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Predictors of Farmers’ Market Shopping among People Receiving Supplemental Nutrition Assistance Program Benefits
Author(s) -
Freedman Darcy A.,
Lee Eunlye,
OhriVachaspati Punam,
Trapl Erika,
Borawski Elaine,
Bess Kimberly,
Flocke Susan
Publication year - 2018
Publication title -
american journal of community psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.113
H-Index - 112
eISSN - 1573-2770
pISSN - 0091-0562
DOI - 10.1002/ajcp.12245
Subject(s) - supplemental nutrition assistance program , environmental health , poisson regression , leverage (statistics) , health psychology , outreach , medicine , gerontology , multinomial logistic regression , public health , food insecurity , marketing , business , geography , food security , population , agriculture , nursing , economics , archaeology , machine learning , economic growth , computer science
Promoting use of farmers’ markets ( FM s) is a promising community‐level strategy to increase access to nutritious foods such as fruits and vegetables. Yet, FM shopping among people with Supplemental Nutrition Assistance Program ( SNAP ) benefits remains low. This research examined predictors of FM shopping among SNAP recipients living within 1 mile of a FM . A cross‐sectional survey of SNAP participants ( N = 270) was conducted in 2015 in Cleveland and East Cleveland, OH, USA . Multinomial regression and zero‐truncated Poisson regression analyses were conducted to examine factors associated with FM shopping. Results indicate 48% reported shopping at a FM at least once in the past year, 26% had shopped at a FM before, but not in the last year, and 26% had never shopped at a FM . The multivariable analyses found awareness of FM s and a healthy food incentive program, and four dimensions of healthy food access are significantly associated with FM shopping among SNAP recipients. The food access dimensions included service delivery, spatial‐temporal, personal, and social access. Findings highlight modifiable leverage points for improving the reach of FM s among low‐income populations.