Dietary Determinants of Non-Alcoholic Fatty Liver Disease in Lean and Non-Lean Adult Patients: A Population-Based Study in Shiraz, Southern Iran

Honarvar, Behnam; Lankarani, Kamran Bagheri; Keshani, Parisa; Rafiee, Tayebe

doi:10.5812/hepatmon.44962

Cited by 17 publications

(20 citation statements)

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“…The results of an Indian study reported a NAFLD incidence rate of 8.7% among 1911 subjects and no relationship was found between age, gender or job and NAFLD [ 32 ]. Also, the results of a study in southern Iran showed no relationship between education, occupation and smoking and NAFLD [ 33 ]. However, some previous studies showed that there was a relationship between gender [ 29 , 33 - 35 ], age [ 31 , 33 , 34 ] and marital status [ 33 ] and NAFLD.…”

Section: Discussionmentioning

confidence: 99%

“…The results of a study on 205 NAFLD and 131 non-NAFLD individuals in India showed that 13.2% of the NAFLD patients were underweight, 68.8% obese and 18% overweight [ 37 ]. The results of a study in Iran showed that out of 95 (19.9%) of the individuals diagnosed with NAFLD, 2.7% (n=13) were underweight and 17.2% (n=82) had BMI≥25 [ 33 ]. This research showed a significant relationship between anthropometric indices (BMI, WC, WHR, WHtR) and NAFLD.…”

Section: Discussionmentioning

confidence: 99%

“…Many studies have shown that there is a strong correlation between BMI and NAFLD and that people with higher BMI are at greater risk of NAFLD. They also referred to weight loss as an important strategy for preventing and managing NAFLD [ 31 , 33 , 41 , 42 ]. Furthermore, in a community-based longitudinal cohort study on 6403 participants, Miyake et al .…”

Section: Discussionmentioning

confidence: 99%

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The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS)

Mansour-Ghanaei

Naghipour

et al. 2018

JMedLife

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Introduction: Non-alcoholic fatty liver disease (NAFLD) is an obesity-associated health problem that causes other liver diseases for the patient. Four anthropometric indices: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) were analyzed as NAFLD predictors in the present study.Methods: From the total number of individuals who referred to the PERSIAN Guilan Cohort study (PGCS) located in the north of Iran during the period of study, a total of 960 people were enrolled in the present study. NAFLD was diagnosed using through an abdominal ultrasound exam. Height, weight, WC, BMI, WHR and WHtR were later calculated. Chi-square, ANOVA and logistic regression analyses were used to analyze the risk factors.Results: Out of the 960 individuals who were enrolled in the study, 597 (62.2%) were male and 363 (37.8%) were female (with an average age of 47.21 ± 7.29 years). There was a significant relationship between weight and NAFLD (P<0.001). There was also a significant relationship between BMI (OR= 8.41; 95% CI = 5.59–12.75), WC (OR= 2.67; 95% CI = 2.05–3.48), WHR (OR= 3.84; 95% CI = 2.26–6.52), WHtR (OR= 28.53; 95% CI = 6.94–117.31) and NAFLD (P<0.001). The results of the logistic regression analysis showed that WHtR, BMI and WC were effective predictors for the risk of NAFLD while WHtR played a more important role in the prediction of NAFLD.Conclusion: Anthropometric indices, especially WHtR, as a simple screening tool, seem to be an important criterion for the detection of NAFLD.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS)

Mansour-Ghanaei

Naghipour

et al. 2018

JMedLife

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“…The study included 30 patients with NAFLD (17 female) and 30 healthy controls (17 female) matched for age, sex, and body mass index (BMI), who were randomly selected (with a random number generator) from participants of a cross-sectional population-based study previously conducted in Shiraz (23). Briefly, the previous study had enrolled 542 adult unrelated participants randomly selected from the general population through a proportional cluster random sampling.…”

Section: Methodsmentioning

confidence: 99%

Association between rs2303861 polymorphism in CD82 gene and non-alcoholic fatty liver disease: a preliminary case-control study

Habibzadeh

Honarvar

Silawi³

et al. 2019

Croat Med J

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AimTo investigate the genetic factors involved in the development of non-alcoholic fatty liver disease (NAFLD) and its sequelae in a Middle Eastern population.MethodsThis genetic case-control association study, conducted in 2018, enrolled 30 patients with NAFLD and 30 control individuals matched for age, sex, and body mass index. After quality control measures, entire exonic regions of 3654 genes associated with human diseases were sequenced. Allelic association test and enrichment analysis of the significant genetic variants were performed.ResultsThe association analysis was conducted on 27 NAFLD patients and 28 controls. When Bonferroni correction was applied, NAFLD was significantly associated with rs2303861, a variant located in the CD82 gene (P = 2.49 × 10−7, adjusted P = 0.0059). When we used Benjamini-Hochberg adjustment for correction, NAFLD was significantly associated with six more variants. Enrichment analysis of the genes corresponding to all the seven variants showed significant enrichment for miR-193b-5p (P = 0.00004, adjusted P = 0.00922).ConclusionA variant on CD82 gene and a miR-193b expression dysregulation may have a role in the development and progression of NAFLD and its sequelae.

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“…Furthermore, both MetS and NAFLD progressed in 18.7% of participants during the study. According to the association between NAFLD and MetS, and high prevalence of NAFLD in Iran 41 , considering the factors related to NAFLD regression would be valuable to lead MetS regression.…”

Section: Or (Ci 95%) P-value or (Ci 95%) P-value Or (Ci 95%) P-value mentioning

confidence: 99%

Determinant components of newly onset versus improved metabolic syndrome in a population of Iran

Lankarani

Honarvar

Keshani

et al. 2020

Sci Rep

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This study aimed to determine the risk factors related to regression and progression of metabolic syndrome, in a 4-year cohort study. A total of 540 individuals (≥ 18 years old) participated in both phase of the study. Participants were categorized into 3 categories of regressed, progressed and unchanged metabolic syndrome (MetS). Demographic, anthropometric and biochemical parameters were assessed for each individual in both phase. Variables differences (delta: Δ) between the two phase of study were calculated. Unchanged group was considered as baseline category. Based on IDF, MetS had been regressed and progressed in 42 participants (7.7%) and 112 (20.7%) participants respectively, in the second phase. More than 47% of people, whose MetS regressed, experienced also NAFLD regression. Results of multiple variable analysis revealed that increased age, positive Δ-TG, and Δ-FBS, significantly increased the odds of MetS progression based on IDF and ATP III definitions, while negative Δ-HDL and Δ-neutrophil to lymph ration increased the odds of progression. On the other hand, negative Δ-TG and positive Δ-HDL significantly increased the odds of Mets regression based of both IDF and ATP III. Management of hypertriglyceridemia, hyperglycemia, and HDL is a critical, non-invasive and accessible approach to change the trend of MetS.

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Dietary Determinants of Non-Alcoholic Fatty Liver Disease in Lean and Non-Lean Adult Patients: A Population-Based Study in Shiraz, Southern Iran

Cited by 17 publications

References 17 publications

The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS)

The role of anthropometric indices in the prediction of non-alcoholic fatty liver disease in the PERSIAN Guilan Cohort study (PGCS)

Association between rs2303861 polymorphism in CD82 gene and non-alcoholic fatty liver disease: a preliminary case-control study

Determinant components of newly onset versus improved metabolic syndrome in a population of Iran

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