Background: The relationship between excess body weight and prostate cancer risk is unclear. However, some evidence suggests that waist circumference, which provides a measure of central adiposity, may be positively associated with more advanced stages or grades of prostate cancer.

Methods: The association between waist circumference and prostate cancer was investigated among 46,094 men enrolled in the Cancer Prevention Study II Nutrition Cohort, of whom 5,711 were diagnosed with this cancer between 1997 and 2013. Using Cox proportional hazards regression, we examined associations of weight circumference with total and high-grade prostate cancer incidence and with prostate cancer mortality.

Results: In both categorical and continuous analyses, waist circumference was not associated with total or high-grade (Gleason score ≥ 8) prostate cancer incidence or with prostate cancer mortality regardless of whether body mass index was adjusted for in the statistical model. Waist circumference was inversely associated with low-grade (Gleason score < 8) prostate cancer, but the association was not statistically significant after adjustment for body mass index.

Conclusions: Our results suggest that central adiposity, as measured by waist circumference, is not significantly associated with prostate cancer incidence or mortality.

Impact: Compared with men in other studies with significant results, men in our study were considerably older, suggesting that age may influence the association between waist circumference and prostate cancer. Cancer Epidemiol Biomarkers Prev; 26(12); 1812–4. ©2017 AACR.

The relationship between adiposity and prostate cancer risk remains unclear despite extensive study of this issue. Findings of the 2014 World Cancer Research Fund International/American institute for Cancer Research (WCRF/AICR) Continuous Update Project found convincing evidence of a positive association between body mass index (BMI; kg/m2) and advanced prostate cancer (1). However, a subsequent International Agency on Research for Cancer review found the evidence limited (2). An MRI study has shown that for men, waist circumference (WC) is the best measure of visceral adipose tissue (3), which is metabolically active and likely responsible for much of the carcinogenic risk associated with adiposity (4). Only six prospective studies have investigated the association between WC and advanced prostate cancer, four of which were included in the WCRF/AICR review (5) and two which were conducted later (6, 7). Although there was some variation in how advanced prostate cancer was defined, five found evidence of increased risk, although it was statistically significant in just two studies (5, 7). In this study, we examined the association between WC and prostate cancer incidence and mortality among men enrolled in the Cancer Prevention Study II (CPS-II) Nutrition Cohort.

Study population

Men in this analysis were participants in the CPS-II Nutrition Cohort, a prospective study of cancer incidence begun in 1992. Details of the recruitment and characteristics of this cohort have been described previously (8). On the 1997 questionnaire, participants reported weight and measured WC using a tape measure sent to them. Participants were instructed to measure their WC to the nearest quarter inch just above the navel while standing, and to avoid measuring over bulky clothing. BMI was calculated from current weight and height reported on initial enrollment in CPS-II in 1982.

Follow-up for the incidence analysis was from the date of receipt of the 1997 questionnaire to date of diagnosis of prostate cancer, death, or June 30, 2013. Follow-up for the mortality analysis was from the 1997 questionnaire receipt to date of prostate cancer death, other death, or June 30, 2103. Incident cancers were self-reported on follow-up questionnaires sent in 1999 and every 2 years thereafter and were verified through medical records or state cancer registries. Additional cancers were ascertained through linkage to the National Death Index.

Of the 73,046 men who completed the 1997 questionnaire, 26,952 were excluded for loss to follow-up, prevalent cancer, missing WC or BMI information, WC ≤20 inches, or BMI ≤18.5 k/m2, leaving 46,094 men for this analysis. Of these, 5,711 were diagnosed and 416 died from prostate cancer between 1997 and 2013. High-grade prostate cancer was defined as Gleason score ≥ 8, whereas low grade included all cases with Gleason score < 8.

Statistical analysis

Quintiles for WC were defined on the basis of the distribution within the analytic cohort. Cox proportional hazards regression modeling was used to estimate the RRs and 95% confidence intervals (CI) for the association between WC and prostate cancer. Cox models were adjusted for age, race, family history of prostate cancer, history of PSA testing, history of diabetes, physical activity energy intake, education, alcohol intake, and, where indicated, BMI.

The men in this study were older (mean age 68 years) and predominantly white. As shown in Table 1, men with a larger WC were more likely to be former smokers and to have a higher BMI and total calorie intake than men with a smaller WC.

Table 1.

Selected age-standardized characteristicsa of men in the CPS-II Nutrition Cohort by quintile of waist circumference

Q1bQ2bQ3bQ4bQ5b
Characteristicsn = 8,982n = 8,507n = 9,954n = 8,225n = 10,426
Age (y)c 68.3 68.5 68.5 68.5 68.1 
Race 
 White 96.2 97.9 98.0 98.4 98.5 
 Black 1.1 0.9 0.8 0.8 0.9 
 Other/missing 2.7 1.2 1.2 0.7 0.7 
Smoking status 
 Never 40.0 36.2 33.0 29.9 27.5 
 Current 7.1 5.3 4.7 4.6 4.7 
 Former 52.9 58.5 62.2 65.5 67.8 
BMI (kg/m2
 18.5–<25 82.1 53.1 30.4 11.7 2.0 
 25–<30 17.6 46.1 65.2 75.2 43.3 
 30-<35 0.3 0.7 4.3 12.8 42.9 
 ≥35 0.03 0.1 0.2 0.3 11.8 
History of diabetes (yes) 6.3 8.0 8.8 11.0 15.1 
History PSA screening (yes) 74.0 75.5 75.2 74.5 70.5 
Total calorie intake (kcal/d)c 1,731.9 1,757.2 1,790.3 1,826.5 1,897.3 
Q1bQ2bQ3bQ4bQ5b
Characteristicsn = 8,982n = 8,507n = 9,954n = 8,225n = 10,426
Age (y)c 68.3 68.5 68.5 68.5 68.1 
Race 
 White 96.2 97.9 98.0 98.4 98.5 
 Black 1.1 0.9 0.8 0.8 0.9 
 Other/missing 2.7 1.2 1.2 0.7 0.7 
Smoking status 
 Never 40.0 36.2 33.0 29.9 27.5 
 Current 7.1 5.3 4.7 4.6 4.7 
 Former 52.9 58.5 62.2 65.5 67.8 
BMI (kg/m2
 18.5–<25 82.1 53.1 30.4 11.7 2.0 
 25–<30 17.6 46.1 65.2 75.2 43.3 
 30-<35 0.3 0.7 4.3 12.8 42.9 
 ≥35 0.03 0.1 0.2 0.3 11.8 
History of diabetes (yes) 6.3 8.0 8.8 11.0 15.1 
History PSA screening (yes) 74.0 75.5 75.2 74.5 70.5 
Total calorie intake (kcal/d)c 1,731.9 1,757.2 1,790.3 1,826.5 1,897.3 

aStandardized to the age distribution of the men in the cohort. Values are presented as percentages unless otherwise noted.

bQuintile cutoff points are: Q1, 58.4–<90.8 cm; Q2, 90.8–<95.3 cm; Q3, 95.3–<100.3 cm; Q4, 100.3–<106.7 cm; and Q5, >=106.7 cm.

cValues are presented as means.

The categorical and continuous associations of WC with prostate cancer are shown in Table 2. Consistent with the categorical results, the association based on the continuous analyses was marginal for all cases (RR = 0.97; 95% CI, 0.95–1.00 per 10 cm) and significant for low-grade cases (RR = 0.95; 95% CI, 0.92–0.98 per 10 cm) before adjustment for BMI. After BMI adjustment, neither of these results were significant. No association was observed between WC and either high-grade or prostate cancer mortality regardless of adjustment for BMI. All associations were unchanged when the first 4 years of follow-up were excluded, suggesting that reverse causation did not influence these results.

Table 2.

The association of waist circumference with prostate cancer risk among men in the CPS-II Nutrition Cohort

Waist circumference
Q1Q2Q3Q4Q5
58.4–<91.8 cm90.8–<95.3 cm95.3–<100.3 cm100.3–<106.7 cm≥106.7 cmPer 10 cm
All cases 
 Number of cases 1,177 1,121 1,197 1,006 1,210 5,711 
 Person-years 100,246 94,099 111,701 90,941 112,023 509,013 
 RR (95% CI)a 1.00 (ref) 1.01 (0.93–1.09) 0.91 (0.84–0.99) 0.94 (0.87–1.03) 0.93 (0.86–1.01) 0.97 (0.95–1.00) 
 RR (95% CI)b 1.00 (ref) 1.02 (0.94–1.11) 0.93 (0.85–1.01) 0.97 (0.88–1.07) 0.98 (0.87–1.10) 0.99 (0.95–1.04) 
Low-grade cases 
 Number of cases 974 912 988 786 948 4,608 
 Person-years 100,246 94,099 111,701 90,941 112,023 509,013 
 RR (95% CI)a 1.00 (ref) 0.99 (0.90–1.08) 0.91 (0.83–1.00) 0.89 (0.81–0.98) 0.88 (0.80–0.96) 0.95 (0.92–0.98) 
 RR (95% CI)b 1.00 (ref) 1.00 (0.91–1.10) 0.93 (0.84–1.02) 0.92 (0.82–1.02) 0.92 (0.81–1.05) 0.97 (0.93–1.02) 
High-grade cases 
 Number of cases 155 148 155 154 197 809 
 Person-years 100,246 94,099 111,701 90,941 112,023 509,013 
 RR (95% CI)a 1.00 (ref) 1.00 (0.80–1.26) 0.89 (0.71–1.11) 1.08 (0.87–1.36) 1.16 (0.94–1.44) 1.06 (0.98–1.14) 
 RR (95% CI)b 1.00 (ref) 1.00 (0.79–1.26) 0.88 (0.69–1.12) 1.07 (0.83–1.38) 1.13 (0.84–1.53) 1.04 (0.93–1.17) 
Lethal cases 
 Number of cases 84 81 73 73 105 416 
 Person-years 118,721 112,037 131,946 107,264 131,925 601,896 
 RR (95% CI)a 1.00 (ref) 1.01 (0.74–1.38) 0.74 (0.54–1.02) 0.91 (0.66–1.25) 1.14 (0.85–1.53) 1.06 (0.96–1.17) 
 RR (95% CI)b 1.00 (ref) 1.01 (0.74–1.39) 0.74 (0.53–1.04) 0.91 (0.64–1.31) 1.14 (0.75–1.72) 1.07 (0.91–1.26) 
Waist circumference
Q1Q2Q3Q4Q5
58.4–<91.8 cm90.8–<95.3 cm95.3–<100.3 cm100.3–<106.7 cm≥106.7 cmPer 10 cm
All cases 
 Number of cases 1,177 1,121 1,197 1,006 1,210 5,711 
 Person-years 100,246 94,099 111,701 90,941 112,023 509,013 
 RR (95% CI)a 1.00 (ref) 1.01 (0.93–1.09) 0.91 (0.84–0.99) 0.94 (0.87–1.03) 0.93 (0.86–1.01) 0.97 (0.95–1.00) 
 RR (95% CI)b 1.00 (ref) 1.02 (0.94–1.11) 0.93 (0.85–1.01) 0.97 (0.88–1.07) 0.98 (0.87–1.10) 0.99 (0.95–1.04) 
Low-grade cases 
 Number of cases 974 912 988 786 948 4,608 
 Person-years 100,246 94,099 111,701 90,941 112,023 509,013 
 RR (95% CI)a 1.00 (ref) 0.99 (0.90–1.08) 0.91 (0.83–1.00) 0.89 (0.81–0.98) 0.88 (0.80–0.96) 0.95 (0.92–0.98) 
 RR (95% CI)b 1.00 (ref) 1.00 (0.91–1.10) 0.93 (0.84–1.02) 0.92 (0.82–1.02) 0.92 (0.81–1.05) 0.97 (0.93–1.02) 
High-grade cases 
 Number of cases 155 148 155 154 197 809 
 Person-years 100,246 94,099 111,701 90,941 112,023 509,013 
 RR (95% CI)a 1.00 (ref) 1.00 (0.80–1.26) 0.89 (0.71–1.11) 1.08 (0.87–1.36) 1.16 (0.94–1.44) 1.06 (0.98–1.14) 
 RR (95% CI)b 1.00 (ref) 1.00 (0.79–1.26) 0.88 (0.69–1.12) 1.07 (0.83–1.38) 1.13 (0.84–1.53) 1.04 (0.93–1.17) 
Lethal cases 
 Number of cases 84 81 73 73 105 416 
 Person-years 118,721 112,037 131,946 107,264 131,925 601,896 
 RR (95% CI)a 1.00 (ref) 1.01 (0.74–1.38) 0.74 (0.54–1.02) 0.91 (0.66–1.25) 1.14 (0.85–1.53) 1.06 (0.96–1.17) 
 RR (95% CI)b 1.00 (ref) 1.01 (0.74–1.39) 0.74 (0.53–1.04) 0.91 (0.64–1.31) 1.14 (0.75–1.72) 1.07 (0.91–1.26) 

aAdjusted for age, race, family history of prostate cancer, history of PSA testing (time-dependent), history of diabetes (time-dependent), physical activity, energy intake, education, and alcohol intake.

bAdditionally adjusted for BMI.

We found no association between WC and high-grade prostate cancer even though we had more high-grade prostate cancer cases than the largest previous study (809 vs. 641) to report a significant result (7). One difference that might explain the disparate findings is age. The average age of the men in our study at the time of WC measurement was 68 years, whereas it ranged from 52 to 63 years in the other studies that showed positive associations (5–7). With less than 5% of the men in our study less than 60 years old, we were unable to investigate the influence of age on the WC association. Thus, additional research is needed to determine whether the association between WC and high-grade prostate cancer is affected by age.

No potential conflicts of interest were disclosed.

The views expressed here are those of the authors and do not necessarily represent the American Cancer Society or the American Cancer Society – Cancer Action Network.

Conception and design: V.L. Stevens

Development of methodology: V.L. Stevens, A.V. Patel

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): V.L. Stevens, E.J. Jacobs, A.V. Patel, S.M. Gapstur

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): V.L. Stevens, E.J. Jacobs, M.L. Maliniak, A.V. Patel

Writing, review, and/or revision of the manuscript: V.L. Stevens, E.J. Jacobs, M.L. Maliniak, A.V. Patel, S.M. Gapstur

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): M.L. Maliniak

The authors express sincere appreciation to all Cancer Prevention Study II participants and to each member of the study and biospecimen management group. The American Cancer Society funds the creation, maintenance, and updating of the Cancer Prevention Study-II cohort.

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.

1.
World Cancer Research Fund International/American Institute for Cancer Research Continuous Update Project Report
. 
Diet, Nutrition, Physical Activity, and Prostate Cancer
.
Available from
: http://www.wcrf.org/sites/default/files/Prostate-Cancer-2014-Report.pdf.
2.
Lauby-Secretan
B
,
Scoccianti
C
,
Loomis
D
,
Grosse
Y
,
Bianchini
F
,
Straif
K
, et al
Body Fatness and Cancer–Viewpoint of the IARC Working Group
.
N Engl J Med
2016
;
375
:
794
8
.
3.
Neamat-Allah
J
,
Wald
D
,
Husing
A
,
Teucher
B
,
Wendt
A
,
Delorme
S
, et al
Validation of anthropometric indices of adiposity against whole-body magnetic resonance imaging–a study within the German European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts
.
PLoS One
2014
;
9
:
e91586
.
4.
Donohoe
CL
,
Doyle
SL
,
Reynolds
JV
. 
Visceral adiposity, insulin resistance and cancer risk
.
Diabetol Metab Syndr
2011
;
3
:
12
.
5.
World Cancer Research Fund International Systematic Literature Review
. 
The associations between food, nutrition and physical activity and the risk of prostate cancer
.
Available from
: http://www.wcrf.org/sites/default/files/Prostate-Cancer-SLR-2014.pdf.
6.
Moller
H
,
Roswall
N
,
Van Hemelrijck
M
,
Larsen
SB
,
Cuzick
J
,
Holmberg
L
, et al
Prostate cancer incidence, clinical stage and survival in relation to obesity: a prospective cohort study in Denmark
.
Int J Cancer
2015
;
136
:
1940
7
.
7.
Perez-Cornago
A
,
Appleby
PN
,
Pischon
T
,
Tsilidis
KK
,
Tjonneland
A
,
Olsen
A
, et al
Tall height and obesity are associated with an increased risk of aggressive prostate cancer: results from the EPIC cohort study
.
BMC Med
2017
;
15
:
115
.
8.
Calle
EE
,
Rodriguez
C
,
Jacobs
EJ
,
Almon
ML
,
Chao
A
,
McCullough
ML
, et al
The American Cancer Society Cancer Prevention Study II Nutrition Cohort
.
Cancer
2002
;
94
:
2490
501
.