Cross-Ethnic Differences in the Severity of Neuropsychiatric Symptoms in Persons With Mild Cognitive Impairment and Alzheimer's Disease
Publication: The Journal of Neuropsychiatry and Clinical Neurosciences
Abstract
In this cross-sectional study, we examined the neuropsychiatric profile of mild cognitive impairment (MCI) and Alzheimer's disease (AD) using the Neuropsychiatric Inventory Questionnaire (NPI-Q). Data were available on 875 controls, 339 MCI cases, and 975 AD participants. Surprisingly, differences in neuropsychiatric symptom (NPS) severity by ethnicity in subjects with AD, but not with MCI, were found. More so, in Hispanics with AD, a higher frequency in most of the individual NPI-Q symptom items of the scale was observed, except for apathy. After adjustment for clinical features, some individual NPI-Q symptoms also showed an association with Hispanic ethnicity in the control group that nearly reached statistical significance. There may be cross-ethnic differences in the neuropsychiatric presentation of AD in Hispanics versus non-Hispanic whites. Future studies are needed to clarify the etiology of these differences, and to assess the need for ethnicity-specific treatment and care-giving interventions.
There is little research regarding the neuropsychiatric aspects in mild cognitive impairment (MCI) in Hispanics. During MCI progression, cognition declines greater than expected for an individual’s age and education level, but without interference in activities of daily living.1 Uncertainty persists regarding the diagnostic criteria for MCI, as well as the boundaries between normal aging and MCI and between MCI and mild Alzheimer’s disease (AD).2 The diagnosis of MCI has traditionally been based on clinical cognitive symptoms and supported by test results.3 There is increasing awareness of the importance of the neuropsychiatric symptoms (NPS) associated with MCI diagnosis, as such symptoms predict a high likelihood of progression to AD.4 The neuropsychiatric pattern of MCI has been previously described among a predominant non-Hispanic white community sample, differentiating MCI from both mild Alzheimer's disease cases, and normal controls (NC).5 This most likely implies that a clinical, and possibly a biological, continuum exists, which merits further exploration and may help identify populations at risk for developing AD.
Data from the Texas Alzheimer's Research and Care Consortium (TARCC) may help confirm the hypothesis that MCI is an intermediate state between normal cognitive functioning and AD. TARCC is a well-characterized Alzheimer's disease cohort in which all subjects receive annual comprehensive psychometric assessments, clinical and neurological examinations, expert consensus diagnosis, and blood-based genetic and protein bio-markers, including a Genome Wide Association Study (GWAS) panel.
Mexican American recruitment in TARCC has been of particular importance and relevance and our cohort of study is predominantly represented by this membership. Among the currently estimated 200,000 Hispanics with AD in the United States, a significant number remain undiagnosed and untreated, and Hispanic participation in AD clinical trials has been historically low.6 Currently, Hispanics represent 16% of the U.S. population.7 Studies show a higher prevalence and incidence of AD among Hispanics compared with non-Hispanic whites.8 On the other hand, the presentation of AD-related NPS at the time of diagnosis may be somewhat different among Hispanics than the white majority population.9 For example, Chen et al.10 examined stage-specific prevalence of NPS and its relationship to severity of AD in a multiethnic community sample and found a relationship between a higher level of education and a lower frequency of anxiety and sleep disturbances. More so, Ortiz et al.11, in a systematic cross-ethnic comparison of NPS between a community sample of Hispanics with AD, an age-matched Hispanic control group, and an AD group of non-Hispanic white patients, found that on the 12-item Neuropsychiatric Inventory (NPI), apathy and anxiety were the most often reported symptoms in the Hispanic AD group, whereas apathy and depression were the most commonly reported symptoms in the non-Hispanic AD groups. Additionally, it appears that AD symptom onset occurs at an earlier age in Hispanics than in non-Hispanic whites.12 However, the literature on this topic is conflicting.13,14 In a more recent cross-sectional study of community-dwelling participants 50 years and older, who were Hispanic and white non-Hispanic residents of Southern California, Hispanics were younger by an average of 4 years at the time of diagnosis, regardless of dementia subtype (probable AD, or probable vascular dementia). The earlier age at diagnosis for Hispanics was not explained by gender, dementia severity, years of education, history of hypercholesterolemia, hypertension, or diabetes. Only ethnicity was significantly associated with age of onset.15
Despite their public health importance, few studies have evaluated NPS in minority elderly people with MCI and AD.16 Thus, the objectives of our study were to characterize the neuropsychiatric profile of MCI and AD using the Neuropsychiatric Inventory Questionnaire (NPI-Q) and to identify differences in neuropsychiatric symptoms by ethnicity in subjects with MCI and AD.
Methods
Study Participants
This cross-sectional study was derived from Visit 1 data from 2,189 TARCC participants (875 normal controls, 339 patients with MCI, and 975 AD cases) that were included in the analyses. Each participant underwent a standardized annual examination that included a medical evaluation, neuropsychological testing, and clinical interview. Diagnosis of AD status was based on National Institute for Neurological Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) criteria,17 MCI status was based on Ronald Petersen criteria,3 and NC diagnosis was based on the Mayo Clinic’s Older Americans Normative Studies.18 A consensus diagnosis is reached by a group conformed by neurologists or geriatricians, neuropsychologists, and geriatric psychiatrists. Institutional Review Board (IRB) approval was obtained at each site and written informed consent was obtained for all participants. The IRB at Texas Tech University Health Sciences Center, Baylor College of Medicine, University of North Texas Health Science Center, the University of Texas Southwestern Medical Center, and the University of Texas Health Science Center at San Antonio approved this research. The TARCC cohort is a convenience sample in which the Hispanic group is mainly composed of Mexican Americans, with less than 1% from other Hispanic subgroups. Ethnicity is determined by self-report. The current sample included English- and Spanish-speaking only participants. Evaluations were conducted either in English or Spanish on the basis of the participant's opinion of which language would yield the best performance. Examiners available were balanced bilinguals for participants that choose Spanish as their preferred language. TARCC’s inclusion/exclusion criteria include: age 50 years and above, information available regarding duration of symptoms of dementia, MMSE score ≥16 (or ≥11 for Hispanic subjects) with WORLD, all information provided by a knowledgeable informant based on judgment of examiner and willing and able to provide a blood specimen at baseline, and resident of Texas (or a surrounding state within the catchment area of the center) and able to return for annual follow-up visits. Exclusion criteria were a modified Hachinski Ischemic score >4; history of major cortical infarction or lacunar infarction(s) in a critical area, diagnosed by imaging or clinical history; persistent neurological deficits; concomitant neurological disease that could contribute to dementia (e.g., Parkinson’s disease, multiple sclerosis, probable dementia with Lewy bodies); active cancer within the past 5 years except for nonmelanoma skin cancer or chronic, nonmetastatic prostate cancer; patients on systemic steroids, chemotherapy, or anti-inflammatories (except NSAIDS); systemic or brain disorder that could impair cognition (e.g., thyroid disorder, normal pressure hydrocephalus); major depressive disorder or other psychiatric disorder that affects cognition (e.g., bipolar disorder, schizophrenia, and related disorders). The only psychiatric disorders allowed were those that had a history of depression, were in remission, and stable on medication. Additionally, patients with anxiety were allowed to enter the study. In other words, premorbid psychiatric illness or treatment would not be excluded, but active illness sufficient to affect cognition was excluded at baseline.
Measures
A clinician interviewed each participant. Behavioral and neuropsychiatric disturbances were measured by the NPI-Q.19 A Spanish validation of an abridged form of the Neuropsychiatric inventory (NPI) exists.20 In our study, we used both the original validation scale of the NPI-Q in English for native American English speakers19 and the Spanish version of the NPI-Q generated by the Spanish Translation and Adaptation Work Group (STAWG) from the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS).21 This scale has been further validated among Mexican American respondents.22 The instrument encompasses neuropsychiatric disturbances that are common in neuropsychiatric disorders, such as dementia of the Alzheimer's type and related disorders. This instrument can be used meaningfully within and across Hispanics and non-Hispanic whites to measure informant-reported dementia symptomatology.23 The instrument used in our study, the NPI-Q as mentioned above, is an abbreviated version of the NPI and was administered by an experienced research assistant to knowledgeable informants (caregivers), who were asked to rate the presence and the severity of each of the 12 symptoms on the scale during the previous month: agitation/aggression, dysphoria/depression, irritability/lability, apathy/indifference, anxiety, disinhibition, aberrant motor behavior, delusions, hallucinations, euphoria/elation, nighttime behavioral disturbances, and appetite/eating disturbances. Informants are asked to respond “yes” (present) or “no” (absent) to each screening question, and to either proceed to the next question if the answer is “no” or to rate the symptoms that are present consistently in the last 4 weeks if the answer is “yes.” For each symptom response as “yes,” a severity score is assigned on a three-point Likert scale (i.e., 1-mild, 2-moderate, 3-severe). The total NPI-Q severity score represents the sum of individual symptom severity scores of the 12 items of the scale and ranges from 0 to 36 (NPI-QTOT). Additionally, individual NPI-Q symptom item scores represent the summation of each symptom checked as “yes” in the NPI-Q and range from 0 to 12 (NPI-QSUB). Informants typically complete the NPI-Q in 5 minutes or less for participants with little to no symptoms and in 10–15 minutes when multiple NPS is reported.
Depression was assessed using the Geriatric Depression Scale 30-item version (GDS-30).24 Global cognition was assessed via the Mini-Mental State Examination (MMSE)25 and disease severity rated according to the Clinical Dementia Rating scale26 sum of boxes scores (CDR-SOB).27 An informant interview was conducted for each research participant to gather information regarding his/her activities of daily living (basic and instrumental). For our analysis we used only the Instrumental Activities of Daily Living (IADL) scale28 scores.
The frequency of each individual NPI-Q symptom items (NPI-QSUB) and the total NPI-Q severity scores (NPI-QTOT) were compared across the three groups (NC, MCI, and AD), while controlling for age, education, MMSE, CDR-SOM, GDS-30, and IADL.
Ethnic Membership
Details on TARCC’s methods are available elsewhere, including the description of how the ethnic identity was established.29 Briefly, we used an initial screening question: Does the subject report being of Hispanic/Latino ethnicity (i.e., having origins from a mainly Spanish-speaking Latin American country), regardless of race? If the subject’s response is “yes,” reported origin choices are given to include 1) Mexican/Chicano/Mexican American, 2) Puerto Rican, 3) Cuban, 4) Dominican, 5) Central American, 6) South American, 7) other (specify), or 8) unknown.
Neuropsychological Assessment
The TARCC's cognitive performance battery included digit span (WAIS-R, WAIS-III, WMS-R), Trail Making test, WMS logical Memory (WMS-R and WMS-III), Boston Naming Test (30- and 60-item versions), verbal fluency (FAS), Clock Drawing Test (CLOX), the American National Adult Reading Test (AMNART), GDS-30, MMSE, and the Clinical Dementia Rating scale (CDR).
Clinical Covariates
Education.
Education was coded continuously as years of formal education.
Ethnicity.
Ethnicity was determined by self-report and coded dichotomously as “Hispanic” and “non-Hispanic.” All TARCC evaluations and psychometrics are provided in English or in Spanish according to the subject's preference.
Gender.
Gender was coded dichotomously.
The Geriatric Depression Rating Scale (GDS): GDS scores range from 0 to 30. Higher scores are worse. A cut-point of 9–10 best discriminates clinically depressed from nondepressed elderly.
Statistical Analysis
Data were described using mean and standard deviation (SD) for quantitative variables while categorical variables were summarized using frequency and proportion. All the quantitative characteristics were compared among three groups (control, MCI, and AD) by one-way analysis of variance followed by post hoc analysis using Bonferroni method. Unpaired t test was used for comparing quantitative variables between Hispanic and non-Hispanic ethnic groups separately for each group (control, MCI, and AD) while Fisher’s exact test was used for comparing gender distribution between Hispanics and non-Hispanics. Ordinary linear regression analysis was used to determine the factors associated with NPI-Q symptoms separately for each group. The considered dependent variables were NPI-QTOT and NPI-QSUB, and independent variables were age, ethnicity, gender, education, MMSE, CDR-SOB, GDS, and IADL for linear regression analysis. Only significant factors were retained in the final regression models. The results of linear regression analysis were reported using regression coefficient (RC) along with 95% confidence interval (CI) and p value. Multiple logistic regression analyses were carried out to determine adjusted associations of symptoms with AD and MCI compared with control and AD compared with control. The results of logistic regression analysis were reported using odds ratio (OR) along with 95% CI and p value. Bar diagram and Box Whisker plots were used to depict important findings in the study. All the analyses were carried out using SAS version 9.3 (SAS Institute, Cary, NC). All p values less than 5% were regarded as significant results.
Results
Table 1 shows the variables of interest, post hoc tests, and main effect. In the unadjusted analysis, individual NPI-Q symptom items scores and total NPI-Q severity scores differed significantly across the three groups. Adjusted associations of NPS with groups are shown in Table 2. MMSE and IADL were found to be consistently associated with MCI compared with control, AD compared with control, and AD compared with MCI as well. Education and NPI-QTOT were associated with AD but not with MCI compared with controls. Increase in the CDR-SOB was associated with increased odds of AD compared with MCI. NPI-QSUB and gender were associated with MCI but not with AD compared with controls.
| Variable | N | Controls (N=875) | MCI (N=339) | AD (N=975) | p |
|---|---|---|---|---|---|
| Mean (SD) | Mean (SD) | Mean (SD) | |||
| Age (years) | 2,189 | 68.28 (9.04) | 73 (8.77)b,d | 76 (8.28)c,d | <0.0001 |
| Gender (% female) | 2,189 | 570 (65.14%) | 189 (55.75%) | 553 (56.72%) | 0.0002 |
| Education | 2,189 | 13.54 (4.23) | 13.24 (3.67)b | 14.1 (3.57)c,d | 0.0003 |
| Ethnicity (% Hispanic) | 2,188 | 377 (43.1%) | 135 (39.82%) | 99 (10.16%) | <0.0001 |
| MMSE | 2,188 | 28.84 (1.73) | 27.21 (2.36)b,d | 21.1 (5.11)c,d | <0.0001 |
| CDR-SOB | 2,183 | 0.01 (0.07) | 1.13 (0.83)b,d | 6.0 (3.47)c,d | <0.0001 |
| GDS | 1,889 | 3.91 (4.0) | 6.94 (5.95)b,d | 5.7 (4.84)c,d | <0.0001 |
| IADL | 1,674 | 7.83 (1.01) | 8.35 (2.18)d | 14.97 (6.08)c,d | <0.0001 |
| NPI-QSUB | 1,674 | 0.46 (1.07) | 1.69 (2.087)b,d | 3.71 (2.6)c,d | <0.0001 |
| NPI-QTOT | 885 | 2.35 (2.1) | 4.15 (3.96)b,d | 6.32 (4.92)c,d | <0.0001 |
a
AD: Alzheimer's disease; CDR-SOB: Clinical Dementia Rating Scale-Sum of boxes; GDS: Geriatric Depression Scale; IADL: Instrumental Activities of Daily Living; MCI: mild cognitive impairment; MMSE: Mini-Mental State Examination; N: unequal Ns per variable; NPIQSUB: Neuropsychiatric Inventory-Questionnaire Sum of domain boxes (0–12); NPI-QTOT: Neuropsychiatric Inventory-Questionnaire sum of total severity scores (0–36); SD: standard deviation.
b
p<0.05 versus AD by Bonferroni.
c
p<0.05 versus MCI by Bonferroni.
d
p<0.05 versus Controls by Bonferroni.
| Variables | MCI Versus Control (Reference) | AD Versus Control (Reference) | AD Versus MCI (Reference) |
|---|---|---|---|
| OR (95% CI), p value | OR (95% CI), p value | OR (95% CI), p value | |
| MMSE | 0.71 (0.66,0.77), <0.0001 | 0.38 (0.30,0.49), <0.0001 | 0.75 (0.66,0.84), <0.0001 |
| IADL | 1.12 (1.00,1.26), 0.0504 | 1.74 (1.39,2.18), <0.0001 | 1.10 (1.00,1.22), 0.0635 |
| Age (years) | 1.06 (1.04,1.08), <0.0001 | 1.07 (1.01,1.13), 0.0139 | |
| GDS | 1.11 (1.08,1.15), <0.0001 | 1.09 (0.99,1.20), 0.0672 | |
| Hispanic | 0.46 (0.32,0.65), <0.0001 | 0.08 (0.02,0.26), <0.0001 | |
| Male | 1.61 (1.16,2.23), 0.0044 | ||
| NPI-QSUB | 1.47 (1.32,1.64), <0.0001 | ||
| Education | 1.33 (1.16,1.52), <0.0001 | 1.12 (1.03,1.21), 0.0072 | |
| NPI-QTOT | 1.36 (1.15,1.60), 0.0003 | ||
| CDR-SOB | 3.44 (2.62,4.53), <0.0001 |
a
CDR-SOB: Clinical Dementia Rating Scale-Sum of boxes; CI: Confidence interval; GDS: Geriatric Depression Scale; IADL: Instrumental Activities of Daily Living; MMSE: Mini-Mental State Examination; NPIQSUB: Neuropsychiatric Inventory-Questionnaire-Sum of domain boxes (0–12); NPI-QTOT: Neuropsychiatric Inventory-Questionnaire-Sum of total severity scores (0–36); OR: Odds Ratio.
Table 3 presents unadjusted association of considered factors with NPI symptoms by ethnicity and separately for each group. Both individual NPI-Q symptoms scores (p=0.0007) and total NPI-Q severity scores (p=0.002) differed significantly between Hispanic and non-Hispanic subjects among AD cases only but not among those with MCI. In controls, individual NPI-Q symptom scores were different between Hispanics and non-Hispanic subjects (p=0.0058). In addition, MMSE, GDS, and IADL were also found to be different between Hispanics and non-Hispanics. These differences in GDS symptoms, MMSE scores, along with CDR-SOB, persisted between Hispanics and non-Hispanics in the MCI group. In AD group, along with NPI symptoms, only GDS and MMSE were found to be different between Hispanics and non-Hispanics (Table 3). Average number of endorsed NPI-Q behaviors by diagnosis and ethnicity are displayed in Figure 1. Figure 2 presents the proportion scores of individual NPS differences in the AD group stratified by ethnicity.
| Group and Variable | Non-Hispanic | Hispanic | p |
|---|---|---|---|
| Mean (SD) | Mean (SD) | ||
| Control | |||
| Age (years) | 70.94 (8.95) | 64.76 (7.89) | <0.0001 |
| Gender (% female) | 325 (65.26%) | 245 (65%) | 0.943 |
| Education | 15.42 (2.56) | 11.05 (4.7) | <0.0001 |
| MMSE | 29.32 (0.9) | 28.22 (2.28) | <0.0001 |
| CDR-SOB | 0.01 (0.08) | 0.005 (0.05) | 0.1196 |
| GDS | 3.33 (3.37) | 4.61 (4.55) | <0.0001 |
| IADL | 7.74 (0.9) | 15.94 (6.51) | 0.0146 |
| NPI-QSUB | 0.36 (0.8) | 0.57 (1.23) | 0.0058 |
| NPI-QTOT | 2.36 (2.21) | 2.34 (2.02) | 0.9608 |
| MCI | |||
| Age (years) | 73.74 (8.72) | 71.87 (8.76) | 0.0551 |
| Gender (% female) | 109 (53.43%) | 80 (59.26%) | 0.3157 |
| Education | 14.6 (2.46) | 11.18 (4.21) | <0.0001 |
| MMSE | 27.5 (2.3) | 26.78 (2.4) | 0.0064 |
| CDR-SOB | 1.25 (0.93) | 8.66 (6.81) | 0.0019 |
| GDS | 5.8 (5) | 8.66 (6.81) | <0.0001 |
| IADL | 8.34 (5.19) | 8.37 (2.18) | 0.9005 |
| NPI-QSUB | 1.7 (1.9) | 1.68 (2.24) | 0.9212 |
| NPI-QTOT | 3.92 (3.15) | 4.53 (5.01) | 0.3021 |
| AD | |||
| Age (years) | 76.01 (8.34) | 75.84 (7.64) | 0.8467 |
| Gender (% female) | 490 (56%) | 62 (62.63%) | 0.2393 |
| Education | 14.6 (2.98) | 9.6 (4.96) | <0.0001 |
| MMSE | 21.21 (5.1) | 19.34 (5.07) | 0.0004 |
| CDR-SOB | 6.05 (3.48) | 5.61 (3.35) | 0.2326 |
| GDS | 5.3 (4.6) | 8.5 (5.61) | <0.0001 |
| IADL | 14.8 (6) | 7.92 (1.03) | 0.1045 |
| NPI-QSUB | 3.54 (2.44) | 4.56 (3.17) | 0.0007 |
| NPI-QTOT | 6.03 (4.62) | 7.87 (6.1) | 0.0020 |
a
AD: Alzheimer's disease; CDR-SOB: Clinical Dementia Rating Scale-Sum of boxes; GDS: Geriatric Depression Scale; IADL: Instrumental Activities of Daily Living; MCI: mild cognitive impairment; MMSE: Mini-Mental State Examination; N: unequal Ns per variable; NPIQSUB: Neuropsychiatric Inventory-Questionnaire-Sum of domain boxes (0–12); NPI-QTOT: Neuropsychiatric Inventory-Questionnaire-sum of total severity scores (0–36); SD: standard deviation.
FIGURE 1. Average Number of Endorsed NPI Behaviors by Diagnosis and Ethnicity (N=2,189)a
a AD: Alzheimer's disease; MCI: mild cognitive impairment; NPI: Neuropsychiatric Inventory Questionnaire (NPI-Q, abbreviated version).
FIGURE 2. Comparison of the Hispanic and Non-Hispanic White Alzheimer’s Disease Groups’ Proportion Scores in the 12 Behavioral Domains of the NPI-Q (N=975)a
a Aberrant motor: aberrant motor behavior; Agitation: agitation/aggression; Apathy: apathy/indifference; Appetite: appetite/eating disturbances; Depression: dysphoria/depression; Elation: euphoria/elation; Irritability: irritability/lability; NPI: Neuropsychiatric Inventory Questionnaire (NPI-Q); Nighttime behavior: nighttime behavioral disturbances.
In multivariable analysis (Table 4), Hispanic ethnicity was associated with both total NPI symptom severity scores and individual NPI-Q symptom items scores in the AD group after adjusting for age, CDR-SOB, GDS, IADL, MMSE, and gender but not with the MCI group. NPI individual symptoms (NPI-QSUB) also showed an association with Hispanic ethnicity in the control group that fell short of statistical significance. In MCI group, only CDR-SOB and GDS were significantly associated with NPI symptoms.
| Item | NPI-QTOT | NPI-QSUB | ||||
|---|---|---|---|---|---|---|
| Regression Coefficient | 95% CI | p | Regression Coefficient | 95% CI | p | |
| AD | ||||||
| Hispanic | 1.60 | 0.47 to 2.74 | 0.0058 | 0.66 | 0.10 to 1.21 | 0.02 |
| Age (years) | –0.09 | –0.15 to –0.04 | 0.0004 | –0.03 | –0.05 to 0.00 | 0.0236 |
| CDR-SOB | 0.34 | 0.13 to 0.55 | 0.0013 | 0.14 | 0.04 to 0.23 | 0.0055 |
| GDS | 0.19 | 0.11 to 0.27 | <0.0001 | 0.11 | 0.07 to 0.15 | <0.0001 |
| IADL | 0.23 | 0.14 to 0.32 | <0.0001 | 0.12 | 0.07 to 0.16 | <0.0001 |
| MMSE | 0.16 | 0.04 to 0.28 | 0.0079 | |||
| Male | 0.43 | 0.03 to 0.84 | 0.0355 | |||
| MCI | ||||||
| CDR-SOB | 0.51 | –0.08 to 1.09 | 0.0892 | 0.77 | 0.53 to 1.02 | <0.0001 |
| GDS | 0.17 | 0.08 to 0.25 | 0.0002 | 0.10 | 0.07 to 0.13 | <0.0001 |
| Control | ||||||
| Hispanic | 0.13 | –0.02 to 0.28 | 0.0943 | |||
| CDR-SOB | 6.01 | 1.30 to 10.71 | 0.0126 | 1.20 | –0.25 to 2.65 | 0.1041 |
| GDS | 0.09 | 0.02 to 0.15 | 0.0064 | 0.07 | 0.05 to 0.09 | <0.0001 |
| Male | 0.67 | 0.05 to 1.28 | 0.0343 | 0.23 | 0.07 to 0.39 | 0.0038 |
a
AD: Alzheimer’s disease; CDR-SOB: Clinical Dementia Rating Scale-Sum of boxes; CI: confidence interval; GDS: Geriatric Depression Scale; IADL: Instrumental Activities of Daily Living; MCI: mild cognitive impairment; MMSE: Mini-Mental State Examination; NPI-QSUB: Neuropsychiatric Inventory-Questionnaire-Sum of domain boxes (0–12); NPI-QTOT: Neuropsychiatric Inventory-Questionnaire-Sum of total severity scores (0–36).
Key Findings
First, we found an ordinal increase in the average number of endorsed NPI behaviors by diagnostic group. These differences on NPI remained after controlling for age, education, MMSE, CDR-SB, GDS, and IADL. These findings further support the initial hypothesis by Lyketsos et al. that if indeed MCI is a precursor to AD, then the frequency of neuropsychiatric symptoms should intermediate between normal and that of dementia.30 Also, earlier literature on this research question further supports our findings.5 Second and most interestingly, differences in NPS severity by ethnicity in subjects with AD, but not MCI, were observed (Figure 1). Additionally, being of Hispanic ethnicity was a significant factor associated with NPS in the control group and AD group, but interestingly not in the MCI group; more so, in the control group, individual NPI-Q symptom item scores (NPI-QSUB), but not total NPI-Q severity scores (NPI-QTOT), showed an association with Hispanic ethnicity that nearly reached statistical significance. Finally, GDS scores were strongly associated with NPS among the three groups.
In AD cases, psychotic symptoms like hallucinations, nighttime behavioral disturbances, and elation were predominant in Hispanics, while apathy was more common in non-Hispanic whites (Figure 2). This difference indicates that the presentation of dementia, and therefore possibly its etiology, may differ between these two populations (Hispanic and non-Hispanic).
Discussion
This study presents findings from a descriptive and comparative analysis of NPS found in elderly Hispanic and non-Hispanic white NC, MCI, and AD subjects. Differences in NPS severity by ethnicity in subjects with AD but not MCI were found. All patients were evaluated using rigorous diagnostic criteria and were well matched in terms of age, gender, and dementia severity.
Although this study suggests that there are ethnic differences in AD’s psychopathology presentation, it has several limitations. We must rely on subject self-report for the ascertainment of ethnicity, albeit confirmed by informants. While TARCC is collecting genetic data, those are not yet available. It may one day be possible to confirm our findings by genetic admixture. Regardless, previous studies suggest a strong overlap between self-reported Mexican American ethnicity and genetic admixture.31
Within this limitation, we found significant cross-ethnic differences in the psychopathological symptom burden of AD, but not in MCI. Our study presents both new findings and results consistent with earlier studies. New findings include that despite high proportions of NPS in subjects with MCI in elderly Hispanic and non-Hispanic groups, differences in NPS severity by ethnicity was not statistically significant in the MCI group. We also confirmed the existence of MCI as a transitional stage between normal cognition and AD based on the distribution of the mean number of endorsed NPI behaviors by diagnosis and ethnicity. It is also noteworthy that after adjusted association of considered factors with NPS by groups, individual NPI-Q symptoms also showed an association with Hispanic ethnicity in the control group that fell short of statistical significance, suggesting early presence of NPS in Hispanics.
During the initial diagnostic evaluation, measures of acculturation, culturally validated and normed neuropsychological tests, and a validated inventory for the classification of NPS, the NPI-Q, were used. The study employed only bilingual and bicultural clinicians and raters for assessment of Hispanic subjects to enhance the validity and accuracy of the data collected. With this in mind, among the 12 NPS items of the NPI-Q, nighttime behavioral disturbance, agitation/aggression, depression, anxiety, and irritability (mood and motor cluster) were the most often reported symptoms in the Hispanic AD group, whereas apathy, agitation, depression, anxiety, and irritability were the most commonly reported symptoms in the non-Hispanic AD group. More so, hallucinations and elation were disproportionately higher symptoms among Hispanics.
Our hypothesis is further supported by a recent study32 in Mexican Americans, in which one TARCC site was included in the analyses. The purpose of that study was to characterize Mexican Americans who met criteria for AD and MCI. O’Bryant et al. found significant differences in presentation between Mexican Americans and non-Hispanic whites, regarding age at onset of dementia (earlier), years of education (less educated), cognitive performance on MMSE (lower scores), and possession of the ApoE ε4 allele (predictor of a more rapid progression of MCI to AD), which was less frequently expressed in this study among Mexican Americans than in non-Hispanic whites, respectively. Mexican Americans endorsed more symptoms of depression as measured by the GDS-30.
These differences, including the neuropsychiatric profile of AD between Hispanics and non-Hispanic whites, observed in our study have multiple implications for future research. NPSs are frequently associated with caregiver burden.33 These symptoms persist and are resistant to treatment. In comparison to the non-Hispanic white population, the frequencies of NPS were higher in Hispanics with AD. Research is only beginning to sort out the complicated picture of dementia and particularly AD among Hispanics. Elderly Hispanics are vulnerable to dementia, but “dementia” is a complex syndrome with heterogeneous genetic and environmental factors. That association is further complicated by the ethnic/racial diversity of Hispanics in the United States.
The limited research to date suggests that within-group differences may affect the incidence and presentation of AD.8,9,34 Evidence supporting this hypothesis comes from a recent population-based study (i.e., not selected for dementia) of 925 community-dwelling Mexican American participants of the Hispanic Established Population for the Epidemiological Study of the Elderly (HEPESE).35 In this study, a high prevalence (62.7%) of NPS was found by using the NPI36 as a measure of psychopathology among Mexican Americans. Most importantly, the authors also compared their study to other population-based studies in other countries (Brazil and Spain), and one in the U.S. Surprisingly, they showed a similar distribution of NPI symptoms across groups, with the exception of selected symptoms (irritability, apathy, and weight changes) that can be seen with higher rates in cases of advanced stages of dementia.35
Here, we report that NPS occurs frequently in MCI and Alzheimer’s dementia. Similar study findings have been reported in the literature by Ortiz et al.11 They found that NPS is common in AD, regardless of ethnicity, but that Hispanic AD cases presented to the initial assessment with more NPS than non-Hispanic whites.
These findings could have significance for the understanding and treatment of dementia in the Hispanic population. Hispanic elders represent one of the fastest growing minority populations and are projected to account for 16% of the older U.S. population by the year 2050. Most older Hispanics are estimated to be of Mexican origin.37 Additionally, neuropsychiatric disturbances are common manifestations of dementing disorders like AD. Such symptoms, particularly when there is a psychotic driver for abnormal behavior, are linked to higher rates of institutionalization and more rapid cognitive decline.38
Whether Hispanics are at exceptional risk for dementia and NPS cannot be determined from these data. Here, we do confirm a higher frequency of NPS in Hispanics with AD as seen in other studies including the one by Sink et al.39 The high frequency of NPS in both MCI and AD groups as seen in our study has been reported in other studies to be associated with caregiver burden and to pose unique challenges for caregivers.40
Limitations of our study include its cross-sectional design and lack of well standardized norms for neuropsychological instruments in Hispanics that may transpire into the possibility of cognitive test bias. That is, if the neuropsychological tests utilized within the study were biased against Mexican Americans, this bias could have influenced the diagnostic process, which in turn could affect the makeup of the MCI groups by ethnic groupings. TARCC has been part of the generation of the Texas Mexican American Normative Studies (TMANS), which is designed to specifically provide normative data for Mexican American adults and elders.
In addition, specific psychosocial determinants need to be taken into consideration when interpreting the demographic distribution of the data presented among groups. Hinton et al. have reported how cultural and other psychosocial factors are important in shaping the clinical presentation of Hispanics and how the use of informants or caregivers in assessing NPS in demented Hispanics can be problematic,16 for example, the unwillingness of Hispanic caregivers to seek professional help despite high levels of distress in their dementia caregiving situation. Although the ethnicity composition was balanced in the control (43.1% versus 56.9%) and MCI (39.82% versus 60.18%) groups, the ethnic composition in the AD group, specifically the number of nonwhite Hispanics, is extremely underrepresented, 99 versus 876 subjects, respectively (i.e., 10.16% versus 89.84%). Nevertheless, elevated NPI-Q scores were higher in the Hispanic group.
Possible explanations for this include among Hispanics: increased health care barriers, low utilization of healthcare services unless it is urgent, the stigma associated with a dementia diagnosis, and the Hispanic caregivers’ perceptions about values and beliefs about medicine and treatment. Finally, language proficiency and economic status remain common barriers among elderly Hispanic subgroups.41
Strengths of TARCC’s cohort include the large number of participants, including a relatively large sample of Hispanics, longitudinal assessments, and the potential for future biomarker associations. Being a retrospective secondary analysis of established data gives further credence to the results and test hypothesis.
Conclusions
Despite the limitations of our study, the findings of this research offer important insights into the understandings of the similarities and differences of the neuropsychiatric symptom profile of MCI and AD in the Hispanic population where more research is warranted. There may be cross-ethnic differences in the clinical presentation of AD in Hispanics versus non-Hispanic whites. Future studies are needed to clarify the etiology of these differences, and to assess the need for ethnicity-specific treatment and care-giving interventions. Population-based longitudinal studies may help determine the impact of these differences on incident and progression of MCI to AD among Hispanic populations.
Acknowledgments
The authors thank all of the participants of TARCC, along with their support staff that make this study possible.
Footnote
Texas Alzheimer’s Research and Care Consortium List of Investigators: Investigators from the Texas Alzheimer’s Research and Care Consortium: Baylor College of Medicine: Rachelle Doody, M.D., Ph.D., Valory Pavlik, Ph.D., Paul Massman, Ph.D., Eveleen Darby, M.A./M.S., Monica Rodriguear, M.A., Aisha Khaleeq, M.D.; Texas Tech University Health Sciences Center: John C. DeToledo, M.D., Henrick Wilms, M.D., Ph.D., Kim Johnson, Ph.D., Victoria Perez, Michelle Hernandez; University of North Texas Health Science Center: Thomas Fairchild, Ph.D., Janice Knebl, D.O., Sid E. O’Bryant, Ph.D., James R. Hall, Ph.D., Leigh Johnson, Ph.D., Robert C. Barber, Ph.D., Douglas Mains, Dr.PH., Lisa Alvarez, Adriana Gamboa; University of Texas Southwestern Medical Center: Perrie Adams, Ph.D., Munro Cullum, Ph.D., Roger Rosenberg, M.D., Benjamin Williams, M.D., Ph.D., Mary Quiceno, M.D., Joan Reisch, Ph.D., Linda S. Hynan, Ph.D., Ryan Huebinger, Ph.D., Janet Smith, B.S., Barb Davis, M.A., Trung Nguyen, M.D., Ph.D.; University of Texas Health Science Center-San Antonio: Donald Royall, M.D., Raymond Palmer, Ph.D., Marsha Polk; Texas A&M University Health Science Center: Farida Sohrabji, Ph.D., Steve Balsis, Ph.D., Rajesh Miranda, Ph.D.; University of North Carolina: Kirk C. Wilhelmsen, M.D., Ph.D., Jeffrey L. Tilson, Ph.D., Scott Chasse, Ph.D.
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Information & Authors
Information
Published In
History
Received: 22 December 2015
Revision received: 28 April 2016
Accepted: 2 May 2016
Published online: 15 July 2016
Published in print: Winter 2017
Authors
Funding Information
This study was made possible by the Texas Alzheimer’s Research and Care Consortium (TARCC) funded by the state of Texas through the Texas Council on Alzheimer’s Disease and Related Disorders.The authors report no financial relationships with commercial interests.
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