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A Flexible Congregate Meal Program for Older Adults in Hawai'i: A Quasi-Experimental Evaluation of Kūpuna U
Jenny Jinyoung Lee1, Nargis Sultana1, Christy Nishita1
1Thompson School of Social Work & Public Health, University of Hawai'i at Mānoa, 1960 East-West Road, Biomed C-105A, Honolulu, HI 96822, USA.
Abstract:
Background: Food insecurity and social isolation among older adults are pressing public health concerns that significantly impact physical and mental health outcomes. The COVID-19 pandemic exacerbated these challenges while forcing innovative adaptations to traditional congregate meal programs. Objective: This study examined the effectiveness of Kūpuna U, an alternative flexible congregate meal program comprising three models (virtual, hybrid, and traditional), in addressing food insecurity, loneliness, and self-rated health among older adults in Hawai'i. Methods: A quasi-experimental study with non-equivalent groups analyzed secondary program evaluation data. Participants (N = 270, follow-up N = 116) self-selected into virtual (grab-and-go meals + online activities), hybrid (grab-and-go meals + virtual and in-person activities), or traditional (in-person congregate meals + in-person activities) models. Food insecurity (6-item scale), loneliness (UCLA 3-item scale), and self-rated health (5-point scale) were measured at the baseline and 6-month follow-up. Results: The Virtual group showed significant improvements in food insecurity (baseline: 1.73 to follow-up: 0.04, p < 0.001) and self-rated health (baseline: 2.92 to follow-up: 3.72, p = 0.005). The Hybrid group demonstrated a significant increase in loneliness (baseline: 4.25 to follow-up: 5.00, p = 0.024). The Traditional group showed no significant changes in any outcome measures. Analysis of variance (ANOVA) revealed significant between-group differences for food insecurity (F = 9.047, p < 0.001) and self-rated health (F = 5.814, p = 0.004) change scores. Conclusions: The Virtual model demonstrated a superior effectiveness in improving food security and self-rated health outcomes. However, self-selection bias limits causal inferences. These findings suggest that flexible, technology-enhanced nutrition programs may effectively serve older adults with mobility or transportation barriers while maintaining program benefits.
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