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非洲城市食品环境框架:为非洲城市制定健康营养政策和干预措施

The African urban food environment framework for creating healthy nutrition policy and interventions in urban Africa.

机构信息

Department of Geography, University of Sheffield, Sheffield, United Kingdom.

Department of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.

出版信息

PLoS One. 2021 Apr 22;16(4):e0249621. doi: 10.1371/journal.pone.0249621. eCollection 2021.

DOI:10.1371/journal.pone.0249621
PMID:33886599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8061920/
Abstract

This study developed, validated, and evaluated a framework of factors influencing dietary behaviours in urban African food environments, to inform research prioritisation and intervention development in Africa. A multi-component methodology, drawing on concept mapping, was employed to construct a framework of factors influencing dietary behaviours in urban Africa. The framework adapted a widely used socio-ecological model (developed in a high-income country context) and was developed using a mixed-methods research approach that comprised: i. Evidence synthesis consisting of a systematic review of 39 papers covering 14 African countries; ii. Qualitative interview data collected for adolescents and adults (n = 144) using photovoice in urban Ghana and Kenya; and iii. Consultation with interdisciplinary African experts (n = 71) from 27 countries, who contributed to at least one step of the framework (creation, validation/evaluation, finalisation). The final framework included 103 factors influencing dietary behaviours. Experts identified the factors influencing dietary behaviours across all the four levels of the food environment i.e. the individual, social, physical and macro levels. Nearly half (n = 48) were individual-level factors and just under a quarter (n = 26) were at the macro environmental level. Fewer factors associated with social (n = 15) and physical (14) environments were identified. At the macro level, the factors ranked as most important were food prices, cultural beliefs and seasonality. Factors ranked as important at the social level were household composition, family food habits and dietary practices. The type of food available in the neighbourhood and convenience were seen as important at the physical level, while individual food habits, food preferences and socioeconomic status were ranked highly at the individual level. About half of the factors (n = 54) overlap with those reported in an existing socio-ecological food environment framework developed in a high-income country context. A further 49 factors were identified that were not reported in the selected high-income country framework, underlining the importance of contextualisation. Our conceptual framework offers a useful tool for research to understand dietary transitions in urban African adolescents and adults, as well as identification of factors to intervene when promoting healthy nutritious diets to prevent multiple forms of malnutrition.

摘要

本研究构建并验证了一个影响非洲城市食品环境下饮食行为的因素框架,旨在为非洲的研究重点和干预措施制定提供信息。本研究采用多组分方法,借鉴概念图,构建了一个影响非洲城市饮食行为的因素框架。该框架改编自一个广泛使用的社会生态模型(在高收入国家背景下开发),并采用混合方法研究方法开发,包括:i. 系统综述,共纳入 39 篇涵盖 14 个非洲国家的论文;ii. 在加纳和肯尼亚的城市地区,使用照片分享的方法对青少年和成年人(n=144)进行定性访谈;iii. 与来自 27 个国家的 71 名跨学科非洲专家进行协商,这些专家至少参与了框架的一个步骤(创建、验证/评估、最终确定)。最终框架包括影响饮食行为的 103 个因素。专家们在食品环境的所有四个层面(即个体、社会、物理和宏观层面)都确定了影响饮食行为的因素。近一半(n=48)是个体层面的因素,近四分之一(n=26)是宏观环境层面的因素。与社会(n=15)和物理(n=14)环境相关的因素较少。在宏观层面上,排名最高的因素是食品价格、文化信仰和季节性。在社会层面上排名较高的因素是家庭组成、家庭饮食习惯和饮食实践。邻里可获得的食物类型和便利性被认为是物理层面上的重要因素,而个体饮食习惯、食物偏好和社会经济地位在个体层面上排名较高。大约一半的因素(n=54)与在高收入国家背景下开发的现有社会生态食品环境框架中报告的因素重叠,另有 49 个因素在选定的高收入国家框架中没有报告,这强调了背景化的重要性。我们的概念框架为研究提供了一个有用的工具,以了解非洲城市青少年和成年人的饮食转变,以及确定在促进健康营养饮食以预防多种形式营养不良时需要干预的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/7443f56a1097/pone.0249621.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/2c95caefad7b/pone.0249621.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/16e528b119a5/pone.0249621.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/a864c435b888/pone.0249621.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/7443f56a1097/pone.0249621.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/2c95caefad7b/pone.0249621.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/16e528b119a5/pone.0249621.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/a864c435b888/pone.0249621.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3bb/8061920/7443f56a1097/pone.0249621.g004.jpg

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