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Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians
BACKGROUND: The prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing worldwide. Therefore, we sought to determine the most important predictors of NAFLD among middle-aged men and women in Isfahan, Iran. METHODS: A total of 413 individuals (163 men and 250 women) aged 30–60 years were...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554566/ https://www.ncbi.nlm.nih.gov/pubmed/33088441 http://dx.doi.org/10.4103/ijpvm.IJPVM_274_19 |
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author | Etminani, Reza Manaf, Zahara Abdul Shahar, Suzana Azadbakht, Leila Adibi, Peyman |
author_facet | Etminani, Reza Manaf, Zahara Abdul Shahar, Suzana Azadbakht, Leila Adibi, Peyman |
author_sort | Etminani, Reza |
collection | PubMed |
description | BACKGROUND: The prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing worldwide. Therefore, we sought to determine the most important predictors of NAFLD among middle-aged men and women in Isfahan, Iran. METHODS: A total of 413 individuals (163 men and 250 women) aged 30–60 years were selected by stratified random sampling. The participants had safe alcohol consumption habits (<2 drinks/day) and no symptoms of hepatitis B and C. NAFLD was diagnosed through ultrasound. Blood pressure, anthropometric, and body composition measurements were made and liver function tests were conducted. Biochemical assessments, including the measurement of fasting blood sugar (FBS) and ferritin levels, as well as lipid profile tests were also performed. Metabolic syndrome was evaluated according to the International Diabetes Federation (IDF) criteria. RESULTS: The overall prevalence of ultrasound-diagnosed NAFLD was 39.3%. The results indicated a significantly higher prevalence of NAFLD in men than in women (42.3% vs 30.4%; P < 0.05). Binary logistic regression analysis was performed to determine the significant variables as NAFLD predictors. Overall, male gender, high body mass index (BMI), high alanine aminotransferase (ALT), high FBS, and high ferritin were identified as the predictors of NAFLD. The only significant predictors of NAFLD among men were high BMI and high FBS. These predictors were high BMI, high FBS, and high ferritin in women (P < 0.05 for all variables). CONCLUSIONS: The metabolic profile can be used for predicting NAFLD among men and women. BMI, FBS, ALT, and ferritin are the efficient predictors of NAFLD and can be used for NAFLD screening before liver biopsy. |
format | Online Article Text |
id | pubmed-7554566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-75545662020-10-20 Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians Etminani, Reza Manaf, Zahara Abdul Shahar, Suzana Azadbakht, Leila Adibi, Peyman Int J Prev Med Original Article BACKGROUND: The prevalence of nonalcoholic fatty liver disease (NAFLD) is increasing worldwide. Therefore, we sought to determine the most important predictors of NAFLD among middle-aged men and women in Isfahan, Iran. METHODS: A total of 413 individuals (163 men and 250 women) aged 30–60 years were selected by stratified random sampling. The participants had safe alcohol consumption habits (<2 drinks/day) and no symptoms of hepatitis B and C. NAFLD was diagnosed through ultrasound. Blood pressure, anthropometric, and body composition measurements were made and liver function tests were conducted. Biochemical assessments, including the measurement of fasting blood sugar (FBS) and ferritin levels, as well as lipid profile tests were also performed. Metabolic syndrome was evaluated according to the International Diabetes Federation (IDF) criteria. RESULTS: The overall prevalence of ultrasound-diagnosed NAFLD was 39.3%. The results indicated a significantly higher prevalence of NAFLD in men than in women (42.3% vs 30.4%; P < 0.05). Binary logistic regression analysis was performed to determine the significant variables as NAFLD predictors. Overall, male gender, high body mass index (BMI), high alanine aminotransferase (ALT), high FBS, and high ferritin were identified as the predictors of NAFLD. The only significant predictors of NAFLD among men were high BMI and high FBS. These predictors were high BMI, high FBS, and high ferritin in women (P < 0.05 for all variables). CONCLUSIONS: The metabolic profile can be used for predicting NAFLD among men and women. BMI, FBS, ALT, and ferritin are the efficient predictors of NAFLD and can be used for NAFLD screening before liver biopsy. Wolters Kluwer - Medknow 2020-08-06 /pmc/articles/PMC7554566/ /pubmed/33088441 http://dx.doi.org/10.4103/ijpvm.IJPVM_274_19 Text en Copyright: © 2020 International Journal of Preventive Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Etminani, Reza Manaf, Zahara Abdul Shahar, Suzana Azadbakht, Leila Adibi, Peyman Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians |
title | Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians |
title_full | Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians |
title_fullStr | Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians |
title_full_unstemmed | Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians |
title_short | Predictors of Nonalcoholic Fatty Liver Disease Among Middle-Aged Iranians |
title_sort | predictors of nonalcoholic fatty liver disease among middle-aged iranians |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554566/ https://www.ncbi.nlm.nih.gov/pubmed/33088441 http://dx.doi.org/10.4103/ijpvm.IJPVM_274_19 |
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