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Short Healthy Eating Index (sHEI)

sHEI is a 22-item survey instrument developed for assessing dietary quality. Unlike the regular HEI calculations, which require collecting comprehensive food records, sHEI is a cost-effective way to quantify dietary quality.

How to Score Your Data in R?

Once your data (data) is cleaned and formatted according to our codebook, you can run this:

data_scored <- sHEI_Scores(data)

By default, the output data frame data_scored will only include the computed variables.

Citation

If you use our sHEI instrument in your research, please cite the following paper:

Colby, S., Zhou, W., Allison, C., Mathews, A. E., Olfert, M. D., Morrell, J. S., Byrd-Bredbenner, C., Greene, G., Brown, O., Kattelmann, K., & Shelnutt, K. (2020). Development and Validation of the Short Healthy Eating Index Survey with a College Population to Assess Dietary Quality and Intake. Nutrients, 12(9), 2611. https://doi.org/10.3390/nu12092611

The DOI link provides the open-access paper with the questionaire and its scoring algorithm documented in its appendix.

Input and Output

sHEI Input Data Formatting Requirements

To score sHEI, we require the following variables and encoding:

sHEI Output Variables

The output of our sHEI code is a data frame that includes estimated HEI component and total scores and certain food group intakes.

Estimates of component and total HEI scores are:

Estimates of food group intakes are: