The association between food insulin index and odds of non-alcoholic fatty liver disease (NAFLD) in adults: a case-control study.
Biochemical processes
Chronic diseases
Insulin
Non-alcoholic fatty liver disease
Obesity
Journal
Gastroenterology and hepatology from bed to bench
ISSN: 2008-2258
Titre abrégé: Gastroenterol Hepatol Bed Bench
Pays: Iran
ID NLM: 101525875
Informations de publication
Date de publication:
2021
2021
Historique:
entrez:
5
7
2021
pubmed:
6
7
2021
medline:
6
7
2021
Statut:
ppublish
Résumé
This research aimed to study the association of food insulin index and biochemical parameters with the Hyperinsulinemia may play an important role in the development of non-alcoholic fatty liver disease (NAFLD) because of the relationship between insulin response and body fat accumulation. A case-control study of 169 NAFLD patients and 200 healthy adults aged 18-55 years was conducted. Dietary data was collected using a validated 168-item quantitative food frequency questionnaire (FFQ). Food insulin index (FII) was calculated by dividing the total insulin load by total energy intake (kcal/day). Total insulin load (ILoverall) was also calculated using a standard formula. Mean participant age was 43.9 ± 5.9 years. Patients with NAFLD were significantly associated with higher body mass index, levels of liver enzymes, triglyceride, low density lipoprotein-cholesterol (LDL), total cholesterol, and fasting blood sugar (FBS) compared to the healthy subjects ( This study found that adherence to a diet with high FII was associated with greater odds of NAFLD and overweight or obesity. Additional studies are required to better understand this association.
Sections du résumé
AIM
OBJECTIVE
This research aimed to study the association of food insulin index and biochemical parameters with the
BACKGROUND
BACKGROUND
Hyperinsulinemia may play an important role in the development of non-alcoholic fatty liver disease (NAFLD) because of the relationship between insulin response and body fat accumulation.
METHODS
METHODS
A case-control study of 169 NAFLD patients and 200 healthy adults aged 18-55 years was conducted. Dietary data was collected using a validated 168-item quantitative food frequency questionnaire (FFQ). Food insulin index (FII) was calculated by dividing the total insulin load by total energy intake (kcal/day). Total insulin load (ILoverall) was also calculated using a standard formula.
RESULTS
RESULTS
Mean participant age was 43.9 ± 5.9 years. Patients with NAFLD were significantly associated with higher body mass index, levels of liver enzymes, triglyceride, low density lipoprotein-cholesterol (LDL), total cholesterol, and fasting blood sugar (FBS) compared to the healthy subjects (
CONCLUSION
CONCLUSIONS
This study found that adherence to a diet with high FII was associated with greater odds of NAFLD and overweight or obesity. Additional studies are required to better understand this association.
Types de publication
Journal Article
Langues
eng
Pagination
221-228Informations de copyright
©2021 RIGLD, Research Institute for Gastroenterology and Liver Diseases.
Déclaration de conflit d'intérêts
The authors declare that they have no conflict of interest.
Références
World J Diabetes. 2020 May 15;11(5):193-201
pubmed: 32477455
Indian J Clin Biochem. 2008 Apr;23(2):130-5
pubmed: 23105738
Nutrients. 2013 May 10;5(5):1544-60
pubmed: 23666091
Am J Clin Nutr. 1997 Nov;66(5):1264-76
pubmed: 9356547
Expert Rev Gastroenterol Hepatol. 2016;10(2):229-42
pubmed: 26641143
Diabetes Care. 2011 Oct;34(10):2146-51
pubmed: 21949219
Nature. 2006 Dec 14;444(7121):840-6
pubmed: 17167471
Lancet Diabetes Endocrinol. 2014 Nov;2(11):901-10
pubmed: 24731669
Am J Clin Nutr. 2011 Sep;94(3):862-8
pubmed: 21775564
Atherosclerosis. 2015 Mar;239(1):192-202
pubmed: 25617860
Metabolism. 2016 Aug;65(8):1080-6
pubmed: 26775559
Diabetes Technol Ther. 2016 Apr;18(4):218-25
pubmed: 26840067
BMC Fam Pract. 2015 Sep 02;16:113
pubmed: 26329981
Curr Opin Gastroenterol. 2013 Mar;29(2):222-7
pubmed: 23314812
Eur J Nutr. 2020 Jun;59(4):1563-1575
pubmed: 31147833
Cancer Epidemiol Biomarkers Prev. 2010 Dec;19(12):3020-6
pubmed: 20924099
Diabetes Care. 2008 Dec;31(12):2281-3
pubmed: 18835944
Nutrients. 2016 Apr 08;8(4):210
pubmed: 27070641
Nutrition. 2015 May;31(5):697-702
pubmed: 25837215
Int J Mol Sci. 2016 Apr 27;17(5):
pubmed: 27128911
J Nutr. 2019 May 1;149(5):804-815
pubmed: 31004153
Nutr Neurosci. 2021 May;24(5):354-362
pubmed: 31240996
J Acad Nutr Diet. 2020 Oct;120(10):1672-1686.e4
pubmed: 32414656
Am J Clin Nutr. 2011 Jul;94(1):182-90
pubmed: 21543531
J Formos Med Assoc. 2021 Feb;120(2):794-803
pubmed: 32861550
Metabolites. 2020 May 14;10(5):
pubmed: 32423050
Am J Clin Nutr. 2009 Oct;90(4):986-92
pubmed: 19710196
JAMA Pediatr. 2014 Apr;168(4):338-344
pubmed: 24535189
J Hepatol. 2012 Jan;56(1):255-66
pubmed: 21723839
Am J Epidemiol. 1985 Jul;122(1):51-65
pubmed: 4014201
J Hepatol. 2020 Aug;73(2):263-276
pubmed: 32165250
PLoS One. 2015 Oct 29;10(10):e0140908
pubmed: 26512983
Obesity (Silver Spring). 2013 Mar;21(3):E229-35
pubmed: 23404741
Nutrients. 2019 Mar 21;11(3):
pubmed: 30901929
Br J Nutr. 2003 Oct;90(4):823-7
pubmed: 13129452
Int J Obes (Lond). 2012 Nov;36(11):1463-71
pubmed: 22249223
J Nutr. 2006 Jun;136(6):1604-9
pubmed: 16702328
Am J Clin Nutr. 2011 May;93(5):984-96
pubmed: 21325437
N Engl J Med. 2010 Sep 30;363(14):1341-50
pubmed: 20879883