Objective: Gather perspectives on healthy retail policies and strategies from a national sample of Supplemental Nutrition Assistance Program (SNAP) participants.
Design: Anonymous web-based survey fielded in English and Spanish. The survey measured support for healthy retail policies and strategies.
Setting: National Qualtrics panel fielded on September 30 and October 19, 2022.
Participants: A total of 1,559 adult SNAP participants (in the last 12 months) participated in the Qualtrics SNAP survey panel.
Variables Measured: Overall support for retail policies and strategies was calculated using response frequencies and proportions.
Analysis: Cross-tabulations and chi-square tests of independence assessed differences in policy support by online shopping behavior and nutrition security status. Significance was determined at P < 0.05.
Results: Most SNAP participants were broadly supportive of policies and strategies to improve the healthy food retail environment. More restrictive policies were less popular than policies that expanded consumer choice. Support also varied by online shopping status and nutrition security status.
Conclusions And Implications: Policies and strategies that improve the healthy food retail environment are popular among a national sample of SNAP participants. Policy discussions must understand SNAP participants' perspectives regarding changes to the retail environment that may impact their ability to access healthy foods.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jneb.2024.06.001 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Department of Fisheries, University of Rajshahi, Rajshahi, 6205, Bangladesh.
The lesser spiny eel, Macrognathus aculeatus (Bloch, 1786), holds substantial economic importance as a food fish in South Asia, due to its exceptional nutritional value. This study was conducted to investigate the reproductive ecology of M. aculeatus within the Gajner beel wetland ecosystem in northwestern Bangladesh, with a specific focus on size at sexual maturity, spawning season, and fecundity in relation to eco-climatic variables.
View Article and Find Full Text PDFEur J Epidemiol
January 2025
Health Sciences North Research Institute, Sudbury, ON, Canada.
Background: Opioid Agonist Treatment (OAT) is the most effective intervention for opioid use disorder (OUD), but retention has decreased due to increasingly potent drugs like fentanyl. This cohort can be used retrospectively to observe trends in service utilization, healthcare integration, healthcare costs and patient outcomes. It also facilitates the design of observational studies to mimic a prospective design.
View Article and Find Full Text PDFEur J Phys Rehabil Med
January 2025
Rehabilitation Program, Department for Noncommunicable Diseases, Rehabilitation and Disability, World Health Organization, Geneva, Switzerland.
Cochrane Rehabilitation and the World Health Organization (WHO) Rehabilitation Program are collaborating to produce four Cochrane overviews of systematic reviews that synthesize the current evidence from health policy and systems research (HPSR) in rehabilitation. They will focus on the four pillars of HPSR identified by the Cochrane Effective Practice and Organization of Care (EPOC) taxonomy: delivery arrangements, financial arrangements, governance arrangements, and implementation strategies. The protocol describes why HPSR is currently needed in rehabilitation, provides detailed information on the four EPOC pillars in interaction with rehabilitation and reports the Cochrane methods that will be followed to produce the overviews.
View Article and Find Full Text PDFGeospat Health
January 2025
Faculty of Public Health, Khon Kaen University, Khon Kaen.
Antibiotic Self-Medication (ASM) is a major contributing factor to Antimicrobial Resistance (AMR) that can lead to both mortality and long-term hospitalizations. High provincial ASM proportions associated with mortality due to AMR have been observed in Thailand but there is a lack of studies on geographic factors contributing to ASM. The present study aimed to quantify the distribution of ASM in Thailand and its correlated factors.
View Article and Find Full Text PDFTransl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!