grant

A longitudinal analysis of methamphetamine use, social relationships, and cognitive function among people living with HIV

Organization EMORY UNIVERSITYLocation ATLANTA, UNITED STATESPosted 30 Sept 2021Deadline 31 Jul 2026
NIHUS FederalResearch GrantFY202412-20 years old21+ years oldAIDSAIDS VirusAcquired Immune DeficiencyAcquired Immune Deficiency SyndromeAcquired Immune Deficiency Syndrome VirusAcquired Immunodeficiency SyndromeAcquired Immunodeficiency Syndrome VirusAddressAdolescenceAdultAdult HumanAgeAge YearsAgingAreaAwardCaliforniaCaringChemical DependenceCognitive DisturbanceCognitive ImpairmentCognitive declineCognitive function abnormalCrystal MethCrystal methamphetamineDataData SetDeoxyephedrineDesoxyephedrineDisturbance in cognitionDrug AddictionDrug DependenceDrug DependencyDrug usageEmotionsEnsureEquationFamilyFundingFutureHIVHIV InfectionsHTLV-III InfectionsHTLV-III-LAV InfectionsHuman Immunodeficiency VirusesHuman T-Lymphotropic Virus Type III InfectionsIQ DeficitImpaired cognitionIndividualInterventionIntervention StrategiesInvestmentsKnowledgeLAV-HTLV-IIILife CycleLife Cycle StagesLongitudinal StudiesLymphadenopathy-Associated VirusMETH useMeasurementMeasuresMediatingMental HealthMental HygieneMentorsMethamphetamineMethamphetamine use disorderMethodsMethylamphetamineModelingMultivariate AnalysesMultivariate AnalysisN-MethylamphetamineNIDANIMHNational Institute of Drug AbuseNational Institute of Mental HealthNational Institute on Drug AbuseNational Institutes of HealthNeurocognitiveNeurocognitive DeficitOlder PopulationPathway interactionsPersonsPositionPositioning AttributePrincipal InvestigatorProbabilistic ModelsProbability ModelsPsychological HealthPublicationsQualitative MethodsResearchRisk FactorsSamplingScientific Advances and AccomplishmentsScientific PublicationScientistSocial supportSocietiesStatistical MethodsStatistical ModelsStrategic PlanningSubstance Use DisorderTimeTrainingUnited States National Institutes of HealthUniversitiesValidity and ReliabilityVariantVariationVirus-HIVVulnerable Populationsadolescence (12-20)adult youthadulthoodagesanalyzing longitudinalbiological agebrain healthco-infectionco-morbidco-morbiditycognitive changecognitive dysfunctioncognitive functioncognitive losscohortcoinfectioncomorbiditydevelop therapydrug useexperienceimprovedinnovateinnovationinnovativeinsightintelligence quotient deficitintervention designintervention developmentinterventional strategylife courselife spanlifespanlong-term studylongitudinal analysislongitudinal databaselongitudinal outcome studieslongterm studymethmeth use disordermethamphetamine useneurobehavioralneurocognitive declineneurocognitive impairmentnovelolder groupsolder individualsolder personpathwaypeerphysical conditioningphysical healthpopulation healthpsychosocialqualitative reasoningreduced substance usereduction in substance useresponse to therapyresponse to treatmentscientific accomplishmentsscientific advancesskillssocial relationshipssocial support networkstatistic methodsstatistical linear mixed modelsstatistical linear modelssubstance usesubstance use and disordersubstance use reductionsubstance usingsuccesstherapeutic responsetherapy designtherapy developmenttherapy responsetreatment designtreatment developmenttreatment responsetreatment responsivenessvulnerable groupvulnerable individualvulnerable peopleyoung adultyoung adulthood
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Full Description

PROJECT SUMMARY/ABSTRACT
There is compelling but scant evidence that the increasingly common combination of HIV, methamphetamine

use (MU), and aging form a deleterious trio that undermines cognitive functioning. HIV and MU are both risk

factors for decreased neurocognitive function and evidence shows that continued substance use (SU) after HIV

infection may erode cognitive functioning. Estimates indicate that over 70% of people living with HIV (PWH) will

be >50 years of age in the next decade and older PWH experience a high burden of both lifetime SU and

cognitive impairment. A gap exists in our understanding of the intertwining relationships of SU, HIV, and cognitive

function across biological ages and over time. Examining cognitive change over time and across ages will help

identify potential points of intervention to maintain brain health across the life course. Interventions to reduce MU

and support brain health among aging PWH are vital and improving social relationships is a promising area of

intervention. By applying advanced statistical modeling methods and capitalizing on an exceptional analytic

cohort of 527 adults with and without HIV (ages 18-87) and people who use meth, the proposed study is uniquely

positioned to rigorously advance scientific understanding of these intertwining relationships across ages and

over time among adults with and without HIV. The specific aims of this study are to 1) Assess the validity and

reliability

of the social relationship measures in the NIH Toolbox Emotions Battery in adults aging with vs. without

HIV, to inform Aims 2 and 3 analyses;

2) Examine a) age-varying cognitive impairment among our sample, and

Identify a) the

reciprocal associations between MU and cognitive function over time among people with and without HIV and b)

examine the extent to which social relationships mediate the longitudinal associations between MU and cognitive

function among adults with and without HIV.

b) variations in cognitive function across age by HIV status, MU, and social relationships; and 3)

The proposed K01 will also provide me with a rich opportunity to

become an NIH-funded leader in life course research who applies advanced quantitative and qualitative methods

to conduct high impact, rigorous NIH-funded about the psychosocial needs of PWH with co-occurring SU and

other mental and physical health comorbidities across the lifespan by: (1) deepening my expertise in the

substantive content and measurement of SU and cognitive function; (2) expanding my knowledge about the

measurement of social relationship factors that might mediate relationships of HIV, SU, and cognitive function;

(3) gaining expertise in time-varying effect modeling; and (4) developing my expertise in longitudinal structural

equation modeling, including cross-lagged panel analysis, to examine reciprocal change over time. This research

team of mentors. The findings and skills obtained

from this award will result in scientific publications

that provide insight into the intertwining relationships of MU, cognitive function, and social relationships across

the life span among PWH; and provide direction for intervention development.

and training will be conducted under a nationally recognized

ensure my success as an independent NIH-funded scientist;

Grant Number: 5K01DA053985-04
NIH Institute/Center: NIH

Principal Investigator: Alexis Bender

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