grant

Stress, race, and cognitive mediators of SES-related disparities in behavioral obesity treatment outcomes

Organization RUSH UNIVERSITY MEDICAL CENTERLocation CHICAGO, UNITED STATESPosted 1 Jul 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY202521+ years oldAccelerometerActive Follow-upAddressAdherenceAdultAdult HumanAdult-Onset Diabetes MellitusAdverse ExperienceAdverse eventAppetite stimulatedAttentionBehavior Conditioning TherapyBehavior ControlBehavior ModificationBehavior TherapyBehavior TreatmentBehavioralBehavioral Conditioning TherapyBehavioral ManipulationBehavioral ModificationBehavioral TherapyBehavioral TreatmentBody Weight decreasedCardiovascular DiseasesClinicalCognitiveConditioning TherapyDevelopmentDietary intakeDietary qualityDisparitiesDisparityDisparity populationEating BehaviorEcological momentary assessmentEconomic IncomeEconomical IncomeEducationEducational aspectsEnrollmentEnvironmentEthnic OriginEthnicityEventExposure toFoodFutureGoalsImpoverishedIncomeIncreased food appetiteIndividualIndividual DifferencesInterventionInvestmentsJust-in-Time Adaptive InterventionKetosis-Resistant Diabetes MellitusLinkMaturity-Onset Diabetes MellitusMeasuresMediatingMediatorModelingMonitorNIDDMNon-Insulin Dependent DiabetesNon-Insulin-Dependent Diabetes MellitusNoninsulin Dependent DiabetesNoninsulin Dependent Diabetes MellitusObesityOutcomePatternPhenotypePhysical activityPopulationPovertyPsychologyRaceRacesRacial GroupRiskRoleSES disparitySamplingSlow-Onset Diabetes MellitusSocio-economic statusSocioeconomic StatusSocioeconomically disadvantagedStable Diabetes MellitusStressT2 DMT2DT2DMTestingTreatment outcomeType 2 Diabetes MellitusType 2 diabetesType II Diabetes MellitusType II diabetesUnhealthy DietWeightWeight LossWeight ReductionWeight maintenance regimenaccelerometryactive followupactivity monitoractivity trackeradiposityadult adiposityadult obesityadult onset diabetesadulthoodadults with obesitybehavior interventionbehavioral controlbehavioral interventionbody weight losscardiovascular disorderco-morbidco-morbiditycognitive neurosciencecohortcomorbiditycorpulencecustomized therapycustomized treatmentdesigndesigningdevelopmentaldiet qualitydietarydisadvantaged groupdisadvantaged individualdisadvantaged peopledisadvantaged populationdisadvantaged subgroupdisparities across groupsdisparities in racedisparity across subgroupsdisparity among groupsdisparity among subgroupsdisparity between groupsdisparity between subgroupsdisparity due to raceenrollexecutive controlexecutive functionexperiencefollow upfollow-upfollowed upfollowupgroup disparitygroup inequalitygroup inequityincomesincreased appetiteincreased hungerindividualized medicineindividualized patient treatmentindividualized therapeutic strategyindividualized therapyindividualized treatmentinequalities among populationsinequalities between populationsinequalities in populationsinequality across populationsinequality among groupsinequality between groupsinequality due to raceinequality in groupsinequities among populationsinequities between populationsinequities in populationsinequity across groupsinequity across populationsinequity between groupsinequity due to raceinequity in groupsketosis resistant diabeteslow SESlow socio-economic positionlow socio-economic statuslow socioeconomic positionlow socioeconomic statusmaturity onset diabetesnew therapeutic approachnew therapeutic interventionnew therapeutic strategiesnew therapy approachesnew treatment approachnew treatment strategynovel therapeutic approachnovel therapeutic interventionnovel therapeutic strategiesnovel therapy approachobesity interventionobesity riskobesity therapyobesity treatmentpatient specific therapiespatient specific treatmentpoor dietpopulation inequalitypopulation inequityrace based disparityrace based inequalityrace based inequityrace disparityrace related disparityrace related inequalityrace related inequityracialracial backgroundracial disparityracial inequalityracial inequityracial minority statusracial originracial populationracial subgroupracially unequalrisk for obesityrisk of obesitysocial rolesocio-economic disadvantagesocio-economic disparitysocio-economic inequalitysocio-economic inequitysocio-economic positionsocio-economically disadvantagedsocio-economically underprivilegedsocioeconomic disadvantagesocioeconomic disparitysocioeconomic inequalitysocioeconomic inequitysocioeconomic positionsocioeconomically underprivilegedstandard of caresubgroup disparitytailored medical treatmenttailored therapytailored treatmenttheoriestype 2 DMtype II DMtype two diabetesunequal groupunequal populationunique treatmentweight controlweight loss interventionweight loss therapyweight loss treatmentweight managementweightswt-loss
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Full Description

PROJECT SUMMARY/ABSTRACT
Individuals of lower socioeconomic status (SES) lose only half as much weight in behavioral weight loss

interventions as those of higher SES. This is a clinically meaningful difference in outcomes that has been

consistently documented. The overarching aim of this project is to identify the mechanisms that account for

SES-related disparities in behavioral weight loss outcomes, which would enable the development of more

effective obesity treatment approaches for lower SES populations. One potential mechanism is present bias,

which is a tendency to focus on one’s immediate needs that may result from exposure to harsh and

unpredictable environments. Present bias is a compelling candidate as a mechanism of SES-related disparities

in weight loss outcomes because it is much more pronounced in lower SES populations, and it has been linked

to obesity risk, maladaptive eating behaviors, and poor diet quality. A second set of potential mechanisms

includes adverse daily experiences such as stress, cognitive demands, and exposure to tempting foods. Stress

and cognitive demands are more prevalent or severe in the lives of lower SES populations, and can disrupt the

executive functions that are important for adhering to weight control behaviors during obesity treatment.

This project will allocate equal numbers of subjects of lower and higher SES to a standard-of-care weight loss

intervention. Importantly, the SES groups will be balanced with respect to ethnic/racial minority status. Weight

loss outcomes and adherence to three key weight control behaviors (dietary lapses, dietary self-monitoring,

and physical activity) will be rigorously measured across six months of follow up. Individual differences in

present bias will be thoroughly assessed at baseline. Ecological momentary assessment will be used to

capture exposure to adverse daily experiences, as well as momentary changes in present bias. Aim 1 is to test

whether present bias accounts for SES-related disparities in behavioral weight loss outcomes and adherence

to key weight control behaviors. Aims 2a and 2b will characterize the role of adverse daily experiences in SES-

related disparities in weight loss outcomes and adherence to weight control behaviors, both overall and among

present-biased individuals in particular. Aim 3 is to explore the contribution of race to SES-related disparities in

weight loss outcomes, which has been challenging to elucidate in prior studies due to significant confounding

of race and SES at the societal level. The results of this study could lead to a new understanding of how

socioeconomic disadvantage impacts adherence to behavioral treatment for obesity, and suggest entirely new

treatment approaches focused on mitigating present bias or delivering tailored intervention content during

“moments of risk” for lapses in adherence.

Grant Number: 5R01HL156622-04
NIH Institute/Center: NIH

Principal Investigator: Bradley Appelhans

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