Developing and refining behaviour-change messages based on the Brazilian dietary guidelines: use of a sequential, mixed-methods approach

Author:

Khandpur NehaORCID,de Morais Sato Priscila,Neto Jose Ribeiro Gouveia,Scagliusi Fernanda,Jaime Patricia Constante

Abstract

Abstract Background Dietary Guidelines are an important tool for population health promotion efforts. However, current surveillance data suggest that only a small minority of the population meet the 2014 Brazilian Dietary Guidelines (BDG) recommendations. Translating recommendations into practice may not be immediately clear and behavior-change messages guiding the behaviors that need to be changed and identifying substitute practices to meet a specific recommendation, are required. This study details the methods undertaken to develop and refine messages supporting the adoption of healthy dietary choices and behaviors in adults, as outlined in the BDG. Methods A sequential, five-step, mixed-methods approach, determined a priori, was followed for designing and refining messages. These included: (1) content extraction; (2) audience analysis; (3) input from an expert review panel; (4) message development and message refinement; and a (5) test of content validity. Results The content extraction process led to the identification of 63 excerpts from the BDG, organized into themes. The audience analysis highlighted barriers to healthy eating that included lack of time (to eat, to cook), difficulty in accessing healthy food, the convenience and the ubiquitous marketing of ultra-processed foods. Twenty of the 63 DG excerpts reviewed by the expert panel were identified as being a priority for message development and total of 111 messages were developed. Messages were short, structured to be one-sided, conveyed the most important information at the beginning (anticlimactic), used simple language and were explicit in the information they relayed. They were positive and gain-framed and used an empathetic, solution- or substitution-based tone and were presented in the active voice. The messages focused on goals and skill development, behavior regulation, incentivized positive practices as time and/or cost saving. Content validity testing helped further messages and reduced the number of messages from 111 to 40. Conclusions This study provides the blue-print for the phase-wise development of messages that synthesize the key recommendations of the food-based BDG and communicate the adoption of behaviors and goals that are consistent with it’s message. It details methods which could be adapted and replicated for message development in other contexts.

Funder

Ministério da Saúde

Publisher

Springer Science and Business Media LLC

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

Reference43 articles.

1. Montagnese C, Santarpia L, Buonifacio M, Nardelli A, Caldara AR, Silvestri E, et al. European food-based dietary guidelines: A comparison and update. Nutrition. 2015;31(7–8):908–15.

2. Jaime PC, da Silva ACF, Gentil PC, Claro RM, Monteiro CA. Brazilian obesity prevention and control initiatives. Obes Rev. 2013;14:88–95.

3. Jaime PC, Tramontt CR, Maia TDM, Gabe KT. Content validity of an educational workshop based on the dietary guidelines for the Brazilian population. Rev Nutr. 2018;31(6):593–602.

4. U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015–2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at https://health.gov/dietaryguidelines/2015/guidelines/.

5. Brazil. Ministry of Health of Brazil. Dietary Guidelines for the Brazilian population. Ministry of Health of Brazil, Secretariat of Health Care, Primary Health Care Department. Brasília: Ministry of Health of Brazil; 2015.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3