ArticlePreventing chronic disease2017
Marketing Strategies to Encourage Rural Residents of High-Obesity Counties to Buy Fruits and Vegetables in Grocery Stores.
Article in Preventing chronic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses 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, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Improving Consumption and Purchases of Healthier Foods in Retail Environments: A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- A Systematic Review of the Effect of Retail Food Environment Interventions on Diet and Health with a Focus on the Enabling Role of Public Policies.Current nutrition reports · 2019Pooled it
- Encouraging Healthier Food and Beverage Purchasing and Consumption: A Review of Interventions within Grocery Retail Settings.International journal of environmental research and public health · 2022Review
- Online Pilot Grocery Intervention among Rural and Urban Residents Aimed to Improve Purchasing Habits.International journal of environmental research and public health · 2022Article
- Parents' Perceptions about Salt Consumption in Urban Areas of Peru: Formative Research for a Social Marketing Strategy.Nutrients · 2020Article
- "Then you raise them with Shirchoy or cookies": Understanding influences on delayed dietary diversity among children in Tajikistan.Maternal & child nutrition · 2019Article
- Shaping Future Generations of Public Health Researchers: Preventing Chronic Disease's Student Research Paper Contest.Preventing chronic disease · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
introductionObesity rates in Appalachia are among the highest in the United States, and knowledge of upstream approaches to decrease prevalence among this vulnerable population is limited. The primary aim of this study was to examine the association between healthy, diet-based, social marketing interventions in grocery stores and frequency of fruit and vegetable intake.
methodsA social marketing campaign was conducted among 17 grocery stores (N = 240 participant surveys) over 4 months in 5 rural Kentucky counties. Interventions included providing food samples, recipe cards, and promotional discounts on fruits and vegetables and moving high-calorie foods to side aisles.
resultsMost survey participants reported that recipe cards influenced their desire to purchase ingredients as well as fruits and vegetables in general. Results indicated a significant association between the influence of recipe cards and frequency of fruit and vegetable consumption.
conclusionSmall-scale interventions in grocery stores influenced purchasing choices among Appalachian residents. Working with various store managers and food venues in rural high-obesity communities is a promising way to encourage purchasing of fruits and vegetables.
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.