Handling missing data in an FFQ: multiple imputation and nutrient intake estimates.

ABSTRACT:

Objective

We aimed to examine missing data in FFQ and to assess the effects on estimating dietary intake by comparing between multiple imputation and zero imputation.

Design

We used data from the Okazaki Japan Multi-Institutional Collaborative Cohort (J-MICC) study. A self-administered questionnaire including an FFQ was implemented at baseline (FFQ1) and 5-year follow-up (FFQ2). Missing values in FFQ2 were replaced by corresponding FFQ1 values, multiple imputation and zero imputation.

Setting

A methodological sub-study of the Okazaki J-MICC study.ParticipantsOf a total of 7585 men and women aged 35-79 years at baseline, we analysed data for 5120 participants who answered all items in FFQ1 and at least 50% of items in FFQ2.

Results

Among 5120 participants, the p

SUBMITTER: Ichikawa M 

PROVIDER: S-EPMC10260937 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature