Race and poverty as confounders for increased antihypertensives in NHANES 2013-2020 respondents

Location

E4117 and E4119

Document Type

Presentation

Start Date

30-11-2023 2:00 PM

End Date

30-11-2023 3:00 PM

Description

Abstract

Background: This study explores the relationship between one’s number of antihypertensive prescriptions (AHPs) and the confluence of demographic factors including race, gender, education, and poverty level.

Methods: 2013 to pre-pandemic 2020 NHANES responses were utilized. Respondents aged 18+ with ≥1 AHP for an ICD-10 code for “essential hypertension” or “hypertension prevention” were included. GraphPad Prism 10 was used for analyses.

Results: Multiple linear regression controlling for age, gender, race, education, birthplace, and marital status was significant (R 2 =0.023 , F(16, 2791)=4.159, p< 0.0001). More AHPs were prescribed at 1x to < 5x poverty vs. ≥5x poverty (β=-0.0985, p=0.0271).

Two-way regression controlling for age and gender was significant (R 2 =0.020, F(23, 2784)=2.508, p< 0.0001). Non-Hispanic Black respondents 1x to < 5x poverty predicted more AHPs vs. Non-Hispanic White below (β=-0.1531, p=0.241) or ≥5x (β=-0.3483, p< 0.0001) poverty.

Adjusting for race, education, and birthplace, there was no significant difference in number of AHPs between genders (β=-0.0203, p=0.347). GED/high school graduation did not predict differences in AHPs vs. education < 9th grade (β=-0.0526, p=0.2053), 9-11th grade (β=0.0280, p=0.437), some college (β=0.0230, p=0.4304), or college graduation (β=-0.0176, p=0.5848).

Conclusion: Non-Hispanic Black individuals and those living between 1x and 5x poverty level were associated with more AHP prescriptions. This points to potential bias in prescription of antihypertensives.

This document is currently not available here.

Share

COinS
 
Nov 30th, 2:00 PM Nov 30th, 3:00 PM

Race and poverty as confounders for increased antihypertensives in NHANES 2013-2020 respondents

E4117 and E4119

Abstract

Background: This study explores the relationship between one’s number of antihypertensive prescriptions (AHPs) and the confluence of demographic factors including race, gender, education, and poverty level.

Methods: 2013 to pre-pandemic 2020 NHANES responses were utilized. Respondents aged 18+ with ≥1 AHP for an ICD-10 code for “essential hypertension” or “hypertension prevention” were included. GraphPad Prism 10 was used for analyses.

Results: Multiple linear regression controlling for age, gender, race, education, birthplace, and marital status was significant (R 2 =0.023 , F(16, 2791)=4.159, p< 0.0001). More AHPs were prescribed at 1x to < 5x poverty vs. ≥5x poverty (β=-0.0985, p=0.0271).

Two-way regression controlling for age and gender was significant (R 2 =0.020, F(23, 2784)=2.508, p< 0.0001). Non-Hispanic Black respondents 1x to < 5x poverty predicted more AHPs vs. Non-Hispanic White below (β=-0.1531, p=0.241) or ≥5x (β=-0.3483, p< 0.0001) poverty.

Adjusting for race, education, and birthplace, there was no significant difference in number of AHPs between genders (β=-0.0203, p=0.347). GED/high school graduation did not predict differences in AHPs vs. education < 9th grade (β=-0.0526, p=0.2053), 9-11th grade (β=0.0280, p=0.437), some college (β=0.0230, p=0.4304), or college graduation (β=-0.0176, p=0.5848).

Conclusion: Non-Hispanic Black individuals and those living between 1x and 5x poverty level were associated with more AHP prescriptions. This points to potential bias in prescription of antihypertensives.