PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Clin Exp Neuropsychol. Author manuscript; available in PMC Apr 4, 2013.
Published in final edited form as:
PMCID: PMC3616485
NIHMSID: NIHMS449999

Medication and finance management among HIV-infected adults: The impact of age and cognition

Abstract

This study examined the effects of aging and cognitive impairment on medication and finance management in an HIV sample. We observed main effects of age (older < younger) and neuropsychological impairment on functional task performance. Interactions between age and cognition demonstrated that older impaired individuals performed significantly more poorly than all other comparison groups. There were no relationships between laboratory performance and self-reported medication and finance management. The interaction of advancing age and cognitive impairment may confer significant functional limitations for HIV individuals that may be better detected by performance-based measures of functional abilities rather than patient self-report.

Keywords: Neuropsychology, HIV, Aging, Functional abilities, Medication management, Finance management

INTRODUCTION

Advances in pharmacotherapy have led to substantial health-related improvements for individuals living with HIV, resulting in a lifespan that may extend well into older adulthood.

The number of HIV-infected individuals 65 years of age and older has increased, from ~1,000 to >10,000 in the past decade, and it is predicted that approximately 50% of new AIDS cases will fall into this older age group within the next 10 years (Center for Disease Control, 2007; Valcour & Paul, 2006).

While it is now well established that age confers its own risks for cognitive decline, recent literature has documented an increased prevalence and severity of cognitive abnormality (corrected for normal aging) among older HIV-infected adults when compared to both younger HIV-seropositive (HIV+) and HIV-seronegative (HIV−) healthy elderly controls (Becker, Lopez, Dew, & Aizenstein, 2004; Cherner et al., 2004; Hardy et al., 1999; Hinkin, Castellon, Atkinson, & Goodkin, 2001; Sacktor et al., 2007; Stoff, Khalsa, Monjan, & Portegies, 2004; Valcour, Shikuma, Watters, & Sacktor, 2004; van Gorp et al., 1994). Such declines range from mild deficits to frank dementia and may include notable declines in daily functional independence (for reviews see Grant, Heaton, & Atkinson, 1995; Heaton et al., 1995; Hinkin, van Gorp, & Satz, 1995).

An important, yet understudied qualitative marker of cognitive decline is an inability to independently and competently carry out daily functions. These functional abilities are most commonly evaluated through assessments of basic activities of daily living (BADLs), consisting of elementary self-care functions (e.g., bathing and dressing), and instrumental activities of daily living (IADLs), which require more complex, higher order skills such as managing finances, driving, and managing medications. Among individuals with HIV, neuropsychological impairment has been linked to functional declines in IADLs, including medication and finance management, cooking, and driving (Albert et al., 1999; Heaton et al., 2004a; Hinkin et al., 2002; Marcotte et al., 1999; Woods et al., 2008).

Methods used to assess functional status include self-report, caregiver ratings, and laboratory-based performance tasks of functional capacity (Antinori et al., 2007; Heaton et al., 2004a). Although those who candidly admit to poor adherence to their prescribed medication regimens may be accurately reporting their behavior, several studies have demonstrated that patients who self-report perfect or near-perfect adherence may be overestimating by 10–20% (Arnsten et al., 2001; Levine et al., 2006). The lack of association between objective findings and subjective ratings has been addressed in previous investigations and has been explained by psychiatric factors (Hinkin et al., 1996; Moore, van Gorp, Hinkin, Stern, & Swales, 1997; Rourke, Halman, & Bassel, 1999), impaired cognition (Reinhard et al., 2007), and poor insight (Gazelle et al., 2007). Given the limited validity of self-report of functional decline, it is now becoming increasingly common to incorporate performance-based tasks to assess functional abilities in HIV, since they have been shown to be more reliable and objective measures of “real-world” performance (Heaton et al., 2004a). Unlike survey methods, performance measures avoid effects of response biases or impaired recall (Chesney, Morin, & Sherr, 2000).

One such study (Albert et al., 1999) utilizing a performance-based method of medication management in an HIV+ sample found that cognitively impaired adults performed more poorly than cognitively unimpaired adults, and in this particular instance performance was associated with self-reported adherence.

Similarly, Hinkin and colleagues (2002) found that cognitively compromised participants were twice as likely to fail to adequately adhere to their medication regimen (assessed by electronic confirmation of medication container use) than cognitively normal participants, and that neuropsychological deficits in executive functioning, attention, and verbal memory were significantly associated with poor adherence. These authors also found that cognitive compromise interacted with regimen complexity to increase the likelihood of suboptimal adherence. Consequently, cognitively impaired participants who were on complex dosing regimens were much more likely to be poor adherers.

The ability to competently handle finances also requires complex mental processes, such as keeping track of how much money is spent each month to ensure that one does not spend beyond one’s means. The first comprehensive study to examine functional competency including financial management among HIV+ individuals was performed by the UCSD (University of California, San Diego) HIV Neurobehavioral Research Center, in which Heaton and colleagues (2004a) developed and validated a performance-based measure to assess finance management (entitled “Advanced Finances”). The Advanced Finances task requires individuals to pay fictitious bills and manage a fictitious checkbook. In the first study to utilize this newly developed measure, high failure rates were associated with greater neuropsychological impairment, particularly in executive functioning (Heaton et al., 2004a). Apart from this study, no research to our knowledge has examined the impact of neurocognitive dysfunction on financial management in HIV+ adults, or how financial management may be impacted by aging and HIV.

Although several available studies have linked neuropsychological (NP) deficits to impaired functional abilities in relatively young cohorts (Albert et al., 1995; Benedict, Mezhir, Walsh, & Hewitt, 2000; Heaton et al., 1996; Heaton et al., 2001; Mapou et al., 1993; Marcotte et al., 1999; Stern et al., 1991), this work has yet to be extended to older HIV+ individuals. It is important to tailor investigations to the essential functional tasks (e.g., managing medications) required of this population. There were four primary hypotheses to the current study. First, we expected older HIV+ adults to perform more poorly on tasks of medication and finance management than younger HIV+ adults. Second, we expected that cognitively impaired HIV+ adults would perform more poorly on medication and finance management than cognitively unimpaired HIV+ adults. We also expected to find an interaction of age and cognition upon functional outcomes; specifically, older individuals with HIV-associated neurocognitive disorders (Antinori et al., 2007) would demonstrate greater impairment on the Medication Management Task–Revised (MMT–R) and Advanced Finances than would the other groups. Finally, we expected that performance on medication management and finances management would be weakly associated with self-reported difficulties with medication adherence and financial management.

METHOD

Participants

Participants included 51 HIV+ adults who were recruited from community agencies and medical centers within the Los Angeles area. Participants were excluded if they presented with a history of a severe psychiatric episode (mania, psychosis) within the past year or alcohol/illicit substance dependence within the last month according to data collected using the Structured Clinical Interview for DSM–IV, Axis I Disorders (SCID; First, Spitzer, Gibbon, & Williams, 1995). Participants were also excluded if they presented with medical comorbidities unrelated to HIV that may increase risk for cognitive impairment (e.g., brain anoxia, kidney dysfunction, seizures, or hepatitis C virus). Individuals with histories of known central nervous system (CNS) insults (e.g., stroke, brain tumor, or CNS-opportunistic infections) also were excluded.

The mean age for the total sample was 48.2 (SD 13.8) years, and the mean education level was 13.5 (SD 2.5) years; 76.9% were male; 42.3% were African American, and 32.7% were Caucasian. The mean nadir (lowest recorded) CD4 cell count was 195.1 (196.7) cells/mm3, and mean recent CD4 count was 492.3 (SD 278.1). All participants reported being prescribed combination antiretroviral therapy (cART), and 62% of the sample had an undetectable plasma viral load at the time of assessment. A total of 89% of participants reported managing their medications independently. See Table 1 for demographic descriptive statistics stratified by age (younger/older) and cognitive (impaired/unimpaired) groups.

TABLE 1
Participant characteristics according to group membership

Procedure

Neurocognitive assessment

All participants completed a comprehensive neuropsychological test battery administered by trained psychometrists who were supervised by a board-certified neuropsychologist (C.H.H.). See Table 2 for list of neuropsychological measures by domain.

TABLE 2
Neuropsychological battery

In an effort to maximize age differences between groups, individuals were dichotomized by age (younger < 40 years, n = 23; older ≥ 55 years; n = 28). Test scores were converted to demographically corrected T scores (mean = 50, SD = 10) using published normative data (see Table 2) and were grouped by neurocognitive domain. Deficit scores were then calculated using an algorithm developed by Heaton and colleagues (Heaton, Miller, Taylor, & Grant, 2004b) that assigns an impairment rating to T scores as follows: T > 39 = 0; 39 ≥ T ≥ 35 = 1; 34 ≥ T ≥ 30 = 2; 29 ≥ T ≥ 25 = 3; 24 ≥ T ≥ 20 = 4; T < 20 = 5. Deficit scores from all neuropsychological tests were averaged into one score to reflect global impairment (Global Deficit Score, GDS); this reflects the number and severity of deficits across the entire battery. Individuals were then classified as either cognitively unimpaired (n = 30) or cognitively impaired (n = 21) based upon a deficit score cutoff of 0.5. The global deficit score approach has been demonstrated to have good predictive validity for detecting cognitive impairments in HIV-infected individuals (Carey et al., 2004).

Functional assessment

Self report

Self-reported medication adherence was defined by the percentage of antiretroviral medication doses taken over the last 30 days. This formula was calculated by subtracting the number of reported missed doses within the last 30 days from the total number of doses prescribed, dividing this number by the total number of doses prescribed, and multiplying by 100.

Self-reported financial management entailed participants’ responses to whether they independently managed their finances and was rated according to scoring criteria from a modified version of the Lawton and Brody Activities of Daily Living Scale (Heaton et al., 2004; Lawton & Brody, 1969).

Laboratory assessment

Medication Management Task–Revised

Participants were administered the Columbia Medication Management Task–Revised (MMT–R; Heaton et al., 2004), which required them to respond to questions about five different medications based upon labels, the number of pills in each bottle, and directions on package inserts. Questions required participants to determine information such as when a refill was needed, which medications need to be taken with food, how many pills are required to take the correct dosage, and how to correctly place pills in a pill box based on the instructions on the labels. In addition, the revised version of this task added questions asked about the participant’s own medication management, such as whether or not the participant receives assistance with remembering to take medications, or if they have recently run out of medications without a prior refill. Total points earned (out of a maximum of 18) was the outcome variable for the MMT–R task. The range of scores for the sample was 4–17 with a median score of 12.

Advanced Finances

The Advanced Finances task (Heaton et al., 2004) provides participants with blank checks, a checkbook register, a check to deposit, deposit slips, three bills to pay (phone, gas, credit card), a calculator, and paper and a pencil. Participants are asked to pay each bill, log transactions in their checkbook register, and pay as much of their credit card bill as possible while leaving exactly $100 in their checking account. Scores on the task were determined based on the participant’s ability to correctly complete checks and calculate totals in the checkbook register, while remembering to leave $100 in their account for necessities during the rest of the month. Participants who had never had a checking account or balanced a checkbook were excluded from this task (n = 14). The total score (out of a maximum of 13) earned on the Advanced Finances task was used to reflect overall task performance. The range of scores for the sample was 2–13 with a median score of 9.

Modified Lawton and Brody Instrumental Activities of Daily Living Scale (IADL)

The Lawton and Brody IADL scale (Lawton & Brody, 1969) was developed to assess the more complex (i.e., instrumental) ADLs necessary for living independently in the community. Reported independence in tasks such as shopping, cooking, and managing finances were assessed. Participants’ self-reported financial independence was rated on a modified scale: 0 = independent, 1 = needs some assistance, 2 = dependent, or 8 = independent, but someone else manages it for the participant. Although past history of management at one’s best level of functioning was also rated, these ratings were not utilized for the purposes of this paper. Current ratings of financial independence were dichotomized into 0 = fully independent versus 1 = not fully independent.

Statistical analyses

Inspections of the distributions for Medication Management Task and Advanced Finances revealed negatively skewed distributions. Log 10 transformations were applied to both distributions, and primary analyses were performed on transformed data. Preliminary analyses using analysis of variance (ANOVA) revealed significant age group differences in Beck Depression Inventory–Second Edition (BDI–II) scores (F = 4.04; MSE = 96.85, p = .05) and education (F = 8.99; MSE = 5.44, p = .004). Specifically, older adults reported less depression than younger adults, and older adults reported higher education levels than younger adults (See Table 1). There were no significant (p > .05) differences between age (young vs. old) or cognitive status (impaired vs. unimpaired) groups with respect to gender, ethnicity, CD4 count, or viral load. Chisquare tests indicated no differences in the proportion of prior history of substance abuse/dependence, or prior history of psychiatric illness for the two age groups or the two cognitive impairment groups. There were no differences between participants with detectable versus undetectable plasma viral load on global NP scores, performance on MMT–R and Advanced Finances, or self-reported medication adherence and finance management. Furthermore, there were no significant relationships between CD4 count, MMT–R, and Advance Finance performance.

Analyses for the present study were conducted utilizing SPSS Version 15.0. Two-way analysis of covariance (ANCOVA) with age (younger/older) and cognitive status (impaired/unimpaired) as independent variables was conducted for both of the functional measures while controlling for depression (i.e., BDI–II score) and years of education. Pearson’s bivariate correlations were conducted to examine relationships between neurocognitive domains (using NP domain mean T scores) and performance on MMT–R and Advanced Finances. A Pearson correlation was also used to examine MMT–R performance and self-reported medication adherence. Independent samples t tests were used to examine differences between subgroups with presence or absence of self-reported finance independence on NP functioning and performance on Advanced Finances. The correlational analyses between neurocognitive domains, MMT–R, and Advanced Finances were first performed for the entire sample and then separately by age group.

RESULTS

Age, cognitive status, and medication and finance management

As can be seen in Table 3, two-way ANCOVA results revealed that older HIV+ adults performed significantly more poorly than younger HIV+ adults on MMT–R (F = 7.68; MSE = 0.013, p = .08, η2p = .41) and Advanced Finances (F = 4.57; MSE = 0.056, p = .04, η2p = .15). Cognitively impaired HIV+ adults also performed more poorly than unimpaired HIV+ adults on MMT–R (F = 19.74; MSE = 0.013, p < .001, η2p = .30). There were no significant cognitive impairment group differences for Advanced Finances. However, higher scores on Advanced Finances were positively correlated with spatial processing, r(28) = .54, p = .003, and executive functioning, r(28) = .42, p = .02. There was an interaction effect of age level and neurocognition status on medication management performance (F = 6.71; MSE = 0.13, p = .01, η2p = .13; see Figure 1), such that older adults with cognitive impairment performed worse than all other age/cognitive status groups. Better performance on MMT–R was associated with the cognitive domains of attention/working memory, r(49) = .48, p < .001, learning/memory, r(49) = .58, p < .001, verbal fluency, r(49) = .41, p < .001, spatial processing, r(49) = .48, p < .001, and executive functioning, r(49) = .61, p < .001; see Table 4). Interaction effects were not found for finance management performance.

Figure 1
Age and cognitive group differences on Medication Management Task (mean scores represented for ease of interpretation). GDS = Global Deficit Score.
TABLE 3
Age and cognitive group differences on functional measures and neuropsychological domains
TABLE 4
Correlations between neurocognitive domains and medication and finance management: Whole sample

Neuropsychological and functional performance among younger and older groups

When we examined the association between medication management and cognition (using NP domain mean T scores) separately by age groups, there were no significant relationships between NP functioning and MMT–R performance for younger adults. However, for older adults, worse performance on MMT–R was associated with greater impairments in attention/working memory, r(26) = .61, p = .001, learning and memory, r(26) = .71, p < .001, verbal fluency and naming, r(26) = .50, p = .007, spatial processing, r(26) = .61, p < .0001, and executive functioning, r(26) = .69, p < .001; see Table 5).

TABLE 5
Correlations between neurocognitive domains, MMT–R, and Advanced Finances

Among younger adults, better performance on Advanced Finances was associated with verbal fluency and naming, r(21) = .62, p = .03, whereas for older participants, performance was positively correlated with spatial processing, r(26) = .66, p = .03.

Neuropsychological functioning and self-reported medication and finance management

There was no meaningful relationship between global neuropsychological functioning and self-reported medication adherence, r(49) = .13, p = .39. Similarly, there was no difference in global neuropsychological functioning between self-reported finance management groups, t(49) = −0.212, p = .83.

Self-report versus laboratory-based performance

As expected, there was no significant relationship between self-reported medication adherence and performance on the MMT–R, r(49) = −.20, p = .16, or differences between self-reported finance competence and performance on Advanced Finances, t(28) = −0.699, p = .49.

DISCUSSION

The present study sought to examine the independent and synergistic effects of aging and cognitive impairment upon medication and finance management among HIV-infected adults. Additional, but related, aims were to examine the associations between specific neurocognitive domains and medication/finance management performance per age group. Finally, we examined the relationship between formal laboratory task performance of functional ability and subjective (i.e., self-reported) functional independence in the domains of medication and finance management. Although functional abilities have been evaluated among healthy elderly and younger HIV populations, to our knowledge this is the first study to examine the combined effects of aging and cognitive dysfunction on functional capacity in an HIV-infected sample. We hypothesized that advancing age and cognitive impairment would independently and synergistically impact medication and finance management abilities and that self-reported medication and finance management would not show reliable associations with either cognitive impairment or performance on objective measures of everyday functioning ability.

Consistent with our hypotheses, we found that older HIV+ adults performed worse than younger HIV+ adults on measures of medication and finance management and that cognitive status impacted medication management independent of age effects. However, there were no differences between global cognitive status groups (i.e., impaired vs. unimpaired) on financial management. Of greatest interest, we found an interaction between age and cognitive status on the medication management task. Specifically, older HIV+ adults with cognitive impairment performed worse than all other age/cognitive status groups. Although previous studies have typically found older age to be associated with higher rates of medication adherence (Barclay et al., 2007; Hinkin et al., 2004), when older adults present with neurocognitive impairment they appear to demonstrate the lowest adherence rates of any group (Ettenhofer et al., 2009; Hinkin et al., 2004). Our study supports that this interaction effect remains even when using a performance-based measure of medication management, which is also consistent with previous research documenting a relationship between cognitive impairment and poorer performance on laboratory-based measures of IADLs (Heaton et al., 2004) and with findings using other objective methods to assess medication adherence including electronic monitoring devices (Hinkin et al., 2002).

Neuropsychological domains of attention/working memory, verbal fluency and naming, learning and memory, spatial processing and executive functioning were associated with performance on the MMT–R for the total sample. However, when examining these associations as a function of age, we found that the prior associations for the total group were virtually all due to the older participants—that is, there were no significant relationships between NP domains and MMT–R performance among younger adults (Table 5). This suggests that the NP/MMT–R performance relationships observed among the entire sample were primarily driven by the older adult group. In fact, correlations between NP domains and MMT performance strengthened when we excluded younger adults from analyses. Interestingly, the NP domains associated with MMT–R task performance are typically involved in HIV-infection and normal aging, suggesting that older adults with HIV may be particularly vulnerable to cognitive and functional deficits. Based upon these findings, it is possible that neuropsychological (NP) functioning plays a greater role in executing complex functional tasks as individuals age.

Advanced Finances was positively correlated with spatial processing and executive functioning for the entire sample. However, when examining these relationships within age groups, we observed differential age-linked contributions of NP functioning to performance on finance management. For younger adults, performance on Advanced Finances was positively associated with verbal fluency whereas for older adults, performance was positively associated with visuospatial processing, a domain also associated with more advanced stages of dementia. Although we expected similar neurocognitive domains to be associated with task performance for both age groups, our findings suggest that neurocognitive functioning may contribute differentially to functional performance as individuals age. Older adults may actually be less vulnerable to functional impairments than younger adults in finance management due to greater years of experience in handling finances. Perhaps it is not until cognitive impairment becomes more severe are deficits in overlearned behaviors observable among older adults.

Also consistent with expectations, there were nonsignificant associations between self-reported medication adherence and performance on laboratory medication management, and between self-reported finance competence and laboratory finance management. One plausible explanation for this discrepancy is the tendency for self-report to overestimate actual ability. Given the exceptionally high rates of self-reported medication adherence (97%) and finance independence (79%) in this particular sample, the lack of relationship between subjective and objective measures of medication and finance management may be due to a lack of variability in self-report measures. However, in considering previous findings from studies that have found discrepancies between self-report and objective performance, particularly among cognitively impaired individuals (Reinhard et al., 2007), reasons other than lack of variability may explain our findings. Although lack of virologic control among a substantial minority of our participants on cART regimens could possibly reflect less complete adherence than was reported, we have no objective data to determine this; future studies should better establish validity of self-reported medication adherence through such means as electronically monitored pill dispensers. If this were the case, it would help to explain the lack of association between neuropsychological performance and self-reported medication and finance management. A substantial number of our participants (n = 21) were not administered the Advanced Finances task because either they reported that they have not used checkbooks (n = 14) or the task was discontinued (n = 7) because the participant either had refused to complete the task (N = 1) or had difficulty with understanding the task. As such, our sample size was reduced to 30 participants, with only 6 participants in the financial dependence group. Power reductions may also explain why we were unable to find differences between finance independence groups on the Advanced Finances Task. We were unable to document an association between global cognitive impairment and financial management. This is in contrast to findings by Heaton and colleagues (2004) and other recent research showing a relationship between cognitive impairment and declining ability to adequately manage finances in individuals with mild cognitive impairment (Triebel et al., 2009). The reason for the negative findings between cognitive status and Advanced Finance task performance is unclear, but may have resulted from the finance management methodology employed in the present study. In our study, we used total points earned on the Advanced Finances task to represent finance competence, whereas Heaton and colleagues (2004) converted raw scores into functional deficit scores derived from performance and percentile ranks of NP normal participants. Perhaps converting raw scores into deficit scores may have been more sensitive to detecting cognitive impairment. Therefore, we are in the process of gathering sufficient control participants to create norms for our functional measures in order to use the functional deficit score approach in future studies. Because we decided to exclude participants who recently abused substances, our study yielded a relatively small sample size (N = 51), which may have reduced the level of power for detecting differences between cognitive status groups on financial management. As mentioned previously, another possibility is that finances, similar to other overlearned behaviors such as driving, may be less vulnerable to the impact of early cognitive decline than more relatively novel activities such as complex medication management. Usually, when managing finances, one is responsible for a single checking account; whereas for managing medications, multiple medications are involved rendering medication management a more cognitively demanding task. As demonstrated in correlational analyses, fewer neurocognitive domains were associated with performance on finances than with performance on medication management. Perhaps it is not until patients develop more severe cognitive impairments that we can observe a decline in overlearned behaviors. Overall, our sample performed relatively well on Advanced Finances compared to the MMT suggesting that Advanced Finances may have been an easier task. Indeed, if this were the case, it suggests that certain functional abilities are more susceptible to decline with advanced age and cognitive impairment. This information would highly benefit the clinician who is challenged with determining whether a patient’s cognitive abilities have declined over the course of age and illness.

Although performance-based measures and traditional neuropsychological tests target similar cognitive processes, as can be seen from correlational data in our older adult sample, performance-based measures target a collection of cognitive processes that are required to execute daily tasks. These measures provide reliable and ecologically valid data within a short period of time in comparison to the standard neuropsychological battery. This statement is not to imply that performance-based measures should replace traditional neuropsychological tests; rather, it supports its utility when attempting to objectively assess functional ability. The information gathered from traditional neuropsychological assessment along with performance assessment would likely provide incremental validity to the clinician’s diagnosis. Furthermore, medication management requires patients to remember a task at least twice a day regardless of how they feel (e.g., upset, sleepy, etc.). On the other hand, finance management is a task that is usually performed once in a while (usually at a selected time) when one feels well and can concentrate.

In summary, this study underscores the importance of using performance-based measures to detect functional limitations associated with aging and HIV. An ongoing difficulty in accurately detecting HIV-related neurocognitive diagnoses is obtaining valid and reliable information pertaining to patient’s IADLs. For example, differentiating among the varying diagnostic categories in the recently developed classification system for HIV-associated neurocognitive disorders (HAND) requires establishing the presence or absence of functional decline, and use of objective assessments such as those in the current study was specified as a method for detecting symptomatic forms of HAND (as opposed to “asymptomatic neuropsychological impairment”; Antinori et al., 2007). Given the limited reliability of self-report, performance-based measures of everyday functioning capacity appear to have stronger ecological validity than traditional NP tests and can be easily included in a overall patient assessment given their relatively brief administration times. Furthermore, such functional measures may be useful for creating cognitive rehabilitation programs designed to help individuals compensate for their IADL dysfunction. Future research should explore the efficacy of these measures for such potential use.

REFERENCES

  • Albert SM, Marder KM, Dooneief G, Bell K, Sano M, Todak G, et al. Neuropsychologic impairment in early HIV infection: A risk factor for work disability. Archives of Neurology. 1995;52:525–530. [PubMed]
  • Albert SM, Weber CM, Todak G, Polanco C, Clouse R, McElhiney, et al. An observed performance test of medication management ability in HIV: Relation to neuropsychological status and medication outcomes. AIDS and Behavior. 1999;3:121–128.
  • Antinori A, Arendt G, Becker JT, Brew BJ, Byrd D, Cherner M, et al. Updated research nosology for HIV-associated neurocognitive disorders. Neurology. 2007;69:1789–1799. [PubMed]
  • Arnsten JH, Demas P, Farzadegan H, Grant RW, Gourevitch M, Chang C, et al. Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: Comparison of self-report and electronic monitoring. Clinical Infectious Diseases. 2001;33(8):1417–1423. [PMC free article] [PubMed]
  • Barclay TR, Hinkin CH, Castellon SA, Mason KI, Reinhard M, Marion S, et al. Age-associated predictors of medication adherence in HIV-positive adults: Health beliefs, self-efficacy, and neurocognitive status. Health Psychology. 2007;26(1):40–49. [PMC free article] [PubMed]
  • Becker JT, Lopez OL, Dew MA, Aizenstein HJ. Prevalence of cognitive disorders differs as a function of age in HIV virus infection. AIDS. 2004;18:S11–S18. [PubMed]
  • Benedict RHB. Brief Visuospatial Memory Test–Revised. Psychological Assessment Resources; Lutz, FL: 1997.
  • Benedict RHB, Mezhir JJ, Walsh K, Hewitt RG. Impact of human immunodeficiency virus Type-1-associated cognitive dysfunction on activities of daily living and quality of life. Archives of Clinical Neuropsychology. 2000;15:529–534. [PubMed]
  • Brandt J, Benedict RHB. Hopkins Verbal Learning Test–Revised. Psychological Assessment Resources; Lutz, FL: 2001.
  • Carey CL, Woods SP, Gonzalez R, Conover E, Marcotte TD, Grant I, et al. Predictive validity of global deficit scores in detecting neuropsychological impairment in HIV infection. Journal of Clinical Neuropsychology. 2004;26:307–319. [PubMed]
  • Center for Disease Control HIV/AIDS Surveillance Report, 2005. Rev ed Vol. 17. U.S. Department of Health and Human Services; Atlanta, GA: 2007. pp. 1–54.
  • Cherner M, Ellis RJ, Lazzaretto D, Young C, Mindt RM, Atkinson JH, et al. Effects of HIV-1 infection and aging on neurobehavioral functioning: Preliminary findings. AIDS. 2004;18:S27–S34. [PubMed]
  • Chesney M, Morin M, Sherr L. Adherence to HIV combination therapy. Social Science and Medicine. 2000;50:1599–1605. [PubMed]
  • Conners CK, MHS Staff Conners’ Continuous Performance Test II. CPT II V.5 Multi-Health Systems; North Tonawanda, NY: 2000.
  • Diehr MC, Cherner M, Wolfson T, Miller SW, Grant I, Heaton RK, et al. The 50 and 100-item short forms of the Paced Auditory Serial Addition Task (PASAT): Demographically corrected norms and comparisons with the full PASAT in normal and clinical samples. Journal of Clinical and Experimental Neuropsychology. 2003;25:571–585. [PubMed]
  • Ettenhofer M, Hinkin C, Castellon S, Durvasula R, Ullman J, Lam M. Aging, neurocognition, and medication adherence in HIV infection. American Journal of Geriatric Psychiatry. 2009;17(4):281–290. [PMC free article] [PubMed]
  • First MB, Spitzer RL, Gibbon M, Williams JBW. Structured clinical interview for DSM–IV Axis I disorders–Patient Edition. SCID I/P, Version 2.0 ed Biometrics Research Department; New York: 1995.
  • Gazelle FK, Frey BN, Hallal PC, Andreazza AC, Cunha AB, Santin, et al. Mismatch between self-reported quality of life and functional assessment in acute mania: A matter of unawareness of illness? Journal of Affective Disorders. 2007;103:247–252. [PubMed]
  • Golden CJ. Stroop color and word test. Stoelting Co; Wood Dale, IL: 1978.
  • Grant I, Heaton RK, Atkinson JH, HNRC group Neurocognitive disorders in HIV-1 infection. Current Topics in Microbiology and Immunology. 1995;202:11–32. [PubMed]
  • Hardy DJ, Hinkin CH, Satz P, Stenquist P, van Gorp W, Moore LH. Age differences and neurocognitive performance in HIV-infected adults. New Zealand Journal of Psychology. 1999;28(2):94–101.
  • Heaton RK, Chelune GJ, Talley JL, Kay GG, Curtiss G. Wisconsin Card Sorting Test. Psychological Assessment Resources; Lutz, FL: 1993.
  • Heaton RK, Grant I, Butters N, White DA, Kirson D, Atkinson JH, HNRC group The HNRC 500—neuropsychology of HIV infection at different disease stages. Journal of the International Neuropsychological Society. 1995;1(3):231–251. [PubMed]
  • Heaton RK, Marcotte TD, Mindt MR, Sadek J, Moore DJ, Bentley H, et al. The impact of HIV-associated neuropsychological impairment on everyday functioning. Journal of the International Neuropsychological Society. 2004a;10:317–331. [PubMed]
  • Heaton RK, Marcotte TD, White DA, Ross D, Meredith K, Taylor MJ, et al. Nature and vocational significance of neuropsychological impairment associated with HIV infection. Clinical Neuropsychologist. 1996;10:1–14.
  • Heaton RK, Miller W, Taylor MJ, Grant I. Revised comprehensive norms for an Expanded Halstead-Reitan Battery: Demographically adjusted neuropsychological norms for African American and Caucasian adults. Psychological Assessment Resources; Lutz, FL: 2004b.
  • Heaton RK, Moore DJ, Marcotte TD, Reicks CJ, Weinberger K, Grant I, et al. Everyday functioning in individuals with HIV-associated neuropsychological impairment. Journal of the International Neuropsychological Society. 2001;7:229–230.
  • Hinkin CH, Castellon SA, Atkinson JH, Goodkin K. Neuropsychiatric aspects of HIV infection among older adults. Journal of Clinical Epidemiology. 2001;54:12, S44–S52. [PMC free article] [PubMed]
  • Hinkin CH, Castellon SA, Durvasula RS, Hardy DJ, Lam MN, Mason KI, et al. Medication adherence among HIV1 adults: Effects of cognitive dysfunction and regimen complexity. Neurology. 2002;59:1944–1950. [PMC free article] [PubMed]
  • Hinkin CH, Hardy DJ, Mason KI, Castellon SA, Durvasula RS, Lam MN, et al. Medication adherence in HIV-infected adults: Effect of patient age, cognitive status, and substance abuse. AIDS. 2004;18(S1):S19–S25. [PMC free article] [PubMed]
  • Hinkin CH, van Gorp WG, Satz P. Neuropsychological aspects of HIV infection. In: Kaplan HI, Sadock BJ, editors. The comprehensive textbook of psychiatry. Vol. 6. Williams & Wilkins; Baltimore: 1995. pp. 1669–1680.
  • Hinkin CH, van Gorp WG, Satz P, Marcotte T, Durvasula RS, Wood S, et al. Actual versus self-reported cognitive dysfunction in HIV-1 infection: Memory–metamemory dissociations. Journal of Clinical and Experimental Neuropsychology. 1996;18:431–443. [PubMed]
  • Lawton MP, Brody EM. Assessment of older people: Self-maintaining and instrumental activities of daily living. Gerontologist. 1969;9:179–186. [PubMed]
  • Levine AJ, Hinkin CH, Marion S, Keuning A, Castellon SA, Lam MN, et al. Adherence to antiretroviral medications in HIV: Differences in data collected via self-report and electronic monitoring. Health Psychology. 2006;25:329–335. [PubMed]
  • Mapou RL, Law WA, Martin A, Kampen D, Salazar AM, Rundell JR. Neuropsychological performance, mood, and complaints of cognitive and motor difficulties in individuals infected with the human immunodeficiency virus. Journal of Neuropsychiatry and Clinical Neurosciences. 1993;5:86–93. [PubMed]
  • Marcotte TD, Heaton RK, Wolfson T, Taylor MJ, Alhassoon O, Arfaa K, et al. The impact of HIV-related neuropsychological dysfunction on driving behavior. Journal of the International Neuropsychological Society. 1999;7:579–592. [PubMed]
  • Moore LH, van Gorp WG, Hinkin CH, Stern MJ, Swales T. Subjective complaints versus actual cognitive deficits in predominantly symptomatic HIV-1 seropositive individuals. Journal of Neuropsychiatry and Clinical Neurosciences. 1997;9:37–44. [PubMed]
  • Reinhard MJ, Hinkin CH, Barclay TR, Levine AJ, Marion S, Castellon SA. Discrepancies between self-report and objective measures for stimulant drug use in HIV: Cognitive, medication adherence and psychological correlates. Addictive Behaviors. 2007;32:2727–2736. [PMC free article] [PubMed]
  • Rourke SB, Halman MH, Bassel C. Neurocognitive complaints in HIV infection and their relationship to depressive symptoms and neuropsychological functioning. Journal of Clinical and Experimental Neuropsychology. 1999;21(6):737–756. [PubMed]
  • Sacktor N, Skolasky R, Selnes OA, Watters M, Poff P, Shiramizu B, et al. Neuropsychological test profile differences between young and old human immunodeficiency virus-positive individuals. Journal of Neurovirology. 2007;13:203–209. [PubMed]
  • Stern Y, Marder K, Bell K, Chen J, Dooneief G, Goldstein S, et al. Multidisciplinary assessment of homosexual men with and without human immunodeficiency virus infection. III. Neurologic and neuropsychological findings. Archives of Neurology. 1991;48:131–138. [PubMed]
  • Stoff DM, Khalsa JH, Monjan A, Portegies P. Introduction: HIV/AIDS and aging. AIDS. 2004;18(Suppl. 1):S1–S2. [PubMed]
  • Taylor MJ, Heaton RK. Sensitivity and specificity of WAIS-III/WMS-III demographically corrected factors scores in neuropsychological assessment. Journal of the International Neuropsychological Society. 2001;7:867–874. [PubMed]
  • Triebel KL, Martin R, Griffith HR, Marceaux J, Okonkwo OC, Harrell L, et al. Declining financial capacity in mild cognitive impairment: A 1-year longitudinal study. Neurology. 2009;73:928–934. [PMC free article] [PubMed]
  • Valcour V, Paul R. HIV infection and dementia in older adults. Aging and Infectious Diseases. 2006;42:1449–1454. [PubMed]
  • Valcour V, Shikuma CM, Watters MR, Sacktor NC. Cognitive impairment in older HIV-1-seropositive individuals: Prevalence and potential mechanisms. AIDS. 2004;18(Suppl. 1):S79–S86. [PMC free article] [PubMed]
  • van Gorp WG, Miller EN, Marcotte TD, Dixon W, Paz DK, Selnes O, et al. The relationship between age and cognitive impairment in HIV-1 infection: Findings from the Multicenter AIDS Cohort Study and clinical cohort. Neurology. 1994;44:929–935. [PubMed]
  • Woods SP, Iudicello JE, Moran LM, Carey CL, Dawson MS, Grant I, et al. HIV-associated prospective memory impairment increases risk of dependence in everyday functioning. Neuropsychology. 2008;22:110–117. [PMC free article] [PubMed]