ArticleNutrition and metabolic insights2020
Social Network Intervention Reduces Added Sugar Intake Among Baltimore Public Housing Residents: A Feasibility Study.
Article in Nutrition and metabolic insights, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Components in downstream health promotions to reduce sugar intake among adults: a systematic review.Nutrition journal · 2024Pooled it
- A digital behavioral intervention to reduce sugar-sweetened beverage consumption: a randomized, controlled trial.The American journal of clinical nutrition · 2025Trial
- Predicting social network homophily on common chronic disease risk behaviors among public housing residents.BMC public health · 2025Article
- Perceptions of dietary sugar consumption among public housing residents using a modified qualitative photovoice methodology.BMC public health · 2025Article
- Photo-Enhanced Health Promotion Messages to Target Reduction in Dietary Sugar among Residents of Public Housing.Nutrients · 2023Article
- Community health worker-delivered weight management intervention among public housing residents: A feasibility study.Preventive medicine reports · 2021Article
- Social network factors and cardiovascular health among baltimore public housing residents.Preventive medicine reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Public housing residents have high intake of added sugars, which is associated with sugar-sweetened beverage (SSB) consumption in their social networks. In this feasibility study, we designed and tested a network-oriented intervention to decrease added sugar intake by encouraging reduced SSB consumption. We conducted a 6-month single-arm trial testing a small-group curriculum (9 sessions) that combined behavior change strategies to reduce added sugar intake by promoting SSB reduction with a peer outreach approach. We recruited and trained public housing residents to be "Peer Educators," who then communicated information and made changes to reduce SSB with their network members. We calculated the median number of group sessions attended and determined the percentage of individuals satisfied with the program. We estimated added sugar intake using a 5-factor dietary screener and compared baseline and 6-month median values using Wilcoxon signed rank tests. We recruited 17 residents and 17 of their network members (n = 34). Mean age was 45.7 years, 79.4% were women, and 97.1% were African American. Median number of sessions attended was 9 (interquartile range: 4-9), and 88.2% were very satisfied with the program. Overall, baseline median added sugar intake was 38.0 tsp/day, which significantly declined to 17.2 tsp/day at 6 months (
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.