Patient‑Reported Outcome Measures for Food Preference in Adults: A COSMIN‑Based Systematic Review
Yun-Xia Wang, Ting Liu, Zhi-Shui Wu, Yin-Ying Zhang, Jian-Zheng Cai · 2026
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Description
Yun-Xia Wang and four co-authors systematically reviewed questionnaires that measure food preference in adults, judging how well each tool was built and tested. Food preference steers eating habits, so clinics need measures they can trust when tailoring diet advice. The team searched four databases for studies that first developed or adapted such a self-report tool for adults, then graded them under the COSMIN framework.
Thirty distinct questionnaires turned up. Five stood out with solid evidence for content quality and internal consistency, backed by moderate-to-high certainty. These included tools for Latina women, a Brazilian food choice questionnaire, and two versions of a food liking questionnaire. Others fell short on testing quality. The review gives diet researchers a short list of defensible instruments and shows where better validation work is needed.
Catalog record
| CREATOR | Yun-Xia Wang, Ting Liu, Zhi-Shui Wu, Yin-Ying Zhang, Jian-Zheng Cai |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |