Preventive medicine reports · 2026
Factors associated with discontinued participation in a fruit and vegetable incentive program in Seattle, Washington (United States): The role of community-based organizations in engaging non-English speakers.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Chaparro M Pia, Jung Jong Min, Wallace Jamie, Jones-Smith Jessica, Baquero Barbara, Knox Melissa
Аннотация
OBJECTIVE: To identify factors associated with discontinued participation from Fresh Bucks - a fruit and vegetable (F&V) incentive program in Seattle, WA, USA - two years after initial enrollment, particularly among non-English speakers.
METHODS: Administrative and survey data from first enrollment application (Jan-Mar 2020) and re-application (Jul-Oct 2021) were used to identify program discontinuation (n = 12,813). Linear probability models included age, race/ethnicity, preferred language, enrollment pathway (public vs. community-based organization [CBO]-assisted), F&V consumption (<three times/day, ≥three times/day), household income, presence of children, and food security. Pooled and language-stratified analyses were run.
RESULTS: Rates of program discontinuation were 46% (total), 37.6% (English speakers), and 53.3% (non-English speakers). In pooled analyses, age ≥ 30 years (vs. 18-29); having children; income-to-poverty ratio (IPR) = 100-200% or IPR > 200% (vs. IPR < 100%); being non-Hispanic Asian (vs. non-Hispanic White); speaking Chinese or Spanish (vs. English); and being food secure predicted lower probability of program discontinuation. Being non-Hispanic Black (vs. non-Hispanic White) predicted higher probability of program discontinuation. CBO-assisted enrollment (vs. public) predicted lower probability of discontinuation for non-English speakers (B = -7.3 percentage points, 95%CI = -10.5, -4.1).
CONCLUSIONS: Age, race/ethnicity, preferred language, income, and food security predicted program discontinuation. Community engagement was important for retaining non-English speakers, offering insights for improving retention in F&V incentive programs.
METHODS: Administrative and survey data from first enrollment application (Jan-Mar 2020) and re-application (Jul-Oct 2021) were used to identify program discontinuation (n = 12,813). Linear probability models included age, race/ethnicity, preferred language, enrollment pathway (public vs. community-based organization [CBO]-assisted), F&V consumption (<three times/day, ≥three times/day), household income, presence of children, and food security. Pooled and language-stratified analyses were run.
RESULTS: Rates of program discontinuation were 46% (total), 37.6% (English speakers), and 53.3% (non-English speakers). In pooled analyses, age ≥ 30 years (vs. 18-29); having children; income-to-poverty ratio (IPR) = 100-200% or IPR > 200% (vs. IPR < 100%); being non-Hispanic Asian (vs. non-Hispanic White); speaking Chinese or Spanish (vs. English); and being food secure predicted lower probability of program discontinuation. Being non-Hispanic Black (vs. non-Hispanic White) predicted higher probability of program discontinuation. CBO-assisted enrollment (vs. public) predicted lower probability of discontinuation for non-English speakers (B = -7.3 percentage points, 95%CI = -10.5, -4.1).
CONCLUSIONS: Age, race/ethnicity, preferred language, income, and food security predicted program discontinuation. Community engagement was important for retaining non-English speakers, offering insights for improving retention in F&V incentive programs.