Mental Bandwidth is Associated with HIV and Viral Suppression Among Low-Income Women in Philadelphia.
Behavioral economics
HIV
Mental bandwidth
Poverty
Pregnancy
Journal
AIDS and behavior
ISSN: 1573-3254
Titre abrégé: AIDS Behav
Pays: United States
ID NLM: 9712133
Informations de publication
Date de publication:
01 Nov 2024
01 Nov 2024
Historique:
accepted:
21
10
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
1
11
2024
Statut:
aheadofprint
Résumé
Behavioral economics research suggests poverty may influence behavior by reducing mental bandwidth, increasing future discounting, and increasing risk aversion. It is plausible these decision-making processes are further impaired in the context of HIV or pregnancy. In this cross-sectional study of 86 low-income women in Philadelphia, HIV was associated with lower mental bandwidth (one of two measures) and lower risk aversion. Pregnancy was not associated with any decision-making factors. In secondary analyses, viral suppression was associated with greater mental bandwidth (one of two measures), and antenatal clinic attendance with lower future discounting. Anti-poverty interventions may be beneficial to improve HIV-related health behaviors.
Identifiants
pubmed: 39485620
doi: 10.1007/s10461-024-04539-0
pii: 10.1007/s10461-024-04539-0
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Penn CFAR
ID : P30AI045008
Organisme : NIMH NIH HHS
ID : K23MH131464
Pays : United States
Informations de copyright
© 2024. The Author(s).
Références
Nachega ADDINENREFLIST, Uthman JB, Anderson OA. <ArticleTitle Language=“En”>Adherence to antiretroviral therapy during and after pregnancy in low-income, middle-income, and high-income countries: a systematic review and meta-analysis. AIDS. 2012;26(16):2039–52.
doi: 10.1097/QAD.0b013e328359590f
pubmed: 22951634
Centers for Disease Control and Prevention. Behavioral and Clinical Characteristics of Persons with Diagnosed HIV Infection — Medical Monitoring Project, United States, 2019 Cycle (June 2019-May 2020). HIV Surveillance Special Report 28. 2021.
Momplaisir FM, Storm DS, Nkwihoreze H, Jayeola O, Jemmott JB. Improving postpartum retention in care for women living with HIV in the United States. AIDS. 2018;32(2):133–42.
doi: 10.1097/QAD.0000000000001707
pubmed: 29194122
Myer L, Phillips TK. Beyond Option B+: Understanding Antiretroviral Therapy (ART) Adherence, Retention in Care and Engagement in ART Services Among Pregnant and Postpartum Women Initiating Therapy in Sub-Saharan Africa. J Acquir Immune Defic Syndr. 2017;75(Suppl 2):S115–22.
doi: 10.1097/QAI.0000000000001343
pubmed: 28498180
Haushofer J, Fehr E. On the psychology of poverty. Sci (New York NY). 2014;344(6186):862.
doi: 10.1126/science.1232491
Coleman-Jensen A, Rabbitt MP, Gregory CA, Singh A. Statistical Supplement to Household Food Security in the United States in 2020, AP-091. U.S. Department of Agriculture, Economic Research Service; 2020.
Practice AAPCF. Newborn, Obstetric ACo. Guidelines for Perinatal Care. Am Acad Pediatr. 2017. https://doi.org/10.1542/9781610020886 .
doi: 10.1542/9781610020886
Schilbach F, Schofield H, Mullainathan S. The Psychological Lives of the Poor. Am Econ Rev. 2016;106(5):435–40.
doi: 10.1257/aer.p20161101
pubmed: 29547249
Kirby KN, Petry NM, Bickel WK. Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. J Exp Psychol Gen. 1999;128(1):78–87.
doi: 10.1037/0096-3445.128.1.78
pubmed: 10100392
Chuang Y, Schechter L. Stability of experimental and survey measures of risk, time, and social preferences: A review and some new results. J Dev Econ. 2015;117:151–70.
doi: 10.1016/j.jdeveco.2015.07.008
pubmed: 30078930
pmcid: 6070154
Yekutieli D, Benjamini Y. Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics. J Stat Plann Inference. 1999;82(1):171–96.
doi: 10.1016/S0378-3758(99)00041-5
Mani A, Mullainathan S, Shafir E, Zhao J. Poverty Impedes Cognitive Function. Sci (New York NY). 2013;341(6149):976.
doi: 10.1126/science.1238041
Stanczyk AB. The Dynamics of U.S. Household Economic Circumstances Around a Birth. Demography. 2020;57(4):1271–96.
doi: 10.1007/s13524-020-00897-1
pubmed: 32705567
Kahneman D, Frederick S. Representativeness Revisited: Attribute Substitution in Intuitive Judgment. In: Gilobich T, Griffin D, Kahneman D, editors. Heuristics and Biases: The Psychology of Intuitive Judgment. Cambridge, UK: Cambridge University Press; 2002. pp. 49–81.
doi: 10.1017/CBO9780511808098.004
Shah AK, Mullainathan S, Shafir E. Some consequences of having too little. Sci (New York NY). 2012;338(6107):682–5.
doi: 10.1126/science.1222426
Aarts H, Dijksterhuis A, De Vries P. On the psychology of drinking: being thirsty and perceptually ready. Br J Psychol. 2001;92(Pt 4):631–42.
doi: 10.1348/000712601162383
pubmed: 11762865
Radel R, Clément-Guillotin C. Evidence of motivational influences in early visual perception: hunger modulates conscious access. Psychol Sci. 2012;23(3):232–4.
doi: 10.1177/0956797611427920
pubmed: 22282875
Lichand G, Mani A. Cognitive Droughts. CSAE Working Paper Series. Centre for the Study of African Economies, University of Oxford;2020.
Bartoš V, Bauer M, Chytilová J, Levely I. Psychological Effects of Poverty on Time Preferences. Econ J. 2021;131(638):2357–82.
doi: 10.1093/ej/ueab007
Ong Q, Theseira W, Ng IYH. Reducing debt improves psychological functioning and changes decision-making in the poor. Proc Natl Acad Sci. 2019;116(15):7244.
doi: 10.1073/pnas.1810901116
pubmed: 30910964
pmcid: 6462060
Ibrahim M, Chen Y, Pereira A, Musa T, Bathia D, Handa S. The Psychology of Poverty: A Replication Based on Zimbabwe’s Harmonised Social Cash Transfer Programme. J Afr Econ 2023:ejad013.
Richterman A, Thirumurthy H. The effects of cash transfer programmes on HIV-related outcomes in 42 countries from 1996 to 2019. Nat Hum Behav. 2022.