Background Racial/ethnic frailty prevalence disparities have been documented. Better elucidating how these operate may inform interventions to eliminate them. We aimed to determine whether physical frailty phenotype (PFP) prevalence disparities (i) are explained by health aspects, (ii) vary by income, or (iii) differ in degree across individual PFP criteria. Methods Data came from the 2011 National Health and Aging Trends Study baseline evaluation. The study sample (n = 7,439) included persons in all residential settings except nursing homes. Logistic regression was used to achieve aims (i)–(iii) listed above. In (i), health aspects considered were body mass index (BMI) status and number of chronic diseases. Analyses incorporated sampling weights and adjusted for sociodemographic factors. Results Comparisons are versus non-Hispanic whites: Non-Hispanic blacks (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.21–1.76) and Hispanics (1.56, 1.20–2.03) continued to have higher odds of frailty after accounting for BMI status and number of chronic diseases. Non-Hispanic blacks had elevated odds of frailty in all income quartiles, including the highest (OR = 2.19, 1.24–3.397). Racial/ethnic disparities differed considerably across frailty criteria, ranging from a twofold increase in odds of slowness to a 25%–30% decrease in odds of self-reported exhaustion. Conclusions BMI and disease burden do not explain racial/ethnic frailty disparities. Black–white disparities are not restricted to low-income groups. Racial/ethnic differences vary considerably by NHATS PFP criteria. Our findings support the need to better understand mechanisms underlying elevated frailty burden in older non-Hispanic black and Hispanic Americans, how phenotypic measures capture frailty in racial/ethnic subgroups and, potentially, how to create assessments more comparable by race/ethnicity.
In this study, two telephone interviews that assessed both religious involvement and health-related quality of life were conducted approximately 2.5 years apart in a national sample of 290 African Americans. Religious involvement was assessed with an instrument that measured both personal religious beliefs (e.g., having a personal relationship with God) and more public religious behaviors (e.g., attending church services). Health-related quality of life was measured with version 2 of the Medical Outcomes Study 12-item short form (SF-12v2). Structural equation models indicated that higher religious beliefs at baseline predicted better physical and mental health 2.5 years later. Higher religious behaviors at baseline contributed smaller, complementary suppression effects. Physical and mental health indicators from the SF-12v2 at baseline did not predict changes in either religious beliefs or religious behaviors over time. These findings indicate that, for African Americans, personal religious beliefs lead to beneficial health effects over time, whereas individual differences in health do not appear to predict changes in religious involvement.
Purpose The purpose of this article was to assess segregation’s role on race differences in hypertension among non-Hispanic Blacks and Whites aged 50 and over. Method Hypertension was defined as systolic blood pressure (BP) ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, or self-reported antihypertensive medication use. Segregation measures combined race, neighborhood racial composition, and individual and neighborhood poverty level. Logistic models produced odds ratios and 95% confidence intervals (CIs) for each segregation category, adjusting for health-related factors. Results Blacks in Black (OR = 2.54, CI = [1.61, 4.00]), White (OR = 2.56, CI = [1.24, 5.31]), and integrated neighborhoods (OR = 3.23, CI = [1.72, 6.03]) had greater odds of hypertension compared with Whites in White neighborhoods. Poor Whites in poor neighborhoods (OR = 1.74, CI = [1.09, 2.76]), nonpoor Blacks in nonpoor (OR = 3.03, CI = [1.79, 5.12]) and poor neighborhoods (OR = 4.08, CI = [2.16, 7.70]), and poor Blacks in nonpoor (OR = 4.35, CI = [2.17, 8.73]) and poor neighborhoods (OR = 2.75, CI = [1.74, 4.36]) had greater odds compared with nonpoor Whites in nonpoor neighborhoods. Conclusion Interventions targeting hypertension among older adults should consider neighborhood compositions.
Racial differences in physical activity among men are well documented; however, little is known about the impact of marital status on this relationship. Data from the National Health and Examination Survey (NHANES) 1999–2006 was used to determine whether the association of race and physical activity among men varied by marital status. Marital status was divided into two categories: married and unmarried. Physical activity was determined by the number of minutes per week a respondent engaged in household/yard work, moderate and vigorous activity, or transportation (bicycling and walking) over the past 30 days. The sample included 7,131 African American (29%) and White(71%) men aged 18 years and older. All models were estimated using logistic regression. Because the interaction term of race and marital status was statistically significant (p < .001), the relationship between race, physical activity, and marital status was examined using a variable that reflects the different levels of the interaction term. After adjusting for age, income, education, weight status, smoking status, and self-rated health, African American married men had lower odds (odds ratio = 0.53, 95% confidence interval = [0.46–0.61], p < .001) of meeting federal physical activity guidelines compared with White married men. Possible dissimilarities in financial and social responsibilities may contribute to the racial differences observed in physical activity among African American and White married men.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.