IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v320y2023ics0277953623000692.html
   My bibliography  Save this article

Associations between depression and diabetes among Latinx patients from low-income households in New Mexico

Author

Listed:
  • Erhardt, Erik
  • Murray-Krezan, Cristina
  • Regino, Lidia
  • Perez, Daniel
  • Bearer, Elaine L.
  • Page-Reeves, Janet

Abstract

Depression and diabetes are co-occurring epidemics. This article explores the association between depression and diabetes in a cohort of Latinx patients with diabetes from low-income households. Data were gathered in Albuquerque, New Mexico (U.S.) between 2016 and 2020 as part of a patient-engaged comparative effectiveness trial comparing two culturally appropriate diabetes self-management programs—the Chronic Care Model (CCM) and the standard of care, Diabetes Self-Management Support Empowerment Model (DSMS). We proposed that the program most culturally and contextually situated in the life of the patient would have the greatest impact on diabetes self-management. Participants were enrolled as dyads—226 Latinx diabetes patient participants (PPs) from low-income households and 226 social support participants (SSPs). Data gathered at baseline, 3, 6, and 12 months included a measure of depression and A1c testing. Outcomes between programs were analyzed using longitudinal linear mixed modeling, adjusted for patient demographic characteristics and other potential confounding covariates. Patient A1c had an initial slight decrease at 3 months in both programs. At CCM, patients with a very high A1c (greater than 10%) demonstrated a clinically meaningful decrease in A1c over time. Patients at CCM experienced a large initial decrease in depression and continued to decrease throughout the study, while patients at DSMS showed a slight initial decrease through 6 months, but depression increased again by 12 months, nearly rebounding to baseline levels. A subgroup analysis revealed that a higher baseline A1c was associated with higher depression, and patients with higher A1c achieved greater reductions in depression at CCM than at DSMS. CCM scored higher on Consumer Assessment of Healthcare Providers and Systems cultural competence (CAHPS-CC). Interpretation of results suggests that the more culturally, contextually situated program, CCM, had better outcomes. This study demonstrates that culturally and contextually situating a diabetes intervention can deliver improved benefits for Latinx patients.

Suggested Citation

  • Erhardt, Erik & Murray-Krezan, Cristina & Regino, Lidia & Perez, Daniel & Bearer, Elaine L. & Page-Reeves, Janet, 2023. "Associations between depression and diabetes among Latinx patients from low-income households in New Mexico," Social Science & Medicine, Elsevier, vol. 320(C).
  • Handle: RePEc:eee:socmed:v:320:y:2023:i:c:s0277953623000692
    DOI: 10.1016/j.socscimed.2023.115713
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953623000692
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2023.115713?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alegría, M. & Mulvaney-Day, N. & Torres, M. & Polo, A. & Cao, Z. & Canino, G., 2007. "Prevalence of psychiatric disorders across Latino subgroups in the United States," American Journal of Public Health, American Public Health Association, vol. 97(1), pages 68-75.
    2. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    3. Trickett, E.J. & Beehler, S. & Deutsch, C. & Green, L.W. & Hawe, P. & McLeroy, K. & Lin Miller, R. & Rapkin, B.D. & Schensul, J.J. & Schulz, A.J. & Trimble, J.E., 2011. "Advancing the science of community-level interventions," American Journal of Public Health, American Public Health Association, vol. 101(8), pages 1410-1419.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    2. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    3. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    4. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    5. Liangyuan Hu & Lihua Li, 2022. "Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series," IJERPH, MDPI, vol. 19(23), pages 1-13, December.
    6. Norah Alyabs & Sy Han Chiou, 2022. "The Missing Indicator Approach for Accelerated Failure Time Model with Covariates Subject to Limits of Detection," Stats, MDPI, vol. 5(2), pages 1-13, May.
    7. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    8. Scott C. Carvajal & Noelle Miesfeld & Jean Chang & Kerstin M. Reinschmidt & Jill Guernsey De Zapien & Maria L. Fernandez & Cecilia Rosales & Lisa K. Staten, 2013. "Evidence for Long-Term Impact of Pasos Adelante : Using a Community-Wide Survey to Evaluate Chronic Disease Risk Modification in Prior Program Participants," IJERPH, MDPI, vol. 10(10), pages 1-17, October.
    9. Ida Kubiszewski & Kenneth Mulder & Diane Jarvis & Robert Costanza, 2022. "Toward better measurement of sustainable development and wellbeing: A small number of SDG indicators reliably predict life satisfaction," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 139-148, February.
    10. Georges Steffgen & Philipp E. Sischka & Martha Fernandez de Henestrosa, 2020. "The Quality of Work Index and the Quality of Employment Index: A Multidimensional Approach of Job Quality and Its Links to Well-Being at Work," IJERPH, MDPI, vol. 17(21), pages 1-31, October.
    11. Christopher Kath & Florian Ziel, 2018. "The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts," Papers 1811.08604, arXiv.org.
    12. Esef Hakan Toytok & Sungur Gürel, 2019. "Does Project Children’s University Increase Academic Self-Efficacy in 6th Graders? A Weak Experimental Design," Sustainability, MDPI, vol. 11(3), pages 1-12, February.
    13. Melinda Craike & Bojana Klepac & Amy Mowle & Therese Riley, 2023. "Theory of systems change: An initial, middle-range theory of public health research impact," Research Evaluation, Oxford University Press, vol. 32(3), pages 603-621.
    14. J M van Niekerk & M C Vos & A Stein & L M A Braakman-Jansen & A F Voor in ‘t holt & J E W C van Gemert-Pijnen, 2020. "Risk factors for surgical site infections using a data-driven approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-14, October.
    15. Joost R. Ginkel, 2020. "Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data," Psychometrika, Springer;The Psychometric Society, vol. 85(1), pages 185-205, March.
    16. Lara Jehi & Xinge Ji & Alex Milinovich & Serpil Erzurum & Amy Merlino & Steve Gordon & James B Young & Michael W Kattan, 2020. "Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-15, August.
    17. Finno-Velasquez, Megan & Seay, Kristen D. & He, Amy S., 2016. "A national probability study of problematic substance use and treatment receipt among Latino caregivers involved with child welfare: The influence of nativity and legal status," Children and Youth Services Review, Elsevier, vol. 71(C), pages 61-67.
    18. Matthew Carli & Mary H. Ward & Catherine Metayer & David C. Wheeler, 2022. "Imputation of Below Detection Limit Missing Data in Chemical Mixture Analysis with Bayesian Group Index Regression," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    19. Gerko Vink & Laurence E. Frank & Jeroen Pannekoek & Stef Buuren, 2014. "Predictive mean matching imputation of semicontinuous variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(1), pages 61-90, February.
    20. Samson, Frank L., 2015. "Racial resentment and smoking," Social Science & Medicine, Elsevier, vol. 126(C), pages 164-168.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:320:y:2023:i:c:s0277953623000692. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.