ArticleJournal of human nutrition and dietetics : the official journal of the British Dietetic Association2023
Food prescription pilots: feasibility, acceptability and affordability of improving diet through menu planning and grocery delivery.
Article in Journal of human nutrition and dietetics : the official journal of the British Dietetic Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 7 citations in OpenAlex.
- A randomized controlled study comparing three food prescription programs for older adults: program design, implementation, and utilization.Frontiers in public health · 2026Trial
- Development of a statewide network hub for screening, referral, and enrollment into food as medicine programs across Kentucky.Frontiers in public health · 2024Trial
- An Affordable and Sustainable Thrifty-Like Meal Plan, FoodRx, That Meets the Recommended Dietary Allowances.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundLack of adherence is a primary reason people fail to maintain a healthy diet or lose weight. Multiple environmental factors, including aggressive marketing and convenience of nutrient-poor food, undermine people's best intentions. The aim was to assess the feasibility, acceptability and impact of food prescriptions in which participants' exposure to commercial food outlets is reduced, because the groceries are delivered with weekly menu plans and recipes.
methodsThis is a series of pre-post pilot proof-of-concept studies. We recruited 37 members of Kaiser Permanente interested in improving their diet or losing weight. Weekly meal plans meeting more than 90% of recommended dietary allowances were designed to be low cost, in line with Supplemental Nutrition Assistance Program (SNAP) allowances. Five separate pilots targeted different populations. Participants were required to provide 24-h dietary recalls (ASA24) before and during the interventions. Weight management pilot participants had height, weight and blood pressure measured before and after 4-week pilots and followed sustainability guidelines, limiting meat and dairy.
resultsAcross pilots, the healthy eating index improved (+21.1 points; 95% CI [confidence interval] 15.9, 26.3). For the weight management pilots, most participants lost weight (average 10.3 lbs for men, 5.7 lbs for women; 95% CI -10.2, -5.4). The majority of participants liked the programme and considered it the easiest weight loss programme they ever tried.
conclusionsThese pilots suggest that meal planning and grocery delivery can be affordable and acceptable and could ultimately have a major impact on diet-related chronic diseases. Longer-term studies are needed to confirm how long compliance will endure.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.