Seth A Berkowitz1,2, Deepak Palakshappa3,4,5, Hilary K Seligman6,7, Janel Hanmer8. 1. Division of General Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, 5034 Old Clinic Bldg, CB 7110, Chapel Hill, NC, 27599, USA. seth_berkowitz@med.unc.edu. 2. Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. seth_berkowitz@med.unc.edu. 3. Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA. 4. Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA. 5. Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA. 6. Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA. 7. Center for Vulnerable Populations at San Francisco General Hospital & Trauma Center, San Francisco, CA, USA. 8. Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Abstract
BACKGROUND: Cross-sectional studies have found that health-related quality of life and mental health are worse among food-insecure compared with food-secure individuals. However, how these outcomes change as food insecurity changes is unclear. OBJECTIVE: To evaluate how common patient-reported health-related quality of life and mental health scales change in response to changes in food security. DESIGN: Retrospective cohort study using data representative of the civilian, adult, non-institutionalized population of the USA. PARTICIPANTS: Food insecure adults who completed the 2016-2017 Medical Expenditure Panel Survey. MAIN MEASURES: Mental health, as measured by the mental component score of the Veterans Rand 12-Item Health Survey (VR-12) (primary outcome), along physical health (physical component score of the VR-12), self-rated health status, psychological distress (Kessler 6), depressive symptoms (PHQ2), and the SF-6D measure of health utility. We fit linear regression models adjusted for baseline outcome level, age, gender, race/ethnicity, education, health insurance, and family size followed by predictive margins to estimate the change in outcome associated with a 1-point improvement in food security. KEY RESULTS: A total of 1,390 food-insecure adults were included. A 1-point improvement in food security was associated with a 0.38 (95%CI 0.62 to 0.14)-point improvement in mental health, a 0.15 (95%CI 0.02 to 0.27)-point improvement in psychological distress, a 0.05 (95%CI 0.01 to 0.09)-point improvement in depressive symptoms, and a 0.003 (95%CI 0.000 to 0.007)-point improvement in health utility. Point estimates for physical health and self-rated health were in the direction of improvement, but were not statistically significant. CONCLUSIONS: Improvement in food insecurity was associated with improvement in several patient-reported outcomes. Further work should investigate whether similar changes are seen in food insecurity interventions, and the most useful scales for assessing changes in health-related quality of life and mental health in food insecurity interventions.
BACKGROUND: Cross-sectional studies have found that health-related quality of life and mental health are worse among food-insecure compared with food-secure individuals. However, how these outcomes change as food insecurity changes is unclear. OBJECTIVE: To evaluate how common patient-reported health-related quality of life and mental health scales change in response to changes in food security. DESIGN: Retrospective cohort study using data representative of the civilian, adult, non-institutionalized population of the USA. PARTICIPANTS: Food insecure adults who completed the 2016-2017 Medical Expenditure Panel Survey. MAIN MEASURES: Mental health, as measured by the mental component score of the Veterans Rand 12-Item Health Survey (VR-12) (primary outcome), along physical health (physical component score of the VR-12), self-rated health status, psychological distress (Kessler 6), depressive symptoms (PHQ2), and the SF-6D measure of health utility. We fit linear regression models adjusted for baseline outcome level, age, gender, race/ethnicity, education, health insurance, and family size followed by predictive margins to estimate the change in outcome associated with a 1-point improvement in food security. KEY RESULTS: A total of 1,390 food-insecure adults were included. A 1-point improvement in food security was associated with a 0.38 (95%CI 0.62 to 0.14)-point improvement in mental health, a 0.15 (95%CI 0.02 to 0.27)-point improvement in psychological distress, a 0.05 (95%CI 0.01 to 0.09)-point improvement in depressive symptoms, and a 0.003 (95%CI 0.000 to 0.007)-point improvement in health utility. Point estimates for physical health and self-rated health were in the direction of improvement, but were not statistically significant. CONCLUSIONS: Improvement in food insecurity was associated with improvement in several patient-reported outcomes. Further work should investigate whether similar changes are seen in food insecurity interventions, and the most useful scales for assessing changes in health-related quality of life and mental health in food insecurity interventions.
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