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Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey
OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) is a major public health burden in China, and its prevalence is increasing. This study aimed to determine the risk factors and biomarkers of NAFLD. DESIGN: An observational cross-sectional primary survey. SETTING: Central China. PARTICIPANTS: The...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892783/ https://www.ncbi.nlm.nih.gov/pubmed/29626047 http://dx.doi.org/10.1136/bmjopen-2017-019974 |
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author | Hu, Xiao-Yu Li, Yun Li, Long-Quan Zheng, Yuan Lv, Jia-Hong Huang, Shu-Chun Zhang, Weinong Liu, Liang Zhao, Ling Liu, Zhuiguo Zhao, Xiu-Ju |
author_facet | Hu, Xiao-Yu Li, Yun Li, Long-Quan Zheng, Yuan Lv, Jia-Hong Huang, Shu-Chun Zhang, Weinong Liu, Liang Zhao, Ling Liu, Zhuiguo Zhao, Xiu-Ju |
author_sort | Hu, Xiao-Yu |
collection | PubMed |
description | OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) is a major public health burden in China, and its prevalence is increasing. This study aimed to determine the risk factors and biomarkers of NAFLD. DESIGN: An observational cross-sectional primary survey. SETTING: Central China. PARTICIPANTS: The study included 1479 participants aged over 18 and below 80 years, not currently being treated for cancer or infectious disease or no surgery in the previous year, and no history of cancer or an infectious disease. Participants underwent clinical examination, metabolomic assay and anthropometric assessment. Univariate and logistic regression analyses were used to evaluate associations between covariates and NAFLD. MAIN OUTCOME MEASURES: Risk factors and metabolic biomarkers including sex, body mass index, hypertension, body fat ratio, blood triglycerides, blood fasting glucose, liver enzyme elevation, uric acid and oleic acid-hydroxy oleic acid (OAHOA). RESULTS: Data from the 447 participants (mean age 44.3±11.9 years) were analysed, and the prevalence of NAFLD was 24.7%. Male sex (OR 3.484, 95% CI 2.028 to 5.988), body mass index ≥24 kg/m(2) (OR 8.494, 95% CI 5.581 to 12.928), body fat ratio (≥25 for women, ≥20 for men) (OR 1.833, 95% CI 1.286 to 2.756), triglycerides ≥1.7 mmol/L (OR 1.340, 95% CI 1.006 to 1.785), fasting glucose ≥6.1 mmol/L (OR 3.324, 95% CI 1.888 to 5.850), blood pressure ≥140/90 mm Hg or antihypertensive drug treatment (OR 1.451, 95% CI 1.069 to 1.970), uric acid (≥357 μmol/L for women, ≥416 μmol/L for men) (OR 2.755, 95% CI 2.009 to 3.778) and OAHOA (<5 nmol/L) (OR 1.340, 95% CI 1.006 to 1.785) were independent predictors of NAFLD (all P<0.05). These results were verified by all 1479 participants. CONCLUSIONS: NAFLD was common among the study participants. In particular, NAFLD was correlated with uric acid. We identified OAHOA as a novel marker of NAFLD prevalence. It provides a reference on the prevention of NAFLD and related metabolic diseases with the rapid urbanisation, technological advancement and population ageing in China over the recent decades. |
format | Online Article Text |
id | pubmed-5892783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58927832018-04-13 Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey Hu, Xiao-Yu Li, Yun Li, Long-Quan Zheng, Yuan Lv, Jia-Hong Huang, Shu-Chun Zhang, Weinong Liu, Liang Zhao, Ling Liu, Zhuiguo Zhao, Xiu-Ju BMJ Open Public Health OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) is a major public health burden in China, and its prevalence is increasing. This study aimed to determine the risk factors and biomarkers of NAFLD. DESIGN: An observational cross-sectional primary survey. SETTING: Central China. PARTICIPANTS: The study included 1479 participants aged over 18 and below 80 years, not currently being treated for cancer or infectious disease or no surgery in the previous year, and no history of cancer or an infectious disease. Participants underwent clinical examination, metabolomic assay and anthropometric assessment. Univariate and logistic regression analyses were used to evaluate associations between covariates and NAFLD. MAIN OUTCOME MEASURES: Risk factors and metabolic biomarkers including sex, body mass index, hypertension, body fat ratio, blood triglycerides, blood fasting glucose, liver enzyme elevation, uric acid and oleic acid-hydroxy oleic acid (OAHOA). RESULTS: Data from the 447 participants (mean age 44.3±11.9 years) were analysed, and the prevalence of NAFLD was 24.7%. Male sex (OR 3.484, 95% CI 2.028 to 5.988), body mass index ≥24 kg/m(2) (OR 8.494, 95% CI 5.581 to 12.928), body fat ratio (≥25 for women, ≥20 for men) (OR 1.833, 95% CI 1.286 to 2.756), triglycerides ≥1.7 mmol/L (OR 1.340, 95% CI 1.006 to 1.785), fasting glucose ≥6.1 mmol/L (OR 3.324, 95% CI 1.888 to 5.850), blood pressure ≥140/90 mm Hg or antihypertensive drug treatment (OR 1.451, 95% CI 1.069 to 1.970), uric acid (≥357 μmol/L for women, ≥416 μmol/L for men) (OR 2.755, 95% CI 2.009 to 3.778) and OAHOA (<5 nmol/L) (OR 1.340, 95% CI 1.006 to 1.785) were independent predictors of NAFLD (all P<0.05). These results were verified by all 1479 participants. CONCLUSIONS: NAFLD was common among the study participants. In particular, NAFLD was correlated with uric acid. We identified OAHOA as a novel marker of NAFLD prevalence. It provides a reference on the prevention of NAFLD and related metabolic diseases with the rapid urbanisation, technological advancement and population ageing in China over the recent decades. BMJ Publishing Group 2018-04-05 /pmc/articles/PMC5892783/ /pubmed/29626047 http://dx.doi.org/10.1136/bmjopen-2017-019974 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Public Health Hu, Xiao-Yu Li, Yun Li, Long-Quan Zheng, Yuan Lv, Jia-Hong Huang, Shu-Chun Zhang, Weinong Liu, Liang Zhao, Ling Liu, Zhuiguo Zhao, Xiu-Ju Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
title | Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
title_full | Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
title_fullStr | Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
title_full_unstemmed | Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
title_short | Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
title_sort | risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892783/ https://www.ncbi.nlm.nih.gov/pubmed/29626047 http://dx.doi.org/10.1136/bmjopen-2017-019974 |
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