{
  "abstract": "Background Food insecurity is associated with worse diabetes outcomes, but how that association may vary across individuals is unclear. We sought to better understand possible heterogeneity in the association between food insecurity and diabetes outcomes.Methods Longitudinal cohort study of adults with type 2 diabetes assessed for food insecurity in community-based health centres. Diabetes outcomes were haemoglobin A1c (HbA1c), systolic and diastolic blood pressure, and low-density lipoprotein cholesterol (LDL), 12 months after food insecurity assessment. We used three machine learning methods (generalised random forest (GRF), X-Learner and Doubly Robust Learner) to assess outcome heterogeneity across the following variables: age, sex, race and ethnicity, health insurance, income, comorbidity, baseline outcome and social vulnerability index.Results Among 41 581 individuals (mean age 56.2 (SD: 12.8) years, 56.9% female), mean baseline HbA1c was 7.8% (SD: 1.9%) and 10 399 (25.0%) reported food insecurity. Food insecurity was associated with 0.1% greater HbA1c at 12 months, with little heterogeneity. For example, using GRF, the mean difference in HbA1c in the quartile with the lowest estimated HbA1c difference associated with experiencing, versus not experiencing, food insecurity was 0.0%, while the mean difference in the quartile with the greatest estimated difference was 0.2%. Results were similar for other outcomes, except that there was no association between food insecurity and LDL.Conclusions In this study, we did not observe meaningful heterogeneity in the associations between food insecurity and diabetes outcomes.",
  "authors": [
    {
      "affiliations": [
        "Division of General Medicine and Clinical Epidemiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA",
        "Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA",
        "Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"
      ],
      "name": "Seth A Berkowitz"
    },
    {
      "affiliations": [
        "Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"
      ],
      "name": "Mufeng Gao"
    },
    {
      "affiliations": [
        "Department of Research, OCHIN, Portland, Oregon, USA"
      ],
      "name": "Aileen Ochoa"
    },
    {
      "affiliations": [
        "Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"
      ],
      "name": "Marlena L Kuhn"
    },
    {
      "affiliations": [
        "Department of Research, OCHIN, Portland, Oregon, USA"
      ],
      "name": "Jenine Dankovchik"
    },
    {
      "affiliations": [
        "Department of Research, OCHIN, Portland, Oregon, USA"
      ],
      "name": "Jenna M Donovan"
    },
    {
      "affiliations": [
        "Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA",
        "Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"
      ],
      "name": "Myklynn LaPoint"
    },
    {
      "affiliations": [
        "Waymark Care, San Francisco, California, USA"
      ],
      "name": "Sanjay Basu"
    },
    {
      "affiliations": [
        "Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA"
      ],
      "name": "Michael G Hudgens"
    },
    {
      "affiliations": [
        "Department of Research, OCHIN, Portland, Oregon, USA",
        "Kaiser Permanente Northwest Center for Health Research, Portland, Oregon, USA"
      ],
      "name": "Rachel Gold"
    }
  ],
  "title": "Heterogeneity in associations between food insecurity and diabetes outcomes",
  "uid": "4f9e6d3e-1b2c-5492-9ceb-a63ba2f966de"
}