Your browser doesn't support javascript.
loading
Association Between Rental Assistance Programs and Undiagnosed Diabetes Among U.S.
Gonzalez-Lopez, Carolina; Fenelon, Andrew; Lipska, Kasia J; Denary, Whitney; Schlesinger, Penelope; Esserman, Denise; Keene, Danya.
Affiliation
  • Gonzalez-Lopez C; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. Carolina.gonzalez-lopez@yale.edu.
  • Fenelon A; Section of Endocrinology, Yale University, 333 Cedar Street, P.O. Box 208020, New Haven, CT, 06520, USA. Carolina.gonzalez-lopez@yale.edu.
  • Lipska KJ; School of Public Health, University of Minnesota-Twin Cities, Minneapolis, MN, USA.
  • Denary W; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
  • Schlesinger P; Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA.
  • Esserman D; Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA.
  • Keene D; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
J Gen Intern Med ; 39(9): 1625-1631, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38351417
ABSTRACT

BACKGROUND:

Rental assistance programs have been linked to better housing quality, stability, healthcare access, and reduced likelihood of uncontrolled diabetes. However, its direct association with diabetes screening is uncertain.

OBJECTIVE:

To determine whether federal rental assistance programs are associated with lower odds of undiagnosed diabetes.

DESIGN:

We used a quasi-experimental approach, comparing outcomes among adults receiving rental assistance to those who entered assisted housing within 2 years after their health data were collected. We test the a priori hypothesis that rental assistance will be associated with decreased odds of undiagnosed diabetes.

PARTICIPANTS:

Participants in the National Health and Nutrition Examination Survey 1999-2018 who received rental assistance and who had diabetes. INTERVENTION Current rental assistance participation, including specific housing programs. MAIN

MEASURES:

Undiagnosed diabetes based on having hemoglobin A1c ≥ 6.5% but answering no to the survey question of being diagnosed with diabetes. KEY

RESULTS:

Among 435 eligible adults (median age 54.5 years, female 68.5%, non-Hispanic white 32.5%), 80.7% were receiving rental assistance programs at the time of the interview, and 19.3% went on to receive rental assistance within 2 years. The rates of undiagnosed diabetes were 15.0% and 25.3% among those receiving rental assistance programs vs. those in the future assistance group (p-value = 0.07). In an adjusted logistic regression model, adults receiving rental assistance had lower odds of undiagnosed diabetes (OR 0.52, 95% CI 0.28-0.94) than those in future assistance groups. Sex, race and ethnic group, educational level, and poverty ratio were not significantly associated with having undiagnosed diabetes, but individuals aged 45-64 years had significantly lower odds of undiagnosed diabetes (OR 0.21, 95% CI 0.08-0.53) compared with those aged 18-44.

CONCLUSIONS:

Rental assistance was linked to lower odds of undiagnosed diabetes, suggesting that affordable housing programs can aid in early recognition and diagnosis, which may improve long-term outcomes.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nutrition Surveys / Diabetes Mellitus Type of study: Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Nutrition Surveys / Diabetes Mellitus Type of study: Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States