Trial reportThe Journal of nutrition2026
Predictors of Redemption among Low-Income, Pregnant Women, Infants, and Children Participants: A Secondary Analysis of a Multicomponent eHealth Behavioral Intervention Study.
Trial report in The Journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThe Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides essential nutrition support to low-income pregnant individuals in the United States, yet food package redemption remains suboptimal. Digital interventions to support lifestyle behavior change may improve benefit utilization during pregnancy.
objectivesThis study aimed to evaluate whether participation in a multicomponent eHealth behavioral intervention influenced WIC food package redemption, the factors associated with redemption, and to explore the relationship between redemption and dietary intake.
methodsThis prespecified secondary analysis used data from a 2-arm randomized controlled trial in which n = 351 pregnant individuals enrolled in WIC were randomly assigned to either a multicomponent eHealth behavioral intervention promoting healthy gestational weight gain plus standard WIC services (n = 179) or standard WIC services alone (n = 172). Food package redemption rates across the intervention period were calculated from electronic benefit transfer data. Aim 1 assessed differences in redemption between study arms and potential effect modifiers. Aim 2 examined individual (e.g., education and race/ethnicity) and environmental (e.g., geospatial food access and neighborhood disadvantage) correlates of redemption regardless of intervention group. Aim 3 explored associations between food redemption and dietary intake assessed via dietary recalls.
resultsRedemption rates were low (∼50%) and did not differ between study arms. However, within the intervention group, adherence to daily self-weighing predicted higher redemption. Higher redemption was also observed in those of older age, having some college education, with obesity, and in non-Hispanic White participants. Environmental indices, including neighborhood deprivation and geospatial food access, did not significantly moderate redemption behaviors. Higher benefit redemption was associated with improved dietary quality.
conclusionsAlthough the multicomponent behavioral intervention did not increase redemption rates overall, individual characteristics, including intervention engagement, age, education, BMI, and race/ethnicity, were predictive of redemption behavior. More targeted interventions that address structural disparities may be needed to enhance WIC benefit utilization during pregnancy.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.