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Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery
The National Health and Nutrition Examination Survey (NHANES) provides data on the health and environmental exposure of the non-institutionalized US population. Such data have considerable potential to understand how the environment and behaviors impact human health. These data are also currently le...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934713/ https://www.ncbi.nlm.nih.gov/pubmed/36798185 http://dx.doi.org/10.1101/2023.02.06.23284573 |
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author | Nguyen, Vy Kim Middleton, Lauren Y. M. Huang, Lei Zhao, Neil Verly, Eliseu Kvasnicka, Jacob Sagers, Luke Patel, Chirag J. Colacino, Justin Jolliet, Olivier |
author_facet | Nguyen, Vy Kim Middleton, Lauren Y. M. Huang, Lei Zhao, Neil Verly, Eliseu Kvasnicka, Jacob Sagers, Luke Patel, Chirag J. Colacino, Justin Jolliet, Olivier |
author_sort | Nguyen, Vy Kim |
collection | PubMed |
description | The National Health and Nutrition Examination Survey (NHANES) provides data on the health and environmental exposure of the non-institutionalized US population. Such data have considerable potential to understand how the environment and behaviors impact human health. These data are also currently leveraged to answer public health questions such as prevalence of disease. However, these data need to first be processed before new insights can be derived through large-scale analyses. NHANES data are stored across hundreds of files with multiple inconsistencies. Correcting such inconsistencies takes systematic cross examination and considerable efforts but is required for accurately and reproducibly characterizing the associations between the exposome and diseases. Thus, we developed a set of curated and unified datasets and accompanied code by merging 614 separate files and harmonizing unrestricted data across NHANES III (1988-1994) and Continuous (1999-2018), totaling 134,310 participants and 4,740 variables. The variables convey 1) demographic information, 2) dietary consumption, 3) physical examination results, 4) occupation, 5) questionnaire items (e.g., physical activity, general health status, medical conditions), 6) medications, 7) mortality status linked from the National Death Index, 8) survey weights, 9) environmental exposure biomarker measurements, and 10) chemical comments that indicate which measurements are below or above the lower limit of detection. We also provide a data dictionary listing the variables and their descriptions to help researchers browse the data. We also provide R markdown files to show example codes on calculating summary statistics and running regression models to help accelerate high-throughput analysis and secular trends of the exposome. [Table: see text] |
format | Online Article Text |
id | pubmed-9934713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-99347132023-02-17 Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery Nguyen, Vy Kim Middleton, Lauren Y. M. Huang, Lei Zhao, Neil Verly, Eliseu Kvasnicka, Jacob Sagers, Luke Patel, Chirag J. Colacino, Justin Jolliet, Olivier medRxiv Article The National Health and Nutrition Examination Survey (NHANES) provides data on the health and environmental exposure of the non-institutionalized US population. Such data have considerable potential to understand how the environment and behaviors impact human health. These data are also currently leveraged to answer public health questions such as prevalence of disease. However, these data need to first be processed before new insights can be derived through large-scale analyses. NHANES data are stored across hundreds of files with multiple inconsistencies. Correcting such inconsistencies takes systematic cross examination and considerable efforts but is required for accurately and reproducibly characterizing the associations between the exposome and diseases. Thus, we developed a set of curated and unified datasets and accompanied code by merging 614 separate files and harmonizing unrestricted data across NHANES III (1988-1994) and Continuous (1999-2018), totaling 134,310 participants and 4,740 variables. The variables convey 1) demographic information, 2) dietary consumption, 3) physical examination results, 4) occupation, 5) questionnaire items (e.g., physical activity, general health status, medical conditions), 6) medications, 7) mortality status linked from the National Death Index, 8) survey weights, 9) environmental exposure biomarker measurements, and 10) chemical comments that indicate which measurements are below or above the lower limit of detection. We also provide a data dictionary listing the variables and their descriptions to help researchers browse the data. We also provide R markdown files to show example codes on calculating summary statistics and running regression models to help accelerate high-throughput analysis and secular trends of the exposome. [Table: see text] Cold Spring Harbor Laboratory 2023-02-08 /pmc/articles/PMC9934713/ /pubmed/36798185 http://dx.doi.org/10.1101/2023.02.06.23284573 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Nguyen, Vy Kim Middleton, Lauren Y. M. Huang, Lei Zhao, Neil Verly, Eliseu Kvasnicka, Jacob Sagers, Luke Patel, Chirag J. Colacino, Justin Jolliet, Olivier Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery |
title | Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery |
title_full | Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery |
title_fullStr | Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery |
title_full_unstemmed | Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery |
title_short | Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery |
title_sort | harmonized us national health and nutrition examination survey 1988-2018 for high throughput exposome-health discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934713/ https://www.ncbi.nlm.nih.gov/pubmed/36798185 http://dx.doi.org/10.1101/2023.02.06.23284573 |
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