Dataset Of Dietary Patterns, Anthropometric Indices, and Biochemical Markers in Adults with Non-Alcoholic Fatty Liver Disease: Insights for Metabolic Health Research

This dataset, includes data from 280 adults (18–65 years) with NAFLD, recruited from Gonabad University of Medical Sciences, Iran, in 2024. It examines dietary patterns, anthropometric indices, biochemical markers, and NAFLD severity to inform nutritional interventions for metabolic health.
Overview
Embedded in the article, the dataset comprises three tables with raw and adjusted data (corrected for age, sex, physical activity). Collected via standardized methods (questionnaires, 24-hour dietary recalls, clinical measurements, ultrasonography), it includes demographic, anthropometric, dietary, physical activity, biochemical, and NAFLD severity data, supporting diverse statistical analyses.
Tables
Table 1: Participant CharacteristicsFor 280 participants:
Demographic: Age (46.06 ± 12.37 years), sex (63.6% female), education (47.1% higher).
Anthropometric: BMI (29.19 ± 4.14 kg/m²), waist circumference (100.99 ± 9.24 cm).
Dietary: Energy intake (2899.61 ± 783.33 kcal) via three 24-hour recalls.
Physical Activity: Levels (63.2% low, 30.7% moderate, 6.1% high).
Biochemical: Triglycerides (186.32 ± 84.66 mg/dL), cholesterol (193.97 ± 37.65 mg/dL), LDL-C (113.74 ± 30.02 mg/dL), HDL-C (42.12 ± 11.68 mg/dL), glucose (95.35 ± 8.71 mg/dL), ALT (54.69 ± 32.35 U/L), AST (37.19 ± 19.06 U/L).
NAFLD Severity: Grades (24.6% grade 1, 63.2% grade 2, 12.2% grade 3).
Table 2: Food Groups and Factor LoadingsLists 23 food groups (e.g., vegetables, red meat) with factor loadings (>0.2) for healthy and unhealthy dietary patterns (KMO: 0.571; Bartlett’s: χ² = 1074.60, p < 0.001).
Table 3: Associations with Metabolic FactorsShows dietary pattern associations with BMI, HDL-C, cholesterol, and NAFLD grades via regression (e.g., healthy pattern: lower BMI, p=0.041; higher HDL-C, p=0.040; unhealthy pattern: higher cholesterol, p=0.007).
Data Collection
Participants had NAFLD, no chronic diseases, special diets, smoking, or alcohol use. Methods:
Demographic: Questionnaires.
Anthropometric: Seca scale, wall-mounted tape.
Dietary: 24-hour recalls.
Physical Activity: IPAQ-SF.
Biochemical: Blood analysis (Pars Azmoon kit).
NAFLD: Samsung RS80A ultrasonography.

Accessibility
Available at https://data.mendeley.com/drafts/tgfp8r7d7g, with an SPSS output file for analysis. Supports exploratory analyses, interventions, meta-analyses, and policy development.
Value
From an underrepresented region, this dataset informs NAFLD research with reliable data, despite limitations (e.g., sampling bias, recall bias, cross-sectional design).
Ethics
Follows Declaration of Helsinki, with consent and approval (IR.TBZMED.REC.1402.750). Supported by Nutrition Research Center, Tabriz (ID: 73108).

***The dataset is also provided as an SPSS output file, facilitating direct statistical analysis for researchers using SPSS software.