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A prospective study of socioeconomic status, prostate cancer screening and incidence among men at high risk for prostate cancer
Authors:Andrew Rundle  Kathryn M. Neckerman  Daniel Sheehan  Michelle Jankowski  Oleksandr N. Kryvenko  Deliang Tang  Benjamin A. Rybicki
Affiliation:1. Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York City, NY, 10032, USA
2. Columbia Population Research Center, Columbia University, 1255 Amsterdam Avenue, New York City, NY, 10027, USA
3. Institute for Social and Economic Research and Policy, 420 West 118th Street, New York, NY, 10027, USA
4. Department of Public Health Sciences, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
5. Department of Surgical Pathology, Henry Ford Hospital, 1 Ford Place, Detroit, MI, 48202, USA
6. Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York City, NY, 10032, USA
Abstract:

Purpose

Higher socioeconomic status (SES) men are at higher risk of prostate cancer (PCa) diagnosis, an association commonly interpreted as a function of higher rates of prostate screening among higher SES men. However, the extent to which screening explains this association has not been well quantified.

Methods

Within a Detroit area cohort of 6,692 men followed up after a benign prostate procedure, a case–control study was conducted of 494 PCa cases and controls matched on age, race, duration of follow-up, and date of initial benign finding; 2000 Census data were used in a principal component analysis to derive a single factor, labeled the neighborhood SES index (NSESI), representing zip code-level SES.

Results

Among cases, higher SES was associated with a younger age at initial biopsy: ?1.48 years (95 % CI, ?2.32, ?0.64) per unit NSESI. After adjustment for confounders and duration of follow-up, higher SES was associated with more PSA tests and DRE during follow-up; 9 % (95 % CI, 2, 16) and 8 % (95 % CI, 1, 15) more respectively, per unit NSESI. Higher SES was associated with a higher risk of PCa diagnosis during follow-up, multivariable adjusted OR = 1.26 per unit increase in NSESI (95 % CI, 1.04, 1.49). Further adjustment for screening frequency somewhat reduced the association between SES and PCa risk (OR = 1.19 per unit NSESI, 95 % CI, 0.98, 1.44).

Conclusions

Differences in screening frequency only partially explained the association between higher zip code SES and PCa risk; other health care-related factors should also be considered as explanatory factors.
Keywords:
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