Race/Ethnicity, Socioeconomic Status, and Polypharmacy among Older Americans

<b>Background:</b> Very few studies with nationally representative samples have investigated the combined effects of race/ethnicity and socioeconomic position (SEP) on polypharmacy (PP) among older Americans. For instance, we do not know if prevalence of PP differs between African Americ...

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Main Authors: Shervin Assari (Author), Mohsen Bazargan (Author)
Format: Book
Published: MDPI AG, 2019-04-01T00:00:00Z.
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LEADER 00000 am a22000003u 4500
001 doaj_fa14980ebf424953aa1bd7ee5d6ae4a1
042 |a dc 
100 1 0 |a Shervin Assari  |e author 
700 1 0 |a Mohsen Bazargan  |e author 
245 0 0 |a Race/Ethnicity, Socioeconomic Status, and Polypharmacy among Older Americans 
260 |b MDPI AG,   |c 2019-04-01T00:00:00Z. 
500 |a 2226-4787 
500 |a 10.3390/pharmacy7020041 
520 |a <b>Background:</b> Very few studies with nationally representative samples have investigated the combined effects of race/ethnicity and socioeconomic position (SEP) on polypharmacy (PP) among older Americans. For instance, we do not know if prevalence of PP differs between African Americans (AA) and white older adults, whether this difference is due to a racial gap in SEP, or whether racial and ethnic differences exist in the effects of SEP indicators on PP. <b>Aims:</b> We investigated joint effects of race/ethnicity and SEP on PP in a national household sample of American older adults. <b>Methods:</b> The first wave of the University of Michigan National Poll on Healthy Aging included a total of 906 older adults who were 65 years or older (80 AA and 826 white). Race/ethnicity, SEP (income, education attainment, marital status, and employment), age, gender, and PP (using 5+ medications) were measured. Logistic regression was applied for data analysis. <b>Results:</b> Race/ethnicity, age, marital status, and employment did not correlate with PP; however, female gender, low education attainment, and low income were associated with higher odds of PP among participants. Race/ethnicity interacted with low income on odds of PP, suggesting that low income might be more strongly associated with PP in AA than white older adults. <b>Conclusions:</b> While SEP indicators influence the risk of PP, such effects may not be identical across diverse racial and ethnic groups. That is, race/ethnicity and SEP have combined/interdependent rather than separate/independent effects on PP. Low-income AA older adults particularly need to be evaluated for PP. Given that race and SEP have intertwined effects on PP, racially and ethnically tailored interventions that address PP among low-income AA older adults may be superior to universal interventions and programs that ignore the specific needs of diverse populations. The results are preliminary and require replication in larger sample sizes, with PP measured directly without relying on individuals&#8217; self-reports, and with joint data collected on chronic disease. 
546 |a EN 
690 |a social determinants 
690 |a socioeconomic status 
690 |a polypharmacy 
690 |a ethnicity 
690 |a race 
690 |a African Americans 
690 |a Blacks 
690 |a Pharmacy and materia medica 
690 |a RS1-441 
655 7 |a article  |2 local 
786 0 |n Pharmacy, Vol 7, Iss 2, p 41 (2019) 
787 0 |n https://www.mdpi.com/2226-4787/7/2/41 
787 0 |n https://doaj.org/toc/2226-4787 
856 4 1 |u https://doaj.org/article/fa14980ebf424953aa1bd7ee5d6ae4a1  |z Connect to this object online.