The National Diabetes Prevention Program (NDPP) is a widely disseminated lifestyle intervention to prevent diabetes through weight loss. Racial/ethnic disparities in NDPP effectiveness have been shown, with non-Hispanic whites (NHWs) losing more weight than Hispanics and non-Hispanic blacks (NHBs) (1). Income disparities in NDPP effectiveness are understudied, yet they are relevant for future Medicaid coverage of the program. We previously reported a lower-than-average weight loss for NHWs participating in the NDPP within a health care system for underserved populations (2). Here, we examined whether income status modifies the association between race/ethnicity and NDPP outcomes.

The NDPP was implemented in a safety-net health care system following Centers for Disease Control and Prevention (CDC) guidelines (3). Effectiveness was evaluated among 994 Hispanic, NHB, and NHW participants. The Colorado Multiple Institutional Review Board approved this program evaluation project. Race/ethnicity, income, age, sex, and BMI were collected from medical records. Income was classified as either above or below 133% of the federal poverty level following state Medicaid requirements. Outcomes included percentage of sessions attended and weight loss.

General linear models were constructed to determine differences in attendance and weight loss by race/ethnicity, income, and the interaction between race/ethnicity and income after adjusting for significant covariates. Weight-loss models were further adjusted for attendance and repeated for active participants (≥4 sessions attended in months 1–6 but without program completion) and completing participants (≥9 and ≥3 sessions attended in months 1–6 and 7–12, respectively). SPSS version 22 was used for analyses.

Over one-half of participants (59.0%) were Hispanic, 20.1% were NHB, and 20.9% were NHW. A majority of participants in each racial/ethnic group were low income (61.7% overall). Participants attended 35.3% of sessions (SD 31.6) on average. The interaction of race/ethnicity by income was nonsignificant for attendance (P = 0.566). Main effects of race/ethnicity (P = 0.121) or income (P = 0.671) on attendance were also nonsignificant after the interaction was removed from the model. However, the effect of race/ethnicity on weight loss was significantly modified by income (P = 0.020), with similar results for active and completing participants (P = 0.047 and P = 0.044, respectively) (Table 1). Among NHWs finishing the program, those with low income achieved only one-quarter of the weight loss obtained by their higher-income counterparts (1.73% vs. 6.32%, P = 0.019). There were no weight-loss differences by income among Hispanics and NHBs. Additionally, the proportion of completing participants who achieved ≥5% weight loss was 66.0% among NHWs vs. 54.9% among Hispanics and NHBs (P = 0.234).

Table 1

Adjusted percent weight loss by race/ethnicity and income in the NDPP, N = 994

All participantsActive but not completing participantsCompleting participants
nWeight lossP valuenWeight lossP valuenWeight lossP value
NHW          
 Low income 106 1.21 (0.38) 0.007 40 1.46 (0.55) 0.029 24 1.73 (1.36) 0.019 
 Not low income 102 2.66 (0.38) – 46 3.09 (0.51) – 23 6.32 (1.39) – 
Hispanic and NHB          
 Low income 507 1.52 (0.18) 0.945 193 1.70 (0.25) 0.841 94 4.54 (0.68) 0.997 
 Not low income 279 1.54 (0.24) – 99 1.61 (0.35) – 50 4.54 (0.94) – 
All participantsActive but not completing participantsCompleting participants
nWeight lossP valuenWeight lossP valuenWeight lossP value
NHW          
 Low income 106 1.21 (0.38) 0.007 40 1.46 (0.55) 0.029 24 1.73 (1.36) 0.019 
 Not low income 102 2.66 (0.38) – 46 3.09 (0.51) – 23 6.32 (1.39) – 
Hispanic and NHB          
 Low income 507 1.52 (0.18) 0.945 193 1.70 (0.25) 0.841 94 4.54 (0.68) 0.997 
 Not low income 279 1.54 (0.24) – 99 1.61 (0.35) – 50 4.54 (0.94) – 

Data are presented as percent weight loss mean (SE) based on modified population marginal means, unless otherwise indicated. Models include attendance, income, race/ethnicity (NHW vs. Hispanic and NHB), and race/ethnicity*income. Neither age (P = 0.973), sex (P = 0.675), nor baseline BMI (P = 0.810) were significant predictors and were removed from final models. Boldface type indicates statistical significance in adjusted percent weight loss within racial/ethnic groups by income level (P < 0.05).

Active participants attended ≥4 sessions in months 1–6 but did not complete the program.

Completing participants attended ≥9 and ≥3 sessions in months 1–6 and 7–12, respectively, per CDC guidelines (3).

In conclusion, low-income NHWs experience disparities in NDPP effectiveness despite regular attendance, raising concerns about pay-for-performance coverage models that largely reimburse by weight loss (4). In contrast, there were no income disparities for Hispanics and NHBs (3). In addition to cultural tailoring, low-income adaptations of the NDPP should be developed and tested, which may include skills-based training in food preparation on a budget and increasing access to resources like food banks and recreation centers. Results are not generalizable, and future research is needed to replicate findings, including in samples with greater income variability, and to understand perceived barriers to weight loss among low-income NHWs. In summary, the findings highlight the need to better serve priority populations in diabetes prevention efforts, including low-income NHWs.

Funding and Duality of Interest. The NDPP at Denver Health was funded largely by the Amendment 35 Cancer, Cardiovascular and Chronic Pulmonary Disease Grants Program administered by the Colorado Department of Public Health and Environment, as well as an award from America’s Health Insurance Plans in partnership with the CDC. Additional support was provided by Denver Health. No other potential conflicts of interest relevant to this article were reported.

The contents of this article are solely the responsibility of the authors and do not represent the official views of these organizations.

Author Contributions. N.D.R., K.A.S., P.P.-B., and C.R.A. conceived the research. N.D.R. conducted the data analysis and wrote the manuscript. All authors critically reviewed the manuscript, and all authors read and approved the final submitted version. N.D.R. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

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