Who Are the Long-Term and Short-Term Users of Meals on Wheels Services in the 65+ US Population?

This study identifies the long-term and short-term users of home-delivered meals, i.e., Meals on Wheels (MOW) services, and how they differ across socioeconomic and health status. The analysis relies on a nationally representative sample of 65+ Medicare beneficiaries from the 2013-2021 National Health and Aging Trends Study. A fixed effect multinomial logit model, with lagged indicators and complex survey design, predicts the probabilities of being a short-term (1 year or less) or long-term (2+ years) MOW client. Beneficiaries' characteristics predictive of long-term MOW use include identifying as Black, being on Medicaid, pre-frail, and having 2+ IADL limitations. Medicaid enrollment is one of the few statistically significant predictors for short-term MOW use. These results reveal that long-term MOW users are more heterogeneous and vulnerable than short-term users. Understanding the reasons various individuals rely on MOW services for multiple years may inform policy on the social and care needs of older adults.

Authors

Institutions

Publication Details

Journal
Journal of Applied Gerontology
Published
2026-05-13
DOI
https://doi.org/10.1177/07334648261449527
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Who Are the Long-Term and Short-Term Users of Meals on Wheels Services in the 65+ US Population?

Jennifer Chubinski, Sarah E. Walsh, France Weaver
Journal of Applied Gerontology
Food Security and Health in Diverse Populations
article

Who Are the Long-Term and Short-Term Users of Meals on Wheels Services in the 65+ US Population?

Jennifer Chubinski, Sarah E. Walsh, France Weaver
article en

Abstract

This study identifies the long-term and short-term users of home-delivered meals, i.e., Meals on Wheels (MOW) services, and how they differ across socioeconomic and health status. The analysis relies on a nationally representative sample of 65+ Medicare beneficiaries from the 2013-2021 National Health and Aging Trends Study. A fixed effect multinomial logit model, with lagged indicators and complex survey design, predicts the probabilities of being a short-term (1 year or less) or long-term (2+ years) MOW client. Beneficiaries' characteristics predictive of long-term MOW use include identifying as Black, being on Medicaid, pre-frail, and having 2+ IADL limitations. Medicaid enrollment is one of the few statistically significant predictors for short-term MOW use. These results reveal that long-term MOW users are more heterogeneous and vulnerable than short-term users. Understanding the reasons various individuals rely on MOW services for multiple years may inform policy on the social and care needs of older adults.

Journal of Applied Gerontology
James Madison University (US), Eastern Michigan University (US)
National Institute on Aging
No poverty
Openalex Percentile: Top 5%
Food Security and Health in Diverse Populations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.