Harvey L Nicholson1, Jolene Vincent2. 1. a Department of Sociology , University of Central Florida , Orlando , Florida , USA. 2. b Department of Sociology , College of William and Mary , Williamsburg , Virginia , USA.
Abstract
BACKGROUND: Prescription opioid misuse (POM) is a significant problem among U.S. adults, including Blacks, as indicated by past research. Despite potential gender differences in POM among Black adults, previous research has yet to examine this possibility. OBJECTIVES: This study identified the prevalence and unique correlates of POM among both Black men and Black women. Results were compared to those of Whites. METHODS: We used data from 2015-2016 National Survey on Drug Use and Health (N = 60,133). Weighted logistic regression models stratified by race and gender were estimated. One model was stratified by gender only, with race serving as the primary predictor. RESULTS: Findings revealed 3.4% of Black women, 4.9% of Black men, 4.1% of White women, and 5.4% of White men reported past-year POM; although, no significant differences were found. Among Black women only, lower socioeconomic status increased odds of POM. Higher educational attainment, residence in rural areas and older age lowered odds of POM. Encounters with drug dealers, illicit drug, marijuana, and tobacco use, other prescription drug misuse, and poor health were associated with increased odds of POM among Black men. In the gender stratified models, White men were more likely to report POM than Black men. However, White women were not more likely to report POM compared to Black women. CONCLUSIONS: Clear gender differences exist in the prevalence and correlates of POM among Black adults. Prevention and intervention strategies must be cognizant of these differences when developing programs to decrease POM.
BACKGROUND: Prescription opioid misuse (POM) is a significant problem among U.S. adults, including Blacks, as indicated by past research. Despite potential gender differences in POM among Black adults, previous research has yet to examine this possibility. OBJECTIVES: This study identified the prevalence and unique correlates of POM among both Black men and Black women. Results were compared to those of Whites. METHODS: We used data from 2015-2016 National Survey on Drug Use and Health (N = 60,133). Weighted logistic regression models stratified by race and gender were estimated. One model was stratified by gender only, with race serving as the primary predictor. RESULTS: Findings revealed 3.4% of Black women, 4.9% of Black men, 4.1% of White women, and 5.4% of White men reported past-year POM; although, no significant differences were found. Among Black women only, lower socioeconomic status increased odds of POM. Higher educational attainment, residence in rural areas and older age lowered odds of POM. Encounters with drug dealers, illicit drug, marijuana, and tobacco use, other prescription drug misuse, and poor health were associated with increased odds of POM among Black men. In the gender stratified models, White men were more likely to report POM than Black men. However, White women were not more likely to report POM compared to Black women. CONCLUSIONS: Clear gender differences exist in the prevalence and correlates of POM among Black adults. Prevention and intervention strategies must be cognizant of these differences when developing programs to decrease POM.
Authors: Lily A Brown; Cecile M Denis; Anthony Leon; Michael B Blank; Steven D Douglas; Knashawn H Morales; Paul F Crits-Christoph; David S Metzger; Dwight L Evans Journal: Drug Alcohol Depend Date: 2021-04-24 Impact factor: 4.852
Authors: Jill A Rabinowitz; Jin Jin; Sally I-Chun Kuo; Adrian I Campos; Miguel E Rentería; Andrew S Huhn; Johannes Thrul; Beth A Reboussin; Kelly Benke; Benjamin Domingue; Nicholas S Ialongo; Brion S Maher; Darlene Kertes; Vanessa Troiani; George Uhl Journal: PLoS One Date: 2022-04-08 Impact factor: 3.240
Authors: Francisco A Montiel Ishino; Philip R McNab; Tamika Gilreath; Bonita Salmeron; Faustine Williams Journal: BMC Public Health Date: 2020-11-18 Impact factor: 3.295