Abstract
This study examined ethnic/racial influences on the relationship of cognitive performance and functional abilities of 2,713 older individuals from the National Health and Nutrition Examination Survey (NHANES). Functional domains included activities of daily living (ADL), instrumental ADL, and leisure and social activities. In adjusted logistic regression models, low cognitive performance as assessed by the Digit Symbol Substitution Test was found significantly associated with functional limitation in each domain. However, moderation analysis revealed that being Hispanic and non-Hispanic Black may weaken this association demonstrating protective effects of underrepresented ethnic/racial status. Future studies should investigate perceived discrimination and resilience.
Keywords
INTRODUCTION
There is consistent evidence that cognitive impairment in Alzheimer’s disease and related dementias (ADRD) is associated with functional limitations among older adults [1]. Overall, individuals with some degrees of impairment in different cognitive domains including executive functioning (often measured by Digit Symbol Substitution Test) have difficulties in key components of daily activities and making everyday life decisions [2–4]. Historically underrepresented groups in the U.S. such as African Americans and Hispanics are greater at-risk for developing later life disability and dependence [1, 5] which may be associated with their higher likelihood of ADRD compared to the White populations [6]. Nevertheless, the complexity of the interrelationships between cognition, functional ability, and race/ethnicity, has not been well studied from the perspective of ethnoracial intersectionality. Race and ethnicity are self-identified social constructs; however, health research to date has often misrepresented them as the biological basis of many diseases and health outcomes [7]. This phenomenon has disregarded the need to explore systemic inequities in social determinants [7] driving potential differences in cognitive health status, dementia burden and consequences across race/ethnicity groups [8, 9]. In 2015, the National Institute of Aging (NIA) established a framework for describing factors/social determinants of health disparities at different levels (e.g., environmental, sociocultural, behavioral, and biological) that considers race/ethnicity as a fundamental factor [8]. This framework recommends examining the mechanisms by which these factors interact at different levels to influence ethnoracial disparities in dementia.
In 2021, a study that aimed to explore ethnoracial differences in the association between instrumental activities of daily living and cognition found no significant differences [4]. However, in 2022, other findings demonstrated positive associations between two physical function measures, grip strength and gait speed, and cognition across race/ethnicity, while revealing a significant difference among the Black and Latino groups in the association between gait speed and executive function [10]. These findings warrant further inquiry to elucidate the extent to which underrepresented race/ethnic status, such as African American or Hispanic, impacts the aging process, as well as understanding the role of ethnoracial differences in the relationship between cognition and functional ability. With this goal in mind, our study examined the association between low cognitive performance and functional limitations while exploring the moderating effect of race/ethnicity in this association.
METHODS
Study design and sample
The National Health and Nutrition Examination Survey (NHANES) 2011–2014 cohort data were analyzed cross-sectionally [11]. This nationally representative sample of noninstitutionalized children and adults in the U.S. was selected using a multistage cluster sampling technique. Non-Hispanic Black, non-Hispanic Asian, Hispanic individuals, and older adults were oversampled to produce more reliable estimates [11, 12]. The National Center for Health Statistics Ethical Review Board approved NHANES and all participants provided written informed consent. More information on the study sample and survey design is described in a previous study [13]. Participants who were aged≥60 years, identified themselves as Hispanic, non-Hispanic Black, or non-Hispanic White and who completed Digit Symbol Substitution Test were included in this study. Thus, our analytic sample size was 2,713.
Cognitive assessment
The Digit Symbol Substitution Test (DSST) was administered for cognitive assessment. This cognitive test measures specific components of executive functioning such as attention, processing speed, and working memory. In the DSST, participants received one point per correctly matched digit-symbol pair with a possible score of 133 within two minutes. To identify participants with low cognitive performance, a cut-off point for DSST was computed through the percentiles of the study population. The DSST score at the 25th percentile was 33 and a score below this point was considered a low DSST score. The participants receiving a low DSST score were considered to have a low cognitive performance in this study and coded as 1 (versus no low cognitive performance as 0). Several studies using the NHANES data adopted similar approaches to examine cognitive impairment/low cognitive performance previously [2, 14].
Functional limitations
Assessment of functional limitations included 10 questions from three domains: activities of daily living (ADL) (e.g., eating, dressing, walking between rooms on same floor, getting in and out of bed); instrumental activities of daily living (IADL) (e.g., managing money, house chore, preparing meals); and leisure and social activities (LSA) (e.g., going out to movies and events, attending social events, leisure activities at home). Similar to the previous studies [2, 15], participants reporting some difficulty, much difficulty, or inability to perform at least one task in a specific domain by themselves without any special equipment were considered as having functional limitation coded as 1 (versus no difficulty as 0) within that given domain. Participants who do not do these activities were excluded.
Race and ethnicity
Race/ethnicity was categorized into: Hispanics, non-Hispanic Black (NHB) and non-Hispanic White (NHW). Hispanic and NHB were dummy coded with NHW as the reference group.
Covariates
We added demographic and health-related covariates that can confound the relationship of cognition and functional abilities: age (continuous), sex (male/female), education (<high school, high school graduate or some college, college graduate or above), ratio of family income to poverty (<1, 1–3,>3), body mass index (BMI) (kg/m2) (normal (18.5 < 25), overweight (25 < 30), obese (>30)), health insurance (yes/no), and place for routine healthcare(yes/no).
Statistical analysis
We assessed the differences in demographic characteristics, cognitive performance, and the functional domains overall and across race/ethnicity using bivariate analyses, specifically chi-square test and analysis of variance (ANOVA). Crude and multivariable-adjusted binary logistic regression were performed and weighted to determine if the level of functional limitation in each domain varied with the level of cognitive performance. Three crude models were computed separately to examine the association between low DSST score and functional limitation in each domain: ADL, IADL, and LSA. The crude models were then adjusted for all covariates. Another set of models were created by entering the interaction terms with each race/ethnicity variable and low DSST scores in the adjusted models to examine if race/ethnicity moderated the effect of low cognitive performance on functional limitations. We additionally created stratified models for each racial/ethnic group (overall and by sex) to examine the associations separately. All analyses were performed using SAS version 9.4 and statistical significance was set at p < 0.05.
RESULTS
Table 1 shows the differences in demographic characteristics, cognitive performance, and functional domains overall and across race/ethnicity. Hispanic and NHB participants were younger, more obese and tended to have less than high school education and relatively lower socioeconomic status compared to the NHW participants. A greater proportion of Hispanics and NHBs had ADL difficulties compared to NHWs. Approximately 39% of Hispanics and 31% of NHBs had low DSST scores compared to 13.37% of NHWs.
Differences in demographic characteristics, cognitive performance, and functional domains overall and across race and ethnicity
NHB, Non-Hispanic Black; NHW, Non-Hispanic White; HSG, High School Graduate; SC, Some College; CG, College Graduate; ADL, Activities of Daily Living; IADL, Instrumental Activities of Daily Living; LSA, Leisure and Social Activities.
In the crude analyses, significant associations were revealed between low DSST scores and limitations for all functional domains. Table 2 displays results from the adjusted logistic regression analyzing associations between low DSST score and each domain of functional limitations and moderation effects of race/ethnicity in these associations. The participants with low DSST scores had 2.45 (CI 1.64–3.67) greater odds for ADL difficulties; 2.73 for IADL difficulties (CI 1.77–4.20); and 2.53 for LSA difficulties (CI 1.79–3.57) compared to those who did not have low DSST scores when adjusted for all covariates (Table 2). Results from the moderation analysis indicated that these main effects were qualified by significant interactions between each race/ethnicity variable and low DSST score (Hispanic*Low DSST; NHB*Low DSST) (Table 2). Compared to the NHWs, Hispanics with low DSST score were found to be less likely to exhibit limitations in ADL (OR 0.33, CI 0.23–0.46), IADL (OR 0.28, CI 0.20–0.39), and LSA (OR 0.35, CI 0.26–0.48) domains. Similarly, NHBs with low DSST score were less likely to exhibit limitations in ADL (OR 0.40, CI 0.29–0.54), IADL (OR 0.29, CI 0.22–0.40), and LSA (OR 0.38, CI 0.26–0.54) domains.
Adjusted logistic regression analyzing association between low cognitive performance and functional limitations in different domains and the moderating effect of race/ethnicity (weighted)
aAdjusted logistic regression controlling for all covariates; bAdjusted logistic regression with interaction terms controlling for all covariates; ADL, Activities of Daily Living; IADL, Instrumental Activities of Daily Living; LSA, Leisure and Social Activities; DSST, Digit Symbol Substitution Test; HSG, High School Graduate; SC, Some College; CG, College Graduate; FIPR, Family Income to Poverty Ratio.
In the stratified models, the association between low cognitive performance and functional limitations remained significant for the NHWs in ADL, IADL, and LSA domains (OR 2.91, 3.69, 3.21, respectively), became attenuated for the NHBs (OR 1.76, 1.63, 1.80, respectively), and non-significant for the Hispanics (OR 1.42, 0.90, 1.05, respectively) (Fig. 1 and Supplementary Table 1). This subgroup analysis supports our results in moderation analysis and indicates that the associations are different across the racial/ethnic groups. Additionally, the stratified results did not differ by sex in respective race/ethnicity except for NHB females which became non-significant.

Predicted Probabilities of Functional Limitations among Hispanics, Non-Hispanic Blacks (NHB), and Non-Hispanic Whites (NHW).
DISCUSSION
This research indicates that low cognitive performance is significantly associated with functional limitations in several domains among the U.S. older adults. However, being Hispanic and Black may weaken this association, thus, exerting a protective effect. Our results align with the existing evidence describing the link between cognitive performance and functional abilities which may differ by race/ethnicity [1, 16]. A study by Kuo and colleagues demonstrated an association between poorer DSST scores and later life disability in several functional domains using the NHANES 1999–2002 data [2]. Our findings are further supported by George and colleagues suggesting associations between stronger grip strength and faster gait speed with better cognition in multiple domains across race/ethnicity [10]. Like our results, their analysis also revealed a significant racial/ethnic difference in the relationship of gait speed with executive function which became weakened for the Black participants and non-significant for the Latinos compared to the Whites and Asians.
The negative moderating effect of NHBs and Hispanics on the association between low cognitive performance and functional limitations revealed in our study, may have been influenced by the age or age-related factors. Older adults from NHB and Hispanic groups were younger than the NHWs, although this could not be addressed in our analysis as the DSST does not have any age-specific cut-off points. Furthermore, the functional limitations were self-reported, and perceptions of the intensity/level of difficulties may vary across different races/ethnicities or culture. Current research, including this study, fails to capture cultural understandings of physical functionality as most of the existing measures have not been culturally validated [17]. An assessment of functional limitation that involves culturally adapted objective measures is needed to explain the cross-cultural differences as well as to mitigate self-reporting bias. The protective effect of Hispanic and NHB race/ethnicity on the development of functional limitations among people with low cognitive performance in specific domains, however, may be explained by the protective factor model of resiliency [18]. This model demonstrates the moderating effect of protective factors and how they interact with specific risk factors to mitigate negative health consequences [18–21]. Racial centrality, the degree to which an individual perceives his/her racial identity [22] possesses protective properties [16]. Individuals with high racial centrality are more likely to be resilient due to experiencing more racial discrimination and can develop effective coping strategies that may extend to functional difficulties [18, 23]. The NIA health disparities framework describes specific psychological capacities, individual attitudes, and utilizations of social support as the resilience factors that contribute to coping mechanisms when exposed to perceived psychosocial stressors [8, 24–26]. Practicing some behaviors including physical, spiritual, or social activities regulate these resilience factors in response to negative environmental and sociocultural experiences [24, 27] such as limited healthcare access due to different cultural beliefs and languages, discrimination, immigration status, and other societal challenges among the underrepresented racial/ethnic groups in the U.S. [8, 9]. On the other hand, tobacco use, alcohol consumption, poor diet quality etc. are some negative health behaviors adopted as coping strategies that adversely impact quality of life over the course of time [28].
The findings of this study shed light on the potential resilience of Hispanic and NHB participants with low cognitive performance when compared with similarly challenged Whites with respect to functional limitations. The moderating effect of Hispanic and Black race/ethnicity in the association of low cognitive performance and functional limitations found in this study has clinical implications for dementia and cognitive health disparity and warrants further inquiry. Qualitative investigations of personal, sociocultural, or environmental factors (e.g., perceived racial bias, perceived racial discrimination, racial identity) associated with biopsychosocial models of functionality among historically underrepresented groups with poorer cognitive performance or cognitive impairment may clarify the contributions of these factors in this pathway. Moreover, a prospective design should be considered in future research as the cross-sectional nature of the NHANES data does not assess temporality or causal associations between the studyvariables.
Footnotes
ACKNOWLEDGMENTS
Previously, a poster was presented at American Geriatrics Society Annual Scientific Meeting on May 12, 2022.
FUNDING
The authors have no funding to report.
CONFLICT OF INTEREST
Rifat B. Alam is an Editorial Board Member (Associate Editor) of this journal but was not involved in the peer-review process nor had access to any information regarding its peer-review.
All other authors have no conflict of interest to report.
