Diet contributes to the increasing incidence of chronic diseases. Thus, fast, accurate, and convenient dietary assessment tools are in demand. We designed an internet-based diet and lifestyle questionnaire for Chinese (IDQC).

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Introduction

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Direction for use    

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Data Access Policy

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IDQC Data Download

2012-2019total

It includes the lifestyle, eating habits, average daily food intake, and average daily intake of various nutrients.

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Basic information

Basic information.

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Health condition

Contains the lifestyle and eating habits of the participants.

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Dietary

Contains the average daily intake of various foods for the participants.

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Nutrient

Contains the average daily intake of various nutrients from participating investigators.

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Explanation

Explain the data.

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Code Resource

Code

Contains code that can be used for data extraction, simple correlation analysis, T-test, and logistic regression.

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Data extraction

Use R to extract the required variables from the data table.

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Energy correction

The residual method is used to correct the total energy of the dietary factors.

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Correlation

Use R to do simple correlation analysis between variables, such as Pearson correlation.

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T test

T test.

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Logistic regression

logistic regression.

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