Literature DB >> 32241385

Race differences in mobility status among prostate cancer survivors: The role of socioeconomic status.

Roland J Thorpe1, Marino A Bruce2, Daniel L Howard3, Thomas A LaVeist4.   

Abstract

The objective of this paper was to determine whether there were any race differences in mobility limitation among PCa survivors, and understand the impact of socioeconomic status (SES) on this relationship. Data consisted of 661 PCa survivors (296 Black and 365 White) from the Diagnosis and Decisions in Prostate Cancer Treatment Outcomes (DAD) Study. Mobility limitation was defined as PCa survivors who reported difficulty walking a quarter mile or up 1 flight of stairs. Race was based on the PCa survivors self-identification of either White or Black. SES consisted of education level (i.e., less than high school, high school/GED, some college/associate, bachelors, masters/PhD) and annual household income (i.e., less than $50,000; $50,000-$100,000; greater than $100,000). Adjusting for age, marital status, health insurance, Gleason Score, treatment received, and time to treatment, Black PCa survivors had a higher prevalence of mobility limitation (PR=1.58, 95% CI: 1.17-2.15) relative to White PCa survivors. When adding education and income to the adjusted model, Black PCa survivors had a similar prevalence of mobility limitation (PR=1.12, 95% CI: 0.80-1.56) as White PCa survivors. The unequal distribution of SES resources between Black and White PCa survivors accounted for the observed race differences in mobility limitation. This work emphasizes the importance of SES in understanding race differences in mobility among PCa survivors.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health disparity; Mobility status; Physical functioning; Prostate cancer; Race; Socioeconomic status

Year:  2020        PMID: 32241385     DOI: 10.1016/bs.acr.2020.01.006

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  4 in total

1.  The Association Between Depressive Symptoms and Accumulation of Stress Among Black Men in the Health and Retirement Study.

Authors:  Roland J Thorpe; Ryon Cobb; Keyonna King; Marino A Bruce; Paul Archibald; Harlan P Jones; Keith C Norris; Keith E Whitfield; Darrell Hudson
Journal:  Innov Aging       Date:  2020-09-29

2.  A novel prognostic model for Japanese patients with newly diagnosed bone-metastatic hormone-naïve prostate cancer.

Authors:  Yasuhide Miyoshi; Masato Yasui; Shuko Yoneyama; Takashi Kawahara; Yoshihiro Nakagami; Yoshimasa Ohno; Junpei Iizuka; Kazunari Tanabe; Yasunobu Hashimoto; Hideyasu Tsumura; Ken-Ichi Tabata; Masatsugu Iwamura; Akihiro Yano; Satoru Kawakami; Hiroji Uemura
Journal:  BJUI Compass       Date:  2020-09-18

3.  A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer: A Population-Based Study.

Authors:  Zhaoxia Zhang; Chenghao Zhanghuang; Jinkui Wang; Tao Mi; Jiayan Liu; Xiaomao Tian; Liming Jin; Dawei He
Journal:  Front Public Health       Date:  2022-07-12

4.  Health Burdens and SES in Alabama: Using Geographic Information System to Examine Prostate Cancer Health Disparity.

Authors:  Seela Aladuwaka; Ram Alagan; Rajesh Singh; Manoj Mishra
Journal:  Cancers (Basel)       Date:  2022-10-02       Impact factor: 6.575

  4 in total

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