Understanding the impact of five major determinants of health (genetics, biology, behavior, psychology, society/environment) on type 2 diabetes in U.S. Hispanic/Latino families: Mil Familias - a cohort study

Jessikah Morales, Namino Glantz, Arianna Larez, Wendy Bevier, Mary Conneely, Ludi Fan, Beverly Reed, Carlos Alatorre, Rosirene Paczkowski, Tamim Ahmed, Andrew Mackenzie, Ian Duncan, David Kerr, Jessikah Morales, Namino Glantz, Arianna Larez, Wendy Bevier, Mary Conneely, Ludi Fan, Beverly Reed, Carlos Alatorre, Rosirene Paczkowski, Tamim Ahmed, Andrew Mackenzie, Ian Duncan, David Kerr

Abstract

Background: In the United States (U.S.), the prevalence of both diagnosed and undiagnosed type 2 diabetes (T2D) is nearly twice as high among Mexican-origin Hispanic/Latino adults compared to non-Hispanic Whites. Rates of diabetes-related complications, e.g., acute stroke and end-stage renal disease, are also higher among Hispanic/Latino adults compared to their non-Hispanic/Latino White counterparts. Beyond genetic and biological factors, it is now recognized that sociocultural influences are also important factors in determining risk for T2D and the associated complications. These influences include ethnicity, acculturation, residence, education, and economic status. The primary objective of this study is to determine the influence of the 5 major determinants of human health (genetics, biology, behavior, psychology, society/environment) on the burden of T2D for Latino families. To achieve this objective, Mil Familias (www.milfamilias.sansum.org/) is establishing an observational cohort of 1000 Latino families, with at least one family member living with T2D.

Methods: Specially trained, bilingual Latino/a community health workers (Especialistas) recruit participant families and conduct research activities. Each individual family member will contribute data annually on over 100 different variables relating to their genetics, biology, psychology, behavior, and society/environment, creating a Latino-focused biobank ("Living Information Bank"). This observational cohort study is cross-sectional and longitudinal. Participants are divided into 4 groups: adults age ≥ 18 years with and without T2D, and children age ≥ 7 and < 18 years with and without T2D. Study activities take place through encounters between families and their Especialista. Encounters include screening/enrollment, informed consent, health promotion assessment, laboratory tests, questionnaires, physical activity monitoring, and reflection.

Discussion: By creating and providing the framework for the Cohort Establishment study, we intend to inform new approaches regarding equity and excellence in diabetes research and care. We will examine the complex set of factors that contribute to the burden of diabetes in Latino families and assess if cardio-metabolic disease risks go beyond the traditional biological and genetic factors. Breaking the code on the interplay of cardio-metabolic risk factors may help not only this fast growing segment of the U.S. population, but also other high-risk populations.

Trial registration: Study retrospectively registered at ClinicalTrials.gov (NCT03830840), 2/5/2019 (enrollment began 2/1/2019).

Keywords: Hispanic Americans; Latino; Social determinants of health; Type 2 diabetes.

Conflict of interest statement

Jessikah Morales, Namino Glantz, Arianna Larez, Wendy Bevier, Mary Conneely, and David Kerr are employees of Sansum Diabetes Research Institute. David Kerr is medical advisor to Glooko, Vicentra and Hi.Health. He has received remuneration for participation in advisory boards for Sanofi, Ascensia, NovoNordisk and Abbott Diabetes Care and is in receipt of research funding from Lilly, NovoNordisk and Sanofi.

Ludi Fan, Beverly Reed, Carlos Alatorre, and Rosirene Paczkowski are employees and stockholders of Eli Lilly and Company.

Tamim Ahmed, Andrew Mackenzie, and Ian Duncan declare that they have no competing interest.

This study is partially funded by Eli Lilly and Company, and the study protocol has undergone peer-review by Eli Lilly and Company.

Figures

Fig. 1
Fig. 1
Study design. Encounters may be split or combined as long as the Reflection encounter occurs at least 3 months after the HPA encounter

References

    1. National Center for Health Statistics (US). Health, United States, 2016: With Chartbook on Long-term Trends in Health. Hyattsville (MD): National Center for Health Statistics (US); 2017 May. Available from:
    1. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, et al. Heart disease and stroke Statistics-2016 update: a report from the American Heart Association. Circulation. 2016;133(4):e38–360.
    1. Golden SH, Brown A, Cauley JA, Chin MH, Gary-Webb TL, Kim C, et al. Health disparities in endocrine disorders: biological, clinical, and nonclinical factors--an Endocrine Society scientific statement. J Clin Endocrinol Metab. 2012;97(9):E1579–E1639. doi: 10.1210/jc.2012-2043.
    1. Aviles-Santa ML, Colon-Ramos U, Lindberg NM, Mattei J, Pasquel FJ, Perez CM. From Sea to Shining Sea and the Great Plains to Patagonia: A Review on Current Knowledge of Diabetes Mellitus in Hispanics/Latinos in the US and Latin America. Front Endocrinol (Lausanne) 2017;8:298. doi: 10.3389/fendo.2017.00298.
    1. Beydoun MA, Beydoun HA, Mode N, Dore GA, Canas JA, Eid SM, et al. Racial disparities in adult all-cause and cause-specific mortality among us adults: mediating and moderating factors. BMC Public Health. 2016;16(1):1113. doi: 10.1186/s12889-016-3744-z.
    1. Coakley M, Fadiran EO, Parrish LJ, Griffith RA, Weiss E, Carter C. Dialogues on diversifying clinical trials: successful strategies for engaging women and minorities in clinical trials. J Women's Health (Larchmt) 2012;21(7):713–716. doi: 10.1089/jwh.2012.3733.
    1. Ibarra A. In a diverse state, California’s Latino doctors push for more of their own Latinx Physicians of California January. 2018.
    1. United States Census Bureau. Quick facts Santa Barbara County, California. . Accessed 11 April 2019.
    1. United States Census Bureau. Families and Households. . Accessed 11 April 2019.
    1. National Center for Health Statistics . National Health and Nutrition Examination Survey (NHANES) Anthropometry Procedures Manual. Centers for Disease Control. 2017.
    1. Whelton PK, Carey RM, Aronow WS, Casey DE, Jr, Collins KJ, Dennison Himmelfarb C, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and Management of High Blood Pressure in adults: executive summary: a report of the American College of Cardiology/American Heart Association task force on clinical practice guidelines. Circulation. 2018;138(17):e426–ee83.
    1. National Institutes of Health . Policy and Communications Bulletin, The Clinical Center. 2009. Guidelines for Limits of Blood Drawn for Research Purposes in the Clinical Center.
    1. Child and Adolescent Health Measurement Initiative . Health Resources and Services Administration (HRSA) MaCHBM. 2017. National Survey of Children’s Health, Sampling and Survey Administration; p. 2018.
    1. Bergin SM, Brand CA, Colman PG, Campbell DA. A questionnaire for determining prevalence of diabetes related foot disease (Q-DFD): construction and validation. J Foot Ankle Res. 2009;2:34. doi: 10.1186/1757-1146-2-34.
    1. National Center for Health Statistics (US). Health, United States, 2016: With Chartbook on Long-term Trends in Health. Hyattsville (MD): National Center for Health Statistics (US); 2017 May. Available from: .
    1. Johns Hopkins School Of Public Health. ACEs Resource Packet: Adverse Childhood Experiences (ACEs) Basics. . .
    1. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–613. doi: 10.1046/j.1525-1497.2001.016009606.x.
    1. Brondolo E, Kelly KP, Coakley V, Gordon T, Thompson S, Levy E, et al. The perceived ethnic discrimination questionnaire: development and preliminary validation of a community version. J Appl Soc Psychol. 2005;35(2):335–365. doi: 10.1111/j.1559-1816.2005.tb02124.x.
    1. Bredle J, Salsman JM, Debb SM, Arnold BJ, Cella D. Spiritual well-being as a component of health-related quality of life: the functional assessment of chronic illness therapy—spiritual well-being scale (FACIT-Sp) Religions. 2011;2(1):77–94. doi: 10.3390/rel2010077.
    1. RPS-DD . Risk Perception Survey for Developing Diabetes. Regents of the University of Michigan. 2019.
    1. Paz Garcia-Portilla M, Saiz PA, Diaz-Mesa EM, Fonseca E, Arrojo M, Sierra P, et al. Psychometric performance of the Oviedo sleep questionnaire in patients with severe mental disorder. Rev Psiquiatr Salud Ment. 2009;2(4):169–177. doi: 10.1016/S1888-9891(09)73235-5.
    1. Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System Survey Questionnaire. Atlanta, Georgia: U.S. Department of Health and Human Services. 2017.
    1. National Health and Nutrition Examination Survey (NHANES) 2017–2018 - Diet Behavior and Nutrition DBQ.895 G/Q [Internet]. U.S. Department of Health and Human Services. 2017–2018. . Accessed 23 May 2019.
    1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–396. doi: 10.2307/2136404.
    1. Skinner HA. The drug abuse screening test. Addict Behav. 1982;7(4):363–371. doi: 10.1016/0306-4603(82)90005-3.
    1. Garcia AA. The diabetes symptom self-care inventory: development and psychometric testing with Mexican Americans. J Pain Symptom Manag. 2011;41(4):715–727. doi: 10.1016/j.jpainsymman.2010.06.018.
    1. McEwen MM, Pasvogel A, Murdaugh CL. Family self-efficacy for diabetes management: psychometric testing. J Nurs Meas. 2016;24(1):E32–E43. doi: 10.1891/1061-3749.24.1.32.
    1. Garcia-Inzunza JA, Valles-Medina AM, Munoz FA, Delgadillo-Ramos G, Compean-Ortiz LG. Validity of the Mexican version of the combined foot care confidence / foot-care behavior scale for diabetes. Rev Panam Salud Publica. 2015;38(1):35–41.
    1. Mills SD, Malcarne VL, Fox RS, Sadler GR. Psychometric evaluation of the brief acculturation scale for Hispanics. Hisp J Behav Sci. 2014;36(2):164–174. doi: 10.1177/0739986314526697.
    1. Lee SY, Stucky BD, Lee JY, Rozier RG, Bender DE. Short assessment of health literacy-Spanish and English: a comparable test of health literacy for Spanish and English speakers. Health Serv Res. 2010;45(4):1105–1120. doi: 10.1111/j.1475-6773.2010.01119.x.
    1. Singh R, Coyne LS, Wallace LS. Brief screening items to identify spanish-speaking adults with limited health literacy and numeracy skills. BMC Health Serv Res. 2015;15:374. doi: 10.1186/s12913-015-1046-2.
    1. Anderson LA, Dedrick RF. Development of the Trust in Physician scale: a measure to assess interpersonal trust in patient-physician relationships. Psychol Rep. 1990;67(3 Pt 2):1091–1100.
    1. Leads H. Health Leads screening toolkit. 2018.
    1. US Department of Agriculture Economic Research Service . U.S. Household Food Security Survey Module: Six-Item Short Form. 2012.
    1. Sarason IG, Sarason BR, Shearin EN, Pierce GR. A brief measure of social support: practical and theoretical implications. J Soc Pers Relat. 1987;4(4):497–510. doi: 10.1177/0265407587044007.
    1. Moser A, Stuck AE, Silliman RA, Ganz PA, Clough-Gorr KM. The eight-item modified medical outcomes study social support survey: psychometric evaluation showed excellent performance. J Clin Epidemiol. 2012;65(10):1107–1116. doi: 10.1016/j.jclinepi.2012.04.007.
    1. Kane EP, Collinsworth AW, Schmidt KL, Brown RM, Snead CA, Barnes SA, et al. Improving diabetes care and outcomes with community health workers. Fam Pract. 2016;33(5):523–528. doi: 10.1093/fampra/cmw055.
    1. Tang TS, Funnell M, Sinco B, Piatt G, Palmisano G, Spencer MS, et al. Comparative effectiveness of peer leaders and community health workers in diabetes self-management support: results of a randomized controlled trial. Diabetes Care. 2014;37(6):1525–1534. doi: 10.2337/dc13-2161.
    1. Shah M, Kaselitz E, Heisler M. The role of community health workers in diabetes: update on current literature. Curr Diab Rep. 2013;13(2):163–171. doi: 10.1007/s11892-012-0359-3.
    1. Spencer MS, Kieffer EC, Sinco B, Piatt G, Palmisano G, Hawkins J, et al. Outcomes at 18 months from a community health worker and peer leader diabetes self-management program for Latino adults. Diabetes Care. 2018;41(7):1414–1422. doi: 10.2337/dc17-0978.
    1. Egbujie BA, Delobelle PA, Levitt N, Puoane T, Sanders D, van Wyk B. Role of community health workers in type 2 diabetes mellitus self-managemnt: a scoping review. PLoS One. 2018;13:e0198424. doi: 10.1371/journal.pone.0198424.
    1. Casagrande SS, Aviles-Santa L, Corsino L, et al. Hemoglobin A1c, blood pressure, and Ldl-cholesterol control among Hispanic/Latino adults with diabetes: results from the Hispanic community health study/study of Latinos (Hchs/sol) Endocr Pract. 2017;23:1232–1253. doi: 10.4158/EP171765.OR.

Source: PubMed

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