Next Article in Journal
Aqueous Extract of Fructus Choerospondiatis Peel Suppresses Vascular Inflammation and Alleviates Atherosclerosis via AKT/c-FOS/IL-6 Axis
Previous Article in Journal
Effects of Resveratrol on Browning and Insulin Signaling in Primary Murine Adipocytes: Modulation by Sex and Diabetic Status
Previous Article in Special Issue
Changes in Body Weight Perception, Lifestyle Habits, and Health Awareness in Croatia: A Comparative Population Survey (2022–2024)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Protocol

NutriWomen, Novel Evidence-Based Web Platform to Support Women’s Health, Nutrition Decisions and Address Nutrition Misinformation on Social Media: Protocol for a Digital Tool Development

by
Mireia Bosch Pujadas
1,†,
Andreu Prados-Bo
2,†,
Alessandra Wagner
3,
Bradley C. Johnston
4,
Andreu Farran-Codina
1 and
Montserrat Rabassa
1,5,*
1
Department of Nutrition, Food Sciences and Gastronomy, Nutrition and Food Safety Research Institute (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona (UB), 08028 Barcelona, Spain
2
Blanquerna School of Health Sciences, Universitat Ramon Llull, 08025 Barcelona, Spain
3
Department of Nutrition, Food Sciences and Gastronomy, Faculty of Pharmacy and Food Sciences, University of Barcelona (UB), 08028 Barcelona, Spain
4
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, TX 77840, USA
5
CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Nutrients 2026, 18(1), 20; https://doi.org/10.3390/nu18010020 (registering DOI)
Submission received: 12 November 2025 / Revised: 9 December 2025 / Accepted: 16 December 2025 / Published: 19 December 2025

Abstract

Background: Social media, especially Instagram, spreads nutrition-related information that often lacks scientific rigor. Many women report feeling inadequately informed about women’s health by healthcare professionals, turning to social media, increasing exposure to misinformation. Objectives: The NutriWomen platform aims to assess the quality, methodological soundness, and credibility of nutritional health claims and dietary recommendations on Instagram targeting women across different life stages. Its goal is to develop a systematic and scientifically grounded evaluation framework to assess Instagram nutrition-related claims and the methodological quality and interpretability of their supporting evidence, and to translate the results into accessible outputs that help women make informed nutrition decisions across life stages. Methods: This study follows a five-stage design Stage 1 involves a retrospective content analysis of Instagram posts containing nutrition-related claims targeted at women, identified through the “Top posts” function and screened using predefined criteria. Stage 2 assesses information quality using a validated 14-item tool. Stage 3 evaluates the scientific accuracy of claims by formulating PI(E)CO(TS) questions, selecting key outcomes, retrieving evidence from PubMed and the Cochrane Database, and appraising systematic reviews with a modified AMSTAR-2 tool incorporating GRADE ratings, when available. Stage 4 develops the NutriWomen website platform to translate assessments into accessible visual summaries. Stage 5 conducts a mixed-methods study with peri-, meno-, and postmenopausal women to explore information needs and evaluate platform usability through focus groups. Conclusions: The NutriWomen platform will be the first website to systematically publish the results of evaluations assessing the scientific quality of nutritional health claims on Instagram targeted at women across different life stages. It will provide a replicable methodology, and a digital tool designed to empower women with trustworthy nutrition information, with the potential to enhance health literacy and promote better health outcomes.
Keywords: evidence-based nutrition; women’s health; health literacy; health services research; public health; media content analysis evidence-based nutrition; women’s health; health literacy; health services research; public health; media content analysis

Share and Cite

MDPI and ACS Style

Bosch Pujadas, M.; Prados-Bo, A.; Wagner, A.; Johnston, B.C.; Farran-Codina, A.; Rabassa, M. NutriWomen, Novel Evidence-Based Web Platform to Support Women’s Health, Nutrition Decisions and Address Nutrition Misinformation on Social Media: Protocol for a Digital Tool Development. Nutrients 2026, 18, 20. https://doi.org/10.3390/nu18010020

AMA Style

Bosch Pujadas M, Prados-Bo A, Wagner A, Johnston BC, Farran-Codina A, Rabassa M. NutriWomen, Novel Evidence-Based Web Platform to Support Women’s Health, Nutrition Decisions and Address Nutrition Misinformation on Social Media: Protocol for a Digital Tool Development. Nutrients. 2026; 18(1):20. https://doi.org/10.3390/nu18010020

Chicago/Turabian Style

Bosch Pujadas, Mireia, Andreu Prados-Bo, Alessandra Wagner, Bradley C. Johnston, Andreu Farran-Codina, and Montserrat Rabassa. 2026. "NutriWomen, Novel Evidence-Based Web Platform to Support Women’s Health, Nutrition Decisions and Address Nutrition Misinformation on Social Media: Protocol for a Digital Tool Development" Nutrients 18, no. 1: 20. https://doi.org/10.3390/nu18010020

APA Style

Bosch Pujadas, M., Prados-Bo, A., Wagner, A., Johnston, B. C., Farran-Codina, A., & Rabassa, M. (2026). NutriWomen, Novel Evidence-Based Web Platform to Support Women’s Health, Nutrition Decisions and Address Nutrition Misinformation on Social Media: Protocol for a Digital Tool Development. Nutrients, 18(1), 20. https://doi.org/10.3390/nu18010020

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop