Faytong-Haro Marco, Quijano-Ruiz Alonso, Sanchez Daniel, Alvarez-Munoz Patricio, Gallegos-Caamaño Stephanie, Yambay-Delgado Victor, Checa Karina, Delgado-Rendón María José, Angulo-Prado Andrea
Facultad de Ciencias de la Salud, Universidad Espíritu Santo, Samborondon, Ecuador.
Research Department, Ecuadorian Development Research Lab, Daule, Ecuador.
Front Public Health. 2024 Dec 24;12:1420310. doi: 10.3389/fpubh.2024.1420310. eCollection 2024.
Malnutrition is an escalating concern in low-and-middle-income countries (LMICs), including Ecuador, particularly within rural settings. To address this issue, food forests emerge as a promising intervention. This research protocol outlines a controlled intervention in the province of Santa Elena, aiming to evaluate the efficacy of a food forest in enhancing nutritional outcomes, with potential implications for broader replication. The study will be conducted in the Colonche Parish of Santa Elena Canton, where one commune will be randomly selected to receive the food forest intervention. In contrast, another similarly characterized commune, also randomly selected through cluster-based sampling, will serve as a control group, receiving no intervention. This randomized, comparative approach will enable a more precise assessment of the food forest's impact. Data collection will occur at three intervals: baseline, 6 months, and 12 months post-intervention. Comprehensive questionnaires will be employed to measure the food forest's influence on the communities' nutritional, economic, and health metrics, distinguishing between the intervention and control communes to elucidate the intervention's specific effects.
营养不良在包括厄瓜多尔在内的低收入和中等收入国家(LMICs)中日益受到关注,尤其是在农村地区。为了解决这个问题,食物森林成为一种有前景的干预措施。本研究方案概述了在圣埃伦娜省进行的一项对照干预,旨在评估食物森林在改善营养结果方面的功效,并对更广泛的推广具有潜在意义。该研究将在圣埃伦娜县的科隆切教区进行,将随机选择一个社区接受食物森林干预。相比之下,另一个通过基于集群的抽样随机选择的、特征相似的社区将作为对照组,不接受任何干预。这种随机对照方法将能够更精确地评估食物森林的影响。数据收集将在三个时间点进行:基线、干预后6个月和12个月。将采用综合问卷来衡量食物森林对社区营养、经济和健康指标的影响,区分干预社区和对照社区以阐明干预的具体效果。