Table of Contents Table of Contents
Previous Page  937 1030 Next Page
Information
Show Menu
Previous Page 937 1030 Next Page
Page Background

recreational PA ( 17.5 MET-h/wk or 5 h of moderate-

intensity activity per week), including walking, was

associated with a lower risk of PCSM among men with

lower-risk tumors but not among men with high-risk

tumors. Higher postdiagnosis recreational PA was associat-

ed with a lower risk of overall PCSM, and walking after

diagnosis also had a suggestive inverse association.

To date, four cohort studies showed inverse associations

between PA and risk of PCSM

[13,15,16]

or progression

[14] ;

however, these results should be interpreted cautiously

because reverse causation is a concern when PA is assessed

close to death date. In a Swedish cohort study, exercising

>

1 h/wk and walking/bicycling

>

20 min/d after diagnosis

(not adjusted for other activities) were associated with a

lower risk of PCSM

[15]

. After an 18-mo lag was applied, the

association of exercise was attenuated and became

nonsignificant, although the association for walking/bicy-

cling remained statistically significant. Similarly, in a

Canadian cohort study, the inverse association between

postdiagnosis recreational PA and PCSM was attenuated

and nonsignificant when excluding men with metastatic

prostate cancer or those who reported PA within 1 yr of

death

[16]

. The nonsignificant results may also be due to

reduced statistical power. In the Health Professionals

Follow-up Study, engaging in

>

3 versus

<

1 h/wk of

vigorous activity after diagnosis was associated with a

61% lower risk of PCSM

[13]

. Although a 4–6-yr lag was

applied in that analysis

[13]

, there is still a concern that the

inverse association could partially be due to reverse

causation since men with advanced disease may decrease

their vigorous intensity activity. In an independent study,

the same research group examined PA with prostate cancer

progression, an outcome less subject to reverse causation

than mortality

[14]

. In that analysis, Richman et al

[14]

found that vigorous activity had a suggestive but not

statistically significant inverse association with progres-

sion, whereas brisk walking (

>

3 miles/h), among men who

did not engage in vigorous activity, was inversely associated

with progression.

To reduce reverse causation bias, we excluded deaths that

occurred within 4 yr of postdiagnosis questionnaire comple-

tion, consistent with the analysis of the Health Professionals

Follow-up Study

[13] .

Moreover, we examined prediagnosis

recreational PA as a surrogate of long-term recreational PA to

confirm our findings. In this study, pre- and postdiagnosis

continuous recreational MET–h/wk were moderately corre-

lated (Pearson correlation coefficient = 0.4). The inverse

association of prediagnosis recreational PA with PCSM

observed among men with lower-risk tumors supports the

possibility that PAmight play a role in tumor progression and

thus the inverse association with postdiagnosis recreational

PA was not purely due to reverse causation.

An inverse association between PA and prostate cancer

progression may be due to reduced insulin resistance,

insulin-like growth factor-1, sex hormone levels, inflam-

mation, and increasing immune function among more

physically active men

[26–28] .

Recent human studies

further suggest that prediagnosis PA can influence gene

expression relating to cell cycling, DNA repair, and oxidative

stress pathways among others in normal prostate tissues

[29]

, and influence vascularization relating to progression

in prostate tumors

[17]

.

Strengths of this study include its large sample size, long-

term follow-up, and assessment of both pre- and post-

diagnosis recreational PA. A limitation of this study, also

seen in most large cohort studies, is potential measurement

error from one-time self-reported PA, which can attenuate

the true associations. Although the instrument used in the

present study has not been validated in this population, it is

similar to that used and validated in the Health

[29_TD$DIFF]

Professionals Follow-up Study, a prospective study with

similar participant characteristics

[30]

. These measures

have also been associated with various cancers in the CPS-II

Nutrition Cohort

[31,32]

. An additional limitation is that the

association between PA and lower risk of PCSM could partly

be due to more intensive PSA screening or medical

surveillance among physically active men, resulting in less

advanced disease at diagnosis. In our analysis, physically

active men were slightly more likely to have a self-reported

history of PSA testing, and lower stage and grade cancer at

diagnosis than less active men. Although our analysis

controlled for both a simple measure of self-reported

history of PSA testing and disease stage and grade, positive

confounding by severity of disease at diagnosis cannot be

excluded. Finally, the lack of information on treatment

completion date, adjuvant therapies, adverse effects from

treatment, and tumor recurrence limited us from better

controlling for confounding by treatment and examining

progression more directly. Residual confounding due to

other unmeasured confounders may also exist.

5.

Conclusions

In conclusion, we found higher levels of postdiagnosis

recreational PA were associated with lower PCSM. Pre-

diagnosis recreational PA, including walking, was associat-

ed with a lower risk of PCSM among men with lower-risk

tumors. Given other evidence regarding the beneficial

effects of aerobic exercise on reducing fatigue, and

improving the quality of life and muscular fitness among

prostate cancer survivors

[33–35] ,

our results provide

further motivation for prostate cancer survivors to adhere

to or exceed recommendations for moderate- to vigorous-

intensity activities. This study also supports the importance

of ongoing and future clinical trials to assess the influence of

PA on tumor progression

[36–39] .

Part of the abstract was presented at the 2016 AACR

Annual Conference, New Orleans, LA, USA, April 2016.

Author contributions:

Ying Wang had full access to all the data in the

study and takes responsibility for the integrity of the data and the

accuracy of the data analysis.

Study concept and design:

Wang, Jacobs, Gapstur, Patel.

Acquisition of data:

All authors.

Analysis and interpretation of data:

All authors.

Drafting of the manuscript:

Wang.

Critical revision of the manuscript for important intellectual content:

Jacobs,

Gapstur, Gansler, McCullough, Stevens, Patel.

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 9 3 1 – 9 3 9

937