Reproducibility and validity of an FFQ in the Henan Rural Cohort Study.

Clicks: 254
ID: 31823
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #37 of 59 articles by views in public health nutrition

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The present study aimed to evaluate the validity and reproducibility of a thirteen-item FFQ regarding identification of dietary conditions in a rural population in China.A reproducibility study repeated the first FFQ (FFQ1) approximately 4 weeks later (FFQ2). A validity study evaluated the mean of three consecutive 24 h diet recalls as the reference measure.Cross-sectional study.Residents of a rural area in Henan Province, which is located in the central region of China.A total of 295 individuals participated in the reproducibility study. In addition, 123 people agreed to participate in the validity study. Spearman's correlation coefficients between the two FFQ ranged from 0·06 (vegetables) to 0·58 (eggs). Spearman's correlation coefficients between the two methods of collection ranged from 0·01 for cereal to 0·49 for staple foods. The mean of the intraclass correlation coefficients of the two FFQ (FFQ1 v. FFQ2) was 0·19. Bland-Altman analysis indicated good agreement for most food groups across the range of intake for the two studies.The study demonstrated that our FFQ design could be used as a representative tool to conduct a dietary evaluation of a rural population.
Reference Key
xue2019reproducibilitypublic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Xue, Yuan;Yang, Kaili;Wang, Bingya;Liu, Chang;Mao, Zhenxing;Yu, Songcheng;Li, Xing;Wang, Yan;Sun, Hualei;Wang, Chongjian;Li, Wenjie;
Journal public health nutrition
Year 2019
DOI
10.1017/S1368980019002416
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.