) 11.2 1.03 (0.73-1.45) 1.00 (0.71-1.41) 1.03 (0.72-1.46) 
Fourth quartile 1.05-1.76 1149 (61) 10.2 0.93 (0.66-1.32) 0.89 (0.63-1.27) 0.91 (0.62-1.33) 
Ptrend    0.76 0.59 0.69 
HR per 1 SD increase in BMD    0.97 (0.86-1.10) 0.96 (0.84-1.09) 0.96 (0.84-1.10) 
*

Adjusted for age, race, BMI, family history of prostate cancer, physical activity, statin use, and calcium intake.

Total hip BMD: SD, 0.14 g/cm2.

Similarly, in unadjusted and adjusted Cox regression models, spine BMD was not significantly associated with the risk of PCa (Table 4).

Table 4.

Risk of prostate cancer by baseline spine BMD quartiles in the MrOS cohort

Spine BMD (g/cm2)Quartile range (g/cm2)No. at risk (events)Incidence rate (cases per 1000 person-years)Unadjusted HR (95% CI)Age-adjusted HR (95% CI)Multivariate HR (95% CI)*
First quartile 0.47-0.94 1148 (56) 9.4 1.00 1.00 1.00 
Second quartile 0.94-1.06 1148 (73) 12.4 1.31 (0.93-1.86) 1.31 (0.92-1.85) 1.31 (0.92-1.86) 
Third quartile 1.06-1.18 1148 (70) 11.9 1.26 (0.89-1.79) 1.26 (0.89-1.80) 1.29 (0.90-1.84) 
Fourth quartile 1.18-2.10 1148 (54) 9.1 0.97 (0.67-1.41) 0.98 (0.68-1.43) 0.98 (0.67-1.44) 
Ptrend    0.84 0.93 0.94 
HR per 1 SD increase in BMD    0.94 (0.83-1.06) 0.94 (0.83-1.07) 0.94 (0.83-1.08) 
Spine BMD (g/cm2)Quartile range (g/cm2)No. at risk (events)Incidence rate (cases per 1000 person-years)Unadjusted HR (95% CI)Age-adjusted HR (95% CI)Multivariate HR (95% CI)*
First quartile 0.47-0.94 1148 (56) 9.4 1.00 1.00 1.00 
Second quartile 0.94-1.06 1148 (73) 12.4 1.31 (0.93-1.86) 1.31 (0.92-1.85) 1.31 (0.92-1.86) 
Third quartile 1.06-1.18 1148 (70) 11.9 1.26 (0.89-1.79) 1.26 (0.89-1.80) 1.29 (0.90-1.84) 
Fourth quartile 1.18-2.10 1148 (54) 9.1 0.97 (0.67-1.41) 0.98 (0.68-1.43) 0.98 (0.67-1.44) 
Ptrend    0.84 0.93 0.94 
HR per 1 SD increase in BMD    0.94 (0.83-1.06) 0.94 (0.83-1.07) 0.94 (0.83-1.08) 
*

Adjusted for age, race, BMI, family history of prostate cancer, physical activity, statin use, and calcium intake.

Spine BMD: SD, 0.24 g/cm2.

Associations of BMD measures differed for low-grade versus high-grade tumors. A significant inverse relationship was observed for total body BMD with high-grade PCa. A significant trend for lower high-grade PCa risk was observed with increasing BMD quartiles (Ptrend = 0.01), with men in the highest quartile having a 57% reduced risk, compared with men in the lowest quartile (hazard ratio, 0.43; 95% CI, 0.25-0.74). For total hip BMD, men in the second quartile had a 46% reduced risk of high-grade disease, compared with men in the first quartile (hazard ratio, 0.54; 95% CI, 0.32-0.92). On the other hand, none of the BMD measures was significantly associated with the risk of developing low-grade PCa (Table 5).

Table 5.

Risk of high grade and low grade prostate cancer by baseline total body, total hip, and spine BMD quartiles in the MrOS cohort

High-grade PCa (Gleason sum, ≥7)
Low-grade PCa (Gleason sum, 2-6)
No. at risk (events)Multivariate HR (95% CI)*No. at risk (events)Multivariate HR (95% CI)*
Total body BMD (g/cm2    
    First quartile 1111 (41) 1.00 1100 (30) 1.00 
    Second quartile 1100 (27) 0.64 (0.40-1.04) 1113 (40) 1.23 (0.76-1.98) 
    Third quartile 1115 (39) 0.93 (0.60-1.44) 1103 (27) 0.85 (0.50-1.43) 
    Fourth quartile 1117 (21) 0.43 (0.25-0.74) 1121 (25) 0.79 (0.46-1.36) 
Ptrend  0.01  0.21 
Total hip BMD (g/cm2    
    First quartile 1125 (40) 1.00 1108 (23) 1.00 
    Second quartile 1108 (22) 0.54 (0.32-0.92) 1125 (39) 1.67 (0.99-2.82) 
    Third quartile 1119 (37) 0.86 (0.54-1.38) 1111 (29) 1.28 (0.73-2.24) 
    Fourth quartile 1118 (30) 0.63 (0.38-1.06) 1119 (31) 1.41 (0.80-2.50) 
Ptrend  0.21  0.46 
Spine BMD (g/cm2    
    First quartile 1121 (29) 1.00 1118 (26) 1.00 
    Second quartile 1115 (40) 1.40 (0.87-2.26) 1108 (33) 1.26 (0.75-2.13) 
    Third quartile 1108 (30) 1.03 (0.62-1.72) 1116 (38) 1.59 (0.96-2.62) 
    Fourth quartile 1123 (29) 0.91 (0.54-1.54) 1118 (24) 1.07 (0.61-1.87) 
Ptrend  0.43  0.51 
High-grade PCa (Gleason sum, ≥7)
Low-grade PCa (Gleason sum, 2-6)
No. at risk (events)Multivariate HR (95% CI)*No. at risk (events)Multivariate HR (95% CI)*
Total body BMD (g/cm2    
    First quartile 1111 (41) 1.00 1100 (30) 1.00 
    Second quartile 1100 (27) 0.64 (0.40-1.04) 1113 (40) 1.23 (0.76-1.98) 
    Third quartile 1115 (39) 0.93 (0.60-1.44) 1103 (27) 0.85 (0.50-1.43) 
    Fourth quartile 1117 (21) 0.43 (0.25-0.74) 1121 (25) 0.79 (0.46-1.36) 
Ptrend  0.01  0.21 
Total hip BMD (g/cm2    
    First quartile 1125 (40) 1.00 1108 (23) 1.00 
    Second quartile 1108 (22) 0.54 (0.32-0.92) 1125 (39) 1.67 (0.99-2.82) 
    Third quartile 1119 (37) 0.86 (0.54-1.38) 1111 (29) 1.28 (0.73-2.24) 
    Fourth quartile 1118 (30) 0.63 (0.38-1.06) 1119 (31) 1.41 (0.80-2.50) 
Ptrend  0.21  0.46 
Spine BMD (g/cm2    
    First quartile 1121 (29) 1.00 1118 (26) 1.00 
    Second quartile 1115 (40) 1.40 (0.87-2.26) 1108 (33) 1.26 (0.75-2.13) 
    Third quartile 1108 (30) 1.03 (0.62-1.72) 1116 (38) 1.59 (0.96-2.62) 
    Fourth quartile 1123 (29) 0.91 (0.54-1.54) 1118 (24) 1.07 (0.61-1.87) 
Ptrend  0.43  0.51 
*

Adjusted for age, race, BMI, family history of prostate cancer, physical activity, statin use, and calcium intake.

P < 0.01.

P < 0.05.

This prospective analysis evaluated the association of BMD measures with incident PCa in a cohort of older men with no history of PCa. Unexpectedly, we found that higher BMD of the total body was significantly related to reduced risk for PCa. No associations were observed for hip and spine BMD measures with PCa. Additionally, total body BMD was inversely associated with the development of high-grade but not low-grade disease. A similar but weaker association was observed for total hip BMD with high-grade PCa.

The direction of the association of total body BMD with PCa was contrary to our initial hypothesis. This finding lends support to results from the NHANES I Epidemiologic Follow-up Survey where a decline in PCa risk, although not significant, was observed with higher quartiles of bone density, determined using radiographic absorptiometry. In that study, compared with the lowest BMD quartile, the age, race, and body mass index–adjusted rate ratios across BMD quartiles were 0.63 (95% CI, 0.37-1.07) for the second, 0.86 (95% CI, 0.49-1.49) for the third, and 0.72 (95% CI, 0.38-1.38) for the highest quartile (11).

Our results were discordant with those from the Tobago Prostate Survey and the Framingham Study, where higher bone density was associated with an increased PCa risk (10, 12). The Tobago study evaluated Afro-Caribbean men, and reported a significant trend of higher PCa prevalence with increasing total hip BMD quartiles, in men ages 60 to 79 years. Compared with men in the lowest quartile of BMD, those in the highest quartile had a 2-fold higher odds of PCa (odds ratio, 2.12; 95% CI, 1.21-3.71). No such associations were observed in younger men in this cohort (10). Notably, total hip BMD in this population was higher than that observed for African-American men in NHANES III by approximately one SD (17). This may be reflective of a higher exposure to endogenous sex steroid hormones and growth factors. The Framingham study involved 100 cases of PCa, diagnosed at a median age of 75.2 years. It reported a higher risk of PCa in the upper two quartiles of radiogrammetrically determined metacarpal cortical width, assessed at a mean age of 61 years (12). Although these findings were adjusted for important risk factors such as age and body mass index, they may be prone to residual confounding by factors such as family history of PCa and calcium and vitamin D intakes, which were not collected in the above studies.

Sex steroids are important regulators of skeletal growth and maintenance of BMD in both men and women (18, 19). In the Swedish arm of the MrOS cohort, free testosterone was found to be a positive predictor of bone density at the total body, total hip, femur trochanter, and arm (20). Androgens are also thought to stimulate cell proliferation of the prostate epithelium and were related to increased risk of PCa in some prospective epidemiologic studies (2, 3). Although the direction of association observed in our study does not provide a direct evidence for the role of endogenous sex hormones in the link between BMD and PCa, it suggests a possible involvement of other pathophysiologic mechanisms.

Poor vitamin D status may be a common denominator for the inverse association between BMD and PCa risk. Low levels of vitamin D are known to have detrimental effects on bone density (21) and have been implicated in prostate carcinogenesis. In vivo evidence suggests that calcitriol has antiproliferative and chemopreventive effects in PCa (22). Additionally, in some epidemiologic studies, low levels of vitamin D metabolites have been associated with increased PCa risk (23, 24).

Inflammation may also be involved in the link between BMD and PCa. Proinflammatory cytokines have been implicated in osteoporosis and increased fractures risk (25, 26). Interleukin-6 was shown to stimulate osteoclasts, thereby increasing the rates of bone remodeling and bone loss (26). Inflammation is also suggested to play a role in prostate carcinogenesis (27). In the MrOS cohort, self-reported history of prostatitis was found to be positively associated with prevalent PCa (odds ratio, 5.4; 95% CI, 4.4-6.6; ref. 28), raising the possibility that chronic inflammation within the prostate may contribute to the pathogenesis of PCa. Owing to the complex multifactorial pathogenesis of PCa and bone mineralization, it is likely that more than one biological mechanism is involved in their link.

Interestingly, in our secondary analysis, the relationship of BMD measures with PCa was limited to high-grade tumors. To our knowledge, our study was the first to investigate the relationship of bone density with tumor grade in PCa. Therefore, no other data are available for direct comparison. Vitamin D insufficiency may be involved in this association. Recent results from the Physician's Health Study have indicated that low levels of both 25(OH) D and 1,25(OH)2D were related to increased risk of aggressive PCa. However, no such associations were observed for nonaggressive disease (24).

The observed associations were specific to BMD of the total body as well as the total hip, in the case of high grade disease. The lack of association at the spine may be related to the sensitivity of dual-energy X-ray absorptiometry technology to extraosseous calcification, such as aortic calcification and degenarative osteoarthritic changes, which get incorporated in the region of interest and lead to a falsely increased bone density of the spine.

Interestingly, we observed that men with incident PCa were younger and had a higher level of physical activity, compared with men who did not develop the disease. This may be a reflection of increased awareness to PCa screening and prevention in PCa cases, as triggered by their stronger family history of the disease.

Our results extend previous findings by longitudinally examining the association of PCa and tumor grade with bone density at different skeletal sites. Our study had the benefit of a rigorous adjudication of PCa cases, determination of BMD using a state of the art method, and adjustment of results for a comprehensive set of risk factors for PCa, including calcium intake, family history of PCa, physical activity, and statin use. Limitations of our analysis include the unavailability of serum measurements of vitamin D and sex hormones on the full population, and the generalizability of findings to other populations due to the inclusion of a well-functioning cohort of mainly older White men.

In conclusion, we observed an unexpected inverse association between total body bone density and the risk of PCa in older men who did not have a prior history of the disease. Further research is needed to confirm the direction of the relationship and to elucidate the pathophysiologic mechanisms involved in the link between BMD and PCa.

No potential conflicts of interest were disclosed.

Grant support: The Osteoporotic Fractures in Men (MrOS) Study is supported by NIH funding. The following institutes provide support: the National Institute of Arthritis and Musculoskeletal and Skin Diseases, the National Institute on Aging, the National Center for Research Resources, and NIH Roadmap for Medical Research under the following grant numbers: U01 AR45580, U01 AR45614, U01 AR45632, U01 AR45647, U01 AR45654, U01 AR45583, U01 AG18197, U01-AG027810, and UL1 RR024140.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

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