¡Viva Maryvale!: A Multilevel, Multisector Model to Community-Based Diabetes Prevention

Overview

Journal Am J Prev Med

Specialty Public Health

Date 2018 Dec 22

PMID 30573148

Citations 11

Authors

Erica G Soltero

Crystal Ramos

Allison N Williams

Elva Hooker

Jenny Mendez

Heidi Wildy

Karen Davis

Valentina Hernandez

Omar A Contreras

Maria Silva

Elvia Lish

Gabriel Q Shaibi

Affiliations

Soon will be listed here.

Abstract

Introduction: Latino communities are disproportionately affected by type 2 diabetes and experience disparities in access to diabetes prevention programs. The purpose of this study was to test the preliminary efficacy of a culturally grounded, diabetes prevention program for high-risk Latino families delivered through an integrated research-practice partnership.

Study Design: The integrated research-practice partnership was established in a predominantly Latino community and consisted of a Federally Qualified Health Center, a YMCA, an accredited diabetes education program, and an academic research center. Data were collected and analyzed from 2015 to 2018.

Setting/participants: Latino families consisting of a parent with an obese child between age 8 and 12 years.

Intervention: The 12-week lifestyle intervention included nutrition education and behavioral skills training (60 minutes, once/week) and physical activity classes (60 minutes, three times/week) delivered at a YMCA.

Main Outcome Measures: Outcomes included measures of adiposity (BMI, waist circumference, and body fat); HbA1c; and weight-specific quality of life.

Results: Over the course of the 2-year project period, 58 families (parents n=59, children n=68) were enrolled with 36% of parents and 29% of children meeting the criteria for prediabetes at baseline. Feasibility and acceptability were high, with 83% of enrolled families completing the program, 91% of the intervention sessions attended, and 100% of families stating they would recommend the program. The intervention led to significant decreases in percentage body fat among parents (46.4% [SD=10.8] to 43.5% [SD=10.5], p=0.001) as well as children (43.1% [SD=8.0] to 41.8% [SD=7.2], p=0.03). Additionally, HbA1c was significantly reduced in parents (5.6% [SD=0.4] to 5.5% [SD=0.3], p=0.03), and remained stable in children (5.5% [SD=0.3] vs 5.5% [SD=0.3], p>0.05). Significant improvements in quality of life were reported in parents (64.6 [SD=15.8] to 71.0 [SD=13.7], p=0.001) and children (69.7 [SD=15.8] to 72.6 [SD=13.7], p=0.05).

Conclusions: These findings support the preliminary efficacy of an integrated research-practice partnership to meet the diabetes prevention needs of high-risk Latino families within a vulnerable community.

Citing Articles

Preventing diabetes in Latino families: A protocol for a randomized control trial.

Braxton M, Nwabichie E, Diaz M, Lish E, Ayers S, Williams A Contemp Clin Trials. 2023; 135:107361.

PMID: 37852533 PMC: 10790650. DOI: 10.1016/j.cct.2023.107361.

Use of and barriers to adopting standardized social risk screening tools in federally qualified health centers during the first year of the COVID-19 pandemic.

Giron N, Cole M, Nguyen K Health Serv Res. 2023; 59 Suppl 1:e14232.

PMID: 37715519 PMC: 10796290. DOI: 10.1111/1475-6773.14232.

Identification of Facilitators and Barriers of Healthy Living and Type 2 Diabetes Prevention Among Latinx Families.

Sanchez N, Bernstein R, Annameier S, Clark E, Jimenez V, Hanson L J Lat Psychol. 2022; 10(3):225-240.

PMID: 36211633 PMC: 9536431. DOI: 10.1037/lat0000205.

Honoring the voices of families: An interpretive description of parents' understandings of, and insights into preventing type 2 diabetes in adolescents.

Spurr S, Bally J, Nalwooga N BMC Pediatr. 2022; 22(1):458.

PMID: 35906568 PMC: 9338546. DOI: 10.1186/s12887-022-03487-9.

Feasibility and Acceptability of a Type 2 Diabetes Prevention Intervention for Mothers and Children at a Federally Qualified Healthcare Center.

Hingle M, Blew R, James K, Mockbee J, Palmer K, Roe D J Prim Care Community Health. 2021; 12:21501327211057643.

PMID: 34866483 PMC: 8652912. DOI: 10.1177/21501327211057643.

References

Skinner A, Ravanbakht S, Skelton J, Perrin E, Armstrong S . Prevalence of Obesity and Severe Obesity in US Children, 1999-2016. Pediatrics. 2018; 141(3). PMC: 6109602. DOI: 10.1542/peds.2017-3459. View

Harden S, Beth Johnson S, Almeida F, Estabrooks P . Improving physical activity program adoption using integrated research-practice partnerships: an effectiveness-implementation trial. Transl Behav Med. 2017; 7(1):28-38. PMC: 5352632. DOI: 10.1007/s13142-015-0380-6. View

Estabrooks P, Glasgow R . Translating effective clinic-based physical activity interventions into practice. Am J Prev Med. 2006; 31(4 Suppl):S45-56. DOI: 10.1016/j.amepre.2006.06.019. View

Narayan K, Boyle J, Thompson T, Sorensen S, Williamson D . Lifetime risk for diabetes mellitus in the United States. JAMA. 2003; 290(14):1884-90. DOI: 10.1001/jama.290.14.1884. View

Brandt H, Young V, Campbell D, Choi S, Seel J, Friedman D . Federally Qualified Health Centers' Capacity and Readiness for Research Collaborations: Implications for Clinical-Academic-Community Partnerships. Clin Transl Sci. 2015; 8(4):391-3. PMC: 4553115. DOI: 10.1111/cts.12272. View

Jackson L . Translating the Diabetes Prevention Program into practice: a review of community interventions. Diabetes Educ. 2009; 35(2):309-20. DOI: 10.1177/0145721708330153. View

Gidding S, Nehgme R, Heise C, Muscar C, Linton A, Hassink S . Severe obesity associated with cardiovascular deconditioning, high prevalence of cardiovascular risk factors, diabetes mellitus/hyperinsulinemia, and respiratory compromise. J Pediatr. 2004; 144(6):766-9. DOI: 10.1016/j.jpeds.2004.03.043. View

Gicevic S, Aftosmes-Tobio A, Manganello J, Ganter C, Simon C, Newlan S . Parenting and childhood obesity research: a quantitative content analysis of published research 2009-2015. Obes Rev. 2016; 17(8):724-34. DOI: 10.1111/obr.12416. View

Kessler R, Glasgow R . A proposal to speed translation of healthcare research into practice: dramatic change is needed. Am J Prev Med. 2011; 40(6):637-44. DOI: 10.1016/j.amepre.2011.02.023. View

10.

Zeller M, Modi A . Predictors of health-related quality of life in obese youth. Obesity (Silver Spring). 2006; 14(1):122-30. DOI: 10.1038/oby.2006.15. View

11.

Menke A, Casagrande S, Geiss L, Cowie C . Prevalence of and Trends in Diabetes Among Adults in the United States, 1988-2012. JAMA. 2015; 314(10):1021-9. DOI: 10.1001/jama.2015.10029. View

12.

Economos C, Hyatt R, Goldberg J, Must A, Naumova E, Collins J . A community intervention reduces BMI z-score in children: Shape Up Somerville first year results. Obesity (Silver Spring). 2007; 15(5):1325-36. DOI: 10.1038/oby.2007.155. View

13.

Castaneda S, Holscher J, Mumman M, Salgado H, Keir K, Foster-Fishman P . Dimensions of community and organizational readiness for change. Prog Community Health Partnersh. 2012; 6(2):219-26. PMC: 4169887. DOI: 10.1353/cpr.2012.0016. View

14.

Wilson M, Strayer T, Davis R, Harden S . Use of an Integrated Research-Practice Partnership to Improve Outcomes of a Community-Based Strength-Training Program for Older Adults: Reach and Effect of Lifelong Improvements through Fitness Together (LIFT). Int J Environ Res Public Health. 2018; 15(2). PMC: 5858306. DOI: 10.3390/ijerph15020237. View

15.

Pieh-Holder K, Callahan C, Young P . Qualitative needs assessment: healthcare experiences of underserved populations in Montgomery County, Virginia, USA. Rural Remote Health. 2012; 12:1816. View

16.

C Grossman D, Bibbins-Domingo K, Curry S, Barry M, Davidson K, Doubeni C . Screening for Obesity in Children and Adolescents: US Preventive Services Task Force Recommendation Statement. JAMA. 2017; 317(23):2417-2426. DOI: 10.1001/jama.2017.6803. View

17.

Hill J, Galloway J, Goley A, Marrero D, Minners R, Montgomery B . Scientific statement: Socioecological determinants of prediabetes and type 2 diabetes. Diabetes Care. 2013; 36(8):2430-9. PMC: 3714478. DOI: 10.2337/dc13-1161. View

18.

Ward D, Evenson K, Vaughn A, Rodgers A, Troiano R . Accelerometer use in physical activity: best practices and research recommendations. Med Sci Sports Exerc. 2005; 37(11 Suppl):S582-8. DOI: 10.1249/01.mss.0000185292.71933.91. View

19.

Ober A, Watkins K, Hunter S, Ewing B, Lamp K, Lind M . Assessing and improving organizational readiness to implement substance use disorder treatment in primary care: findings from the SUMMIT study. BMC Fam Pract. 2017; 18(1):107. PMC: 5740845. DOI: 10.1186/s12875-017-0673-6. View

20.

Edelman D, Olsen M, Dudley T, Harris A, Oddone E . Utility of hemoglobin A1c in predicting diabetes risk. J Gen Intern Med. 2004; 19(12):1175-80. PMC: 1492588. DOI: 10.1111/j.1525-1497.2004.40178.x. View