Cargando…
Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals
Background: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally in tandem with the growing obesity epidemic. However, there is a lack of data on the relationship between historical weight changes 10 years ago and at present on NAFLD prevalence at the populatio...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408006/ https://www.ncbi.nlm.nih.gov/pubmed/36011567 http://dx.doi.org/10.3390/ijerph19169935 |
_version_ | 1784774501796413440 |
---|---|
author | Nah, Benjamin Kai Yi Ng, Cheng Han Chan, Kai En Tan, Caitlyn Aggarwal, Manik Zeng, Rebecca Wenling Xiao, Jieling Chin, Yip Han Tan, Eunice X. X. Ren, Yi Ping Chee, Douglas Neo, Jonathan Chew, Nicholas W. S. Tseng, Michael Siddiqui, Mohammad Shadab Sanyal, Arun J. Dan, Yock Young Muthiah, Mark |
author_facet | Nah, Benjamin Kai Yi Ng, Cheng Han Chan, Kai En Tan, Caitlyn Aggarwal, Manik Zeng, Rebecca Wenling Xiao, Jieling Chin, Yip Han Tan, Eunice X. X. Ren, Yi Ping Chee, Douglas Neo, Jonathan Chew, Nicholas W. S. Tseng, Michael Siddiqui, Mohammad Shadab Sanyal, Arun J. Dan, Yock Young Muthiah, Mark |
author_sort | Nah, Benjamin Kai Yi |
collection | PubMed |
description | Background: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally in tandem with the growing obesity epidemic. However, there is a lack of data on the relationship between historical weight changes 10 years ago and at present on NAFLD prevalence at the population level. Therefore, we sought to evaluate the relationship between weight classes and the prevalence of NAFLD. Methods: Data were used from the United States National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Univariate and multivariate general linear model analyses were used to obtain risk ratio (RR) estimations of NAFLD events. Results: In total, 34,486 individuals were analysed, with those who were lean at both time points as the control group. Overweight (RR: 14.73, 95%CI: 11.94 to 18.18, p < 0.01) or obese (RR: 31.51, 95%CI: 25.30 to 39.25, p < 0.01) individuals at both timepoints were more likely to develop NAFLD. Residual risk exists where previously obese individuals became overweight (RR: 14.72, 95%CI: 12.36 to 17.52, p < 0.01) or lean (RR: 2.46, 95%CI: 1.40 to 4.31, p = 0.02), and previously overweight individuals who became lean (RR 2.24, 95%CI 1.42 to 3.54, p = 0.01) had persistent elevated risk of developing NAFLD despite weight regression. Sensitivity analysis identified that a higher proportion of individuals with regression in weight class were diabetics and Mexican Americans, while fewer African Americans saw weight-class regression. Conclusions: Residual risk exists in patients who lost weight despite the smaller magnitude of effect, and targeted weight reductions should still be used to mitigate the risk of NAFLD at the population level. |
format | Online Article Text |
id | pubmed-9408006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94080062022-08-26 Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals Nah, Benjamin Kai Yi Ng, Cheng Han Chan, Kai En Tan, Caitlyn Aggarwal, Manik Zeng, Rebecca Wenling Xiao, Jieling Chin, Yip Han Tan, Eunice X. X. Ren, Yi Ping Chee, Douglas Neo, Jonathan Chew, Nicholas W. S. Tseng, Michael Siddiqui, Mohammad Shadab Sanyal, Arun J. Dan, Yock Young Muthiah, Mark Int J Environ Res Public Health Article Background: Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease globally in tandem with the growing obesity epidemic. However, there is a lack of data on the relationship between historical weight changes 10 years ago and at present on NAFLD prevalence at the population level. Therefore, we sought to evaluate the relationship between weight classes and the prevalence of NAFLD. Methods: Data were used from the United States National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Univariate and multivariate general linear model analyses were used to obtain risk ratio (RR) estimations of NAFLD events. Results: In total, 34,486 individuals were analysed, with those who were lean at both time points as the control group. Overweight (RR: 14.73, 95%CI: 11.94 to 18.18, p < 0.01) or obese (RR: 31.51, 95%CI: 25.30 to 39.25, p < 0.01) individuals at both timepoints were more likely to develop NAFLD. Residual risk exists where previously obese individuals became overweight (RR: 14.72, 95%CI: 12.36 to 17.52, p < 0.01) or lean (RR: 2.46, 95%CI: 1.40 to 4.31, p = 0.02), and previously overweight individuals who became lean (RR 2.24, 95%CI 1.42 to 3.54, p = 0.01) had persistent elevated risk of developing NAFLD despite weight regression. Sensitivity analysis identified that a higher proportion of individuals with regression in weight class were diabetics and Mexican Americans, while fewer African Americans saw weight-class regression. Conclusions: Residual risk exists in patients who lost weight despite the smaller magnitude of effect, and targeted weight reductions should still be used to mitigate the risk of NAFLD at the population level. MDPI 2022-08-11 /pmc/articles/PMC9408006/ /pubmed/36011567 http://dx.doi.org/10.3390/ijerph19169935 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nah, Benjamin Kai Yi Ng, Cheng Han Chan, Kai En Tan, Caitlyn Aggarwal, Manik Zeng, Rebecca Wenling Xiao, Jieling Chin, Yip Han Tan, Eunice X. X. Ren, Yi Ping Chee, Douglas Neo, Jonathan Chew, Nicholas W. S. Tseng, Michael Siddiqui, Mohammad Shadab Sanyal, Arun J. Dan, Yock Young Muthiah, Mark Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals |
title | Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals |
title_full | Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals |
title_fullStr | Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals |
title_full_unstemmed | Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals |
title_short | Historical Changes in Weight Classes and the Influence of NAFLD Prevalence: A Population Analysis of 34,486 Individuals |
title_sort | historical changes in weight classes and the influence of nafld prevalence: a population analysis of 34,486 individuals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408006/ https://www.ncbi.nlm.nih.gov/pubmed/36011567 http://dx.doi.org/10.3390/ijerph19169935 |
work_keys_str_mv | AT nahbenjaminkaiyi historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT ngchenghan historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT chankaien historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT tancaitlyn historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT aggarwalmanik historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT zengrebeccawenling historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT xiaojieling historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT chinyiphan historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT taneunicexx historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT renyiping historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT cheedouglas historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT neojonathan historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT chewnicholasws historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT tsengmichael historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT siddiquimohammadshadab historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT sanyalarunj historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT danyockyoung historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals AT muthiahmark historicalchangesinweightclassesandtheinfluenceofnafldprevalenceapopulationanalysisof34486individuals |